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← Building a mechanistic whole-cell model of a human cell is far more…
17 connected korrents · 13 moments from 15 Jul 2021 to 3 Oct 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 physics
physics
Everything filed under evolutionary biology
evolutionary biology 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: Building a mechanistic whole-cell model of a human cell is far more uncertain in timeline than doing so for simpler organisms like E. coli. Building a mechanistic whole-cell model of a human cell is far more uncertain in timeline than doing so for simpler organisms like E. coli. Last stated a year ago
29 Jun 2025
EH
Elliot Hershberg — holds since 2025-06-29 — tap for who they are
Same subject: The number of cells in an organism can determine its complexity or nature. — tap to centre the map on it The number of cells in an organism can determine its complexity or nature. Last stated yesterday
3 Oct 2026
EM
Elon Musk — holds since 2026-10-03 — tap for who they are
Same subject: Biology has already handed us an alien library: hundreds of millions of protein machines we do not understand and can only study one at a time. — tap to centre the map on it Biology has already handed us an alien library: hundreds of millions of protein machines we do not understand and can only study one at a time. Last stated 6 months ago
7 Apr 2026
MN
Michael Nielsen — holds since 2026-04-07 — tap for who they are
Same subject: Unlike physics, biology's complexity and nonlinearity make a brute-force approach to knowledge creation necessary rather than one based on writing down equations. — tap to centre the map on it Unlike physics, biology's complexity and nonlinearity make a brute-force approach to knowledge creation necessary rather than one based on writing down equations. Last stated a year ago
29 Jun 2025
EH
Elliot Hershberg — holds since 2025-06-29 — tap for who they are
Same subject: Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from. — tap to centre the map on it Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: Bacteria never became complex because the barrier is structure, not information — they explored genetic space far more thoroughly than eukaryotes and still got stuck. — tap to centre the map on it Bacteria never became complex because the barrier is structure, not information — they explored genetic space far more thoroughly than eukaryotes and still got stuck. Last stated 4 years ago
7 Sept 2022
NL
Nick Lane — holds since 2022-09-07 — tap for who they are
Same subject: Biology models are smaller than language models only because there is less data, not because biology is simpler. — tap to centre the map on it Biology models are smaller than language models only because there is less data, not because biology is simpler. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — 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: There is no necessary trajectory from simple life to complexity: without photosynthesis or eukaryotes, the planet could have stayed bacteria and nothing else. — tap to centre the map on it There is no necessary trajectory from simple life to complexity: without photosynthesis or eukaryotes, the planet could have stayed bacteria and nothing else. Last stated 4 years ago
7 Sept 2022
NL
Nick Lane — holds since 2022-09-07 — 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: Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. — tap to centre the map on it Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — 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 a week ago
27 Sept 2026
RN
Ramez Naam — holds since 2026-09-27 — tap for who they are
At the centre
Building a mechanistic whole-cell model of a human cell is far more uncertain in timeline than doing so for simpler organisms like E. coli.
Holds Read this korrent →
The number of cells in an organism can determine its complexity or nature.
Holds
Biology has already handed us an alien library: hundreds of millions of protein machines we do not understand and can only study one at a time.
Holds
Unlike physics, biology's complexity and nonlinearity make a brute-force approach to knowledge creation necessary rather than one based on writing down equations.
Holds
Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from.
Holds
Bacteria never became complex because the barrier is structure, not information — they explored genetic space far more thoroughly than eukaryotes and still got stuck.
Holds
Biology models are smaller than language models only because there is less data, not because biology is simpler.
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
There is no necessary trajectory from simple life to complexity: without photosynthesis or eukaryotes, the planet could have stayed bacteria and nothing else.
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
Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available.
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