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← Learning is an individualized process.
17 connected korrents · 18 moments from 11 May 1990 to 17 Sept 2026.
Everything filed under education
education
Everything filed under scaling laws
scaling laws
Everything filed under LLMs
LLMs
Everything filed under reinforcement learning
reinforcement learning 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: Learning is an individualized process. Learning is an individualized process. Last stated 36 years ago
11 May 1990
TP
Tom Peters — holds since 1990-05-11 — tap for who they are
Same subject: Learning is not training: a child learns by actively trying things and seeing what happens, not by being shown what to do. — tap to centre the map on it Learning is not training: a child learns by actively trying things and seeing what happens, not by being shown what to do. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: Pre-training is not the process by which humans learn; it sits somewhere between human learning and human evolution. — tap to centre the map on it Pre-training is not the process by which humans learn; it sits somewhere between human learning and human evolution. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: You only learn by doing; learning without doing stays too general and abstract. — tap to centre the map on it You only learn by doing; learning without doing stays too general and abstract. Last stated a year ago
17 Jul 2025
NR
Naval Ravikant — holds since 2025-07-17 — tap for who they are
Same subject: Reading and listening are only preparation; learning happens by doing, and it consists of failing on the way to mastery. — tap to centre the map on it Reading and listening are only preparation; learning happens by doing, and it consists of failing on the way to mastery. Last stated 3 years ago
26 Mar 2024
SG
Seth Godin — holds since 2024-03-26 — tap for who they are
Same subject: Education cannot be done to a person: without at least a minimal act of will from the learner, no method, resource or reform works. — tap to centre the map on it Education cannot be done to a person: without at least a minimal act of will from the learner, no method, resource or reform works. Last stated 7 months ago
24 Mar 2026
FD
Freddie deBoer — holds since 2026-03-24 — tap for who they are
Same subject: Doing creates the desire to learn, while learning purely for its own sake gets empty. — tap to centre the map on it Doing creates the desire to learn, while learning purely for its own sake gets empty. Last stated a year ago
21 Jul 2025
NR
Naval Ravikant — holds since 2025-07-21 — tap for who they are
Same subject: Learning a principle can teach far more than learning a single technique — tap to centre the map on it Learning a principle can teach far more than learning a single technique Last stated 7 years ago
27 Feb 2020
JW
Josh Waitzkin — holds since 2020-02-27 — tap for who they are
Same subject: When learning from someone successful, copy only what is repeatable; the rest of their success cannot be reproduced. — tap to centre the map on it When learning from someone successful, copy only what is repeatable; the rest of their success cannot be reproduced. Last stated 3 years ago
7 Apr 2024
MH
Morgan Housel — holds since 2024-04-07 — 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 11 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 4 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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 10 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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — 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 3 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 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
At the centre
Learning is an individualized process.
Holds Read this korrent →
Learning is not training: a child learns by actively trying things and seeing what happens, not by being shown what to do.
Holds
Pre-training is not the process by which humans learn; it sits somewhere between human learning and human evolution.
Holds
You only learn by doing; learning without doing stays too general and abstract.
Holds
Reading and listening are only preparation; learning happens by doing, and it consists of failing on the way to mastery.
Holds
Education cannot be done to a person: without at least a minimal act of will from the learner, no method, resource or reform works.
Holds
Doing creates the desire to learn, while learning purely for its own sake gets empty.
Holds
Learning a principle can teach far more than learning a single technique
Holds
When learning from someone successful, copy only what is repeatable; the rest of their success cannot be reproduced.
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 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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
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