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← Every machine-learning deployment that has paid off so far left a…

8 connected korrents · 7 moments on record from 24 Jan 2025 to 1 Sept 2026.

Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Every machine-learning deploymentthat has paid off so far left aperson making the decision, which isthe only reason imperfect modelswere useful. CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough. — tap to centre the map on it AI's business results arelagging because organisationshave a low tolerance fornon-determinism, not because… SY Steve Yegge — holds since 2026-03-11 — tap for who they are Same subject: Building AI that can actually be trusted is the goal; containing an AI known to be misaligned is not a substitute for it. — tap to centre the map on it Building AI that can actuallybe trusted is the goal;containing an AI known to bemisaligned is not a substitute… JL Jan Leike — holds since 2025-01-24 — tap for who they are Same subject: Consumer AI that is right 90% of the time delights people; industrial AI that is right 90% of the time is 100% dissatisfaction. — tap to centre the map on it Consumer AI that is right 90%of the time delights people;industrial AI that is right90% of the time is 100%… JH Jensen Huang — holds since 2026-01-08 — tap for who they are Same subject: Physical AI has to make far fewer mistakes than any AI deployed so far, because it is only useful when it acts autonomously on the world. — tap to centre the map on it Physical AI has to make farfewer mistakes than any AIdeployed so far, because it isonly useful when it acts… CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least. — tap to centre the map on it Which AI features users willlove is genuinelyunpredictable, and the ones afounder is most confident… RV Rahul Vohra — holds since 2025-03-23 — tap for who they are Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hardoutside training because amodel that only exerted itselfwhen it detected training… AC Ajeya Cotra — holds since 2026-09-01 — tap for who they are Same subject: Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. — tap to centre the map on it Letting a robot imagine thenext image helps, but it isnot essential — the model wassurprisingly good without it. CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. — tap to centre the map on it AI helps exactly as far as thework is predictable and welldocumented, and stops helpingon anything cutting edge. TH ThePrimeagen — holds since 2025-03-22 — tap for who they are
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At the centre Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Holds Chelsea Finn Read this korrent →