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← AI has now matured enough to deliver on the promises made about it in its early days
15 connected korrents · 12 moments on record from 15 Jul 2021 to 15 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under code generation
code generation
Everything filed under AI agents
AI agents
Everything filed under design
design 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 has now matured enough to deliver on the promises made about it in its early days AI has now matured enough to deliver on the promises made about it in its early days Last stated 6 days ago
15 Sept 2026
TT
Tomasz Tunguz — holds since 2026-09-15 — tap for who they are
Same subject: AI has basically been hitting its marks as anticipated by people who are really worried about existential threats. — tap to centre the map on it AI has basically been hitting its marks as anticipated by people who are really worried about existential threats. Last stated 6 days ago
15 Sept 2026
NS
Nate Silver — holds since 2026-09-15 — tap for who they are
Same subject: AI has made his papers richer and broader, but not deeper. — tap to centre the map on it AI has made his papers richer and broader, but not deeper. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: Public sentiment on AI is shifting steadily toward greater concern about its risks, not less. — tap to centre the map on it Public sentiment on AI is shifting steadily toward greater concern about its risks, not less. Last stated a week ago
11 Sept 2026
CN
Casey Newton — holds since 2026-09-11 — tap for who they are
Same subject: Existing AI models were already more than good enough for writing code and do more than can be utilized from them. — tap to centre the map on it Existing AI models were already more than good enough for writing code and do more than can be utilized from them. Last stated 2 weeks ago
8 Sept 2026
GO
Gergely Orosz — holds since 2026-09-08 — tap for who they are
Same subject: AI is at its best when it reuses great existing components rather than regenerating everything from first principles. — tap to centre the map on it AI is at its best when it reuses great existing components rather than regenerating everything from first principles. Last stated 2 weeks ago
8 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-08 — tap for who they are
Same subject: AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them. — tap to centre the map on it AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them. Last stated a week ago
11 Sept 2026
FA
Fatih Arslan — holds since 2026-09-11 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A model may have a worldview of its own, but it can never be placed above a person under any circumstance. — tap to centre the map on it A model may have a worldview of its own, but it can never be placed above a person under any circumstance. Last stated 4 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — 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: 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: 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 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
At the centre
AI has now matured enough to deliver on the promises made about it in its early days
Holds Read this korrent →
AI has basically been hitting its marks as anticipated by people who are really worried about existential threats.
Holds
AI has made his papers richer and broader, but not deeper.
Holds
Public sentiment on AI is shifting steadily toward greater concern about its risks, not less.
Holds
Existing AI models were already more than good enough for writing code and do more than can be utilized from them.
Holds
AI is at its best when it reuses great existing components rather than regenerating everything from first principles.
Holds
AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Holds
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
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
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
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
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