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Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue

Latent Space: The AI Engineer Podcast

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Navigating AI's Complexities

This chapter dives into the philosophical and practical challenges of training AI models, touching on the development of a simulated environment, Avalon, for effective reinforcement learning. It emphasizes the need for enhanced reasoning capabilities and user trust in AI systems, alongside the evolution of software engineering practices. The discussion further explores the potential future of natural language interactions with computing interfaces and the historical context of AI advancements.

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