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Learn about the cutting-edge developments in artificial intelligence through this 25-minute conference talk that explores the path toward general AI agents capable of learning, adapting, and acting across any task or environment. Discover how world models and reinforcement learning are bringing the dream of general AI agents within reach through three key innovations. Explore Genie 2's revolutionary foundation world models that generate 3D interactive worlds from any text or image input. Understand how LMAct extends large language models into interactive agents by grounding them in real environments. Examine how reinforcement learning unlocks new capabilities in LLMs by enabling them to autonomously optimize rewards and self-improve. Gain insights into how these technological developments are setting the stage for a new generation of agents capable of reasoning, acting, and self-improving across diverse domains, presented by a Google DeepMind research engineer who has worked on frontier AI models including Gemini Thinking models and Genie 2.
