Grant Harvey

That's blowing my mind.

How would a computer use, this might be giving secret sauce away, but how would a computer use diffusion LLM work?

Like, is it generating the whole screen space?

Like what, how does that work?

But how is it, I guess what I was wondering is how is it seeing it?

How is it like see the, and that's, I guess it's maybe more so on the vision model.

That's really neat.

Just to clarify, is that a vision action model or is that a different type of model?

Okay.

Yeah.

Well, OpenAI had this paper not too long ago, right, that was saying that basically like hallucinations are a training problem, or at least that was their thesis, that, you know, the models are effectively being rewarded for guessing as opposed to saying when they don't know.

Do you buy into that?

Do you subscribe to that idea?

And if so, is that something that you could possibly, you know, work on to help reduce that even more?

In a sense, is it kind of a miracle that any of this works in the first place?

Absolutely.

I actually have a question related to this, which is a lot of our readers and viewers are trying to figure out how to implement these systems in their business, in their workflows, right?

As someone who builds and has worked with these types of models for years, how do you recommend that they...

I guess, close the loop in terms of implementing this and actually assess the quality when you're actually in production scale.

Do you have any tips or tricks there of how... Basically, what's your recommendation for how to assess whether they're working or not?