Nick Turley

people come back to the product.

But there's lots more to do.

And as I mentioned, I'm not resting on our retention stats, even though we're obviously very proud.

We've got about 10% of the world coming to us now, 90% left to go, right?

There's so much more opportunity to reach more people and introduce them to the way that AI can benefit them, right?

But when I look backwards, and I only say that because the next billion users might be very different in terms of how you engage and reach and provide value.

But when I look back, it's been roughly a sort of

one third, one third, one third between sort of classic friction removal type of work, like one of the biggest,

moments when you look at pure impact was removing the authentication wall.

And Sam will say, I told you so, because I think that was his feedback from day one.

I was like, you shouldn't have to log into these chats, BT.

But it's stuff like that that you do for any product, and it does matter.

Some things never change, right?

But then another third or so is what I would sort of

core product investments and they're really typically things that we've done together between research and product so search and personalization are really good examples of that where we came together and we figured out not just ui ux evolution but also how to post train these changes into the model and it was really the moments when we came together um another recent example is like we have these writing blocks that render when you you know ask about queries um where your um

trying to write with the model.

And putting really good craft into those experiences really matters, and our users love it.

And then another third of the growth has been just model improvements.

Both step changes, like going from GPT-3.5 back then to GPT-4, then going from GPT-4 behind a paywall to 4.0, suddenly available to everyone.

But a lot of it is also the iteration that isn't splashy, that doesn't warrant a named release.