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In this conversation, Eric and John delve into the critical role of context in AI, particularly focusing on the concept of the 'minimum viable context' and its implications for AI agents. They discuss the challenges of managing context windows, the importance of decision traces and policies, and the need for trust in AI systems. The dialogue emphasizes the necessity of human oversight and the evolving nature of knowledge management in the context of AI.
By Eric Broda and John MillerIn this conversation, Eric and John delve into the critical role of context in AI, particularly focusing on the concept of the 'minimum viable context' and its implications for AI agents. They discuss the challenges of managing context windows, the importance of decision traces and policies, and the need for trust in AI systems. The dialogue emphasizes the necessity of human oversight and the evolving nature of knowledge management in the context of AI.