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Cognitive offloading

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The Wall Street Journal 2026-10-25-3

AI Splits the American University in Two

Masko argues AI splits the university in two, and a study of 25,000 Chinese students shows why: homework scores rose with AI, then exam scores dropped significantly once the technology was removed. His fix is supervised, AI-free undergraduate assessment. Next to Apollo's 'great calculator', that makes unaided judgment the scarce input; my extension, not his, is that employers could then price a bachelor's that proves it separately from a research degree that proves amplification.

The Economist · 2026-10-20 2026-10-23-w2

AI and scientific paperwork: productivity boon or slop flood

Grants are the version of this problem with no checker at all, which is why the Economist piece matters beside the code stories. A typical application takes about 34 days and succeeds about 20% of the time, so a researcher cutting a day a week to 45 minutes still loses most rounds once rivals do the same. Fabricated citations in 2.5m biomedical papers rose 12-fold to about 0.5%, and ICML submissions doubled to 24,000, with the cost landing on reviewers. Where Postgres has committers and PHP has maintainers, science has reader attention, and no mechanical test to ration it. Triage and digest agents start to look less like conveniences and more like core infrastructure.

Arnaud Bertrand (Substack) 2026-10-21-3

What's left for us after AI? China's thinkers have very different answers

Bertrand argues the Western fear of AI rests on a culturally specific premise that intelligence is what makes us human, as in Homo sapiens. Liu Yongmou inverts it: humanity's biggest problem is the machinization of humans, not the humanization of machines. If coordination work is the first to go, as in Schmidt's flattened firms, the open question is what remains of a person's worth once usefulness is no longer the measure.

The Economist 2026-10-20-3

AI and scientific paperwork: productivity boon or slop flood

Grant writing is the case with no checker at all. A typical application takes about 34 days and succeeds about 20% of the time, so one researcher cutting a day a week to 45 minutes still loses most rounds once rivals do the same. Fabricated citations across 2.5m biomedical papers rose 12-fold to about 0.5%, and ICML submissions doubled to 24,000. The cost lands on reviewers, and effort stops working as a signal of seriousness.