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← Pattern recognition and replication is fundamentally what machine-learning systems do best.
17 connected korrents · 14 moments on record from 18 Mar 2024 to 16 Sept 2026.
Everything filed under code generation
code generation
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AGI
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AI alignment
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OpenAI
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China
Everything filed under AI and jobs
AI and jobs 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: Pattern recognition and replication is fundamentally what machine-learning systems do best. Pattern recognition and replication is fundamentally what machine-learning systems do best. Last stated a month ago
10 Aug 2026
AH
Ann Handley — holds since 2026-08-10 — tap for who they are
Same subject: AI is at its best when it reuses great existing components rather than regenerating everything from first principles. — tap to centre the map on it AI is at its best when it reuses great existing components rather than regenerating everything from first principles. Last stated 2 weeks ago
8 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-08 — tap for who they are
Same subject: AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone. — tap to centre the map on it AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone. Last stated a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — 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: Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. — tap to centre the map on it Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. Last stated 5 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: The language best suited to AI is simply the one the models have seen most of in training, which is why they do so well on JavaScript, TypeScript and Python. — tap to centre the map on it The language best suited to AI is simply the one the models have seen most of in training, which is why they do so well on JavaScript, TypeScript and Python. Last stated 4 months ago
13 May 2026
AH
Anders Hejlsberg — holds since 2026-05-13 — tap for who they are
Same subject: Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates. — tap to centre the map on it Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates. Last stated 9 months ago
1 Jan 2026
DA
Dario Amodei — holds since 2026-01-01 — tap for who they are
Same subject: There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe. — tap to centre the map on it There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. — tap to centre the map on it Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. Last stated 8 months ago
22 Jan 2026
JL
Jan Leike — holds since 2026-01-22 — tap for who they are
Same subject: A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year. — tap to centre the map on it A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year. Last stated 2 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: Agent-generated pull requests have exploded in size with no signs of slowing down — tap to centre the map on it Agent-generated pull requests have exploded in size with no signs of slowing down Last stated 5 days ago
16 Sept 2026
GO
Gergely Orosz — holds since 2026-09-16 — tap for who they are
Same subject: Agents are the new compilers that compile intent into fast software. — tap to centre the map on it Agents are the new compilers that compile intent into fast software. Last stated a week ago
12 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-12 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. — tap to centre the map on it A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. Last stated 4 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — 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: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — 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
At the centre
Pattern recognition and replication is fundamentally what machine-learning systems do best.
Holds Read this korrent →
AI is at its best when it reuses great existing components rather than regenerating everything from first principles.
Holds
AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone.
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
Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage.
Holds
The language best suited to AI is simply the one the models have seen most of in training, which is why they do so well on JavaScript, TypeScript and Python.
Holds
Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates.
Holds
There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe.
Holds
Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved.
Holds
A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year.
Holds
Agent-generated pull requests have exploded in size with no signs of slowing down
Holds
Agents are the new compilers that compile intent into fast software.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that.
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
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
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