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← The performance gap between open and closed AI models has narrowed to roughly 4-6 months.
17 connected korrents · 15 moments on record from 5 Nov 2019 to 15 Sept 2026.
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AGI 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: The performance gap between open and closed AI models has narrowed to roughly 4-6 months. The performance gap between open and closed AI models has narrowed to roughly 4-6 months. Last stated a week ago
11 Sept 2026
NL
Nathan Lambert — holds since 2026-09-11 — tap for who they are
Same subject: The performance gap between closed-source and open-weight language models is closing. — tap to centre the map on it The performance gap between closed-source and open-weight language models is closing. Last stated 2 years ago
15 Apr 2024
SR
Sebastian Ruder — holds since 2024-04-15 — tap for who they are
Same subject: There is a large and growing gap between open-weight AI models and frontier AI models. — tap to centre the map on it There is a large and growing gap between open-weight AI models and frontier AI models. Last stated 6 months ago
29 Mar 2026
CW
Chris Wellons — holds since 2026-03-29 — tap for who they are
Same subject: The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. — tap to centre the map on it The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. Last stated 2 months ago
15 Jul 2026
TY
Tynan — holds since 2026-07-15 — tap for who they are
Same subject: Once AI can do AI research, a single year should deliver four or five years worth of AI progress. — tap to centre the map on it Once AI can do AI research, a single year should deliver four or five years worth of AI progress. Last stated a month ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year. — tap to centre the map on it A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year. Last stated 8 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: Getting five years of AI progress out of one year takes roughly eight years of algorithmic progress, because the compute you would have had must be made up too. — tap to centre the map on it Getting five years of AI progress out of one year takes roughly eight years of algorithmic progress, because the compute you would have had must be made up too. Last stated a month ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Before building on a gap in the general models, work out whether that gap survives six months or three years. — tap to centre the map on it Before building on a gap in the general models, work out whether that gap survives six months or three years. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed. — tap to centre the map on it Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed. Last stated 3 years ago
12 Aug 2023
YB
Yoshua Bengio — holds since 2023-08-12 — 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 2 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 a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — 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: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 10 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. — tap to centre the map on it Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
At the centre
The performance gap between open and closed AI models has narrowed to roughly 4-6 months.
Holds Read this korrent →
The performance gap between closed-source and open-weight language models is closing.
Holds
There is a large and growing gap between open-weight AI models and frontier AI models.
Holds
The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet.
Holds
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
A competitor six months or a year behind the frontier can stay close, because the cost of AI falls more than tenfold every year.
Holds
Getting five years of AI progress out of one year takes roughly eight years of algorithmic progress, because the compute you would have had must be made up too.
Holds
Before building on a gap in the general models, work out whether that gap survives six months or three years.
Holds
Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed.
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
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
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Holds