Nick Turley

Where in many cases, what you want back is an artifact.

Here's your plan for your trip.

Here is the analysis.

Here is an outcome that I delivered for you.

I just made you...

five bucks like this is what i want my ai doing for me right yeah totally i mean this is what people care about right and and and and i think chat will always be there as the way that you sort of disambiguate your intent and you kick off the task yeah but i don't think it's necessarily the the the final deliverable and i think that's that's that's the way in which we can evolve so hopefully that's a very graceful transition because i'm very lucky and it's hard earned

to have a billion people coming to you weekly for a thing that they love.

But I think it's a great jumping off point because we have so much unsatisfied intent from people where they're clearly trying to do something and ChatGPD is helpful enough, but it could be so much more helpful.

And I think that's where we evolve.

Yeah.

We do.

We have, like, really awesome, you know, classifiers that run automatically.

It's fully privacy-preserving, but it gives us a sense of, you know, what use cases people have.

And it's important, right, because when you make a new model, when you make a model update, you want to know what use cases just got better and what use cases got worse.

And that's not always trivial to figure out unless you have really good analytics on the system.

But so much of my learning is actually qualitative, where I will just have a habit of reaching out to a fairly random set of users to just figure out what they're doing.

And I've never worked on a product where three and a half years later you're still learning every time.

Because usually by that time you know what the use cases are that your product can deliver on.

But our tech is so...

unusual in the fact that I keep learning about something crazy I didn't know was possible.