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← Today's models are the student who drilled 10,000 hours for the…
17 connected korrents · 13 moments from 3 Oct 2012 to 21 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under measuring intelligence
measuring intelligence
Everything filed under OpenAI
OpenAI
Everything filed under AI and jobs
AI and jobs
Everything filed under design
design
Everything filed under recursive self-improvement
recursive self-improvement 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: Today's models are the student who drilled 10,000 hours for the programming contest, which is exactly why what they learn does not carry anywhere else. Today's models are the student who drilled 10,000 hours for the programming contest, which is exactly why what they learn does not carry anywhere else. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: Existing AI models are already more than good enough, doing more for writing code than the author can make use of. — tap to centre the map on it Existing AI models are already more than good enough, doing more for writing code than the author can make use of. Last stated a month ago
8 Sept 2026
GO
Gergely Orosz — holds since 2026-09-08 — 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 a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: A model can make an existing algorithm a hundred times faster and still cannot invent a better one, however long you give it. — tap to centre the map on it A model can make an existing algorithm a hundred times faster and still cannot invent a better one, however long you give it. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. — tap to centre the map on it Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — 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: A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck. — tap to centre the map on it There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. — tap to centre the map on it There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — 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 yesterday
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
Today's models are the student who drilled 10,000 hours for the programming contest, which is exactly why what they learn does not carry anywhere else.
Holds Read this korrent →
Existing AI models are already more than good enough, doing more for writing code than the author can make use of.
Holds
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
A model can make an existing algorithm a hundred times faster and still cannot invent a better one, however long you give it.
Holds
Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever.
Holds
The fundamentals matter way more than how quickly someone works, how many tools they use, or how they optimise for the models.
Holds
A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.
Holds
There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck.
Holds
There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate.
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