A short interview-style YouTube video (hosted by Matt Wolfe) exploring why the convergence of XR and AI matters. The guest argues AI is foundational to XR (hand/eye tracking, voice control, rendering, world scanning) and that XR enables AI by providing synthetic training data (e.g., virtual driving simulations producing "billions of miles" of training scenarios).
Why is the sort of convergence of these two tools such a big deal?
I mean, first of all, pretty much everything that happens in xr, it wouldn't be possible without AI. Everything from hand tracking, eye tracking, voice control, real time rendering, world scanning, all of that is AI, right? So AI is actually enabling XR to be even possible. Now, if you take the other way, what is XR doing for AI? So, a few areas. One is in terms of synthetic training data, you look at what Tesla is doing, they're actually doing more training with virtual models inside AI in different situations than they are with physical. And they can learn faster. They can get billions of miles instead of millions of miles.
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