Category: Uncategorized

Don’t let AI make you dumber

That is the topic of my latest Free Press column, here is one excerpt:

I do not think the skeptics would put it this way, but as I read Conti, I find he has a pretty bleak fundamental view of humanity. Are we all really just looking to veg out and abandon curiosity and inquiry, at least once the machines have taken care of both the basic functions of life and certain higher aims such as scientific research? I think some people are like that—indeed you might say many people—but it does not reflect what I take to be the general human condition.

If I look at most people who might fit into the “middle class” when it comes to intellectual pursuits or educational status, I observe they have a lot of strong interests. This might play with their pets, improve their performance at sports, or learn how to cook better. You do not have to identify those preferences with “the new Athens” or “the next Mozart” to think they are perfectly good and noble ways for people to spend their time.

Most of us want to do something interesting and stimulating with our leisure time, and if we do not, it is often because our jobs are so busy and stressful that we just wish to decompress. Of course, in this radical vision of our AI future, fewer jobs will be so all-consuming and so more of us will use vacations and leisure time to explore and learn rather than to just sit on the beach scrolling our phones. And to the extent some jobs do remain hectic, or become even more so (such as cybersecurity), they will continue to be challenging and intellectually stimulating.

A related worry is that humans may feel they simply cannot compete with the AIs, and thus they might turn away from creative pursuits. It is true that I, more than ever, have given up all hope of proving new theorems in mathematical economics. But many of my intellectual and creative pursuits do not involve competition at all. For instance, I use AI to understand classical music better, asking the models questions before I sit down to listen to a piece. (Such as “which are the best recordings?” and “what should I listen for in the second movement?”) As the models get better and smarter, I am not going to be discouraged in this endeavor, as I was not “competing” with the models to see which of us knew more. Rather, I will gratefully end up much better informed about classical music—my increasing knowledge has already induced me to see more live concerts.

Recommended, and AI saved me time on the proofreading and fact-checking (not the writing!), so I could return to reading China Mieville…

Accounting for Cross-Country Income Differences Revisited

Also known as Why I Do Not Believe in the Housing Theory of Everything:

Development accounting is the search for proximate sources of cross-country income differences. This article describes how knowledge in this field has evolved over the two decades since the influential work of Caselli (2005). There have been large advances in the measurement of production inputs (labor, physical capital, and human capital). These advances have raised the estimated contribution of inputs, mostly human capital, in development accounting. Our preferred estimate is that inputs account for 55–70 percent of gross domestic product (GDP) per worker differences, versus 30 percent using the classic specification. The literature has also made progress in moving away from Cobb-Douglas production functions and measuring factors such as management quality that were previously bundled into total factor productivity (TFP). Our review highlights the new implications of these advances, areas where future research would be beneficial, and the limitations of development accounting.

That is from a new NBER working paper by David Lagakos & Todd Schoellman.

Bundesrepublik Deutschland

At times we forget what an amazing wonder the Bundesrepublik Deutschland was.  At the end of the World War II, Germany was one of the sickest and cruelest human societies in history, ever.  Not too many years later, it was one of the best and most successful societies ever.

By the 1980s, living standards had caught up to the United States, with the provision of public goods sometimes superior.  The country was fully democratic, pro-Western, and largely pro-American.

Their rail system and postal service were amongst the best ever created.

For thinkers of note there were Hans Blumenberg, Habermas, Peter Weiss, Gadamer, late Heidegger and late Carl Schmitt, Reinhart Koselleck, the underrated Klaus Theweleit, Niklas Luhmann, and perhaps you value some of the other members of the Frankfurt School.

The visual arts were very strong, with Richter, Polke, Baselitz, Beuys, Penck, Palermo, and much more.

Music produced Stockhausen, Henze, Lachenmann, Rihm, Zimmerman, Kraftwerk, Can, and all of Krautrock, later techno, though right at the time of unification rather than during the BRD per se.  The list of vocalists, instrumentalists, and conductors is strong.  Was there anywhere better for hearing opera?

Perhaps I prefer the fiction from Austria and Switzerland, but at the very least Germany provided a major market for those authors and it was an extraordinarily literate country with amazing bookstores.  For domestic authors there were Böll, Patrick Süskind, Siegfried Lenz, Wolfgang Koeppen, can I count Uwe Johnson?, and Arno Schmidt maybe?  I do not like Grass, but it seems wrong not to list him.

The food could be very good, especially in the southwest.  There were Michelin star restaurants all over the country (still are, to be clear on this point).  So many well-functioning cities, with many of the world’s best transit systems.  Lots of nuclear power and a strong industrial base.  West Berlin was an exciting city with an air of mystery.  Some might say no speed limit on the Autobahn, though I am less sure that was a virtue.  Plenty of beautiful women and reasonable attitudes toward sex.

If you had to choose, what was the worst thing about the country?  No shopping on Sundays?  Workplace and shopping hours discrimination against women?  Too much smoking?  Obsession with Waldsterben?

Are there features of post-unification Germany that can compare to this earlier era?  So much seems not to work well.  So many policy mistakes have been made.  So much leadership lost in the areas mentioned above.  So much pessimism, sadly a lot of it seems to be justified.

Where did all the good performance go?  And why did it leave?  Lack of a communist enemy?  Absorption of East Germany?  The simple accretion of distance from pre-WWII German creativity?

The wonder that was the Bundesrepublik Deutschland.  Johannes, we hardly knew ye.

AI in science

Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists. We map these data to a new taxonomy of scientific tasks to study how scientists are using AI. Four main findings emerge. First, we find broad adoption and coverage: scientists use AI more than most other occupations. Specialized AI models have broad disciplinary coverage and are highly cited. Nearly half of the scientists surveyed report using some form of AI every day. Second, we document evidence that LLMs (proxied through Gemini usage) and specialized models act as complements—LLMs are used for general analysis, coding, and manuscript preparation, while specialized models provide domain-specific predictions, data generation and classification. Third, scientists report large productivity gains from using AI: a saving of nearly 7 hours per week, time which is primarily re-invested in more research. Finally, we show that AI is already changing the scientific process. As some stages of scientific research become easier, bottlenecks shift downstream. Scientists report an increased backlog of untested hypotheses and substantial demand for output verification. Our findings suggest that AI holds significant potential to increase scientific productivity. However, as with other sectors, its ultimate impact will be governed by complex task interdependencies and investment into the elimination of emerging bottlenecks.

That is from a new paper by Mihai Codreanu, et.al.

Earth fact of the day, #2

The shortages have gone on for so long that they are aggressively driving down how much carbon is being released into the atmosphere, a Washington Post analysis of data from the International Energy Agency shows. People worldwide are using significantly less oil and gas, which means less climate pollution…

Such an annual decline has not happened since the height of the coronavirus pandemic. Fossil fuel consumption dropped significantly more then, and consumption was lower in absolute terms, too. Crude oil demand averaged 91 million barrels per day in 2020, compared with 102 million barrels per day under the latest IEA forecast.

But this year’s drop — especially given the sharp increase that was initially forecast — is substantial.

Here is the full story.  Not a good thing overall, but there is a lesson in that to…

A doomsday scenario for American AI

That is the title of my latest Free Press column, here is the closing bit:

Sick and elderly Americans will go to Chinese companies for their AI-invented and AI-tested medical devices and drugs. America still will be a wealthy country, so China will charge the highest prices possible, yet prioritize Chinese citizens for treatment. Large numbers of Americans will die prematurely, at least compared to a world in which many of those innovations came from the U.S. My colleague Alex Tabarrok has coined the phrase invisible graveyard to refer to these lost lives, invisible because we do not observe the state of the world where they get treatment readily and cheaply. Over time, this invisible graveyard will swell into the many millions.

Finally, we will ask what went wrong.

The postmortem will be this. Many people panicked about the possibility of strong AI models killing us all. That fear was not based on peer-reviewed scientific research showing a high chance of doom, nor was doom indicated in any market prices of the time, including measures of risk. It was a story, just like this is a story, and it was spread on social media. The key point of the doom story was that, if America keeps the No. 1 spot in AI models, the models will be so strong they will do us all in, or lead to unimaginable catastrophes. We were too afraid to have America keep the lead, forgetting that if truly destructive AI is our fate, the doomer scenario can come from Chinese AI as well.

Today, we cannot say for sure that the AI doom scenario is false. But is it a story we wish to live by? Is belief in it a good way to protect and extend life, liberty, and the pursuit of happiness? Will it help us much, or for long, if it is Chinese AI that turns on us and does us in?

In my view, successful societies accept challenges and meet them. Solving problems, bit by bit, is the best way to ensure that we have the capabilities to meet big and truly existential risks, should those risks come along. Debating the chances of our doom, ex ante, on a highly speculative basis, is unlikely to provide the same kind of expertise and talent cultivation. It is instead more likely to demoralize and immobilize us.

So which America are we going to choose?

Recommended, do read the whole thing.

Friday assorted links

1. “We find a significant and highly robust empirical relationship between gender conservatism and protectionism. That relationship has been evident since 2008 and it decidedly is not a product of Trump-era politics.”

2. More than half the world’s top AI talent comes from China.

3. Argentina now at 1.0, Mexico at 1.2.

4. China is rushing to build a huge nuclear arsenal.

5. Afra Wang on some Chinese AI communities (New Yorker).

6. Mental health trends for Australian youth.

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…