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21min chapter
Demis Hassabis - Scaling, Superhuman AIs, AlphaZero atop LLMs, Rogue Nations Threat
Dwarkesh Podcast
Synthetic Data Generation and Reinforcement Learning
Exploring the use of reinforcement learning (RL) to create synthetic data, the chapter discusses strategies like simulation and self-play to enhance AI models. The conversation covers the history and potential of AI advancements, including scaling techniques and the possibility of achieving AGI through RL approaches. It also delves into challenges like grounding in AI systems, controllability, and safety considerations for future AI development.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode