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← The rapid emergence of sophisticated artificial intelligence models…
17 connected korrents · 17 moments from 5 Nov 2019 to 19 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AI and human skill
AI and human skill
Everything filed under measuring intelligence
measuring intelligence
Everything filed under AGI
AGI
Everything filed under AI and jobs
AI and jobs
Everything filed under innovation
innovation 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: The rapid emergence of sophisticated artificial intelligence models has enormous implications for the future of the human race. The rapid emergence of sophisticated artificial intelligence models has enormous implications for the future of the human race. Last stated a year ago
31 Jul 2025
YM
Yascha Mounk — holds since 2025-07-31 — tap for who they are
Same subject: As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people. — tap to centre the map on it As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people. Last stated 2 months ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — tap for who they are
Same subject: AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff. — tap to centre the map on it AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff. Last stated 3 months ago
15 Jul 2026
TF
Tiago Forte — holds since 2026-07-15 — tap for who they are
Same subject: Rapid world model induction will be critical for achieving robust, general AI that functions in complex, fast-changing real and human worlds — tap to centre the map on it Rapid world model induction will be critical for achieving robust, general AI that functions in complex, fast-changing real and human worlds Last stated a year ago
17 Jul 2025
FC
François Chollet — holds since 2025-07-17 — tap for who they are
Same subject: Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time. — tap to centre the map on it Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: Humans will ultimately manage the risks of AI and reap its benefits. — tap to centre the map on it Humans will ultimately manage the risks of AI and reap its benefits. Last stated a week ago
19 Oct 2026
SN
Steven Novella — holds since 2026-10-19 — tap for who they are
Same subject: A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do. — tap to centre the map on it A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do. Last stated 2 months ago
7 Sept 2026
NS
Noah Smith — holds since 2026-09-07 — tap for who they are
Same subject: As model complexity grows, it is very likely that AI will perform even better. — tap to centre the map on it As model complexity grows, it is very likely that AI will perform even better. Last stated a week ago
19 Oct 2026
VP
Vinay Prasad — holds since 2026-10-19 — tap for who they are
Same subject: No one fully understands the consequences of how capable AI is becoming. — tap to centre the map on it No one fully understands the consequences of how capable AI is becoming. Last stated 2 months ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. — tap to centre the map on it A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. Last stated a month ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it Being able to statistically predict what someone will say does not mean you understand them. Last stated a month ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — 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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. — tap to centre the map on it A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. Last stated 5 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. — tap to centre the map on it A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. Last stated 11 months ago
18 Nov 2025
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. — tap to centre the map on it A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
At the centre
The rapid emergence of sophisticated artificial intelligence models has enormous implications for the future of the human race.
Holds Read this korrent →
As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people.
Holds
AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff.
Holds
Rapid world model induction will be critical for achieving robust, general AI that functions in complex, fast-changing real and human worlds
Holds
Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time.
Holds
Humans will ultimately manage the risks of AI and reap its benefits.
Holds
A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do.
Holds
As model complexity grows, it is very likely that AI will perform even better.
Holds
No one fully understands the consequences of how capable AI is becoming.
Holds
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Holds
Being able to statistically predict what someone will say does not mean you understand them.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it.
Holds
A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do.
Holds
A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job.
Holds