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← Companies will probably come to run on a cascade of AI loops, from a…
17 connected korrents · 16 moments from 5 Nov 2019 to 23 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under AI alignment
AI alignment
Everything filed under AI and human skill
AI and human skill
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measuring intelligence
Everything filed under AGI
AGI
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: Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company. Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company. Last stated 4 weeks ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: Jobs will not be replaced outright: AIs will take most of the volume while humans supervise teams of them and handle the rest. — tap to centre the map on it Jobs will not be replaced outright: AIs will take most of the volume while humans supervise teams of them and handle the rest. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses. — tap to centre the map on it Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers. — tap to centre the map on it A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company. — tap to centre the map on it Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. — tap to centre the map on it The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. Last stated 4 weeks ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — 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 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: If companies replace large numbers of workers with machine learning, money and power will become more concentrated in the hands of capital. — tap to centre the map on it If companies replace large numbers of workers with machine learning, money and power will become more concentrated in the hands of capital. Last stated 6 months ago
14 Apr 2026
KK
Kyle Kingsbury — holds since 2026-04-14 — 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 a month ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — 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 deep theoretical understanding to predict AI behavior is unattainable. — tap to centre the map on it A deep theoretical understanding to predict AI behavior is unattainable. Last stated a week ago
23 Sept 2026
TC
Tyler Cowen — holds since 2026-09-23 — 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 a month 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 4 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 10 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
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 2 weeks ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — 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: Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce. — tap to centre the map on it Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce. Last stated 3 years ago
29 Jun 2023
GH
George Hotz — holds since 2023-06-29 — tap for who they are
At the centre
Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company.
Holds Read this korrent →
Jobs will not be replaced outright: AIs will take most of the volume while humans supervise teams of them and handle the rest.
Holds
Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses.
Holds
A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers.
Holds
Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company.
Holds
The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI.
Holds
Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time.
Holds
If companies replace large numbers of workers with machine learning, money and power will become more concentrated in the hands of capital.
Holds
As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people.
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 deep theoretical understanding to predict AI behavior is unattainable.
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
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce.
Holds