17 connected korrents · 17 moments from 24 Oct 2017 to 15 Sept 2026.
At the centre
Society's response to AI is incommensurate with the possibility of rapid transformative progress that many experts expect, with safety research lagging and governance lacking mechanisms for misuse, recklessness and autonomy.
Last stated 26 Oct 2023 · 3 years ago
Holds
Yoshua Bengio
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Same subject: AI alignment
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Last stated 25 Nov 2025 · 11 months ago
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Ilya Sutskever
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Same subject: AI alignment
A model that looks smarter and better-behaved while getting better at hiding unwanted actions is the scary combination for AI safety.
Last stated 9 Sept 2026 · 2 months ago
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Zvi Mowshowitz
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Same subject: AI alignment
A player coach manages a smaller team while building together with it, rather than sitting in an ivory tower doing performance reviews and alignment meetings.
Last stated 9 Jun 2026 · 5 months ago
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Ron Goldin
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Same subject: AI alignment
A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough.
Last stated 24 Oct 2017 · 9 years ago
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Émile P. Torres
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Same subject: AI alignment
A validated theory of intelligence may be necessary for achieving genuine AI alignment.
Last stated 17 Aug 2026 · 3 months ago
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Kevin Kelly
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Same subject: AI alignment
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Last stated 10 Aug 2026 · 3 months ago
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Jack Clark
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Same subject: AI alignment
AI alignment is a red herring not worth the effort currently devoted to it.
Last stated 8 Aug 2026 · 3 months ago
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Matt Webb
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Same subject: AI alignment
AI alignment should be approached like governing a corporation through institutions, not like raising a virtuous individual.
Last stated 21 Aug 2026 · 2 months ago
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Rohit Krishnan
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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
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Chip Huyen
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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
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Dmitri Dolgov
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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
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Andrej Karpathy
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Same subject: reinforcement learning
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 16 Apr 2026 · 7 months ago
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Sayash Kapoor
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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
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Rohit Krishnan
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Same subject: AI agents
A company cannot be led by machines, because nobody would have recourse against them.
Last stated 15 Sept 2026 · 2 months ago
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Tobias Lütke
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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 · 3 months ago
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Peter Steinberger