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← For a product person working with AI research, learning to write good evals is the most important thing.
17 connected korrents · 16 moments from 18 Mar 2024 to 27 Sept 2026.
Everything filed under AI writing
AI writing
Everything filed under writing
writing
Everything filed under OpenAI
OpenAI
Everything filed under scaling laws
scaling laws
Everything filed under software quality
software quality
Everything filed under LLMs
LLMs
Everything filed under benchmarks
benchmarks 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: For a product person working with AI research, learning to write good evals is the most important thing. For a product person working with AI research, learning to write good evals is the most important thing. Last stated 3 weeks ago
10 Sept 2026
TS
Tara Seshan — holds since 2026-09-10 — tap for who they are
Same subject: Good writing is hard to train into AI models because writing quality is hard to evaluate. — tap to centre the map on it Good writing is hard to train into AI models because writing quality is hard to evaluate. Last stated 6 months ago
23 Mar 2026
JS
Jasmine Sun — holds since 2026-03-23 — tap for who they are
Same subject: Good writing requires wanting to tell people something, which AI itself lacks. — tap to centre the map on it Good writing requires wanting to tell people something, which AI itself lacks. Last stated 4 months ago
28 May 2026
JF
Jacob Falkovich — holds since 2026-05-28 — tap for who they are
Same subject: Good writing reveals how the person who wrote it actually thinks, which is what AI-generated text lacks. — tap to centre the map on it Good writing reveals how the person who wrote it actually thinks, which is what AI-generated text lacks. Last stated 2 weeks ago
15 Sept 2026
ML
Michael Lopp — holds since 2026-09-15 — tap for who they are
Same subject: Error discovery is the most important part of the AI evaluation process. — tap to centre the map on it Error discovery is the most important part of the AI evaluation process. Last stated a week ago
22 Sept 2026
LR
Lenny Rachitsky — holds since 2026-09-22 — tap for who they are
Same subject: AI language models are capable of evaluating good fiction even though they cannot yet write it themselves. — tap to centre the map on it AI language models are capable of evaluating good fiction even though they cannot yet write it themselves. Last stated 6 months ago
23 Mar 2026
JS
Jasmine Sun — holds since 2026-03-23 — tap for who they are
Same subject: As AI takes over more of the coding process, clearly specifying goals and exercising good judgment will matter more than ever. — tap to centre the map on it As AI takes over more of the coding process, clearly specifying goals and exercising good judgment will matter more than ever. Last stated 8 months ago
4 Feb 2026
SH
Scott Hanselman — holds since 2026-02-04 — tap for who they are
Same subject: Designing a good AI benchmark has become a task only the most capable people can do well. — tap to centre the map on it Designing a good AI benchmark has become a task only the most capable people can do well. Last stated 4 months ago
25 May 2026
RK
Rohit Krishnan — holds since 2026-05-25 — tap for who they are
Same subject: AI should be used as much as possible for writing as reporting, but should not replace writing as thinking. — tap to centre the map on it AI should be used as much as possible for writing as reporting, but should not replace writing as thinking. Last stated a month ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — tap for who they are
Same subject: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. Last stated 5 days ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes work that used to take weeks to build. Last stated 4 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — 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: 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: 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
At the centre
For a product person working with AI research, learning to write good evals is the most important thing.
Holds Read this korrent →
Good writing is hard to train into AI models because writing quality is hard to evaluate.
Holds
Good writing requires wanting to tell people something, which AI itself lacks.
Holds
Good writing reveals how the person who wrote it actually thinks, which is what AI-generated text lacks.
Holds
Error discovery is the most important part of the AI evaluation process.
Holds
AI language models are capable of evaluating good fiction even though they cannot yet write it themselves.
Holds
As AI takes over more of the coding process, clearly specifying goals and exercising good judgment will matter more than ever.
Holds
Designing a good AI benchmark has become a task only the most capable people can do well.
Holds
AI should be used as much as possible for writing as reporting, but should not replace writing as thinking.
Holds
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI can now produce in minutes work that used to take weeks to build.
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 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
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