Max Tegmark

I think our brain is such a complicated mess because it wasn't evolved just to be intelligent.

It was evolved to also be self-assembling.

Right.

And self-repairing, right?

And...

evolutionarily attainable and so on.

So I think it's pretty, my hunch is that we're going to understand how to build AGI before we fully understand how our brains work.

Just like we understood how to build flying machines long before we were able to build a mechanical bird.

And even now, after 100 years later, did you see the TED Talk with this German mechanical bird?

I've heard you mention it.

It's amazing.

But even after that, we still don't fly in mechanical birds because it turned out the way we came up with was simpler.

And it's better for our purposes.

And I think it might be the same there.

That's one lesson.

Another lesson, which is more what our paper was about.

First, I, as a physicist, thought it was fascinating how there's a very close mathematical relationship, actually, between our artificial neural networks and a lot of things that we've studied for in physics.

Go by nerdy names like the renormalization group equation and Hamiltonians and yada, yada, yada.

And...

When you look a little more closely at this, you have... At first, I was like, whoa, there's something crazy here that doesn't make sense.