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Zico Kolter (Chief Scientist, Gray Swan AI / Latent Space) claims that there are…

Brief

Zico Kolter of Gray Swan AI (Latent Space) warns that cutting-edge models can still be susceptible to failures humans wouldn’t make, and that coupling models with tool-using agents raises stakes by turning simple model errors into costly, real-world actions. The note links to a podcast episode for more detail.

Why it matters

Zico Kolter (Chief Scientist, Gray Swan AI / Latent Space) claims that there are scenarios a human would never be fooled by but a state-of-the-art frontier model still will be.

Key details

  • The post warns that tool-using agents amplify consequences: making obvious bugs expensive because agents can act on incorrect outputs.
Source evidence

"There are scenarios a human would never fall for that a state-of-the-art frontier model will still fall for."
— Zico Kolter, Chief Scientist, Gray Swan AI (Latent Space)
Tool-using agents make obvious bugs expensive.
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Link

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