Dr. Jeff Beck

I'm pointing at London in case there was some confusion there.

It was really about the interconnected, highly specialized intelligences that are people and their ability to learn how to work together that gave rise to the technological revolution.

The brain is the same way, right?

In my view, it's highly specialized little modules or agents that are capable of being repurposed, reused, capable of communicating with one another in order to solve really complicated problems.

But there's always a benefit to specialization.

I don't believe in like AGI.

AGI seems like a bit of a misnomer to me.

What we really want is not artificial general intelligence.

We want collective specialized intelligences.

Right now, the way that we're doing that is largely focused on summarizing vast troves of data and looking for correlations that are present in it.

I think the next major milestone in this trajectory is experimental design.

Not just, oh, well, here's some correlations you may not have seen because they're really small, and this is what computers are good at.

They're really good at identifying small but highly relevant correlations.

And the next step, of course, is constructing a system that tests these hypotheses explicitly.

and generates the experiments that will identify, that will fill in the gaps of our knowledge.

And all of this, I believe, can in fact be automated in a very sensible way.

I don't see any major obstacles to automating empirical inquiry, other than we probably want to place some safety constraints when we start letting the AIs run the labs.

Because you never know.

You always have this AI that's like, well, you know, the most effective experiment to determine if this is correct is to set off a nuke.

And that would be bad.