Or, more accurately: it's not possible to apply copyright to generated code; if you don't release it, it's a trade secret, but if you do, people can use it how they please.
A terminal AI coding assistant with a built-in math formalization engine — describe a problem in plain language and it converts it into a Lean 4 theorem and attempts a formal proof.
Interesting work. Is this a wrapper around the AUTOLEAN project (https://github.com/T3S1AMAX/autolean)?
the tricky bit is ensuring your inaccurate plain english statement is captured and formalized correctly as lean.
Interesting, but I don't see any licensing terms, which means I can't touch it in a commercial setting.
It's AI generated, so licensing terms are unenforceable.
Or, more accurately: it's not possible to apply copyright to generated code; if you don't release it, it's a trade secret, but if you do, people can use it how they please.
What commercial setting do you want to use a Lean theorem-proving agent in?
Mathematics, Inc [1], I assume
[1] http://www.cs.utexas.edu/users/EWD/ewd04xx/EWD427.PDF
A terminal AI coding assistant with a built-in math formalization engine — describe a problem in plain language and it converts it into a Lean 4 theorem and attempts a formal proof.
Could you provide a practical example?
There is one in the quickstart:
https://math-ai-org.github.io/mathcode/#quickstart - if you look very closely, the screenshot at the top actually shows the output (and the solution).
Maybe consider an integration with theoremdb.org?
To be clear, I am deep into auto-research, but hooking up slop to slop is just unlikely to produce anything valuable.
Value is in how maths is communicated: The process, frustrations, triumphs, etc.
We have to able to take generated formalizations from “it compiles” to “it is correct” before crystallizing them.