Emotional AI Keeps Failing, and the Problem Isn't Intelligence
A researcher argues that emotional AI systems break down not because models lack capability, but because memory, tone, and context are fragmented across architectural layers.
@omarsar0 offered a concise but pointed observation: "Emotional AI doesn't fail because models aren't smart enough. It fails when memory, tone, and context live in different layers." The insight cuts against the prevailing assumption that scaling alone will solve empathy and emotional understanding in AI systems.
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