muds
10 hours ago
Interesting work. Is this a wrapper around the AUTOLEAN project (https://github.com/T3S1AMAX/autolean)?
10 hours ago
Interesting work. Is this a wrapper around the AUTOLEAN project (https://github.com/T3S1AMAX/autolean)?
10 hours ago
the tricky bit is ensuring your inaccurate plain english statement is captured and formalized correctly as lean.
6 hours ago
I’ve written a lot of Lean for economic modeling (so take this with the caveat that it’s not frontier-level mathematics research) but I think this problem is overstated. If you follow good engineering standards—keep primitives composable and design abstraction well—it’s not so hard to understand enough Lean to ensure the formalized statement is correct.
In part this is possible because mathlib is very well-designed and has a very good API (in no small part because they’re willing to make breaking changes all the time), so building on top of it makes life much easier.
5 hours ago
What kind of economic modelling uses Lean?
4 hours ago
do you have examples . i am fascinated by this
an hour ago
My, what a creative name
12 hours ago
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.
11 hours ago
Could you provide a practical example?
11 hours ago
There is one in the quickstart:
mathcode -p "prove that the square of an even number is even"
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).4 hours ago
so ' a problem' here is just preexisting math theorems ?
10 hours ago
Interesting, but I don't see any licensing terms, which means I can't touch it in a commercial setting.
8 hours ago
What commercial setting do you want to use a Lean theorem-proving agent in?
6 hours ago
Mathematics, Inc [1], I assume
9 hours ago
It's AI generated, so licensing terms are unenforceable.
6 hours ago
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.
an hour ago
Is this effectivly mit or no license?
9 hours ago
Maybe consider an integration with theoremdb.org?
8 hours ago
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.
6 hours ago
> hooking up slop to slop is just unlikely to produce anything valuable
Do you have a formal proof of that?
4 hours ago
Premises: Garbage in implies garbage out (first principle of computer science) The input is possibly, but not necessarily garbage (definition of slop)
By the standard methods of modal logic, it follows that it is possible that the output is garbage and therefore slop by definition. QED.
3 hours ago
I am not sure of the premise. You can have a filter which takes garbage in and outputs the clean data from the garbage, a denoiser. Also your definition of slop is not specific to slop. Any input can be garbage, including this human sourced and thought comment.
3 hours ago
Nevertheless, the proof is valid and easy to certify
4 hours ago
sounds like an awesome project.
wish these project always start with an example. i dont care about quickstart or featurelist if i dont know what this is.