AI model architectures are only enablers without the surrounding data flywheel
Dmitri Dolgov · No Priors Ep. 87 | With Co-CEO of Waymo Dmitri Dolgov · Oct 24, 2024 · at 10:08
Waymo Co-CEO Dmitri Dolgov explains to Elad Gil what technical components and AI infrastructure enabled Waymo's self-driving breakthrough.
“The architecture is an enabler, but really to make it work at the level that we care about, you need like everything around it. The data engine, the whole, you know, flywheel of, you know, training the system, evaluating it. And you kind of have to think about the problem of evaluating the driver in tandem of building it, right? And you know, you need the simulator, you need the data. So all of those coming together, I think is what leads to you know, the breakthrough and discontinuity that you're seeing with where we are today.”
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