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← Arguments that AI can't create superviruses because it lacks enough real-world data deserve skepticism.
17 connected korrents · 16 moments from 15 Jul 2021 to 23 Sept 2026.
Everything filed under AI and science
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AI agents 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: Arguments that AI can't create superviruses because it lacks enough real-world data deserve skepticism. Arguments that AI can't create superviruses because it lacks enough real-world data deserve skepticism. Last stated 3 weeks ago
23 Sept 2026
NS
Noah Smith — holds since 2026-09-23 — tap for who they are
Same subject: It is foolish to confidently proclaim that AI will not be able to make bioweapons. — tap to centre the map on it It is foolish to confidently proclaim that AI will not be able to make bioweapons. Last stated 4 weeks ago
17 Sept 2026
NS
Noah Smith — holds since 2026-09-17 — tap for who they are
Same subject: AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. — tap to centre the map on it AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: AI-designed superviruses outweigh every other risk in the world right now. — tap to centre the map on it AI-designed superviruses outweigh every other risk in the world right now. Last stated 2 months ago
28 Aug 2026
NS
Noah Smith — holds since 2026-08-28 — tap for who they are
Same subject: No company is anywhere near a single God AI, and no researcher has any reasonable ability to build one. — tap to centre the map on it No company is anywhere near a single God AI, and no researcher has any reasonable ability to build one. Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: Claims that AI will be a net benefit for the climate lack strong supporting evidence. — tap to centre the map on it Claims that AI will be a net benefit for the climate lack strong supporting evidence. Last stated a month ago
16 Sept 2026
KJ
Ketan Joshi — holds since 2026-09-16 — tap for who they are
Same subject: Even when AI is capable of performing a job, it may not be permitted to do so. — tap to centre the map on it Even when AI is capable of performing a job, it may not be permitted to do so. Last stated 2 months ago
1 Sept 2026
NM
Nick Maggiulli — holds since 2026-09-01 — tap for who they are
Same subject: Letting the public see a powerful AI does something no essay about AI can do, and that is a real reason not to straight-shot superintelligence. — tap to centre the map on it Letting the public see a powerful AI does something no essay about AI can do, and that is a real reason not to straight-shot superintelligence. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. — tap to centre the map on it Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. Last stated 8 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. — tap to centre the map on it Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. — tap to centre the map on it AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. Last stated 11 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — 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 could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. — tap to centre the map on it AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape. — tap to centre the map on it AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that. — tap to centre the map on it AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that. Last stated a year ago
14 Jun 2025
LF
Lex Fridman — holds since 2025-06-14 — tap for who they are
At the centre
Arguments that AI can't create superviruses because it lacks enough real-world data deserve skepticism.
Holds Read this korrent →
It is foolish to confidently proclaim that AI will not be able to make bioweapons.
Holds
AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it.
Holds
AI-designed superviruses outweigh every other risk in the world right now.
Holds
No company is anywhere near a single God AI, and no researcher has any reasonable ability to build one.
Holds
Claims that AI will be a net benefit for the climate lack strong supporting evidence.
Holds
Even when AI is capable of performing a job, it may not be permitted to do so.
Holds
Letting the public see a powerful AI does something no essay about AI can do, and that is a real reason not to straight-shot superintelligence.
Holds
Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet.
Holds
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Holds
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Holds
AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points.
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 could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder.
Holds
AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape.
Holds
AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that.
Holds