turing-completeness-31fe3452·1 events·first seen Aliases: Turing completeness
This paper critiques the widespread practice of ascribing anthropomorphic attributes (e.g., morality, language understanding) to LLMs, arguing that such conclusions are empirically non-unique. The authors demonstrate this by training a neural network on Age of Empires II and showing that similar attribute-ascription logic could apply to arbitrary substrates like LEGO or urban infrastructure. They propose a 'null assumption' of LLM non-uniqueness as a methodological baseline for experiments, and prove that Age of Empires II is functionally- and Turing-complete as a supporting argument.