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← Building for where AI models are now and building for where they will be in a year are equally wrong.
17 connected korrents · 16 moments from 28 Oct 2011 to 10 Sept 2026.
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scaling laws 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: Building for where AI models are now and building for where they will be in a year are equally wrong. Building for where AI models are now and building for where they will be in a year are equally wrong. Last stated a month ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — 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 3 weeks ago
10 Sept 2026
MK
Mike Krieger — holds since 2026-09-10 — 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 12 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — 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 3 weeks ago
10 Sept 2026
TS
Tara Seshan — holds since 2026-09-10 — tap for who they are
Same subject: Trying to anticipate what AI will look like two model releases from now is a waste of time and a route to AI psychosis. — tap to centre the map on it 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 a month ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't. — tap to centre the map on it As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't. Last stated a year ago
18 Jul 2025
JE
Jason Evanish — holds since 2025-07-18 — tap for who they are
Same subject: An AI agent's confidence that something will work is not evidence that it actually will. — tap to centre the map on it An AI agent's confidence that something will work is not evidence that it actually will. Last stated 7 months ago
11 Mar 2026
KD
Kent C. Dodds — holds since 2026-03-11 — tap for who they are
Same subject: Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving. — tap to centre the map on it Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: People building with AI need a point of view of their own, or the AI will supply one. — tap to centre the map on it People building with AI need a point of view of their own, or the AI will supply one. Last stated 3 weeks ago
10 Sept 2026
KD
Katie Dill — holds since 2026-09-10 — 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 9 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 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: "Hire great people and get out of their way" is dangerous advice for anyone in a leadership role. — tap to centre the map on it "Hire great people and get out of their way" is dangerous advice for anyone in a leadership role. Last stated 2 years ago
17 Dec 2024
CM
Charity Majors — holds since 2024-12-17 — tap for who they are
Same subject: A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is. — tap to centre the map on it A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is. Last stated 15 years ago
28 Oct 2011
PM
Patrick McKenzie — holds since 2011-10-28 — tap for who they are
Same subject: A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills. — tap to centre the map on it A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills. Last stated a year ago
28 May 2025
CF
Camille Fournier — holds since 2025-05-28 — 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 technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 4 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — 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 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
At the centre
Building for where AI models are now and building for where they will be in a year are equally wrong.
Holds Read this korrent →
You need to build early with AI to have any intuition for when the models become capable.
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 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
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
As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't.
Holds
An AI agent's confidence that something will work is not evidence that it actually will.
Holds
Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving.
Holds
People building with AI need a point of view of their own, or the AI will supply one.
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
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Holds
"Hire great people and get out of their way" is dangerous advice for anyone in a leadership role.
Holds
A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is.
Holds
A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills.
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 technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds