Blaise Agüera y Arcas

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213 appearances 2 recordings 1 series first heard Jul 2026 last heard 31 Jul

Blaise Agüera y Arcas’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 2 in all, peaking in Jul 2026 with 2.

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Freakonomics Radio · 682. Should A.I. Move to Space? · 24 Jul 2026 podcast

the effects of your actions, then there would also be no point in having a brain.

Yeah, that's exactly what I meant when I wrote the title of the book, what AI is teaching us about intelligence generally, including about ourselves.

So I think that's real.

It doesn't mean that you're just babbling, that you're just, you know, saying stuff.

In a way, when people say, oh, are people really just next token predictors?

The error is in the word just, because a lot is implied by that.

And in particular, what I think trips a

That they imagine that the mind that is doing that predicting or the process that is doing that predicting is outside the thing that is being predicted.

But the key thing to understand there is that the sequence of events that you're predicting include what you are going to do.

They include your own actions.

They are part of that stream of events that you experience too.

And what that means is that in order to do a good job of predicting the future, any future that involves your own actions, you actually have to be predicting yourself as well, modeling yourself.

And I actually think that that's where consciousness comes from.

Not consciousness in some kind of mystical sense, but in the sense that knowing what it's like to be you and knowing what you're likely to do in the future and what others think about you and what others think you think they think and so on.

You know, I think that is the functional essence of what consciousness really is.

Yeah, yeah, I think it is a fair assessment, actually.

Much as it makes me very afraid to say that, yes, I think that's correct.

through 2030 will come from data centers.

I was really worried about this a few years ago because even though the number is still small, how much electricity is being used today on AI, that is still a very small number.

But it is growing so quickly.

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