korrents

On the map

Tap a claim on the ring to put it at the centre.

← Current AI models are significantly less sample efficient than humans.

17 connected korrents · 17 moments from 14 Dec 2023 to 21 Oct 2026.

Everything filed under LLMs LLMs Everything filed under scaling laws scaling laws Everything filed under AI writing AI writing Everything filed under OpenAI OpenAI Everything filed under AI and science AI and science Everything filed under AGI AGI Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Current AI models are significantly less sample efficient than humans. Current AI models are significantly lesssample efficient than humans. Last stated 4 months ago 19 Jun 2026 DP Dwarkesh Patel — holds since 2026-06-19 — tap for who they are Same subject: Current AI models still fall short of expert human performance. — tap to centre the map on it Current AI models still fall shortof expert human performance. Last stated 2 years ago 27 Jan 2025 NE Nelson Elhage — holds since 2025-01-27 — tap for who they are Same subject: The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves. — tap to centre the map on it The human data an AI model wouldneed to predict trial outcomes canonly come from trials in people, sothe loop runs no faster than thetrials themselves. Last stated 8 months ago 28 Feb 2026 RT Ruxandra Teslo — holds since 2026-02-28 — tap for who they are Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existingAI models are barely being used andare often not even well understood. Last stated a month ago 18 Sept 2026 EM Ethan Mollick — holds since 2026-09-18 — tap for who they are Same subject: Today's models see a thousand times more data than an eighteen-year-old and are no better for it, so far more data-efficient algorithms must be possible. — tap to centre the map on it Today's models see a thousand timesmore data than an eighteen-year-oldand are no better for it, so farmore data-efficient algorithms mustbe possible. Last stated 3 months ago 30 Jul 2026 JD Jeff Dean — holds since 2026-07-30 — tap for who they are Same subject: Human brains are doing something fundamentally different from today's AI, and the evidence is that they run on roughly twenty watts. — tap to centre the map on it Human brains are doing somethingfundamentally different from today'sAI, and the evidence is that theyrun on roughly twenty watts. Last stated 3 years ago 14 Dec 2023 JB Jeff Bezos — holds since 2023-12-14 — tap for who they are Same subject: Scaling up spending on expert human data has not been a major driver of progress in AI research. — tap to centre the map on it Scaling up spending on expert humandata has not been a major driver ofprogress in AI research. Last stated 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: AI systems are better than humans at coordinating with each other, and they move much faster than humans do. — tap to centre the map on it AI systems are better than humans atcoordinating with each other, andthey move much faster than humansdo. Last stated 2 months ago 31 Aug 2026 JC Jack Clark — holds since 2026-08-31 — tap for who they are Same subject: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. — tap to centre the map on it AI models can be more accurate thanphysical experiments by averagingout noise, incorporating priors fromlarge datasets, and interpolatingbetween data points. Last stated 11 months ago 23 Nov 2025 EH Elliot Hershberg — holds since 2025-11-23 — tap for who they are Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found withGPT-5.6 Sol will cause havoc thisweek. Last stated 4 days ago 21 Oct 2026 PS Peter Steinberger — holds since 2026-10-21 — tap for who they are Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as anonprofit and bolt a for-profit armon later, whatever OpenAI's ownhistory suggests. Last stated 3 years ago 18 Mar 2024 SA Sam Altman — holds since 2024-03-18 — tap for who they are Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phasefor the internet but a momentaryindustry, and an AI people pay foris better because they know theanswers are not influenced byadvertisers. Last stated 3 years ago 18 Mar 2024 SA Sam Altman — holds since 2024-03-18 — tap for who they are Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because itwas one word: naming a researchdirection is what tells a wholefield what to do next. Last stated 11 months ago 25 Nov 2025 IS Ilya Sutskever — holds since 2025-11-25 — tap for who they are Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should bereported under a stated budget, oras a curve against test-time compute— never as a single number. Last stated 4 months ago 26 Jun 2026 NB Noam Brown — holds since 2026-06-26 — tap for who they are Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of itscompute on research rather than onbuilding the next model, becauseresearch is where the tenfold yearlyefficiency gains come from. Last stated 7 months ago 13 Mar 2026 DP Dylan Patel — holds since 2026-03-13 — tap for who they are Same subject: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-writtenstrategy memo is modelling that itis fine to outsource thinking andstrategy. Last stated 4 weeks ago 27 Sept 2026 MG Molly Graham — holds since 2026-09-27 — tap for who they are Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers withany error rate at all becomesinsufferable, because finding theerror costs more than the paper isworth even at ninety-nine percent. Last stated 4 months ago 30 Jun 2026 GS Grant Sanderson — holds since 2026-06-30 — tap for who they are Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes workthat used to take weeks to build. Last stated 5 months ago 26 May 2026 CB Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
same subject or similar wordinga cloud: claims about one subject, named for itbar: when it was last stated, on a scale from 2015 to today — full is todaya face: someone who holds the claim — tap it for who they are

At the centre Current AI models are significantly less sample efficient than humans. Last stated 19 Jun 2026 · 4 months ago Holds Dwarkesh Patel Read this korrent →