Harry Stebbings

But I was watching this interview, speaking of inference, with someone I think from base 10.

And they were saying that the demand for inference has grown not linearly, but combinatorially.

And that is how we would see it progress over the next three to five years.

Do you agree with that?

Perfect competitions for these?

Will a VC subsidization of 50, 60, 70, whatever companies it is, not make it impossible for the good companies, the four or five, to progress through that cycle?

What will determine the four or five inference companies that win versus the others that don't?

It's that simple.

One of your former partners tweeted last night that we're going to enter a time where only model creators access the most powerful models.

And that will power, obviously, the services and the application layer or the apps that they provide.

Do you believe that will be a world in which we exist, where model providers inherently kind of safeguard the best models for their provisioning of apps a la Claude or not?

Martin is suggesting is that in competing cases, they will offer a worse model, which gives them an advantage.

As an example, Eleven Labs, which serves a huge amount of application layer companies, will reserve their latest models so they can offer the best customer support and then sell their older models to Sierra and Decagon so they have a worse quality model retaining the best for themselves.

Are there foundation model layer companies that are yet to be built that will be worth over $100 billion?

Does that make sense?

It does.

But when I hear about the capex required, I respectfully ask, do you have enough money?

I think the $1.3 billion was... No, not today.

Yeah.

How much money do you need, Ange?