OpenAI has no idea that texts contain not only contexts, but subtexts as well. That is, not only what is seen explicitly and can be read, but also what is meant implicitly! For example, all any text's words have dictionary definitions, they are tied to other texts' synonymous clusters (taking into account their timestamps). These implicit definitions and connections are also texts' part, although they cannot be seen or read.
The technology for subtext recovery exists, it is simple: computer needs to select for each word its uniue dictionary definition, which is in the context within before and after this word, in harmony with the rest of the text's dictionary definitions. The same should be done with links to synonymous clusters, finding those texts that are consonant with the given.
Not necessary to train date on terabytes of other date! Enough on several bytes of dictionary. This alone saves millions and billions of dollars, plus AI becomes intelligent, starts to understand and ceases to be a toy (mimicking Trump).