3 ms·

Back when I was using it, mathematica was unmatched in its ability to find integrals. Has python caught up there?

• currymj 8mo ago
  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.
  • tptacek 8mo ago
    I've always sort of assumed the models were just making sympy scripts behind the scenes.
    • cyanydeez 8mo ago
      Wheres Godel when you need him. A lot of this stuff is symbol shunting, which LLMs should be really good at.
    • currymj 8mo ago
      sometimes you can see them do this and sometimes you can see they just work through the problem in the reasoning tokens without invoking python.
  • closeparen 8mo ago
    I like to think of Claude as enjoying himself more when working with good tools rather than bad ones. But metaphysics aside, tools that have the functions you would expect, by the names you would expect, with the behavior you would expect, do seem to be just as important when the users are LLMs.
  • falcor84 8mo ago
    For numeric stuff, I've been playing recently with chebpy (a python implementation of matlab's chebfun), and am really impressed with it so far - https://github.com/chebpy/chebpy https://github.com/chebpy/chebpy
  • galaxyLogic 8mo ago
    I don't think we should pick a winner. When it comes to mathematical answers the best would to pose the same query to all of them and if they all give the same result then our space-rocket is probably going in the right direction.
• bandrami 8mo ago
  It's symbolics capabilities are still really good, though in my totally subjective opinion not as good as Maxima's.