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← Human control over AI is a capability constraint rather than a free…
17 connected korrents · 17 moments from 24 Oct 2017 to 21 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under reinforcement learning
reinforcement learning
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OpenAI
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AGI
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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: Human control over AI is a capability constraint rather than a free safety property, and the two trade off against each other. Human control over AI is a capability constraint rather than a free safety property, and the two trade off against each other. Last stated a month ago
19 Sept 2026
VR
Venkatesh Rao — holds since 2026-09-19 — tap for who they are
Same subject: We do not control neural networks well enough to guarantee an AI will not harm humans, so we should be careful about what capabilities we give them. — tap to centre the map on it We do not control neural networks well enough to guarantee an AI will not harm humans, so we should be careful about what capabilities we give them. Last stated 4 years ago
17 Feb 2023
AR
Armin Ronacher — holds since 2023-02-17 — tap for who they are
Same subject: Never project human mental properties onto an artificial intelligence; the difference between the two architectures is the reason to worry, not a reason not to. — tap to centre the map on it Never project human mental properties onto an artificial intelligence; the difference between the two architectures is the reason to worry, not a reason not to. Last stated 9 years ago
24 Oct 2017
ÉT
Émile P. Torres — holds since 2017-10-24 — tap for who they are
Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Control is a fundamentally limited approach that stops working on sufficiently powerful models, so alignment is still needed in the end. — tap to centre the map on it Control is a fundamentally limited approach that stops working on sufficiently powerful models, so alignment is still needed in the end. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: Machines cannot take responsibility, which is the most overlooked limit of AI; humans take responsibility and machines can only inform them. — tap to centre the map on it Machines cannot take responsibility, which is the most overlooked limit of AI; humans take responsibility and machines can only inform them. Last stated a month ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: Delegating work to AI is not the same as giving it to a human, because the oversight cannot be handed off. — tap to centre the map on it Delegating work to AI is not the same as giving it to a human, because the oversight cannot be handed off. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too. — tap to centre the map on it Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too. Last stated 2 years ago
8 Nov 2024
JL
Jan Leike — holds since 2024-11-08 — tap for who they are
Same subject: AI systems are better than humans at coordinating with each other, and they move much faster than humans do. — tap to centre the map on it AI systems are better than humans at coordinating with each other, and they move much faster than humans do. Last stated 2 months ago
31 Aug 2026
JC
Jack Clark — holds since 2026-08-31 — 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 badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 2 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
At the centre
Human control over AI is a capability constraint rather than a free safety property, and the two trade off against each other.
Holds Read this korrent →
We do not control neural networks well enough to guarantee an AI will not harm humans, so we should be careful about what capabilities we give them.
Holds
Never project human mental properties onto an artificial intelligence; the difference between the two architectures is the reason to worry, not a reason not to.
Holds
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Holds
Control is a fundamentally limited approach that stops working on sufficiently powerful models, so alignment is still needed in the end.
Holds
Machines cannot take responsibility, which is the most overlooked limit of AI; humans take responsibility and machines can only inform them.
Holds
Delegating work to AI is not the same as giving it to a human, because the oversight cannot be handed off.
Holds
Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too.
Holds
AI systems are better than humans at coordinating with each other, and they move much faster than humans do.
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 badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds