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“Tyler Cowen’s AI campus”
That is a short essay by Arnold Kling. Excerpt:
Tyler’s Vision
As a student, you work with a mentor. At the beginning of each term, you and your mentor decide which courses you will take. If there are other students on campus taking them, great. If not, maybe you can take them with students at other schools, meeting remotely.
For each course, an AI can design the syllabus. Tyler gave an example of a syllabus generated by ChatGPT for a course on Tudor England. If you can find a qualified teacher for that course, great. If not, you could try learning it from ChatGPT, which would provide lessons, conversations, and learning assessments (tests).
Tyler thinks that 1/3 of higher ed right now should consist of teaching students how to work with AI. I do that by assigning a vibe-coding project, and by encouraging “vibe reading” and “vibe writing.”
The reason for proposing such a high proportion of effort to learning to work with AI is because we are in a transition period, where the capabilities of AI are changing rapidly. Once capabilities settle down, best practices will become established, and knowledge of how to use AI will be ingrained. For now, it is very hard to keep up.
It is possible, of course, that Tyler and I could be wrong. It could be that the best approach for higher ed is to keep students as far from AI as one can. I can respect someone who favors an anti-AI approach.
But I am disturbed by the lack of humility that often accompanies the anti-AI position in higher education. I have difficulty comprehending how faculty, at UATX and elsewhere, can express their anti-AI views with such vehemence and overconfidence. They come across to me like dinosaurs muttering that the meteor is not going to matter to them.
I believe the talk will be put online, but a few extra points here.
First, the one-third time spent learning how to use AI is not at the expense of studying other topics. You might for instance learn how to use AI to better understand Homer’s Odyssey. Or whatever.
Second, I remain a strong believer in spending many hours requiring the students to write (and thus think) without AI. Given the properties of statistical sampling, the anti-cheating solution here requires that only a small percentage of writing hours be spent locked in a room without AI.
Third, for a small school, which of course includes U. Austin, so often the choice is not “AI education vs. non-AI education,” rather “AI education vs. the class not being offered at all.”
Why should not a school experiment with two to three percent of its credits being AI offerings in this or other related manners? Then see how students respond.
Claims about AI and science
You should take these as quite context-specific numbers rather than as absolutes, nonetheless this is interesting:
Scientists who engage in AI-augmented research publish 3.02 times more papers, receive 4.84 times more citations and become research project leaders 1.37 years earlier than those who do not. By contrast, AI adoption shrinks the collective volume of scientific topics studied by 4.63% and decreases scientists’ engagement with one another by 22%.
Here is the full Nature piece by Qianyue Hao, Fengli Xu, Yong Li, and James Evans. The end sentence of course does not have to be a negative. Via the excellent Kevin Lewis.
The share of factor income paid to computers
Via Kevin Bryan.
Friday assorted links
2. Daniel Walker Howe, RIP (NYT). I recommend his books on early to mid- 19th century American history.
3. “…the 2nd least mobile player in the NBA on defense.”
4. Anthropic Economic Index report.
Why are groceries so expensive in NYC?
The lowest-hanging fruit is to simply legalize selling groceries in more of the city. The most egregious planning barrier is that grocery stores over 10,000 square feet are not generally allowed as-of-right in so-called “M” districts, which are the easiest places to find sites large enough to accommodate the large stores that national grocers are used to. Many of these districts are mapped in places that are not what people have in mind when they think “industrial” — mixed-use neighborhoods with lots of housing like stretches of Williamsburg’s Bedford Avenue and almost all of Gowanus, even post-rezoning, are in fact mapped as industrial districts.
To open a full-sized grocery store in these areas, a developer must seek a “special permit,” which requires the full City Council to get together and vote for an exception to the rules. This is a long, uncertain process, and has in the past even been an invitation to corruption.
Most famously, the City Council uses this power to keep out Walmart at the behest of unions and community groups. Thwarted in its plans to open a store in East New York — a low-income Brooklyn neighborhood that could desperately use more grocery options — the nation’s largest grocer instead serves New Yorkers with a store just beyond the Queens/Nassau line in Valley Stream, rumored to be the busiest Walmart in the country. New Yorkers with a car and the willingness to schlep beyond city limits — or pay the Instacart premium — get access to cheaper groceries; the rest get locked out.
When politicians are willing to approve a grocery store, the price can be high.
That is by Stephen Smith, via Josh Barro.
Thursday assorted links
2. Does AI mean the demands on labor go up?
3. This obituary has plenty of interesting information about South Africa’s nuclear program (NYT).
4. Mercatus 1991 fellowship on state-level Indian economic policy.
5. Legal framework for crypto is hitting some snags (NYT).
6. “I find that parental transfers account for 13 percentage points (27%) of young households’ homeownership…Finally, I show that children of wealthy parents strategically use the illiquidity of housing as a commitment device to encourage transfers, resulting in a preference for illiquidity.” Link here.
China’s supply chain problems
They exist in manufacturing too, and perhaps this should help you feel a little better about American problems:
A January 2024 report on China’s wind power sector by researchers at Tsinghua University found that it remained heavily dependent on imports for crucial parts — including 60 per cent of the bearings that support their rotors, 70 per cent of the transistor modules used to convert power into grid-compliant electric current, and 100 per cent of logic modules used to control turbines in real time…
Consider lithium, cobalt, and manganese, three minerals used heavily in electric car btteries. The Chinese shares of global refining for these materials is overwhelming…But far smaller amounts of the raw materials come from mines in China – just 22 per cent, 3 percent and 4 per cent, respectively.
That is from Simon Mundy at the FT.
Thomas Sargent is a wise man
The protests began on December 28, initially led by traders and business owners who took to the streets against the rapidly weakening economy, soaring inflation, and the sharp fall in the rial’s value. The currency’s decline has been dramatic: against the Indian rupee, the rial is now valued at just 0.000091 paise, while against the US dollar it has fallen to around 0.0000010 cents.
Most strikingly, the rial’s value against the euro has dropped to zero, meaning it is no longer accepted or exchangeable in any of the 27 European Union countries.
Five Key Drivers Behind the Rial’s Freefall
- US and International Sanctions: Restricting access to dollars from exports, especially oil, has intensified pressure on the rial.
- Hyperinflation: Consumer prices rose by 42.5% in December 2025, forcing citizens to seek foreign currencies, gold, or essentials instead of holding cash.
- Weak Economic Growth: Iran’s GDP contracted by 1.7% in 2025, with further shrinkage projected in 2026, limiting government revenue and fiscal stability.
- Policy Changes: Recent reforms requiring importers to purchase foreign currency at open-market rates increased demand for dollars overnight.
- Political Unrest: Ongoing protests against clerical leadership and economic mismanagement have added a “risk premium,” accelerating currency depreciation.
Here is the full story. And that was before what appears to be, as I am writing this post earlier in the evening, the air attack on Iran [now called off, for the time being at least].
Wednesday assorted links
1. Did Tudor mercantilism succeed?
2. Why are intelligent people more liberal?
3. Maybe U.S. law enforcement is taking too much testosterone, steroids, etc.?
4. The political culture that is Malawi (WSJ).
5. On Kant, Mercor, and poetry aesthetics.
6. Ai, RIP. Deserving.
7. Vanderbilt is expanding to San Francisco (WSJ).
Negative political externalities from migration to Britain?
Following up on my recent post, which suggested less skilled immigration into the UK has not been a disaster, the question has been raised about long-term negative political externalities. Will not migrants enter the country and make electoral outcomes worse? I would offer a few points in response:
1. If this is the argument, one needs to admit that immigration has gone well enough in the UK to date. This argument is about the future, not the past.
2. The UK has indeed had a variety of poor leaders as of late. It is very difficult to hold immigrants responsible for them, mostly it is the native white Brits who have been at fault. You might not like how UK Muslims have shaped some of the Middle Eastern statements of Labour, but that is hardly a relevant factor behind the slowdown of the British economy, or of British gridlock.
3. There is a very real risk that Reform will win the next election and then implement bad economics policies, above and beyond whatever you think of their approach to immigration. But if that is the real fear, it would be good to limit their popularity by talking up the positive side of immigration. I am not suggesting that any of us should tell anything less than the full truth, but obviously there are many positive aspects of migration that even professional economists can get wrong. Does immigration mean “higher home prices” or “capital gains for domestic homeowners”? Well, both, but you hear much more about the former than the latter (even Gemini got that one wrong). Let’s redress the balance, and lower the risk of future bad economic policy while we are at it.
4. Sometimes immigration weakens the demand for welfare state transfers, since the immigrants are viewed as outsiders. In Britain, that would currently be a positive at current margins. I recognize that is by no means the only political effect, but in any case do not assume that all of the political externalities are negative.
Above all else, it is difficult to paint immigrants as major villains for Britain’s troubles so far. Just read through the original analysis again. It has not been seriously countermanded, and do most of their problems are indeed the fault of the white people.
That all said, I would readily admit, and indeed stress, that a better set of migration policies could have put Britain in a much better position than it is today.
Tuesday assorted links
1. Pre-history of progress studies and links.
2. Do institutional investors raise housing prices?
3. Alex Sarr leads the NBA in blocks.
4. History LLMs.
5. The new Middle Eastern Cold War. Likely to be one of the better and most important of essays from this year.
My Win-Win podcast with Liv Boeree
Liv is great at this, here is the Spotify link. Note this was recorded in May 2025, and its release postponed due to technical difficulties. So if a few parts seem “behind the times,” that is why. ” Tyler also shares his views on economic growth, UBI, automation, persuasion, state capacity, why fears of mass unemployment and civilizational collapse are often overstated.”
Grade inflation sentences to ponder
Next, we consider the effects of grade inflation on future outcomes. Passing grade inflation reduces the likelihood of being held back, increases high school graduation, and increases initial enrollment in two-year colleges. Mean grade inflation reduces future test scores, reduces the likelihood of graduating from high school, reduces college enrollment, and ultimately reduces earnings.
Here is the full paper by Jeffrey T. Denning, Rachel Nesbit, Nolan Pope, and Merrill Warnick. Via Kris Gulati.
Claims about AI productivity improvements
This paper derives “Scaling Laws for Economic Impacts”- empirical relationships between the training compute of Large Language Models (LLMs) and professional productivity. In a preregistered experiment, over 500 consultants, data analysts, and managers completed professional tasks using one of 13 LLMs. We find that each year of model progress reduced task time by 8%, with 56% of gains driven by increased compute and 44% by algorithmic progress. However, productivity gains were significantly larger for non-agentic analytical tasks compared to agentic workflows requiring tool use. These findings suggest continued model scaling could boost U.S. productivity by approximately 20% over the next decade.
That is from Ali Merali of Yale University.
Venezuela stablecoin fact of the day
By one estimate, almost 80% of Venezuela’s oil revenue is collected in stablecoins like tether, a local economist, Asdrúbal Oliveros, said on a recent podcast.
Here is the full WSJ piece.