SOURCE-LINKED INTELLIGENCE
A Formal Limitation on Learning Human Language From Textual Corpora
Can a listener recover what a speaker means from the form of an utterance alone? We answer this question information-theoretically, and for a listener given by any featurizer of text, including the hidden states of contemporary large language models. Modeling language use as a joint distribution over meanings, contexts, and utterances, we derive upper bounds on the probability that a decoder recovers a speaker's intended meaning from a representation of the utterance. The bounds are governed by the uncertainty that form leaves about meaning, which splits into an irreducible part and a part tha
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T17:38:24.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.