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← The current capabilities of existing AI models are barely being used and are often not even well understood.
17 connected korrents · 18 moments on record from 14 Mar 2019 to 18 Sept 2026.
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AI alignment Same subject Same subject Same subject Same subject Same subject 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: The current capabilities of existing AI models are barely being used and are often not even well understood. The current capabilities of existing AI models are barely being used and are often not even well understood. Last stated 2 days ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — tap for who they are
Same subject: More AI models that deliver top-tier performance at lower cost are needed. — tap to centre the map on it More AI models that deliver top-tier performance at lower cost are needed. Last stated a week ago
10 Sept 2026
KD
Kent C. Dodds — holds since 2026-09-10 — tap for who they are
Same subject: Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. — tap to centre the map on it Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. — tap to centre the map on it The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — 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 outside training because a model that only exerted itself when it detected training would be useless and would be selected away. Last stated 3 weeks ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Existing AI models were already more than good enough for writing code and do more than can be utilized from them. — tap to centre the map on it Existing AI models were already more than good enough for writing code and do more than can be utilized from them. Last stated 2 weeks ago
8 Sept 2026
GO
Gergely Orosz — holds since 2026-09-08 — tap for who they are
Same subject: No one fully understands the consequences of how capable AI is becoming. — tap to centre the map on it No one fully understands the consequences of how capable AI is becoming. Last stated 3 weeks ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: Nobody can yet know whether the current enthusiasm for AI is excessive, so anyone claiming conviction about how it resolves is overreaching. — tap to centre the map on it Nobody can yet know whether the current enthusiasm for AI is excessive, so anyone claiming conviction about how it resolves is overreaching. Last stated a month ago
20 Aug 2026
AD
Aswath Damodaran — holds since 2026-08-20 — tap for who they are
HM
Howard Marks — holds since 2025-12-09 — tap for who they are
Same subject: People disagreeing about AI capability are speaking past each other, because they are using models of very different tiers on very different kinds of task. — tap to centre the map on it People disagreeing about AI capability are speaking past each other, because they are using models of very different tiers on very different kinds of task. Last stated 5 months ago
9 Apr 2026
AK
Andrej Karpathy — holds since 2026-04-09 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 5 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — 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: Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce. — tap to centre the map on it Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce. Last stated 3 years ago
29 Jun 2023
GH
George Hotz — holds since 2023-06-29 — 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 it was one word: naming a research direction is what tells a whole field 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
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 3 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 its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. — tap to centre the map on it A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A company that will not accept a project’s terms is free to go and use a more permissive project instead. — tap to centre the map on it A company that will not accept a project’s terms is free to go and use a more permissive project instead. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource. — tap to centre the map on it A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource. Last stated 5 years ago
17 Mar 2022
FV
Filippo Valsorda — holds since 2022-03-17 — tap for who they are
NA
Nadia Asparouhova — holds since 2019-03-14 — tap for who they are
At the centre
The current capabilities of existing AI models are barely being used and are often not even well understood.
Holds Read this korrent →
More AI models that deliver top-tier performance at lower cost are needed.
Holds
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists.
Holds
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.
Holds
Existing AI models were already more than good enough for writing code and do more than can be utilized from them.
Holds
No one fully understands the consequences of how capable AI is becoming.
Holds
Nobody can yet know whether the current enthusiasm for AI is excessive, so anyone claiming conviction about how it resolves is overreaching.
Holds
People disagreeing about AI capability are speaking past each other, because they are using models of very different tiers on very different kinds of task.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
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
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.
Holds
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Holds
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Holds
A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource.
Holds