Tap a claim on the ring to put it at the centre.
← Resisting the discomfort of not knowing leads people to jump to…
17 connected korrents · 17 moments on record from 5 Jul 2018 to 7 Sept 2026.
Everything filed under behavioural science
behavioural science
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
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: Resisting the discomfort of not knowing leads people to jump to conclusions or decide before they have enough information. Resisting the discomfort of not knowing leads people to jump to conclusions or decide before they have enough information. Last stated a year ago
2 Apr 2025
KN
Ken Norton — holds since 2025-04-02 — tap for who they are
Same subject: A large fraction of what the people around you believe is mistaken, and nobody is going to teach you to think for yourself. — tap to centre the map on it A large fraction of what the people around you believe is mistaken, and nobody is going to teach you to think for yourself. Last stated 8 years ago
by 5 Jul 2018
PC
Patrick Collison — holds since 2018-07-05 — tap for who they are
Same subject: Thinking harder about a decision has diminishing returns because reality is inherently unknowable. — tap to centre the map on it Thinking harder about a decision has diminishing returns because reality is inherently unknowable. Last stated 5 years ago
22 Feb 2022
NN
Neel Nanda — holds since 2022-02-22 — tap for who they are
Same subject: Skepticism about a new technology only works if it is total enough to be turned on itself, which is what forces you to stay curious. — tap to centre the map on it Skepticism about a new technology only works if it is total enough to be turned on itself, which is what forces you to stay curious. Last stated 5 months ago
7 Apr 2026
MF
Martin Fowler — holds since 2026-04-07 — tap for who they are
Same subject: Breaking through a skill plateau requires unlearning beliefs and conventions that are wrong or narrower than assumed. — tap to centre the map on it Breaking through a skill plateau requires unlearning beliefs and conventions that are wrong or narrower than assumed. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all. — tap to centre the map on it Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them. — tap to centre the map on it Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Changing your mind in light of new facts should be celebrated rather than held against you. — tap to centre the map on it Changing your mind in light of new facts should be celebrated rather than held against you. Last stated 2 weeks ago
7 Sept 2026
SG
Stephan Guyenet — holds since 2018-08-30 — tap for who they are
GO
Gergely Orosz — holds since 2026-09-07 — tap for who they are
DH
David Heinemeier Hansson — holds since 2026-09-03 — tap for who they are
PL
Pieter Levels — holds since 2026-09-07 — tap for who they are
Same subject: Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight. — tap to centre the map on it Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. — tap to centre the map on it A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. Last stated 8 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck. — tap to centre the map on it A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: A habit has to be established before it can be improved, so standardizing a behavior comes before optimizing it. — tap to centre the map on it A habit has to be established before it can be improved, so standardizing a behavior comes before optimizing it. Last stated 9 months ago
1 Jan 2026
JC
James Clear — holds since 2026-01-01 — 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
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
At the centre
Resisting the discomfort of not knowing leads people to jump to conclusions or decide before they have enough information.
Holds Read this korrent →
A large fraction of what the people around you believe is mistaken, and nobody is going to teach you to think for yourself.
Holds
Thinking harder about a decision has diminishing returns because reality is inherently unknowable.
Holds
Skepticism about a new technology only works if it is total enough to be turned on itself, which is what forces you to stay curious.
Holds
Breaking through a skill plateau requires unlearning beliefs and conventions that are wrong or narrower than assumed.
Holds
Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all.
Holds
Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them.
Holds
Changing your mind in light of new facts should be celebrated rather than held against you.
Holds
Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight.
Holds
A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally.
Holds
A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck.
Holds
A habit has to be established before it can be improved, so standardizing a behavior comes before optimizing it.
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
"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