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← Falling AI costs make AI safer rather than more dangerous, because a…
17 connected korrents · 17 moments from 10 Oct 2023 to 15 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AGI
AGI
Everything filed under AI agents
AI agents
Everything filed under reinforcement learning
reinforcement learning
Everything filed under investing
investing
Everything filed under optimism
optimism
Everything filed under robotics
robotics
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: Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.
Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.
Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: The marginal value of AI safety evaluations is low. — tap to centre the map on it
The marginal value of AI safety evaluations is low.
Last stated a week ago
15 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-15 — tap for who they are
Same subject: As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners. — tap to centre the map on it
As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners.
Last stated a year ago
19 Jun 2025
MB
Miles Brundage — holds since 2025-06-19 — tap for who they are
Same subject: AI companies will not fix their own security without outside pressure, because they bear the cost of investing and everyone else bears the cost of their not investing. — tap to centre the map on it
AI companies will not fix their own security without outside pressure, because they bear the cost of investing and everyone else bears the cost of their not investing.
Last stated 2 years ago
10 Jan 2025
MB
Miles Brundage — holds since 2025-01-10 — tap for who they are
Same subject: The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly. — tap to centre the map on it
The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly.
Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — 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 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it. — tap to centre the map on it
The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it.
Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: AI's long-run cost/benefit balance favors poorer people more than richer ones. — tap to centre the map on it
AI's long-run cost/benefit balance favors poorer people more than richer ones.
Last stated 4 weeks ago
23 Sept 2026
SS
Scott Sumner — holds since 2026-09-23 — tap for who they are
Same subject: Better AI makes robots cheaper, because cheap visual feedback removes the need for expensive mechanical precision. — tap to centre the map on it
Better AI makes robots cheaper, because cheap visual feedback removes the need for expensive mechanical precision.
Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — 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 5 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 3 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 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. — tap to centre the map on it
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Last stated 5 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — tap for who they are
Same subject: A company cannot be led by machines, because nobody would have recourse against them. — tap to centre the map on it
A company cannot be led by machines, because nobody would have recourse against them.
Last stated a month ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. — tap to centre the map on it
A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Last stated 2 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are
At the centre
Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.
Last stated 8 Jan 2026 · 9 months ago
Holds Jensen Huang
Read this korrent →
Similar wording
The marginal value of AI safety evaluations is low.
Last stated 15 Oct 2026 · a week ago
Holds Zvi Mowshowitz
Similar wording
As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners.
Last stated 19 Jun 2025 · a year ago
Holds Miles Brundage
Similar wording
AI companies will not fix their own security without outside pressure, because they bear the cost of investing and everyone else bears the cost of their not investing.
Last stated 10 Jan 2025 · 2 years ago
Holds Miles Brundage
Similar wording
The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly.
Last stated 11 Aug 2026 · 2 months ago
Holds Ryan Greenblatt
Similar wording
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 25 Nov 2025 · 11 months ago
Holds Ilya Sutskever
Similar wording
The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it.
Last stated 18 Mar 2024 · 3 years ago
Holds Sam Altman
Similar wording
AI's long-run cost/benefit balance favors poorer people more than richer ones.
Last stated 23 Sept 2026 · 4 weeks ago
Holds Scott Sumner
Similar wording
Better AI makes robots cheaper, because cheap visual feedback removes the need for expensive mechanical precision.
Last stated 12 Sept 2025 · a year ago
Holds Sergey Levine
Same subject: AGI
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 Jun 2026 · 5 months ago
Holds Alex Imas
Same subject: AGI
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 7 Jun 2025 · a year ago
Holds Gary Marcus
Same subject: AGI
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Last stated 10 Oct 2023 · 3 years ago
Holds Chip Huyen
Same subject: reinforcement learning
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Last stated 3 Aug 2026 · 3 months ago
Holds Dmitri Dolgov
Same subject: reinforcement learning
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 17 Nov 2025 · 11 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Last stated 3 Aug 2026 · 3 months ago
Holds Dmitri Dolgov
Same subject: AI agents
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Last stated 21 May 2026 · 5 months ago
Holds Rohit Krishnan
Same subject: AI agents
A company cannot be led by machines, because nobody would have recourse against them.
Last stated 15 Sept 2026 · a month ago
Holds Tobias Lütke
Same subject: AI agents
A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Last stated 10 Aug 2026 · 2 months ago
Holds Peter Steinberger