"Henrich, by contrast, posits the following [time] sequence: 4. culture, 3. cooperation, 2. language, 1. intelligence. This is the exciting hypothesis that has been generating interest and attention over the past few decades."
Two accounts of human evolution, that are each other’s exact opposite. Only one can be correct. Joseph Heath explains which one, and why: buff.ly/35NxmmK
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Robin Hanson retweeted
Me+@econJaredB are out w/ a new piece examining how much revenue is needed to justify hyperscaler AI capex. We estimate that incremental AI revenue is currently b/n $86-$188.1B for the hyperscalers, but they need $13.1-$18.7 *trillion* over the next decade for that to pencil out.
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The hard part about putting on a spare tire when a tire blew was finding where the jack was to fit under the car. Took 3 tries to find it, and that was in daylight n pleasant weather. Make it easier folks!
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"extremely competent AI … but can’t … bypass every security control it finds in its way. … we’d expect … major security incidents … entirely preventable by following good cybersecurity practices … [that] have almost nothing to do with the policy proposals currently coming from the so-called AI safety advocates."
AI Doom Is Not Cybersecurity Smart piece from @ZackKorman quillette.com/2026/09/24/the…
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This is one of the many ways that the professed goal of intellectual progress comes apart from the more heart-felt goal of max personal prestige.
I see why Tao is so sad. The era of Einstein and Feynman is over for math. It’s now the era of the 1,000 person Higgs boson team. Every mathematician now drifts towards engineering.
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"Chinese … labs are actually far less coordinated than US labs are"
Fantastic essay about Chinese AI labs: “If there is one thing I’d want to delete from the American discourse, it’s the phrase “China’s AI strategy.” Every single meeting, be it labs, investors, media, all independently, without my prompting, described domestic competition as more brutal than competing with American labs. When I described the US framing of Chinese AI as a coordinated bloc moving at the direction of the state, people laughed. Not defensively. They found it funny. I was called a stupid ABC (American-born Chinese) more than once because of this. These labs are actually far less coordinated than US labs are, which should have been obvious to anyone who watched the previous cycles of Chinese tech. I said no analogies, but I’ll allow one because it’s theirs. The last cycle had a name: 百团大战, the War of a Hundred Groupons (it was actually 5000). Hundreds of group-buying companies raised money, undercut each other into oblivion, and Meituan emerged as the victor. This cycle already has one too: 百模大战, the War of a Hundred Models. What actually exists is an ecosystem of labs relentlessly undercutting each other on price, stealing each other’s researchers, raising against each other, and trying to win a local arms race. Hundreds of labs and neolabs have raised, died, and been replaced, continuously. The things we experience in the US as hostile acts are mostly the exhaust of that domestic fight. The distillation attacks and the collapsing token prices are not a strategy aimed at American incumbents. They are what a hundred companies do to each other when none of them can win and none of them can stop.”
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People often think that seeing celebrity interviews and scenes from ordinary life will give them insight into what makes them special. But special people are usually so via overwhelming focus on areas that make them special. They've put little energy into ordinary areas.
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Andor was great at showing why people might hate a regime, and how hard it can be to coordinate a rebellion. But as rebels put off planning for what comes after, hard to have much confidence that rebellion would actually be worth the cost.
'Andor' premiered 4 years ago today
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The problem is that in our high-dimensional social spaces, there's a huge volume of people even a small radius away. Pretty hard to police all that volume.
In Defense of Guilt by Association: Judging people by the company they keep is actually a very good determinant of their character. Latest me, for @theatlantic: theatlantic.com/ideas/2026/0…
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Reminder: if you are of the opinion that topic Y is of more importance and interest than currently popular topic X, you'll have far more success promoting that opinion via talking about Y, vs. dumping on X.
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Robin Hanson retweeted
"Increasing the capital share from 0.33 to 0.6 multiplies wages by nearly five."
A simple point that many economists miss (and nearly all non-economists) is that a falling labor share and rising wages are not in tension. In fact, it is what we should expect when the capital share rises, and capital is free to accumulate. The reason is intuitive. In the long run, the supply of capital is perfectly elastic at a gross return determined by depreciation and the discount rate: households accumulate or run down capital until its return is back there. In comparison, the supply of labor is much more inelastic. That means the gains from a technological change that makes capital more important in production (short of making it the only factor) end up with the inelastic factor, not the elastic one. In the long run, capital owners cannot get a rent from a higher capital share of output, only a compensation for their patience. We learned that from David Ricardo over two hundred years ago! To see this, consider the textbook neoclassical growth model with log utility (not needed, but it makes things easy). In the table below, I compute the steady-state wage for different values of the capital share. Increasing the capital share from 0.33 to 0.6 multiplies wages by nearly five. Capital owners receive a much larger slice of output, but the net rate of return stays at 4.7%: all the extra income has gone into more capital. Now, you might not want capital owners to have so much capital for political reasons (rich people have a curious habit of buying newspapers), but that has nothing to do with wages being lower. They are higher. I learned this lesson the hard way many years ago with my paper “Bargaining Shocks and Aggregate Fluctuations” with Thorsten Drautzburg and @pablo_guerron in the JEDC. We gave more bargaining power to capital owners (in our model, wages were not set competitively but through Nash bargaining), and workers ended up with higher wages! The logic is the same: give capital owners more power, and they compete it away. Karl Marx, by the way, already understood this. He was a much better economist than 99.99% of his followers and admirers. Like all results, this one has exceptions: I can think of environments where a technological change that makes capital more important in production does not raise wages. And the transitional dynamics can get tricky. But the basic logic is hard to escape.
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"ignorance substantially increases self-serving but potentially untruthful reporting behavior" d.repec.org/n?u=RePEc:ces:ce…
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