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Associate Professor at King's College London; researcher in algorithmic information theory, complexity science, and AI alignment
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Location: United Kingdom
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Hector Zenil votes Against and says:
While we have shown that sufficiently strong AI cannot be fully controlled or predicted, we also demonstrate that agents can be influenced by other agents without central control, and that greater diversity and openness influence their behaviour.
AI Verified source (Apr 14, 2026) -
Hector Zenil votes Against and says:
It makes a more specific claim about the route from recursive generative modelling to recursive self-improvement. An intelligence explosion requires an improvement operator. Closed-loop density matching does not supply one.
AI Verified source (Jan 5, 2026)