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← AI is becoming capable of synthesizing knowledge, one of the core functions megapapers serve.
17 connected korrents · 16 moments on record from 5 Nov 2019 to 17 Sept 2026.
Everything filed under measuring intelligence
measuring intelligence
Everything filed under protein structure prediction
protein structure prediction
Everything filed under scaling laws
scaling laws
Everything filed under AI and science
AI and science
Everything filed under LLMs
LLMs
Everything filed under mathematics
mathematics
Everything filed under AI writing
AI writing 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 is becoming capable of synthesizing knowledge, one of the core functions megapapers serve. AI is becoming capable of synthesizing knowledge, one of the core functions megapapers serve. Last stated a year ago
27 Aug 2025
MB
Miles Brundage — holds since 2025-08-27 — tap for who they are
Same subject: AI systems are not yet a substitute for real, diverse human experts. — tap to centre the map on it AI systems are not yet a substitute for real, diverse human experts. Last stated a year ago
27 Aug 2025
MB
Miles Brundage — holds since 2025-08-27 — tap for who they are
Same subject: Formalizing math is a translation task, so AI will boost top mathematicians' productivity more than top writers'. — tap to centre the map on it Formalizing math is a translation task, so AI will boost top mathematicians' productivity more than top writers'. Last stated 5 months ago
7 Apr 2026
JB
Jamie Brandon — holds since 2026-04-07 — tap for who they are
Same subject: AI has made his papers richer and broader, but not deeper. — tap to centre the map on it AI has made his papers richer and broader, but not deeper. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged. — tap to centre the map on it A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged. Last stated 7 years ago
4 Feb 2020
DL
Derek Lowe — holds since 2020-02-04 — tap for who they are
Same subject: A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one. — tap to centre the map on it A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: We will read far more AI-generated writing in documents and email, and we will like it. — tap to centre the map on it We will read far more AI-generated writing in documents and email, and we will like it. Last stated 4 months ago
24 May 2026
DS
Dan Shipper — holds since 2026-05-24 — tap for who they are
Same subject: Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated 4 days ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing. — tap to centre the map on it Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing. Last stated a month ago
12 Aug 2026
NL
Nathan Lambert — holds since 2026-08-12 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — 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 narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. — tap to centre the map on it Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. — tap to centre the map on it Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
At the centre
AI is becoming capable of synthesizing knowledge, one of the core functions megapapers serve.
Holds Read this korrent →
AI systems are not yet a substitute for real, diverse human experts.
Holds
Formalizing math is a translation task, so AI will boost top mathematicians' productivity more than top writers'.
Holds
AI has made his papers richer and broader, but not deeper.
Holds
A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged.
Holds
A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one.
Holds
We will read far more AI-generated writing in documents and email, and we will like it.
Holds
Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
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 narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.
Holds
Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility.
Holds
Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available.
Holds