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← Today's AI systems are significantly under-elicited for their ability to automate AI R&D.

17 connected korrents · 15 moments from 19 Dec 2023 to 27 Sept 2026.

Everything filed under LLMs LLMs Everything filed under AI and science AI and science Everything filed under recursive self-improvement recursive self-improvement Everything filed under AI agents AI agents Everything filed under AGI AGI Everything filed under humility humility Everything filed under scaling laws scaling laws Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Today's AI systems are significantly under-elicited for their ability to automate AI R&D. Today's AI systems are significantlyunder-elicited for their ability toautomate AI R&D. Last stated 2 months ago 10 Aug 2026 JC Jack Clark — holds since 2026-08-10 — tap for who they are Same subject: AI agents trained on an expert's published work can only automate a small fraction of that expert's actual job. — tap to centre the map on it AI agents trained on an expert'spublished work can only automate asmall fraction of that expert'sactual job. Last stated 10 months ago 27 Nov 2025 BG Brendan Gregg — holds since 2025-11-27 — 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 2 weeks ago 18 Sept 2026 EM Ethan Mollick — holds since 2026-09-18 — tap for who they are Same subject: Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. — tap to centre the map on it Society has catching up to do: AI isincredibly powerful and not alwaysright, and people who argue 'but myagent said so' have not learned thatyet. Last stated 8 months ago 12 Feb 2026 PS Peter Steinberger — holds since 2026-02-12 — tap for who they are Same subject: Having the very best AI model and harness does not result in better or faster execution and can slow teams down — tap to centre the map on it Having the very best AI model andharness does not result in better orfaster execution and can slow teamsdown Last stated 2 weeks ago 19 Sept 2026 GO Gergely Orosz — holds since 2026-09-19 — tap for who they are Same subject: AI models are not yet capable of developing novel offensive cyber capabilities. — tap to centre the map on it AI models are not yet capable ofdeveloping novel offensive cybercapabilities. Last stated a week ago 23 Sept 2026 ZM Zvi Mowshowitz — holds since 2026-09-23 — tap for who they are Same subject: Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. — tap to centre the map on it Today's AI systems are highlycapable at engineering but lack theintuitive creativity needed to begood researchers, tending towardrote, formulaic thinking. Last stated 2 months ago 3 Aug 2026 JC Jack Clark — holds since 2026-08-03 — tap for who they are Same subject: There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. — tap to centre the map on it There is essentially no cognitivetask humans do where AI improvementis failing to transfer at all. Last stated 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: Probably nobody has yet figured out how to measure the outcomes of AI-assisted product work. — tap to centre the map on it Probably nobody has yet figured outhow to measure the outcomes ofAI-assisted product work. Last stated 3 weeks ago 10 Sept 2026 TY Tamar Yehoshua — holds since 2026-09-10 — tap for who they are Same subject: As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves. — tap to centre the map on it As AI systems get better atscientific research tasks, itbecomes more likely they will soonbe capable of improving and buildingthemselves. Last stated 2 months ago 17 Aug 2026 JC Jack Clark — holds since 2026-08-17 — tap for who they are Same subject: Human parity on discovery benchmarks like DiG-bench will be reached by mid-2027, marking the point where recursive self-improvement in AI seriously kicks off. — tap to centre the map on it Human parity on discovery benchmarkslike DiG-bench will be reached bymid-2027, marking the point whererecursive self-improvement in AIseriously kicks off. Last stated 2 months ago 17 Aug 2026 JC Jack Clark — holds since 2026-08-17 — tap for who they are Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is notby itself a reason to expect it todo better in the clinic. Last stated 2 years ago 13 May 2024 DL Derek Lowe — holds since 2024-05-13 — tap for who they are Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursiveself-improvement loop — what thelabs have shipped in recent weeksshows the cycle has started. Last stated 2 months ago 3 Aug 2026 CP Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are Same subject: AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automatedaround 2030 or 2031, and AI willbeat humans at essentially any jobby about 2033. Last stated 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: AI self-improvement may not be powerful enough to overcome diminishing returns. — tap to centre the map on it AI self-improvement may not bepowerful enough to overcomediminishing returns. Last stated 6 days ago 27 Sept 2026 RN Ramez Naam — holds since 2026-09-27 — tap for who they are Same subject: Breakthroughs achieved with massive compute are typically achieved using it inefficiently. — tap to centre the map on it Breakthroughs achieved with massivecompute are typically achieved usingit inefficiently. Last stated 3 years ago 19 Dec 2023 SR Sebastian Ruder — holds since 2023-12-19 — tap for who they are Same subject: Solving one Olympiad problem with three days of Google's server time shows what is possible, but the approach does not scale. — tap to centre the map on it Solving one Olympiad problem withthree days of Google's server timeshows what is possible, but theapproach does not scale. Last stated a year ago 14 Jun 2025 TT Terence Tao — holds since 2025-06-14 — 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 10 months ago 25 Nov 2025 IS Ilya Sutskever — holds since 2025-11-25 — tap for who they are
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At the centre Today's AI systems are significantly under-elicited for their ability to automate AI R&D. Last stated 10 Aug 2026 · 2 months ago Holds Jack Clark Read this korrent →