AI models have cognitive (non-formalizable) and denotative (formalizable) semantics. The former covers non-local, subatomic, and relativistic effects. These effects cannot be fully embraced using the denotative semantics created by logic or even deep neural networks. The cognitive and denotative semantics, which embrace logical, atomic- and universe-level elements, is the subject of AI models semantics architecture.