Jeff Dean: prediction

Transcript context

…What is the bottleneck to making this sort of system viable? Is it systems engineering? Is it ML? It's a pretty different way of operating than our current Gemini development. So, I think we will explore these kinds of areas and make some progress on them. But we need to really see evidence that it's the right way, that it has a lot of benefits. Some of those benefits may be improved quality, some may be less concretely measurable, like this ability to have lots of parallel development of different modules. But that's still a pretty exciting improvement because I think that would enable us to make faster progress on improving the model's capabilities for lots of different distinct areas. Even the data control modularity stuff seems really cool because then you could have the piece of the model that's just trained for me. It knows all my private data.…

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