Bret Taylor

And I mean tension not in the personal way, but just actual intellectual tension, which is How much agency do we want to afford our AI? And making the guardrails more narrow makes the agent slightly less delightful, but making them more broad reduces control. And that's such an interesting discussion to have with brands.

This is the interesting thing about modern large language models and what I think the industry has come to call generative AI is I think it violates most of the rules we have in our head about computers. You know, computers are designed to be reliable. You click this button, the same thing happens every time you click it. They're designed to be databases.

This is the interesting thing about modern large language models and what I think the industry has come to call generative AI is I think it violates most of the rules we have in our head about computers. You know, computers are designed to be reliable. You click this button, the same thing happens every time you click it. They're designed to be databases.

This is the interesting thing about modern large language models and what I think the industry has come to call generative AI is I think it violates most of the rules we have in our head about computers. You know, computers are designed to be reliable. You click this button, the same thing happens every time you click it. They're designed to be databases.

They're not designed to be creative, right? They're designed to give you facts, follow the rules that we have really, really fast. And just think about software engineering, the craft of software engineering. There's entire methodologies now about how to get

They're not designed to be creative, right? They're designed to give you facts, follow the rules that we have really, really fast. And just think about software engineering, the craft of software engineering. There's entire methodologies now about how to get

They're not designed to be creative, right? They're designed to give you facts, follow the rules that we have really, really fast. And just think about software engineering, the craft of software engineering. There's entire methodologies now about how to get

increasingly reliable software, which involves using source control like GitHub and using immutable binaries so that you can roll back and have the same behavior you had yesterday if something goes wrong. We've essentially spent decades trying to make things deterministic, repeatable, reliable.

increasingly reliable software, which involves using source control like GitHub and using immutable binaries so that you can roll back and have the same behavior you had yesterday if something goes wrong. We've essentially spent decades trying to make things deterministic, repeatable, reliable.

increasingly reliable software, which involves using source control like GitHub and using immutable binaries so that you can roll back and have the same behavior you had yesterday if something goes wrong. We've essentially spent decades trying to make things deterministic, repeatable, reliable.

And now you make this new piece of software that is slow, somewhat expensive, extremely creative, and fairly non-deterministic. You're like, blows people's minds. And I think that as a consequence, people are modeling AI through the lens of how do we make it as deterministic as software was two years ago? I'm not sure that's the right model.

And now you make this new piece of software that is slow, somewhat expensive, extremely creative, and fairly non-deterministic. You're like, blows people's minds. And I think that as a consequence, people are modeling AI through the lens of how do we make it as deterministic as software was two years ago? I'm not sure that's the right model.

And now you make this new piece of software that is slow, somewhat expensive, extremely creative, and fairly non-deterministic. You're like, blows people's minds. And I think that as a consequence, people are modeling AI through the lens of how do we make it as deterministic as software was two years ago? I'm not sure that's the right model.

I actually think the thought exercise you did is, okay, let's assume that our salespeople or our call center agents occasionally go off script. How do we deal with that? there probably are operational mechanisms at your company to deal with those situations. Okay, why don't you just use the same mechanisms to deal with the AI as well?

I actually think the thought exercise you did is, okay, let's assume that our salespeople or our call center agents occasionally go off script. How do we deal with that? there probably are operational mechanisms at your company to deal with those situations. Okay, why don't you just use the same mechanisms to deal with the AI as well?

I actually think the thought exercise you did is, okay, let's assume that our salespeople or our call center agents occasionally go off script. How do we deal with that? there probably are operational mechanisms at your company to deal with those situations. Okay, why don't you just use the same mechanisms to deal with the AI as well?

And actually thinking of stop putting AI software in the bucket of computers and that rule set and how you deal with it to try to get to five nines of repeatability. and say, okay, this is actually going to be a really creative, really impactful, much lower cost solution. It will do some things that are incorrect some of the time.

And actually thinking of stop putting AI software in the bucket of computers and that rule set and how you deal with it to try to get to five nines of repeatability. and say, okay, this is actually going to be a really creative, really impactful, much lower cost solution. It will do some things that are incorrect some of the time.

And actually thinking of stop putting AI software in the bucket of computers and that rule set and how you deal with it to try to get to five nines of repeatability. and say, okay, this is actually going to be a really creative, really impactful, much lower cost solution. It will do some things that are incorrect some of the time.

How do we deal with that eventuality rather than try to fully prevent it, which right now is almost impossible.