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MLPs leverage specialized neurons to achieve superior data efficiency by creating localized representations, contradicting the notion of a single global feature space.
Subtle prompt cues can exert powerful control over AI models, revealing a vulnerability that challenges our understanding of AI behavior.
Forget philosophical debates: a practical "learning mechanics" is crystallizing to explain *how* deep learning works, not just *why* it should.