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← The person receiving advice usually knows more about their own situation than the person giving it does.
17 connected korrents · 15 moments on record from 14 Mar 2023 to 3 Sept 2026.
Everything filed under benchmarks
benchmarks
Everything filed under scaling laws
scaling laws
Everything filed under reinforcement learning
reinforcement learning
Everything filed under education
education
Everything filed under LLMs
LLMs 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: The person receiving advice usually knows more about their own situation than the person giving it does. The person receiving advice usually knows more about their own situation than the person giving it does. Last stated a year ago
26 May 2025
NN
Neel Nanda — holds since 2025-05-26 — 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: Even when advice is understood and believed, people discount it by assuming their own case is the exception. — tap to centre the map on it Even when advice is understood and believed, people discount it by assuming their own case is the exception. Last stated 4 years ago
14 Mar 2023
AM
Adam Mastroianni — holds since 2023-03-14 — tap for who they are
Same subject: “Work on what you know” is the worst advice there is: knowledge can be acquired, but what you love cannot be changed. — tap to centre the map on it “Work on what you know” is the worst advice there is: knowledge can be acquired, but what you love cannot be changed. Last stated 2 months ago
28 Jul 2026
BS
Blake Scholl — holds since 2026-07-28 — tap for who they are
Same subject: Bigger is smarter, always: bringing your special domain knowledge to the model is the wrong side of the bitter lesson. — tap to centre the map on it Bigger is smarter, always: bringing your special domain knowledge to the model is the wrong side of the bitter lesson. Last stated 6 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: Most advice people give is shaped by survivorship bias and cannot be reliably generalized to others. — tap to centre the map on it Most advice people give is shaped by survivorship bias and cannot be reliably generalized to others. Last stated a month ago
16 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-16 — tap for who they are
Same subject: The people who come up with genuinely novel insights are also unusually clear communicators of them, against the assumption that expertise spoils explanation. — tap to centre the map on it The people who come up with genuinely novel insights are also unusually clear communicators of them, against the assumption that expertise spoils explanation. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: On everyday high-stakes questions, a model's answer can now be trusted more than an expert human's. — tap to centre the map on it On everyday high-stakes questions, a model's answer can now be trusted more than an expert human's. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: People learn best when the problem in front of them is just past the edge of what they can already do. — tap to centre the map on it People learn best when the problem in front of them is just past the edge of what they can already do. Last stated 11 months ago
3 Nov 2025
RK
Raph Koster — holds since 2025-11-03 — 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 benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 3 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old. — tap to centre the map on it A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old. Last stated 3 years ago
19 Dec 2023
PK
Philip Koopman — holds since 2023-12-19 — tap for who they are
Same subject: A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost. — tap to centre the map on it A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost. Last stated 6 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — 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
At the centre
The person receiving advice usually knows more about their own situation than the person giving it does.
Holds Read this korrent →
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
Even when advice is understood and believed, people discount it by assuming their own case is the exception.
Holds
“Work on what you know” is the worst advice there is: knowledge can be acquired, but what you love cannot be changed.
Holds
Bigger is smarter, always: bringing your special domain knowledge to the model is the wrong side of the bitter lesson.
Holds
Most advice people give is shaped by survivorship bias and cannot be reliably generalized to others.
Holds
The people who come up with genuinely novel insights are also unusually clear communicators of them, against the assumption that expertise spoils explanation.
Holds
On everyday high-stakes questions, a model's answer can now be trusted more than an expert human's.
Holds
People learn best when the problem in front of them is just past the edge of what they can already do.
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 benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old.
Holds
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
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