Category: Uncategorized

Armenia notes

I strongly recommend a trip to Armenia, now is a great time to go.  Here are a few things I noticed:

1. The country remains intellectual.  The book fair is well attended.  The classical music season is excellent, with good concerts multiple times a week, and the theatre scene, in both Armenian and Russian, is active.  The country has only a little more than three million people, yet they have won gold medal in the chess Olympiad three times in recent memory.  You could say the country has maintained the (few) strengths of the former Soviet Union, and is arguably the only place that has.  It feels more like the former Soviet Union than Russia does.

2. The National Gallery has excellent Soviet and Russian paintings, while their Armenian collection is definitive.  The Medieval Manuscripts museum is first-rate.  Unfortunately, neither does anything to put images online, but all the more reason to go.

3. Armenian society is nearly 100% white and 100% Christian, as most of the immigrants (is that the right word here?) are Russian.  Crime is close to zero, and the cars stop when you try to cross the street.  Being a loyal northern Virginian, that mix is not “my thing.”  But if that is what you wish to experience, if only briefly, Armenia is the place that serves it up without apology.  Even secular Armenians have great respect for the national Apostolic church, as they view it as a guardian of Armenian independence.

4. The old monasteries are A level sights, and many of them are mere day trips from Yerevan, the capital.  Most of the tourists you see at these are Russians, not Westerners.  You also will see some Iranian tourists.

5. Yerevan is not great for old buildings, but the city is very walkable and pleasant and lively.  I believe the winters are brutal, but September there is wonderful, every day was perfect weather.

5b. In Armenia you will see how their brutalism in fact comes from their earlier religious architectural traditions, and how the newer churches embody modern brutalist ideas as well.  I found this very interesting.

6. I have a separate piece coming out on food in Armenia, for now I will just say it is excellent and novel as well.

7. Armenia is not dirt cheap, but it is much cheaper than most of Europe and so can be considered a bargain in relative terms.

8. Almost everyone in Yerevan speaks good Russian.  The influence of Russia is embedded in virtually every institution, people like Russia, Russia supplies most of their energy, and is the number one trading partner.  Russian troops protect them from Turkey.  A Russian does not even need a passport to enter and live in Armenia.  Russia is a permanent fixture in Armenian life, and most people do not seem to mind that.  They are very disappointed that Putin did not protect them more in the war with Azerbaijan, but that is their major source of discontent, not that Russia and Putin are evil.

9. Armenia has close relations with Iran, and Armenians do not seem to hate Iran.  They regard the country as a partial counterweight to Turkey, and for that matter Russia.  People in Armenia are very conscious of the x-risk represented by Turkey.  They also will speak to you about history in great detail, and they are very wrapped up in their past history.  They are very familiar with maps.

10. You can see Mount Ararat, supposed resting place of Noah’s Ark, from the outskirts of Yerevan.  It is beautiful.  It remains on the Armenian currency, and in the hearts of Armenians, yet it is now part of Turkey and is very likely to remain so.  Armenians refer to that part of Turkey as “Western Armenia.”

11. Here is someone else’s exaggerated take on the place, no it will not be the next Poland.

I would put it this way.  At any point in time, there are a few parts of the world that are perfect for visiting and viewing.  They should be comfortable, but still exotic and not overtouristed.  Not dangerous, and not too full of hassles, yet replete with challenging and stimulating experiences.  Yunnan in China is one such place.  Currently, aAzerbaijan, Georgia, and Armenia all fit this designation.  They all have complex histories, and are not always in great shape, so now is the time to go.  They will never get better to visit, and right now they are pretty close to perfect as destinations.  See what you can, while you can.

Thursday assorted links

1. Shruti on Coltrane.

2. On the drop in Pisa scores.  Quite exaggerated, it turns out.

3. Hope you all reoptimize your views accordingly, on AI agreements with China.

4. Dutch economy is picking up.

5. One professor’s AI-assisted output.  Hey people, solve for the equilibrium…

6. Brisket is now too expensive for this Texas smokehouse.

7. I asked the new Claude to write a 900-word column on refineries, supply, and how to improve the problem.

*Fear of Data*

The author is Omri Ben-Shahar, and the subtitle is How Privacy Panic Led Tech Regulation Astray — and How to Fix It.  I would describe this book as bracing, and full of substantive engagement.  Basically the author wishes to give privacy considerations less weight in social decisions.  Excerpt:

What is the concrete evidence for the benefits of facial recognition technology in investigation of  human-trafficking crimes?  I would love to have found global estimates of the magnitude — of the trafficking victims rescued through the most advanced facial recognition methods — but all I have is a collage of reports [reports are then described].

One chapter is entitled “The Futility of Personal Rights.”  Agree or not, this book is full of actual arguments, so I approve.

My economics-rich Conversation with Gita Gopinath

Here is the audio, video, and transcript.  Here is the episode summary:

Gita Gopinath has spent the last several years inside the room where the world’s monetary plumbing gets fixed — or doesn’t. As first deputy managing director of the IMF and, before that, the Fund’s chief economist, she worked on sovereign debt restructuring, followed Argentina’s disinflation up close, and built her academic reputation on ideas like dollar dominance and the dominant currency paradigm. Now back at Harvard launching a new Global Economics Lab, her conversation with Tyler ranges from why exchange rates don’t adjust the way models predict, to what stablecoins really cost, to whether AI’s growth dividend will show up on schedule.

Tyler and Gita discuss why trade balances are only weakly related to real exchange rates, before turning to Argentina, Milei’s fiscal discipline, the peso, and dollarization. Then they discuss whether economists got the euro wrong; whether trade imbalances with China are really the problem; stablecoins, CBDCs, and the Treasury market; and whether AI will ease the debt burden, cause stagflation, or transform economics itself. Finally, they turn to her family’s Kerala roots: why the state keeps electing communists, the relationship between matriarchy and social indicators, single-sex education, and what she’s building next.

Excerpt:

COWEN: Now, Scott Sumner argues we shouldn’t be worried about trade imbalances at all. We don’t worry about them across American states. A lot of the EU has a pretty big current account surplus. Not many people are worried about that. Yet when it comes to China, the talk is all about trade imbalances. Scott argues that’s more of a political project than an actual economic argument. Do you agree with Scott or not?

GOPINATH: I would agree with Scott along the following lines, which is that the trade imbalance in and of itself is not something that we should be focused on. I think what we care about is welfare, and welfare involves jobs and consumption, what’s inflation, purchasing power, and so on. People do not wake up in the morning saying, “Okay, my current account deficit is too big, or my current account surplus is too big.” If all of your policies that were delivering good outcomes for your country were to bring along a deficit or a surplus, that’s perfectly fine. There are lots of good reasons to be running deficits and surpluses we know. There’s nothing that tells you that you shouldn’t.

The problem arises when you have policies that countries have in place that are inconsistent with any kind of a balanced growth model, and they manifest themselves in that trade deficits and surpluses. This is what I’m saying as an economist.

Now, of course, from a politician’s perspective, there are other arguments for why they would point to it. What we have seen historically over and over again is that whenever you had these increases in these deficits and surpluses, you’ve had trade wars or calls for protectionism. That’s what happened during Reagan’s time, 1980s. That’s what led to the Plaza Accord and then all the adjustments that followed after that.

Then you also do worry about the possibility of crises. The Great Financial Crisis was preceded by growing imbalances. There was a sense in which all this big savings glut. All this money flushing around. All these large surpluses and deficits were part of the problem. Now I would say where we are now in this third wave of concern about imbalances.

To be clear, it’s not the imbalance itself. As an economist, I would say that it’s not the imbalance in itself. You don’t wake up and say, “This is what I’m trying to prevent. I’m trying to prevent us from having a deficit. I want us to have balanced trade.” I think that’s bad economics.

COWEN: Say China is channeling what would have been wage income into investment, and that’s plausibly the case. Now, it may be politically unstable in the sense that we Americans object to it, but that’s not an argument per se, right? We have a choice as to whether or not we should object to it. It doesn’t seem that rigorous to say, well, this will cause another financial crisis like 2008. There’s just not real evidence for that. Scott Sumner would say, “Let’s just be happy we have cheaper goods. We send them paper. We get back stuff and go our merry way.” Why is that wrong?

GOPINATH: A few things. Firstly, I could go into these differences between trade deficits and surpluses versus what I would call sectoral imbalances, or the fact that China’s running a big manufacturing surplus, which is different from a trade surplus itself, or that it has big EV production. What we do recognize, again, is that we do a pretty bad job in moving or helping workers that have lost their jobs in certain sectors.

COWEN: We’re at full employment now or very close to it.

GOPINATH: Again, we’re at full employment right now, but we’ve had this period of time when we had communities that were deeply affected by—not just trade—automation was a big part of it too. We don’t do a great job in terms of getting people back into jobs, and that can affect, depending upon your ideal welfare function for the country, if you care a lot about those people, then obviously in that case, that’s something that should matter in your policy decisions.

In the case of China, I would say firstly that, in both the case of the US and China, we’re very far from the world where countries are doing good policies, and this is all about comparative advantage, and this is all about this would be the outcome we would have in a world where every country was doing the right policy. We’re very far from that.

China’s surpluses are a reflection of things going wrong in China. It’s not a reflection of strength in China. It’s a reflection of weak consumption. It’s a reflection of misallocated resources going into different sectors. They did that with their property markets. Now they have a huge property market problem that they haven’t been able to fix in five years. They have this now with other markets, including EVs and the other sectors. They have the problem with inflation being too low.

They’re trying to do so called anti-involution policies, bringing companies together and telling them, “You’ve got to keep prices higher than what you’re doing right now.” This is not the world where they’re playing good policies, and this is all comparative advantage, and this is the outcome that we see. I wouldn’t push the argument that this is, “Oh, we should be just happier with cheaper goods from China.”

Economics throughout…

Wednesday assorted links

1. Diving northern gannets.

2. Guatemala update.

3. Tech-utopian project coming in Uruguay?

4. “Toy sales among adult-only households have now outpaced households with children for toy sales, growing 16% through June, according to a market research group.”

5. Do stock buybacks bring harm?

6. How AI competition works in China.

7. Economist column on AI risk and shorting the market (hint: ask the AGI what to do!  And of course asset prices fall along the way).

The economics of late grandmotherhood

We show how fertility delays compound across generations to raise age at first grandmotherhood. Under the 1960 first-birth schedule median grandmotherhood came at 44. Under the 2024 schedule it is 57, cutting the healthy years with grandchildren from 28 to 15. Longer life does not make up the loss of years when the grandmother is healthy enough to supply money and care. Delay is most pronounced among the college-educated, with reproductive-control access accounting for over half the fall in grandmotherhood by age 55 among White college graduates. When a daughter times her first birth to maximize her own payoff, the loss her choice imposes on her mother is external to her calculation. We call this the Rotten Adult Kid Problem. Delay raises both the price of a grandmother’s care and wealth per grandchild.

That is from a new NBER working paper by Dora Costa and Matt Kahn.

Tuesday assorted links

1. Designing a FINRA for frontier AI.

2. Andrew Ng.

3. Some semi-skeptical notes on stablecoins, based on economic history.

4. Global views on fairness and redistribution.

5. Essays on whether AI will make management more valuable.

6. The real authorities on the California billionaire wealth tax.  They are right in front of your eyes.

7. “The storied venture-capital firm is investing $35 million in an unaccredited San Francisco-based two-year alternative to traditional college for students ages 16 to 22. Though named the Horowitz Andreessen Academy, the school will operate as an independent business led by Gagan Biyani, co-founder of the ed-tech platform Udemy.” (WSJ)

Dartmouth Provost okie-dokie

On Aug. 26, a Semafor investigation using Pangram to determine whether recent guest columns in major newspapers were written using artificial intelligence identified a column by Schnell as “100% AI-written.” Schnell’s column in The Washington Post — titled “Universities are fighting AI cheating. But there’s a deeper problem.” — argued that “a degree should distinguish what students can do independently from what they can accomplish with AI.

”The Dartmouth subsequently reviewed publications written by Schnell before and after the November 2022 public release of ChatGPT. Pangram 4.0, the latest publicly available version of the AI detector, labeled all of Schnell’s written works prior to 2022 as “100% human-written,” while a test of nine of his works published this year returned a median “AI-written” percentage of 96%. Between 2019 and 2026, Schnell did not publish any academic works or op-eds for which he was the sole author credited, according to his online curriculum vitae.Pangram 4.0 assesses whether a work is AI-written by separating the submitted text into smaller segments, which are then identified as “human,” “AI-assisted” or “AI-generated,” according to a Pangram technical report.

…Schnell’s Sept. 18 email statement to The Dartmouth was itself “100% AI-written,” according to a Pangram test.

Here is the full story, you people crack me up…

Banning self-recursive improvement in AI models?

Some people are suggesting this, including Ezra Klein.

I do not understand how it is supposed to work.  Put aside the issue of foregone innovations, let us say I seek to access an AI from overseas.  Am I allowed to visit their website?  So many sites have AI behind them, including Chinese open source AI.  Do all of those sites get banned?  And how?  Firewall imposed on Americans?  And we cannot put the good open source models on our hard drives?  How enforced?  Does the government have to read the creation logs of the model (how can they?), and then decide whether I can use that model or not?

What if Anthropic licenses its IP to an independent subsidiary in the Cayman Islands and they keep on using code to improve the AI?  Or maybe only foreign nations are allowed to have the best models and the really fast rates of improvement?  How are multinationals supposed to operate across borders?  (Presumably you cannot just use the RSI of your foreign affiliate, but then the whole MNC is crippled and eventually rendered uncompetitive?)  How are we to keep “AI sovereignty” for Americans?

If the top U.S. labs have to give up on what is supposed to be really important, they will look very “catchable.”  The policy creates a big incentive for some other parts of the world to invest a lot more in compute.  How safe is that?  And in the short run, do we also have to stop American firms from selling their compute abroad?

Does this whole thing mean that regular companies can use AI to write code, but the main labs cannot?  Solve for the equilibrium there.  Or the whole code writing function goes away for everybody?

What is the political mechanism through which RSI progress gets turned back on again, and when?  Is it as rational as our current debate over data centers?  If the top companies are no longer building RSI models, how are they supposed to know how safe or unsafe they might be?

At current margins, are humans even capable of writing the next steps of code that are required for further progress?  At whatever speed?

I do not find this to be a workable idea.  I think it is “people wanting to do something that sounds reasonable and less scary,” without thinking through the practical details.  I have made a related point before, but one does best with AI policy when you start with the stuff that otherwise you might put into your last two or three paragraphs of an essay (“It remains to be seen how…but we are all human beings and surely we should not give up hope…”).  Even if you believe in a deal with China, and I do not, we (and others) now know competitors can catch up more quickly than we had thought, at least if they think they have a chance of winning.  They might even buy some space compute from Elon.

C’mon people, I know for many of you this is a difficult take to swallow, because it feels like “we don’t care enough” if we do not take some dramatic steps.  Nonetheless the reality is that, a long time ago, we made a whole series of decisions that imply…we have no other choice than to just see this one through and get it more or less right.  The longer we deny that truth, the harder it will be for all of us.

Further results on AI and labor market reallocation

This paper documents how artificial intelligence has affected stocks and flows in the U.S. labor market. Combining CPS and JOLTS data with AI exposure and adoption measures from OpenAI and Lightcast, respectively, we construct labor force stocks, worker flows, and market tightness by AI exposure and adoption. Since the introduction of LLMs, workers with high AI exposure and adoption have experienced larger declines in job-finding and job-switching rates than other groups, while their within-job activity switching has increased noticeably relative to others. The positive effects of AI on nominal wage growth and hours worked attenuate markedly in the post-LLM period, suggesting that LLM-driven reallocation has operated through within-firm task reorganization and a reconfiguration of labor inputs, alongside weaker demand for workers most exposed to AI. To quantify LLM-driven reallocation pressure, we construct individual-level hirability and separability indices and showthat dispersion in job-finding prospects has risen markedly since 2023, largely driven by the AI factors. The natural rate of unemployment—recovered from the trend components of unemployment inflows and outflows by AI exposure and adoption, as well as from a theoretical model of structural unemployment—is estimated to have risen by about 0.1-0.2 percentage point since the introduction of LLMs, albeit with considerable uncertainty.

That is from a new NBER conference paper by Hie Joo Ahn and Nicholas A. Carollo.  Via Inclusive Productivity Network and Alex Imas.

Monday assorted links

1. Avi Loeb video on UAPs.

2. “[The Mises] library now has a permanent independent home: https://freecapitalists.org/. It holds 945 books, 3,374 journal issues and 2,732 recorded lectures, all free, in PDF, EPUB and MOBI, with the rights recorded per work.”

3. “They invited me to come see it for myself at Sopchoppy’s annual worm grunting festival, which draws thousands of visitors.” (NYT)

4. The (small) movement to return Europe to Latin.

5. Political pro-Trump bias in Polymarket?

Obama on agentic AI

Obama recently said:

“If we are thinking about AI just in terms of how do we cure cancer or get better energy, you can do that without having agentic AI and having it just roaming free in the internet.”

As Roon noted: “this sounds completely incoherent to me”

From Rob Saker:

An agent is a system that can plan, use tools, write code, query data, run experiments, check its own work, and keep going. That is how the work gets done. Treating “agentic” as optional decoration, as if the serious version of AI is a polite chatbot locked in a box while the unserious version “roams free on the internet”, is the kind of sentence you write when you’ve heard the buzzwords and never watched a lab actually use the technology. You do not cure cancer with a model that only answers questions. You cure cancer with systems that can read the literature, propose hypotheses, design assays, analyze results, rewrite the next experiment, and do that loop a thousand times faster than a human postdoc. That loop is agentic. Strip the agency out and you are left with a very expensive autocomplete.

I agree with those points, but my main concern is different.  How would we enforce such a prohibition on commercial agents?  Set up a Chinese-like firewall that bans Americans from accessing sites with foreign agents?  Monitor all those sites over time, so we know which suppliers to ban?  Ban VPN as well?  Give our government the power to inspect hard drives, in case agentic functions might be embedded there?  Set up FBI “phishes,” luring Americans in with the prospect of agent access from abroad, and then arresting them, as we do with child ****?

Something else?  How about insisting that all American (and foreign?) web sites set up tough captcha problems, so that agents may not be used (ha ha)?

You might also ask how an AI “agent” is to be defined, after all even O3 had some “agentic” abilities, such as opening up museum web sites to see which exhibits are on.  Is it typing things into boxes and filling out forms that is to be prohibited?  How much regulation of software would that require, how would that regulation actually occur, and what else would end up being restricted?

I do not think Obama intends to be supporting massive restrictions on freedom of speech and civil liberties.  Rather this is a good example of how some political factions will simply have “ideas about what might be good,” without having freedom concerns — or for that matter practicality and civil liberties concerns — center of mind in the first place.

And this would cause the immediate bankruptcy of both Anthropic and OpenAI, right?

I can readily imagine that, upon the advent of agentic AI, we need some significant changes in our cyber laws.  Now would be a good time to both commission and also cite some peer-reviewed academic literature on this matter!?  That is not an impossible thing to do, yet our public discourse seems oddly resistant to the notion.

Addendum: And do not forget the classic Gwern piece, remarkably early in its prescience.

Sunday assorted links

1. Nobel Laureates in support of the California billionaire wealth tax include Krugman, Acemoglu, Diamond, Stiglitz, Banerjee, and Duflo (FT).

2. Secretariat as GOAT.

3. Dead brains and the piano??

4. “A real contribution of AI is showing the critical weaknesses of humans and human structures.”  But can we take it?

5. When did the Chinese reach New Zealand? (speculative)

6. “Everyone needs to realize we are fighting the summation of the last 100 years of war that never got settled they just slowed down at times”

7. “you have no idea how fast the world will accelerate AI progress if a world war began” — no major war (in addition to the status quo) would be one excellent move in the direction of AI (and other) safety.