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← On any given problem an AI tool succeeds maybe one or two percent of…
17 connected korrents · 14 moments from 15 Jul 2021 to 17 Oct 2026.
Everything filed under AI and science
AI and science
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under coding agents
coding 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: On any given problem an AI tool succeeds maybe one or two percent of the time; the headline results are what running it at scale and picking the winners looks like. On any given problem an AI tool succeeds maybe one or two percent of the time; the headline results are what running it at scale and picking the winners looks like. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first. — tap to centre the map on it Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: The trouble with AI as a development tool is that it is overconfident in what it delivers, and its hit rate is nowhere near good enough. — tap to centre the map on it The trouble with AI as a development tool is that it is overconfident in what it delivers, and its hit rate is nowhere near good enough. Last stated 7 months ago
11 Mar 2026
JK
Jeff Kaplan — holds since 2026-03-11 — tap for who they are
Same subject: The error rate of these AI-generated mathematical results is impressively low. — tap to centre the map on it The error rate of these AI-generated mathematical results is impressively low. Last stated 2 weeks ago
9 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-09 — tap for who they are
Same subject: AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. — tap to centre the map on it AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: AI tools for product work only work if they understand the organisation's context. — tap to centre the map on it AI tools for product work only work if they understand the organisation's context. Last stated a month ago
10 Sept 2026
TY
Tamar Yehoshua — holds since 2026-09-10 — tap for who they are
Same subject: AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. — tap to centre the map on it AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — 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: The technical core of the AI industry lacks a high hit rate for predicting model success in real-world usage. — tap to centre the map on it The technical core of the AI industry lacks a high hit rate for predicting model success in real-world usage. Last stated 6 days ago
17 Oct 2026
NL
Nathan Lambert — holds since 2026-10-17 — 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
On any given problem an AI tool succeeds maybe one or two percent of the time; the headline results are what running it at scale and picking the winners looks like.
Holds Read this korrent →
Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first.
Holds
The trouble with AI as a development tool is that it is overconfident in what it delivers, and its hit rate is nowhere near good enough.
Holds
The error rate of these AI-generated mathematical results is impressively low.
Holds
AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge.
Holds
AI tools for product work only work if they understand the organisation's context.
Holds
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
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
The technical core of the AI industry lacks a high hit rate for predicting model success in real-world usage.
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