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← Trying to anticipate what AI will look like two model releases from…
17 connected korrents · 19 moments from 12 Sept 2022 to 14 Oct 2026. Nearly all of them are about LLMs .
Everything filed under AGI
AGI
Everything filed under AI alignment
AI alignment
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OpenAI
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scaling laws
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Anthropic
Everything filed under management
management In tension 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: Trying to anticipate what AI will look like two model releases from now is a waste of time and a route to AI psychosis. Trying to anticipate what AI will look like two model releases from now is a waste of time and a route to AI psychosis. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
In tension: Build for the model six months from now, not the model of today. — tap to centre the map on it Build for the model six months from now, not the model of today. Last stated 8 months ago
25 Feb 2026
BC
Boris Cherny — holds since 2026-02-25 — tap for who they are
Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existing AI models are barely being used and are often not even well understood. Last stated 4 weeks ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — tap for who they are
Same subject: The future is multi-model. — tap to centre the map on it The future is multi-model. Last stated a month ago
15 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-15 — tap for who they are
SK
Sriram Krishnan — holds since 2026-07-15 — tap for who they are
BS
Balaji Srinivasan — holds since 2025-08-03 — tap for who they are
Same subject: AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable. — tap to centre the map on it AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable. Last stated a month ago
10 Sept 2026
TS
Tara Seshan — holds since 2026-09-10 — tap for who they are
Same subject: You need to build early with AI to have any intuition for when the models become capable. — tap to centre the map on it You need to build early with AI to have any intuition for when the models become capable. Last stated a month ago
10 Sept 2026
MK
Mike Krieger — holds since 2026-09-10 — tap for who they are
Same subject: There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. — tap to centre the map on it There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. Last stated a month ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning. — tap to centre the map on it Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning. Last stated 2 months ago
7 Aug 2026
FC
François Chollet — holds since 2026-08-07 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — 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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — 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: Agent containment will be one of the most important priorities for any AI infra company. — tap to centre the map on it Agent containment will be one of the most important priorities for any AI infra company. Last stated 3 days ago
14 Oct 2026
GR
Guillermo Rauch — holds since 2026-10-14 — 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
At the centre
Trying to anticipate what AI will look like two model releases from now is a waste of time and a route to AI psychosis.
Holds Read this korrent →
Build for the model six months from now, not the model of today.
Holds
The current capabilities of existing AI models are barely being used and are often not even well understood.
Holds
The future is multi-model.
Holds
AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable.
Holds
You need to build early with AI to have any intuition for when the models become capable.
Holds
There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever.
Holds
Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning.
Holds
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
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
Agent containment will be one of the most important priorities for any AI infra company.
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