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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
Too much of a good thing | The Economist
None of these accounts, though, explain the most troubling aspect of America’s profit problem: its persistence. Business theory holds that firms can at best enjoy only temporary periods of “competitive advantage” during which they can rake in cash. After that new companies, inspired by these rich pickings, will pile in to compete away those fat margins, bringing prices down and increasing both employment and investment. It’s the mechanism behind Adam Smith’s invisible hand.

In America that hand seems oddly idle. An American firm that was very profitable in 2003 (one with post-tax returns on capital of 15-25%, excluding goodwill) had an 83% chance of still being very profitable in 2013; the same was true for firms with returns of over 25%, according to McKinsey, a consulting firm. In the previous decade the odds were about 50%. The obvious conclusion is that the American economy is too cosy for incumbents.

Corporations Are Raking In Record Profits, But Workers Aren’t Seeing Much of It: http://www.motherjones.com/kevin-drum/2017/07/corporations-are-raking-in-record-profits-but-workers-arent-seeing-much-of-it/
Even Goldman Sachs thinks monopolies are pillaging American consumers: http://theweek.com/articles/633101/even-goldman-sachs-thinks-monopolies-are-pillaging-american-consumers
Schumpeter: The University of Chicago worries about a lack of competition: http://www.economist.com/news/business/21720657-its-economists-used-champion-big-firms-mood-has-shifted-university-chicago
Some radicals argue that the government is now so rotten that America is condemned to perpetual oligarchy and inequality. Political support for more competition is worryingly hard to find. Donald Trump has a cabinet of tycoons and likes to be chummy with bosses. The Republicans have become the party of incumbent firms, not of free markets or consumers. Too many Democrats, meanwhile, don’t trust markets and want the state to smother them in red tape, which hurts new entrants.

The Rise of Market Power and the Decline of Labor’s Share: https://promarket.org/rise-market-power-decline-labors-share/
A new paper by Jan De Loecker (of KU Leuven and Princeton University) and Jan Eeckhout (of the Barcelona Graduate School of Economics UPF and University College London) echoes these results, arguing that the decline of both the labor and capital shares, as well as the decline in low-skilled wages and other economic trends, have been aided by a significant increase in markups and market power.

...

Measuring markups, De Loecker explained in a conversation with ProMarket, is notoriously difficult due to the scarcity of data. In attempting to track markups across a wide set of firms and industries, De Loecker and Eeckhout diverged from the standard way in which Industrial Organization economists look at markups, the so-called “demand approach,” which requires a lot of data on consumer demand (prices, quantities, characteristics of products) and models of how firms compete. The standard approach, explains De Loecker, works when it is tailor-made for particular markets, but is “not feasible” when studying markups across many markets and over a long period of time.

To do that, De Loecker and Eeckhout use another approach, the “production approach,” which relies on standard, publicly-available balance sheet data and an assumption that firms will try to minimize costs, and does not require other assumptions regarding demand and market competition.

...

Markups, De Loecker and Eeckhout note, do not necessarily imply market power—but profits do. The enormous increase in profits over the past 35 years, they argue, is consistent with an increase in market power. “In perfect competition, your costs and total sales are identical, because there’s no difference between price and marginal costs. The extent to which these two numbers—the sales-to-wage bill and total-costs-to-wage bill—start differing is going to be immediately indicative of the market power,” says De Loecker.

Markup increases, De Loecker and Eeckhout find, became more pronounced following the 2000 and 2008 recessions. Curiously, they find that economy-wide it is mainly smaller firms that have the higher markups, which according to De Loecker is indicative of widely different characteristics between various industries. Within narrowly defined industries, however, the standard prediction holds: firms with larger market shares have higher markups as well. “Most of the action happens within industries, where we see the big guys getting bigger and their markups increase,” De Loecker explains.

http://www.janeeckhout.com/wp-content/uploads/RMP.pdf

http://www.overcomingbias.com/2017/08/marching-markups.html
The authors are correct that this can easily account for the apparent US productivity slowdown. Holding real productivity constant, if firms move up their demand curves to sell less at a higher prices, then total output, and measured GDP, get smaller. Their numerical estimates suggest that, correcting for this effect, there has been no decline in US productivity growth since 1965. That’s a pretty big deal.

Accepting the main result that markups have been marching upward, the obvious question to ask is: why? But first, let’s review some clues from the paper. First, while industries with smaller firms tend to have higher markups, within each small industry, bigger firms have larger markups, and firms with higher markups pay higher dividends.

There has been little change in output elasticity, i.e., the rate at which variable costs change with the quantity of units produced. (So this isn’t about new scale economies.) There has also been little change in the bottom half of the distribution of markups; the big change has been a big stretching in the upper half. Markups have increased more in larger industries, and the main change has been within industries, rather than a changing mix of industries in the economy. The fractions of income going to labor and to tangible capital have fallen, and firms respond less than they once did to wage changes. Firm accounting profits as a fraction of total income have risen four fold since 1980.

...

If, like me, you buy the standard “free entry” argument for zero expected economic profits of early entrants, then the only remaining possible explanation is an increase in fixed costs relative to variable costs. Now as the paper notes, the fall in tangible capital spending and the rise in accounting profits suggests that this isn’t so much about short-term tangible fixed costs, like the cost to buy machines. But that still leaves a lot of other possible fixed costs, including real estate, innovation, advertising, firm culture, brand loyalty and prestige, regulatory compliance, and context specific training. These all require long term investments, and most of them aren’t tracked well by standard accounting systems.

I can’t tell well which of these fixed costs have risen more, though hopefully folks will collect enough data on these to see which ones correlate strongest with the industries and firms where markups have most risen. But I will invoke a simple hypothesis that I’ve discussed many times, which predicts a general rise of fixed costs: increasing wealth leading to stronger tastes for product variety. Simple models of product differentiation say that as customers care more about getting products nearer to their ideal point, more products are created and fixed costs become a larger fraction of total costs.

Note that increasing product variety is consistent with increasing concentration in a smaller number of firms, if each firm offers many more products and services than before.

https://niskanencenter.org/blog/markups-market-power/
http://marginalrevolution.com/marginalrevolution/2017/08/robin-hansons-take-rising-margins-debate.html

https://growthecon.com/blog/Markups/

Variable costs approach zero: http://www.arnoldkling.com/blog/variable-costs-approach-zero/
4. My guess is that, if anything, the two-Jan’s paper understates the trend toward high markups. That is because my guess is that most corporate data allocates more labor to variable cost than really belongs there. Garett Jones pointed out that these days most workers do not produce widgets. Instead, they produce organizational capital. Garett Jones workers are part of overhead, not variable cost.

Intangible investment and monopoly profits: http://marginalrevolution.com/marginalrevolution/2017/09/intangible-investment-monopoly-profits.html
I’ve been reading the forthcoming Capitalism Without Capital: The Rise of the Intangible Economy, by Jonathan Haskel and Stian Westlake, which is one of this year’s most important and stimulating economic reads (I can’t say it is Freakonomics-style fun, but it is well-written relative to the nature of its subject matter.)

The book offers many valuable theoretical points and also observations about data. And note that intangible capital used to be below 30 percent of the S&P 500 in the 70s, now it is about 84 percent. That’s a big increase, and yet the topic just isn’t discussed that much (I cover it a bit in The Complacent Class, as a possible source of increase in business risk-aversion).

...

Now, I’ve put that all into my language and framing, rather than theirs. In any case, I suspect that many of the recent puzzles about mark-ups and monopoly power are in some way tied to the nature of intangible capital, and the rising value of intangible capital.

The one-sentence summary of my takeaway might be: Cross-business technology externalities help explain the mark-up, market power, and profitability puzzles.

Why has investment been weak?: http://marginalrevolution.com/marginalrevolution/2017/12/why-has-investment-been-weak.html
We analyze private fixed investment in the U.S. over the past 30 years. We show that investment is weak relative to measures of profitability and valuation — particularly Tobin’s Q, and that this weakness starts in the early 2000’s. There are two … [more]
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march 2016 by nhaliday

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