Dwarkesh

So now we have these different forks of companies.

We have you, we have thinking machines, there's a bunch of other labs.

Yes.

And maybe one of them figures out the correct approach.

But then the release of their product makes it clear to other people how to do this thing.

And how are the...

By default, you would expect the model company that has that model to be getting all these gains because they have the model that is learning how to do all... has the skills and knowledge that it's building up in the world.

What is the reason to think that the benefits of that would be widely distributed and not just end up at whatever model company gets this continuous learning loop going first?

And that's the way you wanna go there.

Is this contradicted by what human-like learning implies?

Is that like it can learn?

high point where someone else would say look like i don't want to start learning what you've learned that would require many different companies to begin at the human like continual learning agent at the same time so that they can start their different research in different branches but if one company you know gets that agent first or gets that learner first

It does then seem like, well, if you just think about every single job in the economy, you just have instance learning.

Each one seems tractable for a company.

A lot of people's models of recursive self-improvement literally explicitly state we will have a million Ilias in a server that are coming up with different ideas, and this will lead to a superintelligence emerging very fast.

Do you have some intuition about how parallelizable the thing you are doing is?

What are the gains from making copies of Ilya?

I don't know.

I think...

But people who think differently, that's what you want.