Bret Taylor

And I always go back to the early app store days and the early apps being such skeuomorphic apps like flashlights. And then you have the mobile native experiences like WhatsApp, DoorDash, Uber, Instacart. It took one generation for those things to really exist. I have a sense that it will take a little while to see agent-native consumer experiences and agent-native devices.

And I always go back to the early app store days and the early apps being such skeuomorphic apps like flashlights. And then you have the mobile native experiences like WhatsApp, DoorDash, Uber, Instacart. It took one generation for those things to really exist. I have a sense that it will take a little while to see agent-native consumer experiences and agent-native devices.

And I always go back to the early app store days and the early apps being such skeuomorphic apps like flashlights. And then you have the mobile native experiences like WhatsApp, DoorDash, Uber, Instacart. It took one generation for those things to really exist. I have a sense that it will take a little while to see agent-native consumer experiences and agent-native devices.

And the hard part about particularly consumer electronics is you kind of need the consumer experiences to lead a little bit to have the market available. So it might take a while, but it certainly seems in the cards now in ways it wasn't before.

And the hard part about particularly consumer electronics is you kind of need the consumer experiences to lead a little bit to have the market available. So it might take a while, but it certainly seems in the cards now in ways it wasn't before.

And the hard part about particularly consumer electronics is you kind of need the consumer experiences to lead a little bit to have the market available. So it might take a while, but it certainly seems in the cards now in ways it wasn't before.

I think WhatsApp is very well situated. If you look at the usage of WhatsApp in places like Brazil and India, approximating this already, but I think, you know, large language models and agents like the ones we built at CIRA open the door to sort of much more full featured experiences. But I also think the same is true as most mobile platforms.

I think WhatsApp is very well situated. If you look at the usage of WhatsApp in places like Brazil and India, approximating this already, but I think, you know, large language models and agents like the ones we built at CIRA open the door to sort of much more full featured experiences. But I also think the same is true as most mobile platforms.

I think WhatsApp is very well situated. If you look at the usage of WhatsApp in places like Brazil and India, approximating this already, but I think, you know, large language models and agents like the ones we built at CIRA open the door to sort of much more full featured experiences. But I also think the same is true as most mobile platforms.

You know, I think that, you know, when you install an app on this, it's probably going to be an app and an agent in the future. Like when we work with our customers, you know, we want to enable them take their AI agent and whatever form factor becomes a dominant consumer experience, you should be able to install your agent in that experience.

You know, I think that, you know, when you install an app on this, it's probably going to be an app and an agent in the future. Like when we work with our customers, you know, we want to enable them take their AI agent and whatever form factor becomes a dominant consumer experience, you should be able to install your agent in that experience.

You know, I think that, you know, when you install an app on this, it's probably going to be an app and an agent in the future. Like when we work with our customers, you know, we want to enable them take their AI agent and whatever form factor becomes a dominant consumer experience, you should be able to install your agent in that experience.

I'll describe a technology problem, and then I'll describe the human problem that was harder than I expected around it. So generative AI is very creative, but inherently non-deterministic. It's very hard to create determinism, the same inputs creating the same outputs, in particular because if you think about the breadth of human language, it's just inherently less precise than most.

I'll describe a technology problem, and then I'll describe the human problem that was harder than I expected around it. So generative AI is very creative, but inherently non-deterministic. It's very hard to create determinism, the same inputs creating the same outputs, in particular because if you think about the breadth of human language, it's just inherently less precise than most.

I'll describe a technology problem, and then I'll describe the human problem that was harder than I expected around it. So generative AI is very creative, but inherently non-deterministic. It's very hard to create determinism, the same inputs creating the same outputs, in particular because if you think about the breadth of human language, it's just inherently less precise than most.

And then similarly, if you afford AI the ability to reason, you know, sort of by definition, you can't enumerate all the possible outcomes from there. So when you're building industrial grade agents, you know, for businesses that have real business rules they need to follow, we like to say software is going from the age of rules to the age of goals and guardrails.

And then similarly, if you afford AI the ability to reason, you know, sort of by definition, you can't enumerate all the possible outcomes from there. So when you're building industrial grade agents, you know, for businesses that have real business rules they need to follow, we like to say software is going from the age of rules to the age of goals and guardrails.

And then similarly, if you afford AI the ability to reason, you know, sort of by definition, you can't enumerate all the possible outcomes from there. So when you're building industrial grade agents, you know, for businesses that have real business rules they need to follow, we like to say software is going from the age of rules to the age of goals and guardrails.

And the hard challenge there is how do you enable businesses to express their goals and guardrails effectively?

And the hard challenge there is how do you enable businesses to express their goals and guardrails effectively?