Noam Shazeer

But I think what we kind of didn't quite appreciate was how useful they could be for

things you wouldn't ask a search engine, right?

Like help me write a note to my veterinarian or like, oh, can you take this text and give me a quick summary of it or whatever.

And I think that's the kind of thing we've seen people really flock to in terms of using chatbots as amazing new capabilities rather than as a pure search engine.

And so I think we took our time and got to the point where we actually released quite kickable chatbots and have been improving them through Gemini models quite a bit.

And I think that's actually not a bad path to have taken.

Would we like to have released a chatbot earlier, maybe?

But I think we have a pretty awesome chatbot with awesome Gemini models that are getting better all the time, and that's pretty cool.

Yeah, I mean, I think one thing that I like to do is to find out about a new and interesting area.

And one of the best ways to do that is to pay attention to what's going on

Talk to colleagues, like pay attention to research papers that are being published.

Look at the kind of research landscape as it's evolving.

You know, be willing to say, oh, you know, chip design.

I wonder if we could use reinforcement learning for some aspect of that and be able to dive into a new area.

Work with people who know a lot about a different domain or AI for healthcare is something I've done a bit of work on here.

working with clinicians about what are the real problems, how could AI help?

It wouldn't be that useful for this thing, but it would be super useful for this.

Getting those insights and often working with a set of five or six colleagues who have different expertise than you do.

enables you to collectively do something that none of you could do individually.

And then some of their expertise rubs off on you and some of your expertise rubs off on them.