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← How far AI systems are scaled must be constrained by how confident we are in their safety.
17 connected korrents · 15 moments from 10 Oct 2023 to 15 Sept 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 LLMs
LLMs
Everything filed under design
design 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: How far AI systems are scaled must be constrained by how confident we are in their safety. How far AI systems are scaled must be constrained by how confident we are in their safety. Last stated 2 months ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Confidence in monitoring, not capability research, will become the binding constraint on AI progress. — tap to centre the map on it Confidence in monitoring, not capability research, will become the binding constraint on AI progress. Last stated 2 months ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits. — tap to centre the map on it Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits. Last stated 3 years ago
26 Oct 2023
YB
Yoshua Bengio — holds since 2023-10-26 — tap for who they are
Same subject: Confidence in safety, not capability, will increasingly set the pace of AI progress. — tap to centre the map on it Confidence in safety, not capability, will increasingly set the pace of AI progress. Last stated 2 months ago
18 Aug 2026
SA
Sam Altman — holds since 2026-08-18 — 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: AI must be democratized, and power over it should not become too concentrated. — tap to centre the map on it AI must be democratized, and power over it should not become too concentrated. Last stated 6 months ago
10 Apr 2026
SA
Sam Altman — holds since 2026-04-10 — tap for who they are
Same subject: AI must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action. — tap to centre the map on it AI must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action. Last stated 3 years ago
26 Oct 2023
YB
Yoshua Bengio — holds since 2023-10-26 — tap for who they are
Same subject: The biggest constraint on building AI products is people's ability to understand and absorb what they are given. — tap to centre the map on it The biggest constraint on building AI products is people's ability to understand and absorb what they are given. Last stated a month ago
10 Sept 2026
NY
Nan Yu — holds since 2026-09-10 — tap for who they are
Same subject: Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers. — tap to centre the map on it Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers. Last stated 3 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — 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
At the centre
How far AI systems are scaled must be constrained by how confident we are in their safety.
Holds Read this korrent →
Confidence in monitoring, not capability research, will become the binding constraint on AI progress.
Holds
Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits.
Holds
Confidence in safety, not capability, will increasingly set the pace of AI progress.
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
AI must be democratized, and power over it should not become too concentrated.
Holds
AI must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action.
Holds
The biggest constraint on building AI products is people's ability to understand and absorb what they are given.
Holds
Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers.
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
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Holds
A company cannot be led by machines, because nobody would have recourse against them.
Holds
A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Holds