Then, down the road, each AI might have a preferred/default language, technology and framework. Quite possibly newly created. This has a parallel to intermediate representations (the earliest of which I'm aware of is p-code in UCSD Pascal). But it is also analogous to compiling C to assembler, and then machine code. Similarly with Java. Wolfram is correct when he talks about needing it to be a representation that the creator can inspect and verify. Not necessarily the least bit easy with a complex project. It will be an engineering journey, but it does spark in me the hope that English (or anyone's native language) becomes the high level language of choice for guiding machines in tasks. Mathematica? Humph. Stephen Wolfram is very pleased with things he's thought of or perhaps synthesized, but I'm gonna say, I think Mathematica is not the generic solution we will want.