Google DeepMind Senior Staff Research Scientist Nenad Tomašev discusses agentic AI in the public interest, the need for physical laboratory infrastructure to validate autonomous scientific discoveries, and addressing value lock-in and social norms in multi-agent systems. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.

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Timestamps:

(00:00) Introduction

(02:07) Agentic AI Infrastructure

(04:46) Developing Next Generation Experts

(09:54) AI Capability Gaps

(11:57) AI Value Alignment

(15:36) Bidirectional Alignment Problem

(21:43) Managing Agent Swarms

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AI Science Requires Physical Labs To Scale | Nenad Tomašev

MTS

AI Science Requires Physical Labs To Scale | Nenad Tomašev