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Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
The Future of AI
I think it's going to become more and more of a thing that like stuff that we realize now is important on the edge because of constraints, ends up being acknowledged as important at large scale. We've had the luxury so far with the stuff at the large end of looking at kind of thinking of the world just in terms of text or maybe a bit of mixture of text and images. But if you think about these large language models, they kind of are embodied in this disembodied world of the internet which is where their training data comes from. When we start talking about putting robots in the physical world, or even having server-side models reasoning about things that are happening in physical space,
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