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A Zhihu contributor's half-year-old prediction that the next Transformer would absorb loops, recurrent state, sparse routing, and latent reasoning is gaining relevance as Loop Engineering advances. The article explores how future Transformer architectures may evolve into hybrid models blending linear-complexity layers for background context with attention for precise reasoning, plus finer-grained sparsity and native System 2 reasoning.