(Still scrambled when accessed from the web. You can find my email at
the top of the tutorial[0])

-stan

[0] https://cdn.openai.com/openai_proof_assistant_tutorial.pdf

On Fri, Jul 3, 2020 at 8:16 AM Stanislas Polu <[email protected]> wrote:
>
> 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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> > > https://groups.google.com/d/msgid/metamath/CACZd_0y1UVbknTX2%3DrKgKE5GHpZ2d332h%3DkT8XspJ2%2B7EPyCcA%40mail.gmail.com.
> >
> >
> >
> > --
> > 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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