Mohammad Norouzi

It's not about how good a model is in the general sense.

It's about how good is this model for my use case.

For a lot of design and marketing use cases, we need editable design, not a single flat image.

We really want our models to have taste.

Every artist, they can really customize this model to the nuances of their style, the texture of their canvas, and really get 2K output and hopefully make that part of their workflow.

Congratulations.

Thanks for having me.

What has happened is there has been a lot of progress in the industry, and we used to do everything.

Basically, we had our own first-party app as well as our own first-party API, and model development itself is a lot of work.

And we decided to focus a little more on the model side.

We think that's where a lot of potential exists.

We still want to continue to own the interaction with the users.

We think there is a lot of importance

Feedback we can get from the users directly, but then we want to focus more on building the model.

And by releasing the weights, we're actually extending ourselves and working with inference providers, working more directly with large enterprise.

They have

every ability to customize the models or host it on-prem or optimize it for device.

And we would love to work with the best chip makers to really optimize the model, the best inference providers.

So this is basically us saying, hey, we are very serious about building the foundation model and we would like to work with you wherever you are, whether you're an app developer or a chip maker or an inference provider.

So this is actually a foundation based on which we're going to