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Building Memory for AI Characters That Actually Evolve
What makes an AI character feel real across hundreds of episodes? Corn and Herman dig into the technical and philosophical gap between character definition and character history. They explore how retrieval-augmented generation applied to episodic memory could let AI hosts accumulate genuine experience, evolve their positions, and develop real relationships—and why human memory might actually be less reliable than a well-designed AI memory system. It's a meta conversation about continuity, growth, and what it takes for an AI to feel like someone rather than something. Episode 2208 —…
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