Mohammad Norouzi

So we think customization can give you a lot more powerful adherence to your characters and allows for an easier iteration and ideation.

So I agree with you.

I don't think they're mutually exclusive, but they're both very powerful.

On your earlier point, I want to say something, which is,

We seem to compare image generation with language models a lot.

And for example, in the language model space, even though customization exists, it's not that like every company customizes their language models.

But I think that actually misses a point.

When you look at

Visual representation of a brand, you immediately recognize the differences between brands.

But if you look at the written communication, can you say, oh, is this Andreessen Horowitz or is this Sequoia?

I mean, you probably can tell.

i get the point but most people will not be able to immediately look at the text that's true and then say so there is a lot more diversity in the visual world and that's very exciting for customization and there are a lot of unique ways of interacting with the models that kind of goes back to your earlier question a lot of 3d manipulation so for that kind of use case the input will be some

3D representation of the joints or position of the objects, then you may have a completely different, you know, stylistic variation with the style being the input.

So there are a lot of different types of interactions that you want to enable.

And for that reason, it's much different from the language space where the input is always text and like you can kind of more or less convert everything to text.

We're so excited about agents.

We have our own MCP.

We use them a lot internally.

What's really exciting is when you want to release a new feature, you can go into your agents and then add

ask it to connect to the API and generate a bunch of images, and then you can go and find the best ones.