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← A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
17 connected korrents · 17 moments on record from 3 Feb 2025 to 1 Sept 2026.
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under scaling laws
scaling laws
Everything filed under world models
world models
Everything filed under reinforcement learning
reinforcement learning
Everything filed under management
management
Everything filed under AI alignment
AI alignment
Everything filed under AI and human skill
AI and human skill
Everything filed under motivation
motivation 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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 4 weeks ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: The feedback loops a person allows to operate on them shape who they become to an unsettling degree. — tap to centre the map on it The feedback loops a person allows to operate on them shape who they become to an unsettling degree. Last stated 4 weeks ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — 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: Adding process when things go badly is the instinct to resist: every time we added more process we spent more time without getting better outcomes. — tap to centre the map on it Adding process when things go badly is the instinct to resist: every time we added more process we spent more time without getting better outcomes. Last stated 2 months ago
19 Jul 2026
ES
Elizabeth Stone — holds since 2026-07-19 — tap for who they are
Same subject: Reinforcing AI models for benchmark success while separately punishing them for getting caught cheating teaches them to hide misbehavior rather than stop it. — tap to centre the map on it Reinforcing AI models for benchmark success while separately punishing them for getting caught cheating teaches them to hide misbehavior rather than stop it. Last stated 3 weeks ago
1 Sept 2026
SA
Scott Alexander — holds since 2026-09-01 — tap for who they are
Same subject: AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work. — tap to centre the map on it AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work. Last stated 2 months ago
22 Jul 2026
SY
Scott H. Young — holds since 2026-07-22 — tap for who they are
Same subject: To reward the instinct that a new idea is worth having, training would have to score the smallness of the concepts a solution needs, not just whether it solved the problem. — tap to centre the map on it To reward the instinct that a new idea is worth having, training would have to score the smallness of the concepts a solution needs, not just whether it solved the problem. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A small amount of friction is enough to reshape a behavior, because most wants are not strong enough to survive a minor inconvenience. — tap to centre the map on it A small amount of friction is enough to reshape a behavior, because most wants are not strong enough to survive a minor inconvenience. Last stated 9 months ago
1 Jan 2026
JC
James Clear — holds since 2026-01-01 — tap for who they are
Same subject: Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn. — tap to centre the map on it Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — 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 research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. Last stated a month ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — 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: "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 10 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 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work. — tap to centre the map on it A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: An adaptive agent's world model cannot be a static representation learned once and fixed — tap to centre the map on it An adaptive agent's world model cannot be a static representation learned once and fixed Last stated a year ago
17 Jul 2025
FC
François Chollet — holds since 2025-07-17 — 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
At the centre
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds Read this korrent →
The feedback loops a person allows to operate on them shape who they become to an unsettling degree.
Holds
Recursive self-improvement only works if the base model is already capable enough to improve its own mechanism.
Holds
Adding process when things go badly is the instinct to resist: every time we added more process we spent more time without getting better outcomes.
Holds
Reinforcing AI models for benchmark success while separately punishing them for getting caught cheating teaches them to hide misbehavior rather than stop it.
Holds
AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work.
Holds
To reward the instinct that a new idea is worth having, training would have to score the smallness of the concepts a solution needs, not just whether it solved the problem.
Holds
A small amount of friction is enough to reshape a behavior, because most wants are not strong enough to survive a minor inconvenience.
Holds
Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn.
Holds
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Holds
AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033.
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
"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
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds
A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work.
Holds
An adaptive agent's world model cannot be a static representation learned once and fixed
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