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← AI is becoming the next major paradigm shift in biology, following genetics and genomics.
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 protein structure prediction
protein structure prediction
Everything filed under mathematics
mathematics
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under AI and jobs
AI and jobs
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: AI is becoming the next major paradigm shift in biology, following genetics and genomics. 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: AI is already changing the scientific process by shifting bottlenecks downstream. — tap to centre the map on it 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: As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people. — tap to centre the map on it As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people. Last stated a month ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — 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: AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff. — tap to centre the map on it AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff. Last stated 3 months ago
15 Jul 2026
TF
Tiago Forte — holds since 2026-07-15 — tap for who they are
Same subject: AI is dramatically changing how people work and is here to stay. — tap to centre the map on it AI is dramatically changing how people work and is here to stay. Last stated 4 weeks ago
2 Sept 2026
SK
Steve Klabnik — holds since 2026-09-02 — 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: AI's impact will be bigger than the internet's, and more profound. — tap to centre the map on it AI's impact will be bigger than the internet's, and more profound. Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: AI represents the largest change to society in a very long time, perhaps ever. — tap to centre the map on it AI represents the largest change to society in a very long time, perhaps ever. Last stated 6 months ago
10 Apr 2026
SA
Sam Altman — holds since 2026-04-10 — 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 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
Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
At the centre
AI is becoming the next major paradigm shift in biology, following genetics and genomics.
Holds Read this korrent →
AI is already changing the scientific process by shifting bottlenecks downstream.
Holds
As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people.
Holds
AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now.
Holds
AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff.
Holds
AI is dramatically changing how people work and is here to stay.
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
AI's impact will be bigger than the internet's, and more profound.
Holds
AI represents the largest change to society in a very long time, perhaps ever.
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 self-improvement may not be powerful enough to overcome diminishing returns.
Holds
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Holds