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← Deep learning is not yet ready for the task that would actually add…
17 connected korrents · 17 moments on record from 25 May 2023 to 6 Sept 2026.
Everything filed under design
design
Everything filed under scaling laws
scaling laws
Everything filed under simplicity
simplicity 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: Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans. 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: We have neither the data nor the insight to use machine learning to pick drug targets that succeed in the clinic more often. — tap to centre the map on it We have neither the data nor the insight to use machine learning to pick drug targets that succeed in the clinic more often. Last stated 3 years ago
25 May 2023
DL
Derek Lowe — holds since 2023-05-25 — tap for who they are
Same subject: The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves. — tap to centre the map on it The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves. Last stated 6 months ago
28 Feb 2026
RT
Ruxandra Teslo — holds since 2026-02-28 — 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: Confidence in monitoring, not capability research, will become the binding constraint on AI progress. — tap to centre the map on it Confidence in monitoring, not capability research, will become the binding constraint on AI progress. Last stated 2 days ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is. — tap to centre the map on it Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is. Last stated 6 months ago
28 Feb 2026
RT
Ruxandra Teslo — holds since 2026-02-28 — tap for who they are
Same subject: Underestimating near-term AI progress is itself a danger, which is why researchers should register their forecasts in public. — tap to centre the map on it Underestimating near-term AI progress is itself a danger, which is why researchers should register their forecasts in public. Last stated 3 years ago
29 Aug 2023
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
Same subject: A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea. — tap to centre the map on it A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea. Last stated a year ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. — tap to centre the map on it The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
Same subject: A company deserves everyone in it, the chief executive included, to spend as much time as possible in their zone of genius — which is an org design problem. — tap to centre the map on it A company deserves everyone in it, the chief executive included, to spend as much time as possible in their zone of genius — which is an org design problem. Last stated a year ago
23 Mar 2025
RV
Rahul Vohra — holds since 2025-03-23 — tap for who they are
Same subject: A computer meant for anyone has to be understandable without a manual, and it has to be friendly. — tap to centre the map on it A computer meant for anyone has to be understandable without a manual, and it has to be friendly. Last stated 4 weeks ago
14 Aug 2026
SK
Susan Kare — holds since 2026-08-14 — 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 2 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: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: After a decade of Swiss minimalism, design is about to swing back to something far more expressive. — tap to centre the map on it After a decade of Swiss minimalism, design is about to swing back to something far more expressive. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much. — tap to centre the map on it AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much. Last stated a month ago
26 Jul 2026
DH
David Heinemeier Hansson — holds since 2026-07-26 — tap for who they are
Same subject: Better design does not mean more design: the most obvious designs are often invisible. — tap to centre the map on it Better design does not mean more design: the most obvious designs are often invisible. Last stated 3 years ago
16 Nov 2023
JZ
Julie Zhuo — holds since 2023-11-16 — tap for who they are
At the centre
Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans.
Holds AT Alex TelfordRead this korrent →
We have neither the data nor the insight to use machine learning to pick drug targets that succeed in the clinic more often.
Holds DL Derek Lowe
The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves.
Holds RT Ruxandra Teslo
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds DL Derek Lowe
Confidence in monitoring, not capability research, will become the binding constraint on AI progress.
Holds JP Jakub Pachocki
Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is.
Holds RT Ruxandra Teslo
Underestimating near-term AI progress is itself a danger, which is why researchers should register their forecasts in public.
Holds AC Ajeya Cotra
A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea.
Holds TS Tim Sweeney
The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out.
Holds
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Holds JZ Julie Zhuo
A company deserves everyone in it, the chief executive included, to spend as much time as possible in their zone of genius — which is an org design problem.
Holds RV Rahul Vohra
A computer meant for anyone has to be understandable without a manual, and it has to be friendly.
Holds SK Susan Kare
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds NB Noam Brown
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 DP Dylan Patel
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds JH Jensen Huang
After a decade of Swiss minimalism, design is about to swing back to something far more expressive.
Holds DF Dylan Field
AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much.
Holds
Better design does not mean more design: the most obvious designs are often invisible.
Holds JZ Julie Zhuo