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← The most fundamental thing wrong with today's models is not scale or…
17 connected korrents · 15 moments from 3 Oct 2012 to 21 Oct 2026.
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economists 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 most fundamental thing wrong with today's models is not scale or efficiency but that they generalize dramatically worse than people do. The most fundamental thing wrong with today's models is not scale or efficiency but that they generalize dramatically worse than people do. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The fundamentals matter way more than how quickly someone works, how many tools they use, or how they optimise for the models. — tap to centre the map on it The fundamentals matter way more than how quickly someone works, how many tools they use, or how they optimise for the models. Last stated 2 months ago
25 Aug 2026
JB
John Bai — holds since 2026-08-25 — tap for who they are
Same subject: Today’s models are already powerful enough to add many points of GDP growth; what is missing is people with the vision and ambition to apply them. — tap to centre the map on it Today’s models are already powerful enough to add many points of GDP growth; what is missing is people with the vision and ambition to apply them. Last stated 3 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: Today's models are severely under-elicited: they are far more capable than the way we currently ask them makes them look. — tap to centre the map on it Today's models are severely under-elicited: they are far more capable than the way we currently ask them makes them look. Last stated 2 years ago
8 Nov 2024
JL
Jan Leike — holds since 2024-11-08 — tap for who they are
Same subject: Current models are unsafe because they are not smart enough, not because they are too smart. — tap to centre the map on it Current models are unsafe because they are not smart enough, not because they are too smart. Last stated a month ago
13 Sept 2026
FC
François Chollet — holds since 2026-09-13 — tap for who they are
Same subject: A model may have a worldview of its own, but it can never be placed above a person under any circumstance. — tap to centre the map on it A model may have a worldview of its own, but it can never be placed above a person under any circumstance. Last stated 5 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: Competition that removes differentiation makes everyone worse off, because it assumes people already know what they want. — tap to centre the map on it Competition that removes differentiation makes everyone worse off, because it assumes people already know what they want. Last stated 10 months ago
9 Dec 2025
RS
Rory Sutherland — holds since 2025-12-09 — 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 3 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: AI models are not commodities, and people who think they are fungible have not actually used them. — tap to centre the map on it AI models are not commodities, and people who think they are fungible have not actually used them. Last stated 2 months ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — 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 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: AGI research made no progress in its first six decades. — tap to centre the map on it AGI research made no progress in its first six decades. Last stated 14 years ago
3 Oct 2012
DD
David Deutsch — holds since 2012-10-03 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 2 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 11 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 4 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
The most fundamental thing wrong with today's models is not scale or efficiency but that they generalize dramatically worse than people do.
Holds Read this korrent →
The fundamentals matter way more than how quickly someone works, how many tools they use, or how they optimise for the models.
Holds
Today’s models are already powerful enough to add many points of GDP growth; what is missing is people with the vision and ambition to apply them.
Holds
Today's models are severely under-elicited: they are far more capable than the way we currently ask them makes them look.
Holds
Current models are unsafe because they are not smart enough, not because they are too smart.
Holds
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
Holds
Competition that removes differentiation makes everyone worse off, because it assumes people already know what they want.
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
AI models are not commodities, and people who think they are fungible have not actually used them.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
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
AGI research made no progress in its first six decades.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
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