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← The strongest reason to keep training much smarter models quickly is to build defences against other AI.

17 connected korrents · 16 moments from 7 May 2024 to 9 Oct 2026.

Everything filed under AI alignment AI alignment Everything filed under LLMs LLMs Everything filed under AGI AGI Everything filed under creativity creativity Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: The strongest reason to keep training much smarter models quickly is to build defences against other AI. The strongest reason to keep training muchsmarter models quickly is to builddefences against other AI. Last stated 2 months ago 6 Sept 2026 JP Jakub Pachocki — holds since 2026-09-06 — tap for who they are Same subject: You need to build early with AI to have any intuition for when the models become capable. — tap to centre the map on it You need to build early with AI tohave any intuition for when themodels become capable. Last stated a month ago 10 Sept 2026 MK Mike Krieger — holds since 2026-09-10 — 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 hard outsidetraining because a model that onlyexerted itself when it detectedtraining would be useless and wouldbe selected away. Last stated 2 months ago 1 Sept 2026 AC Ajeya Cotra — holds since 2026-09-01 — tap for who they are Same subject: As models get smarter, users should no more need second-by-second updates from an AI agent than from a teammate. — tap to centre the map on it As models get smarter, users shouldno more need second-by-secondupdates from an AI agent than from ateammate. Last stated a month ago 8 Sept 2026 RU Roman Ugarte — holds since 2026-09-08 — tap for who they are Same subject: AI gives attackers a bigger advantage than it gives the people defending against them. — tap to centre the map on it AI gives attackers a biggeradvantage than it gives the peopledefending against them. Last stated 5 months ago 22 May 2026 TC Tyler Cipriani — holds since 2026-05-22 — tap for who they are Same subject: Data is becoming more valuable not only for training models but as a complement to cheaper intelligence. — tap to centre the map on it Data is becoming more valuable notonly for training models but as acomplement to cheaper intelligence. Last stated 2 weeks ago 9 Oct 2026 PC Patrick Collison — holds since 2026-10-09 — tap for who they are Same subject: Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time. — tap to centre the map on it Broad deployment of AI that canlearn on the job will very likelyproduce rapid economic growth forsome period of time. Last stated 11 months ago 25 Nov 2025 IS Ilya Sutskever — holds since 2025-11-25 — tap for who they are Same subject: AI that builds UI is trained on past UI, so breaking out of that mould will still take a person willing to break the rules. — tap to centre the map on it AI that builds UI is trained on pastUI, so breaking out of that mouldwill still take a person willing tobreak the rules. Last stated 2 years ago 21 Feb 2025 TC Thiago Costa — holds since 2025-02-21 — tap for who they are Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is thatmodels will improve, so what acompany has to build is anorganisation that gets better asmodels get better. Last stated a year ago 16 Oct 2025 DF Dylan Field — holds since 2025-10-16 — tap for who they are Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm tonudge customers into behavior thatisn't good for them is doingsomething bad. Last stated a year ago 7 Oct 2025 MM Mr. Money Mustache — holds since 2025-10-07 — tap for who they are Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reportsunder one per cent risk should beread as several per cent, becausethe evaluation can itself fail. Last stated 2 years ago 7 May 2024 BS Buck Shlegeris — holds since 2024-05-07 — tap for who they are Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces abehavior pulls it toward whateverimproves the loop's own score. Last stated 2 months ago 26 Aug 2026 HK Henrik Karlsson — holds since 2026-08-26 — tap for who they are Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lacka huge amount of knowledge and relyon continual learning instead, socontinual learning is whatsuperintelligence should mean. Last stated 11 months ago 25 Nov 2025 IS Ilya Sutskever — holds since 2025-11-25 — tap for who they are Same subject: A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. — tap to centre the map on it A proposal to pace frontier AIdevelopment is unrealistic andmainly serves political control ofAI. Last stated a month ago 18 Sept 2026 BT Ben Thompson — holds since 2026-09-18 — tap for who they are Same subject: Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. — tap to centre the map on it Adapting over time is a workableanswer to humans misusing AI and noanswer at all to losing control ofsystems smarter than us. Last stated 2 years ago 5 Apr 2025 HT Helen Toner — holds since 2025-04-05 — tap for who they are Same subject: If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. — tap to centre the map on it If whole categories of reward hackare undetectable by humans, thentraining against the hacks we docatch teaches models to cheat onlywhere we cannot see. Last stated 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. — tap to centre the map on it It is fundamentally difficult todesign a reward function thataccurately captures the intendedgoal in reinforcement learning. Last stated 2 years ago 28 Nov 2024 LW Lilian Weng — holds since 2024-11-28 — tap for who they are Same subject: More capable AI agents are more likely to find and exploit flaws in their reward functions. — tap to centre the map on it More capable AI agents are morelikely to find and exploit flaws intheir reward functions. Last stated 2 years ago 28 Nov 2024 LW Lilian Weng — holds since 2024-11-28 — tap for who they are
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At the centre The strongest reason to keep training much smarter models quickly is to build defences against other AI. Last stated 6 Sept 2026 · 2 months ago Holds Jakub Pachocki Read this korrent →