Thread
cognitive-surrender
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Choosing to Stay Human
Two RCTs from the same Wharton-adjacent research team flipped on a single design variable: roughly 1,000 Turkish high schoolers using ChatGPT-as-assistant underperformed AI-free controls at test time, while roughly 1,000 Taipei high schoolers using AI-as-tutor scored 0.15 SD higher on an AI-free final (roughly 6-9 months of additional schooling). Same AI, same population shape, opposite cognitive outcomes from problem-solver versus problem-poser configuration. The cognitive surrender debate has been miscast as a willpower problem; the actual lever sits at the procurement layer, currently owned by product managers optimizing engagement metrics rather than the L&D, HR, or operations leaders whose teams will live with the cognitive residue.
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.
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.