Eve Bodnia

Evolution has a very well-defined task, like, hey, we're living beings, we want to survive.

For different AIs, there's going to be some forms of it that's going to try to minimize the resources it's using, time for computing the things.

And also, if you give a task, if you are an AI-driven self-driving car, you want to reach your final destination, and you don't want it...

randomly dropping you off in the forest just because like, oh, next word is going to be here.

Sorry, we're going to go a different way.

Yeah, yeah, yeah.

It's like, this is why we're focusing on

building the models for specifically this kind of situations because, you know, the world is going to have AI everywhere.

Like five years from now, AI is going to be everywhere and we just want to make sure that we as people are safe in this AI-driven world and whatever AI we put in our system, it helps us and it actually does what it's meant to be doing.

so back to your point on hallucinations like your brain hallucinates naturally so is mine like all of us we're not precise machines this is why if you want to build a house or like a bridge you go to engineering school right you like you're learning the formal methods to help to to narrow your thinking and have some measures to check it so this ci is the same way like naturally it's

It's not precise, but there are ways to make it self-aligned and there are ways to make it formally precise.

Yeah, so because it's token-free model and your input data already mapped in your energy landscape,

You can, as an engineer or as a human, you can set up where the constraints are during your training.

So you're still going to train it a little bit, right?

You're going to show it some complete dataset with the answers, or you can show it some sparse data with the answers.

And there, what it's going to tell you internally is going to map the shape of this energy landscape.

So the highest point on this energy landscape is going to be less probable scenarios, and the lowest is going to be highly probable scenarios.

And this is very much matching sort of this theoretical physics modeling when we always want to minimize the energy.

So typically, if you're good at theoretical physics, you're going to write the Lagrangian, which is going to reflect your kinetic and potential energy in your system.

And you're going to minimize this Lagrangian and derive equations of motion.