Eve Bodnia

But if there is a regime when LLM dominating, you still need the GPUs.

So it's

The short answer here, it's probably going to depend on the use case.

If you're working with a use case when you have to process a lot of language in real time, so most likely there's going to be a portion when the LLM is going to be dominating if you're using the hybrid of the EBMs.

But we don't know until we like actually test test, but

When I saw this phase transition, and phase transition is a very standard term in physics, you typically see it in condensed matter, and there's beautiful mathematics behind of these models, and that was a part of my PhD studies.

And when I saw it, it blew my mind.

It's crazy that it happens.

When I was studying, so okay, full disclosure, nobody knows how the brain works.

There are theories out there.

There are theories, there are hypotheses.

And what makes you a good theory is if you take a model, you're trying to map it in real data.

And you see what you actually see in real life, but you also can make a little bit of prediction and then prediction to some degree comes true.

So that's what makes it a good model.

And there are good models for how the visual cortex, for example, performs in humans and animals.

And some of it is adopted to AI, especially for the image recognition.

So there are techniques for using the energy-based principles.

But is this the model to describe the brain?

Nobody knows.

But again, it's a very open scientific question.