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Autoregressive Transformers Not Turing-Complete with Fixed Settings

Are autoregressive transformers really Turing-complete? Not so fast. Researchers from Renmin University of China show that most proofs of Turing-completeness rely on scaling model size or context length, but real-world LLMs operate with fixed settings. Their key insight:

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