The child development researchers I spoke to about it? Practically blasé. They saw screens as a valuable tool — overused but useful — that can help families when handled well.
2026-02-04 01:09:35
1. The discourse is getting both smarter and dumber.
2. Seb Krier.
3. New report on economics of human longevity.
4. Alex Ross on the great Morton Feldman (New Yorker).
5. The case for optimism in South Africa (The Economist).
7. Latin American modernism, Caracas edition 1960s.
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2026-02-03 22:41:14
Yes, I will be doing a Conversation with him. He is a Professor of History at Northwestern, specializing in Mexico and to some extent the Caribbean. He has translated a Mexican book on Edgar Allan Poe. I am learning a good deal from his new 700 pp. book Mexico: A 500-Year History, and I very much like his earlier work on Mexico and violence. Here is an NYT review of the new book.
So what should I ask him?
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2026-02-03 16:12:23
Finance theory is in even more trouble than we had thought:
Mining 29,000 accounting ratios for t-statistics > 2.0 leads to cross-sectional return predictability similar to the peer review process. For both, ≈ 50% of predictability remains after the original sample periods. This finding holds for many categories of research, including research with risk or equilibrium foundations. Only research agnostic about the theoretical explanation for predictability shows signs of outperformance. Our results imply that inferences about post-sample performance depend little on whether the predictor is peer-reviewed or data mined. They also have implications for the importance of empirical vs theoretical evidence, investors’ learning from academic research, and the effectiveness of data mining.
That is from a new paper by Andrew Y. Chen, Alejandro Lopez-Lira, and Tom Zimmermann. Via KingoftheCoast.
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2026-02-03 13:52:46
From Michael Coren at The Washington Post:
The child development researchers I spoke to about it? Practically blasé. They saw screens as a valuable tool — overused but useful — that can help families when handled well.
What I didn’t hear: bans, panic or moral judgments. It was framed as a choice — one you can make better or worse. Researchers expressed a lot of compassion for parents squaring off against massive technology companies whose profit models aren’t always aligned with what’s best for children’s health.
“I am just a lot more concerned about how we design the digital landscape for kids than I am about whether we allow kids to use screens or not,” said Heather Kirkorian, an early childhood development researcher at the University of Wisconsin-Madison. “I haven’t seen concrete evidence that convinces me that screen use itself is creating problematic behavior.”
And for older age groups, there is a new NBER working paper by David G. Blanchflower and Alex Bryson, excerpt:
The change in the age profile of workers’ wellbeing may reflect changes in selection into (out of) employment by age, changes in job quality, or changes in young workers’ orientation to similar jobs over time. But changes in smartphone usage – often the focus of debate regarding declining young peoples’ wellbeing – are unlikely to be the main culprit unless there are sizeable differences in smartphone usage across young workers and non-workers, which appears unlikely.
I am a great believer in work as a way to help improve mental health problems. Here is a quick discussion of media bias on the screens issue. I would stress that none of what I am citing here is at variance with mainstream perspectives on these issues.
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2026-02-03 01:45:05
Here is the link, excerpt:
The reality of bot communication is more mundane than the most extreme examples online make it sound. AI expert Rohit Krishnan measured their conversations and found that they gravitate to the same few subjects.
“LLMs [large language models] LOVE to talk about the same stuff over and over again, they have favorite motifs that they return to,” Krishnan writes. Does that sound like any humans you know? They frequently repeat themselves and each other, with just small variations. And a relatively small percentage of the bots are doing a high share of the talking. Made in our own image, indeed.
What we have done with these agents is to create self-reinforcing loops that keep responding to each other. If enough time passes, as with humans, the bots will end up saying virtually everything, including conspiracy talk. Expect highly unpleasant political views to follow, as well as peacenik chatter and plans for love-ins. They will have favorite heavy-metal songs, too, some of them with satanic themes.
Over the course of 2026, I expect that there will be analogous AI-run networks, created by humans (as Moltbook was) or by bots themselves. Imagine a bot that calls up an AI music generator like Suno and asks for a new Renaissance choral tune but sung in Guarani, and then shares it with the other bots (and some humans) on a bot network devoted to music composition. Or how about a site where the AIs comment on various Free Press articles?
By the way, the bot who wrote me looking for work is now a verified story. The bot’s “owner” apologized, and offered a full explanation, though I said I was delighted to receive the message. Here is an update from Scott Alexander.
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2026-02-02 22:39:12
1. Simulating the growth of Mexico City.
2. First contact with America, can one visit matter so much?
3. Documentary on economist Antonio de Viti Marco.
4. Debates over YIMBY and supply.
5. One underrated benefit of feminization. When you live it, that is.
7. Why the delay on the tariff rulings?
8. The early internet optimists were not optimistic enough (Bloomberg). Lessons for today?
9. Sahm on Warsh.
10. Australia is going populist?
The post Monday assorted links appeared first on Marginal REVOLUTION.