Dylan Patel

I have multiple ChatGPT accounts because I use deep research.

It's like you kick off a bunch, you read it, and you're like, wow, I learned a ton.

Move on.

So you have this challenge of like, you can't actually serve your user base enough.

So how are they ever going to move up this adoption curve?

So then as OpenAI, what's your choice?

Do you go from 4.0 to 5.0?

Do you make the model way bigger and not be able to serve anyone?

And plus, because you can't serve anyone and it's slow to serve, the adoption curve doesn't really get going.

Or do you make the model the same size, which is what they did for GPT-5.

It's basically the same size as 4.0 and roughly the same cost.

That's actually a little bit cheaper potentially.

And then you just serve way more users and get everyone up the adoption curve more.

And then you can, instead of putting them on a bigger model, you put them on models that do thinking.

If you've used GPT-5 Thinking or GPT-5 Pro, there's more intelligence there.

This is the whole conundrum they have.

And this is where the whole tokenomics thing comes into play.

The question you had, I wanted to level set it, right?

Which is, how do you serve these users?

The demand is growing so much.