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← A paper reporting an AI-generated molecule must publish the model's…
17 connected korrents · 20 moments from 30 Aug 2005 to 17 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under metascience
metascience
Everything filed under protein structure prediction
protein structure prediction
Everything filed under LLMs
LLMs
Everything filed under peer review
peer review 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: A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged. 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 compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. — tap to centre the map on it The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. Last stated 5 months ago
27 May 2026
DL
Derek Lowe — holds since 2026-05-27 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans. — tap to centre the map on it Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans. Last stated 3 years ago
23 Dec 2023
AT
Alex Telford — holds since 2023-12-23 — tap for who they are
Same subject: The web is being flooded with coherent, generic, generated text that buries the writing worth reading. — tap to centre the map on it The web is being flooded with coherent, generic, generated text that buries the writing worth reading. Last stated 7 months ago
27 Mar 2026
MW
Molly White — holds since 2024-10-07 — tap for who they are
MA
Maggie Appleton — holds since 2022-12-31 — tap for who they are
AD
Anil Dash — holds since 2026-03-27 — tap for who they are
Same subject: Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. — tap to centre the map on it Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. Last stated 4 months ago
15 Jun 2026
RK
Rohit Krishnan — holds since 2026-06-15 — tap for who they are
Same subject: Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect. — tap to centre the map on it Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: An account of an AI win is not worth publishing unless it is coupled with what that win cost. — tap to centre the map on it An account of an AI win is not worth publishing unless it is coupled with what that win cost. Last stated 2 months ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: “Trust science” is a confused instruction: what deserves trust is the process, not any particular thing it has concluded so far. — tap to centre the map on it “Trust science” is a confused instruction: what deserves trust is the process, not any particular thing it has concluded so far. Last stated 3 years ago
16 Aug 2023
JC
Jason Crawford — holds since 2023-08-16 — tap for who they are
Same subject: A hotter field with more teams racing on the same question produces less reliable findings, not more. — tap to centre the map on it A hotter field with more teams racing on the same question produces less reliable findings, not more. Last stated 21 years ago
30 Aug 2005
JI
John Ioannidis — holds since 2005-08-30 — tap for who they are
Same subject: A hyped effect shrinking to a small but real one as the studies improve is a sign that a field is working, not failing. — tap to centre the map on it A hyped effect shrinking to a small but real one as the studies improve is a sign that a field is working, not failing. Last stated 4 years ago
11 Oct 2022
SR
Stuart Ritchie — holds since 2022-10-11 — tap for who they are
Same subject: Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. — tap to centre the map on it Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. Last stated a year ago
13 Oct 2025
AH
Anton Howes — holds since 2025-10-13 — tap for who they are
Same subject: Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do. — tap to centre the map on it Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do. Last stated 4 years ago
13 Dec 2022
AM
Adam Mastroianni — holds since 2022-12-13 — tap for who they are
Same subject: History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say. — tap to centre the map on it History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say. Last stated 3 years ago
29 Aug 2023
AH
Anton Howes — holds since 2023-08-29 — 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 3 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: Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. — tap to centre the map on it Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. Last stated a year ago
29 Jun 2025
EH
Elliot Hershberg — holds since 2025-06-29 — tap for who they are
At the centre
A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged.
Holds Read this korrent →
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds
The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so.
Holds
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans.
Holds
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.
Holds
Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced.
Holds
Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect.
Holds
An account of an AI win is not worth publishing unless it is coupled with what that win cost.
Holds
“Trust science” is a confused instruction: what deserves trust is the process, not any particular thing it has concluded so far.
Holds
A hotter field with more teams racing on the same question produces less reliable findings, not more.
Holds
A hyped effect shrinking to a small but real one as the studies improve is a sign that a field is working, not failing.
Holds
Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field.
Holds
Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do.
Holds
History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say.
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
Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence.
Holds