We have heard so many debates about the future of #programminglanguages back at @Techweek_ and also many events were encouraging the usasge of #rust.
So here is our small contribution to your general knowledge about rust.
Disclaimer: not a coding adviceπ
Weβre releasing a broad range of new mathematical results produced by an internal frontier model.
Weβve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
https://t.co/7N6TPlft1P
Most proofs languages are also programming languages. The reason is you need ways to define functions to reason, and from there you can define programs. Rocq can compile to OCaml for example.
I think it is still better to separate proof and program languages though, as the design spaces are a bit different, and then you can optimize the two independently.
we see a big debate, all over X π₯ on what #theorems are used for #formalverification. so here we have prepared something small π for you to learn more πππ
we are delighted to see @bcherny's update & #formalverification (we're working so hard on building) getting momentum!!!
PS: to ensure #correctness of your AI generated code / agent & its logic, you will need more than #lean SDK & skilful use of @claudeai π
For Navier-Stokes and upcoming conjectures, this is leading to a lot of work to verify theorems provers and some people are worried the AI found a breach in them.
But the formalization was the last step of the process, so I believe the proofs are right.