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← The rapid growth of AI poses several profound pragmatic reasons for concern.
17 connected korrents · 14 moments from 15 Feb 2022 to 6 Oct 2026.
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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: The rapid growth of AI poses several profound pragmatic reasons for concern. The rapid growth of AI poses several profound pragmatic reasons for concern. Last stated yesterday
6 Oct 2026
BM
Bill McKibben — holds since 2026-10-06 — tap for who they are
Same subject: The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else. — tap to centre the map on it The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. — tap to centre the map on it AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. Last stated a year ago
25 Sept 2025
MB
Miles Brundage — holds since 2025-09-25 — 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: AI has arguably been hitting its marks so far, roughly as anticipated by people who are really worried about existential threats. — tap to centre the map on it AI has arguably been hitting its marks so far, roughly as anticipated by people who are really worried about existential threats. Last stated 3 weeks ago
15 Sept 2026
NS
Nate Silver — holds since 2026-09-15 — 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: It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown. — tap to centre the map on it It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown. Last stated 3 weeks ago
15 Sept 2026
NS
Nate Silver — holds since 2026-09-15 — tap for who they are
Same subject: Once AI starts to feel powerful rather than mistake-prone, every AI company will become far more paranoid about safety than it is today. — tap to centre the map on it Once AI starts to feel powerful rather than mistake-prone, every AI company will become far more paranoid about safety than it is today. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. — tap to centre the map on it The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. Last stated a month ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — tap for who they are
Same subject: "Move fast and break things" is the wrong mantra when you are dealing with atoms; the job is to move fast and ship safely. — tap to centre the map on it "Move fast and break things" is the wrong mantra when you are dealing with atoms; the job is to move fast and ship safely. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: AI companies promote themselves around 'taste' because their products are unappealing outside tech circles. — tap to centre the map on it AI companies promote themselves around 'taste' because their products are unappealing outside tech circles. Last stated 6 months ago
26 Mar 2026
KC
Kyle Chayka — holds since 2026-03-26 — tap for who they are
Same subject: Algorithmic optimization can optimize people to be resentful and angry online — tap to centre the map on it Algorithmic optimization can optimize people to be resentful and angry online Last stated 5 years ago
15 Feb 2022
DH
David Heinemeier Hansson — holds since 2022-02-15 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. — tap to centre the map on it Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
At the centre
The rapid growth of AI poses several profound pragmatic reasons for concern.
Holds Read this korrent →
The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else.
Holds
AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action.
Holds
As AI advances, thinking philosophically about its implications will become a common job and pastime for large numbers of people.
Holds
AI has arguably been hitting its marks so far, roughly as anticipated by people who are really worried about existential threats.
Holds
Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time.
Holds
It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown.
Holds
Once AI starts to feel powerful rather than mistake-prone, every AI company will become far more paranoid about safety than it is today.
Holds
The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic.
Holds
"Move fast and break things" is the wrong mantra when you are dealing with atoms; the job is to move fast and ship safely.
Holds
AI companies promote themselves around 'taste' because their products are unappealing outside tech circles.
Holds
Algorithmic optimization can optimize people to be resentful and angry online
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Holds