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← Accelerating the production of papers does not address what actually bottlenecks scientific progress.
17 connected korrents · 16 moments from 15 Aug 2019 to 22 Sept 2026.
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America 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: Accelerating the production of papers does not address what actually bottlenecks scientific progress. Accelerating the production of papers does not address what actually bottlenecks scientific progress. Last stated a year ago
16 Jul 2025
SK
Sayash Kapoor — holds since 2025-07-16 — tap for who they are
Same subject: Current scientific publication systems may be unable to handle the increasing volume of work produced by AI. — tap to centre the map on it Current scientific publication systems may be unable to handle the increasing volume of work produced by AI. Last stated 8 months ago
19 Feb 2026
LP
Lior Pachter — holds since 2026-02-19 — tap for who they are
Same subject: Scientific progress in biology is not slowing down. — tap to centre the map on it Scientific progress in biology is not slowing down. Last stated 7 years ago
15 Aug 2019
AG
Alexey Guzey — holds since 2019-08-15 — tap for who they are
Same subject: This work could have been run as a business; open-sourcing it simply puts the tools in more scientists' hands faster. — tap to centre the map on it This work could have been run as a business; open-sourcing it simply puts the tools in more scientists' hands faster. Last stated 5 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now. — tap to centre the map on it AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now. Last stated a month ago
16 Sept 2026
KJ
Katelyn Jetelina — holds since 2026-09-16 — tap for who they are
Same subject: Progress is not driven mainly by material resources, so running out of them is not what would stop it. — tap to centre the map on it Progress is not driven mainly by material resources, so running out of them is not what would stop it. Last stated 6 years ago
12 Sept 2020
JC
Jason Crawford — holds since 2020-09-12 — tap for who they are
Same subject: The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. — tap to centre the map on it The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. Last stated 3 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: For the whole of human history the bottleneck on progress has been getting a group of smart people together around a shared goal. — tap to centre the map on it For the whole of human history the bottleneck on progress has been getting a group of smart people together around a shared goal. Last stated 3 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. — tap to centre the map on it The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. Last stated a month ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — 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
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — 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: A contest between five paid firms is not the way to get good creative work. — tap to centre the map on it A contest between five paid firms is not the way to get good creative work. Last stated 2 months ago
14 Aug 2026
SK
Susan Kare — holds since 2026-08-14 — tap for who they are
Same subject: A culture that is uncompromising but also kind and supportive is the most fertile ground for creativity. — tap to centre the map on it A culture that is uncompromising but also kind and supportive is the most fertile ground for creativity. Last stated 7 months ago
12 Apr 2026
ES
Evan Spiegel — holds since 2026-04-12 — tap for who they are
Same subject: A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them — tap to centre the map on it A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them
IA
Isaac Asimov — holds since c. 1959 — tap for who they are
At the centre
Accelerating the production of papers does not address what actually bottlenecks scientific progress.
Holds Read this korrent →
Current scientific publication systems may be unable to handle the increasing volume of work produced by AI.
Holds
Scientific progress in biology is not slowing down.
Holds
This work could have been run as a business; open-sourcing it simply puts the tools in more scientists' hands faster.
Holds
AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now.
Holds
Progress is not driven mainly by material resources, so running out of them is not what would stop it.
Holds
The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists.
Holds
For the whole of human history the bottleneck on progress has been getting a group of smart people together around a shared goal.
Holds
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
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
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
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
A contest between five paid firms is not the way to get good creative work.
Holds
A culture that is uncompromising but also kind and supportive is the most fertile ground for creativity.
Holds
A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them
Last stated c. 1959
Holds