AI & ML impact 16

The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions

The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions arXiv:2604.22771v1 Announce Type: cross Abstract: Language models cannot be random. This paper introduces Entropic Deviation…

Why it matters

Look past the headline—the real story is how language intersects with ongoing randomness trends in the industry.

Read full article at arXiv AI →

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