Tap a claim on the ring to put it at the centre.
← Robust scientific models of nature serve us best, because they are…
17 connected korrents · 16 moments from 17 Oct 2007 to 3 Sept 2026.
Everything filed under Anthropic
Anthropic
Everything filed under OpenAI
OpenAI
Everything filed under scaling laws
scaling laws
Everything filed under metascience
metascience
Everything filed under mental models
mental models
Everything filed under LLMs
LLMs
Everything filed under AI and science
AI and science
Everything filed under robotics
robotics 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: Robust scientific models of nature serve us best, because they are less likely to leave us open to dogmatism and instability. Robust scientific models of nature serve us best, because they are less likely to leave us open to dogmatism and instability. Last stated 7 years ago
20 Jun 2019
KF
Karl Friston — holds since 2019-06-20 — tap for who they are
RC
Robin Carhart-Harris — holds since 2019-06-20 — tap for who they are
Same subject: Mental models can help explain and navigate the world without being good in themselves. — tap to centre the map on it Mental models can help explain and navigate the world without being good in themselves. Last stated 10 years ago
by 6 Jul 2016
GW
Gabriel Weinberg — holds since 2016-07-06 — tap for who they are
Same subject: Some disciplines are more reliable than others, such as those describing experimentally tested ideas — tap to centre the map on it Some disciplines are more reliable than others, such as those describing experimentally tested ideas Last stated 19 years ago
17 Oct 2007
PB
Peter Bevelin — holds since 2007-10-17 — tap for who they are
Same subject: Science is a strong-link problem: what it amounts to depends on how good the best work is, not on how bad the worst is. — tap to centre the map on it Science is a strong-link problem: what it amounts to depends on how good the best work is, not on how bad the worst is. Last stated 3 years ago
11 Apr 2023
AM
Adam Mastroianni — holds since 2023-04-11 — tap for who they are
Same subject: Studies showing a language model behaving badly prove nothing, because the model was asked to produce that behaviour. — tap to centre the map on it Studies showing a language model behaving badly prove nothing, because the model was asked to produce that behaviour. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew. — tap to centre the map on it Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: The test of a scientific model is not whether supporting evidence can be found for it, but whether it fits the totality of the evidence. — tap to centre the map on it The test of a scientific model is not whether supporting evidence can be found for it, but whether it fits the totality of the evidence. Last stated 8 years ago
3 Jul 2018
SG
Stephan Guyenet — holds since 2018-07-03 — tap for who they are
Same subject: Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. — tap to centre the map on it Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: The aha moment for reasoning models will come from computer use and robotics rather than from scientific discovery, because those are the infinitely verifiable playgrounds. — tap to centre the map on it The aha moment for reasoning models will come from computer use and robotics rather than from scientific discovery, because those are the infinitely verifiable playgrounds. Last stated 2 years ago
3 Feb 2025
DP
Dylan Patel — holds since 2025-02-03 — 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: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Agents are going to be incorporated into mainstream interfaces — tap to centre the map on it Agents are going to be incorporated into mainstream interfaces Last stated 7 months ago
25 Mar 2026
DH
David Heinemeier Hansson — holds since 2026-03-25 — 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
Same subject: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — 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 a month ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A skill is a set of repeatable, specific instructions that augments what Claude Code can do. — tap to centre the map on it A skill is a set of repeatable, specific instructions that augments what Claude Code can do. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
At the centre
Robust scientific models of nature serve us best, because they are less likely to leave us open to dogmatism and instability.
Holds Read this korrent →
Mental models can help explain and navigate the world without being good in themselves.
Holds
Some disciplines are more reliable than others, such as those describing experimentally tested ideas
Holds
Science is a strong-link problem: what it amounts to depends on how good the best work is, not on how bad the worst is.
Holds
Studies showing a language model behaving badly prove nothing, because the model was asked to produce that behaviour.
Holds
Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew.
Holds
The test of a scientific model is not whether supporting evidence can be found for it, but whether it fits the totality of the evidence.
Holds
Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it.
Holds
The aha moment for reasoning models will come from computer use and robotics rather than from scientific discovery, because those are the infinitely verifiable playgrounds.
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
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
Agents are going to be incorporated into mainstream interfaces
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
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
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 skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Holds