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← AI will transform how scientific discovery is done, and within two or…
17 connected korrents · 16 moments from 15 Jul 2021 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 peer review
peer review
Everything filed under AI and jobs
AI and jobs
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under energy
energy
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 will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different. AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different. Last stated 2 months ago
18 Aug 2026
MK
Michael Kratsios — holds since 2026-08-18 — tap for who they are
Same subject: Once AI can do AI research, a single year should deliver four or five years worth of AI progress. — tap to centre the map on it Once AI can do AI research, a single year should deliver four or five years worth of AI progress. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: AI is becoming as fundamental to knowledge work as electricity was to industry. — tap to centre the map on it AI is becoming as fundamental to knowledge work as electricity was to industry. Last stated a month ago
9 Sept 2026
NL
Nathan Lambert — holds since 2026-09-09 — 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 4 weeks ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: Powerful AI will compress the biological and medical progress of the next 50-100 years into 5-10 years. — tap to centre the map on it Powerful AI will compress the biological and medical progress of the next 50-100 years into 5-10 years. Last stated 2 years ago
1 Oct 2024
DA
Dario Amodei — holds since 2024-10-01 — tap for who they are
Same subject: Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job. — tap to centre the map on it Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. — tap to centre the map on it The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. Last stated 3 months ago
15 Jul 2026
TY
Tynan — holds since 2026-07-15 — tap for who they are
Same subject: AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth. — tap to centre the map on it AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth. Last stated 10 months ago
1 Jan 2026
DA
Dario Amodei — holds since 2026-01-01 — 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: 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: Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication. — tap to centre the map on it Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication. Last stated 2 months ago
17 Aug 2026
TT
Terence Tao — holds since 2026-08-17 — tap for who they are
Same subject: Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. — tap to centre the map on it Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. Last stated 4 months ago
15 Jun 2026
RK
Rohit Krishnan — holds since 2026-06-15 — tap for who they are
Same subject: Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. — tap to centre the map on it Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. Last stated a year ago
13 Oct 2025
AH
Anton Howes — holds since 2025-10-13 — tap for who they are
At the centre
AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different.
Holds Read this korrent →
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
AI is becoming as fundamental to knowledge work as electricity was to industry.
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
Powerful AI will compress the biological and medical progress of the next 50-100 years into 5-10 years.
Holds
Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job.
Holds
The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet.
Holds
AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth.
Holds
AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033.
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
Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication.
Holds
Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced.
Holds
Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field.
Holds