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The potential payoff, though, is astronomical: a world with Pixie in all places means a world where Google makes real money from promoting hardware, along with services for enterprises and schools, and cloud services that leverage Google’s infrastructure to provide the identical capabilities to businesses. So in some sense, one of the things that we do have is very, very excessive leverage of the one model that we used, which we educated, after which the one mannequin that we are doing inferencing at scale. However the factor is, we now have scale leverage of one giant model that was skilled and one massive model that’s being used for inference throughout all our first-get together SaaS apps, in addition to our API in our Azure AI service… That, for sure, is probably the one factor that actually scares Apple. The second question for Google is if they're even good at making products anymore; part of what makes Apple so remarkable is not solely that the corporate is built-in, but in addition that it maintained its standard for excellence for so long even because it continued to release groundbreaking new merchandise beyond the iPhone, just like the Apple Watch and AirPods. It does, although, get at the most important query of all: LLMs are already incredible, and there's years of labor to be accomplished to fully productize the capabilities that exist at this time; are even better LLMs, though, capable of disrupting not simply search but all of computing