Sundar Pichai

So I think we will provide tools and put it in the hands of artists for them to use and put out their work.

Those APIs, I mean, I almost think of that as infrastructure.

Just like when you provide electricity to people or something, you want them to use it and you're not thinking about the use cases on top of it.

It's a paintbrush. Yeah. And so I think that's how, obviously, there have to be some things and society needs to decide at a fundamental level what's okay, what's not. we'll be responsible with it. But I do think, you know, when it comes to artistic free expression, I think that's one of those values we should work hard to defend.

It's a paintbrush. Yeah. And so I think that's how, obviously, there have to be some things and society needs to decide at a fundamental level what's okay, what's not. we'll be responsible with it. But I do think, you know, when it comes to artistic free expression, I think that's one of those values we should work hard to defend.

It's a paintbrush. Yeah. And so I think that's how, obviously, there have to be some things and society needs to decide at a fundamental level what's okay, what's not. we'll be responsible with it. But I do think, you know, when it comes to artistic free expression, I think that's one of those values we should work hard to defend.

It's a paintbrush.

Yeah.

And so I think that's how, obviously, there have to be some things and society needs to decide at a fundamental level what's okay, what's not.

we'll be responsible with it.

But I do think, you know, when it comes to artistic free expression, I think that's one of those values we should work hard to defend.

I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff, right? And so I think in some ways, maybe a year ago, the models weren't fully there. So they would also do stupid things more often. And so you're trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds.

I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff, right? And so I think in some ways, maybe a year ago, the models weren't fully there. So they would also do stupid things more often. And so you're trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds.

I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff, right? And so I think in some ways, maybe a year ago, the models weren't fully there. So they would also do stupid things more often. And so you're trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds.

I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff, right?

And so I think in some ways, maybe a year ago, the models weren't fully there.

So they would also do stupid things more often.

And so, you know, you're trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds.

But I think with 2.5, what we particularly found is once the models cross a certain level of intelligence and sophistication, You know, they are able to reason through these nuanced issues pretty well. And I think users really want that, right? Like, you know, you want as much access to the raw model as possible, right?

But I think with 2.5, what we particularly found is once the models cross a certain level of intelligence and sophistication, You know, they are able to reason through these nuanced issues pretty well. And I think users really want that, right? Like, you know, you want as much access to the raw model as possible, right?