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Matthieu Queloz

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#artificial intelligence Preprint Sep 2026

A Polyphonic Conception of AI Understanding

When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statistical descriptions struggle to distinguish trustworthy from untrustworthy outputs without reintroducing the question of AI understanding in all but...

Matthieu Queloz, P. Beckmann · 0 citations
#artificial intelligence Preprint Sep 2026

World Modeling in Transformers

TaxiGPT, a transformer trained on random walks through Manhattan whose failures have been interpreted as evidence of an incoherent internal map, is demonstrated, through mechanistic analysis and causal interventions, that the model represents intersections and streets, tracks its position, and uses a goal compass to na...

P. Beckmann, Matthieu Queloz, André Freitas · 0 citations

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