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← Computer science has already revolutionized biological research.
17 connected korrents · 15 moments from 23 Jan 2020 to 22 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under mathematics
mathematics
Everything filed under protein structure prediction
protein structure prediction
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under innovation
innovation 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: Computer science has already revolutionized biological research. Computer science has already revolutionized biological research. Last stated 4 months ago
21 Jun 2026
EH
Elliot Hershberg — holds since 2026-06-21 — tap for who they are
Same subject: That organisms are algorithms is current scientific dogma, and it is changing the world beyond recognition — tap to centre the map on it That organisms are algorithms is current scientific dogma, and it is changing the world beyond recognition
YH
Yuval Noah Harari — holds since c. 2015–2017 — 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 4 months ago
21 Jun 2026
EH
Elliot Hershberg — holds since 2026-06-21 — tap for who they are
Same subject: Biological knowledge times computing power times data equals the ability to hack humans — tap to centre the map on it Biological knowledge times computing power times data equals the ability to hack humans Last stated 7 years ago
23 Jan 2020
YH
Yuval Noah Harari — holds since 2020-01-23 — 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: Studying what arbitrary computational rules do is a distinct science, separate from computer science and mathematics. — tap to centre the map on it Studying what arbitrary computational rules do is a distinct science, separate from computer science and mathematics. Last stated 9 months ago
12 Jan 2026
SW
Stephen Wolfram — holds since 2026-01-12 — tap for who they are
Same subject: Scientific discovery is ready to be rewritten, because for all of history it has run at the speed of smart humans remembering what other smart humans learned. — tap to centre the map on it Scientific discovery is ready to be rewritten, because for all of history it has run at the speed of smart humans remembering what other smart humans learned. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. — tap to centre the map on it AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: Building at the AI frontier is science rather than programming: you pose hypotheses and invalidate them again and again. — tap to centre the map on it Building at the AI frontier is science rather than programming: you pose hypotheses and invalidate them again and again. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — 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 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 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 8 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 4 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 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. Last stated a month ago
22 Sept 2026
TC
Tyler Cowen — holds since 2026-09-22 — 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 3 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
At the centre
Computer science has already revolutionized biological research.
Holds Read this korrent →
That organisms are algorithms is current scientific dogma, and it is changing the world beyond recognition
Last stated c. 2015–2017
Holds
AI is becoming the next major paradigm shift in biology, following genetics and genomics.
Holds
Biological knowledge times computing power times data equals the ability to hack humans
Holds
AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now.
Holds
Studying what arbitrary computational rules do is a distinct science, separate from computer science and mathematics.
Holds
Scientific discovery is ready to be rewritten, because for all of history it has run at the speed of smart humans remembering what other smart humans learned.
Holds
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Holds
Building at the AI frontier is science rather than programming: you pose hypotheses and invalidate them again and again.
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
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
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