Casey Handmer

And so right now, the AI revolution is about...

routing around cognitive constraints that in some ways writing, you know, like writing, printing press, computers, the internet have already allowed us to do to some extent.

A credit card is a good example of something that routes around a cognitive constraint of like building up network of trust, right?

It's decentralized trust.

Well, oil is like $8 trillion a year or something, right?

Yeah.

But if you said, well, one day we're going to consume 100 times more energy in the form of oil than in the form of food, and the per joule cost of food is, you know, whatever it is, the cost of a Big Mac, then oil should be like $800 trillion a year.

per unit energy, gasoline is 100 times cheaper than the cheapest food that humans can digest.

So does that mean that we've shot ourselves in the foot by using oil to run our economy?

Because it's so cheap?

Like, no.

Right, right.

I think at the point where like you've got a mixed economy with like,

Yeah.

Then obviously, like, I still have some pricing power relative to humans, and the AI thus has pricing power, right?

Yeah.

But if it was the case that, like, a new kind of job emerges that AI is really well adapted to,

because it's not competing against humans for most of those roles, it'd be competing against the other labs, right?

And so you'd actually see the cost pushed down to a small multiple of whatever the marginal production cost of those tokens is.

That would be my guess.