This paper investigates how frontier AI models respond to prompts asking them to design their own architectures, finding that they tend to converge on a shared pattern of persistent latent state and adaptive computation. Practitioners might care because this suggests that AI models are capable of independent imagination and potentially sharing design principles.
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