Sean Kelly

I mean, the one thing I'm also super excited about is the large world models.

Have you heard of that concept?

So like an MLM, you know, would be like a chat GPT or, you know, Claude or Gemini or whatever.

These are all large language models.

They're trained mostly on a text database and now they're multimodal.

So there's text and there's image and, you know, some have video now.

But now you have people working on what are called large world models.

Was that transition tough for you?

And so on day three of the conference on Wednesday, we have Fei-Fei Li speaking.

Fei-Fei became kind of famous for, in the AI industry at least, for creating the ImageNet conference, which kind of popularized deep learning.

I don't hear that often.

And then Jeff Hinton won her conference, who's speaking tomorrow.

But anyway, so she's always been super into computer vision.

She started a company called World Labs recently.

She raised like 230 million bucks or something.

And they're focused on building large world models.

So the concept is really just a foundation model for navigating the physical world.

Yeah, so right now, OpenAI has...

They're like GPT series of models, GPT-5 being the most recent that they released.

And then that's called a foundation model because a lot of other people can just tap into that API and build off of that foundation model without having to train their own model, which is super expensive and time consuming and hard, honestly.