FORWARD BASE B

"Pay my troops no mind; they're just on a fact-finding mission."

Mental Calculators

Interesting piece on how mental calculators are competing against each other to quickly solve math problems:

The high point of the abacus calendar is the All Japan Soroban Championship, which took place earlier this year in Kyoto.

And the high point of the championship is the category called “Flash Anzan” – which does not require an abacus at all.

Or rather, it requires contestants to use the mental image of an abacus. Since when you get very good at the abacus it is possible to calculate simply by imagining one.

In Flash Anzan, 15 numbers are flashed consecutively on a giant screen. Each number is between 100 and 999. The challenge is to add them up.

Simple, right? Except the numbers are flashed so fast you can barely read them.

I was at this year’s championship to see Takeo Sasano, a school clerk in his 30s, break his own world record: he got the correct answer when the numbers were flashed in 1.70 seconds. In the clip below, taken shortly before, the 15 numbers flash in 1.85 seconds. The speed is so fast I doubt you can even read one of the numbers.

I’ve often wondered at how 3d visual displays, like Google Glass, are going to change the way we work with and augment data. It may be possible that we can speed up our own performance dramatically alongside computers that we work with.

More:

http://psychiatry.wustl.edu/Resources/LiteratureList/2001/January/Pesenti.pdf

Calculating prodigies are individuals who are exceptional at quickly and accurately solving complex mental calculations. With positron emission tomography (PET), we investigated the neural bases of  the cognitive abilities of an expert calculator and a group of non-experts, contrasting complex mental calculation to memory retrieval of arithmetic facts. We demonstrated that calculation expertise was not due to increased activity of processes that exist in non-experts; rather, the expert and the non-experts used different brain areas for calculation. We found that the expert could switch between short-term effort-requiring storage strategies and highly efficient episodic memory encoding and retrieval, a process that was sustained by right prefrontal and medial temporal areas.

http://www.ncbi.nlm.nih.gov/pubmed/21834408

Inspired by Ribot’s psychological work (1881), they believed in the existence of not one type of memory but several partial, special, and local memories, each devoted to a particular domain. In all arithmetical prodigies, memory for digits is abnormally developed compared with other memories. Inaudi was considered to be an auditory memory-based mental calculator; when memorizing digits, he did not rely onthe appearance of the items or create visual imagery of any kind. Rather, he remembered digits principally by their sounds. Inaudi’s methods of calculation and memorization were original and different from those used by Diamandi, who was a typical visual memory-based mental calculator. The experiments presented in the 1893 article were among the first scientific demonstrations of the importance to psychology of studying different types of memory. The present work gives a translation of this pioneering experimental article on expert calculators by Charcot and Binet, instructive for the comprehension of normal memory.

http://www.ncbi.nlm.nih.gov/pubmed/22044611 that people with mild intellectual disabilities (ID) have difficulty in ‘weighing up’ information, defined as integrating disparate items of information in order to reach a decision. However, this problem could be overcome by the use of a visual aid to decision making. In an earlier study, participants were taught to translate information about the pros and cons of different choices into a single evaluative dimension, by manipulating green (good) and red (bad) bars of varying lengths (corresponding to the value ascribed). Use of the visualcalculator increased the consistency of performance (and decreased impulsive responding) in a temporal discounting task, and increased the amount of information that participants provided to justify their decisions in scenario-based financial decision-making tasks.

http://www.ncbi.nlm.nih.gov/pubmed/22044611

Previous research has demonstrated that people with mild intellectual disabilities (ID) have difficulty in ‘weighing up’ information, defined as integrating disparate items of information in order to reach a decision. However, this problem could be overcome by the use of a visual aid to decision making. In an earlier study, participants were taught to translate information about the pros and cons of different choices into a single evaluative dimension, by manipulating green (good) and red (bad) bars of varying lengths (corresponding to the value ascribed). Use of the visualcalculator increased the consistency of performance (and decreased impulsive responding) in a temporal discounting task, and increased the amount of information that participants provided to justify their decisions in scenario-based financial decision-making tasks.

The results suggest that the visual calculator has practical applicability to support decision making by people with mild ID in community settings.

http://www.ncbi.nlm.nih.gov/pubmed/20075011

Among the many examples of the congenital form are the calendar calculators, who can quickly provide the day of the week for any date in the past; the musical savants, who have perfect pitch; and the hyperlexics, who (in one case) can read a page in 8s and recall the text later at a 99% level. Other types of talents and artistic skills involving three-dimensional drawing, map memory, poetry, painting, and sculpturing are also observed. One savant could recite without error the value of Pi to 22,514 places. Persons with the acquired form develop outstanding skills after brain injury or disease, usually involving the left frontotemporal area. This type of injury seems to inhibit the “tyranny of the left hemisphere,” allowing the right hemisphere to develop the savant skills. Another way to inhibit the left frontotemporal area is to use transcranial magnetic stimulation in normal subjects; nearly one-half of these subjects can then perform new skills during the stimulation that they could not perform before. This type of finding indicates the potential in all of us for the development of savant skills in special circumstances.

http://www.ncbi.nlm.nih.gov/pubmed/19679763

In the present study, we examined cortical activation as a function of two different calculation strategies for mentally solving multidigit multiplication problems. The school strategy, equivalent to long multiplication, involves working from right to left. The expert strategy, used by “lightning” mental calculators (Staszewski, 1988), proceeds from left to right. The two strategies require essentially the same calculations, but have different working memory demands (the school strategy incurs greater demands). The school strategy produced significantly greater early activity in areas involved in attentional aspects of number processing (posterior superior parietal lobule, PSPL) and mental representation (posterior parietal cortex, PPC), but not in a numerical magnitude area (horizontal intraparietal sulcus, HIPS) or a semantic memory retrieval area (lateral inferior prefrontal cortex, LIPFC). An ACT-R model of the task successfully predicted BOLD responses in PPC and LIPFC, as well as in PSPL and HIPS.

http://www.ncbi.nlm.nih.gov/pubmed/22206802

No gross anatomical differences were observed. By morphological assessment, cerebral volume (1362 mL) was larger than normative literature values for adult males. The corpus callosum was intact and did not exhibit abnormal structural features. The right cerebral hemisphere was 1.9% larger than the left hemisphere; the right amygdala and right caudate nuclei were 24% and 9.9% larger, respectively, compared with the left side. In contrast, the putamen was 8.3% larger on the left side. Fractional anisotropy was increased on the right side as compared with the left for 4 of the 5 bilateral regions studied (the amygdala, caudate, frontal lobe, and hippocampus). Fiber tract bundle volumes were larger on the right side for the amygdala, hippocampus, frontal lobe, and occipital lobe. Both the left and the right hippocampi had substantially increased axial and mean diffusivities as compared with those of a comparison sample of nonsavant adult males. The corpus callosum and left amygdala also exhibited high axial, radial, and mean diffusivities. MR spectroscopy revealed markedly decreased γ-aminobutyric acid and glutamate in the parietal lobe.

See also:

http://colonyofcommodus.wordpress.com/2012/04/29/daniel-tammet-memorization-ways-of-knowing/

Using Bitcoin To Avoid US Poker Laws

Here is an interesting step that might broaden the market for bitcoins. Right now bitcoins fails a simple convenience test – it can take an hour or more to convert the money into bitcoins. Now an online poker store has added bitcoins as a form of payment, giving it a much wider reach:

http://www.businessweek.com/articles/2013-01-03/bitcoin-making-online-gambling-legal-in-the-u-dot-s-dot

“Michael Hajduk had sunk one year and about $20,000 into developing his online poker site, Infiniti Poker, when the U.S. online gambling market imploded. On April 15, 2011, a day now known in the industry as Black Friday, the U.S. Department of Justice shut down the three biggest poker sites accessible to players in the U.S., indicting 11 people on charges of bank fraud, money laundering, and illegal gambling. … Infiniti Poker … plans to accept Bitcoin when it launches later this month. The online currency may allow American gamblers to avoid running afoul of complex U.S. laws that prevent businesses from knowingly accepting money transfers for Internet gambling purposes. ‘Because we’re using Bitcoin, we’re not using U.S. banks — it’s all peer-to-peer,’ Hajduk says. ‘I don’t believe we’ll be doing anything wrong.’”

Hajduk says the ability to store Bitcoins on players’ computers is appealing. “At the end of the day, [the government] cannot freeze your account because they cannot kick down the door to Bitcoin,” he says

There are other risks as well. In recent months hackers have pulled off several Bitcoin heists, and this summer Bitcoin Savings & Trust, billed as a “Bitcoin hedge fund,” made off with more than $5 million entrusted to the site by investors, in what appears to be a Ponzi scheme. Also, Bitcoin wallets can vanish as a result of hard-drive crashes or other computer problems. That’s how at least one user lost 50,000 Bitcoins, according to Peter Vessenes, chairman of Bitcoin Foundation, an organization that helps develop and promote the virtual currency.

The economy for the infamous SilkRoad is much smaller than the 1.5 trillion+ profits that come from the international drug trade:

http://arstechnica.com/tech-policy/2012/08/study-estimates-2-million-a-month-in-bitcoin-drug-sales/

Silk Road sellers have collectively had around $1.9 million of sales per month in recent months. Almost 1,400 sellers have participated in the marketplace, and they have collectively earned positive ratings from 97.8 percent of buyers. And the service is growing, with Silk Road’s estimated commission revenue roughly doubling between March and July of this year.

The current market price for all existing bitcoins is estimated at over $100 million.

Replying To Justin Boland On Crisis, Environmentalism & Change

Original post:

http://innovationpatterns.blogspot.com/2013/01/01-09-2013-professor-meadows.html

DER SPIEGEL: Professor Meadows, 40 years ago you published “The Limits to Growth” together with your wife and colleagues, a book that made you the intellectual father of the environmental movement. The core message of the book remains valid today: Humanity is ruthlessly exploiting global resources and is on the way to destroying itself. Do you believe that the ultimate collapse of our economic system can still be avoided?

Dennis Meadows: The problem that faces our societies is that we have developed industries and policies that were appropriate at a certain moment, but now start to reduce human welfare, like for example the oil and car industry. Their political and financial power is so great and they can prevent change. It is my expectation that they will succeed. This means that we are going to evolve through crisis, not through proactive change.

My response:

What is true in the US isn’t true in Germany, or in China, India or any number of other rising countries.

Take Germany, which has had a serious power crisis over the last few years. Germany decided to begin shutting down it’s nuclear plants almost overnight after Fukushima.

This destroyed several German industries that have been established for decades overnight because the cost of power rose to be one of the highest in Europe due to shortages. Other’s who could squeeze out small gains had to modify their technology to be more energy efficient.

Environmentalists fill a strange niche in this ecosystem – when you protest or delay the building of new reactors you only use the old ones, or rely more on coal plants.

So you end up with old reactor designs that don’t have passive safety standards to protect against meltdown during power outages or breaches, while also requiring more maintenance and more fuel. All of which means more jobs, but less overall efficiency. Another secondary effect of no new plants being built – most old designs (with the exception of France) only run their fuel cycle once, which creates a lot more waste to be recycled. Newer closed fuel designs burn and recycle the fuel, in some cases without leaving the reactor, which dramatically reduces waste.

Fukushima was built in the 1960′s, designs that old were supposed to be decommissioned in 30-40 years. In the case of Fukushima many of the issues weren’t just with the age of the design, but also with falsification of records, lying and inaction.

On the upside, Germany is leading the world in solar adoption. It will be several years until solar can provide for German energy needs no matter how much austerity they enforce. Was this crisis caused by “the solar cartel”, or panic and willful ignorance?

The thing is, no one can “stop” the technological progress across the world. But it can certainly be slowed down.

The reactors move to India, China and even the US. Same thing happens with GMOs, stem cells, aerogel or any other technology you want to bring up. Sometimes distribution is too difficult or costly, or it can be outright blocked by a cartel. Sometimes there are legal countermoves like with stem cells, other times you just move shop to a more enterprising district, or in the case of WikiSpeed the business model is so outdated that you can beat competitors just by not being ancient.

But the macro-pattern is still towards individual empowerment, decentralization and internationalization.

There will be periods that are without a safety net, that’s what I see. Many people don’t have a clear direction now that we have more freedom and less guidance from traditional institutions. As more power gets pushed to the individual and to small groups, it will depend on whether they want proactive change.

M23 & Congo – 4GW In Action

gomavolcano

For a period of about 2 weeks, the rebel M23s occupied the city of Goma in the Democratic Republic of the Congo. The government forces didn’t fight back, instead choosing to flee the city for secure government compounds. The U.N. forces concentrated themselves there, leaving the city to be plundered by the rebel forces. This isn’t a surprise as most of the Army officers had already been bought off by the rebels. Any political supporters of the government in the city could then be killed on a whim by the rebel forces. After the 2 weeks, M23 pulled out before international resistance could be formed. Both the US and UK pulled their aid from bordering Rwanda, who were likely supporting the rebels so that they could destabilize the Congo government, making it easier to gain access to the mineral rich area.

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In other words, the rebels pulled out on their own terms after they had taken everything worth taking. As is standard operating procedure, many rebels simply took of their uniform and stayed behind to disrupt government infrastructure and programs, thereby further reducing the support and legitimacy of the government. The lesson is fairly simple, pay very close attention to the loyalties and self interest of everyone in a conflict region if you want to understand how it will develop. Look at the extended social networks, friends of friends.


http://www.aljazeera.com/indepth/features/2012/12/2012122134149848784.html

“The soldiers we see here are the ones that took over this city? Is that it?” the 78-year-old said. “I think they are still here in hiding.”

Many residents are convinced that M23 soldiers swapped their military fatigues for civilian clothing and will remain in the city as “infiltrators”.

“Look, I am a Congolese. I am from this place. I can tell the difference between a civilian and a soldier. And, for sure, they are here,” 33-year-old mechanic Thierry Bisimwa told Al Jazeera. “Taking off their uniform and putting on civilian dress is a strategy.”

“We have a situation where army officials, in the middle of a war, were selling weapons to the M23 … what is going on?”

He was referring to General Gabriel Amisi, the DRC’s chief of land forces, who was suspended on November 23 when the UN alleged he had been “smuggling arms” to multiple rebel groups in the region.

According to people here, he was not the only military official playing both sides.

“We have an army with high-level officers selling arms and information to the other side. This is why they are so incompetent,” Bisimwa said.

There is a smouldering disdain for the United Nations here, as well as rage directed towards neighbouring Rwanda and Uganda for their roles in the crisis.

What Gave Away Bin Laden’s Location

OB-NT344_iosama_H_20110503053717

As you would expect, Osama Bin Laden kept messages to friends and family reasonably secure. However transmissions between his bodyguards and their families were not subjected to the same level of scrutiny. The fact that he stayed in such a high profile house was unusual however. Anyone with the slightest bit of curiosity would wonder about the purpose of a compound with 12 foot concrete walls and barbed wire. It is to be expected that he would have the cooperation of local military and intelligence elites, rebels have a very difficult time operating unless they stack the deck in their favor by allying with neighboring forces. Their lack of technological sophistication is also pretty standard, many documents have been captured unecrypted from insurgents because they don’t understand that encryption is very difficult to impossible to break if done properly.

http://www.csmonitor.com/World/Asia-South-Central/2011/0502/Bin-Laden-bodyguard-s-satellite-phone-calls-helped-lead-US-forces-to-hiding-place

Satellite phone calls that Osama bin Laden’s bodyguard made from July to August last year are believed to have helped US forces hunt down the Al Qaeda leader in the Pakistani compound where he was killed early Monday, according to local Pakistani intelligence sources.

US intelligence agencies tracked the Kuwaiti bodyguard’s calls from the compound to Al Qaeda associates in the cities of Kohat and Charsada in Khyber Pakhtunkhwa Province, a narrative that was corroborated by several sources.

From Wiki:

http://en.wikipedia.org/wiki/Location_of_Osama_bin_Laden#Tracking

American intelligence officials discovered the whereabouts of Osama bin Laden by tracking one of his couriers. Information was collected from Guantánamo Bay detainees, who gave intelligence officers the courier’s pseudonym and said that he was a protégé of Khalid Sheikh Mohammed.[5] In 2007, U.S. officials discovered the courier’s real name and, in 2009, that he lived in Abbottābad, Pakistan.[6] Using satellite photos and intelligence reports, the CIA surmised the inhabitants of the mansion. In September, the CIA concluded that the compound was “custom built to hide someone of significance” and that bin Laden’s residence there was very likely.[7][8] Officials surmised that he was living there with his youngest wife.[8]

Built in 2005, the three-story[12] mansion was located in a compound about 4 km (2.5 mi.) northeast of the center of Abbottabad.[7] While the compound was assessed by US officials at a value of USD 1 million, local real-estate agents assess the property value at USD 250 thousand.[13] On a lot about eight times the size of nearby houses, it was surrounded by 12- to 18-foot (3.7-5.5 m)[8] concrete walls topped with barbed wire.[7] There were two security gates and the third-floor balcony had a seven-foot-high (2.1 m) privacy wall.[12] There was no Internet or telephone service coming into the compound. Its residents burned their trash, unlike their neighbors, who simply set it out for collection. The compound is located (34°10′09″N 73°14′33″E) and 1.3 km (0.8 mi.) southwest of the closest point of the sprawling Pakistan Military Academy.[14] President Obama met with his national security advisors on March 14, 2011, in the first of five security meetings over six weeks. On April 29, at 8:20 a.m., Obama convened with Thomas DonilonJohn O. Brennan, and other security advisers in the Diplomatic Room, where he authorized a raid of the Abbottābad compound. The government of Pakistan was not informed of this decision.[7]

AFRIDI_3.jpg.crop_display

US Intelligence services contacted a Pakistani physician through the US NGO Save The Children, to help them set up a fake vaccination program that would allow them to collect DNA to identify the people inside of the compound. This lead to him being arrested and sentenced to 33 years for Treason, supposedly for links to a local tribal terrorist organization:

To identify the occupants of the compound, the CIA worked with doctor Shakil Afridi to organize a fake vaccination program. Nurses gained entry to the residence to vaccinate the children and extract DNA,[9] which could be compared to a sample from his sister, who died in Boston in 2010.[10] It’s not clear if the DNA was ever obtained.[11]

http://en.wikipedia.org/wiki/Shakil_Afridi

Colleagues at Jamrud Hospital in Pakistan’s northwestern Khyber tribal were suspicious of Dr. Shakeel Afridi’s, the hospital’s chief surgeon, absences which he explained as “business” to attend to in Abbottabad. Dr Afridi was accused of having taken a half-dozen World Health Organization cooler boxes without authorization. The containers are for inoculation campaigns, but no immunization drives were underway in Abbottabad or the Khyber agency.[11][12]

Pakistani investigators said in a July 2012 report that Afridi met 25 times with “foreign secret agents, received instructions and provided sensitive information to them.”[13] According to Pakistani reports, Afridi told investigators that the charity Save the Children helped facilitate his meeting with U.S. intelligence agents although the charity denies the charge. The report alleges that Save the Children’s Pakistan director introduced Afridi to a western woman in Islamabad and that Afridi and the woman met regularly afterwards.

You Are In The Future

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There are some pundits proclaiming the eternal life of “pink collar” jobs in the service and hospitality industry. They are in vogue because that’s where the majority of the job growth has come from, they are easy to create and give people a way to scratch out a living doing rote work. This has lead to the false assumption that the majority of these jobs are irreplaceable by computers and robotics.

One of the prime candidates is nursing, which requires more education and training than most of the other service jobs. Amusingly enough, in an age when people are talking about replacing doctors who have decades of experience in general practice with narrow AI on cellphones and teleconferencing, people believe nurses and other “pink collar” jobs are immune. With the exception of NICU, CCU and other specialist nurses, most of the work that they do can be replaced or augmented by current technology as is, with a much smaller margin of error. Things like delivering medication at specific times, giving a patient ice water, moving patients to avoid bed sores, ensuring that a patient is not given food that is against his diet requirements (e.g. diabetics) and checking to see if a patient is faking a seizure to get attention.

Eliminating this frees up time, and would likely lead to staffing cuts. Even the software that nurses use for giving reports can be vastly improved, though you would have to use programmers who are actually competent. Current software requires hours of training because of the unintuitive design.

The other part of the argument is that human interaction cannot be replicated by machines, and therefore people will always want other humans to help them. This misses the point entirely, the people don’t care about the nurse, they care about how she serves them. When something comes along that can serve them in basic ways dramatically better, the nurse will be put out of work. If people were fooled by Eliza, they won’t mind expressing themselves to modern chatbots, mainly because they just want to express their feelings.

120831035153-low-wage-jobs-monster

Pundits are still talking as if farming won’t be automated for 40 years, when we are already deploying self driving tractors and UAV’s for crop dusting. And more than likely, the crop that the farmer is harvesting is a GMO.

Nevada, California and Florida have already legalized self driving cars. We’ve developed simple plug-ins that stop you from browsing blocked sites after a set amount of time. The first of many pre-commitment devices that monitor, force and shame you into whatever you or society wants you to be:

http://www.slate.com/articles/business/moneybox/2011/01/the_odysseus_option.single.html

If you agree—and only if you agree—Progressive Insurance will give you a device to install in your car that will rat you out for jack-rabbit starts and slamming on the brakes. * It’s a small thing that plugs into your on-board diagnostic system, and it transmits as you drive. If your little minder shows that you don’t act like Dale Earnhardt Jr. behind the wheel, you’ll save up to 30 percent on your auto insurance. Although there’s no official penalty for letting the company find out that you regularly lay down rubber, in fact you’ll pay more for coverage than will tamer drivers. You’ll also be acting to tame your own behavior by raising the price of recklessness.

Progressive’s driving spy is a sneaky example of the “precommitment device,” a technique that people use to bind themselves to their preferred desires, and a subject I have been studying for my new book about the problem of self-control,We Have Met the Enemy.

It’s too taboo to mention how quickly things are changing, optimism is alright just as long as you aren’t too specific. Complexity is now used as an excuse for not dealing with simple but emotionally difficult problems.

You’re in the future, start acting like it.

Open Source Intelligence Analysis – Demographics

Getting good demographics can help you to quickly understand the context of messages that circulate through different websites. The easiest method for large websites is to look them up on 
http://www.quantcast.com/

For instance, we an obvious pattern that hispanics and blacks tend to visit conspiracy websites much more often than whites. We also see that many of the sites tend to have older visitors with higher incomes. The exception are data driven websites like Wikileaks, which tend to be lower income but highly educated viewers who are mostly white or asian.


If you can find facebook groups for websites like this, you can cross-check some of the basic information by looking at user photos, names, and ages (keep in mind that facebook users tend to be younger than average):

To get a quick introduction to the character of a website, simply do an imagesearch of it on google, e.g.: site:http://forum.prisonplanet.com/index.php

Search through the websites looking for mentions of states and/or cities using google, e.g.: texas site:infowars.com (don’t add a space between the search command and the website, so use site:websitehere.com). Look for introduction threads or user profiles that list locations. Twitter accounts can also assist in this process.

With this information you can cross-correlate the cities members live in to get an idea of their general make-up, and how it compares to other demographic sources.

If there are a lot of unique images on the website, use google’s image search function to look around for other websites with the same images, which will expand your understanding of the psychographics of the users by finding similar sites and images.

For more google search ideas, look at “How to solve impossible problems: Daniel Russell’s awesome Google search technique”:


http://www.johntedesco.net/blog/2012/06/21/how-to-solve-impossible-problems-daniel-russells-awesome-google-search-techniques/

If you want to map out keywords and connections, use a graph similar to this:


http://www.touchgraph.com/seo

A basic search gives us something like this:

Which shows us that we can also harvest data from youtube and amazon, as well as the smaller linked websites.

Now we have the basic demographics, we look for commonalities. Search through abstracts of psychology journals using pubmed.gov or google scholar, looking for keywords related to conspiracy theories, demographic information and psychology journals.

We end up with some curious things like this:


http://heb.sagepub.com/content/32/4/474.short

This article examines the endorsement of conspiracy beliefs about birth control (e.g., the belief that birth control is a form of Black genocide) and their association with contraceptive attitudes and behavior among African Americans. The authors conducted a telephone survey with a random sample of 500 African Americans (aged 15-44). Many respondents endorsed birth control conspiracy beliefs, including conspiracy beliefs about Black genocide and the safety of contraceptive methods. Stronger conspiracy beliefs predicted more negative attitudes toward contraceptives. In addition, men with stronger contraceptive safety conspiracy beliefs were less likely to be currently using any birth control. Among current birth control users, women with stronger contraceptive safety conspiracy beliefs were less likely to be using contraceptive methods that must be obtained from a health care provider. Results suggest that conspiracy beliefs are a barrier to pregnancy prevention. Findings point to the need for addressing conspiracy beliefs in public health practice.

And:


http://onlinelibrary.wiley.com/doi/10.1111/0162-895X.00160/abstract

This study used canonical correlation to examine the relationship of 11 individual difference variables to two measures of beliefs in conspiracies. Undergraduates were administered a questionnaire that included these two measures (beliefs in specific conspiracies and attitudes toward the existence of conspiracies) and scales assessing the 11 variables. High levels of anomie, authoritarianism, and powerlessness, along with a low level of self-esteem, were related to beliefs in specific conspiracies, whereas high levels of external locus of control and hostility, along with a low level of trust, were related to attitudes toward the existence of conspiracies in general. These findings support the idea that beliefs in conspiracies are related to feelings of alienation, powerlessness, hostility, and being disadvantaged. There was no support for the idea that people believe in conspiracies because they provide simplified explanations of complex events.

And:


http://www.jstor.org/discover/10.2307/3791630?uid=2&uid=4&sid=21101379127527

From this information we can break them into traditional psychographics using stock models:

Now you can create a database that can be used for advanced analytic operations, using R, excel, SAS or a programming language like Python. R tends to be more effective for smaller sets less than 2GB because of it’s memory usage, but it has nearly all statistical functions anyone has thought to use which makes it very useful for experimental projects. SAS is commercial software that is mainly effective for large data sets. Excel is a decent entry level solution. Python is not quite as flexible as R yet, but it’s modules are improving and it can be interfaced with R.

Dealing With Complexity – Solving Wicked Problems

Allen Downey, in his book Think Complexity, identifies a shift in the axes of scientific models:

Equation-based –> Simulation-based

Analysis –> computation

These new models allow us to not only predict behavior, but to also introduce randomness and give agents more detail than we see in classical approaches like Game Theory.

DARPA and various other government agencies and corporations lead the way in the early years for simulations. And slowly it filtered down through the intellectual strata until some K-12 programs started using NetLogo to teach kids about cell structures, the behavior of gas molecules and emergent complexity. The options at our fingertips still aren’t anywhere near as good as they will be in 5 or so years, but it’s what we have to work with.

Allen goes through several pages of changes in scientific modeling caused by the equation to simulation and analysis to computation shift, you can read it on page 16-22 if you’re curious (the book is free in PDF form).

This brings me around to the other point of my post: humans are horrible at working with complexity for a lot of reasons. One of the biggest I’ve seen so far is working memory. There is too much information, and people can’t sort through it quickly enough. And even when they can, they can’t hold enough of it inside of their heads to make the connections they need to understand their situation and plan out possible contingencies.

The average person can hold 5-9 objects in their working memory at a time, which seriously hinders their ability to figure out large complex scenarios with hundreds of thousands of probabilities. Simulations can work around this by giving you real time feedback on changes in variables while incorporating randomness, but for regular analysis finding ways to “visualize” information seems to work well, more on this in a minute.

Nassim Nicholas Taleb’s Black swan theory represents one of the many articulations of the “Unknown Unknown” categories we have to deal with. They are the side effect of an environment too complex for most people to understand. He used two examples, the 9/11 attack and the mortgage meltdown:

http://en.wikipedia.org/wiki/Black_swan_theory

An example Taleb uses to explain his theory is the events of 11 September 2001. 9/11 was a shock to all common observers. Its ramifications continue to be felt in many ways: increased levels of security; “preventive” strikes or wars by Western governments. The coordinated, successful attack on the World Trade Center and The Pentagon using commercial airliners was virtually unthinkable at the time. However, with the benefit of hindsight, it has come to be seen as a predictable incident in the context of the changes in terrorist tactics

Common observers didn’t think it was possible, however many experts had already considered such a scenario:

http://en.wikipedia.org/wiki/Rick_Rescorla#At_the_World_Trade_Center

After the 1988 bombing of Pan Am Flight 103 over Lockerbie, Scotland, Rescorla worried about a terrorist attack on the World Trade Center. In 1990, he and a former military colleague wrote a report to the Port Authority of New York and New Jersey, which owns the site, insisting on the need for more security in the parking garage. Their recommendations, which would have been expensive, were ignored, according to James B. Stewart‘s biography of Rescorla, Heart of a Soldier.[7]

After Rescorla’s fears were borne out by the 1993 World Trade Center bombing, he gained greater credibility and authority, which resulted in a change to the culture of Morgan Stanley,[7] whom he believed should have moved out of the building, as he continued to feel, as did his old American friend from Rhodesia, Dan Hill, that the World Trade Center was still a target for terrorists, and that the next attack could involve a plane crashing into one of the towers.[8] He recommended to his superiors at Morgan Stanley that the company leave Manhattan. Office space and labor costs were lower in New Jersey, and the firm’s employees and equipment would be safer in a proposed four-story building. However, this recommendation was not followed as the company’s lease at the World Trade Center did not terminate until 2006. At Rescorla’s insistence, all employees, including senior executives, then practiced emergency evacuations every three months.[9]

Feeling that the authorities lost legitimacy after they failed to respond to his 1990 warnings, he concluded that employees of Morgan Stanley, which was the largest tenant in the World Trade Center (occupying 22 floors), could not rely on first responders in an emergency, and needed to empower themselves through surprise fire drills, in which he trained employees to meet in the hallway between stairwells and go down the stairs, two by two, to the 44th floor.[7]

http://en.wikipedia.org/wiki/September_11_attacks_advance-knowledge_conspiracy_theories#Intelligence_warnings

  • March 2001 – Italian intelligence warns of an al Qaeda plot in the United States involving a massive strike involving aircraft, based on their wiretap of al Qaeda cell in Milan.
  • July 2001 – Jordanian intelligence told US officials that al-Qaeda was planning an attack on American soil, and Egyptian intelligence warned the CIA that 20 al Qaeda Jihadists were in the United States, and that four of them were receiving flight training.
  • August 2001 – The Israeli Mossad gives the CIA a list of 19 terrorists living in the US and say that they appear to be planning to carry out an attack in the near future.
  • August 2001 – The United Kingdom is warned three times of an imminent al Qaeda attack in the United States, the third specifying multiple airplane hijackings. According to the Sunday Herald, the report is passed on to President Bush a short time later.
  • September 2001 – Egyptian intelligence warns American officials that al Qaeda is in the advanced stages of executing a significant operation against an American target, probably within the US.

Likewise, the mortgage meltdown was technically a black swan, but was easily predictable if you saw the pattern of ownership which clearly indicated fraud.

Taleb’s answer to this problem is not to try and predict possible future scenarios, but to simply make yourself more resilient. I don’t disagree with resilience, but I think an expanded approach can be taken here. The flaw that lead to the Black swans was not being able to make connections with information. If we don’t know what scenarios are most likely, we could just as easily end up putting too much effort on defense instead of looking for exponential returns on our resources.

How do we know when we’re looking at a very complex problem? Complex systems tend to be made up of diverse agents with interdependent relationships that change over time. So the question and the answers are changing. The behavior, emotions and motivations of the people in the problem are shifting. The connections between them also change. What does that mean?

For that we turn to Rittel and Webber:

http://www.swemorph.com/wp.html

Ten Criteria for Wicked Problems

Rittel and Webber characterise wicked problems by the following 10 criteria. (It has been pointed out that some of these criteria are closely related or have a high degree overlap, and that they should therefore be condensed into four or five more general criteria. I think that this is a mistake, and that we should treat these criteria as 10 heuristic perspectives which will help us better understand the nature of such complex social planning issues.)

1. There is no definite formulation of a wicked problem.

“The information needed to understand the problem depends upon one’s idea for solving it. This is to say: in order to describe a wicked problem in sufficient detail, one has to develop an exhaustive inventory for all the conceivable solutions ahead of time.” [This seemingly incredible criterion is in fact treatable. See below.]
2. Wicked problems have no stopping rules.

In solving a tame problem, “… the problem-solver knows when he has done his job. There are criteria that tell when the solution or a solution has been found”. With wicked problems you never come to a “final”, “complete” or “fully correct” solution – since you have no objective criteria for such. The problem is continually evolving and mutating. You stop when you run out of resources, when a result is subjectively deemed “good enough” or when we feel “we’ve done what we can…”
3. Solutions to wicked problems are not true-or-false, but better or worse.

The criteria for judging the validity of a “solution” to a wicked problem are strongly stakeholder dependent. However, the judgments of different stakeholders …”are likely to differ widely to accord with their group or personal interests, their special value-sets, and their ideological predilections.” Different stakeholders see different “solutions” as simply better or worse.
4. There is no immediate and no ultimate test of a solution to a wicked problem.

“… any solution, after being implemented, will generate waves of consequences over an extended – virtually an unbounded – period of time. Moreover, the next day’s consequences of the solution may yield utterly undesirable repercussions which outweigh the intended advantages or the advantages accomplished hitherto.”
5. Every solution to a wicked problem is a “one-shot operation”; because there is no opportunity to learn by trial-and-error, every attempt counts significantly.

“… every implemented solution is consequential. It leaves “traces” that cannot be undone … And every attempt to reverse a decision or correct for the undesired consequences poses yet another set of wicked problems … .”
6. Wicked problems do not have an enumerable (or an exhaustively describable) set of potential solutions, nor is there a well-described set of permissible operations that may be incorporated into the plan.

“There are no criteria which enable one to prove that all the solutions to a wicked problem have been identified and considered. It may happen that no solution is found, owing to logical inconsistencies in the ‘picture’ of the problem.”
7. Every wicked problem is essentially unique.

“There are no classes of wicked problems in the sense that the principles of solution can be developed to fit all members of that class.” …Also, …”Part of the art of dealing with wicked problems is the art of not knowing too early which type of solution to apply.” [Note: this is very important point. See below.]
8. Every wicked problem can be considered to be a symptom of another [wicked] problem.

Also, many internal aspects of a wicked problem can be considered to be symptoms of other internal aspects of the same problem. A good deal of mutual and circular causality is involved, and the problem has many causal levels to consider. Complex judgements are required in order to determine an appropriate level of abstraction needed to define the problem.
9. The causes of a wicked problem can be explained in numerous ways. The choice of explanation determines the nature of the problem’s resolution.

“There is no rule or procedure to determine the ‘correct’ explanation or combination of [explanations for a wicked problem]. The reason is that in dealing with wicked problems there are several more ways of refuting a hypothesis than there are permissible in the [e.g. physical] sciences.”
10. [With wicked problems,] the planner has no right to be wrong.

In “hard” science, the researcher is allowed to make hypotheses that are later refuted. Indeed, it is just such hypothesis generation that is a primary motive force behind scientific development (Ritchey, 1991). Thus one is not penalised for making hypothesis that turn out to be wrong. “In the world of … wicked problems no such immunity is tolerated. Here the aim is not to find the truth, but to improve some characteristic of the world where people live. Planners are liable for the consequences of the actions they generate …”

How, then, does one tackle wicked problems? Some 20 years after Rittel & Webber wrote their article, Jonathan Rosenhead (1996), of the London School of Economics, presented the following criteria for dealing with complex social planning problems – criteria that were clearly influenced by the ideas presented by Rittle, Webber and Ackoff.
Accommodate multiple alternative perspectives rather than prescribe single solutions
Function through group interaction and iteration rather than back office calculations
Generate ownership of the problem formulation through stakeholder participation and transparency

Facilitate a graphical (visual) representation of the problem space for the systematic, group exploration of a solution space
Focus on relationships between discrete alternatives rather than continuous variables
Concentrate on possibility rather than probability

The morphology grid is somewhat popular for mapping out these types of problems, figure out the “finite states”, the root variables that cause change, and then map them out in a grid format. Mark Proffitt’s Predictive Innovation does a good job of this:

Likewise, Lt. General Paul Van Riper mentions that the best leaders tend to be good at managing complex problems:

The Big Science and Technology Problems of the 21st Century

The big problems are mostly the same as in the 20th century and most of them stretch back much farther than that.


http://www.networkworld.com/community/blog/what-are-grand-technology-and-scientific-challenges-21st-century

In fact, X Prize last year it declared a top eight list of key challenges that could end up being public competitions in the coming months or years.  The eight concepts or challenges included:

1. Water (“Super ‘Brita’ Water Prize”) – Develop a technology to solve the world’s number one cause of death: Lack of safe drinking water:

2. Personal Health Monitoring System (“OnStar for the Body Prize”) – Develop and demonstrate a system which continuously monitors an individual’s personal health-related data leading to early detection of disease or illness.

3. Energy & Water from Waste – Create and demonstrate a technology that generates off-grid water and energy for a small village derived from human and organic waste.

4. Around the World Ocean Survey – Create an autonomous underwater vehicle that can circumnavigate the world’s oceans, gathering data each step of the way.

5. Transforming Parentless Youth – Dramatically and positively change the outcome for significantly at risk foster children, reducing the number of incarcerations and unemployment rate by fifty-percent or more.

6. Brain-Computer Interface (“Mind over Matter”) – Enable high function, minimally invasive brain to computer interfaces that can turn thought into action.

7. Wireless Power Transmission – Wireless transmission of electricity over distances greater than 200 miles while losing less than two percent of the electricity during the transmission.

8. Ultra-Fast Point-To-Point Travel – Design and fly the world’s fastest point-to-point passenger travel system

#1 is probably done. Though it’s possible to create solutions at different scales of production.

#2 is going to be interesting as hackers will add functions to their sensors, and malicious ones will disrupt other peoples sensors for fun and profit.

I’ve heard of many implentations of #3, so it’s going to come down to what is most economical.

#4 is probably done, though a more robust version that can go deeper will be required to really satisfy the spirit of the goal.

#5 is quite difficult considering everything in our economy is forcing more people to be unemployed in the traditional sense. This is a judo problem, you can’t fix it within the normal means.

On #6, I’ve seen some simple EEG style sensors that can be integrated into games, but for the most part Brain-Machine interfaces are Sci-Fi. It’s easier to run prosthetics off of nerve impulses coming through limbs rather by sensing brainwaves without implants. So it’s going to take awhile to crack that problem. 3d interfaces are hitting the market now, both in VR headsets and 3d intractable  xbox kinect sensors:

The skeleton drawing system the kinect sensors use is software-based and can be modified, but other companies have already launched “improved” sensors that can be used on their own for 3d interaction.

#7 is interesting and we’ll have to see what is the most economical way of tackling it.

#8 needs to factor in safety, otherwise it won’t be widely used.

Some of the NRC’s problems are less thrilling, the benefits aren’t as clear to the man on the street, and it sort of reads like a list of “stuff we were going to do anyway, but we made a report for it”:

From the National Research Council report, the five challenges are:

1. How can the U.S. optics and photonics community invent technologies for the next factor of-100 cost-effective capacity increases in optical networks?

2. How can the U.S. optics and photonics community develop a seamless integration of photonics and electronics components as a mainstream platform for low-cost fabrication and packaging of systems on a chip for communications, sensing, medical, energy, and defense applications?

3. How can the U.S. military develop the required optical technologies to support platforms capable of wide-area surveillance, object identification and improved image resolution, high-bandwidth free-space communication, laser strike, and defense against missiles?

4. How can U.S. energy stakeholders achieve cost parity across the nation’s electric grid for solar power versus new fossil-fuel-powered electric plants by the year 2020?

5. How can the U.S. optics and photonics community develop optical sources and imaging tools to support an order of magnitude or more of increased resolution in manufacturing?

More interestingly, there is no way these questions can cover the whole of desires and needs that technology must fill for the 21st century. What are they missing?

Automated Hydroponics Garden With Arduino

Arduino is useful because it adds the ability to interact with the real world with technology in a very flexible way. If anyone thinks technology hasn’t brought practical gains to everyday life, they need to check it out.

To see what others have built with Arduino check out this page:


http://www.instructables.com/tag/?sort=none&q=arduino&limit:type:id=on

A few tutorial websites:

http://www.arduino.cc/en/Tutorial/HomePage

http://www.ladyada.net/learn/arduino/


http://www.arduinotutorials.com/

Open Source Intelligence Analysis – We NSA Now

Working Thoughts:

1. Wikileaks can act as a secondary database. What we’ve seen so far makes it clear that most of the classified material is common knowledge but it could be useful.
2. Robert Steele is right that the humanitarian goodwill approach is superior. We’ve spent a lot of money in Afghanistan, but most of it was spent in unpopulated areas that were safe, the people who needed it didn’t get it. Lots of corruption. A tighter approach could be made.
3. Fiverr and penpal sites can also be useful for general cultural understanding or simple local tasks, e.g. : 
http://fiverr.com/worryfustion/help-you-learn-about-the-ethnic-groups-in-vietnam


http://fiverr.com/vann97/answer-10-questions-in-great-details-about-vietnam

4. Nearly all current prediction markets operate as zero-sum or negative-sum markets.


More OSINT Links:

“Dradis is a self-contained web application that provides a centralised repository of information to keep track of what has been done so far, and what is still ahead.”


http://dradisframework.org/

Links for OSINT (Open Source Intelligence) by Randolph Hock

http://www.onstrat.com/osint/

City Data:

http://www.city-data.com/

Public Records:

http://publicrecords.onlinesearches.com/

Name/Location Search Engine:

https://pipl.com/

“creepy is an application that allows you to gather geolocation related information about users from social networking platforms and image hosting services. The information is presented in a map inside the application where all the retrieved data is shown accompanied with relevant information (i.e. what was posted from that specific location) to provide context to the presentation.”

http://ilektrojohn.github.com/creepy/

Here is a recent example that uses the Palantir platform and OSINT:

Less than four months ago, the Southern portion of Sudan seceded and formed South Sudan, only the 5th country to be created this century. In this session, we will demonstrate how Palantir can draw from a plethora of Open Source Intelligence (OSINT) data sources (including academic research, blogs, news media, NGO reports and United Nations studies) to rapidly construct an understanding of the conflict underlying this somewhat anomalous 21st Century event. Using a suite of Palantir Helpers developed for OSINT analysis, the video performs relational, temporal, statistical, geospatial, and social network analysis of over a dozen open sources of data.

See also:

Detecting Emergent Conflicts through Web Mining and Visualization


https://www.recordedfuture.com/assets/Detecting-Emergent-Conflicts-through-Web-Mining-and-Visualization.pdf

&

Maltego


http://www.paterva.com/web6/

Open Source Intelligence Analysis – Palantir Does Indeed Kick Ass

Messing around with the Palantir Government suite right now. You can get an account and mess around with it here:


https://analyzethe.us/

You have the ability to import/export data, filter access, set up collaborative teams and access to the open archives of the US Gov and some non profits. There are two tiers of users, novice users and power users:

Workspace Operations
Restrictions for Novice Users
Importing data

Novice users can only import data that is correctly mapped to the deployment ontology. Power users are exempt from this restriction.

The maximum number of rows in structured data sources that a Novice user can imported at one time is restricted by the NOVICE_IMPORT_STRUCTURED_MAX_ROWS system property. The default value for this property is 1000.

The maximum size of unstructured data sources that can be imported by a Novice user at one time is restricted by the NOVICE_IMPORT_UNSTRUCTURED_MAX_SIZE_IN_MB system property. The default value for this property is 5 megabytes.
Tagging text

The maximum number of tags that a Novice user can create using the Find and Tag helper is restricted by the system property NOVICE_FIND_AND_TAG_MAX_TAGS. The default setting for this property is 50.

Novice users cannot access the Tag All Occurrences in Tab option in the Browser’s Tag As dialog.
SearchAround search templates

Novice users cannot import SearchAround Templates from XML files.

Novice users cannot publish SearchAround templates for use by the entire deployment, and cannot edit published templates.
All other SearchAround features remain available.
Resolving Nexus Peering data conflicts
The Pending Changes application is available only in the Palantir Enterprise Platform, and is only accessible to Workspace users who belong to the Nexus Peering Data Managers user group.
Nexus Peering Data Managers use the Pending Changes application to check for, analyze, and resolve data conflicts that are not automatically resolved when a local nexus is synchronized with a peered nexus.
Deleting objects

Novice users cannot delete published objects.

Novice users cannot delete objects created or changed by other users.
Resolving objects

The maximum number of objects that Novice users can resolve together at one time is restricted by the NOVICE_RESOLVE_MAX_OBJECTS system property. This restriction does not apply to objects resolved by using existing object resolution suites in the Object Resolution Wizard or during data import.

Novice users may use the Object Resolution Wizard only when using existing object resolution suites. Novice users cannot perform Manual Object Resolution, and cannot record new resolution criteria as an Object Resolution Suite.
To learn more, see Resolving and Unresolving Objects in Workspace: Beyond the Basics.
Map application restrictions
All map metadata tools in the Layers helper are restricted.
Novice users cannot access features that allow sorting of layers by metadata, coloring by metadata, or the creation of new metadata. All other Layer helper functions remain available.

In case you didn’t get what I just said, you have access the same tools the FBI and CIA use, except some minor limitations and no access to classified documents. If you have access to Wolfram Alpha/Mathematica and can google for history on your topic of interest then most of the classified files will become redundant.

What about data mining on a budget?

Consider relying on a GPU(s). A CPU is designed to be multitasker that can quickly switch between actions, whereas a Graphical Processing Unit(GPU) is designed to do the same calculations repetitively while giving large increases in performance. The stacks in the listed papers, while giving exponentially higher speeds, did not use modern designs or graphics cards, which hindered them from running even faster.


http://www.azintablog.com/2010/10/16/gpu-large-scale-data-mining/

The GPU (Graphics Prossessing Unit) is changing the face of large scale data mining by significantly speeding up the processing of data mining algorithms. For example, using the K-Means clustering algorithm, the GPU-accelerated version was found to be 200x-400x faster than the popular benchmark program MimeBench running on a single core CPU, and 6x-12x faster than a highly optimised CPU-only version running on an 8 core CPU workstation.

These GPU-accelerated performance results also hold for large data sets. For example in 2009 data set with 1 billion 2-dimensional data points and 1,000 clusters, the GPU-accelerated K-Means algorithm took 26 minutes (using a GTX 280 GPU with 240 cores) whilst the CPU-only version running on a single-core CPU workstation, using MimeBench, took close to 6 days (see research paper “Clustering Billions of Data Points using GPUs” by Ren Wu, and Bin Zhang, HP Laboratories). Substantial additional speed-ups are expected were the tests conducted today on the latest Fermi GPUs with 480 cores and 1 TFLOPS performance.

Over the last two years hundreds of research papers have been published, all confirming the substantial improvement in data mining that the GPU delivers. I will identify a further 7 data mining algorithms where substantial GPU acceleration have been achieved in the hope that it will stimulate your interest to start using GPUs to accelerate your data mining projects:

Hidden Markov Models (HMM) have many data mining applications such as financial economics, computational biology, addressing the challenges of financial time series modelling (non-stationary and non-linearity), analysing network intrusion logs, etc. Using parallel HMM algorithms designed for the GPU, researchers (see cuHMM: a CUDA Implementation of Hidden Markov Model Training and Classification by Chaun Lin, May 2009) were able to achieve performance speedup of up to 800x on a GPU compared with the time taken on a single-core CPU workstation.

Sorting is a very important part of many data mining application. Last month Duane Merrill and Andrew Grinshaw (from University of Virginia) reported achieving a very fast implementation of the radix sorting method and was able to exceed 1G keys/sec average sort rate on an the GTX480 (NVidia Fermi GPU). See
http://goo.gl/wpra

Density-based Clustering is an important paradigm in clustering since typically it is noise and outlier robust and very good at searching for clusters of arbitrary shape in metric and vector spaces. Tests have shown that the GPU speed-up ranged from 3.5x for 30k points to almost 15x for 2 million data points. A guaranteed GPU speedup factor of at least 10x was obtained on data sets consisting of more than 250k points. (See “Density-based Clustering using Graphics Processors” by Christian Bohm et al).

Similarity Join is an important building block for similarity search and data mining algorithms. Researchers using a special algorithm called Index-supported similarity join for the GPU to outperform the CPU by a factor of 15.9x on 180 Mbytes of data (See “Index-supported Similarity Join on Graphics Processors” by Christian Bohm et al).

Bayesian Mixture Models has applications in many areas and of particular interest is the Bayesian analysis of structured massive multivariate mixtures with large data sets. Recent research work (see “Understanding the GPU Programming for Statistical Computation: Studies in Massively Massive Mixtures” by Marc Suchard et al.) has demonstrated that an old generation GPU (GeForce GTX285 with 240 cores) was able to achieve a 120x speed-up over a quad-core CPU version.

Support Vector Machines (SVM) has many diverse data mining uses including classification and regression analysis. Training SVM and using them for classification remains computationally intensive. The GPU version of a SVM algorithm was found to be 43x-104x faster than SVM CPU version for building classification models and 112x-212x faster over SVM CPU version for building regression models. See “GPU Accelerated Support Vector Machines for Mining High-Throughput Screening Data” by Quan Liao, Jibo Wang, et al.

Kernel Machines. Algorithms based on kernel methods play a central part in data mining including modern machine learning and non-parametric statistics. Central to these algorithms are a number of linear operations on matrices of kernel functions which take as arguments the training and testing data. Recent work (See “GPUML: Graphical processes for speeding up kernel machines” by Balaji Srinivasan et al. 2009) involves transforming these Kernel Machines into parallel kernel algorithms on a GPU and the following are two example where considerable speed-ups were achieved; (1) To estimate the densities of 10,000 data points on 10,000 samples. The CPU implementation took 16 seconds whilst the GPU implementation took 13ms which is a significant speed-up will in excess of 1,230x; (2) In a Gaussian process regression, for regression 8 dimensional data the GPU took 2 seconds to make predictions whist the CPU version took hours to make the same prediction which again is a significant speed-up over the CPU version.

If you want to use the GPUs but you do not want to get your hands “dirty” writing CUDA C/C++ code (or other languages bindings such as Python, Java, .NET, Fortran, Perl, or Lau) then consider using MATLAB Parallel Computing Toolbox. This is a powerful solution for those who know MATLAB. Alternatively R now has GPU plugins. A subsequent post will cover using MATLAB and R for GPU accelerated data mining.

These are space whales flying through the sun:

Open Source Intelligence Analysis – Software, Methods, Resources


http://www.kurzweilai.net/intelligence-agencies-turn-to-crowdsourcing

Research firm Applied Research Associates has just launched a website, Global Crowd Intelligence, that invites the public to sign up and try their hand at intelligence forecasting, BBC Future reports.

The website is part of an effort called Aggregative Contingent Estimation, sponsored by the Intelligence Advanced Research Projects Activity (Iarpa), to understand the potential benefits of crowdsourcing for predicting future events by making forecasting more like a game of spy versus spy.

The new website rewards players who successfully forecast future events by giving them privileged access to certain “missions,” and also allowing them to collect reputation points, which can then be used for online bragging rights. When contributors enter the new site, they start off as junior analysts, but eventually progress to higher levels, allowing them to work on privileged missions.

The idea of crowdsourcing geopolitical forecasting is increasing in popularity, and not just for spies.  Wikistrat, a private company touted as “the world’s first massively multiplayer online consultancy,” was founded in 2002, and is using crowdsourcing to generate scenarios about future geopolitical events. It recently released a report based on a crowdsourced simulation looking at China’s future naval powers.

Warnaar says that Wikistrat’s approach appears to rely on developing “what-if scenarios,” rather than attaching a probability to a specific event happening, which is the goal of the Iarpa project.

Paul Fernhout put together a good open letter awhile back on the need for this, it seems IARPA has put some effort forward for this purpose:

http://www.phibetaiota.net/2011/09/paul-fernhout-open-letter-to-the-intelligence-advanced-programs-research-agency-iarpa/

A first step towards that could be for IARPA to support better free software tools for “crowdsourced” public intelligence work involving using a social semantic desktop for sensemaking about open source data and building related open public action plans from that data to make local communities healthier, happier, more intrinsically secure, and also more mutually secure. Secure, healthy, prosperous, and happy local (and virtual) communities then can form together a secure, healthy, prosperous, and happy nation and planet in a non-ironic way. Details on that idea are publicly posted by me here in the form of a Proposal Abstract to the IARPA Incisive Analysis solicitation: “Social Semantic Desktop for Sensemaking on Threats and Opportunities”

So what kind of tools can an amateur use for making sense of data?

Data Mining and ACH

Here is a basic implementation of ACH:


http://competinghypotheses.org/

Analysis of Competing Hypotheses (ACH) is a simple model for how to think about a complex problem when the available information is incomplete or ambiguous, as typically happens in intelligence analysis. The software downloadable here takes an analyst through a process for making a well-reasoned, analytical judgment. It is particularly useful for issues that require careful weighing of alternative explanations of what has happened, is happening, or is likely to happen in the future. It helps the analyst overcome, or at least minimize, some of the cognitive limitations that make prescient intelligence analysis so difficult. ACH is grounded in basic insights from cognitive psychology, decision analysis, and the scientific method. It helps analysts protect themselves from avoidable error, and improves their chances of making a correct judgment.

http://www2.parc.com/istl/projects/ach/ach.html

RapidMiner – About 6% of data miners use it – Can use R as an extension with a GUI

http://rapid-i.com/content/view/281/225/

R – 46% of data miners use this – in some ways better than commercial software – I’m not sure what the limit of this software is, incredibly powerful

http://www.r-project.org/

Network Mapping

Multiple tools – Finding sets of key players in a network – Cultural domain analysis – Network visualization – Software for analyzing ego-network data – Software package for visualizing social networks

http://www.analytictech.com/products.htm

NodeXL is a free, open-source template for Microsoft® Excel® 2007 and 2010 that makes it easy to explore network graphs. With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window.

http://nodexl.codeplex.com/

Stanford Network Analysis Platform (SNAP) is a general purpose, high performance system for analysis and manipulation of large networks. Graphs consists of nodes and directed/undirected/multiple edges between the graph nodes. Networks are graphs with data on nodes and/or edges of the network.

http://snap.stanford.edu/snap/index.html

*ORA is a dynamic meta-network assessment and analysis tool developed by CASOS at Carnegie Mellon. It contains hundreds of social network, dynamic network metrics, trail metrics, procedures for grouping nodes, identifying local patterns, comparing and contrasting networks, groups, and individuals from a dynamic meta-network perspective. *ORA has been used to examine how networks change through space and time, contains procedures for moving back and forth between trail data (e.g. who was where when) and network data (who is connected to whom, who is connected to where …), and has a variety of geo-spatial network metrics, and change detection techniques. *ORA can handle multi-mode, multi-plex, multi-level networks. It can identify key players, groups and vulnerabilities, model network changes over time, and perform COA analysis. It has been tested with large networks (106 nodes per 5 entity classes).Distance based, algorithmic, and statistical procedures for comparing and contrasting networks are part of this toolkit.

http://www.casos.cs.cmu.edu/projects/ora/

NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

http://networkx.lanl.gov/

Social Networks Visualizer (SocNetV) is a flexible and user-friendly tool for the analysis and visualization of Social Networks. It lets you construct networks (mathematical graphs) with a few clicks on a virtual canvas or load networks of various formats (GraphViz, GraphML, Adjacency, Pajek, UCINET, etc) and modify them to suit your needs. SocNetV also offers a built-in web crawler, allowing you to automatically create networks from all links found in a given initial URL.

http://socnetv.sourceforge.net/

SUBDUE is a graph-based knowledge discovery system that finds structural, relational patterns in data representing entities and relationships. SUBDUE represents data using a labeled, directed graph in which entities are represented by labeled vertices or subgraphs, and relationships are represented by labeled edges between the entities. SUBDUE uses the minimum description length (MDL) principle to identify patterns that minimize the number of bits needed to describe the input graph after being compressed by the pattern. SUBDUE can perform several learning tasks, including unsupervised learning, supervised learning, clustering and graph grammar learning. SUBDUE has been successfully applied in a number of areas, including bioinformatics, web structure mining, counter-terrorism, social network analysis, aviation and geology.

http://ailab.wsu.edu/subdue/

A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, p* modeling, random graph generation, and 2D/3D network visualization.(R based)
http://cran.us.r-project.org/web/packag … index.html

statnet is a suite of software packages for network analysis that implement recent advances in the statistical modeling of networks. The analytic framework is based on Exponential family Random Graph Models (ergm). statnet provides a comprehensive framework for ergm-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. This broad functionality is powered by a central Markov chain Monte Carlo (MCMC) algorithm. (Requires R)

http://statnetproject.org/

Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.

http://tulip.labri.fr/TulipDrupal/

GraphChi is a spin-off of the GraphLab ( 
http://www.graphlab.org
 ) -project from the Carnegie Mellon University. It is based on research by Aapo Kyrola (
http://www.cs.cmu.edu/~akyrola/
) and his advisors.

GraphChi can run very large graph computations on just a single machine, by using a novel algorithm for processing the graph from disk (SSD or hard drive). Programs for GraphChi are written in the vertex-centric model, proposed by GraphLab and Google’s Pregel. GraphChi runs vertex-centric programs asynchronously (i.e changes written to edges are immediately visible to subsequent computation), and in parallel. GraphChi also supports streaming graph updates and removal of edges from the graph. Section ‘Performance’ contains some examples of applications implemented for GraphChi and their running times on GraphChi.

The promise of GraphChi is to bring web-scale graph computation, such as analysis of social networks, available to anyone with a modern laptop. It saves you from the hassle and costs of working with a distributed cluster or cloud services. We find it much easier to debug applications on a single computer than trying to understand how a distributed algorithm is executed.

In some cases GraphChi can solve bigger problems in reasonable time than many other available distributed frameworks. GraphChi also runs efficiently on servers with plenty of memory, and can use multiple disks in parallel by striping the data.

https://code.google.com/p/graphchi/

Web Based Stuff:

Play amateur Gestapo from the comfort of your living room:

http://littlesis.org/


http://theyrule.net/

Search Professionals by Name, Company or Title, painfully verbose compared to the above 2 tools

http://www.marketvisual.com/

Broad list of search engines


http://en.wikipedia.org/wiki/List_of_search_engines

&


http://www.wired.com/business/2009/06/coolsearchengines/

A tool that uses Palantir Government:

https://analyzethe.us

connected with the following datasets:

http://www.usaspending.gov


http://www.data.gov/


http://www.opensecrets.org/


https://www.epls.gov/

and some misc. others

Database Listings


http://www.forecastingprinciples.com/index.php?option=com_content&view=article&id=8&Itemid=18


http://www.datawrangling.com/some-datasets-available-on-the-web


http://datamarket.com/

Analytic Methods:

THIS BLOG IS PART OF CLASS PROJECT TO EXPLORE VARIOUS ANALYTIC TECHNIQUES USED BY MODERN INTELLIGENCE ANALYSTS (DELICIOUS ALL CAPS)

http://advat.blogspot.co.uk/

Morphological Analysis – A general method for non-quantified modeling

http://www.swemorph.com/pdf/gma.pdf

Modeling Complex Socio-Technical Systems using Morphological Analysis

http://www.swemorph.com/pdf/it-webart.pdf

CIA Tradecraft Manual


https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/Tradecraft%20Primer-apr09.pdf

Top 5 Intelligence Analysis Methods: Analysis Of Competing Hypotheses

http://sourcesandmethods.blogspot.com/2008/12/top-5-intelligence-analysis-methods_19.html

(the author scores a 4.4 of 5 on 
http://www.ratemyprofessors.com/ShowRatings.jsp?tid=545372
 , 2.4 on the easiness scale)

http://en.wikipedia.org/wiki/Intelligence_analysis#Analytic_tradecraft

Many new analysts find that getting started is the hardest part of their job. Stating the objective, from the consumer’s standpoint, is an excellent starting point. If the analyst cannot define the consumer and his needs, how is it possible to provide analysis that complements what the consumer already knows.

“Ambassador Robert D. Blackwill … seized the attention of the class of some 30 [intelligence community managers] by asserting that as a policy official he never read … analytic papers. Why? “Because they were nonadhesive.” As Blackwill explained, they were written by people who did not know what he was trying to do and, so, could not help him get it done:
“When I was working at State on European affairs, for example, on certain issues I was the Secretary of State. DI analysts did not know that–that I was one of a handful of key decision makers on some very important matters….”

More charitably, he now characterizes his early periods of service at the NSC Staff and in State Department bureaus as ones of “mutual ignorance”

“DI analysts did not have the foggiest notion of what I did; and I did not have a clue as to what they could or should do.”[6]
Blackwill explained how he used his time efficiently, which rarely involved reading general CIA reports. “I read a lot. Much of it was press. You have to know how issues are coming across politically to get your job done. Also, cables from overseas for preparing agendas for meetings and sending and receiving messages from my counterparts in foreign governments. Countless versions of policy drafts from those competing for the President’s blessing. And dozens of phone calls. Many are a waste of time but have to be answered, again, for policy and political reasons.

“One more minute, please, on what I did not find useful. This is important. My job description called for me to help prepare the President for making policy decisions, including at meetings with foreign counterparts and other officials…. Do you think that after I have spent long weeks shaping the agenda, I have to be told a day or two before the German foreign minister visits Washington why he is coming?”

Replying To John Robb on Drones, Self-Driving Cars

John’s post:

I spent some time on the phone with a reporter from Inc. Magazine last week.  We were discussing the future of entepreneurship and where new opportunity could be found.

He asked me about drones and if there were opportunities for entrepreneurs there.

I told him that there were only two places where drones were going to gain traction:

  • Security.   From military operations to intelligence gathering to police surveillance.
  • DiY.   People building their own drones and finding interesting ways to use them.

That’s it.

Why?

All of the other uses of drones are closed off due to legal restrictions:

  • Drones for passenger transport.  It’s pretty clear that drones could be used to transport passengers safely and at much less cost than a manned aircraft.  It won’t happen.  Too many legal implications and push back from unions.
  • Drones for private info gathering.  Currently prevented.  There’s going to be legal wrangling over this for decades, which will prevent an industry from forming (other than “security” related).
  • Drones for short haul delivery/transport.  Too difficult to overcome the legal ramifications of operating drones on a mass scale near to homes/buildings.  It will definitely be used in the military.

Much of same logic is going to be applied to other forms of autonomous robotics.  For example: robots can drive a car better than a human being.  Google proved that already with their mapping car.  Will it be common to see “automated” cars in the next decade.  Probably not.  The first person killed by one will kill the industry through lawfare. Link

My response:

I doubt it John. I think you have over-weighted the power of lawsuits versus innovation.

Usually when there are legal blockages to technology, it holds the technology back for a short time until it finds a way around it. See the transition from embryonic stem cells to skin stem cells.

For cars in particular, people want safety in their cars much more than energy efficiency. That’s part of the reason SUV’s have outsold the economy car designs, most of the models are much more secure, barring the extremely large ones that are vulnerable to tipping over.

Recently smaller SUVs that combine the two attributes have become the most popular design. The demand for safety in automobiles has always been extreme, and in the case of the Google car Sebastian Thrun has been extremely careful in making sure the cars don’t have any accidents even in testing.

People put more trust into tech companies like Google than they do the legal system or congress, by a wide margin:

http://www.edelman.com/news/trust-in-government-suffers-a-severe-breakdown-across-the-globe/

Nevada has already legalized self driving cars, California is following.

So you assume that:
1. People’s desire for safety in consumer choices will be outweighed by their desire for control
2. There is no judo move to counter regulations, as there has been for many past technologies
3. That current friendly regulations are a smoke-screen for a coming crackdown
4. That people won’t trust the Google brand in particular in the case of the car
5. That a small number of lawsuits can destabilize a potentially multi-billion dollar industry, in spite of there being a perfect safety record thus far

Adjustable Taser/Pepper Spray Riot Shield By Bernardo Bajana

This shield takes several different concepts and chunks them into one. It’s close to a poorman’s exoskeleton. Most officer’s have a significant strength advantage over the people that do the rioting but an additional exoskeleton could be attached to provide short bursts of anaerobic power in repelling crowds. The filament that is used on this shield can be used to turn nearly anything into a touch taser.

Link

What Marketing Simulations Haven’t Shown Me

Complex systems are built up by connecting diverse agents with interdependent relationships that change over time.

What all of the surveys, opinion polls, and other marketing data doesn’t tell us is the complex web of interactions that lead to a sale, or an individual forming an opinion. That’s the mistake – data from opinion polls measures current opinion when you need tomorrow’s concept. When you try to cross-correlate it, you are only looking at the output of multiple systems and mashing them together and expecting something meaningful. The key is to go back to the inputs, then move forward tracking the finite states of each agent inside of the system.

To put it another way, is a soccer mom going to buy an energy efficient car to save the environment, or a larger car that is obviously safer? Does anyone think that the majority of people, particularly women as they make the most purchase decisions now, would choose a car that obviously isn’t as safe for themselves and their family, including the children who ride along, just for the sake of an abstract concept of helping the environment? This is basic stuff from Drew Whitman’s Life Force 8. If you wish to map the future you have to move beyond the numbers into higher levels of abstraction while keeping in mind the nature of the agents and the connections between them. Add the finite effects of tools and resources on an agent’s environment and you have an idea of what could happen. And you don’t even need a computer to crunch the numbers.

The real fun begins when you can alter the simplest inputs of the agents.


http://www.usnews.com/news/articles/2012/05/21/suv-sales-continue-to-soar-despite-high-gas-prices

SUV sales have actually been growing in recent months, according to CNNMoney, from about one in five vehicles sold back in the 1990s and early 2000s, to almost a third of all vehicles sold today.

The vast majority of SUVs sold today are actually smaller, more diminutive versions of their ancestors, and have fuel economy that’s as good or better than many passenger cars on the road. For instance, the Chevrolet Equinox gets better combined city and highway mileage than some models of the Honda Accord.


http://www.fastcodesign.com/1663594/women-dominate-the-global-market-place-here-are-5-keys-to-reaching-them

Their economic power is truly revolutionary, representing the largest market opportunity in the world. Just look at the numbers: Women control 65 percent of global spending and more than 80 percent of U.S. spending. By 2014, the World Bank predicts that the global income of women will grow by more than $5 trillion. In both emerging markets and developed nations, women’s power of influence extends well beyond the traditional roles of family and education to government, business, and the environment.

Replying To Ion-Tom On Ideas for the Ultimate Strategy Game

He wrote a long post, but here is the beginning:

I want to see procedural content not just create the raw terrain maps, but thousands of tribes, nations and empires. I want it to generate language, culture, aesthetics, architecture, religion, scientific progress, humanity. I believe that many different game engines should connect to a single cloud data application in order to create persistent worlds. Strategy gaming should prepare for next generation graphics technology, neural network AI, and implement many different portals to access game information. Taking exponential trends into consideration, I want to see what a strategy game looks like when millions of semi-intelligent “agents” compete or collaborate for resources.

I’m talking about Guns, Germs and Steel in gaming form. It could answer questions about human settlement patterns. With different continental configurations, do certain types of regions always become colonial powers or is having many states in feudal competition becoming market powers all that is needed? Does this usually follow the parallel latitude crop theory? The game could have an arcade mode like the Civilization and an observer mode: set the stage and watch. Go back in time, change a few variables and watch the difference. Maybe I’m alone, but that type of concept excites me!

My response:

So one of the first thing’s that came to mind was Palantir’s software:

And taking their idea of reducing friction between human and computer to enhance human capabilities:
http://www.palantir.com/2010/03/friction-in-human-computer-symbiosis-kasparov-on-chess/

Also, here’s an overview of some of the older high-dollar ABM projects that were implemented in the past, mostly using JAVA: 
http://home.comcast.net/~dshartley3/DIMEPMESIIGroup/ModelingSimulation.htm

Combat will change over time like you said. One of the models being used in real life is generational, 1st to 4th generation warfare (see: John Robb, Global Guerrillas), with theoritical 5th generation warfare. So you would have to choose how realistic or metaphorical you would render that action. You know, if you had a civilization event where spearmen destroy a tank, or if you could zoom straight down and play 1st person as the spearman trying to exploit the terrain, things like that. Then you move into modern things like winning hearts and minds, then into the vague world of secrecy and influencing complex systems in 5GW.

Economics will change over time.

If you’re creating language, then you’re also creating the box within which people think to some degree, so that creates a feedback loop with culture. So you have a have to go a Systems Dynamics approach with stacks, flows and feedback loops, and possibly going much further because you have to extend the model so far out.

You will have to measure emotional reactions as well, but the question is how. Are you going to use the traditional valence and arousal model, to model how a given population is reacting to stimulus? I’m thinking back to OpenCog’s agent and it’s ability to become “scared”, or inquisitive because it uses an economic attention allocation model.

I don’t think Jared Diamond’s theory is going to cut it for explaining everything to the degree of simulating this world though from a historical perspective either. Diverse agents who are connected with interdependent relationships that adapt over time.

Bleh, that’s all I got right now.

Also, if you could do that, it might be realistic and immersive enough that people would pay you to test and develop it, like a subscription based MMORPG-ish thing.

See also: Game Mechanics: Advanced Game Design by Ernest Adams and Joris Dormans

It’s on amazon and “other” sites.

If you wanted to introduce more variety into the game, instead of following a fixed technology tree, perhaps it could implement different concepts of the singularity towards “end game”. You could shift currency over time, as processes become automated you would move from a coin based economy to a paper one, then from paper to digital currency, then possibly to currency based off of:

  1. Energy – This may or may not be relevant, on the one hand advanced solar panels and cells, combined with nuclear power makes energy abundant. It remains to be seen how much power future computing will eat up. Current power drain on large systems comes not only from the computer, but the costs of cooling. Intel has been working on low power mobile processors:
    http://newsroom.intel.com/community/intel_newsroom/blog/2012/09/11/intel-low-power-processors-to-fuel-future-of-mobile-computing-innovation
  2. Antimatter: 
    http://en.wikipedia.org/wiki/Antimatter#Cost
     Scientists claim that antimatter is the costliest material to make.[37] In 2006, Gerald Smith estimated $250 million could produce 10 milligrams of positrons[38] (equivalent to $25 billion per gram); in 1999, NASA gave a figure of $62.5 trillion per gram of antihydrogen.[37] This is because production is difficult (only very few antiprotons are produced in reactions in particle accelerators), and because there is higher demand for other uses of particle accelerators. According to CERN, it has cost a few hundred million Swiss Francs to produce about 1 billionth of a gram (the amount used so far for particle/antiparticle collisions).[39] Several NASA Institute for Advanced Concepts-funded studies are exploring whether it might be possible to use magnetic scoops to collect the antimatter that occurs naturally in the Van Allen belt of the Earth, and ultimately, the belts of gas giants, like Jupiter, hopefully at a lower cost per gram.[40]
  3. If computers take over most of the operations in a society, costs can be based off of CPU cycles

This raises the question of whether space exploration would be useful in this context. Bill Stone has an old but good TED talk on space exploration and his on-going work to journey to the moon and his plan to mine the fuel to return home from the moon itself: 

In the computers rule everything dynamic, Hugo de Garis has some interesting ideas on “Artilects”:
http://profhugodegaris.wordpress.com/artilect-polls/

One field no one mentions: Hardware security. Trying to beat computers through software is nice and all, but there are many hardware bugs, BIOS rootkits (technically software), using firewire to pass through security, USB sticks with malware and keyloggers (which can be built into a keyboard). Unless an AI/AGI has built in defense to make the hardware difficult to get at, to self destruct, or reprise against attackers, then they are a vulnerable target.

Eclipse Phase also has interesting implementations.

His reply:

I like everything about what you just said. I’m familiar with the Van Allen Belt antimatter and Hugo de Garis but I wasn’t familiar with Bill Stone, that’s pretty awesome! And the Adams-Dormans book looks awesome! Currently I’m reading this book my friend lent me. (Glad I didn’t have to pay for it!)

I am a big proponent of a genetic algorithm based tech tree that builds momentum towards a singularity end game. Not sure how it could be implemented at first. In an ideal world the engine is sufficiently advanced to model physics and the agents experiment with the physics engine. For the short term, I think breaking all technologies into their basic components based on physics would give a good “lego set” for building technologies. Each component could have a weight. Every time it gets used in a technology it gets a stronger weight. Etc. The momentum builds.

So you think hardware security makes AGI vulnerable? I suppose it’s an engineering question. Right now it’s vulnerable, but so were the worlds first single cell organisms. I’ll bet security increases over time as neuromorphic chips become more complex; maybe not though.

Replying To Nicholas Eftimiades On Intelligence at the Speed of Thought

The link to his original post is here:

For future national security needs, the most stressing intelligence requirements will be for remote-sensing systems to detect, track, cross-que, and characterize fleeting targets in real time. This ability will require a global network of sensors to detect and track individuals, vehicles, chemicals, materials, and emanations and a space network backbone to move data.  Pervasive CCTV systems now present worldwide in airports, border crossings, railroads, busses, and on the streets of many cities will be integrated and supported by powerful computers, smart software agents, vast facial pattern and retina recognition databases, and communications infrastructure. These systems will be integrated with sensors and databases detecting, identifying, and characterizing spectral signatures, chemical compositions, DNA, effluents, sounds, and much more.

My Response:

There’s an interesting piece of open source software called Eureqa that can search for hidden mathematical equations in data. It’s amazing how quickly supervised and unsupervised learning algorithms along with gesture recognition are developing.

Over time we’ll develop better long-range sensors to detect emotional valence and arousal, so we can judge the details of a persons emotional state and correlate it with the rest of the data. Thermal and hyperspectral imaging can be used to judge the bloodflow to an area like the face, indicating stress. We have simple things, EPS and heartbeat sensors, eye tracking software, but it’s developing over time. Simple Microsoft Kinect sensors just build a simple stick-figure skeleton, but newer sensors are being developed that have more potential. This input will likely improve agent based modeling software as we will be able to have actual emotions as inputs.

Satellite launch costs are going down and NASA is turning LEO over to the private sector, so we can expect an increase in space-based sensors and services. That might lead to better climate detection models and therefore better advanced hurricane/tornado warning times.

It also applies to AGI research, much of the data we learn from comes in from vision among other senses. So from the perspective of building an AGI, adding more sensors means it can get smarter in much faster and in entirely new ways. When you talk about integrating that level of sensory information and processing it, you end up with intelligence that makes the differences between an Einstein and a village idiot seem as tiny as a grain of sand.

We can already load sounds into programs like Wolfram Mathematica and analyze them, extract data and then plot, graph or connect the data in hundreds of other ways. I’m not as familiar with MatLab but I know it has a wide range of functions too.

Right now the main concern is reducing interface friction so humans and machines can work together properly, but every year more functions are being added to the software and more data is being captured. Eventually we’re going to need a significant step up in intelligence to be able to work with it.

Thinking more on it, the alternative may be that things will get easier to use.

Programming languages have become somewhat simpler over time, as compilers catch up with being able to handle memory as good or better than humans going into things at the C/C++ level won’t be required, as long as there aren’t incompatibility issues. GUI’s have gotten better over the years as well.

I wonder how humans will choose to control access and connections between their AI/AGI programs as time goes on. The newer generation isn’t as concerned about privacy and are willing to give out tons of data on twitter and facebook.

Another area that’s still very empty: implant security. Most of these things can pick up wireless signals now, hackers have already figured out ways to mess with pacemakers and the like. Ditto for self-driving cars, we’ve already had guys hacking GPS’s to make them give false data. We’re going to have attack v. defense issues, security versus accessibility, the works.

(Technical note: Kinect skeleton drawing is done with the software, but improvements to hardware will effect it’s capabilities)

His response:

I agree with most of what you wrote but I don’t think lowering launch is going to lead to better climate detection models. Those space based sensors are excellent now. That is more a function of computing power and airborne/ground based sensors. And an increase in space-based sensors and services is going to be more a function of electronics miniaturization allowing more capability in orbit for the same launch price. But I agree launch costs will come down as well.

Also, Thermal and hyperspectral imaging can be used to judge the bloodflow to an area like the face but it is only useful if you have the spectral signature of that specific face at rest and under stress. Either that, or you have continuous monitoring and can watch the blood flows go up and down.

Implant security is an areas of concern. A UK college professor recently demonstrated infecting numerous devices with an imbedded bio chip.

Cool discussion.

Quantum Computing Power Rising Exponentially

Quantum computing essentially makes all of our current encryption standards useless. Researchers have long been discussing whether Artificial General Intelligence will require quantum computers, but by the time AGI stuff filters into the general public it will likely run on a quantum machine by default. The biggest gains will come from integrating this with sensor nets, which will act as the eyes and ears for our computer systems in the physical world which will be coupled with supervised and unsupervised learning algorithms instead of a reliance on making advances in software by programming alone. Machines are already able to infer mathematical patterns from data and design their own experiments.

Right now quantum computing is being used for large scale projects, by companies like Lockheed:

http://www.kurzweilai.net/lockheed-martin-buys-first-d-wave-quantum-computing-system

Lockheed Martin Corporation has agreed to purchase the first D-Wave One quantum computing system from D-Wave Systems Inc., according to D-Wave spokesperson Ann Gibbon.

Lockheed Martin plans to use this “quantum annealing processor” for some of Lockheed Martin’s “most challenging computation problems,” according to a D-Wave statement.

D-Wave computing systems address combinatorial optimization problems.that are “hard for traditional methods to solve in a cost-effective amount of time.”

These include software verification and validation, financial risk analysis, affinity mapping and sentiment analysis, object recognition in images, medical imaging classification, compressed sensing, and bioinformatics.

Or to work on infamously difficult problems in academia, like protein folding:


http://nextbigfuture.com/2012/08/dwave-adiabatic-quantum-computer-used.html

A team of Harvard University researchers, led by Professor Alan Aspuru-Guzik, have used Dwave’s adiabatic quantum computer to solve a protein folding problem. The researchers ran instances of a lattice protein folding model, known as the Miyazawa-Jernigan model, on a D-Wave One quantum computer.

The research used 81 qubits and got the correct answer 13 times out of 10,000. However these kinds of problems usually have simple verification to determine the quality of the answer. So it cut down the search space from a huge number to 10,000. Dwave has been working on a 512 qubit chip for the last 10 months. The adiabatic chip does not have predetermined speed up amounts based on more qubits and depends upon what is being solved but in general the larger number of qubits will translate into better speed and larger problems that can be solved. I interviewed the CTO of Dwave Systems (Geordie Rose back in Dec, 2011). Usually the system is not yet faster than regular supercomputers (and often not faster than a desktop computer) for the 128 qubit chip but could be for some problems with the 512 qubit chip and should definitely be faster for many problems with an anticipated 2048 qubit chip. However, the Dwave system can run other kinds of algorithms and solutions which can do things that regular computers cannot. The system was used by Google to train image recognition systems to remove outliers in an automated way.

However it’s likely that in 5-10 years, as a conservative estimate, it will move into the consumer marketplace.

http://www.eetimes.com/electronics-news/4395205/Researchers-move-quantum-computing-to-silicon

LONDON – Quantum computing has been brought a step closer to mass production by a research team led by scientists from the University of Bristol that has made a transition from using glass to silicon.

The Bristol team has been demonstrating quantum photonic effects in glass waveguides for a number of years but the use of a silicon chip to demonstrate photonic quantum mechanical effects such as superposition and entanglement, has the advantage of being a match to contemporary high volume manufacturing methods, the team claimed.

This could allow the creation of hybrid circuits that mix conventional electronic and photonic circuitry with a quantum circuit for applications such as secure communications.

edit: Here is a comment from a PhD candidate in Physics:


http://www.quora.com/Computer-Security/Can-D-Waves-quantum-computer-decrypt-traditional-crypto-systems

Wave’s quantum computer is an adiabatic quantum computer designed to solve optimization problems, not perform universal computations. It’s architecture is not compatible with running algorithms based on the circuit model, which include all the fabled cryptography beating algorithms based on fast factoring (Shor’s algorithm).

In any case, as Michael points out, 128 qubits is certainly not enough to decrypt traditional cryptosystem and there is some dispute about exactly how “quantum” their computer really is, although their Nature paper has alleviated some of these concerns. At this point, D-Wave’s computer is more relevant as a proof of principle than as an actual computational device. Lockheed Martin probably bought theirs to insure they will be on the ground floor if this thing takes off.

Replying to Iskandaar on Iranian Wargames

First the original post:

A war game organized by Kenneth Pollack of the Brookings Institute’s Saban Center for Middle East Policy was conducted to examine the reactions of both the United States and Iran during escalated events concerning Iran’s nuclear program and the United States’ reactions to attacks by Iran, as reported by David Ignatius of the Washington Post.

Lessons from an Iranian war game

Of interest, and what Mr Ignatius pointed out is that

“The game showed how easy it was for each side to misread the other’s
signals. And these players were separated by a mere corridor in a
Washington think tank, rather than half a world away.

This highlights one of the greatest problems we currently face in dealing with not only Iran, but other countries within the Middle East and Asia: A mere vague grasp on how our perceptions and personal biases can distort the intentions and actions of state actors. While we usually tend to embrace the idea of cultural awareness on a superficial level, this game highlights (in some what exaggerated terms) the inability for hypothetical leaders to interpret actions of our opponents correctly.

These “small miscalculations” ended a scenario in a likely war outcome, which could have been avoided had more diplomatic interactions possibly occurred. It begs to question then how much political face leaders in the US would attempt to preserve in a real world situation like this, and attempt to publicly retaliate against Iran, versus attempting to identify the problem and tackle it in diplomatic channels.

There needs to be more scenarios like this, more dry runs, more rehearsals, not only with actual government participants, but with other countries as well. This scenario provided an in depth lesson, one that could be used to prevent us from making rash and damaging decisions in a real world scenario.

Later he replied to one of my comments and posed this question:
What we determined in hindsight to the 9-11 attacks as far as the intel community (NPR did a great piece on this) was the inability for our analysts at various levels to effectively use critical thinking for problem solving of various problems. For example, analysts were effectively good at recieving raw data and turning out products, but looking at long range and various order of effects that the data had on the bigger picture were completely lost to a majority of them.I believe that scenarios and training like this stimulates them, helps figure out where the fault lies, and will allow us to approach problem sets with a larger mind set. Thoughts?
This is my reply:

Team size and total time spent working directly effect people on the bottom and mid-level’s ability to do good analysis and synthesis. Big picture thinking is difficult when operating under long hours, or in large groups where information becomes simplified and groupthink takes hold to keep everyone on the same page.

http://lunar.lostgarden.com/Rules%20of%20Productivity.pdf

I definitely agree that these scenarios are what’s needed, good exercises shouldn’t have all of the data explicitly mentioned, or sometimes even implicitly included in their outline.

Instead of solving for X, they are forced to try to make sense of relationships between things that change over time and require exploration, not just analysis.

Intelligence isn’t just about prediction, but also minimizing surprise. It requires exploration, and exploration usually leads you into a lot of dead-ends.

The CIA put out a good paper on Intelligence Analysis Tradecraft awhile back,

https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/Tradecraft%20Primer-apr09.pdf

One of the big things that sticks out is that intelligence failures often come from bad assumptions that go unchallenged. Either because they are implicit and not analyzed or because the individual cannot address alternative perspectives. Shifting perspectives like this require adaptability in thinking.

Why not have an analyst write out all of their implicit and explicit assumptions that go into their analysis, and then trying to invert them to see if they still make sense? What kind of divergent thinking software have they designed for analysts? Stop and think about the ungodly amount of computing power the NSA and CIA have, now think about how to use it to get a better effect.

The other thing that sticks out is that the CIA Tradecraft paper recommends 10-12 people, while I’ve seen other papers that show the top out limit where group-think takes hold starting at 8-10.

I wonder if they tested cutting the groups down into smaller sized brain-storming sessions, and then doing a scrum of scrums to take the leaders of the smaller groups for another small brainstorming session after the first run?

Finally, the running strategy for the last 60 years or so for nearly every opfor has been to bleed US forces of cash and morale until they get tired of fighting.

All of the options mentioned by the blue team involve doing things that play into this. The blue team seemed to be ultimately reactive in this strategic context, mostly dependent on what the opfor decides to do.

All of their solutions involve doing things that will agitate the Iranian leadership. This can work if you can successfully go one step higher in violence than your opponent is ready to escalate at that point in time, but they haven’t defined any threshold for what the Iranians are ready to go to. And their willingness to move up to a higher threshold will change over time. Instead they just create a positive feedback loop.

Cyberwar : East Asians Versus Eastern Europeans

Estonian’s have started teaching kids to code from age 6 and up:

Just look at Estonia, the tiny Eastern European nation (population 1.3 million), where a new project is being put in place with the ambition of getting every six year old to learn coding at school.

The “ProgeTiiger” scheme, according to reports, will begin pilots this year with the ambition of getting school kids of all ages to start coding. There’s no suggestion yet that the classes will be mandatory, but the organization behind the move the Tiger Leap Foundation, says it wants to produce more creative computer users.

Some Eastern European countries definitely have a strong computer culture.

China does as well, but that is usually wrapped around the purpose of gaining trade secrets. The industries and team sizes are quite different.

In a report entitled ‘Peter the Great vs. Sun Tzu‘, Tom Kellermann, vice president of cyber security at Trend Micro, compared hackers from the two regions according to their focus, organization and the sophistication of their malware and infrastructure. His conclusion – the Eastern Europeans are far more insidious and strategic.

..

On the other hand, fewer anti-debugging techniques are used by East Asian hackers, who are more interested in speed and productivity. Backdoors also tend to be simpler, he noted, stating that “East Asian malware is thrown together quickly using already-existing components.”

“East Asian hackers on the other hand tend to use cheap, hosted infrastructure usually from mass ISPs that are easy to set up and manage,” he said in the report. “They are not necessarily concerned with being identified as the attacker as they do not go great lengths to hide their tracks like the East European hackers do.  This was shown in the recent LuckyCat incident which was traced back to Sichuan University which is a known training school for East Asian military.”

While East Asian groups tend to work for other organizations interested in their skills, hackers from Eastern Europe generally operate in small, independent units, and are focused on profit, he wrote. Their infrastructure tends to be developed by them specifically for their own use in attacks.

“They (Eastern European groups] tend to want to be in control of their entire infrastructure and will routinely set up their own servers for use in attacks, develop their own DNS servers to route traffic and create sophisticated traffic directional systems used in their attacks,” according to the report. “If they do go outside, they will carefully select bulletproof hosters to support their infrastructure. It is their hallmark to maintain control of the whole stack similar to the business models pioneered by Apple.”

“In general, the East Asian hackers are not at the same skill level of maturity as their East European counterparts,” Kellermann concluded. “The East European’s are master craftsmen who have developed a robust economy of scale which serves as an arms bazaar for a myriad of cyber munitions and bulletproof hosting infrastructures,” he said. Comparing the two to real-world military tactics, Kellermann added that East European hackers act like snipers when they launch campaigns, whereas the East Asian hackers tend to colonize entire ecosystems via the “thousand grains of sand approach”. Link

The OP is here

Here is a study of the LuckCat incident

Memory Implants, Mind Reading & Facial Recognition Technology

I doubt Edward Bernays could of imagined a world where you can whisper into a customer’s ear, or be capable of mining and processing data to find incredibly obscure patterns and correlating them with buying behaviors. My greatest fear is not that these technologies will be used against us, we have already started the arms race against the unprotected mind. It’s difficult to tell if the defenses when developed will be one of hardening targets or simply creating a pact of mutually assured destruction.

Previous posts have shown how easy it is, using open source data, to predict the outcomes of politically unstable events or to determine the likelihood of riots. My fear is that my failure’s of imagination will keep me from understanding the full and varied potentials of it’s use.

Tests in 2010 showed that the best algorithms can pick someone out in a pool of 1.6 million mugshots 92 per cent of the time. It’s possible to match a mugshot to a photo of a person who isn’t looking at the camera too. Algorithms such as one developed by Marios Savvides’s lab at Carnegie Mellon can analyse features of a front and side view set of mugshots, create a 3D model of the face, rotate it as much as 70 degrees to match the angle of the face in the photo, and then match the new 2D image with a fairly high degree of accuracy. The most difficult faces to match are those in low light. Merging photos from visible and infrared spectra can sharpen these images, but infrared cameras are still very expensive.

Of course, it is easier to match up posed images and the FBI has already partnered with issuers of state drivers’ licences for photo comparison. Link

The space between eyes has always been one of the key factors behind facial recognition because it can’t be altered. Right now bionic eyes can only produce crude grayscale images, but eventually they may be used to fool biometric ID systems.

Memories are often grouped into two categories: declarative memory, the short and long-term storage of facts like names, places and events; and implicit memory, the type of memory used to learn a skill like playing the piano.

In their study, the researchers sought to better understand the mechanisms underlying short-term declarative memories such as remembering a phone number or email address someone has just shared.

Using isolated pieces of rodent brain tissue, the researchers demonstrated that they could form a memory of which one of four input pathways was activated. The neural circuits contained within small isolated sections of the brain region called the hippocampus maintained the memory of stimulated input for more than 10 seconds. The information about which pathway was stimulated was evident by the changes in the ongoing activity of brain cells. Link

There is a large gap from insect brain’s to a rat’s, then from rat to chimp, and finally to human. This gap will take a long time to close. But when we do simulate the human brain and it’s processes implantation of memories will likely become much easier as well. In this case we don’t even need to simulate the human brain itself, just one of it’s functions.

A team of security researchers from Oxford, UC Berkeley, and the University of Geneva say that they were able to deduce digits of PIN numbers, birth months, areas of residence and other personal information by presenting 30 headset-wearing subjects with images of ATM machines, debit cards, maps, people, and random numbers in a series of experiments. The paper, titled “On the Feasibility of Side-Channel Attacks with Brain Computer Interfaces,” represents the first major attempt to uncover potential security risks in the use of the headsets.

“The correct answer was found by the first guess in 20% of the cases for the experiment with the PIN, the debit cards, people, and the ATM machine,” write the researchers. “The location was exactly guessed for 30% of users, month of birth for almost 60% and the bank based on the ATM machines for almost 30%.” Link

The lowest hanging fruit for hackers has always been humans. Kevin Mitnick almost exclusively used social engineering, because manipulating the social networks was much more effective than directly attacking hardened security protocols put in places by security professionals. Expect entirely new hardened systems to be creating around protecting and filter thoughts.

I fear a failure of imagination more than the atrocities that can come from this technology.

Interview With Jacob Appelbaum, Member of Tor and Wikileaks

If you’re wondering why they have a microscope embedded so deeply in his ass, he used to be a spokesperson for Wikileaks and he’s also a member of the Cult of the Dead Cow. Hacktivist’s have a six-degrees of Kevin Bacon connection to Wikileaks, it’s likely that not all of the material they receive was purposefully leaked. After credit card companies and banks cut ties with Wikileaks, they were introduced to an extended DDoS attack. As he describe in the interview, looking at metadata and relationships between people, even when using open source information, has created reliatble simulations of outcomttes.

Some of it is as safe as we think it can be, and some of it is not safe at all. The number one rule of “signals intelligence” is to look for plain text, or signaling information—who is talking to whom. For instance, you and I have been emailing, and that information, that metadata, isn’t encrypted, even if the contents of our messages are. This “social graph” information is worth more than the content. So, if you use SSL-encryption to talk to the OWS server for example, great, they don’t know what you’re saying. Maybe. Let’s assume the crypto is perfect. They see that you’re in a discussion on the site, they see that Bob is in a discussion, and they see that Emma is in a discussion. So what happens? They see an archive of the website, maybe they see that there were messages posted, and they see that the timing of the messages correlates to the time you were all browsing there. They don’t need to know to break a crypto to know what was said and who said it.

Traffic analysis. It’s as if they are sitting outside your house, watching you come and go, as well as the house of every activist you deal with. Except they’re doing it electronically. They watch you, they take notes, they infer information by the metadata of your life, which implies what it is that you’re doing. They can use it to figure out a cell of people, or a group of people, or whatever they call it in their parlance where activists become terrorists. And it’s through identification that they move into specific targeting, which is why it’s so important to keep this information safe first.

For example, they see that we’re meeting. They know that I have really good operational security. I have no phone. I have no computer. It would be very hard to track me here unless they had me physically followed. But they can still get to me by way of you. They just have to own your phone, or steal your recorder on the way out. The key thing is that good operational security has to be integrated into all of our lives so that observation of what we’re doing is much harder. Of course it’s not perfect. They can still target us, for instance, by sending us an exploit in our email, or a link in a web browser that compromises each of our computers. But if they have to exploit us directly, that changes things a lot. For one, the NYPD is not going to be writing exploits. They might buy software to break into your computer, but if they make a mistake, we can catch them. But it’s impossible to catch them if they’re in a building somewhere reading our text messages as they flow by, as they go through the switching center, as they write them down. We want to raise the bar so much that they have to attack us directly, and then in theory the law protects us to some extent.

But iPhones, for instance, don’t have a removable battery; they power off via the power button. So if I wrote a backdoor for the iPhone, it would play an animation that looked just like a black screen. And then when you pressed the button to turn it back on it would pretend to boot. Just play two videos. Link

Top 100 Torrents Are Monitored, Recorded

There are probably a lot of entities collecting info. Lots of intelligence agencies will suck up any piece of data they can get, even if it doesn’t have any immediate practical use. Marketing firms are always eager to have more data to package to sell to clients. Also, the use of magnet links instead of torrents makes it very difficult to figure out what files are being used, so most of the data is useless in the context of law enforcement.

Anyone who has downloaded pirated music, video or ebooks using a BitTorrent client has probably had their IP address logged by copyright-enforcement authorities within 3 hours of doing so. So say computer scientists who placed a fake pirate server online – and very quickly found monitoring systems checking out who was taking what from the servers.

The news comes from this week’s SecureComm conference in Padua, Italy, where computer security researcher Tom Chothia and his colleagues at the University of Birmingham, UK, revealed they have discovered “massive monitoring” of BitTorrent download sites, such as the PirateBay, has been taking place for at least three years.

“We only detected monitors in Top 100 torrents; this implies that copyright enforcement agencies are monitoring only the most popular content music and movie on public trackers,”the team says in its presentation paper. “Almost everyone that shares popular films and music illegally will be connected to by a monitor and will have their IP address logged,” says Chothia.

If it is for lawsuits, the standard of evidence may not be enough, says Chothia. “All the monitors connected to file sharers believed to be sharing illegal content. However, they did not actually collect any of the files being shared. So it is questionable whether the observed evidence of file-sharing would stand up in court.”

The study:


http://www.cs.bham.ac.uk/~tpc/Papers/P2PMonitor.pdf

Some Things That Will Disrupt The 21st Century Economy

  • Better translator technology. Right now I still have to pay money to get decent translations, that while cheap, has a 4-6 hours turn around time. Shared languages changes trading as much as being a border country.
  • Localized manufacturing. Right now there is a project going, funded by Peter Thiel, to use the principles behind printed organs and veins to create printed meat. Samne principle as is used in medicine, only much simpler. Many aerospace parts, for instance, can be designed in 3d printing machines. It would be lovely if we could manufacture decent circuit boards with this. Right now Taiwan and China pump out lots of cheap wafer boards, other countries produce higher quality ones. However all of the asian countries are teching up very quickly, but are still behind their western counterparts. But most of the growth that the West has enjoyed has come from a few isolated areas that, if combined, would form a small nation with an extremely high GDP. And those areas do everything they can to get talent from the entire world.
  • The technology to defeat the rifle is tantamount to disarmament. With a few exceptions, like being able to shoot a drone operator in their control room, this is true. Except new weapons, that while they are technically rifles, are more sophisticated.
  • Low earth orbit and space trade. Right now Seasteads are more practical, but by the time people wrap their heads around it, it may be easier just to switch to space colonies. Everyone has ideas at this point on how to decrease the cost of going into space, I have some ideas I’ve been kicking around some ideas for creating an electromagnetic heat shield for atmospheric reentry, but haven’t taken the time to actually test it. But in 5-10 years the economy of scale will be good enough that we can test random experiments. There’s no shortage of STEM guys who want to work on space and other sci fi tech.
  • Synthetic biology. This is now NASA’s preferred bootstrapping method, as it uses very little energy for it’s performance and is very portable.
  • Robotics, everyone is likely painfully familiar with this already.
  • Artificial General Intelligence.
  • Nanotech will also disrupt things, but it’s farther off. We might be able to use 3d printers to build things up from nano level.

Craig Venter speaking at NASA ames:

OpenCog, an open source Artificial General Intelligence project:

Another Advance In Bionic Prosthetic Eyes

The technology is moving forward a little faster than expected.

We have discussed bionic eyes at length, but for the most part these have been dumbprosthetics — chips that wire themselves into the ganglion cells behind the retina, which are the interface between the retina and optic nerve. These chips receive optical stimuli (via a CMOS sensor, for example), which they transmit as electrical signals to the ganglion cells. These prosthetic eyes can produce a low-resolution grayscale field that the brain can then interpret — which is probably better than being completely blind — but they don’t actually restore sight.

The Cornell prosthetic eye however, developed by Sheila Nirenberg and Chethan Pandarinath, is a much closer analog to a real eye. Its construction and implementation is rather complex, so bear with me.

Comparison of various prosthetic eye/retina technologies

First, gene therapy is used to deliver special proteins to the patient’s damaged retina (i.e. caused by degenerative diseases, such as macular degeneration or diabetic retinopathy). By using optogenetics, these proteins have been modified so that they’re sensitive to light — they’re not quite rods and cones, but they’re along the same lines.

The next step is the clever/unique bit. For years now, Nirenberg has been working on decoding the signals sent by the retina to the brain. A year ago, she cracked this code. At the time, she had only cracked the code used by the mouse retina, but now she’s cracked the monkey code too — and a monkey’s retina is very similar to ours.

That’s not the breakthrough here, though: Nirenberg and Pandarinath have now taken the mouse retina code and developed a working prosthetic, completely restoring a mouse’s vision.

The prosthetic contains a camera pointed forward, a Texas Instruments OMAP 3530 SoC (system-on-a-chip), and a tiny DLP pico projector. The SoC converts the camera’s output into encoded data that the mouse’s brain can understand, and then the projector is used to beam that data to the optogenetic proteins that were earlier placed in the retina using gene therapy. The optogenetic proteins then transmit the encoded signal to the brain, via the ganglion cells and optic nerve. Voila: restored (grayscale) vision.

Prosthetic bionic eye, encoded vs. plain old optogenetic methods

Link

Link To Study

Google’s Director Of New Projects – On Innovation

Dr. Astro Teller goes over his system for creating innovation, pointing out that:

  • Innovation is counter-intuitive, otherwise we would already be doing it. This means that experts in a field usually will not be able to predict (1) how useful an innovation will be because they are so deeply entrenched in the system. (2)
  • Ideally you should find 3-4% of experts in a field you a innovating in to agree with you, look for the “weird” ones. They should be willing to join you in your project. If everyone agrees with you, you are too late. If no one agrees with you, you are wrong about it.
  • You can’t judge your feelings on it, you either get a metric to judge progress of an innovation or follow the inventor as he makes progress on his work.
  • It’s important that you have a story about how the innovation would effect people, so that you can create something that actually changes people’s lives.
  • A story has to mention the problem, a product or service that solves the problem, you have to show that there is something hard, be it in creating it or in the legal barriers, and show why it wasn’t already fixed by the market a few years ago.
  • He recommends making people also give him 10 bad ideas along with the one good one, to show that they have been exploring lots of little bets that could pay off, instead of just hinging their success on one “big idea”.
  • It’s also super important to figure out what tools you used to implement that idea, and then spend time on improving those tools so you can innovate and implement the idea even better the next time around.
  • He even goes as far as throwing out the code his team writes for the first 6 months, to give them a lot of room to explore a huge goal and then start fresh with what they learned without having to hook it on to an old system.
  • Rebuilding from scratch allows you to iron out the errors and correct dysfunction. If you can’t rebuild it, you didn’t understand it deeply enough in the first place.
  • Separate the people who have an emotional or practical stake in preventing innovation. You don’t want to start a popularity contest among people who don’t want you to win.
  • You can’t break too many assumptions at the same time, otherwise it will be too far outside of the range of most people to market.
  • He gets his engineer’s to say no more than yes. Engineer’s are emotionally attached to their projects, you need to get them to separate themselves from the project. He even provides an incentive for them to kill their own projects, offering them a bonus if the project works, no bonus if it doesn’t or a bonus +10% or more if they are willing to kill their project and start on something new. The cost of running dumb projects is huge compared to bonuses.
  • You have to even kill the good ideas so that the great ones can prosper.
  • If you want to give people a lot of room to succeed, you have to give them a lot of room to fail and make a mess.
  • Innovation tends to happen in small groups with lots of structure.
  • It can be easier to create a new version with exponential gains, instead of relying on incremental gains. It forces you to stretch your brain to find new ways of solving the problem. You already know you can’t get huge gains using traditional methods. (3)
  • The easiest way to fix problems is to transplant ideas from one field to another.
  • “Me too” ideas can make money, like making new iterations of facebook for doctors, dentists, ect… but they are not innovations. Innovations are a new class. (4)
  • The best fields for innovation are where people are torturing themselves. What is the most painful and awkward thing people are doing in spite of the challenges, how can we make that easier and then sell it?
  • Engineers are taught to solve problems, entrepreneurs and designers are taught to change problems. An engineer will create a great vase, a designer will create a “mechanism to display flowers”, to loosen up the constraints and find the best solution possible.(5)
  • Profit motives tend to drive success, even in social problems. Profit motives make the enterprise more sustainable. Profit motives and making the world a better place are not mutually exclusive.
  • Find areas where big problems exist and there has to be a better solution, even if you don’t know what it is.
  • Some things are on paths that are predictable, in other cases the future must be invented and cannot be predicted.

Most of the books on innovation were made by academics, and usually either written for housewifes or as a dry academic text. Teller does a better job in describing how to create a good incentive system for innovation:

1. Even when elites are aware of technologies they tend to downplay their importance, even the experts in the field didn’t estimate the changes wrought by gunpowder, automobiles or the pc. Tons of engineers had to change their skills almost overnight when the transistor overthrew the vacuum tube. The cybernetic steam engine governor was made by a kid who just wanted to play marbles. The elite’s curiosity wasn’t stimulated enough and they had too much emotional investment in the status quo.

2. Reid Hoffman: “A side note on invention and innovation: when you have an idea for a startup„ consult your network. Ask people what they think. Don’t look for flattery. If most people get it right away and call you a genius, you’re probably screwed; it likely means your idea is obvious and won’t work. What you’re looking for is a genuinely thoughtful response. Fully two thirds of people in my network thought LinkedIn was stupid idea. These are very smart people. They understood that there is zero value in a social network until you have a million users on it. But they didn’t know the secret plans that led us to believe we could pull it off. And getting to the first million users took us about 460 days. Now we grow at over 2 users per second.” Link

3. This is also called the Jack Welch Strech, See The Art Of Asking The Right Questions Link

4. It’s easier and more reliable to make money by copying other people. See First Mover Advantage v. Ecosystem/Fast Follower Advantage Link

5. Increasingly the field of marketing, engineering and design are merging into one as benefits are being custom tailored to products and distribution networks, see Airbnb Link

A Look At Internet Censorship In Malaysia & Vietnam

The internet news cycle loves to collect pageviews by finding things that make people angry. When there is no news, news must be assisted into existing to fill the space in the 24/7 media cycle that wants to collect more pageviews, and therefore more advertising dollars. Wikileaks has gotten very clever with it’s manipulation of the media cycle by stoking the anger of citizens and giving newspapers what they want, more things to outrage people. This time they’ve leaked information about a secret project called TrapWire, a large scale integrated surveillance network which has actually had a public website with an explanation of it’s services up for several years.

Journalism is becoming more and more hyperbolic, constantly seeking to plant implications that will force individuals to spread news pieces virally so they can feed more advertising dollars into the internet media machine. All of this ignores the long term reality of a society where it’s becoming extremely unlikely that we will have any serious privacy unless we create unique defenses with these new technologies as they develop.

Not even your genetic data will be safe. Right now it costs around $10,000 to sequence a human genome, 10-15 years from now we might be able to do it with a smartphone on the fly. In 10 years or less cameras with web-cam level resolution will be cheap enough that you can print them out and post them around town like stickers.

A great deal of the progress from the past 20 years was built on the back of Moore’s Law. Simply trying to block out the free-flow of information isn’t going to be a good long term strategy for any society that wants to reap the rewards of scientific progress. More knowledge than ever is circulating, and pieces of knowledge are going obsolete faster than ever at the same time. The imposition of government censorship, as it exists in most countries, is just going to act as a tax that will hinder them from competing and taking full advantage of advances in AI, roboticsnanotechnology, 3d printing and synthetic biology. In some cases that’s a good thing, there are many dangers that come with the technology but the opportunity costs of not embracing it will hurt more in the long run for smaller countries.

Dang Thi Kim Lieng, the mother of the jailed blogger Ta Phong Tan, died after setting fire to herself today outside the headquarters of the People’s Committee in Bac Lieu, Tan’s home province, in an act of despair about her dissident daughter’s trial next week in Ho Chi Minh City for criticizing corruption and injustice in her blog.

The organization also calls for the immediate and unconditional release of Tan and her fellow defendants – Phan Thanh Hai (also known by the blog name of Anhbasaigon) and Nguyen Van Hai (also known by the blog name of Dieu Cay) – who are due to go on trial with her on 7 August. Link

On July 25, Stanford law school’s Alan Weiner tabled a petition to the United Nations about the arbitrary detention of 17 activists from the Catholic Redemptionist Church in Vietnam.

However no matter the amount of pressure applied and the number of statements issued, the situation in Vietnam has not improved. Weiner calls it “a growing pattern of human rights abuses”  in a press release sent to media.

In fact, the decline dates back to 2008 when press freedom was curtailed after two reporters were arrested for their reporting on the well-known PMU18 case, when, in 2006, some Party officials were found to be gambling vast sums of Japanese and World Bank aid money on football matches.

That was the same year a new blog law came into force officially banning bloggers from touching anything political.  Link

Malaysian Web activists are fighting back against a Parliament ruling that could land bloggers in court.

As noted by the BBC, Aug. 14 was dubbed “Internet Blackout Day” in Malaysia, but since the country runs 12 hours ahead of the U.S. east coast, most Americans were asleep as the protest raged.

Participants blackened their home screens to protest the amendment to Section 114A of the Evidence Act, which was revised in April. The changes place all responsibility on website owners for any defamatory comments posted on the site. The amendment says that anyone can bring legal or criminal action against social networkers, mobile device owners, and even Wi-Fi network service providers who post defamatory comments on any website.

News site Malaysiakini, along with about 60 other news hubs, commercial websites, and prominent blogs, participated in the Web blackout.

“In other words, if defamatory comments are posted on a blog, the blog owner is likely to be sued or charged with criminal defamation,” Malaysiakini said on its website.

Link

Andrew Hessel – Introduction to Synthetic Biology

Good one hour overview of the field by showing it’s similarities to traditional computing, also gives an explanation of it’s hockey stick growth:

Here’s a video documentary following some college students as they learn to how create bacteria that can perform useful tasks, like trying figuring out if water is safe to drink:

A synthetic biology documentary by Kelly Neaves and Dominic Rees-Roberts, following the Imperial College IGEM team (International Genetically Engineered Machine), as they discover how to engineer bacteria to perform specific tasks, and consider the implications of their work.

See previous:


http://colonyofcommodus.wordpress.com/2012/08/12/suggested-reading-for-understanding-the-trends-in-biotech/


http://colonyofcommodus.wordpress.com/2012/08/12/synthetic-biology-stuff/

Suggested Reading For Understanding The Trends In Biotech

The Pace and Proliferation of Biological Technologies, Robert Carlson


http://www.synthesis.cc/writing/Carlson_Pace_and_Prolif.pdf

Laying the foundations for a bio-economy, Robert Carlson


http://www.springerlink.com/content/n211746672413507/fulltext.pdf

Biotech Advance Rates Category, Future Pundit blog:


http://www.futurepundit.com/archivestt/cat_biotech_advance_rates.html

NASA Innovative Advanced Concepts (NIAC)

The private sector is very good for executing practical technology, however most companies don’t have the budget or resources to take up innovative projects that may take decades to pay off. Public funded institutions like NASA bridge that gap by funding long-term innovation.

For a quick list of private sector spin-offs from NASA research, see this site:


http://spinoff.nasa.gov/


http://www.psfk.com/2012/08/nasa-space-program.html

As part of their NASA Innovative Advanced Concepts (NIAC) program, the space agency recently announced the 28 selections for study and development as part of their larger Space Technology program. Proposals focus on developing technology that would help the agency achieve their future goals, and include research into power, propulsion systems, structures and avionics. Phase I proposals receive $100k for one year of research and Phase II proposals receive $500k for two years. They are eons away from any practical application, but the range of proposals give a hint of the direction NASA is moving in.

Here are our top five favorites, first from Phase I:

Water Walls

Getting rid of human waste is a big issue when you are floating out in space, and NASA’s Ames Research Center proposes an answer. In this space craft a system within the walls (“Water Walls”) filters out reusable water from waste material through osmosis. The waste material then gets recycled out as a radiation shield.

Water Walls: Highly Reliable and Massively Redundant Life Support Architecture

Exploration of Under-Ice Regions with Ocean Profiling Agents (EUROPA)

Pretty much the coolest submarine you could ever imagine, this project looks to design a craft for exploring Europa, the underwater ocean of Jupiter’s sixth closest moon. Developed by a team of scientists at Virginia Polytechnic Institute and Virginia State University, the submarine would be able to dive beneath Europa’s icy surface to discover what lies beneath.

Venus Land Sailing Rover

While the EUROPA submarine explores the depths of one planet’s moon, this project would create a craft that instead looks from the sky. NASA’s own Glen Research Center proposed a craft that would be able to sail above or through this planet’s dense atmosphere.

Our favorite Phase II proposals:

The V2 Suit

The full name of this project is the “Variable Vector Countermeasure Suit (V2Suit) for Space Habitation and Exploration,” or V2 for short. This spacesuit creates the sensation of gravity during movement by guiding flywheels attached to the suit, using gyroscopes and accelerometers. Designed by Kevin Duda of the Charles Stark Draper Laboratory, the suit tackles muscle atrophy and bone loss that occurs when astronauts spend long periods of time in zero gravity.

Variable Vector Countermeasure Suit (V2Suit) for Space Habitation and Exploration

The Fusion Propelled Rocket

This proposal researches how fusion energy could be used to fuel rocket propulsion systems. Using fusion energy speeds up the time quite a lot – currently it takes a mission 210 days to reach Mars. With this technology, it would take 30.

There’s a full list of projects here, one thing that stuck out was the deep-space mining robot project:


http://www.nasa.gov/offices/oct/early_stage_innovation/niac/niac_2012_phaseIandII_awards.html

Robotic Asteroid Prospector (RAP) Staged from L-1: Start of the Deep Space Economy

I can’t find any specific information, but it sounds interesting. More to come.

Synthetic Biology Stuff

Life may be the software that makes its own hardware, but where is the compiler? If we plan to start programming life itself, we are going to need a radically different and better tool kit than the one available to geneticists today. Omri lays out a concrete vision for how such a tool would work and for how it would be used to create the bio-products our future needs so badly.

Here is a flash explanation of the PCR process that is commonly used at labs to look at DNA:


http://learn.genetics.utah.tedu/content/labs/pcr/

PCR (short for Polymerase Chain Reaction) is a relatively simple and inexpensive tool that you can use to focus in on a segment of DNA and copy it billions of times over. PCR is used every day to diagnose diseases, identify bacteria and viruses, match criminals to crime scenes, and in many other ways. Step up to the virtual lab bench and see how it works!

There has been an on-going effort to create open-source tools that can be used to standardize synthetic biology.

You can view courses on Synthetic Biology from the Open WetWare wiki here:


http://openwetware.org/wiki/Courses

Here you can get a free open-source project kit with educational materials here:


http://biohack.sourceforge.net/

You can get some basic news and look at the different initiatives like BioBricks here:


http://syntheticbiology.org/

Here is a partial list of different open-labs and meet-ups for amateurs to use:


http://diybio.org/local/

Google’s Endgame


http://www.artificialbrains.com/google-x-lab

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” - Larry Page, October 2000 (sourtce)

“Google will fulfill its mission only when its search engine is AI-complete. You guys know what that means? That’s artificial intelligence.” - Larry Page, May 2002 (The Big Stwitch, page 212)

“The ultimate search engine would understand exactly what you wanted when you typed in a query, and it would give you the exact right thing back, in computer science we call that artificial intelligence. That means it would be smart, and we’re a long way from having smart computers.” - Larry Page, November 2002 (source)

“One of my favourite things is artificial intelligence, but it has gotten a very bad rap, but my prediction is that when AI happens it’s going to be a lot of computation and not so much clever algorithms but just a lot of computation. My theory is that if you look at your programming, your DNA, it’s about 600 megabytes compressed, so it’s smaller than any modern operating system, smaller than Linux or Windows or anything like that, your whole operating system, that includes booting up your brain. So your program algorithms probably aren’t that complicated, it’s probably more about the overall computation. We have some people at Google who are trying to build artificial intelligence and to do it on a large scale to make search better. Very few [other] people are working on this, and I don’t think it’s as far off as people think.” - Larry Page, February 2007 (source)

CIA Funded Method For Determining Political Instability

Taken from open source data.

The US Government-sponsored Political Instability Task Force presented many of its Phase V findings during a panel at the 2005 annual meeting of the American Political Science Association in Washington, DC, September 3, 2005. Copies of the three papers presented at the meeting are posted here in PDF format.

The PITF is funded by the Central Intelligence Agency. The PITF website is hosted by hosted by the Center for Global Policy at George Mason University and is provided as a public service. The views expressed herein are those of the Task Force and its individual members, and do not represent the views of the University or the US Government. Link

…First is trade openness (the total value of imports plus exports divided by GDP).
Countries with lower trade openness (at the 25th percentile in the global distribution) had roughly
two to three times higher odds of near-term instability than countries with higher openness to
trade (those at the 75th percentile). State-led discrimination reappears, but with a larger impact.
The odds ratio between states with and without major economic or political discrimination
ranges from three to forty across the three control sets. The large range suggests the presence of
outliers in control set B2, but the variable remains statistically significant across all three control
sets.

Colonial heritage makes a notable difference in stability, with countries that were not
formerly French colonies having odds of instability roughly four to thirteen times greater than former French possessions.

This most likely reflects the fact that France has been far more involved than other former colonial powers in
maintaining economic and political order in its prior domains, including supporting the West African Franc,
providing generous support to post-colonial rulers, and even intervening militarily to maintain unpopular rulers and head off rebellions.

We tested this argument with a categorical
version of a variable that counts a chief executive’s cumulative years in office and found that
new leaders (less than five years in office) and “entrenched” leaders (those more than fourteen
years in office) indeed faced higher odds of instability than their peers who had been in office from 5-14 years. The odds of near-term instability for short-term leaders were two to fifteen times higher, and those for entrenched leaders were six to twelve times higher.

Finally, we did find one effect of group composition on instability. Countries that had a
dominant religious majority (over two-thirds of the population identified with the main religious
group) were more likely to experience instability than countries in which the population was
more evenly divided among different religious groups. Countries with a dominant religious
majority faced relative odds of instability five to twelve times greater than those that were more
evenly divided

All of that said, regime type once again showed the strongest effects. With fewer cases
and thus smaller samples, we did not find significant differences among all five regime types;
instead, it was simply the case that full autocracies were most stable, partial democracies with
factionalism were the most unstable, and all other regimes fell in the same middling range of
instability. In particular, these other regimes had odds of instability that were six to nine times
higher than those of full autocracies. Here, however, the impact of partial democracies with
factionalism shoots right off the scale because in our data every African country that mixed
partial democracy with factionalism suffered instability”

Rich Chinese Parents Prefer Sending Their Children To Western High Schools & Universities

Amid rigorous and tough education programs in China, an increasing dilution of Chinese talent is mapped out in this ‘Export of Studies’ infographic.

The education system in the East is very different from those of Western nations. It is not uncommon for children as young as 3 years old to have to interview to gain acceptance into their kindergarten of choice. As they get older, the process gets increasingly competitive, creating a studious and unimaginably hard-working and high-pressure culture. As cited in Export of Studies, parents are looking to escape a linear and tightly focused system in favour of the more individual-centered and creativity-encouraging schools of the West.

With the United States, the U.K. and Canada receiving the most students, it seems China will have to make some modifications to its curriculum to retain the talent of its young. Link

 

 

China currently provides around 21 percent of all international students newly enrolled in American schools – contributing roughly $4 billion to the American economy, according to the U.S. Department of Commerce, writes Adriene Mong at NBC News. Link

College officials and consultants say they are seeing widespread fabrication on applications, whether that means a personal essay written by an agent or an English-proficiency score that doesn’t jibe with a student’s speaking ability. American colleges, new to the Chinese market, struggle to distinguish between good applicants and those who are too good to be true.

Zinch China, a consulting company that advises American colleges and universities about China, last year published a report based on interviews with 250 Beijing high-school students bound for the United States, their parents, and a dozen agents and admissions consultants. The company concluded that 90 percent of Chinese applicants submit false recommendations, 70 percent have other people write their personal essays, 50 percent have forged high-school transcripts, and 10 percent list academic awards and other achievements they did not receive. The “tide of application fraud,” the report predicted, will most likely only worsen as more students go to America.

She has seen conditionally admitted students increase their Toefl scores by 30 or 40 points, out of a possible 120, after a summer break, despite no significant improvement in their ability to speak English. Her students, she says, don’t see this intense test-prepping as problematic: “They think the goal is to pass the test. They’re studying for the test, not studying English.” Link

Zhao Jun, a municipal education official who is hoping to send his son abroad, told the Atlantic that Chinese courses are “too rigid, the method of teaching is too mechanical, and the standard for measuring talent is too one-dimensional.”

..

However, most wind up staying for the long term. Last year, Fujian’s Overseas Chinese (Huaqiao) University estimated that only 497,400 of the 1.62 million students that arrived in the United States between 1978 and 2009 returned to the land of their birth. That means almost 70 percent of the Chinese students who came to the U.S. during that period made it their new home. Link

See also:


http://colonyofcommodus.wordpress.com/2012/06/19/asian-immigrants-surpass-hispanics-for-first-time/


http://colonyofcommodus.wordpress.com/2012/07/15/links-on-test-cheating-in-china/

On Speed Reading

In order to get up to a high word-per-minute reading basis, you have to cut out subvocalization. The trick I’ve found for doing this is that once you start reading at a certain speed it’s impossible for you to subvocalize.  My own experience has shown me that chunking things together at this speed actually increases my comprehension. My old speed was about 750-850 wpm with 83% accuracy, though I’m somewhat out of practice now. You temporarily lose some comprehension as you adjust to new speeds, so it’s better to warm up with filler material.

However it seems my method won’t work for everyone:

I have tried almost everything to eliminate subvocalization, but I remain unsuccessful. Here is a somewhat comprehensive list of my failed techniques:

  • Counting out loud.
  • Counting internally (through subvocalization).
  • Listening to various types of music.
  • Humming.
  • Making a drawn out noise, both out loud and through subvocalization. (In the latter case I hear both the noise and the words internally.)

I have also tried the often-suggested method of reading so fast that I can’t possibly subvocalize all the words, and this has also been unsuccessful. While I am already capable of reading and understanding without subvocalizing every single word, after reading for half an hour to an hour every night faster than I was comfortable with (highly reduced comprehension) I noticed no increase in how fast I could read with normal comprehension. I don’t expect a great difference to occur instantly, but I calculated no difference at all, which caused me to conclude the method I was using was unsuccessful. Link

On the other hand, it can be easier to break through hard problems by reading things out loud to gain a better understanding of it. It’s sort of a mute point though, grasping difficult technical concepts is about more than just reading speed. To get a really solid handle on things you have to use spaced repetition, the roman room method and the “Feynman” technique:

Here is a free webapp you can load up and insert text in to get started:


http://www.spreeder.com/app.php

Make sure your material (the What) is fairly easy for you. You should know something about the subject matter and have no major problems with the vocabulary, style, or ideas. Don’t expect to read Scientific American or Spinoza’s philosophy rapidly and with full comprehension the first time through, unless you are a scientist or philosopher. Link

On a side note, I suspect that this method may be applicable to remote viewing training, we can prevent analytic overlay by chunking and therefore speed up the process. Taking the time to stop and draw out or put information into words unpacks the knowledge and slows you down to the point that you start subvocalizing. New techniques combined with the integration of electromagnetic stimulation and fMRI can advance the field beyond it’s current lackluster state. Mystics have spent generations trying to figure out ways to quiet the mind, though now this meditation is used more for it’s emotionally therapeutic benefits rather than for increasing raw focusing power.

See also:


http://colonyofcommodus.wordpress.com/2012/06/19/more-crv-stuff/


http://colonyofcommodus.wordpress.com/2012/05/23/psicontrolled-remote-viewing-testing-resources/

How Singapore Went From A Fishing Village With Slums Full Of Shacks To A Thriving City-State With Skyscrapers

http://www.trendhunter.com/keynote/reinvention-keynote

In this reinvention keynote, native Singaporean and venture capitalist James Chan discusses how policies can help create successful cities. The age of the nation has passed and now the age of cities is upon us. The flow of power and money into cities is continually increasing so they can command their own futures. There is the possibility for cities to magnify humanity’s strength, yet as people continually aggregate in cities, urban density increases there are many lingering problems.

Chan demonstrates how the policies used in the Singapore deal with problems related to water shortage, water pollution, racial riots and lack of jobs to turn a developing city into a developed city. Education helps enable social mobility allowing for the best and brightest to step forward.

In the past I’ve gone into detail on why I think technological incentives generally favors smaller, more agile city-states. Understanding how Singapore has come so far is important to understanding how a new city-state could do the same.

Here’s my cliff notes of the talk with extra reading material from other people, he doesn’t have enough time to go into enough detail about the entire country so a lot of extra material is needed to really get the point across (in my opinion):

1. Start with the basics.

My notes: He doesn’t go into too much detail, I’d recommend reading Vinay Gupta’s Dealing In Security : Understanding How Vital Services Keep You Safe (pdf) for a clearer overview.

2. Engineer Political Stability. Attract the best and brightest from the city to serve. Success of the top 1% of leaders is no longer a functional just of intelligence and passion to serve, but also empathy. What worked before may not work now. Policies take more than one political term to take effect.

My notes: To elaborate more, let’s turn to the class notes from Peter Thiel’s class on Start-Up’s:

Everybody knows that company culture is important. But it’s hard to know exactly what makes for an ideal culture. There are obviously some things that work. Even though they didn’t necessarily look like a winning investment at the time, the early Microsoft team clearly got something right.

Then there are some things that don’t work so well. A cult is perhaps the paradigmatic version of a culture that doesn’t work. Cults are crazy and idealistic in a bad way. Cult members all tend to be fanatically wrong about something big.

And then there is what might be called anti-culture, where you really don’t even have a culture at all. Consulting firms are the classic example here. Unfortunately, this is probably the dominant paradigm for companies. Most of the time, they don’t even get to the point of having culture. People are mercenaries. People are nihilistic.

Picture a 1-dimensional axis from consultant-nihilism to cultish dogmatism. You want to be somewhere in the middle of that spectrum. To the extent you gravitate towards an extreme, you probably want to be closer to being a cult than being an army of consultants.

Good company culture is more nuanced than simple homogeneity or heterogeneity. On the homogeneity side, everyone being alike isn’t enough. A robust company culture is one in which people have something in common thatdistinguishes them quite sharply from rest of the world. If everybody likes ice cream, that probably doesn’t matter. If the core people share a relevant and unique philosophy about something important, you’re onto something.

Similarly, differences qua differences don’t matter much. In strong company cultures, people are different in a way that goes to the core mission. Suppose one key person is on an ice cream only diet. That’s quirky. But it’s also irrelevant. You want your people to be different in a way that gives the company a strong sense of identity and yet still dovetails with the overall mission. Having different kinds of problem-solvers on a team, for example, can make for a stronger culture.

In thinking about building good company culture, it may be helpful to dichotomize two extreme personality types: nerds and athletes. Engineers and STEM people tend to be highly intelligent, good at problem solving, and naturally non zero-sum. Athletes tend to be highly motivated fighters; you only win if the other guy loses. Sports can be seen as classically competitive, antagonistic, zero-sum training. Sometimes, with martial arts and such, the sport is literally fighting.

Even assuming everyone is technically competent, the problem with company made up of nothing but athletes is that it will be biased towards competing. Athletes like competition because, historically, they’ve been good at it. So they’ll identify areas where there is tons of competition and jump into the fray.

The problem with company made up of nothing but nerds is that it will ignore the fact that there may be situations where you have to fight. So when those situations arise, the nerds will be crushed by their own naiveté.

So you have to strike the right balance between nerds and athletes. Neither extreme is optimal. Consider a 2 x 2 matrix. On the y-axis you have zero-sum people and non zero-sum people. On the x-axis you have warring, competitive environments (think Indian food joints on Castro Street or art galleries in Palo Alto) and then you have peaceful, monopoly/capitalist environments.

Stephen Cohen: …That early understanding reflected the three salient properties that inhere in good company culture. First, a company must have very talented people. Second, they must have a long-term time orientation. Third, there must what might be called a generative spirit, where people are constantly creating. With this framework, hiring is more understandable: you just find people who have or contribute to all three properties. Culture is the super-structure to choose and channel people’s energies in the right direction.

One error people make is assuming that culture creates these three aspects. Take a look at the Netflix company culture slides, for instance. They seem to indicate that you can produce talent from non-talent, or that you can take someone focused on the now and somehow transform them into long-term thinking. But you can’t. Culture can always do more harm than good. It can reflect and enhance these three properties. It cannot create them.

From that insight comes the conclusion that hiring is absolutely critical. People you don’t hire matter more than people you do hire. You might think that bad hiring decisions won’t matter that much, since you can just fire the bad people. But Stalin-esque meritocracy sucks. Yes, you can shoot the bad people in the back of the head. But the problem with that is that you’re still shooting people in the back of the head.

Max Levchin: The notion that diversity in an early team is important or good is completely wrong. You should try to make the early team as non-diverse as possible. There are a few reasons for this. The most salient is that, as a startup, you’re underfunded and undermanned. It’s a big disadvantage; not only are you probably getting into trouble, but you don’t even know what trouble that may be. Speed is your only weapon. All you have is speed.

So how do you move fast? If you’re alone, you just work really hard and hope it’s enough. Since it often isn’t, people form teams. But in a team, an n-squared communications problem emerges. In a five-person team, there are something like 25 pairwise relationships to manage and communications to maintain. The more diverse the early group, the harder it is for people to find common ground.

The early PayPal team was four people from the University of Illinois and two from Stanford. There was the obligatory Russian Jew, an Asian kid, and a bunch of white guys. None of that mattered. What mattered was that they were not diverse in any important way. Quite the contrary: They were all nerds. They went to good schools. (The Illinois guys had done the exact same CS curriculum.) They read sci-fi. And they knew how to build stuff. Interesting to note is that they did not know how to build stuff the right way. It turned out that scaling up would be very challenging for PayPal because the 26 year-olds who were managing hundreds of thousands of credit cards didn’t make all the optimal choices from the beginning. But there was great clarity in the early communications. There was no debate on how to build that first database. And that alone made it possible to build it.

Link

3. Educate and attract talent above the population average. Education is viewed as the great enabler of social mobility. He talks about how he studied alongside poor kids, rich kids, and minorities. All of them were given the same opportunities via standardized testing to prove themselves. Education is used as a filter to find top talent, give them scholarships and groom them for positions in the bureaucracy. Secondly, do your best to attract foreign talent as your own well is only so deep. At the younger level, they give scholarships to all of the cities and countries around Singapore to encourage them to come and study there. Create a skilled immigration policy so that you can inject hunger and fresh experiences into the city.

My notes:

Excessive standardized testing curbs understanding in favor of reaching a higher score. If you’re pulling a city-state from the third world into the first world, having a solid metric you can judge performance on is great. However if this is taken too far, you end up with a situation like China is in, where cheating becomes a huge industry:


http://colonyofcommodus.wordpress.com/2012/07/15/links-on-test-cheating-in-china/

The difference is that corruption is punished much more harshly in Singapore. Officials collaborating  and accepting bribes to rig scores would not be taken lightly, unlike in China where the system is too weak and corrupt to enforce laws uniformly.

See this study about the perception of Singaporean students on cheating, note that not contributing your fair share to group projects is considered “cheating”:


http://bschool.nus.edu/Staff/bizlimv/publications/lim%20and%20see%20(2001).pdf

There is still a high rate of students reporting some form of cheating, so there is only so much good a focus on scores at the expense of understanding can do. The weakest link in the contrasting Finnish model is that Finland has no universities in the top 50 rankings. If you’re using your system to find and ID talent, you need some metric to judge that by. So the Finnish method comes up missing there.

For more info on contrasting the systems, see the previous post on Finnish v. Singaporean education systems:


http://colonyofcommodus.wordpress.com/2012/0t5/01/education-finland-v-singapore/

Next on the subject of skilled immigration:

With state-of-the-art laboratory technology, an environment devoid of ethical watchdogs and, most importantly, plenty of research funding, he is attracting some of the West’s leading biotechnology experts to this authoritarian island nation.

Yeo is constantly on the lookout for new talent. His office is filled with stacks of articles from NatureScience and other leading scientific journals. The authors’ names are highlighted, clearly an indication that he has already picked out his next ideal candidates. “Some people collect butterflies. I collect scientists,” says Yeo, who likes to walk around his carpeted office without shoes.

One of his biggest catches is the German-born Axel Ullrich, a cancer researcher from the Max Planck Institute for Biochemistry, a man seemingly tailor-made for Yeo’s needs. Ullrich is well-known among molecular biologists because he was one of the first to translate some of his profession’s grand promises into medical practice.

There are few legal restrictions. For example, researchers in Singapore have already obtained six stem cell lines from human embryos, something that would be prohibited in Germany. “We just happen to be more pragmatic here,” says Yeo. He says that Singapore is a multitheistic state where Buddhists, Taoists, Christians and Muslims are able to live in harmony because no one insists that his religious convictions are absolute.

Link

The other burgeoning sector of foreign labor — skilled workers — is usually referred to as “foreign talent” in both government and public discourse. Currently, skilled workers and professionals account for 22.0 percent (about 240,000) of Singapore’s total nonresident workforce, eclipsing the 14.6 percent recorded for 2006. Link

4. Share the wealth. Singapore has a GDP per capita that puts it in the top 5, depending if you use the CIA, IMF or World Bank ranking. The 2 keys to sharing the wealth:

Asset Appreciation, built on the back on widespread public housing. This is possible because of economic growth and housing value appreciation. A public apartment that was bought in 1990 for 100,000 is worth 600,000 now.

The 2nd tool is the Central Provident Fund. It’s similar to the 401k in it’s roots, that evolved into a tool that fulfills the medical, investment and education needs of it’s people. In times of economic strife or years of surplus the government can make deposits into individual’s accounts. He received 700 Singapore dollars ($560ish) this year from the fund. It’s a handout, but you can’t take it out for cash, just for government approved expenses.

The second part is income taxes. The average college graduate from Singapore would earn about $35,000 a year, but he wouldn’t have to pay anymore than $500 in income taxes for the year.

The government covers subsidizes healthcare costs. Costs are much lower all around.

My notes:

The housing situation sounds like a long-term government funded bubble. Good for attracting investment, as we saw in the US, when markets are growing and confidence is high people will assume that prices can only go up. A very simple “investment” with a guaranteed return.

On the Central Provident Fund, we find a common problem with retirement schemes, too many old people:


http://en.wikipedia.org/wiki/Central_Provident_Fund

In Singapore, the Central Provident Fund (Abbreviation: CPF; Chinese: 公积金, Pinyin: Gōngjījīn) is a compulsory comprehensive savings plan for working Singaporeans and permanent residents primarily to fund their retirement, healthcare and housing needs. It is administered by the Central Provident Fund Board, a statutory board under the Ministry of Manpower.

Working Singaporeans and their employers make monthly contributions to the CPF and these contributions go into three accounts:

  • Ordinary Account(OA) – for housing, pay for CPF insurance, investment and education.
  • Special Account(SA) – for old age and investment in retirement-related financial products.
  • Medisave Account(MA) – for hospitalisation and approved medical insurance.
  • Retirement Account(RA) – created when one turns 55 using the savings in OA and SA. It is set up to meet basic needs during old age.

The CPF savings earn a minimum risk-free interest of 2.5% guaranteed by the Government. In 2008 and 2009, Special, Medisave and Retirement Account savings earned a guaranteed minimum 4% interest. In addition, the first $60,000 in the combined CPF balances, with up to $20,000 from the Ordinary Account, earned an extra 1% interest

The greatest threats presently facing the CPF schemes are the dwindling birth rate and persistent low yield returns from Hold-To-Maturity financial instruments. The dwindling CPF contributions due to aging population will test the future government’s ability to meet CPF savings redemptions if population continues to age without raising existing taxes. The various schemes e.g. CPF Life annuities schemes and Minimum Scheme Sum provided the means to stagger CPF withdrawals or pool longevity risks. However they will not fundamentally solve the problem of re-investing the massive CPF savings to ensure that the low yields are able to provide substantial retirement savings for citizens.

Next, the tax code, which appears to be dramatically simpler than the IRS code:


http://www.guidemesingapore.com/taxation/personal-tax/singapore-personal-tax-guide

  • Singapore follows a progressive tax rate starting at 0% and ending at 20% above S$320,000.
  • There is no capital gain or inheritance tax.
  • Individuals are taxed only on the income earned in Singapore. The income earned by individuals while working overseas is not subject to taxation barring few exceptions.
  • Tax rules differ based on the tax residency of the individual.

TAX EXEMPTION FOR QUALIFYING NEW START-UP COMPANIES

Singapore tax regime recognizes the importance of easing cash flow for startup companies in their initial years of operation, therefore the system, extends support in the form of sizeable exemptions to resident companies.

5. Remain relevant. Reinventing a city never ends. It must remain relevant to it’s people and the world. The Singapore leadership is extremely paranoid about it’s relevance.

Yet not all that glitters is gold. The bottom 20% are not earning anymore than $500-600(USD) every month. There is still an underclass in Singapore. The city has to trade-off growth versus inclusiveness.

As the city grows political stability may become harder. For the first time in history, 82 out of the 87 seats in the Singapore elections are contested. The opposition used to be pathetic, but as the city grows and becomes more diverse it will have to walk the line between political diversity and political stability.

Singapore is an 80 story building on marshy land – Lee Kuan Yew

The foundation of Singapore is built on racial and religious harmony, without it the city will descend into petty squabbling.

Next, see Foseti’s review of Lee Kuan Yew’s book:

Everybody loves multiculturalism, but the dirty little secret of the multicultural society is that no one has any idea how to govern one. Lee’s Singapore is the first attempt to create a system of governance that seriously attempts to deal with the problems associated with a multi-racial/ethnic/religious society (hint: the answer is not more democracy).

The first thing Lee did when he took over was build a defense force. To do this, Lee turned to Israel and Switzerland for examples of how a small country should go about defending itself. The next think he did was ensure the safety and security of the country and provide a stable legal system.

A Singapore with a totally free press would have in the best case scenario been plagued by ethnic or racial or religious violence and in the worst case become an actual Communist country. Instead, it became what it is today and everyone is immensely better off.

Lee defends his policies by noting that totally free presses are highly over-rated. Lots of countries with free presses still have high levels of corruption. He also noted that in his dealings with the press, USG (specifically State) would get involved quickly.

Lee had no intention of trading freely with anyone at first. He wanted everyone in Singapore employed (so they wouldn’t riot, among other reasons) and he didn’t want them competing with low-cost Malaysian labor. Singapore specifically protected cars, appliances, consumer electronics and other consumer goods. The protections were all phased out later, as national industries matured, the population got richer and better educated and other sources of employment became available.

Many in the West believe that the government is capable of fulfilling the obligations of the family when it fails, as with single mothers. East Asians shy away from this approach. Singapore depends on the strength and influence of the family to keep society orderly and maintain a culture of thrift, hard work, filial piety, and respect for elders and for scholarship and learning.

One of the reasons Lee was so successful was that he changed his mind quickly if something he tried didn’t work. For example, he instituted several programs to try to scatter people of the same race. However, no matter what he tried, the groups eventually recongregated. Instead of mandating desegregation, the Singapore government eventually changed election laws so that some minority representation was required and, for similar reasons, got rid of jury trials. This system combined with some geographic quotas on concentrations seemed to work.

Ceylon and Singapore became independent commonwealth Commonwealth countries and both are island nations. Anyone looking at the two countries at independence would have bet that Ceylon had the brighter future. However, both countries had diverse populations and Ceylon pursued a more democratic route following its independence. Lee sums up the results: “During my visits [to Ceylon] over the years, I watched a promising country go to waste. One-man-one-vote did not solve its basic problem,” which was ethnic conflict. Link

Prime Minister Lee Hsien Loong said this at the Economic Society of Singapore’s annual dinner on Friday evening.

Since 2003, Singapore’s economy grew an average 6.3 per cent per year.

Mr Lee said: “Singapore cannot avoid slower growth in the next decade and beyond. This is natural because we are now more developed and we are also running up against land and labour constraints, especially as we reduce the inflow of foreign workers.

“Plus competition is fiercer, not only from hundreds of millions of hungry workers in the emerging economies, but also from new technologies that will transform industries all over the world.”

Mr Lee noted that some Singaporeans may desire slower growth, but deliberately slowing growth beyond Singapore’s economic potential could have irreversible consequences.

“For Singa­pore, slow growth will mean fewer new investments. Good jobs will be scarcer, and unemployment will be higher,” he said.

“Enterprising and talented Singaporeans will be lured away by the opportunities and the incomes they can earn in other leading cities. Low-income workers will be hardest hit, just as they were each time our economy slowed down in the last decade. Over time, our confidence will be dented.”

The government is also prioritising low-income Singaporeans through skills upgrading and sharing productivity gains.

Low-income households are also not neglected.

According to Mr Lee, a low-income household will receive more than S$500,000 in transfers from the government over a lifetime.

And to boost their assets more than incomes, Mr Lee said the bottom 20 per cent of households have an average of more than S$200,000 of equity in their HDB flat.

To continue doing so, he pointed out that Singapore must have a successful thriving economy to improve the collective well-being of its people.

But Mr Lee cautioned that the Singapore government must strike a balance between raising social spending and taxes.

Expenditure has so far been 17 per cent of GDP including defence, while tax revenue is only 15 per cent of GDP.

“For decades, we have gradually reduced our income tax rates, and partially made up with indirect taxes like the GST, in order to stay competitive with other Asian economies like Hong Kong. This has helped to foster growth, and increase the resources available to strengthen our social compact,” said Mr Lee. Link

Now some more from Peter Thiel:

Most companies are killed by internal infighting, even though it may not seem like it. It’s like an autoimmune disease. The proximate cause may be something external. But the ultimate cause of destruction is internal.

When we overlay the noting of intracompany fighting on the Marx vs. Shakespeare framework, we get two theories as to why colleagues fight. Marx would say people fight internally because they wildly disagree about what the company should do, or what direction it should take. The Shakespeare version is precisely the opposite; people fight because they both want to do the same thing.

The Shakespearean dynamic is almost invariably correct. The standard version is that two or more people each want the same role in a company. People who want very different things don’t fight in well-functioning companies; they just go and own those different things. It’s people who want to do the same things who actually have something to fight about.

At PayPal, the center of conflicts tended to be the product team. David Sacks wanted the product to be a single seamless whole. That was a good approach, but a less good byproduct was that it was a recipe for product people overlapping with everyone else in the company. Product couldn’t do anything without infringing on someone else’s turf. A big part of the CEO job is stopping these kind conflicts from happening in first place. You must keep prospective combatants apart. The best way to do this is by making clear definitions and precise roles. Startups, of course, are necessarily flexible and dynamic. Roles change. You can’t just avoid internal war by siloing people away like you can in big companies. In that sense, startups are more dangerous.

PayPal solved this problem by completely redrawing the org chart every three months. By repositioning people as appropriate, conflicts could be avoided before they ever really started. The craziest specific policy that was enacted was that people were evaluated on just one single criterion. Each person had just one thing that he or she was supposed to do. And every person’s thing was different from everyone else’s. This wasn’t very popular, at least initially. People were more ambitious. They wanted to do three or four things. But instead they got to do one thing only. It proved to be a very good way to focus people on getting stuff done instead of focusing on one another. Focusing on your enemy is almost always the wrong thing to do.

Reid Hoffman:… A side note on invention and innovation: when you have an idea for a startup„ consult your network. Ask people what they think. Don’t look for flattery. If most people get it right away and call you a genius, you’re probably screwed; it likely means your idea is obvious and won’t work. What you’re looking for is a genuinely thoughtful response. Fully two thirds of people in my network thought LinkedIn was stupid idea. These are very smart people. They understood that there is zero value in a social network until you have a million users on it. But they didn’t know the secret plans that led us to believe we could pull it off. And getting to the first million users took us about 460 days. Now we grow at over 2 users per second.

Link

The PAP has enjoyed an indestructible monopoly in the field of local politics since the founding of Singapore. A portion of each member’s paycheck goes to the party fund, while other parties are denied funding from corporations and companies. Singapore is divided into constituencies, with the parties vying for control for these individual constitutencies by garnering votes during elections. Opposition party-controlled constitutencies are denied privileges granted to PAP-controlled ones, such as public apartment upgrades, new amenities and facilities. These constituencies are usually promptly broken up and assimilated into other constituencies to divide opposition support. Potong Pasir GRC is one of the few remarkable constituencies that still remain under opposition control. However, since the government hasn’t screwed up yet, few people complain about this lack of political diversity.

Malay is the official national language. The lesser-known reason for this is that the indigenous people were Malay, and this is done out of respect for our origins. The current majority of the population is Chinese (76.5%). The other races include Malays (13.8%), Indians (8.1%), and other races (1.6%).

Any place that doesn’t serve an economic, commercial or residential purpose will have green stuff planted on it. This widespread greenery is readily apparent in bird’s-eye views of the country.

The average Singaporean is well-educated, but isn’t exactly creative (a side-effect of the rigid education system). He/she can speak 2 languages: English, and his/her own native tongue.

Don’t you get me started on cost of living. The cars cost 3 times as much here. Add COE to this, and it means you’ll have to work like mad to earn enough for one. But since the public transport system is very well-developed (Point A to B anywhere on mainland island within 1.5 hours), cars usually serve as a symbol of wealth, and not much more.

Singapore has no tourist spots, no matter what your travel agency might say. Don’t come for them.

In order to ensure that overseas investors would view Singapore in a good light, the government keeps property prices high – and they keep on rising. The high cost of living in Singapore can be largely attributed to the high cost of property, and when coupled with the low wages, it means that the quality of life of average Singaporeans is low – the problem is, what can be done about it? The more I think about it, the government is doing the only thing that it can do with what it has to work with – but Singapore is in a rather precarious position at the moment. China, one of the world’s largest markets, is opening up; and it is getting rather difficult to ensure that Singapore will be chosen above it. Let me try to explain:

Singapore has next to no natural resources, it cannot function without the constant flow of goods into the country. China has all the resources that it needs to be self-sufficient – for a long time it functioned in total isolation from the rest of the world. Singapore has no minimum wage requirements, but wages have to be high enough for the population to be able to survive with such a high cost of living. China has no minimum wage requirements, and because the cost of living is one of the lowest in the world, wages don’t have to be high for the population to be able to survive on them.

China is a market which has only started emerging recently; already a sizable portion of the world’s manufactured goods are made there. Cost of living is low; wages are low; property prices are low – unfortunately for China, educational standards are also low, at least when compared to Singapore. Singapore’s possession of a highly-skilled workforce would seem to be the only distinguishing feature that the island possesses, but China can be expected to devote much effort into improving the educational standards of its workforce – what happens to Singapore then?

So what about all the criticism of Singapore? The fact is that much of what the government has been doing over the past several decades is the only thing that it can do. It has positioned itself in the only way it could, and our criticism comes from believing that there must be a better way to run a country. Take minimum wage for instance, many people believe that having a minimum wage is almost a requirement for “civilized countries.” Last time the government tried to adopt a minimum wage the entire country went into recession – it conflicted with the need for big businesses to be able to operate in Singapore at a low price.

Singapore is one country that cannot afford to go into recession, all the things that are needed for human beings to live are imported from overseas. Our water comes across from Malaysia, our meat comes mainly from Australia, etc. The government has no choice but to do things which which may not seem to be good for the people, but are good for the country itself. Making sure that thecrime rates are low, the country is clean, the people are educated are all things which are necessary in order to promote Singapore as being a prime location for big, Western businesses to set up shop here.

As for the things like compulsory National Service, the country needs to be able to defend itself – just like any country. In Singapore however, given it’s relatively small population, if joining the army was something that you only did by choice then there would be hardly enough of a force to repel any would-be invader. However, somewhere along the line the government got so preoccupied with making sure that the people would do things which were for the good of the nation, they managed to create a state where the people can barely operate without someone telling them what to do. They are trying to repair some of this damage, and they are doing it in the same way that they caused the problem in the first place, but in reverse.

Link

Abstract: Judges Taking Food Breaks Affects Legal Rulings

Are judicial rulings based solely on laws and facts? Legal formalism holds that judges apply legal reasons to the facts of a case in a rational, mechanical, and deliberative manner. In contrast, legal realists argue that the rational application of legal reasons does not sufficiently explain the decisions of judges and that psychological, political, and social factors influence judicial rulings. We test the common caricature of realism that justice is “what the judge ate for breakfast” in sequential parole decisions made by experienced judges. We record the judges’ two daily food breaks, which result in segmenting the deliberations of the day into three distinct “decision sessions.” We find that the percentage of favorable rulings drops gradually from ≈65% to nearly zero within each decision session and returns abruptly to ≈65% after a break. Our findings suggest that judicial rulings can be swayed by extranenious variables that should have no bearing on legal decisions Link

Silk Road Merchants Making $2 Million Worth of Bitcoins In Monthly Sales

 

In the year since Senator Joe Manchin called for the “audacious” drug-selling website Silk Road to be “shut down immediately,” the world’s most high-profile underground pharmacy hasn’t just survived. With $22 million in annual sales and around double the commission for the site’s owners compared with just six months ago, its black market business is booming.

In a research paper (PDF here) released earlier this month, Carnegie Mellon computer security professor Nicolas Christin has taken a crack at measuring the sales activity on Silk Road’s underground online marketplace, which runs as a “hidden service” on the Tor network and uses tough-to-trace digital Bitcoins as currency, two measures that have helped to obscure its sellers, buyers and operators from law enforcement.

His findings: the site’s number of sellers, who offer everything from cocaine to ecstasy, has jumped from around 300 in February to more than 550. Its total sales now add up to around $1.9 million a month. And its operators generate more than $6,000 a day in commissions for themselves, compared with around $2,500 in February.

But users on the site have worried in forum conversations recently that its operators may have been infiltrated by law enforcement, and that several of its high-profile sellers have disappeared.

Eight operators of another anonymous drug-sales site, the Farmer’s Market,were indicted in April, possibly after the encrypted email service Hushmail decrypted their communications and gave them to police.

Link

Predictive Political Simulation Model – Senturion – Using Algorithms and Equations On Iraq, Palestine

Used to predict compromises and coalitions in political situations by modeling stakeholders. The report applies the model to Operation Iraqi Freedom, the Iraqi Elections in Jan 2005, and the Palestinian Leadership after Yassir Arafat’s death. All data fed into the simulation was open source.


http://www.ndu.edu/CTNSP/docUploaded/DTP%2032%20Senturion.pdf

h/t Justin Boland

Wesley Clark – America’s Foreign Policy “Coup”

Iran Taking Government Websites Offline, Switching To State Controlled Internet

Iran has been the target of some high-profile attacks including Stuxnet andFlame, which have targeted Iran’s nuclear and oil facilities. Both attacks were carried out by the US government, working in conjunction with the Israeli government, though neither has ever officially confirmed it.

The Telegraph is reporting that Reza Taghipour, Iran’s telecommunications minister, said the step was being taken because sensitive intelligence was vulnerable on the internet, which he said was untrustworthy because it was controlled by “one or two” countries hostile to Iran.

“The establishment of the national intelligence network will create a situation where the precious intelligence of the country won’t be accessible to these powers,” Mr Taghipour told a conference on Sunday at Tehran’s Amir Kabir University.

Iran is planning on doing away with the world wide web completely and wants to replace it with an intranet within the next 18 months. The move to take state agencies offline is the first step in this plan.

Nima Rashedan, an Iranian cyber-security specialist based in the Czech Republic, told The Telegraph the domestic network was unlikely to be effective. “In terms of cyber security, Iran is one of the most backward countries I know,” he said. “Because of the dis-functionality of the government, I don’t think they will be able to implement it properly.” Link

See previous:


http://colonyofcommodus.wordpress.com/2012/07/21/indonesia-cock-blocks-tens-of-thousands-of-men-from-porn-on-ramadan/


http://colonyofcommodus.wordpress.com/2012/07/17/new-worm-targeting-infrastructure-companies-in-israel-iran-afghanistan-found/

They Got To Demonoid

It’s been a pretty eventful year for torrent sites. They shut down megaupload, the Swedish courts upheld the prison sentences of the Pirate Bay founders, BTJunkie closed voluntarily, and now Demonoid is down. The Pirate Bay, along with most sites, also switched from torrent files to magnet links, which are significantly harder to track or disable by law enforcement:

Feb 29 – “TPB will no longer give out links to .torrent files. The reason is simple: They’re just a waste of space and our time,” the blog post read. “Instead we’re giving you Magnet links. It’s simpler for us and no more hassle for you. It’s more resilient than .torrent files and it uses much less bandwidth for those who wants to mirror. Also, since the magnet links are just a hash, it’s on every single torrent detail page – so no one knows that you actually downloaded a file or not.”

Another major reason for the change, according to TBP is the fact it’s virtually impossible to block the magnet links without blocking the data contained within the webpage, making it harder to prevent access to the files.

The switch means the site consumes a fraction of the resources it previously required, and could even run off a decent home connection now, the TPB team stated. Link

“After a prolonged outage that lasted for nearly a week Demonoid has reportedly been audited and closed down by the Ukrainian law enforcement agency. According to reports the Ukrainian anti-cybercrime police division carried out an investigation of ColoCall – the hosting service provider for Demonoid. Servers were sealed after all the data on the servers was copied. According to ColoCall the servers haven’t been seized but, they are not operational any more. The hosting service provider is going to end the agreement with Demonoid. ‘Investigators have copied all the information from the Demonoid servers and sealed them.’ a manager from ColoCall, wishing to stay anonymous, said.”

Despite general opinion that Demonoid did not contravene Ukranian law, especially since it blocked all Ukranian IP addresses to avoid upsetting the locals, the site still attracted the attention of the authorities there. That, according to a source in the country’s government, is all down to the United States getting involved.

A source inside the Interior Ministry has informed Kommersant that the raid on Demonoid was timed to coincide with the very first trip of Deputy Prime Minister Valery Khoroshkovsky‘s trip to the United States. On the agenda: copyright infringement.

Ukraine had promised the United States that it would improve its attitude and efforts towards enforcing copyright and no doubt its Western partner will be very pleased indeed that Demonoid’s head has been presented on a platter.

Link

Thread About 10 Months Of Empirical Research On Nootropics

Replying To James G On The Intelligence Gap

First the original post from Roissy/Heartiste:

1. How is the present automation and productivity conundrum qualitatively different than ones from the past (for example, the classic case of the auto replacing the horse and carriage)? If you do not believe it is qualitatively different, explain how we escape the “zero marginal productivity” worker trap, especially in an era when human capital is shrinking due to a combination of dysgenic birth rate differentials and mass migration of unskilled poor? Note: “Humans are fungible” is not an acceptable cop-out.

2. If, say, most of the profits go to the top 10% in society, while the bottom 90% are unemployed or marginally employed, how is it exactly that those top 10% will be able to extract profits from a customer base that doesn’t have the income stream to afford more than the basic necessities? Link

That’s a hell of a statement for anyone to make. Particularly if intelligence and training and the ability to create value that comes from it is being made easier and cheaper to obtain. If Einstein was born into the middle-ages and he spent his life as a banker, would his intelligence of been wasted? In which slice of history was our intelligence and ability to create value fully employed? With all of the resources at our fingertips, do you expect this 90% to just sit on their asses and not try to create something valuable? Or perhaps you expect a dramatic French Revolution ending to play out, with escape goats hanging from lamp posts? Do you really think that turning the US counter-culture into Hezbollah is anymore than dramatic masturbation that ignores the bloody reality of actual combat?

It was classic Tom Clancy stuff, all based on the idea you make war with stuff, not people. These guys just won’t face the fact that for the guerrilla, the key weapon, the only weapon that matters, is people—and starting a guerrilla war means sentencing most of the people in your address book to a very nasty death. Link

James G replies with Henry Hazlitt on how machines change value, you can read the entire piece here.

He then says:

Intelligence is efficient cross-domain optimisation; winning at chess requires efficient optimisation, but only within an extremely narrow domain. Chess is a restricted-domain problem, and a lot of man-hours have gone into developing chess AI, yet unremarkable humans managing computers can still lick an unaided machine.

Now consider a job that even the dullest human can do: supermarket cleaning. This is very cross-domain: it requires the ability to perform such diverse motions as walking, wiping, mopping, throwing, scrubbing and lifting. It requires the ability to communicate efficiently with humans. It requires the ability to change tasks on the fly. For sure, NASA could probably design a fantastically expensive self-cleaning supermarket; but what do you do if a kid throws up on the forecourt, or the roof starts leaking, or the stock layout needs to change? There’ll always be a need for human cleaners, at least until the advent of mobile human-level AI – which probably isn’t separable from the singularity, and a general end to this epoch of human civilisation.

I generally agree with this and think that a better, more correct definition of intelligence will include an individual’s resourcefulness. They will have to not only be able to find and integrate knowledge, but have good heuristics for validating it’s authenticity. “Who benefits?” must be asked constantly.

The new economy appears to be attention, and everyone is creating new and innovative ways of stealing that attention with emotional ploys for a variety of purposes, be it to secure a political campaign or to sell chicken sandwiches.

“this world is like three-dimensional chess, made more complex by the certain knowledge that there can be two things which are both true and yet which are mutually exclusive and contradict each other.”

But the interesting thing is that it’s getting easier and cheaper to close the intelligence gap. The bottom 90% may not have economic integration yet, but many of the important things that lead to value creation are being secured. The end game may involve the creation of a currency outside of the hands of a Nation-State, which isn’t that much of a stretch given how apathetic people are about their governments. Trust and legitimacy are two of the most important things in building financial relationships. At this point if there was an actual revolution in the US, people would be more likely to use GoogleBucks versus whatever the newly established state said was the currency. Any country that tries too hard to restrict the flow of vital information is guaranteeing it’s irrelevance in the modern economy, that’s the burden of an intelligence arms race.

Right now we’re doing very simple stuff with intelligence boosting, magnetic and electrical stimulation to promote cross-hemisphere communication, as well as searching for new nootropic drugs to boost performance. We’re also mapping out what parts of the brain are responsible for thinking,

The research team, led by lead author Shinji Nishimoto and professor Jack Gallant, used functional magnetic resonance imaging (fMRI) and computational modeling to produce videos of what participants were seeing — using only information about their brain signals. This may very well be the closest humanity has ever gotten to mind-reading.

Using functional magnetic resonance imaging (fMRI), the scientists gathered data on subjects’ brain activity as they were viewing scenes. In this case, subjects reclined in the brain scanner and watched 60 second clips of Hollywood movie trailers for several hours.

As the subjects watched, the fMRI machine analyzed their brain activity and produced something called the Blood Oxygenated Level Dependent signal, or BOLD signal for short. The BOLD signal is simply a measure of blood-flow to an area of the brain. This study focused on the brain area called primary visual cortex, which is responsible for early visual processing prior to consciousness. Link

There are also computer programs that have a limited effect like n-back (brain workshop can use the original Jaeggi parameters and is free) or speed reading training software. A lot of the computer programs are either free or low cost (or can be pirated).

This is from the unofficial n-back FAQ written by Gwern:

One of the nice things about N-back is that while it may or may not improve your IQ, it may help you in other ways. WM training helps alcoholics reduce their consumption28 and increases patience in recovering stimulant addicts (cocaine & methamphetamine)29. The self-discipline or willpower of students correlates better with grades than even IQ30, WM correlates with grades and lower behavioral problems31 & WM out-predicts grades 6 years later in 5-year olds & 2 years later in older children32. WM training has been shown to help children with ADHD33 and also preschoolers without ADHD34Lucas 2008 found behavior improvements at a summer camp. Another intervention using a miscellany of ‘reasoning’ games with young (7–9 years old) poor children found a Forwards Digit Span (but not Backwards) and IQ gains, with no gain to the subjects playing games requiring “rapid visual detection and rapid motor responses”35, but it’s worth remembering that IQ scores are unreliable in childhood36 or perhaps, as an adolescent brain imaging study indicates37, they simply are much more malleable at that point. (WM training in teenagers doesn’t seem much studied but given their issues, may help; see “Beautiful Brains” or “The Trouble With Teens”.) Link

The thing about nootropics is that they are very cheap, each generally costing less than $100 for 3 months of doses. You can build your own brain stimulator for around $30 or less. Modafinil will run about $80-250 for a month’s supply, though it could be substituted for cheaper nootropics from the -racetam family of drugs. They aren’t a miracle drugs, but they are better than nothing.

Genotyping is $299 right now, which can provide you with your genetic profile and a list of diseases you are susceptible too, you have to be pretty jaded to think that isn’t a major advancement (though the treatment costs obviously vary by country, see medical tourism).

Most of these nootropics are useful for at least slowing the effects of Alzheimer’s (Piracetam is the most well documented), and an ounce of prevention is worth a pound of cure here. We haven’t seen the creation of super-expensive brain enhancements that would divide the rich and the poor, not if the poor here in America can afford iPhones and Air Jordan’s. The major exception for America is healthcare, which is a highly debated topic being milked for all of it’s political capital.

You should be able to up your raw IQ by at least one deviation with a combo of the above stuff, the guys at bulletproof exec used n-back and got 18 and 12 points boost respectively. You can’t buy any of this with foodstamps but the barriers to increasing intelligence is going way down. Access to knowledge has never been easier as well: edx, Khan academy, JOVE, Wikipedia and thepiratebay have made sure of that.

One item of interest: imagine what happens when you apply the chess tactical aid to science, I.E. having an AI design and perform experiments aided by a team of human scientists, keeping in mind that we’re getting closer to a real brain-machine interface. We can’t be sure of what the brain-machine interface or anti-aging treatments would cost, but doesn’t mean it would widen the actual gap between the rich and poor.

South Korea’s Kori-1 Nuclear Reactor Brought Back Online

This particular reactor passed it’s 30 year mark in 2007, it’s a generation II PWR reactor. Ideally we would spend more time building generation III and generation III+’s which have passive safety built into them, but those tend to be blocked by nuclear activists. Any nuclear energy is inherently unsafe to some degree, so the government waits to react to power shortages and ends up using old reactors. This time it was a heat wave in South Korea that has spiked power demands.

Hiromitsu Ino, an emeritus professor of materials science at the University of Tokyo, says that Kori-1 is not safe to operate because the weld material in the pressure vessel has degraded. “Any 50 nuclear power plants in Japan are much better than Kori-1,” he says.

Il Soon Hwang, a nuclear scientist at Seoul National University, says that a thorough government investigation found that the pressure vessel is safe. However, he adds that a more democratic process is needed to get a consensus on the reactor from local residents.

“The most serious issue is that staff in the control room decided not to report the more than ten minutes of blackout and tried to hide this accident,” says Hwang, adding that Korea’s nuclear-safety authority hasn’t explained enough to residents about what is being done to ensure that such a dangerous situation will not be repeated.

South Korea currently has 23 nuclear reactors in operation and three more under construction; about 35% of the country’s electricity comes from nuclear power, according to the IAEA. When it was first opened, the Kori-1 reactor was given an operational lifespan of 30 years, which ran out in 2007. But in 2008, following an IAEA inspection, the reactor was declared safe for another 10 years. Link

The first safety culture issue was the failure of the maintenance worker to follow procedures or the direction of his managers while testing part of the diesel generator system. It was a subsequent mistake by him that caused the initial loss of grid connection. The automatic start-up of the diesel had been prevented by a problem with its air supply valve.

The major safety culture issue then came with a decision by the manager of Kori 1 not to report the loss of power and instead to actually delete records of the incident, despite this being classified as an emergency that must be reported to regulators no matter how quickly the situation is remedied. Yonhap News reported that the manager has been dismissed after admitting to this, and plant owner Korea Hydro and Nuclear Power (KHNP) is facing prosecution for violation of its legal responsibility to report a loss of power.

The incident itself was of low consequence thanks to the redundancy of power supplies and the overall good training and prompt action by staff; what troubles the NSSC is the apparent safety culture issues it may have brought to light. The NSSC’s report said a factor in the manager’s decision not to report was pressure to have a perfectly clean operational record because the reactor had recently been given a licence extension – the first time this had happened in South Korea.

Kori 1 is a 567 MWe pressurized water reactor that came into service in April 1978 and is licensed to operate until 2017. Link


http://en.wikipedia.org/wiki/Pressurized_water_reactor

Advantages

  • PWR reactors are very stable due to their tendency to produce less power as temperatures increase; this makes the reactor easier to operate from a stability standpoint.
  • PWR turbine cycle loop is separate from the primary loop, so the water in the secondary loop is not contaminated by radioactive materials.
  • PWRs can passively scram the reactor in the event that offsite power is lost to immediately stop the primary nuclear reaction. The control rods are held by electromagnets and fall by gravity when current is lost; full insertion safely shuts down the primary nuclear reaction.
  • PWR technology is favoured by nations seeking to develop a nuclear navy, the compact reactors fit well in nuclear submarines and other nuclear ships.

Disadvantages

  • The coolant water must be highly pressurized to remain liquid at high temperatures. This requires high strength piping and a heavy pressure vessel and hence increases construction costs. The higher pressure can increase the consequences of a loss-of-coolant accident.[12] The reactor pressure vessel is manufactured from ductile steel but, as the plant is operated, neutron flux from the reactor causes this steel to become less ductile. Eventually the ductility of the steel will reach limits determined by the applicable boiler and pressure vessel standards, and the pressure vessel must be repaired or replaced. This might not be practical or economic, and so determines the life of the plant.
  • Following shutdown of the primary nuclear reaction, the fission products continue to generate decay heat at initially roughly 7% of full power level, which requires 1 to 3 years of water pumped cooling. If cooling fails during this post-shutdown period, the reactor can still overheat and meltdown. Upon loss of coolant the decay heat can raise the rods above 2200 degrees Celsius, whereupon the hot Zirconium alloy metal used for casing the nuclear fuel rods spontaneously explodes in contact with the cooling water or steam, which leads to the separation of water into its constituent elements (hydrogen and oxygen). In this event there is a high danger of hydrogen explosions, threatening structural damage and/or the exposure of highly radioactive stored fuel rods in the vicinity outside the plant in pools (approximately 15 tons of fuel is replenished each year to maintain normal PWR operation).
  • Additional high pressure components such as reactor coolant pumps, pressurizer, steam generators, etc. are also needed. This also increases the capital cost and complexity of a PWR power plant.
  • The high temperature water coolant with boric acid dissolved in it is corrosive to carbon steel (but not stainless steel); this can cause radioactive corrosion products to circulate in the primary coolant loop. This not only limits the lifetime of the reactor, but the systems that filter out the corrosion products and adjust the boric acid concentration add significantly to the overall cost of the reactor and to radiation exposure. In one instance, this has resulted in severe corrosion to control rod drive mechanisms when the boric acid solution leaked through the seal between the mechanism itself and the primary system.[13][14]
  • Natural uranium is only 0.7% uranium-235, the isotope necessary for thermal reactors. This makes it necessary to enrich the uranium fuel, which increases the costs of fuel production. If heavy water is used, it is possible to operate the reactor with natural uranium, but the production of heavy water requires large amounts of energy and is hence expensive.

America’s Fat Asses – Turning Our Greatest Weakness Into A Glorious Triumphant Strength

It’s no secret we’re the fattest nation in the world.

If you want to take a gander at how much damage this is doing both in terms of actual costs and opportunity costs, turn to the Jihad:


http://www.fatgirljihad.com/267/fatties-are-destroying-society

The medical costs were estimated to be as high as $117.2 billion, and that was in 2000. The fat lobby prevents further estimations to be made. A more recent estimate says it’s $147 billion a year, which is 9 percent of all medical spending. Everyone wants to blame the infidel insurance companies for rising health care but a lot of that blame should go on the fatties, the biggest public burden on American citizens.

While the nuclear family and competitive capitalism has increased the cost of childbirth making it less attractive for the middle class, it also true that fat women lose their fertility much faster than normal ones. Their children also suffer more complications than normal weight women, further increasing the expense and depriving society of valuable human capital:

“Consuming a diet high in fat causes damage to eggs stored in female ovaries. As a result, when fertilised these eggs are not able to undergo normal, healthy development into embryos,” Ms Minge says. Source

Obesity is a known risk factor for ovulation problems, but it also contributes to infertility in women who ovulate normally, new research shows Women in the study who were severely obese were 43% less likely to achieve pregnancy than normal-weight women or women who were considered overweight but not obese during the yearlong study. Source

Studies indicate obesity doubles a woman’s chances of having a baby with neural tube defects, and even adequate folic acid intake does not fully protect against the increase in risk. Compared with normal-weight women, obese women have a greater risk of developing complications during pregnancy. Their babies are also more likely to be admitted to neonatal intensive care units. In a report published today, the public affairs committee of the Teratology Society officially declared obesity a pregnancy risk factor, adding that women should be told about the risk in the same way that they are warned about the dangers of smoking and drinking alcohol during pregnancy. The Teratology Society studies the causes and processes of birth defects to improve diagnosis and prevention. Source

 Imagine being so fat that you poison your own child in your womb.

I propose we apply the can-do American attitude to obesity, and turn one of our greatest weaknesses into a great strength. Until pre-commitment devices can force people to stop shoveling crap down their throats, we’re stuck with less techno-utopian methods, like plastic surgery.

Enter the Brazilian Buttlift & Breast Fat Transfer:

About six months ago, and because of the reabsorption dilemma, the Viel brothers – who have been carrying out forms of fat transfer surgery for 18 years – decided to offer the recently developed PIFT, which had been proving successful in America.

During the two-hour procedure, liposuction is used to remove fat from the patient’s stomach or thigh area.

‘Traditional liposuction involves the surgeon manually breaking up the fat with a cannula – a tube that removes fluid – often rupturing blood vessels within the fat, causing bruising, bleeding and possibly nerve damage,’ says Dr Roberto Viel.

‘So we use Vaser Lipo, a machine that uses ultrasound waves to liquidise the fat, allowing us to remove fat cells while causing minimal damage.’

Dr Roberto Viel says: ‘We believe the platelets slow the reabsorption process. Traditional fat transfers last approximately six months in total and require top-ups once a month. The PIFT enhancement should last for up to two years.

‘Fat can be refrigerated safely for up to two years before it starts to decompose, so we take a little more than is needed. We expect patients to have a first top-up at eight weeks and then one every six months, or until the supply runs out. After that, we would need to repeat the whole procedure. Link

 See, they have an excuse for getting fat now. The spare parts are actually useful, not just for making soap like in Fight Club.

This process is not without complications from the ultrasonic lipo, however there is no better place to test it than on women who have virtually no sexual market value:

Fat injection consists of mainly dead cells, with a disputed amount of living cells (Our research showed 20-25% alive, other studies have shown as low as 3% if you look at the ability of the cells to “breathe” (metabolize).

Those dead cells, when injected into the breasts, either are dissolved away by the body’s white blood cells, or form chronic inflammatory reacitons and are walled off (granulomatous reactions) or form fatty cysts. Lumpiness can also occur with the above problems as well.

It is the walling off process that causes the most worry. Calcium formation is common in granulomatous reactions. Calcium is what clues off mammographers to the presence of cancer. So will there be false positive mammograms for cancer in patients who have this technique? We’ll have to wait and see.

In five years’ time, we will have our answers. Until then, patients receiving this technique will take a certain risk. We won’t be using this technique in our practice until more data are available.

UAL, by the way, (and also the laser) melts and destroys fat cells with ultrasound waves (or laser heat). This technique would guarantee only dead cells are introduced. Lintk

As for the classic hip-to-waist ratio and fat-but-flat ass syndrome, the brazilian butt lift provides solutions. Behold an entire gallery of sort of safe for work images:


http://www.realself.com/brazilian-butt-lift/before-and-after-photos

It not only lifts but provides an eye pleasing hip to waist ratio, for the appearance of a coke bottle figure.

We must learn from Korea, and begin augmenting our own not so passable women.

One way or another, the sexual marketplace is going to be completely overturned in the coming decade.

P.S. The sexbots are coming: 
http://www.projectaiko.com/faq.html

Correlating Dreams To Geomagnetic Activity

Lipnicki looked up daily geomagnetic activity in Perth, Australia – his home at the time. A scale called the k-index quantifies local geomagnetic activity, and he included only days that scored on the extremes of this index. This whittled his dream log down to 66 days of low geomagnetic activity and 70 days of high activity.

Using these figures, Lipnicki uncovered a statistical correlation between dream bizarreness and geomagnetic activity, with freakier dreams occurring on days with the least geomagnetic activity.

Of course, this correlation doesn’t prove that the Earth’s magnetic activity determines whether we dream of a mundane day at the park or something more like an LSD trip. But a larger and better controlled study may be worth pursuing, Lipnicki says. “At this stage, it’s just putting the idea out there.” Link

Noopept – New Russian -racetam Nootropic

 

Haven’t tried this one yet, wikipedia says it’s up to 1000 times stronger than piracetam. It’s also very cheap on amazon.com, but I already have a regime I’m on so I won’t be going for it in the near future. Choline supplement is recommended to go with it.

 

How To Think Like A Slave

All of this is wrapped around one simple idea, that some people naturally want to serve and put someone else’s needs above their own.

III. You shall make your mission, not your woman, your priority

Forget all those romantic cliches of the leading man proclaiming his undying love for the woman who completes him. Despite whatever protestations to the contrary, women do not want to be “The One” or the center of a man’s existence. They in fact want to subordinate themselves to a worthy man’s life purpose, to help him achieve that purpose with their feminine support, and to follow the path he lays out. You must respect a woman’s integrity and not lie to her that she is “your everything”. She is not your everything, and if she is, she will soon not be anymore. Link

Bonding and attachment occur to both the Dominant and the submissive, though the intensity appears to be stronger on the part of the submissive in most cases. In many ways the Dominant penetrates the light shielding of the submissive. This occurs often with the willful aid of the submissive. A submissive ‘seeking’ a Dominant partner will frequently ‘open’ or lower their outer barriers or shields in the necessary effort to ‘align’ with the potential mate. To some extent there appears to be a period of time where the Dominant and submissive attempt to ‘match frequencies’, rather like a radio signal.

For a submissive to ‘detach’ from a strong Dominant is quite difficult even when both submissive and Dominant willfully agree to separate. They must be able to blockade the ‘Voice’. This is generally impossible if the submissive remains in physical proximity to the Dominant. Severance of contact, physical or phone, may be necessary for a considerable time frame for the ‘programming’ to dissipate and the shielding or buffers of the submissive to be reinstated. That submissive will continue to be susceptible to the Dominant as those access corridors may continue to exist over the duration of that submissive’s life. However, when the submissive attaches to a new Dominant, that new Dominant’s voice will form a shield which makes it virtually impossible for the submissive to ‘hear’ other Dominant voices in the same way. In a sense the submissive would have to ‘hear through’ the filtered shielding of their Dominant. The submissive will continue to be aware of or recognize other Dominant’s by their emoting presence but will in most cases not be vulnerable to being effected by them.

However, it is possible for a submissive who is bonded and attached to be taken by a Dominant who is stronger than their Dominant. This occurrence is quite rare as it is considered extremely bad form for a Dominant to trespass upon another Dominant’s submissive. In general within the community a Dominant will actively ‘not emote or project energy’ at or toward any submissive not their own. Link

Unlike sub-space, the dominant does not lose control of their thoughts or actions in most cases. The opposite occurs instead. Those who have described dom-space say it is like an intensifying of what is going on in a session. Some say they can feel the presence of the submissive, his/her heartbeat, breathing, and even thoughts. Some have described it as a mental bonding in which the dominant and submissive reach a place together in which words are no longer necessary and pure instinct takes over.

For some it is rather mild, for others they describe it as being almost psychic to the point where they can “see” the submissive and feel them even with their eyes closed. Link

It cannot be said that all slaves have a superior intellect, nor can it be said (truthfully) that all slaves are stupid. Logically speaking since both kinds of human intelligence exist, the same variations are found in slaves. However, less intelligent slaves have been rare in my experiences. I have seen slaves pretending to be stupid due to some mistaken belief that it makes them a better slave. This is not true. Often, these are people who are new to bdsm and master/slave with little experience. Slaves must be intelligent because they are often relied upon to handle many of life’s day-to-day aspects and to do so without constant supervision and directions. This requires problem-solving skills and extensive knowledge of how their owner prefers things to be. Slaves also need strong observation skills so they can learn what pleases their owner without them having to explain every tiny detail. Slaves are expected to learn quickly and to put their knowledge into practice on a consistent basis. Intelligence is required for these things and more.
A slave’s intelligence coupled with their strengths, individuality and self-reliance direct effects their ability to identify their own wants and needs and to separate them properly. Speaking on an basic level, people only need those things that sustain life (food, clothing, shelter and intellectual stimulation), and everything else is a want.
A slave must be able to tell the difference between things they truly need and things they want. This can be very hard to do, but with practice can be done. Someone with little intelligence, minimal self-awareness, and a lack of mental or emotional strength has a very hard time differentiating between the two. A slave who sees everything as an urgent need quickly frustrates their owner. This puts the slave’s focus on them selves over their owner and m/s will not work that way.  Link

There is a level of acceptance of the dominant’s behavior that can be more intense and widespread than many submissives would allow. For example, a dominant wants to bring in a third to the relationship. A submissive may demand certain criteria be met before they allow ( yes, allow) such to occur, whereas a slave may say “It is not up to me, if this is what Master wants, so be it” and quietly accept this new change. To some this kind of thought process is considered wrong or somehow brought out by abuse, but this is not necessarily true. A slave thrives on the absolute fact, that they literally have no control over the relationship or what will occur within it, whereas a submissive often retains some level of control in the relationship. The thought process focuses solely on what would make the master/mistress happiest and how the slave can be most pleasing to them. Subs tend to think of themselves and their own pleasure in addition to that of their dominant. Slaves work very hard to put themselves second in all the things and their owners first. To them, this is what comes with being a slave and submitting completely. Slaves put forth a lot of effort in achieving an inner peace with their chosen position. With this peace comes acceptance of themselves, and a quiet sense of contentment. They view pride, arrogance and other such emotions as negative and unbecoming in a slave.

A slave’s behavior is different from a submissive as well. If you listen to slaves talk about their behavior (or watch them), they often speak of being quietly accepting, in control of themselves at all times, formal, and other such things. There seems to be more focus on how the slave behaves at any given moment, with less leeway. In many slave relationships, the slave is required to use an honorific at all times, and couldn’t conceive of calling their master/mistress by any other name. Most slaves find yelling, tantrums, fits, or any other out of control behavior on the part of a slave to be reprehensible and deserving of severe punishment. Slaves put a lot of emphasis on their behavior and how they react to their dominant. They hold themselves to a high level of self-control. They require of themselves to have a pleasing demeanor as much as possible. They see no room for bratting behavior, any form of topping from the bottom, or any other form of manipulating the dominant. They see bratting as topping from the bottom, whining, cajoling or making requests after the initial denial as manipulative behavior that focuses on the slave’s needs/desires instead of the dominant’s and thus not proper. They look down on any behavior that is perceived as designed to force the dominant to meet a need of the slave, rather than the slave focusing on the dom’s needs. Link

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