> AI models we have now, the intelligence ... an emergent property Exception raised on several terms. «AI models»: they are built (roughly) on the "problem" (

> AI models we have now, the intelligence ... an emergent property Exception raised on several terms. «AI models»: they are built (roughly) on the "problem" (task) of "reply something relevant and convincing". Which satisfies the technical contextual definition of "intelligence" ("solving a problem") but not the intrinsic one ("say something through intelligence"). «emergent»: the specific "intelligence" was already there in the training data - it does not emerge but it is repeated. > to what extent is the growth in 2023-style AI capped by the availability of training data An intelligent entity does not need to read the whole of past intellectual production: there is no cap. Fed data is already overly plentiful. It does achieve "relevant and convincing", does not it? It is the jump to "reliable" (and beyond) that is missing.