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← People are eager to optimize and put AI in even more places due to the zeitgeist that AI is too expensive and slow.
17 connected korrents · 18 moments on record from 14 Mar 2019 to 18 Sept 2026.
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AI agents 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: People are eager to optimize and put AI in even more places due to the zeitgeist that AI is too expensive and slow. People are eager to optimize and put AI in even more places due to the zeitgeist that AI is too expensive and slow. Last stated yesterday
18 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-18 — tap for who they are
Same subject: The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply. — tap to centre the map on it The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply. Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — 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: The AI industry needs far more regulation and probably some sort of enforceable slowdown. — tap to centre the map on it The AI industry needs far more regulation and probably some sort of enforceable slowdown. Last stated 4 days ago
15 Sept 2026
NS
Nate Silver — holds since 2026-09-15 — 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 is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. Last stated 7 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: Modern society has become so good at optimising everything that it risks optimising away serendipity, which is a real cost and not a sentimental one. — tap to centre the map on it Modern society has become so good at optimising everything that it risks optimising away serendipity, which is a real cost and not a sentimental one. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — 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 4 weeks 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: 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: Public discussion of AI is skewed because the people who understand the technology talk down to everyone else. — tap to centre the map on it Public discussion of AI is skewed because the people who understand the technology talk down to everyone else. Last stated a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — 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 4 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — 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: Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one. — tap to centre the map on it Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one. Last stated 12 months ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — 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
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
At the centre
People are eager to optimize and put AI in even more places due to the zeitgeist that AI is too expensive and slow.
Holds Read this korrent →
The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply.
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
The AI industry needs far more regulation and probably some sort of enforceable slowdown.
Holds
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.
Holds
Modern society has become so good at optimising everything that it risks optimising away serendipity, which is a real cost and not a sentimental one.
Holds
Nobody can yet know whether the current enthusiasm for AI is excessive, so anyone claiming conviction about how it resolves is overreaching.
Holds
More AI models that deliver top-tier performance at lower cost are needed.
Holds
Public discussion of AI is skewed because the people who understand the technology talk down to everyone else.
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
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
Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one.
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
"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