Transcript

Andrew, welcome to Google Cloud Next. How are you liking the show so far? What I think this is the biggest one I've been to. I've been to it for the last three years. I think there's more people than ever and a lot of energy. That's amazing. And what's been one of the biggest highlights for you at the show? Well, I think it's all starting to shift in how people are starting to use generative technology. So hyper science, we talk about driving accuracy, automation and I think 1/3 tensions coming into it, which is essentially affordability as inference is being. Used widely for more and more complex situations for reasoning. I think you have to be thoughtful about when you use inference and the cost of using that inference. And is that what you like to refer to as the inference inflection point? Because you talk a lot about that. It is. And I have an example in Las Vegas. So last night we're taking clients to dinner and we had two separate inferences. We had Google Maps and Apple Maps. One said 22 minute walk, one set an 8 minute walk. So what we have to do, we have to bring a bartender in the loop. We brought a bartender in the lupus of which is right. So look, we like to tease, but this is how layered inference is going to take place in the real world. You're going to use two independent inferences to come to a resolution. And that's how we get high accuracy. We're going to drive high automation and move from human in the loop to humans on the loop. I love that. Well, Andrew, have a wonderful Google Cloud next. And thank you so much for taking the time to talk, for asking, as always, bye.