Tap a claim on the ring to put it at the centre.
← Going all in on AI is not the highest-return strategy for human…
17 connected korrents · 16 moments from 15 Jul 2021 to 28 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under AI alignment
AI alignment
Everything filed under dementia
dementia
Everything filed under scaling laws
scaling laws
Everything filed under market efficiency
market efficiency
Everything filed under creativity
creativity
Everything filed under LLMs
LLMs In tension 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: Going all in on AI is not the highest-return strategy for human flourishing, even if AI does produce rapid scientific advances. Going all in on AI is not the highest-return strategy for human flourishing, even if AI does produce rapid scientific advances. Last stated a year ago
2 Aug 2025
JT
Jacob Trefethen — holds since 2025-08-02 — tap for who they are
In tension: Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the world's highest priorities. — tap to centre the map on it Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the world's highest priorities. Last stated 2 months ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: Rapid AI progress does not automatically produce rapid medical progress; without complementary investment, people still get cancer and Alzheimer's. — tap to centre the map on it Rapid AI progress does not automatically produce rapid medical progress; without complementary investment, people still get cancer and Alzheimer's. Last stated a year ago
2 Aug 2025
JT
Jacob Trefethen — holds since 2025-08-02 — tap for who they are
Same subject: AI research is on a good trajectory overall — good for science and good for society — and existential concerns will only become relevant in the distant future. — tap to centre the map on it AI research is on a good trajectory overall — good for science and good for society — and existential concerns will only become relevant in the distant future. Last stated 3 years ago
12 Aug 2023
YB
Yoshua Bengio — holds since 2023-08-12 — tap for who they are
YB
Yoshua Bengio — no longer holds since 2023-08-12 — tap for who they are
Same subject: Scaling up spending on expert human data has not been a major driver of progress in AI research. — tap to centre the map on it Scaling up spending on expert human data has not been a major driver of progress in AI research. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little. — tap to centre the map on it Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little. Last stated 4 months ago
10 Jun 2026
RD
Ray Dalio — holds since 2026-06-10 — tap for who they are
Same subject: Whenever AI can do something as well as or better than humans, that thing arguably stops being valuable or special. — tap to centre the map on it Whenever AI can do something as well as or better than humans, that thing arguably stops being valuable or special. Last stated 4 weeks ago
28 Sept 2026
PL
Pieter Levels — holds since 2026-09-28 — tap for who they are
Same subject: There are few clear-cut cases in biopharma today where buying an AI system is obviously worth it. — tap to centre the map on it There are few clear-cut cases in biopharma today where buying an AI system is obviously worth it. Last stated 2 years ago
14 Oct 2024
DL
Derek Lowe — holds since 2024-10-14 — tap for who they are
Same subject: Roughly half of the possible outcomes of advanced AI development would be good or great for society. — tap to centre the map on it Roughly half of the possible outcomes of advanced AI development would be good or great for society. Last stated a month ago
15 Sept 2026
MS
M.G. Siegler — holds since 2026-09-15 — tap for who they are
Same subject: A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one. — tap to centre the map on it A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — 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
At the centre
Going all in on AI is not the highest-return strategy for human flourishing, even if AI does produce rapid scientific advances.
Holds Read this korrent →
Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the world's highest priorities.
Holds
Rapid AI progress does not automatically produce rapid medical progress; without complementary investment, people still get cancer and Alzheimer's.
Holds
AI research is on a good trajectory overall — good for science and good for society — and existential concerns will only become relevant in the distant future.
No longer holds
Scaling up spending on expert human data has not been a major driver of progress in AI research.
Holds
Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little.
Holds
Whenever AI can do something as well as or better than humans, that thing arguably stops being valuable or special.
Holds
There are few clear-cut cases in biopharma today where buying an AI system is obviously worth it.
Holds
Roughly half of the possible outcomes of advanced AI development would be good or great for society.
Holds
A company can treat AI as a way to grow and do more or as a cost-cutting exercise, and the growth reading is the better one.
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