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Ep 66: Member of Technical Staff at Anthropic Sholto Douglas on Claude 4, Next Phase for AI Coding, and the Path to AI Coworkers

Unsupervised Learning

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Advancements in Reinforcement Learning

This chapter explores the rapid developments expected in reinforcement learning over the next year, with a focus on improving model capabilities and compute resource utilization. It discusses the evolving relationship between AI coding agents and human developers, emphasizing trust and reliability in task delegation. Additionally, the conversation highlights the competitive landscape among AI tools, the importance of alignment research, and the transformative potential of AI in software engineering.

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