were sort of on the fringes of engineering. But now we've really had a societal impact in a very profound way. It's very exciting to be part of this and being watching how it's unfolding. Where do we go from here? It's unclear to me, but I think some things that I think are pretty much imminent on the horizon in terms of AI are 3D world models. I think we are on the cusp of creating very hyper realistic potentially 3D world models. We can create very hyper realistic videos as of today. The possibilities are very profound of what we can do with those things. The only simulation that we could do so far was sort of in computer graphics. But a lot of the primitives in computer graphics were hand designed and heuristic. With AI, we can learn a lot more nuanced heuristics and motion and things like that. And then once we can model the 3D world and how actually things move in it really realistically, I think it opens up a lot of possibilities for automation in other streams beyond just like chat bots and LLMs. It opens up possibilities in robotics. It opens up possibilities in all other kinds of autonomous systems. That's what seems to be what is probably on the horizon next. And I think a lot of knowledge is more likely to be very much tokenized. It's already starting to be that we don't search web pages anymore. We just ask LLMs for an answer and they answer in tokens. I think a lot of the world knowledge is going to be compressed in AI models and tokenized in some sense. Yeah, that's my two cents on where we're going. Will we get over the token system to something more real than just predicting the next word? Yeah, that's a great question. And I mean, yeah, tokens are great, but they're still not the most efficient in terms of data storage and memory and so on. I think we will have to, eventually. And if we want to have longer context and longer memories, which is a fundamental limitation of the token architecture, the transform architecture, we will have to. And I think that combined with the reasoning work that's happening right now - you know, better memory and better reasoning - I think those are probably the ways to go towards the future. Don't you think that we are going to leave a few billions of people behind? 16 DAILY CVPR Women in Computer Vision Sunday
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