17 connected korrents · 15 moments from 14 Dec 2020 to 30 Sept 2026.
At the centre
Strong liability enforcement could help the AI debate by holding people liable for rogue agent swarms, jailbroken weakly protected models, and weakly protected OSS models they serve.
Last stated 13 Sept 2026 · 2 months ago
Holds
Naval Ravikant
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Similar wording
A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself.
Last stated 1 Sept 2026 · 2 months ago
Holds
Ajeya Cotra
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Similar wording
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 30 Sept 2026 · 4 weeks ago
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Matthew Green
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Similar wording
Delegating operational tasks to an AI agent does not introduce a fundamentally new category of risk, since the agent should be bound by the same constraints as existing production systems.
Last stated 27 Apr 2026 · 6 months ago
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Jon Seager
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Similar wording
Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.
Last stated 24 Jun 2023 · 3 years ago
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Yoshua Bengio
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Similar wording
Guarding a sandboxed AI model with a weaker monitoring model leaves the alignment problem unsolved, because the guard model still has to be trusted.
Last stated 30 Sept 2026 · 4 weeks ago
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Matthew Green
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Similar wording
AI companies should be liable for what their agents do, and policymaking should make that clear.
Last stated 14 Sept 2026 · 2 months ago
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Sayash Kapoor
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Similar wording
Truly self-sovereign AI agents, running on compute no human owner can switch off, are inevitable rather than merely possible.
Last stated 1 Sept 2026 · 2 months ago
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Dean W. Ball
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Similar wording
Identifying a harm in an AI system does not show that the system should not be deployed.
Last stated 14 Dec 2020 · 6 years ago
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Amanda Askell
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Same subject: open source
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Last stated 26 Sept 2024 · 2 years ago
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Matt Mullenweg
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Same subject: open source
A codec does not really exist until everyone can decode it.
Last stated 31 May 2026 · 5 months ago
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Jean-Baptiste Kempf
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Same subject: open source
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Last stated 26 Sept 2024 · 2 years ago
Holds
Matt Mullenweg
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Same subject: LLMs
An open-weight model is already all anyone needs; it is as good as the frontier models.
Last stated 26 Aug 2026 · 2 months ago
No longer holds
David Heinemeier Hansson
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Same subject: LLMs
By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group.
Last stated 19 Aug 2026 · 2 months ago
Holds
Derek Thompson
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Same subject: LLMs
Chinese AI companies are the clear leaders in open-weight models.
Last stated 21 Sept 2026 · a month ago
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Nathan Lambert
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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
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Alex Imas
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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
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Gary Marcus
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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