In this episode of The MAD Podcast, Matt Turck interviews Sholto Douglas, a leading AI researcher at Anthropic, about the release of Claude Sonnet 4.5, which is considered the best coding model. They discuss the rapid pace of AI releases, the differences between Anthropic's Opus, Sonnet, and Haiku models, and Sholto's journey to Anthropic. Sholto shares his insights on the compute super cycle, the importance of coding in AI research, and the potential for AI agents to work independently for extended periods. The conversation also covers the role of reinforcement learning, the concept of "taste" in AI research, and the potential for achieving Artificial General Intelligence (AGI) in the near future, as well as how to prepare for a world where AI increases individual leverage.
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