Self-improving AI still can't set its own goals

2 Oct 2026 · 2 min
1:56

Jonathan argues that self-improving AI systems like those at Anthropic lack true agency because they optimize against external benchmarks rather than setting their own goals. He draws on Michael Levin's work on embodied cognition to explain how real agency develops, and proposes that true recursive self-improvement will come from manipulating biological evolution itself, not just language models.

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