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← AI tools are already making scientists more productive and creative, and more discoveries should follow.
17 connected korrents · 16 moments from 15 Jul 2021 to 12 Oct 2026.
Everything filed under AI and science
AI and science
Everything filed under LLMs
LLMs
Everything filed under AI agents
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: AI tools are already making scientists more productive and creative, and more discoveries should follow. AI tools are already making scientists more productive and creative, and more discoveries should follow. Last stated a year ago
2 Aug 2025
JT
Jacob Trefethen — holds since 2025-08-02 — tap for who they are
Same subject: AI tools can come up with interesting and useful mathematical problems and conjectures. — tap to centre the map on it AI tools can come up with interesting and useful mathematical problems and conjectures. Last stated a month ago
22 Sept 2026
GK
Gil Kalai — holds since 2026-09-22 — tap for who they are
Same subject: New AI tooling can facilitate genuine human collaboration. — tap to centre the map on it New AI tooling can facilitate genuine human collaboration. Last stated 6 months ago
20 Apr 2026
BF
Brad Frost — holds since 2026-04-20 — tap for who they are
Same subject: AI is a powerful tool for providing accurate, up-to-date, science-based answers to questions when used correctly. — tap to centre the map on it AI is a powerful tool for providing accurate, up-to-date, science-based answers to questions when used correctly. Last stated 3 weeks ago
12 Oct 2026
PO
Paul Offit — holds since 2026-10-12 — tap for who they are
Same subject: The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour. — tap to centre the map on it The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: AI tools cannot replace researchers, and in the hands of non-researchers they often do more harm than good. — tap to centre the map on it AI tools cannot replace researchers, and in the hands of non-researchers they often do more harm than good. Last stated 12 months ago
7 Nov 2025
JA
Judd Antin — holds since 2025-11-07 — tap for who they are
Same subject: For a company with many ideas but limited resources, AI tools amount to a nearly infinite supply of engineering. — tap to centre the map on it For a company with many ideas but limited resources, AI tools amount to a nearly infinite supply of engineering. Last stated 7 months ago
12 Apr 2026
ES
Evan Spiegel — holds since 2026-04-12 — tap for who they are
Same subject: An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. — tap to centre the map on it An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. Last stated 12 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: In tech, not using AI tools to increase efficiency results in falling behind. — tap to centre the map on it In tech, not using AI tools to increase efficiency results in falling behind. Last stated 6 months ago
by 9 May 2026
PP
Praveen Kumar Purushothaman — holds since 2026-05-09 — 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
AI tools are already making scientists more productive and creative, and more discoveries should follow.
Holds Read this korrent →
AI tools can come up with interesting and useful mathematical problems and conjectures.
Holds
New AI tooling can facilitate genuine human collaboration.
Holds
AI is a powerful tool for providing accurate, up-to-date, science-based answers to questions when used correctly.
Holds
The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour.
Holds
AI tools cannot replace researchers, and in the hands of non-researchers they often do more harm than good.
Holds
For a company with many ideas but limited resources, AI tools amount to a nearly infinite supply of engineering.
Holds
An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient.
Holds
In tech, not using AI tools to increase efficiency results in falling behind.
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