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The author identifies four key bottlenecks for AI agent systems in real-world applications: physical constraints, adversarial pressure, institutional authority, and relational trust, and asks where others see agent workflows failing.
Demis Hassabis discusses the limitations of language models and argues that world models are needed to learn the hidden grammar of physical reality beyond text.