Google DeepMind: The Podcast Gaming, Goats & General Intelligence with Frederic Besse
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Sep 25, 2024 
Frederic Besse, a Senior Staff Research Engineer at Google DeepMind, dives into the fascinating world of AI agents in gaming. He explains how games create ideal environments for training agents, teaching them autonomy and decision-making. The discussion spans the evolution of these agents, the integration of language models with robotics, and the exciting potential of achieving Artificial General Intelligence. Besse also shares insights on how diverse training can enhance AI adaptability across various tasks, both virtual and real-world.
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Defining Agents
- An agent is defined as any entity capable of acting within an environment.
- This environment provides observations and allows interaction, changing with each agent action.
Agency vs. Autonomy
- Agency is the ability to act, while autonomy is the ability to act independently to achieve a task.
- Agents exist on a spectrum of autonomy, from simple programmed actions to self-learning.
Language Models and Robotics
- Large language models, while knowledgeable, primarily produce text outputs.
- RT2 and RTX projects integrate language models with robotics, enabling them to control physical actions.