nhaliday + automation + org:rec   20

Information Processing: US Needs a National AI Strategy: A Sputnik Moment?
FT podcasts on US-China competition and AI: http://infoproc.blogspot.com/2018/05/ft-podcasts-on-us-china-competition-and.html

A new recommended career path for effective altruists: China specialist: https://80000hours.org/articles/china-careers/
Our rough guess is that it would be useful for there to be at least ten people in the community with good knowledge in this area within the next few years.

By “good knowledge” we mean they’ve spent at least 3 years studying these topics and/or living in China.

We chose ten because that would be enough for several people to cover each of the major areas listed (e.g. 4 within AI, 2 within biorisk, 2 within foreign relations, 1 in another area).

AI Policy and Governance Internship: https://www.fhi.ox.ac.uk/ai-policy-governance-internship/

https://www.fhi.ox.ac.uk/deciphering-chinas-ai-dream/
https://www.fhi.ox.ac.uk/wp-content/uploads/Deciphering_Chinas_AI-Dream.pdf
Deciphering China’s AI Dream
The context, components, capabilities, and consequences of
China’s strategy to lead the world in AI

Europe’s AI delusion: https://www.politico.eu/article/opinion-europes-ai-delusion/
Brussels is failing to grasp threats and opportunities of artificial intelligence.
By BRUNO MAÇÃES

When the computer program AlphaGo beat the Chinese professional Go player Ke Jie in a three-part match, it didn’t take long for Beijing to realize the implications.

If algorithms can already surpass the abilities of a master Go player, it can’t be long before they will be similarly supreme in the activity to which the classic board game has always been compared: war.

As I’ve written before, the great conflict of our time is about who can control the next wave of technological development: the widespread application of artificial intelligence in the economic and military spheres.

...

If China’s ambitions sound plausible, that’s because the country’s achievements in deep learning are so impressive already. After Microsoft announced that its speech recognition software surpassed human-level language recognition in October 2016, Andrew Ng, then head of research at Baidu, tweeted: “We had surpassed human-level Chinese recognition in 2015; happy to see Microsoft also get there for English less than a year later.”

...

One obvious advantage China enjoys is access to almost unlimited pools of data. The machine-learning technologies boosting the current wave of AI expansion are as good as the amount of data they can use. That could be the number of people driving cars, photos labeled on the internet or voice samples for translation apps. With 700 or 800 million Chinese internet users and fewer data protection rules, China is as rich in data as the Gulf States are in oil.

How can Europe and the United States compete? They will have to be commensurately better in developing algorithms and computer power. Sadly, Europe is falling behind in these areas as well.

...

Chinese commentators have embraced the idea of a coming singularity: the moment when AI surpasses human ability. At that point a number of interesting things happen. First, future AI development will be conducted by AI itself, creating exponential feedback loops. Second, humans will become useless for waging war. At that point, the human mind will be unable to keep pace with robotized warfare. With advanced image recognition, data analytics, prediction systems, military brain science and unmanned systems, devastating wars might be waged and won in a matter of minutes.

...

The argument in the new strategy is fully defensive. It first considers how AI raises new threats and then goes on to discuss the opportunities. The EU and Chinese strategies follow opposite logics. Already on its second page, the text frets about the legal and ethical problems raised by AI and discusses the “legitimate concerns” the technology generates.

The EU’s strategy is organized around three concerns: the need to boost Europe’s AI capacity, ethical issues and social challenges. Unfortunately, even the first dimension quickly turns out to be about “European values” and the need to place “the human” at the center of AI — forgetting that the first word in AI is not “human” but “artificial.”

https://twitter.com/mr_scientism/status/983057591298351104
https://archive.is/m3Njh
US military: "LOL, China thinks it's going to be a major player in AI, but we've got all the top AI researchers. You guys will help us develop weapons, right?"

US AI researchers: "No."

US military: "But... maybe just a computer vision app."

US AI researchers: "NO."

https://www.theverge.com/2018/4/4/17196818/ai-boycot-killer-robots-kaist-university-hanwha
https://www.nytimes.com/2018/04/04/technology/google-letter-ceo-pentagon-project.html
https://twitter.com/mr_scientism/status/981685030417326080
https://archive.is/3wbHm
AI-risk was a mistake.
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february 2018 by nhaliday
Yale Law Journal - Amazon's Antitrust Paradox
This Note argues that the current framework in antitrust—specifically its pegging competition to “consumer welfare,” defined as short-term price effects—is unequipped to capture the architecture of market power in the modern economy. We cannot cognize the potential harms to competition posed by Amazon’s dominance if we measure competition primarily through price and output. Specifically, current doctrine underappreciates the risk of predatory pricing and how integration across distinct business lines may prove anticompetitive. These concerns are heightened in the context of online platforms for two reasons. First, the economics of platform markets create incentives for a company to pursue growth over profits, a strategy that investors have rewarded. Under these conditions, predatory pricing becomes highly rational—even as existing doctrine treats it as irrational and therefore implausible. Second, because online platforms serve as critical intermediaries, integrating across business lines positions these platforms to control the essential infrastructure on which their rivals depend. This dual role also enables a platform to exploit information collected on companies using its services to undermine them as competitors.

https://www.theatlantic.com/business/archive/2017/06/why-amazon-bought-whole-foods/530652/
https://gnxp.nofe.me/2017/06/17/the-distribution-channel-comes-to-you/
https://www.forbes.com/sites/panosmourdoukoutas/2017/06/18/amazon-whole-foods-deal-is-bad-news-for-store-cashiers-and-the-fight-for-15-minimum-wage/
Amazon Must Be Stopped: https://newrepublic.com/article/119769/amazons-monopoly-must-be-broken-radical-plan-tech-giant

Amazon Will Go To Denver: https://gnxp.nofe.me/2017/09/10/amazon-will-go-to-denver/
https://www.nytimes.com/interactive/2017/09/09/upshot/where-should-amazon-new-headquarters-be.html
http://www.paddypower.com/bet?action=go_event&category=SPECIALS&ev_class_id=45&ev_type_id=22711&ev_id=13023353&force_racing_css=&ev_desc=Where%20will%20Amazon%20build%20their%20Second%20Headquarters?
https://www.seattletimes.com/business/amazon/this-city-hall-brought-to-you-by-amazon/
Real things cities are offering to get Amazon HQ2
*Chicago: Let Amazon keep employees' income tax
*SoCal: Give away $100M in land
*Boston: City employees working just for Amazon
*Fresno: Let Amazon decide how to spend tax dollars

https://www.wsj.com/articles/rules-of-engagement-how-cities-are-courting-amazons-new-headquarters-1522661401
Washington, D.C., might have a leg up, having already hosted Amazon Chief Executive Jeff Bezos for visits when he considered acquiring the Washington Post, which he now owns. Mr. Bezos also purchased the former Textile Museum in Washington’s Kalorama neighborhood for $23 million in 2016 and is currently turning it into a private residence.

28-year-old makes millions buying from Walmart, selling on Amazon: https://www.msn.com/en-us/money/companies/28-year-old-makes-millions-buying-from-walmart-selling-on-amazon/ar-AAupB8i

https://twitter.com/DKThomp/status/954028684788273153
https://twitter.com/hyperplanes/status/954020562262781952
https://archive.is/uNk1p
https://archive.is/phiTA
Thread: Why Amazon’s HQ2 is going to Fairfax County

https://www.bloomberg.com/view/articles/2018-01-19/amazon-is-sure-acting-like-it-s-going-to-pick-the-d-c-area

https://twitter.com/NeonPeonage/status/955436146183561216
https://archive.is/lJeaz
walmart is the only entity that has even a slim chance at preventing jeff bezos from intermediating every commodity exchange in the world, u must respect

https://twitter.com/holerepairer/status/955469951833436160
https://archive.is/ig58T
"I tried to save you, but you didn't listen. Now you'll have to face Him alone..."

What Amazon does to wages: https://www.economist.com/news/united-states/21735020-worlds-largest-retailer-underpaying-its-employees-what-amazon-does-wages
Is the world’s largest retailer underpaying its employees?

Flat or falling industry wages are common in the cities and towns where Amazon opens distribution centres, according to an analysis by The Economist. Government figures show that after Amazon opens a storage depot, local wages for warehouse workers fall by an average of 3%. In places where Amazon operates, such workers earn about 10% less than similar workers employed elsewhere.

What Amazon Does to Poor Cities: https://www.theatlantic.com/business/archive/2018/02/amazon-warehouses-poor-cities/552020/
The debate over Amazon’s HQ2 obscures the company’s rapid expansion of warehouses in low-income areas.

The Facts Behind Trump’s Tweets on Amazon, Taxes and the Postal Service: https://www.nytimes.com/2018/03/29/us/politics/trump-amazon-post-office-fact-check.html

If Workers Slack Off, the Wristband Will Know. (And Amazon Has a Patent for It.): https://www.nytimes.com/2018/02/01/technology/amazon-wristband-tracking-privacy.html
https://www.npr.org/sections/thetwo-way/2018/02/01/582370715/wrist-watching-amazon-patents-system-to-track-guide-employees-hands
https://boingboing.net/2018/02/02/amazon-patent-could-lead-to-do.html
https://www.jwz.org/blog/2018/02/amazon-patents-wristbands-shock-collars-designed-to-steer-employees-movements/

auto-management -> automation dystopia: http://marshallbrain.com/manna.htm

Amazon’s vision for the future: delivery drone beehives in every city: https://www.theverge.com/2017/6/23/15860668/amazon-drone-delivery-patent-city-centers
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june 2017 by nhaliday
How important was colonial trade for the rise of Europe? | Economic Growth in History
The latter view became the orthodoxy among economists and economic historians after Patrick O’Brien’s 1982 paper, which in one of many of Patrick’s celebrated phrases, claims that “”the periphery vs peripheral” for Europe. He concludes the paper by writing:

“[G]rowth, stagnation, and decay everywhere in Western Europe can be explained mainly by reference to endogenous forces. … for the economic growth of the core, the periphery was peripheral.”

This is the view that remarkable scholars such as N. Crafts, Deirdre McCloskey, or Joel Mokyr repeat today (though Crafts would argue cotton imports would have mattered in a late stage, and my reading of Mokyr is that he has softened his earlier view from the 1980s a little, specifically in the book The Enlightened Economy.) Even recently, Brad deLong has classifyied O’Brien’s 1982 position as “air tight”.

Among economists and economic historians more on the economics side, I would say that O’Brien’s paper was only one of two strong hits against the “Worlds-System” and related schools of thoughts of the 1970s, the other hit being Solow’s earlier conclusion that TFP growth (usually interpreted as technology, though there’s more to it than that) has accounted for economic growth a great deal more than capital accumulation, which is what Hobsbawm and Wallerstein, in their neo-Marxist framework, emphasize.

https://twitter.com/tcjfs/status/890034395456974848
A friend tonight, on the third world and the first world, and our relationships to the past: "They don't forget, and we don't remember."
https://twitter.com/edwest/status/872337163458932736
imo the European Intifada is being fueled by anti-Europeanism & widely taught ideas like this one discussed - Europe stole its riches

https://www.thinkpragati.com/opinion/1863/dont-blame-empire/
The British Empire was cruel, rapacious and racist. But contrary to what Shashi Tharoor writes in An Era Of Darkness, the fault for India’s miseries lies upon itself.

Indeed, the anti-Tharoor argument is arguably closer to the truth, because the British tended to use the landlord system in places where landlords were already in place, and at times when the British were relatively weak and couldn’t afford to upset tradition. Only after they became confident in their power did the British start to bypass the landlord class and tax the cultivators directly. King’s College London historian Jon Wilson (2016) writes in India Conquered, “Wherever it was implemented, raiyatwar began as a form of military rule.” Thus the system that Tharoor implicitly promotes, and which is associated with higher agricultural productivity today, arose from the very same colonialism that he blames for so many of India’s current woes. History does not always tell the parables that we wish to hear.

...

India’s share of the world economy was large in the eighteenth century for one simple reason: when the entire world was poor, India had a large share of the world’s population. India’s share fell because with the coming of the Industrial Revolution, Europe and North America saw increases of income per capita to levels never before seen in all of human history. This unprecedented growth cannot be explained by Britain’s depredations against India. Britain was not importing steam engines from India.

The big story of the Great Divergence is not that India got poorer, but that other countries got much richer. Even at the peak of Mughal wealth in 1600, the best estimates of economic historians suggest that GDP per capita was 61% higher in Great Britain. By 1750–before the battle of Plassey and the British takeover–GDP per capita in Great Britain was more than twice what it was in India (Broadberry, Custodis, and Gupta 2015). The Great Divergence has long roots.

Tharoor seems blinded by the glittering jewels of the Maharajas and the Mughals. He writes with evident satisfaction that when in 1615 the first British ambassador presented himself to the court of Emperor Jehangir in Agra, “the Englishman was a supplicant at the feet of the world’s mightiest and most opulent monarch.” True; but the Emperor’s opulence was produced on the backs of millions of poor subjects. Writing at the same time and place, the Dutch merchant Francisco Pelsaert (1626) contrasted the “great superfluity and absolute power” of the rich with “the utter subjection and poverty of the common people–poverty so great and miserable that the life of the people can be depicted…only as the home of stark want and the dwelling-place of bitter woe.” Indian rulers were rich because the empire was large and inequality was extreme.

In pre-colonial India the rulers, both Mughal and Maratha, extracted _anywhere from one-third to one half of all gross agricultural output_ and most of what was extracted was spent on opulence and the armed forces, not on improving agricultural productivity (Raychaudhuri 1982).

...

The British were awful rulers but the history of India is a long story of awful rulers (just as it is for most countries). Indeed, by Maddison’s (2007) calculations _the British extracted less from the Indian economy than did the Mughal Dynasty_. The Mughals built their palaces in India while the British built most of their palaces in Britain, but that was little comfort to the Indian peasant who paid for both. The Kohinoor diamond that graces the cover of Inglorious Empire is a telling symbol. Yes, it was stolen by the British (who stole it from the Sikhs who stole it from the Afghanis who stole it from the Mughals who stole it from one of the kings of South India). But how many Indians would have been better off if this bauble had stayed in India? Perhaps one reason why more Indians didn’t take up arms against the British was that for most of them, British rule was a case of meet the new boss, same as the old boss.

more for effect on colonies: https://pinboard.in/u:nhaliday/b:4b0128372fe9

INDIA AND THE GREAT DIVERGENCE: AN ANGLO-INDIAN COMPARISON OF GDP PER CAPITA, 1600-1871: http://eh.net/eha/wp-content/uploads/2013/11/Guptaetal.pdf
This paper provides estimates of Indian GDP constructed from the output side for the pre-1871 period, and combines them with population estimates to track changes in living standards. Indian per capita GDP declined steadily during the seventeenth and eighteenth centuries before stabilising during the nineteenth century. As British living standards increased from the mid-seventeenth century, India fell increasingly behind. Whereas in 1600, Indian per capita GDP was over 60 per cent of the British level, by 1871 it had fallen to less than 15 per cent. As well as placing the origins of the Great Divergence firmly in the early modern period, the estimates suggest a relatively prosperous India at the height of the Mughal Empire, with living standards well above bare bones subsistence.

https://twitter.com/pseudoerasmus/status/832288984009207810
but some of the Asian wage data (especialy India) have laughably small samples (see Broadberry & Gupta)

How profitable was colonialism for various European powers?: https://www.reddit.com/r/AskHistorians/comments/p1q1q/how_profitable_was_colonialism_for_various/

How did Britain benefit from colonising India? What did colonial powers gain except for a sense of power?: https://www.quora.com/How-did-Britain-benefit-from-colonising-India-What-did-colonial-powers-gain-except-for-a-sense-of-power
The EIC period was mostly profitable, though it had recurring problems with its finances. The initial voyages from Surat in 1600s were hugely successful and brought profits as high as 200%. However, the competition from the Dutch East India Company started to drive down prices, at least for spices. Investing in EIC wasn’t always a sure shot way to gains - British investors who contributed to the second East India joint stock of 1.6 million pounds between 1617 and 1632 ended up losing money.

...

An alternate view is that the revenues of EIC were very small compared to the GDP of Britain, and hardly made an impact to the overall economy. For instance, the EIC Revenue in 1800 was 7.8m pounds while the British GDP in the same period was 343m pounds, and hence EIC revenue was only 2% of the overall GDP. (I got these figures from an individual blog and haven’t verified them).

...

The British Crown period - The territory of British India Provinces had expanded greatly and therefore the tax revenues had grown in proportion. The efficient taxation system paid its own administrative expenses as well as the cost of the large British Indian Army. British salaries were lucrative - the Viceroy received £25,000 a year, and Governors £10,000 for instance besides the lavish amenities in the form of subsidized housing, utilities, rest houses, etc.

...

Indian eminent intellectual, Dadabhai Naoroji wrote how the British systematically ensured the draining of Indian economy of its wealth and his theory is famously known as ‘Drain of Wealth’ theory. In his book 'Poverty' he estimated a 200–300 million pounds loss of revenue to Britain that is not returned.

At the same time, a fair bit of money did go back into India itself to support further colonial infrastructure. Note the explosion of infrastructure (Railway lines, 100+ Cantonment towns, 60+ Hill stations, Courthouses, Universities, Colleges, Irrigation Canals, Imperial capital of New Delhi) from 1857 onward till 1930s. Of course, these infrastructure projects were not due to any altruistic motive of the British. They were intended to make their India empire more secure, comfortable, efficient, and to display their grandeur. Huge sums of money were spent in the 3 Delhi Durbars conducted in this period.

So how profitable was the British Crown period? Probably not much. Instead bureaucracy, prestige, grandeur, comfort reigned supreme for the 70,000 odd British people in India.

...

There was a realization in Britain that colonies were not particularly economically beneficial to the home economy. … [more]
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june 2017 by nhaliday
China Overtakes US in Scientific Articles, Robots, Supercomputers - The Unz Review
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may 2017 by nhaliday
‘How dare you work on whites’: Professors under fire for research on white mortality - The Washington Post
the paper: http://www.pnas.org/content/112/49/15078

https://www.theatlantic.com/business/archive/2017/03/angus-deaton-qa/518880/
The Nobel laureate Angus Deaton discusses extreme poverty, opioid addiction, Trump voters, robots, and rent-seeking.

co-authored the "dead white people paper" w/ wife

http://andrewgelman.com/2017/03/23/mortality-rate-trends-age-ethnicity-sex-state/
point about expansion of education seems important
https://spottedtoad.wordpress.com/2016/01/17/correlates-of-middle-aged-white-mortality/

https://www.washingtonpost.com/news/wonk/wp/2017/03/24/the-disease-killing-white-americans-goes-way-deeper-than-opioids/
https://www.wsj.com/articles/death-rates-rise-for-wide-swath-of-white-adults-1490240740
http://www.newyorker.com/news/benjamin-wallace-wells/the-despair-of-learning-that-experience-no-longer-matters
https://www.nytimes.com/interactive/2017/09/02/upshot/fentanyl-drug-overdose-deaths.html

Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election.: https://www.ncbi.nlm.nih.gov/pubmed/28817322
Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump's vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016.

DESPAIR AND DECADES-LONG DEINDUSTRIALIZATION: https://spottedtoad.wordpress.com/2018/01/10/despair-and-decades-long-deindustrialization/

WE’VE BEEN HERE BEFORE: https://spottedtoad.wordpress.com/2018/01/12/weve-been-here-before/
A concept that seems to me to be missing from the Ruhm vs. Case/Deaton debate on “deaths of despair” is that of social crisis.

This seems to me to be the case for American Indians, who began experiencing what looks like a similar social crisis to non-college educated whites about a decade beforehand: rapidly escalating rates of suicide, drug overdoses, exit from the workforce, and even alcohol-related deaths (which were already very high for American Indians well before 2000, of course):

...

The common thread here would seem to be replacement of workforce participation with transfer payments, particularly cash transfers (since, my own reservations about Medicaid aside, increases in in-kind payments and SNAP since the 80s haven’t seemed to exert the same disruptive effect.) As I’ve said before, it seems very likely to me that technology will push an ever larger segment of society out of the economy, sooner or later, but how to prevent this from tearing apart our social fabric I don’t know.

Once It Was Overdue Books. Now Librarians Fight Overdoses.: https://www.nytimes.com/2018/02/28/nyregion/librarians-opioid-heroin-overdoses.html
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april 2017 by nhaliday
Skills, Tasks and Technologies: Implications for Employment and Earnings
A central organizing framework of the voluminous recent literature studying changes in the returns to skills and the evolution of earnings inequality is what we refer to as the canonical model, which elegantly and powerfully operationalizes the supply and demand for skills by assuming two distinct skill groups that perform two different and imperfectly substitutable tasks or produce two imperfectly substitutable goods. Technology is assumed to take a factor-augmenting form, which, by complementing either high or low skill workers, can generate skill biased demand shifts. In this paper, we argue that despite its notable successes, the canonical model is largely silent on a number of central empirical developments of the last three decades, including: (1) significant declines in real wages of low skill workers, particularly low skill males; (2) non-monotone changes in wages at different parts of the earnings distribution during different decades; (3) broad-based increases in employment in high skill and low skill occupations relative to middle skilled occupations (i.e., job 'polarization'); (4) rapid diffusion of new technologies that directly substitute capital for labor in tasks previously performed by moderately-skilled workers; and (5) expanding offshoring opportunities, enabled by technology, which allow foreign labor to substitute for domestic workers in specific tasks. Motivated by these patterns, we argue that it is valuable to consider a richer framework for analyzing how recent changes in the earnings and employment distribution in the United States and other advanced economies are shaped by the interactions among worker skills, job tasks, evolving technologies, and shifting trading opportunities. We propose a tractable task-based model in which the assignment of skills to tasks is endogenous and technical change may involve the substitution of machines for certain tasks previously performed by labor. We further consider how the evolution of technology in this task-based setting may be endogenized. We show how such a framework can be used to interpret several central recent trends, and we also suggest further directions for empirical exploration.

https://krugman.blogs.nytimes.com/2017/08/04/structural-unemployment-yes-it-was-humbug/
study  acemoglu  economics  models  trends  labor  automation  education  human-capital  🎩  winner-take-all  econometrics  planning  compensation  capital  polarization  stylized-facts  heavy-industry  multi  news  org:rec  krugman  regularizer 
february 2017 by nhaliday
Will Your Job Be Done By A Machine? : Planet Money : NPR
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january 2017 by nhaliday
China invents the digital totalitarian state | The Economist
PROGRAMMING CHINA: The Communist Party’s autonomic approach to managing state security: https://www.merics.org/sites/default/files/2017-12/171212_China_Monitor_44_Programming_China_EN__0.pdf
- The Chinese Communist Party (CCP) has developed a form of authoritarianism that cannot be measured through traditional political scales like reform versus retrenchment. This version of authoritarianism involves both “hard” and “soft” authoritarian methods that constantly act together.
...
- To describe the social management process, this paper introduces a new analytical framework called China’s “Autonomic Nervous System” (ANS). This approach explains China’s social management process through a complex systems engineering framework. This framework mirrors the CCP’s Leninist way of thinking.
- The framework describes four key parts of social management, visualized through ANS’s “self-configuring,” “self-healing,” “self-optimizing” and “self-protecting” objectives.

China's Social Credit System: An Evolving Practice of Control: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3175792

https://news.ycombinator.com/item?id=12771302
https://twitter.com/Aelkus/status/873584698655735808
http://infoproc.blogspot.com/2017/06/face-recognition-applied-at-scale-in.html
The Chinese government is not the only entity that has access to millions of faces + identifying information. So do Google, Facebook, Instagram, and anyone who has scraped information from similar social networks (e.g., US security services, hackers, etc.).

In light of such ML capabilities it seems clear that anti-ship ballistic missiles can easily target a carrier during the final maneuver phase of descent, using optical or infrared sensors (let alone radar).

https://www.wsj.com/articles/the-all-seeing-surveillance-state-feared-in-the-west-is-a-reality-in-china-1498493020
https://twitter.com/0xa59a2d/status/880098750009659392
https://archive.is/zHmmE
China goes all-in on technology the US is afraid to do right.
US won't learn its lesson in time for CRISPR or AI.

https://www.acast.com/theeconomistasks/theeconomistasks-howdoyouwintheairace-
Artificial intelligence is developing fast in China. But is it likely to enable the suppression of freedoms? One of China's most successful investors, Neil Shen, has a short answer to that question. Also, Chinese AI companies now have the potential to overtake their Western rivals -- we explain why. Anne McElvoy hosts with The Economist's AI expert, Tom Standage

the dude just stonewalls when asked at 7:50, completely zipped lips

http://www.indiatimes.com/technology/science-and-future/this-scary-chinese-surveillance-video-is-serious-cause-for-concern-but-just-not-why-you-think-330530.html
What you’re looking at above is the work of SenseTime, a Chinese computer vision startup. The software in question, called SenseVideo, is a visual scenario analytics system. Basically, it can analyse video footage to pinpoint whether moving objects are humans, cars, or other entities. It’s even sophisticated enough to detect gender, clothing, and the type of vehicle it’s looking at, all in real time.

https://streamable.com/iyi3z

Even China’s Backwater Cities Are Going Smart: http://www.sixthtone.com/news/1001452/even-chinas-backwater-cities-are-going-smart

https://twitter.com/ctbeiser/status/913054318869217282
https://archive.is/IiZiP
remember that tweet with the ML readout of Chinese surveilance cameras? Get ready for the future (via @triviumchina)

XI praised the organization and promised to help it beef up its operations (China
Daily):
- "China will 'help ... 100 developing countries build or upgrade communication systems and crime labs in the next five years'"
- "The Chinese government will establish an international law enforcement institute under the Ministry of Public Security which will train 20,000 police for developing nations in the coming five years"

The Chinese connection to the Zimbabwe 'coup': http://www.cnn.com/2017/11/17/africa/china-zimbabwe-mugabe-diplomacy/index.html

China to create national name-and-shame system for ‘deadbeat borrowers’: http://www.scmp.com/news/china/economy/article/2114768/china-create-national-name-and-shame-system-deadbeat-borrowers
Anyone who fails to repay a bank loan will be blacklisted and have their personal details made public

China Snares Innocent and Guilty Alike to Build World’s Biggest DNA Database: https://www.wsj.com/articles/china-snares-innocent-and-guilty-alike-to-build-worlds-biggest-dna-database-1514310353
Police gather blood and saliva samples from many who aren’t criminals, including those who forget ID cards, write critically of the state or are just in the wrong place

Many of the ways Chinese police are collecting samples are impermissible in the U.S. In China, DNA saliva swabs or blood samples are routinely gathered from people detained for violations such as forgetting to carry identity cards or writing blogs critical of the state, according to documents from a national police DNA conference in September and official forensic journals.

Others aren’t suspected of any crime. Police target certain groups considered a higher risk to social stability. These include migrant workers and, in one city, coal miners and home renters, the documents show.

...

In parts of the country, law enforcement has stored DNA profiles with a subject’s other biometric information, including fingerprints, portraits and voice prints, the heads of the DNA program wrote in the Chinese journal Forensic Science and Technology last year. One provincial police force has floated plans to link the data to a person’s information such as online shopping records and entertainment habits, according to a paper presented at the national police DNA conference. Such high-tech files would create more sophisticated versions of paper dossiers that police have long relied on to keep tabs on citizens.

Marrying DNA profiles with real-time surveillance tools, such as monitoring online activity and cameras hooked to facial-recognition software, would help China’s ruling Communist Party develop an all-encompassing “digital totalitarian state,” says Xiao Qiang, adjunct professor at the University of California at Berkeley’s School of Information.

...

A teenage boy studying in one of the county’s high schools recalled that a policeman came into his class after lunch one day this spring and passed out the collection boxes. Male students were told to clean their mouths, spit into the boxes and place them into envelopes on which they had written their names.

...

Chinese police sometimes try to draw connections between ethnic background or place of origin and propensity for crime. Police officers in northwestern China’s Ningxia region studied data on local prisoners and noticed that a large number came from three towns. They decided to collect genetic material from boys and men from every clan to bolster the local DNA database, police said at the law-enforcement DNA conference in September.

https://twitter.com/nils_gilman/status/945820396615483392
China is certainly in the lead in the arena of digital-biometric monitoring. Particularly “interesting” is the proposal to merge DNA info with online behavioral profiling.

https://twitter.com/mr_scientism/status/949730145195233280
https://archive.is/OCsxs

https://www.techinasia.com/china-citizen-scores-credit-system-orwellian
https://www.theglobeandmail.com/amp/news/world/chinese-blacklist-an-early-glimpse-of-sweeping-new-social-credit-control/article37493300/

https://twitter.com/mr_scientism/status/952263056662384640
https://archive.is/tGErH
This is the thing I find the most disenchanting about the current political spectrum. It's all reheated ideas that are a century old, at least. Everyone wants to run our iPhone society with power structures dating to the abacus.
--
Thank God for the forward-thinking Chinese Communist Party and its high-tech social credit system!

https://en.wikipedia.org/wiki/Social_Credit_System

INSIDE CHINA'S VAST NEW EXPERIMENT IN SOCIAL RANKING: https://www.wired.com/story/age-of-social-credit/
http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion

http://foreignpolicy.com/2017/05/24/chinese-citizens-want-the-government-to-rank-them/
The government thinks "social credit" will fix the country's lack of trust — and the public agrees.

To be Chinese today is to live in a society of distrust, where every opportunity is a potential con and every act of generosity a risk of exploitation. When old people fall on the street, it’s common that no one offers to help them up, afraid that they might be accused of pushing them in the first place and sued. The problem has grown steadily since the start of the country’s economic boom in the 1980s. But only recently has the deficit of social trust started to threaten not just individual lives, but the country’s economy and system of politics as a whole. The less people trust each other, the more the social pact that the government has with its citizens — of social stability and harmony in exchange for a lack of political rights — disintegrates.

All of which explains why Chinese state media has recently started to acknowledge the phenomenon — and why the government has started searching for solutions. But rather than promoting the organic return of traditional morality to reduce the gulf of distrust, the Chinese government has preferred to invest its energy in technological fixes. It’s now rolling out systems of data-driven “social credit” that will purportedly address the problem by tracking “good” and “bad” behavior, with rewards and punishments meted out accordingly. In the West, plans of this sort have tended to spark fears about the reach of the surveillance state. Yet in China, it’s being welcomed by a public fed up of not knowing who to trust.

It’s unsurprising that a system that promises to place a check on unfiltered power has proven popular — although it’s… [more]
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january 2017 by nhaliday
Adam Elkus: The Twilight of the Elites?
http://www.arnoldkling.com/blog/martin-gurri-on-post-truth/
Read the whole essay. I interpret one of the main points to be that the bond of trust between elites and the public has been broken, so that there is no longer a shared truth concerning the interpretation of events. I interpret his conclusion as being that we need to discover a new elite, one which has credibility. Easier said than done, to say the least.

http://www.telegraph.co.uk/technology/2017/07/26/love-lives-rich-famous-verified-twitter-users-have-dating-app/
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january 2017 by nhaliday

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