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← A strong track record in a technical field is only weak evidence that someone has good strategic judgment about AGI.
17 connected korrents · 17 moments from 7 May 2024 to 9 Oct 2026.
Everything filed under AGI
AGI
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under measuring intelligence
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: A strong track record in a technical field is only weak evidence that someone has good strategic judgment about AGI. A strong track record in a technical field is only weak evidence that someone has good strategic judgment about AGI. Last stated 2 years ago
22 Mar 2025
NN
Neel Nanda — holds since 2025-03-22 — 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 5 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — 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 5 months ago
4 Jun 2026
PT
Phil Trammell — 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: Accelerating science will be one of the most stunningly positive outcomes of the push to AGI. — tap to centre the map on it Accelerating science will be one of the most stunningly positive outcomes of the push to AGI. Last stated 7 months ago
17 Apr 2026
KW
Kevin Weil — holds since 2026-04-17 — tap for who they are
Same subject: AGI is not a finish line to be crossed but a smear with width, and we are already standing on it. — tap to centre the map on it AGI is not a finish line to be crossed but a smear with width, and we are already standing on it. Last stated 2 months ago
3 Sept 2026
PG
Paul Graham — holds since 2026-09-03 — tap for who they are
Same subject: AGI might create a two-tier split in society — tap to centre the map on it AGI might create a two-tier split in society Last stated a month ago
2 Oct 2026
PL
Pieter Levels — holds since 2026-10-02 — tap for who they are
Same subject: "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. — tap to centre the map on it "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. Last stated 4 weeks ago
9 Oct 2026
CR
Carl Rivera — holds since 2026-10-09 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — 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 2 months ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software. — tap to centre the map on it An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software. Last stated 5 months ago
22 May 2026
SK
Sayash Kapoor — holds since 2026-05-22 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it Being able to statistically predict what someone will say does not mean you understand them. Last stated 2 months ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. — tap to centre the map on it "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 3 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
At the centre
A strong track record in a technical field is only weak evidence that someone has good strategic judgment about AGI.
Holds Read this korrent →
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 human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
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 true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
Accelerating science will be one of the most stunningly positive outcomes of the push to AGI.
Holds
AGI is not a finish line to be crossed but a smear with width, and we are already standing on it.
Holds
AGI might create a two-tier split in society
Holds
"Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
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
An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software.
Holds
Being able to statistically predict what someone will say does not mean you understand them.
Holds
"Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds