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← Most AI lab revenue comes from non-frontier models, where cheaper…
17 connected korrents · 16 moments on record from 5 Nov 2019 to 15 Sept 2026.
Everything filed under AI and jobs
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measuring intelligence 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: Most AI lab revenue comes from non-frontier models, where cheaper comparable alternatives already exist elsewhere. Most AI lab revenue comes from non-frontier models, where cheaper comparable alternatives already exist elsewhere. Last stated 4 weeks ago
26 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-26 — tap for who they are
Same subject: An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. — tap to centre the map on it An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. Last stated a year ago
15 Aug 2025
CH
Casey Handmer — holds since 2025-08-15 — tap for who they are
Same subject: The best-performing AI model in a category earns outsized pricing power over models that are merely close to it. — tap to centre the map on it The best-performing AI model in a category earns outsized pricing power over models that are merely close to it. Last stated a week ago
14 Sept 2026
BH
Byrne Hobart — holds since 2026-09-14 — tap for who they are
Same subject: A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. — tap to centre the map on it A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. Last stated 7 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — 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 2 weeks ago
10 Sept 2026
KD
Kent C. Dodds — holds since 2026-09-10 — 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: Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world. — tap to centre the map on it Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue. — tap to centre the map on it Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue. Last stated 5 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: There is no private evidence behind frontier-lab confidence in fast AI progress; the evidence is public and outsiders have simply not absorbed it. — tap to centre the map on it There is no private evidence behind frontier-lab confidence in fast AI progress; the evidence is public and outsiders have simply not absorbed it. Last stated 2 years ago
20 Dec 2024
MB
Miles Brundage — holds since 2024-12-20 — tap for who they are
Same subject: A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about. — tap to centre the map on it A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about. Last stated 6 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: A productivity improvement means fewer people doing the same job, and that should be said plainly by the people defending it as good. — tap to centre the map on it A productivity improvement means fewer people doing the same job, and that should be said plainly by the people defending it as good. Last stated 4 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: A universal basic income is a dangerous power-sharing arrangement, because it puts everyone's basic needs at the mercy of whoever holds office. — tap to centre the map on it A universal basic income is a dangerous power-sharing arrangement, because it puts everyone's basic needs at the mercy of whoever holds office. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — 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 6 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: "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 model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. — tap to centre the map on it A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
At the centre
Most AI lab revenue comes from non-frontier models, where cheaper comparable alternatives already exist elsewhere.
Holds Read this korrent →
An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans.
Holds
The best-performing AI model in a category earns outsized pricing power over models that are merely close to it.
Holds
A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months.
Holds
More AI models that deliver top-tier performance at lower cost are needed.
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
Frontier models must be cheap enough for anyone to use, because a world in which they are rationed to the wealthiest developers is the wrong world.
Holds
Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue.
Holds
There is no private evidence behind frontier-lab confidence in fast AI progress; the evidence is public and outsiders have simply not absorbed it.
Holds
A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about.
Holds
A productivity improvement means fewer people doing the same job, and that should be said plainly by the people defending it as good.
Holds
A universal basic income is a dangerous power-sharing arrangement, because it puts everyone's basic needs at the mercy of whoever holds office.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
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
"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 model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget.
Holds