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← Getting genuinely original output from AI requires working hard against the grain of its defaults.
17 connected korrents · 18 moments on record from 5 Nov 2019 to 15 Sept 2026.
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AI alignment 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: Getting genuinely original output from AI requires working hard against the grain of its defaults. Getting genuinely original output from AI requires working hard against the grain of its defaults. Last stated 3 months ago
29 Jun 2026
KC
Kyle Chayka — holds since 2026-06-29 — tap for who they are
Same subject: AI writes code well only where a million repositories have already written it; getting it to do something genuinely new remains notoriously hard. — tap to centre the map on it AI writes code well only where a million repositories have already written it; getting it to do something genuinely new remains notoriously hard. Last stated a year ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. — tap to centre the map on it AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. Last stated 7 months ago
9 Feb 2026
SH
Scott Hanselman — holds since 2026-02-09 — tap for who they are
Same subject: AI does a good job of generating a design and still cannot express what the design is supposed to do; that part is the engineer's. — tap to centre the map on it AI does a good job of generating a design and still cannot express what the design is supposed to do; that part is the engineer's. Last stated 2 months ago
29 Jul 2026
HW
Hillel Wayne — holds since 2026-07-29 — tap for who they are
Same subject: An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. — tap to centre the map on it An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch. — tap to centre the map on it Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch. Last stated 3 years ago
28 Sept 2023
MZ
Mark Zuckerberg — holds since 2023-09-28 — tap for who they are
Same subject: AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. — tap to centre the map on it AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. — tap to centre the map on it AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — 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 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. — tap to centre the map on it AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. Last stated 2 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
Same subject: AI writing tools can be used for editing help without letting them take over work that has personal meaning. — tap to centre the map on it AI writing tools can be used for editing help without letting them take over work that has personal meaning. Last stated 2 months ago
27 Jul 2026
AH
Ann Handley — holds since 2026-07-27 — 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 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
Getting genuinely original output from AI requires working hard against the grain of its defaults.
Holds Read this korrent →
AI writes code well only where a million repositories have already written it; getting it to do something genuinely new remains notoriously hard.
Holds
AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results.
Holds
AI does a good job of generating a design and still cannot express what the design is supposed to do; that part is the engineer's.
Holds
An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario.
Holds
Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch.
Holds
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Holds
AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge.
Holds
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it.
Holds
AI writing tools can be used for editing help without letting them take over work that has personal meaning.
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 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