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Blaise Agüera y Arcas

Published podcast speaker

Claims
27
Episodes
2
Shows
1
Named items
0

Claim ledger

What Blaise said.

14 transcript-backed records

01 / evaluation

You have to build higher order models of them because that becomes an essential part of your umwelt, and you have to simplify or coarse grain the world in order to build a model that is that is ecologically relevant to you.

“You have to build higher order models of them because that becomes an essential part of your umwelt, and you have to simplify or coarse grain the world in order to build a model that is that is ecologically relevant to you.”
Publisher
Machine Learning Street Talk

02 / evaluation

I didn't mention, but, you know, in the original version of BFF, I added some random mutation because, you know, we're all taught in school that the way the way evolution works is chance and necessity.

“I didn't mention, but, you know, in the original version of BFF, I added some random mutation because, you know, we're all taught in school that the way the way evolution works is chance and necessity.”
Publisher
Machine Learning Street Talk

03 / evaluation

So, you know, on top you have logical gates, on the bottom you have, you know, transistors in your computer. This is important because, you know, there's there are no bits in a computer, there are just voltages that go up and down.

“So, you know, on top you have logical gates, on the bottom you have, you know, transistors in your computer. This is important because, you know, there's there are no bits in a computer, there are just voltages that go up and down.”
Publisher
Machine Learning Street Talk

04 / evaluation

When that happens, then they'll start to copy as a group and that is a symbiogenetic event. So basically, the reason that even without mutation you get these complex programs arising is because of these fusion events between smaller replicators.

“When that happens, then they'll start to copy as a group and that is a symbiogenetic event. So basically, the reason that even without mutation you get these complex programs arising is because of these fusion events between smaller replicators.”
Publisher
Machine Learning Street Talk

05 / evaluation

In the nineteenth century, when we began to figure out organic chemistry and be able to synthesize urea and so on, the the idea that that no, we should really adopt a strictly materialist perspective because there's nothing special or different about the matter in us versus the matter anywhere else in the universe, took hold.

“In the nineteenth century, when we began to figure out organic chemistry and be able to synthesize urea and so on, the the idea that that no, we should really adopt a strictly materialist perspective because there's nothing special or different about the matter in us versus the matter anywhere else in the universe, took hold.”
Publisher
Machine Learning Street Talk

06 / evaluation

Sometimes you can see the 2 of those populations go up and down together, that so means that they they may be collaborating with each other, and sometimes they go in opposite directions, they're anti correlated, and that means that they're competing with each other because they're, you know, 1 is overwriting the other for instance.

“Sometimes you can see the 2 of those populations go up and down together, that so means that they they may be collaborating with each other, and sometimes they go in opposite directions, they're anti correlated, and that means that they're competing with each other because they're, you know, 1 is overwriting the other for instance.”
Publisher
Machine Learning Street Talk

07 / evaluation

Right? So if you have a purely physical system, then, you know, to say that a causes b is equivalent to saying that b causes because everything is kind of a block universe, you like, in that kind of setup.

“Right? So if you have a purely physical system, then, you know, to say that a causes b is equivalent to saying that b causes because everything is kind of a block universe, you like, in that kind of setup.”
Publisher
Machine Learning Street Talk

08 / evaluation

In other words, you have to have a computer inside yourself as a cell in order to make another cell, and DNA is in this very literal sense a Turing tape. So, you know, it's it's a very profound insight because, you know, basically he's saying, you cannot be a living organism without literally being a computer, a universal computer.

“In other words, you have to have a computer inside yourself as a cell in order to make another cell, and DNA is in this very literal sense a Turing tape. So, you know, it's it's a very profound insight because, you know, basically he's saying, you cannot be a living organism without literally being a computer, a universal computer.”
Publisher
Machine Learning Street Talk

09 / evaluation

Great question. So I think that the idea of philosophical zombies, you know, David Chalmers has talked about, right, that maybe something could behave just like you or me, but be dead on the inside, you know, not not not have any experiences, not feel anything, is is actually a lot less coherent than it sounds.

“Great question. So I think that the idea of philosophical zombies, you know, David Chalmers has talked about, right, that maybe something could behave just like you or me, but be dead on the inside, you know, not not not have any experiences, not feel anything, is is actually a lot less coherent than it sounds.”
Publisher
Machine Learning Street Talk

10 / evaluation

The the point is that the moment you have life, meaning that you have something that can build a copy of itself, you have a general computer, which allows you to do anything.

“The the point is that the moment you have life, meaning that you have something that can build a copy of itself, you have a general computer, which allows you to do anything.”
Publisher
Machine Learning Street Talk

11 / evaluation

We went into a very strict materialist kind of perspective, where everything is just physics. And, you know, I I mean, I was trained as a physicist, you know, I think I I believe in physics fully, but I also think that there is more to life in the sense that, you know, if everything is just physics, then you have no way of saying what it means for you or me to be alive.

“We went into a very strict materialist kind of perspective, where everything is just physics. And, you know, I I mean, I was trained as a physicist, you know, I think I I believe in physics fully, but I also think that there is more to life in the sense that, you know, if everything is just physics, then you have no way of saying what it means for you or me to be alive.”
Publisher
Machine Learning Street Talk

12 / evaluation

Those are very clearly steps upward in complexity and and the reason that that it's trivial to prove that there are steps upward is because if you have a which is reproducing and can make more of itself, and you have b, which is reproducing and can make more of itself, think of them each as having a tape, right, that says how to make a me, then when they come together, the result has to both know how to make a and how to make b and how to put them together.

“Those are very clearly steps upward in complexity and and the reason that that it's trivial to prove that there are steps upward is because if you have a which is reproducing and can make more of itself, and you have b, which is reproducing and can make more of itself, think of them each as having a tape, right, that says how to make a me, then when they come together, the result has to both know how to make a and how to make b and how to put them together.”
Publisher
Machine Learning Street Talk

13 / evaluation

You know, putting Chomsky aside though, what what you're saying about merge or as I would see it composition, functional composition, I think is absolutely fundamental.

“You know, putting Chomsky aside though, what what you're saying about merge or as I would see it composition, functional composition, I think is absolutely fundamental.”
Publisher
Machine Learning Street Talk

14 / evaluation

You know, in the good old fashioned AI world, you would say, you've got a circle detector, you know, and and a, you know, and a line detector that will detect, you know, the the lines that make up the frame of the bike and and so on, and you'll write you'll handwrite code for all of those things. And and of course, the problem is that, you know, there are many ways of looking at a bike where you're not you're not gonna see the the wheels at once or maybe the bike is of a weird design, you know, there are those funny bikes that have shoes instead of wheels, you know.

“You know, in the good old fashioned AI world, you would say, you've got a circle detector, you know, and and a, you know, and a line detector that will detect, you know, the the lines that make up the frame of the bike and and so on, and you'll write you'll handwrite code for all of those things. And and of course, the problem is that, you know, there are many ways of looking at a bike where you're not you're not gonna see the the wheels at once or maybe the bike is of a weird design, you know, there are those funny bikes that have shoes instead of wheels, you know.”
Publisher
Machine Learning Street Talk
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