Tap a claim on the ring to put it at the centre.
← Learning a principle can teach far more than learning a single technique
17 connected korrents · 18 moments from 17 Oct 2007 to 3 Sept 2026.
Everything filed under education
education
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under OpenAI
OpenAI 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 a principle can teach far more than learning a single technique 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: 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: 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: Training a model on principles rather than a list of rules is not an ideology but an empirical finding: its behaviour is more consistent and covers edge cases. — tap to centre the map on it Training a model on principles rather than a list of rules is not an ideology but an empirical finding: its behaviour is more consistent and covers edge cases. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Learning starts with observing reality and learning the core concepts that account for it — tap to centre the map on it Learning starts with observing reality and learning the core concepts that account for it Last stated 19 years ago
17 Oct 2007
PB
Peter Bevelin — holds since 2007-10-17 — tap for who they are
Same subject: Both instruction and practice are necessary for learning, and which of them comes first matters less than having both. — tap to centre the map on it Both instruction and practice are necessary for learning, and which of them comes first matters less than having both. Last stated 4 years ago
25 May 2022
SY
Scott H. Young — holds since 2022-05-25 — tap for who they are
Same subject: Whenever two teaching methods are rigorously compared, strong direct instruction plus practice wins. — tap to centre the map on it Whenever two teaching methods are rigorously compared, strong direct instruction plus practice wins. Last stated 4 months ago
27 May 2026
SY
Scott H. Young — holds since 2026-05-27 — tap for who they are
Same subject: Understanding the history of ideas is incredibly valuable in teaching — tap to centre the map on it Understanding the history of ideas is incredibly valuable in teaching Last stated 4 years ago
3 Mar 2023
MM
Michael Mauboussin — holds since 2023-03-03 — tap for who they are
Same subject: In choosing what to learn, who is teaching it matters more than what it is, because your existing interests are fairly arbitrary and a good educator is not. — tap to centre the map on it In choosing what to learn, who is teaching it matters more than what it is, because your existing interests are fairly arbitrary and a good educator is not. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — 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 3 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 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 4 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
Learning a principle can teach far more than learning a single technique
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
Reading and listening are only preparation; learning happens by doing, and it consists of failing on the way to mastery.
Holds
Training a model on principles rather than a list of rules is not an ideology but an empirical finding: its behaviour is more consistent and covers edge cases.
Holds
Learning starts with observing reality and learning the core concepts that account for it
Holds
Both instruction and practice are necessary for learning, and which of them comes first matters less than having both.
Holds
Whenever two teaching methods are rigorously compared, strong direct instruction plus practice wins.
Holds
Understanding the history of ideas is incredibly valuable in teaching
Holds
In choosing what to learn, who is teaching it matters more than what it is, because your existing interests are fairly arbitrary and a good educator is not.
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 startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
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