Thanks David,

Let me reach out to you by email.

> I'd like access to this. Unfortunately, Google Groups obscures the
> original email address, so I don't see how to email you directly. My
> address is [email protected].

Good point. To anybody else looking to contact me, my email is [email protected].

Best,

-stan

On Fri, Jul 3, 2020 at 1:08 AM David Starner <[email protected]> wrote:
>
> I'd like access to this. Unfortunately, Google Groups obscures the
> original email address, so I don't see how to email you directly. My
> address is [email protected].
>
> On Thu, Jul 2, 2020 at 1:26 AM 'Stanislas Polu' via Metamath
> <[email protected]> wrote:
> >
> > Hi!
> >
> > OpenAI has lately been exploring the use of deep learning for formal
> > maths in the context of Metamath. As part of this project, we’ve built
> > an online proof assistant to interact with our models and we’re
> > excited to share it with the Metamath community.
> >
> > Ideally, the proof assistant will help you be more productive building
> > your Metamath proofs while helping us improve our model’s accuracy at
> > the same time. But in any case, we hope you'll also just have fun
> > using it!
> >
> > This is a very early-stage release, so we’re limiting access to the
> > Metamath community for now to get an initial round of feedback.
> >
> > The spirit of the terms of use of the proof assistant is that:
> > (i) what is produced with the proof assistant can be shared back to
> > set.mm (under CC0 license).
> > (ii) we can use your usage of the proof assistant to improve our models.
> >
> > Here’s a short video demonstrating how it works:
> > https://vimeo.com/434053884/1e15e93ec6
> >
> > We also wrote a tutorial for the proof assistant (also serving as a
> > short introduction to Metamath for people without priori knowledge of
> > it): https://cdn.openai.com/openai_proof_assistant_tutorial.pdf
> >
> > The proof assistant is based on a fixed version of set.mm (currently
> > `fbf3931`). For anything but definitions, you can circumvent that
> > limitation by reproving missing lemmas and linking them from your
> > proofs as demonstrated in the tutorial.
> >
> > The set.mm version impacts the training of the model as well as the
> > underlying kernel. In the future we hope to allow custom set.mm files
> > to be loaded in the kernel even if the model won’t be trained on them
> > directly, as well as to retrain our models periodically. While this is
> > a limitation today, it also makes the proof assistant very simple to
> > get started with for beginners as well as anyone simply interested in
> > better understanding the capabilities of our models.
> >
> > The proof assistant is currently hosted at (subject to change):
> > https://mmproofassistant.azurewebsites.net/
> >
> > If you are interested in getting access, just send me an email and
> > I’ll happily get you all set-up.
> >
> > Looking forward to your proofs, comments and feedback!
> >
> > -stan
> >
> > --
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>
>
>
> --
> The standard is written in English . If you have trouble understanding
> a particular section, read it again and again and again . . . Sit up
> straight. Eat your vegetables. Do not mumble. -- _Pascal_, ISO 7185
> (1991)
>
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