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← Recursive self-improvement in AI will mainly make existing model…
17 connected korrents · 18 moments on record from 11 Oct 2018 to 19 Sept 2026. Nearly all of them are about recursive self-improvement .
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coding agents
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world models 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: Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence. Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence. Last stated 2 days ago
19 Sept 2026
NL
Nathan Lambert — holds since 2026-09-19 — tap for who they are
Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. Last stated 2 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are
Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory. — tap to centre the map on it Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory. Last stated 2 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. — tap to centre the map on it Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. Last stated a month ago
10 Aug 2026
FC
François Chollet — holds since 2026-08-10 — tap for who they are
Same subject: Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement. — tap to centre the map on it Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement. Last stated a week ago
14 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-14 — tap for who they are
Same subject: Recursive self-improvement has already started, because AI research itself is now being automated. — tap to centre the map on it Recursive self-improvement has already started, because AI research itself is now being automated. Last stated a week ago
13 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-13 — tap for who they are
JL
Jan Leike — holds since 2026-01-22 — tap for who they are
Same subject: Recursive self-improvement only works if the base model is already capable enough to improve its own mechanism. — tap to centre the map on it Recursive self-improvement only works if the base model is already capable enough to improve its own mechanism. Last stated 3 months ago
4 Jul 2026
LW
Lilian Weng — holds since 2026-07-04 — tap for who they are
Same subject: Recursive self-improvement will increase AI capability very quickly from here. — tap to centre the map on it Recursive self-improvement will increase AI capability very quickly from here. Last stated 2 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — 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: Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot. — tap to centre the map on it Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot. Last stated 6 years ago
28 May 2020
DA
Dario Amodei — holds since 2020-05-28 — tap for who they are
Same subject: Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. — tap to centre the map on it Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: The jump from Sol to Astra is larger than from Fable 5 to Fable 5.1, and Astra is the best model for ambitious projects with likely the highest raw intelligence of any model. — tap to centre the map on it The jump from Sol to Astra is larger than from Fable 5 to Fable 5.1, and Astra is the best model for ambitious projects with likely the highest raw intelligence of any model. Last stated a week ago
12 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-12 — 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: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it Current techniques restrict pre-trained representation power because standard language models are unidirectional. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
Same subject: Emergent abilities come from generalisation turning compositional, not merely from a training set containing a lot of stuff. — tap to centre the map on it Emergent abilities come from generalisation turning compositional, not merely from a training set containing a lot of stuff. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
At the centre
Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence.
Holds Read this korrent →
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Holds
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Holds
Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory.
Holds
Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop.
Holds
Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement.
Holds
Recursive self-improvement has already started, because AI research itself is now being automated.
Holds
Recursive self-improvement only works if the base model is already capable enough to improve its own mechanism.
Holds
Recursive self-improvement will increase AI capability very quickly from here.
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
Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot.
Holds
Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.
Holds
The jump from Sol to Astra is larger than from Fable 5 to Fable 5.1, and Astra is the best model for ambitious projects with likely the highest raw intelligence of any model.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Holds
Emergent abilities come from generalisation turning compositional, not merely from a training set containing a lot of stuff.
Holds