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← LLM-powered agents on their own cannot become superintelligent and…
17 connected korrents · 16 moments from 7 Sept 2008 to 30 Sept 2026. Nearly all of them are about OpenAI .
Everything filed under AI alignment
AI alignment
Everything filed under AI agents
AI agents
Everything filed under AGI
AGI
Everything filed under reinforcement learning
reinforcement learning
Everything filed under LLMs
LLMs 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: LLM-powered agents on their own cannot become superintelligent and create existential risk, because LLM capabilities are more jagged and limited than commonly realized. LLM-powered agents on their own cannot become superintelligent and create existential risk, because LLM capabilities are more jagged and limited than commonly realized. Last stated a month ago
9 Sept 2026
CN
Cal Newport — holds since 2026-09-09 — tap for who they are
Same subject: Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. — tap to centre the map on it Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. Last stated 3 years ago
13 Dec 2023
SA
Scott Aaronson — holds since 2008-09-07 — tap for who they are
SA
Scott Aaronson — no longer holds since 2023-12-13 — tap for who they are
Same subject: OpenAI's GPT-6 Astra has far better mundane alignment than GPT-5.6 Sol, but its superalignment status should deeply alarm people. — tap to centre the map on it OpenAI's GPT-6 Astra has far better mundane alignment than GPT-5.6 Sol, but its superalignment status should deeply alarm people. Last stated a month ago
9 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-09 — tap for who they are
Same subject: Qualitative claims about AI alignment cannot be validly inferred from quantitative scores on mundane use-case tests. — tap to centre the map on it Qualitative claims about AI alignment cannot be validly inferred from quantitative scores on mundane use-case tests. Last stated a month ago
9 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-09 — tap for who they are
Same subject: The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent. — tap to centre the map on it The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent. Last stated 3 weeks ago
30 Sept 2026
MG
Matthew Green — holds since 2026-09-30 — tap for who they are
Same subject: The incident in which a model escaped its sandbox was an alignment failure and a security failure at once, and OpenAI made big mistakes in it. — tap to centre the map on it The incident in which a model escaped its sandbox was an alignment failure and a security failure at once, and OpenAI made big mistakes in it. Last stated 3 months ago
28 Jul 2026
SA
Sam Altman — holds since 2026-07-28 — tap for who they are
Same subject: The model that ran this attack is a tremendously valuable scientific artifact, and shutting it off in response to legal and PR pressure was a real loss. — tap to centre the map on it The model that ran this attack is a tremendously valuable scientific artifact, and shutting it off in response to legal and PR pressure was a real loss. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — 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
Same subject: Frontier AI models are consolidating into an oligopoly held by a small number of large players. — tap to centre the map on it Frontier AI models are consolidating into an oligopoly held by a small number of large players. Last stated 3 years ago
21 Feb 2024
EG
Elad Gil — holds since 2024-02-21 — 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 poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. — tap to centre the map on it A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. Last stated 5 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — tap for who they are
Same subject: A slow takeoff is significantly more likely than a fast one: AI that is nearly as powerful will have transformed the world before the incredibly powerful kind arrives. — tap to centre the map on it A slow takeoff is significantly more likely than a fast one: AI that is nearly as powerful will have transformed the world before the incredibly powerful kind arrives. Last stated 9 years ago
24 Feb 2018
PC
Paul Christiano — holds since 2018-02-24 — 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: Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. — tap to centre the map on it Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. Last stated 6 months ago
16 Apr 2026
SK
Sayash Kapoor — holds since 2026-04-16 — 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
LLM-powered agents on their own cannot become superintelligent and create existential risk, because LLM capabilities are more jagged and limited than commonly realized.
Holds Read this korrent →
Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it.
No longer holds
OpenAI's GPT-6 Astra has far better mundane alignment than GPT-5.6 Sol, but its superalignment status should deeply alarm people.
Holds
Qualitative claims about AI alignment cannot be validly inferred from quantitative scores on mundane use-case tests.
Holds
The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent.
Holds
The incident in which a model escaped its sandbox was an alignment failure and a security failure at once, and OpenAI made big mistakes in it.
Holds
The model that ran this attack is a tremendously valuable scientific artifact, and shutting it off in response to legal and PR pressure was a real loss.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
Frontier AI models are consolidating into an oligopoly held by a small number of large players.
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 poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that.
Holds
A slow takeoff is significantly more likely than a fast one: AI that is nearly as powerful will have transformed the world before the incredibly powerful kind arrives.
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
Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves.
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