Making Wolfram Tech Available as a Foundation Tool for LLM Systems

Wolfram's Foundation Tool supplements LLM foundation models with deep computation and precise knowledge. CAG (computation-augmented generation) underlies multiple access methods.

I like Mathematica and use it regularly. But I did not see any benefits of using it over python as a tool that Claude Code can use. Every script it produced in wolfram was slower with worse answers than python. Wolfram people are really trying but so far the results are not very good.
Back when I was using it, mathematica was unmatched in its ability to find integrals. Has python caught up there?

sympy is good enough for typical uses. the user interface is worse but that doesn't matter to Claude. I imagine if you have some really weird symbolic or numeric integrals, Mathematica may have some highly sophisticated algorithms where it would have an edge.

however, even this advantage is eaten away somewhat because the models themselves are decent at solving hard integrals.

I've always sort of assumed the models were just making sympy scripts behind the scenes.