Likes Google.

Transcript context

…Yeah, this was like 2000. Yeah, I remember in grad school, a friend of mine at the time had told me that his New Year's resolution for 2000 was to live to see the year 3000, and that he was going to achieve this by inventing AI. I was like, "Oh, that sounds like a good idea." I didn't get the idea at the time that you could go do it at a big company. But I figured, "Hey, a bunch of people seem to be making a ton of money at startups. Maybe I'll just make some money, and then I'll have enough to live on and just work on AI research for a long time." But yeah, it actually turned out that Google was a terrific place to work on AI. One of the things I like about Google is our ambition has always been sort of something that would require pretty advanced AI. Because I think organizing the world's information and making it universally accessible and useful, actually there is a really broad mandate in there. It's not like the company was going to do this one little thing and stay doing that. And also you could see that what we were doing initially was in that direction, but you could do so much more in that direction. How has Moore's Law over the last two or three decades changed the kinds of considerations you have to take on board when you design new systems, when you figure out what projects are feasible? What are still the limitations? What are things you can now do that you obviously couldn't do before?…

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