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Structural generalization is mathematically unattainable for pure Transformers, revealing a critical limitation in their learning capabilities compared to neuro-symbolic systems.
Syntactic processing can spontaneously emerge from local interactions, revealing a novel representation that aligns with grammatical structures and defies conventional training paradigms.
