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← Being able to statistically predict what someone will say does not mean you understand them.

17 connected korrents · 14 moments from 24 Feb 2018 to 1 Oct 2026.

Everything filed under LLMs LLMs Everything filed under AGI AGI Everything filed under OpenAI OpenAI Everything filed under reinforcement learning reinforcement learning Everything filed under AI alignment AI alignment Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Being able to statistically predict what someone will say does not mean you understand them. Being able to statistically predict whatsomeone will say does not mean youunderstand them. Last stated 2 weeks ago 18 Sept 2026 CD Cory Doctorow — holds since 2026-09-18 — tap for who they are Same subject: A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. — tap to centre the map on it A language model can predict what aperson would say but not what willhappen, and only the second of thoseis a model of the world. Last stated a year ago 26 Sept 2025 RS Richard Sutton — holds since 2025-09-26 — tap for who they are Same subject: Large language models are merely stochastic parrots that predict the next token. — tap to centre the map on it Large language models are merelystochastic parrots that predict thenext token. Last stated 6 days ago 26 Sept 2026 NS Noah Smith — holds since 2026-09-26 — tap for who they are Same subject: Explanatory text and jargon generated by machines for readers with different levels of understanding makes communication worse. — tap to centre the map on it Explanatory text and jargongenerated by machines for readerswith different levels ofunderstanding makes communicationworse. Last stated 2 months ago 12 Aug 2026 VB Vicki Boykis — holds since 2026-08-12 — tap for who they are Same subject: Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew. — tap to centre the map on it Large language models are a bad wayto do science, because they havebeen fed so much that nobody knowswhat they already knew. Last stated a year ago 26 Sept 2025 RS Richard Sutton — holds since 2025-09-26 — tap for who they are Same subject: Traditional recommender systems predict user behavior well but cannot be steered via natural language or explain their own reasoning. — tap to centre the map on it Traditional recommender systemspredict user behavior well butcannot be steered via naturallanguage or explain their ownreasoning. Last stated a year ago 14 Sept 2025 EY Eugene Yan — holds since 2025-09-14 — tap for who they are Same subject: A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. — tap to centre the map on it A language model's apparent mind ismostly our own bias: it predictstext, and leverages our evolvedhabit of attributing intentionalityto anything that acts human. Last stated 2 years ago 22 Apr 2024 SC Sean Carroll — holds since 2024-04-22 — tap for who they are Same subject: Language models frequently provide inaccurate information. — tap to centre the map on it Language models frequently provideinaccurate information. Last stated yesterday 1 Oct 2026 GO Gergely Orosz — holds since 2026-10-01 — tap for who they are Same subject: A deep theoretical understanding to predict AI behavior is unattainable. — tap to centre the map on it A deep theoretical understanding topredict AI behavior is unattainable. Last stated a week ago 23 Sept 2026 TC Tyler Cowen — holds since 2026-09-23 — 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: Agents are going to be incorporated into mainstream interfaces — tap to centre the map on it Agents are going to be incorporatedinto mainstream interfaces Last stated 6 months ago 25 Mar 2026 DH David Heinemeier Hansson — holds since 2026-03-25 — tap for who they are Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supplychain should just buy the index —which works only in the world whereAI ends up commoditised rather thanconcentrated. Last stated 4 months ago 4 Jun 2026 AI Alex Imas — holds since 2026-06-04 — tap for who they are Same subject: A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. — tap to centre the map on it A poor country should prioritiseowning a piece of AI over retrainingits workers, but it should not beteverything on that. Last stated 4 months ago 4 Jun 2026 PT Phil Trammell — holds since 2026-06-04 — tap for who they are Same subject: A slow takeoff is significantly more likely than a fast one: AI that is nearly as powerful will have transformed the world before the incredibly powerful kind arrives. — tap to centre the map on it A slow takeoff is significantly morelikely than a fast one: AI that isnearly as powerful will havetransformed the world before theincredibly powerful kind arrives. Last stated 9 years ago 24 Feb 2018 PC Paul Christiano — holds since 2018-02-24 — tap for who they are Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs threeAIs, not one — the agent, thesimulator and the critic — turningdeployment into a flywheel. Last stated 2 months ago 3 Aug 2026 DD Dmitri Dolgov — holds since 2026-08-03 — tap for who they are Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimisedby reinforcement learning until aneural network performs it extremelywell. Last stated 10 months ago 17 Nov 2025 AK Andrej Karpathy — holds since 2025-11-17 — tap for who they are Same subject: Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. — tap to centre the map on it Building a realistic simulator isexactly as hard as building theagent, because the simulator isitself a large AI model. Last stated 2 months ago 3 Aug 2026 DD Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
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At the centre Being able to statistically predict what someone will say does not mean you understand them. Last stated 18 Sept 2026 · 2 weeks ago Holds Cory Doctorow Read this korrent →