• transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.
• hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.

A frontier lab publicly staking research effort on post-Transformer architectures signals where a meaningful slice of AI research investment may shift next, relevant to anyone betting long-term on current-paradigm scaling.

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