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← AI progress in math and coding will accelerate other domains by automating AI R&D.
17 connected korrents · 17 moments from 18 Mar 2024 to 9 Oct 2026.
Everything filed under AI writing
AI writing
Everything filed under LLMs
LLMs
Everything filed under OpenAI
OpenAI
Everything filed under scaling laws
scaling laws
Everything filed under code generation
code generation
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under mathematics
mathematics 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: AI progress in math and coding will accelerate other domains by automating AI R&D. AI progress in math and coding will accelerate other domains by automating AI R&D. Last stated today
9 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-09 — tap for who they are
Same subject: Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. — tap to centre the map on it Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. Last stated 2 months ago
10 Aug 2026
FC
François Chollet — holds since 2026-08-10 — tap for who they are
Same subject: AI will increasingly produce mathematical proofs, just as it already writes most code. — tap to centre the map on it AI will increasingly produce mathematical proofs, just as it already writes most code. Last stated 4 weeks ago
11 Sept 2026
DL
Daniel Lemire — holds since 2026-09-11 — tap for who they are
Same subject: What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. — tap to centre the map on it What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. — tap to centre the map on it AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. Last stated 2 months ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — tap for who they are
Same subject: AI has pushed developers to work faster than they can actually sustain. — tap to centre the map on it AI has pushed developers to work faster than they can actually sustain. Last stated 2 weeks ago
25 Sept 2026
ES
Elio Struyf — holds since 2026-09-25 — tap for who they are
Same subject: AI has accelerated the pace of development but not the pace of business, and that mismatch will become more and more apparent. — tap to centre the map on it AI has accelerated the pace of development but not the pace of business, and that mismatch will become more and more apparent. Last stated 3 months ago
1 Jul 2026
KB
Kent Beck — holds since 2026-07-01 — tap for who they are
Same subject: AI makes it possible to get more done, explore more ideas, and better serve customers than was possible before. — tap to centre the map on it AI makes it possible to get more done, explore more ideas, and better serve customers than was possible before. Last stated 10 months ago
3 Dec 2025
JE
Jason Evanish — holds since 2025-12-03 — tap for who they are
Same subject: Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago. — tap to centre the map on it Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — 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: 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: 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 2 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — 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: AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. — tap to centre the map on it AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. Last stated 3 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
At the centre
AI progress in math and coding will accelerate other domains by automating AI R&D.
Holds Read this korrent →
Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop.
Holds
AI will increasingly produce mathematical proofs, just as it already writes most code.
Holds
What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use.
Holds
AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement.
Holds
AI has pushed developers to work faster than they can actually sustain.
Holds
AI has accelerated the pace of development but not the pace of business, and that mismatch will become more and more apparent.
Holds
AI makes it possible to get more done, explore more ideas, and better serve customers than was possible before.
Holds
Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago.
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
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
AI can now produce in minutes work that used to take weeks to build.
Holds
AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it.
Holds