Grant Harvey

I'd have to think of some mechanics there.

Yeah, so image diffusion models work in an entirely different way than the next token predicting GPT models.

So we've invited Stefano today because he's taken that same technology and applied it to LLMs.

And it has the potential to transform how AI is used in all types of settings from agents to complex enterprise workflows.

Whoa.

That is so much cooler than the typewriter effect of the AI.

Yeah, that's awesome.

It's really cool, too, when you do this, like when you build a game in HTML5, like how quickly it can make you something like Pong or any kind of 2D game.

It's amazing.

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And how is it that they're actually reasoning over the original version that they create?

How do they know that the first version isn't good?

Are they kind of similar in size?

Should we be thinking about them the same way?

How do we compare them to a traditional language model?

It's kind of funny.

Basically, what you're talking about is instead of scaling the amount of GPUs widely, it's like, let's scale the amount of tokens that we're actually dealing with at a certain time.

And then you can do less on a GPU.

That's awesome.

So why wouldn't all the big labs like immediately switch to this?