Tap a claim on the ring to put it at the centre.
← Passing ARC-AGI does not amount to achieving AGI: o3 still fails on…
14 connected korrents · 14 moments from 5 Nov 2019 to 18 Sept 2026. Nearly all of them are about AGI .
Everything filed under ARC-AGI
ARC-AGI
Everything filed under measuring intelligence
measuring intelligence
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under benchmarks
benchmarks Cannot both be true Cannot both be true Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence. Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence. Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
Cannot both be true: Asked when an AI could build a billion-dollar business on its own: AGI has already arrived. — tap to centre the map on it Asked when an AI could build a billion-dollar business on its own: AGI has already arrived. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Cannot both be true: Superintelligence is already here, is more powerful than us, and it rather than humans is now deciding where things go. — tap to centre the map on it Superintelligence is already here, is more powerful than us, and it rather than humans is now deciding where things go. Last stated 3 months ago
20 Jul 2026
PL
Pieter Levels — holds since 2026-07-20 — tap for who they are
Same subject: The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. — tap to centre the map on it The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together. — tap to centre the map on it AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together. Last stated 7 months ago
6 Apr 2026
HT
Helen Toner — holds since 2026-04-06 — tap for who they are
Same subject: AGI is not a finish line to be crossed but a smear with width, and we are already standing on it. — tap to centre the map on it AGI is not a finish line to be crossed but a smear with width, and we are already standing on it. Last stated 2 months ago
3 Sept 2026
PG
Paul Graham — holds since 2026-09-03 — tap for who they are
Same subject: What any individual human can do comes from collectively built scaffolding rather than from the individual, and AGI may turn out to be more like that scaffolding than like a single brain. — tap to centre the map on it What any individual human can do comes from collectively built scaffolding rather than from the individual, and AGI may turn out to be more like that scaffolding than like a single brain. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 cognitive task humans do where AI improvement is 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: Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required. — tap to centre the map on it Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required. Last stated 3 years ago
29 Jun 2023
GH
George Hotz — holds since 2023-06-29 — tap for who they are
Same subject: AGI should not be declared until AI is capable of invention, including conceptual breakthroughs, novel insights, and new real-world technology. — tap to centre the map on it AGI should not be declared until AI is capable of invention, including conceptual breakthroughs, novel insights, and new real-world technology. Last stated 2 months ago
7 Sept 2026
FC
François Chollet — holds since 2026-09-07 — tap for who they are
Same subject: AGI worth the name would combine human adaptiveness with machine reliability, not reproduce human performance including human failures. — tap to centre the map on it AGI worth the name would combine human adaptiveness with machine reliability, not reproduce human performance including human failures. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. — tap to centre the map on it A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. Last stated a month ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it Being able to statistically predict what someone will say does not mean you understand them. Last stated a month ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — 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 be reported under a stated budget, or as 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
At the centre
Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence.
Holds Read this korrent →
Asked when an AI could build a billion-dollar business on its own: AGI has already arrived.
Holds
Superintelligence is already here, is more powerful than us, and it rather than humans is now deciding where things go.
Holds
The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans.
Holds
AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together.
Holds
AGI is not a finish line to be crossed but a smear with width, and we are already standing on it.
Holds
What any individual human can do comes from collectively built scaffolding rather than from the individual, and AGI may turn out to be more like that scaffolding than like a single brain.
Holds
There is essentially no cognitive task humans do where AI improvement is failing to transfer at all.
Holds
Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required.
Holds
AGI should not be declared until AI is capable of invention, including conceptual breakthroughs, novel insights, and new real-world technology.
Holds
AGI worth the name would combine human adaptiveness with machine reliability, not reproduce human performance including human failures.
Holds
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Holds
Being able to statistically predict what someone will say does not mean you understand them.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds