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AI Safety Needs More Than Machine Learning | Adam Gleave (FAR.AI) and Emre Yavuz (CBAI)

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AI Safety Needs More Than Machine Learning | Adam Gleave (FAR.AI) and Emre Yavuz (CBAI)

Why it matters

Adam Gleave argues that AI safety requires both deploying safeguards the field already has and researching risks that remain uncertain. The description cites reward-hackable training environments, unmonitored agents, and sandbox failures, then points to formally verified sandboxes and expertise beyond machine learning as parts of the response.

Discuss: For AI safety, how should researchers balance deploying safeguards such as monitoring and sandboxing against pursuing new research on risks that remain uncertain?

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Watch: https://www.youtube.com/watch?v=XxfGWNa2vCo

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