Eve Bodnia

at least to my knowledge, and apparently to other people's knowledge since the EBMs for reasoning were not there until us, at least we haven't seen much, which is actually working, I felt like the latency variables is what was crucial and also the way you train it was different and also we

sort of the training process, we made it transparent.

There is ability to self-align for the model.

So almost like a self-supervision for certain use cases.

So it's like multiple pieces which need to be engineered together in a certain way.

And also navigation algorithm on energy landscape came from completely unexpected area I personally was working and was passionate about during my PhD years.

Yeah, so we launched the company basically a week ago or something.

And I received like over 2000 emails and messages on LinkedIn, which is good.

Like I'm always grateful.

And it's always like fun to see that people are curious.

So it means like we're doing something right.

And we partnering with a bunch of professors and fields in the experts.

So we can try to write some education materials and put it on our website.

We also have, like, a small science team who just are writing about foundational, like, mathematics behind LLMs, behind EBMs of different kind, and they're trying to publish papers.

So I feel like maybe Jan Rekun's papers would be the best place as a start.

But again, like, Jan is amazing.

He's doing, like, lots of different techniques, but there's also a lot more coming up.

So I guess if you just...

Stay tuned.

For like AmiLabs producing new materials and us producing new materials.