Tap a claim on the ring to put it at the centre.
← LLMs are great as a discovery tool for programming, because search and API documentation have got so bad.
17 connected korrents · 16 moments from 1 Sept 2016 to 27 Sept 2026.
Everything filed under Google
Google
Everything filed under open source
open source
Everything filed under AI writing
AI writing
Everything filed under scaling laws
scaling laws
Everything filed under documentation
documentation 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: LLMs are great as a discovery tool for programming, because search and API documentation have got so bad. LLMs are great as a discovery tool for programming, because search and API documentation have got so bad. Last stated 7 months ago
2 Apr 2026
JF
Justin Frankel — holds since 2026-04-02 — tap for who they are
Same subject: Frontier AI models are consolidating into an oligopoly held by a small number of large players. — tap to centre the map on it Frontier AI models are consolidating into an oligopoly held by a small number of large players. Last stated 3 years ago
21 Feb 2024
EG
Elad Gil — holds since 2024-02-21 — tap for who they are
Same subject: LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious. — tap to centre the map on it LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious. Last stated a year ago
2 Jun 2025
TP
Thomas Ptacek — holds since 2025-06-02 — tap for who they are
Same subject: New AI-first applications will emerge in 2024, shifting the focus up the stack. — tap to centre the map on it New AI-first applications will emerge in 2024, shifting the focus up the stack. Last stated 3 years ago
1 Jan 2024
FW
Fred Wilson — holds since 2024-01-01 — tap for who they are
Same subject: Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth. — tap to centre the map on it Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. — tap to centre the map on it Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: The best use of an LLM for learning is as a souped-up search engine that points you at the right human-written resource. — tap to centre the map on it The best use of an LLM for learning is as a souped-up search engine that points you at the right human-written resource. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A design proposal should describe the feature as though it already existed — once as a tutorial and once as reference documentation. — tap to centre the map on it A design proposal should describe the feature as though it already existed — once as a tutorial and once as reference documentation. Last stated 5 months ago
20 May 2026
AR
Alice Ryhl — holds since 2026-05-20 — tap for who they are
Same subject: A design system is only as good as its documentation. — tap to centre the map on it A design system is only as good as its documentation. Last stated 10 years ago
1 Sept 2016
MM
Mina Markham — holds since 2016-09-01 — 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 8 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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 a month 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 4 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 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
Same subject: A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. — tap to centre the map on it A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A codec does not really exist until everyone can decode it. — tap to centre the map on it A codec does not really exist until everyone can decode it. Last stated 5 months ago
31 May 2026
JK
Jean-Baptiste Kempf — holds since 2026-05-31 — tap for who they are
Same subject: A company that will not accept a project’s terms is free to go and use a more permissive project instead. — tap to centre the map on it A company that will not accept a project’s terms is free to go and use a more permissive project instead. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
At the centre
LLMs are great as a discovery tool for programming, because search and API documentation have got so bad.
Holds Read this korrent →
Frontier AI models are consolidating into an oligopoly held by a small number of large players.
Holds
LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious.
Holds
New AI-first applications will emerge in 2024, shifting the focus up the stack.
Holds
Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth.
Holds
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
Holds
The best use of an LLM for learning is as a souped-up search engine that points you at the right human-written resource.
Holds
A design proposal should describe the feature as though it already existed — once as a tutorial and once as reference documentation.
Holds
A design system is only as good as its documentation.
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 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
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Holds
A codec does not really exist until everyone can decode it.
Holds
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Holds