Tamay Besiroglu

dramatically changing basic problems that determine the structure of human firms.

Like for example, the principal agent problem might go away.

Like this is a problem where you as a worker have incentives that are either different from those of your manager or those of the entire firm or those of the shareholders of the firm.

Yeah.

Yeah, I agree that's a bigger deal.

At the same time, I would point out that like part of the reason why it's important to have like a coherent vision and culture and so on in human companies might be that –

there's incentive problems exist otherwise.

Like, I mean, I wouldn't rule that out, but I agree that the, like, aside from the overall macroeconomic thing, I think the fact that they can be replicated is probably the biggest deal.

That's right, that's right, that's right.

Yeah, yeah.

Like, that also enables additional sources of economies of scale, where if you have, like,

twice the number of GPUs.

You can run not only twice the number of copies of your old model, but then you can train a model that's even better.

So you double your training computers and your inference computer.

And that means you not only double, like you don't get just twice the number of workers you would have had otherwise.

You get more than that because they are also smarter, right?

Because you spend more training computers.

So then that is additional source of economies of scale.

And then there's this benefit that you can, like for humans,

Like, every human has to learn things from scratch, basically.