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← AI is already changing the scientific process by shifting bottlenecks downstream.
17 connected korrents · 16 moments from 15 Jul 2021 to 27 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under mathematics
mathematics
Everything filed under protein structure prediction
protein structure prediction
Everything filed under AI and jobs
AI and jobs
Everything filed under LLMs
LLMs 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 already changing the scientific process by shifting bottlenecks downstream. AI is already changing the scientific process by shifting bottlenecks downstream. Last stated 5 days ago
27 Sept 2026
TC
Tyler Cowen — holds since 2026-09-27 — tap for who they are
Same subject: The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. — tap to centre the map on it The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. Last stated a week ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work. — tap to centre the map on it As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work. Last stated 5 months ago
3 May 2026
EY
Eugene Yan — holds since 2026-05-03 — 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 2 weeks ago
16 Sept 2026
KJ
Katelyn Jetelina — holds since 2026-09-16 — 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 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it. — tap to centre the map on it AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it. Last stated 3 weeks ago
10 Sept 2026
GC
Geoff Charles — holds since 2026-09-10 — tap for who they are
Same subject: AI is becoming the next major paradigm shift in biology, following genetics and genomics. — tap to centre the map on it AI is becoming the next major paradigm shift in biology, following genetics and genomics. Last stated 3 months ago
21 Jun 2026
EH
Elliot Hershberg — holds since 2026-06-21 — tap for who they are
Same subject: As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves. — tap to centre the map on it As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves. Last stated 2 months ago
17 Aug 2026
JC
Jack Clark — holds since 2026-08-17 — tap for who they are
Same subject: Change from already-capable AI is inevitable no matter how the frontier is paced, though it will be uneven and not all at once. — tap to centre the map on it Change from already-capable AI is inevitable no matter how the frontier is paced, though it will be uneven and not all at once. Last stated 2 weeks ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — 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: 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 persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock. — tap to centre the map on it A persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock. Last stated 7 months ago
3 Mar 2026
SB
Sanjay Bakshi — holds since 2026-03-03 — tap for who they are
Same subject: A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. — tap to centre the map on it A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. Last stated 2 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are
Same subject: AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: AI self-improvement may not be powerful enough to overcome diminishing returns. — tap to centre the map on it AI self-improvement may not be powerful enough to overcome diminishing returns. Last stated 5 days ago
27 Sept 2026
RN
Ramez Naam — holds since 2026-09-27 — tap for who they are
At the centre
AI is already changing the scientific process by shifting bottlenecks downstream.
Holds Read this korrent →
The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output.
Holds
As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work.
Holds
AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now.
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
AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it.
Holds
AI is becoming the next major paradigm shift in biology, following genetics and genomics.
Holds
As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves.
Holds
Change from already-capable AI is inevitable no matter how the frontier is paced, though it will be uneven and not all at once.
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 persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock.
Holds
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Holds
AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033.
Holds
AI self-improvement may not be powerful enough to overcome diminishing returns.
Holds