WEBVTT - Rerun: Machine Consciousness

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host, Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeartRadio, and I love all

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<v Speaker 1>things tech and I owe you guys an apology. We're

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<v Speaker 1>you're having a rerun episode today, So this is a

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<v Speaker 1>rerun from twenty nineteen about machine consciousness, and it's again

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<v Speaker 1>one of those tricky concepts. Consciousness is a difficult thing

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<v Speaker 1>to define, even for humans. So sit back and enjoy

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<v Speaker 1>this rerun. I'll talk to you again at the end

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<v Speaker 1>of the episode. There's a topic I have touched on

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<v Speaker 1>on several occasions in past episodes, but I really wanted

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<v Speaker 1>to dig down today into this topic because it's one

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<v Speaker 1>of those that's fascinating and is an underpinning for tons

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<v Speaker 1>of speculative fiction and horror stories. And since we're now

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<v Speaker 1>in October, I fig this would be kind of thematically

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<v Speaker 1>linked to Halloween text style. It turns out that's pretty

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<v Speaker 1>hard to do Halloween technology stories. I've already covered stuff

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<v Speaker 1>like haunted house technology. So today we're going to talk

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<v Speaker 1>about consciousness and whether or not it might be possible

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<v Speaker 1>that machines could one day achieve consciousness. Now, I could

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<v Speaker 1>start this off by talking about the Turing test, which

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<v Speaker 1>many people have used as the launch point for machine

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<v Speaker 1>intelligence and machine consciousness debates. The way we understand that

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<v Speaker 1>test today, which by the way, is slightly different from

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<v Speaker 1>the test that Alan Turing first proposed, is that you

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<v Speaker 1>have a human interviewer who, through a computer interface, asks

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<v Speaker 1>questions of a subject, and the subject might be another human,

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<v Speaker 1>or it might be a computer program posing as a human,

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<v Speaker 1>and the interviewer just sees text on a screen. So

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<v Speaker 1>if the interviewer is unable to pass a certain threshold

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<v Speaker 1>of being able to tell the difference, to be able

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<v Speaker 1>to determine whether it was a machine or a person,

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<v Speaker 1>then the program or machine that's being tested is said

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<v Speaker 1>to have passed the Turing test. It doesn't mean the

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<v Speaker 1>program or machine is conscious or even intelligent, but rather

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<v Speaker 1>says that to outward appearances, it seems to be intelligent

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<v Speaker 1>and conscious. See, we humans can't be absolutely sure that

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<v Speaker 1>other humans are conscious and intelligent. We assume that they

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<v Speaker 1>are because each of us knows of our own consciousness

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<v Speaker 1>and our own intelligence. We have a personal experience with

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<v Speaker 1>that direct personal experience, and other people seem to display

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<v Speaker 1>behaviors that indicate they too possess those traits, and they

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<v Speaker 1>too have a personal experience. But we cannot be those

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<v Speaker 1>other people, and so we have to grant them the

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<v Speaker 1>consideration that they too are conscious and intelligent. And I

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<v Speaker 1>agree that is very big of us. This is actually

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<v Speaker 1>called the problem of other minds in the field of philosophy,

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<v Speaker 1>and the problem is this, it is impossible for any

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<v Speaker 1>one of us to step outside of ourselves and into

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<v Speaker 1>any other person's consciousness. We cannot feel what other people

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<v Speaker 1>are feeling or experience their thoughts firsthand. We are aware

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<v Speaker 1>of our own abilities, but we are only aware of

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<v Speaker 1>the appearance that other people share those abilities. So assuming

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<v Speaker 1>that other people also experience consciousness rather than imitating it,

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<v Speaker 1>really really, well, that's a step we all have to take.

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<v Speaker 1>Turing's point is that if we do grant that consideration

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<v Speaker 1>to other people, why would we not do it to

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<v Speaker 1>machines as well. I mean, the machine appears to possess

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<v Speaker 1>the same qualities as a human. This is a hypothetical machine,

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<v Speaker 1>so we cannot experience what that machine is going through,

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<v Speaker 1>just as we can't experience what another person is going through.

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<v Speaker 1>At least not on the intrinsic personal level. So why

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<v Speaker 1>would we not grant the machine the same consideration that

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<v Speaker 1>we would grant to people? And Touring was being a

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<v Speaker 1>little cheeky. But while I just gave kind of a

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<v Speaker 1>super fast, high level description of the Turing test, that's

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<v Speaker 1>not actually where I want to start. I want to

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<v Speaker 1>begin with the concept of consciousness itself. Now, the reason

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<v Speaker 1>I want to do this isn't just to make a

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<v Speaker 1>longer podcast. It's because I think one of the most

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<v Speaker 1>fundamental problems with the discussion about AI intelligence, self awareness,

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<v Speaker 1>and consciousness is that there tends to be a pretty

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<v Speaker 1>large disconnect between the biologists and the doctors who specialize

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<v Speaker 1>in neuroscience, particularly cognitive neuroscience, and thus have some understanding

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<v Speaker 1>about the nature of consciousness and people. And then you

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<v Speaker 1>have computer scientists who have a deep understanding of how

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<v Speaker 1>computers process information. And while we frequently will compare brains

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<v Speaker 1>to computers, that comparison is not one to one. It

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<v Speaker 1>is largely a comparison of convenience, and in some cases

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<v Speaker 1>you could argue it's not terribly useful, it might actually

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<v Speaker 1>be counterproductive. And so I think at least some of

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<v Speaker 1>the speculation about machine consciousness is based on a lack

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<v Speaker 1>of understanding of how complicated and mysterious this topic is

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<v Speaker 1>in the first place, and this ends up being really tricky.

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<v Speaker 1>Consciousness isn't an easily defined quality or quantity. Some people

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<v Speaker 1>like to say, we don't so much define consciousness by

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<v Speaker 1>what it is, but rather what it isn't. And this

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<v Speaker 1>will also will kind of bring us into the realm

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<v Speaker 1>of philosophy. Now, I'm going to be honest with you, guys.

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<v Speaker 1>The realm of philosophy is not one I'm terribly comfortable in.

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<v Speaker 1>I'm pretty pragmatic, and philosophy deals with a lot of

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<v Speaker 1>stuff that is, at least for now, unknowable. Philosophy sometimes

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<v Speaker 1>asks questions that we do not and cannot have the

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<v Speaker 1>answer to, and in many cases we may never be

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<v Speaker 1>able to answer those questions. And the pragmatist em says, well,

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<v Speaker 1>why bother asking the question if you can never get

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<v Speaker 1>the answer. Let's just focus on the stuff we actually

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<v Speaker 1>can answer. Now, I realize this is a limitation on

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<v Speaker 1>my part. I'm owning that I'm not out to upset

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<v Speaker 1>the philosophical apple cart. I'm just of a different philosophical meant,

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<v Speaker 1>and I realize that just because we can't answer some

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<v Speaker 1>questions right now, that doesn't necessarily mean they will all

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<v Speaker 1>go unanswered for all time. We might glean a way

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<v Speaker 1>of answering at least some of them, though I suspect

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<v Speaker 1>a few will be forever unanswered. If we go with

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<v Speaker 1>the Basic Dictionary definition of consciousness, it's quote the state

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<v Speaker 1>of being awake and aware of one's end quote. But

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<v Speaker 1>what this doesn't tell us is what's going on that

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<v Speaker 1>lets us do that. It also doesn't talk about being

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<v Speaker 1>aware of oneself, which we largely consider consciousness to be

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<v Speaker 1>part of. Is not just aware of your surroundings, but

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<v Speaker 1>aware that you exist within those surroundings, your relationship to

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<v Speaker 1>your surroundings, and things that are going on within you, yourself,

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<v Speaker 1>your feelings, and your thoughts. The fact that you can

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<v Speaker 1>process all of this, you can reflect upon yourself. We

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<v Speaker 1>tend to group that into consciousness as well. So how

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<v Speaker 1>is it that we can feel things and be aware

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<v Speaker 1>of those feelings? How is it that we can have

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<v Speaker 1>intentions and be aware of our intentions. We are more

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<v Speaker 1>complex than beings that simply react to sensory input. We

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<v Speaker 1>are more than beings that respond to stuff like hunger, fear,

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<v Speaker 1>or the desire to procreate. We have motivations, sometimes really

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<v Speaker 1>complex motivations, and we can reflect on those, we can

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<v Speaker 1>examine them, we can question them, we can even change them.

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<v Speaker 1>So how do we do this? Now? We know this

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<v Speaker 1>is special because some of the things we can do

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<v Speaker 1>are shared among a very few species on Earth. For example,

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<v Speaker 1>we humans can recognize our own reflections in a mirror.

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<v Speaker 1>Starting at around age two or so, we can see

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<v Speaker 1>the mirror image and we recognize the mirrorage image is

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<v Speaker 1>of us. Now, there are only eight species that can

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<v Speaker 1>do this that we know about anyway. Those species are

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<v Speaker 1>the great apes. So you've got humans, gorillas orangutans, bonobos,

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<v Speaker 1>and chimpanzees, the magpie, the dolphin, and that's it. Oh

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<v Speaker 1>and the magpies are birds, right, That's that's all of them.

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<v Speaker 1>Recognizing one's own form in a mirror shows a sense

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<v Speaker 1>of self awareness, literally, of awareness of one's self. There

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<v Speaker 1>are a lot of great resources online and offline that

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<v Speaker 1>go into the theme of consciousness. Heck, there are numerous

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<v Speaker 1>college level courses and graduate level courses dedicated to this topic.

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<v Speaker 1>So I'm not going to be able to go into

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<v Speaker 1>all the different hypotheses, arguments, counter arguments, etc. In this episode,

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<v Speaker 1>but I can cover some basics. Also, I highly recommend

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<v Speaker 1>you check out V. Sauce's video on YouTube that's titled

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<v Speaker 1>what is Consciousness? Because it's really good. And no, I

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<v Speaker 1>don't know Michael. I have no connection to him. I've

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<v Speaker 1>never met him. This is just an honest recommendation from me,

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<v Speaker 1>and I have no connection whatsoever to that video series.

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<v Speaker 1>The video includes a link to what V Sauce dubs

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<v Speaker 1>a lean back, which is a playlist of related videos

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<v Speaker 1>on the subject at hand, in this case, consciousness. Those

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<v Speaker 1>are also really fascinating. But I do want to point

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<v Speaker 1>out that, at least at the time of this recording,

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<v Speaker 1>a couple of the videos in that playlist since been

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<v Speaker 1>delisted from YouTube for whatever reason, So there are a

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<v Speaker 1>couple of blank spots in there. But what those videos show,

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<v Speaker 1>and what countless papers and courses and presentations also show,

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<v Speaker 1>is that the brain is so incredibly complex and nuanced

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<v Speaker 1>that we don't know what we don't know. We do

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<v Speaker 1>know that there are some pretty funky things going up

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<v Speaker 1>in the gray matter up in our noggins, and we

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<v Speaker 1>also know that many of the explanations given to describe

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<v Speaker 1>consciousness rely upon some assumptions that we don't have any

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<v Speaker 1>substantial evidence for. You can't really assert something to be

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<v Speaker 1>true if it's based on a premise that you also

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<v Speaker 1>don't know to be true. That's not how good science works.

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<v Speaker 1>This is also why I reject the arguments around stuff

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<v Speaker 1>like ghost hunting equipment. The use of that equipment is

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<v Speaker 1>predicated on the argument that ghosts exist and they have

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<v Speaker 1>certain influences on their environment. But we haven't proven that

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<v Speaker 1>ghosts exist in the first place, let alone that they

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<v Speaker 1>can affect the environment. So selling a meter that supposedly

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<v Speaker 1>detects a ghostly presence from electromagnetic fluctuations makes no logical sense.

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<v Speaker 1>For us to know that to be true, we would

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<v Speaker 1>already have to have established that one, ghosts are real,

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<v Speaker 1>at two that they have these electromagnetic fluctuation effects, and

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<v Speaker 1>we haven't done that. It's like working science in reverse.

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<v Speaker 1>That's not how it works anyway. There are a lot

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<v Speaker 1>of arguments about consciousness that suggests perhaps there's some ineffable

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<v Speaker 1>force that informs it. You can call it the spirit

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<v Speaker 1>or the soul or whatever. So that argument suggests that

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<v Speaker 1>this thing we've never proven to have existed, is what

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<v Speaker 1>gives consciousness its own and that's a problem. We can't

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<v Speaker 1>really state that. I mean, you can't say the reason

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<v Speaker 1>this thing exists is this other thing that we've never

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<v Speaker 1>proven to exist makes it exist. Well, that you've just

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<v Speaker 1>made it harder to even prove anything. And we have

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<v Speaker 1>evidence that also shows that that whole idea doesn't hold water.

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<v Speaker 1>The evidence comes in the form of brain disorders, brain diseases,

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<v Speaker 1>and brain damage. We have seen that disease and damage

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<v Speaker 1>to the brain affects consciousness, which suggests that consciousness manifests

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<v Speaker 1>from the actual form and function of our brains, not

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<v Speaker 1>from any mysterious force. Our ability to perceive, to process information,

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<v Speaker 1>to have an understanding of the self, to have an

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<v Speaker 1>accurate reflection of what's going on around us within our

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<v Speaker 1>own conceptual reality, all of that appears to be predicated

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<v Speaker 1>primarily upon the brain. Now, originally I was planning to

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<v Speaker 1>give a rundown on some of the prevailing theories about consciousness.

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<v Speaker 1>In other words, I want to summarize the various schools

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<v Speaker 1>of thought about how consciousness actually arises. But as I

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<v Speaker 1>dove down into the research, it became apparent really quickly

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<v Speaker 1>that such a discussion would require so much groundwork and

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<v Speaker 1>more importantly, a much deeper understanding on my part than

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<v Speaker 1>would be practical for this podcast. So instead of talking

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<v Speaker 1>about the higher order theory of consciousness versus the general

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<v Speaker 1>workspace theory versus integrated information theory, I'll take a step

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<v Speaker 1>back and I'll say there's a lot of ongoing debate

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<v Speaker 1>about the subject, and no one has conclusively proven that

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<v Speaker 1>any particular theory or argument is most likely true. Each

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<v Speaker 1>theory has its strengths and its weaknesses, and complicating matters

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<v Speaker 1>further is that we haven't refined our language around the

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<v Speaker 1>concepts enough to differentiate various ideas. That means you can't

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<v Speaker 1>talk about an organism being conscious of something and that

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<v Speaker 1>degree of consciousness is somehow inherently specific, it's not. That's

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<v Speaker 1>the issue. So, for example, I could say a rat

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<v Speaker 1>is conscious of a rat terrier type of that hunts

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<v Speaker 1>down rats, and so as a result of this consciousness

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<v Speaker 1>of the rat terrier, the rat attempts to remain hidden

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<v Speaker 1>so as not to be killed. But does that mean

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<v Speaker 1>the rat merely perceives the rat terrier and thus is

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<v Speaker 1>trying to stay out of its way, and that's as

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<v Speaker 1>far as the consciousness goes. Or does it mean that

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<v Speaker 1>the rat actually has a deeper, more meaningful awareness of

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<v Speaker 1>the rat terrier? The language is in much help here,

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<v Speaker 1>and moreover, there's debate about what degrees of consciousness there

0:14:30.240 --> 0:14:34.960
<v Speaker 1>even are. Also, while I've been harping on consciousness, that's

0:14:35.000 --> 0:14:38.520
<v Speaker 1>not the only concept we have to consider. Another is intelligence,

0:14:38.880 --> 0:14:43.200
<v Speaker 1>which is distinct from consciousness, and there are some similarities.

0:14:43.760 --> 0:14:48.600
<v Speaker 1>Like consciousness, intelligence is predicated upon brain functions. Again, a

0:14:48.720 --> 0:14:52.760
<v Speaker 1>long history of investigating brain disorders and brain damage indicates this,

0:14:53.240 --> 0:14:56.440
<v Speaker 1>as it can affect not just consciousness but also intelligence.

0:14:57.000 --> 0:15:01.960
<v Speaker 1>So what is intelligence? Well ready for this, but like consciousness,

0:15:02.200 --> 0:15:07.160
<v Speaker 1>there's no single agreed upon definition or theory of intelligence.

0:15:07.440 --> 0:15:10.120
<v Speaker 1>In general, we use the word intelligence to describe the

0:15:10.160 --> 0:15:14.120
<v Speaker 1>ability to think, to learn, to absorb knowledge, and to

0:15:14.200 --> 0:15:17.880
<v Speaker 1>make use of it to develop skills. Intelligence is what

0:15:17.960 --> 0:15:20.920
<v Speaker 1>allowed humans to learn how to make basic tools, to

0:15:20.960 --> 0:15:24.320
<v Speaker 1>gain an understanding of how to cultivate plants and develop agriculture,

0:15:24.640 --> 0:15:28.680
<v Speaker 1>to develop architecture, to understand mathematic principles and all sorts

0:15:28.680 --> 0:15:32.880
<v Speaker 1>of stuff. So in humans, we tend to lump consciousness

0:15:32.920 --> 0:15:35.640
<v Speaker 1>and intelligence together we tend to think in terms of

0:15:36.000 --> 0:15:39.800
<v Speaker 1>being intelligent and being self aware, but the two need

0:15:39.880 --> 0:15:43.080
<v Speaker 1>not necessarily go hand in hand. There are many people

0:15:43.160 --> 0:15:45.480
<v Speaker 1>who believe that it could be possible to construct an

0:15:45.560 --> 0:15:50.920
<v Speaker 1>artificial intelligence or an artificial consciousness independently of one another.

0:15:51.360 --> 0:15:54.280
<v Speaker 1>When we come back, i'll explain more, but first let's

0:15:54.360 --> 0:16:05.480
<v Speaker 1>take a quick break. So, in a very general sense,

0:16:06.000 --> 0:16:09.920
<v Speaker 1>the group of hypotheses that fall into the integrated information

0:16:10.120 --> 0:16:15.520
<v Speaker 1>theory umbrella state that consciousness emerges through linking elements in

0:16:15.640 --> 0:16:20.680
<v Speaker 1>our brains. These would be neurons processing large amounts of information,

0:16:21.080 --> 0:16:24.720
<v Speaker 1>and that it's the scale of this endeavor that then

0:16:24.880 --> 0:16:28.120
<v Speaker 1>leads to consciousness. In other words, if you have enough

0:16:28.160 --> 0:16:32.520
<v Speaker 1>processors working on enough information and they're all interconnected with

0:16:32.600 --> 0:16:37.440
<v Speaker 1>each other and it's very complicated, bang, you get consciousness. Now,

0:16:37.760 --> 0:16:41.960
<v Speaker 1>it is clear our brains process a lot of information.

0:16:42.400 --> 0:16:45.560
<v Speaker 1>If you do a search in textbooks or online, you'll

0:16:45.600 --> 0:16:49.320
<v Speaker 1>frequently encounter the stat that their brains have around one

0:16:49.400 --> 0:16:53.160
<v Speaker 1>hundred billion neurons in them and ten times as many

0:16:53.240 --> 0:16:57.960
<v Speaker 1>glial cells. Neurons are like the processors in a computer system,

0:16:57.960 --> 0:17:01.320
<v Speaker 1>and glial cells would be the support systems and insulators

0:17:01.360 --> 0:17:05.120
<v Speaker 1>for those processors. Anyway, those numbers have since come under

0:17:05.240 --> 0:17:09.639
<v Speaker 1>some dispute. As an associate professor at Vanderbilt University named

0:17:09.760 --> 0:17:15.640
<v Speaker 1>Susanna Herculano Husel. She explained that the old way of

0:17:16.400 --> 0:17:19.720
<v Speaker 1>estimating how many neurons the brain had appeared to be

0:17:19.760 --> 0:17:23.240
<v Speaker 1>based on taking slices of the brain, estimating the number

0:17:23.240 --> 0:17:26.320
<v Speaker 1>of neurons in that slice, and then kind of extrapolating

0:17:26.400 --> 0:17:29.320
<v Speaker 1>that number to apply across the brain in general. But

0:17:29.440 --> 0:17:32.800
<v Speaker 1>that ignores stuff like the density of cells and the

0:17:32.800 --> 0:17:35.960
<v Speaker 1>distribution of the cells across the brain. So what she did,

0:17:36.640 --> 0:17:40.360
<v Speaker 1>and this also falls into the category of Halloween horror stories,

0:17:40.880 --> 0:17:44.159
<v Speaker 1>is she took a brain and she freaking dissolved it.

0:17:44.960 --> 0:17:48.280
<v Speaker 1>She could then get account of the neuron nuclei that

0:17:48.440 --> 0:17:53.600
<v Speaker 1>was in the soupy mix. By her accounting, the brain

0:17:53.680 --> 0:17:58.000
<v Speaker 1>has closer to eighty six billion neurons and just as

0:17:58.000 --> 0:18:01.280
<v Speaker 1>many glial cells. Still a lot of cells, mind you,

0:18:01.359 --> 0:18:02.720
<v Speaker 1>But you got to admit it's a bit of a

0:18:02.760 --> 0:18:07.160
<v Speaker 1>blow to lose fourteen billion neurons overnight. Still, we're talking

0:18:07.160 --> 0:18:12.480
<v Speaker 1>about billions of neurons that interconnect through an incredibly complex

0:18:12.520 --> 0:18:15.880
<v Speaker 1>system in our brains, with different regions of the brain

0:18:15.960 --> 0:18:19.360
<v Speaker 1>handling different things, and so, yeah, we're processing a lot

0:18:19.359 --> 0:18:22.720
<v Speaker 1>of information all the time, and we do happen to

0:18:22.840 --> 0:18:26.439
<v Speaker 1>be conscious. So could it be possible that with a

0:18:26.440 --> 0:18:30.280
<v Speaker 1>sufficiently powerful computer system, perhaps made up of hundreds or

0:18:30.520 --> 0:18:34.720
<v Speaker 1>thousands or tens of thousands of individual computers, each with

0:18:34.960 --> 0:18:38.280
<v Speaker 1>hundreds of processors, that you could end up with an

0:18:38.320 --> 0:18:42.439
<v Speaker 1>emergent consciousness, Or, as some people have proposed, could the

0:18:42.560 --> 0:18:46.240
<v Speaker 1>Internet itself become conscious due to the fact that it

0:18:46.320 --> 0:18:50.040
<v Speaker 1>is an enormous system of interconnected nodes that is pushing

0:18:50.040 --> 0:18:55.960
<v Speaker 1>around incredible amounts of information. Well, maybe maybe it's possible.

0:18:56.480 --> 0:19:00.360
<v Speaker 1>But here's the kicker. This theory doesn't actually explain the

0:19:00.400 --> 0:19:05.640
<v Speaker 1>mechanism by which the consciousness emerges. See, it's one thing

0:19:05.720 --> 0:19:10.080
<v Speaker 1>to process information, it's another thing to be aware of

0:19:10.119 --> 0:19:13.520
<v Speaker 1>that experience. So when I perceive a color, I'm not

0:19:13.680 --> 0:19:18.600
<v Speaker 1>just perceiving a color. I'm aware that I'm experiencing that color.

0:19:19.000 --> 0:19:21.080
<v Speaker 1>Or to put it in another way, I can relate

0:19:21.200 --> 0:19:23.960
<v Speaker 1>something to how it makes me feel, or some other

0:19:24.119 --> 0:19:28.400
<v Speaker 1>subjective experience that is personal to me. So a machine

0:19:28.520 --> 0:19:32.320
<v Speaker 1>might objectively be able to return data about stuff like

0:19:32.800 --> 0:19:35.080
<v Speaker 1>what is a color of a piece of paper? It

0:19:35.119 --> 0:19:38.040
<v Speaker 1>analyzes the light that's being reflected off that piece of paper,

0:19:38.240 --> 0:19:40.879
<v Speaker 1>it compares that light to a spectrum of colors. But

0:19:40.920 --> 0:19:43.280
<v Speaker 1>that's still not the same thing as having the subjective

0:19:43.400 --> 0:19:47.159
<v Speaker 1>experience of perceiving the color. And there may well be

0:19:47.320 --> 0:19:50.960
<v Speaker 1>some connection between the complexity of the interconnected neurons in

0:19:51.000 --> 0:19:53.960
<v Speaker 1>our brains and the amount of information that we're processing

0:19:54.480 --> 0:19:58.800
<v Speaker 1>and our sense of consciousness, but the theory doesn't actually

0:19:58.840 --> 0:20:02.840
<v Speaker 1>explain what that connection is. It's more like saying, hey,

0:20:03.400 --> 0:20:07.840
<v Speaker 1>maybe this thing we have, this consciousness experience, is also

0:20:07.960 --> 0:20:11.960
<v Speaker 1>linked to this other thing, without actually making the link

0:20:12.000 --> 0:20:15.400
<v Speaker 1>between the two. It appears to be correlative, but not

0:20:15.520 --> 0:20:20.280
<v Speaker 1>necessarily causal to relate that to our personal experience. Imagine

0:20:20.320 --> 0:20:24.119
<v Speaker 1>that you've just poofed into existence. You have no prior

0:20:24.200 --> 0:20:27.679
<v Speaker 1>knowledge of the world, or the physics in that world,

0:20:27.800 --> 0:20:31.280
<v Speaker 1>or basic stuff like that, so you're drawing conclusions about

0:20:31.280 --> 0:20:35.360
<v Speaker 1>the world around you based solely on your observations as

0:20:35.400 --> 0:20:38.320
<v Speaker 1>you wander around and do stuff. And at one point

0:20:38.720 --> 0:20:42.199
<v Speaker 1>you see an interesting looking rock on the path, so

0:20:42.240 --> 0:20:44.199
<v Speaker 1>you bend over and you pick up the rock, and

0:20:44.280 --> 0:20:47.480
<v Speaker 1>when you do, it starts to rain, and you think, well,

0:20:47.520 --> 0:20:50.199
<v Speaker 1>maybe I caused it to rain because I picked up

0:20:50.240 --> 0:20:53.240
<v Speaker 1>this rock. And maybe it happens a few times where

0:20:53.280 --> 0:20:55.280
<v Speaker 1>you pick up a rock and it starts to rain,

0:20:55.600 --> 0:20:58.600
<v Speaker 1>which seems to support your thesis. But does that mean

0:20:58.680 --> 0:21:02.879
<v Speaker 1>you're actually causing the effects that you are observing? If so,

0:21:03.440 --> 0:21:07.199
<v Speaker 1>what is it about picking up the rock that's making

0:21:07.240 --> 0:21:11.000
<v Speaker 1>it rain? Now, even in this absurd case that I'm making,

0:21:11.440 --> 0:21:14.320
<v Speaker 1>you could argue that if there's never an instance in

0:21:14.359 --> 0:21:17.400
<v Speaker 1>which picking up the rock wasn't immediately followed by rain,

0:21:17.880 --> 0:21:20.479
<v Speaker 1>there's a lot of evidence to suggest the two are linked,

0:21:20.840 --> 0:21:24.040
<v Speaker 1>but you still can't explain why they are linked, why

0:21:24.080 --> 0:21:27.639
<v Speaker 1>does one cause the other? And that's a problem because

0:21:27.880 --> 0:21:31.840
<v Speaker 1>without that piece, you're never really totally sure that you're

0:21:31.840 --> 0:21:34.960
<v Speaker 1>on the right track. That's kind of where we are

0:21:35.040 --> 0:21:38.120
<v Speaker 1>with consciousness. We've got a lot of ideas about what

0:21:38.200 --> 0:21:41.480
<v Speaker 1>makes it happen, but those ideas are mostly missing key

0:21:41.520 --> 0:21:46.520
<v Speaker 1>pieces that explain why it's happening. Now, it's possible that

0:21:46.600 --> 0:21:50.280
<v Speaker 1>we cannot reduce consciousness any further than we already have,

0:21:50.840 --> 0:21:53.520
<v Speaker 1>and maybe that means we never really get a handle

0:21:53.600 --> 0:21:56.320
<v Speaker 1>on what makes it happen. It's also possible that we

0:21:56.359 --> 0:22:00.680
<v Speaker 1>could facilitate the emergence of consciousness and machines without knowing

0:22:01.080 --> 0:22:04.800
<v Speaker 1>how we did it. Essentially, that would be like stumbling

0:22:04.880 --> 0:22:08.399
<v Speaker 1>upon the phenomenon by luck. We just happened to create

0:22:08.440 --> 0:22:12.080
<v Speaker 1>the conditions necessary to allow some form of artificial consciousness

0:22:12.080 --> 0:22:15.439
<v Speaker 1>to emerge. Now, I think this might be possible, but

0:22:15.480 --> 0:22:18.520
<v Speaker 1>it strikes me as a long shot. I think of

0:22:18.560 --> 0:22:21.520
<v Speaker 1>it like being locked in a dark warehouse filled with

0:22:21.680 --> 0:22:25.280
<v Speaker 1>every mechanical part you can imagine, and you start trying

0:22:25.359 --> 0:22:28.159
<v Speaker 1>to put things together in complete darkness, and then the

0:22:28.240 --> 0:22:30.480
<v Speaker 1>lights come on and you see that you have created

0:22:30.520 --> 0:22:34.359
<v Speaker 1>a perfect replica of an F fifteen fighter jet. Is

0:22:34.400 --> 0:22:38.879
<v Speaker 1>that possible? Well, I mean, yeah, I guess, but it

0:22:38.920 --> 0:22:43.760
<v Speaker 1>seems overwhelmingly unlikely. But again, this is based off ignorance.

0:22:44.000 --> 0:22:46.399
<v Speaker 1>It's based off the fact that it hasn't happened yet,

0:22:46.720 --> 0:22:50.800
<v Speaker 1>so I could be totally wrong here. Now, on the

0:22:50.800 --> 0:22:55.320
<v Speaker 1>flip side of that, programmers, engineers, and scientists have created

0:22:55.400 --> 0:22:59.159
<v Speaker 1>computer systems that can process information in intricate ways to

0:22:59.160 --> 0:23:02.040
<v Speaker 1>come up with solutions to problems that seem, at least

0:23:02.080 --> 0:23:05.600
<v Speaker 1>at first glance, to be similar to how we humans think.

0:23:05.960 --> 0:23:09.440
<v Speaker 1>We even have names for systems that reflect biological systems,

0:23:09.480 --> 0:23:13.239
<v Speaker 1>like artificial neural networks. Now, the name might make it

0:23:13.320 --> 0:23:18.040
<v Speaker 1>sound like it's a robot brain, but it's not quite that. Instead,

0:23:18.320 --> 0:23:20.879
<v Speaker 1>it's a model for computing in which components in the

0:23:20.920 --> 0:23:25.280
<v Speaker 1>system act kind of like neurons. They're interconnected and each

0:23:25.359 --> 0:23:29.320
<v Speaker 1>one does a specific process. The nodes in the computer

0:23:29.400 --> 0:23:33.159
<v Speaker 1>system connect to other nodes. So you feed the system

0:23:33.240 --> 0:23:36.520
<v Speaker 1>input whatever it is you want to process, and then

0:23:36.680 --> 0:23:40.320
<v Speaker 1>the nodes that accept that input perform some form of

0:23:40.359 --> 0:23:44.840
<v Speaker 1>operation on it and then send that resulting data the

0:23:45.600 --> 0:23:50.439
<v Speaker 1>answer after they've processed this information onto other nodes in

0:23:50.480 --> 0:23:53.840
<v Speaker 1>the network. It's a non linear approach to computing, and

0:23:53.880 --> 0:23:57.600
<v Speaker 1>by adjusting the processes each node performs. This is also

0:23:58.119 --> 0:24:01.440
<v Speaker 1>known as adjusting the weight of the nodes, you can

0:24:01.480 --> 0:24:04.840
<v Speaker 1>tweak the outcomes. Now, this is incredibly useful. If you

0:24:04.960 --> 0:24:08.520
<v Speaker 1>already know the outcome you want, you can tweak the

0:24:08.560 --> 0:24:12.199
<v Speaker 1>system so that it learns or is trained to recognize

0:24:12.200 --> 0:24:16.760
<v Speaker 1>something specific. For example, you could train a computer system

0:24:16.800 --> 0:24:20.159
<v Speaker 1>to recognize faces, so you would feed it images. Some

0:24:20.200 --> 0:24:22.760
<v Speaker 1>of the images would have faces in them, some would

0:24:22.760 --> 0:24:25.639
<v Speaker 1>not have faces in them. Some might have something that

0:24:25.760 --> 0:24:27.680
<v Speaker 1>could be a face, but it's hard to tell. Maybe

0:24:27.720 --> 0:24:30.919
<v Speaker 1>it's a shape in a picture. That looks kind of

0:24:30.960 --> 0:24:33.960
<v Speaker 1>like a face, but it's not actually someone's face. Anyway.

0:24:34.000 --> 0:24:36.879
<v Speaker 1>You train the computer model to try and separate the

0:24:36.960 --> 0:24:40.600
<v Speaker 1>faces from the non faces, and it might take many

0:24:40.680 --> 0:24:43.800
<v Speaker 1>iterations to get the model trained up using your starting

0:24:43.880 --> 0:24:47.159
<v Speaker 1>data your training data. Now, once you do have your

0:24:47.160 --> 0:24:49.600
<v Speaker 1>computer model trained up, you've tweaked all the nodes so

0:24:49.680 --> 0:24:54.040
<v Speaker 1>that it is reliably producing results that say, yes, this

0:24:54.160 --> 0:24:56.800
<v Speaker 1>is a face or no, this isn't. You can now

0:24:56.920 --> 0:25:00.760
<v Speaker 1>feed that same computer model brand new images that it

0:25:00.800 --> 0:25:04.480
<v Speaker 1>has never seen before, and it can perform the same functions.

0:25:04.800 --> 0:25:08.520
<v Speaker 1>You have taught the computer model how to do something.

0:25:08.880 --> 0:25:12.880
<v Speaker 1>But this isn't like spontaneous intelligence, and it's not connected

0:25:12.920 --> 0:25:16.880
<v Speaker 1>to consciousness. You couldn't really call it thinking so much

0:25:16.880 --> 0:25:21.880
<v Speaker 1>as just being trained to recognize specific patterns pretty well. Now,

0:25:21.920 --> 0:25:25.119
<v Speaker 1>that's just one example of putting an artificial neural network

0:25:25.160 --> 0:25:28.199
<v Speaker 1>to use. There are lots of others, and there are

0:25:28.200 --> 0:25:33.480
<v Speaker 1>also systems like IBM's Watson, which also appears at casual

0:25:33.520 --> 0:25:36.960
<v Speaker 1>glance to think. This was helped in no small part

0:25:37.080 --> 0:25:40.720
<v Speaker 1>by the very public display of Watson competing on special

0:25:40.800 --> 0:25:44.119
<v Speaker 1>episodes of Jeopardy, and which it went up against human

0:25:44.200 --> 0:25:49.119
<v Speaker 1>opponents who were former Jeopardy champions themselves. Watson famously couldn't

0:25:49.160 --> 0:25:52.720
<v Speaker 1>call upon the Internet to search for answers. All the

0:25:52.800 --> 0:25:56.120
<v Speaker 1>data the computer could access was self contained in its

0:25:56.320 --> 0:26:01.080
<v Speaker 1>undeniably voluminous storage, and the computer had to parse what

0:26:01.240 --> 0:26:04.600
<v Speaker 1>the clues in Jeopardy were actually looking for, then come

0:26:04.680 --> 0:26:07.919
<v Speaker 1>up with an appropriate response. And to make matters more tricky,

0:26:08.119 --> 0:26:11.919
<v Speaker 1>the computer wasn't returning a guaranteed right answer. The computer

0:26:12.000 --> 0:26:14.919
<v Speaker 1>had to come to a judgment on how confident it

0:26:15.119 --> 0:26:17.600
<v Speaker 1>was that the answer it had arrived at was the

0:26:17.640 --> 0:26:21.840
<v Speaker 1>correct one. If the confidence met a certain threshold, then

0:26:21.920 --> 0:26:25.520
<v Speaker 1>Watson would submit an answer. If it did not meet

0:26:25.560 --> 0:26:29.600
<v Speaker 1>that threshold, Watson would remain silent. It's a remarkable achievement,

0:26:29.880 --> 0:26:32.320
<v Speaker 1>and it has lots of potential applications, many of which

0:26:32.359 --> 0:26:36.280
<v Speaker 1>are actually in action today, but it's still not quite

0:26:36.440 --> 0:26:39.399
<v Speaker 1>at the level of a machine thinking like a human,

0:26:39.480 --> 0:26:41.720
<v Speaker 1>and I don't think anyone at IBM would suggest that

0:26:41.800 --> 0:26:45.840
<v Speaker 1>it possesses any sense of consciousness. When we come back,

0:26:46.000 --> 0:26:49.800
<v Speaker 1>i'll talk about a famous thought experiment that really starts

0:26:49.800 --> 0:26:53.680
<v Speaker 1>to examine whether or not machines could ever attain intelligence

0:26:53.760 --> 0:27:04.480
<v Speaker 1>and consciousness. But first, let's take another quick break. And

0:27:04.640 --> 0:27:09.359
<v Speaker 1>now this brings me to a famous thought experiment proposed

0:27:09.480 --> 0:27:13.320
<v Speaker 1>by John Searle, a philosopher who questioned whether we could

0:27:13.320 --> 0:27:16.919
<v Speaker 1>say a machine, even one so proficient that could deliver

0:27:17.040 --> 0:27:22.119
<v Speaker 1>reliable answers on demand, would ever truly be intelligent, at

0:27:22.200 --> 0:27:25.119
<v Speaker 1>least on a level similar to what we humans identify

0:27:25.520 --> 0:27:30.400
<v Speaker 1>as being intelligent. It's called the Chinese room argument, which

0:27:30.520 --> 0:27:35.800
<v Speaker 1>Searle included in his article titled Minds, Brains, and Programs

0:27:35.920 --> 0:27:40.120
<v Speaker 1>for the Behavioral and Brain Sciences Journal. Here's the premise

0:27:40.520 --> 0:27:44.000
<v Speaker 1>of the thought experiment. Imagine that you are in a

0:27:44.080 --> 0:27:47.520
<v Speaker 1>simple room. The room has a table and a chair.

0:27:48.080 --> 0:27:52.000
<v Speaker 1>There's a ream of blank paper, there's a brush, there's

0:27:52.040 --> 0:27:55.600
<v Speaker 1>some ink, and there's also a large book within the

0:27:55.680 --> 0:27:59.359
<v Speaker 1>room that contains pairs of Chinese symbols in the book.

0:27:59.800 --> 0:28:02.320
<v Speaker 1>Oh and we also have to imagine that you don't

0:28:02.440 --> 0:28:06.800
<v Speaker 1>understand or recognize these Chinese symbols. They mean nothing to you.

0:28:07.440 --> 0:28:09.960
<v Speaker 1>There's also a door to the room, and the door

0:28:10.040 --> 0:28:13.119
<v Speaker 1>has a mail slot, and every now and again someone

0:28:13.160 --> 0:28:16.000
<v Speaker 1>slides a piece of paper through the slot. The piece

0:28:16.040 --> 0:28:19.600
<v Speaker 1>of paper has one of those Chinese symbols printed on it.

0:28:20.119 --> 0:28:22.639
<v Speaker 1>And it's your job to go through the book and

0:28:22.760 --> 0:28:26.520
<v Speaker 1>find the matching symbol in the book plus the corresponding

0:28:26.600 --> 0:28:29.479
<v Speaker 1>symbol in the pair, because remember I said there were

0:28:29.480 --> 0:28:33.000
<v Speaker 1>symbols that were paired together. You then take a blank

0:28:33.000 --> 0:28:37.800
<v Speaker 1>sheet of paper, You draw the corresponding symbol from that

0:28:38.000 --> 0:28:41.400
<v Speaker 1>pair onto the sheet of paper, and finally you slip

0:28:41.480 --> 0:28:44.600
<v Speaker 1>that piece of paper through the mail slot, presumably to

0:28:44.680 --> 0:28:47.400
<v Speaker 1>the person who gave you the first piece of paper

0:28:47.760 --> 0:28:50.600
<v Speaker 1>and the original part of this problem. So to an

0:28:50.640 --> 0:28:54.200
<v Speaker 1>outside observer, let's say it's actually the person who's slipping

0:28:54.280 --> 0:28:57.280
<v Speaker 1>the piece of paper to you, it would seem that

0:28:57.360 --> 0:29:03.200
<v Speaker 1>whomever is inside the door understands Chinese symbols. They can

0:29:03.280 --> 0:29:09.400
<v Speaker 1>recognize the significance of whatever symbol was contributed, was sent

0:29:09.520 --> 0:29:11.960
<v Speaker 1>in through the mail slot, and then match it to

0:29:12.080 --> 0:29:15.920
<v Speaker 1>whatever the corresponding data is for that particular symbol, and

0:29:15.960 --> 0:29:19.240
<v Speaker 1>then return that to the user. So to the outside observer,

0:29:19.560 --> 0:29:23.160
<v Speaker 1>it appears as though whatever is inside the room comprehends

0:29:23.200 --> 0:29:27.320
<v Speaker 1>what it is doing. But argues Serle, that's only an

0:29:27.360 --> 0:29:31.880
<v Speaker 1>illusion because the person inside the room doesn't know what

0:29:31.960 --> 0:29:35.680
<v Speaker 1>any of those symbols actually means. So if this is you,

0:29:35.680 --> 0:29:39.720
<v Speaker 1>you have no context. You don't know what any individual

0:29:39.760 --> 0:29:44.200
<v Speaker 1>symbol stands for, nor do you understand why any symbol

0:29:44.240 --> 0:29:47.040
<v Speaker 1>would be prepared with any other symbol. You don't know

0:29:47.120 --> 0:29:50.120
<v Speaker 1>the reasoning behind that. All you have is a book

0:29:50.160 --> 0:29:53.320
<v Speaker 1>of rules, But the rules only state what your response

0:29:53.440 --> 0:29:57.480
<v Speaker 1>should be given a specific input. The rules don't tell

0:29:57.520 --> 0:30:00.720
<v Speaker 1>you why, either on a granular level of what the

0:30:00.760 --> 0:30:03.840
<v Speaker 1>symbols actually mean, or on a larger scale when it

0:30:03.840 --> 0:30:07.720
<v Speaker 1>comes to what you're actually accomplishing in this endeavor. All

0:30:07.760 --> 0:30:10.840
<v Speaker 1>you are doing is filling a physical action over and

0:30:10.960 --> 0:30:14.240
<v Speaker 1>over based on a set of rules you don't understand.

0:30:14.680 --> 0:30:17.600
<v Speaker 1>And Searrele then uses this argument to say that essentially

0:30:17.800 --> 0:30:20.760
<v Speaker 1>we have to think the same way about machines. The

0:30:20.760 --> 0:30:24.920
<v Speaker 1>machines process information based on the input they receive and

0:30:25.000 --> 0:30:28.920
<v Speaker 1>the program that they are following. That's it. They don't

0:30:28.920 --> 0:30:33.560
<v Speaker 1>have awareness or understanding of what the information is. Searle

0:30:33.680 --> 0:30:37.240
<v Speaker 1>was taking aim at a particular concept in AI, often

0:30:37.320 --> 0:30:41.200
<v Speaker 1>dubbed strong AI or general AI. It's a sort of

0:30:41.280 --> 0:30:46.000
<v Speaker 1>general artificial intelligence. So it's something that we could or

0:30:46.080 --> 0:30:49.640
<v Speaker 1>would compare directly to human intelligence, even if it didn't

0:30:49.680 --> 0:30:53.320
<v Speaker 1>work the same way as our intelligence works. The argument

0:30:53.400 --> 0:30:55.840
<v Speaker 1>is that the capacity and the outcomes would be similar

0:30:55.960 --> 0:30:58.600
<v Speaker 1>enough for us to make the comparison. This is the

0:30:58.640 --> 0:31:03.040
<v Speaker 1>type of intelligence that we see in science fiction doomsday scenarios,

0:31:03.240 --> 0:31:06.880
<v Speaker 1>where the machines have rebelled against humans, or the machines

0:31:06.920 --> 0:31:11.240
<v Speaker 1>appear to misinterpret simple requests, or the machines come to

0:31:11.280 --> 0:31:16.680
<v Speaker 1>conclusions that, while logically sound, spell doom for us all.

0:31:16.840 --> 0:31:19.880
<v Speaker 1>The classic example of this, by the way, is appealing

0:31:19.920 --> 0:31:23.200
<v Speaker 1>to a super smart artificial intelligence and you say, could

0:31:23.240 --> 0:31:26.400
<v Speaker 1>you please bring about world peace because we're all sorts

0:31:26.400 --> 0:31:30.000
<v Speaker 1>of messed up, and the intelligence processes this and then

0:31:30.080 --> 0:31:34.280
<v Speaker 1>concludes that while there are at least two humans, there

0:31:34.320 --> 0:31:36.800
<v Speaker 1>can never be a guarantee for peace because there's always

0:31:36.800 --> 0:31:41.920
<v Speaker 1>the opportunity for disagreement and violence between two humans. And

0:31:42.000 --> 0:31:45.480
<v Speaker 1>so to achieve true piece, the computer then goes on

0:31:45.800 --> 0:31:48.880
<v Speaker 1>a killing spree to wipe out all of humanity. Now,

0:31:48.920 --> 0:31:53.600
<v Speaker 1>Cyril is not necessarily saying that computers won't contribute to

0:31:53.680 --> 0:31:57.360
<v Speaker 1>a castrophic outcome for humanity. Instead, he's saying they're not

0:31:57.480 --> 0:32:01.600
<v Speaker 1>actually thinking or processing information in a truly intelligent way.

0:32:02.040 --> 0:32:05.600
<v Speaker 1>They are arriving in outcomes through a series of processes

0:32:05.840 --> 0:32:09.160
<v Speaker 1>that might appear to be intelligent at first glance, but

0:32:09.200 --> 0:32:12.200
<v Speaker 1>when you break them down, it all reveals themselves to

0:32:12.240 --> 0:32:16.160
<v Speaker 1>be nothing more than a very complex series of mathematical processes.

0:32:16.320 --> 0:32:19.320
<v Speaker 1>You could even break it down further into binary and

0:32:19.400 --> 0:32:22.920
<v Speaker 1>say that ultimately, each apparent decision would just be a

0:32:22.960 --> 0:32:26.760
<v Speaker 1>particular sequence of switches that are in the on or

0:32:26.800 --> 0:32:30.480
<v Speaker 1>off position, and the status of each switch would be

0:32:30.520 --> 0:32:33.440
<v Speaker 1>determined by the input and the program you were running,

0:32:33.680 --> 0:32:39.360
<v Speaker 1>not some intelligent artificial creation that is reasoning through a problem. Essentially,

0:32:39.680 --> 0:32:46.040
<v Speaker 1>Serle's argument boils down to the difference between syntax and semantics.

0:32:46.760 --> 0:32:49.880
<v Speaker 1>Syntax would be the set of rules that you would

0:32:49.920 --> 0:32:54.080
<v Speaker 1>follow with those symbols. For example, in English, the letter

0:32:54.200 --> 0:32:58.320
<v Speaker 1>Q is nearly always followed by the letter you. The

0:32:58.640 --> 0:33:02.960
<v Speaker 1>few exceptions to this rule mostly involve romanizing words from

0:33:03.000 --> 0:33:07.560
<v Speaker 1>other language in which the letter Q represents a sound

0:33:07.640 --> 0:33:12.360
<v Speaker 1>that's not natively present in English. So you could program

0:33:12.400 --> 0:33:15.120
<v Speaker 1>a machine to follow the basic rule that the symbol

0:33:15.200 --> 0:33:18.680
<v Speaker 1>Q should be followed by the symbol you, assuming you're

0:33:18.720 --> 0:33:22.160
<v Speaker 1>eliminating all those exceptions I just mentioned. But that doesn't

0:33:22.240 --> 0:33:26.920
<v Speaker 1>lead to a grasp of semantics, which is actual meaning. Moreover,

0:33:27.200 --> 0:33:30.440
<v Speaker 1>Searle asserts that it's impossible to come to a of

0:33:30.480 --> 0:33:34.800
<v Speaker 1>semantics merely through a mastery of syntax. You might know

0:33:34.960 --> 0:33:39.640
<v Speaker 1>those rules flawlessly, but Searle argues, you still wouldn't understand

0:33:39.800 --> 0:33:42.640
<v Speaker 1>why there are rules, or what the output of those

0:33:42.760 --> 0:33:46.760
<v Speaker 1>rules means, or even what the input means. There are

0:33:46.760 --> 0:33:50.440
<v Speaker 1>some general counter arguments that philosophers have made to Searle's

0:33:50.480 --> 0:33:55.040
<v Speaker 1>thought experiment, and according to the Stanford Encyclopedia of Philosophy,

0:33:55.120 --> 0:34:00.560
<v Speaker 1>which is a phenomenal resource, it's also incredibly dense. But

0:34:00.880 --> 0:34:04.760
<v Speaker 1>these counter arguments tend to fall into three groups. The

0:34:04.800 --> 0:34:08.040
<v Speaker 1>first group agrees with Cerle that the person inside the

0:34:08.120 --> 0:34:12.080
<v Speaker 1>room clearly has no understanding of the Chinese symbols. But

0:34:12.160 --> 0:34:15.719
<v Speaker 1>the group counters the notion that this system as a

0:34:15.719 --> 0:34:18.400
<v Speaker 1>whole can't understand it. In fact, they say the opposite.

0:34:18.400 --> 0:34:21.240
<v Speaker 1>They say, yes, the person inside the room doesn't understand,

0:34:21.320 --> 0:34:26.400
<v Speaker 1>but you're looking at a specific component of a larger system.

0:34:26.600 --> 0:34:29.880
<v Speaker 1>And if we consider the system, or maybe a virtual

0:34:30.000 --> 0:34:34.759
<v Speaker 1>mind that exists due to the system that does have

0:34:34.800 --> 0:34:38.080
<v Speaker 1>an understanding, this is sort of like saying a neuron

0:34:38.280 --> 0:34:42.400
<v Speaker 1>in the brain doesn't understand anything. It sends along signals

0:34:42.400 --> 0:34:47.000
<v Speaker 1>that collectively and through mechanisms, we don't fully understand become

0:34:47.160 --> 0:34:50.720
<v Speaker 1>thoughts that we can become conscious of. So in this argument,

0:34:50.880 --> 0:34:53.200
<v Speaker 1>the person in the room is just a component of

0:34:53.239 --> 0:34:56.560
<v Speaker 1>an overall system, and the system possesses intelligence even if

0:34:56.600 --> 0:35:00.120
<v Speaker 1>the component does not. The second group argues that but

0:35:00.160 --> 0:35:03.680
<v Speaker 1>if the computer system either could simulate the operation of

0:35:03.719 --> 0:35:07.799
<v Speaker 1>a brain, perhaps with billions of nodes, approaching the complexity

0:35:07.840 --> 0:35:11.080
<v Speaker 1>of a human brain with billions of neurons, or if

0:35:11.080 --> 0:35:14.400
<v Speaker 1>the system were to inhabit a robotic body that could

0:35:14.480 --> 0:35:18.480
<v Speaker 1>have direct interaction with its environment, then the system could

0:35:18.480 --> 0:35:23.800
<v Speaker 1>manifest intelligence. The third group rejects Searle's arguments more thoroughly

0:35:24.160 --> 0:35:28.560
<v Speaker 1>and on the basis of various grounds, ranging from Searle's

0:35:28.560 --> 0:35:31.719
<v Speaker 1>experiment being too narrow in scope to an argument about

0:35:31.719 --> 0:35:35.799
<v Speaker 1>what the word understand actually means. This is where things

0:35:35.840 --> 0:35:38.680
<v Speaker 1>get a bit more loosey goosey, And sometimes I feel

0:35:38.719 --> 0:35:42.719
<v Speaker 1>like arguments in this group amount to oh yeah, but again,

0:35:42.760 --> 0:35:45.760
<v Speaker 1>I'm pragmatic, so I tend to have a pretty strong

0:35:45.880 --> 0:35:49.480
<v Speaker 1>bias against these arguments, and I recognize that this means

0:35:49.560 --> 0:35:53.239
<v Speaker 1>I'm not giving them fair consideration because of those biases.

0:35:53.760 --> 0:35:56.440
<v Speaker 1>A few of these arguments take issue with Searle's assertion

0:35:56.560 --> 0:36:01.719
<v Speaker 1>that one cannot grasp semantics through an understanding syntax. And

0:36:01.760 --> 0:36:05.800
<v Speaker 1>here's something that I find really interesting. Searle originally published

0:36:05.800 --> 0:36:09.840
<v Speaker 1>this argument way back in nineteen eighty. It's been nearly

0:36:10.000 --> 0:36:13.440
<v Speaker 1>forty years since he first proposed it, and to this

0:36:13.680 --> 0:36:17.160
<v Speaker 1>day there is no consensus on whether or not his

0:36:17.400 --> 0:36:20.720
<v Speaker 1>argument is sound. So why is that? Well, it's because,

0:36:20.760 --> 0:36:24.080
<v Speaker 1>as I've covered in this episode, the concepts of intelligence

0:36:24.160 --> 0:36:28.520
<v Speaker 1>and more to the point, consciousness are whibley wobbly, though

0:36:28.880 --> 0:36:31.960
<v Speaker 1>not as far as I can tell, timey whymy. When

0:36:32.000 --> 0:36:36.800
<v Speaker 1>we can't even nail down specific definitions for words like understand,

0:36:37.239 --> 0:36:40.160
<v Speaker 1>it becomes difficult to even tell when we're agreeing or

0:36:40.200 --> 0:36:43.760
<v Speaker 1>disagreeing on certain topics. It could be that while people

0:36:43.840 --> 0:36:47.320
<v Speaker 1>are in a debate and are using words in different ways,

0:36:47.560 --> 0:36:50.400
<v Speaker 1>it turns out they're actually in agreement with one another.

0:36:50.920 --> 0:36:55.759
<v Speaker 1>Such is the messiness that is intelligence. Further, we've not

0:36:55.840 --> 0:36:58.919
<v Speaker 1>yet observed anything in the machine world that seems, upon

0:36:59.000 --> 0:37:03.480
<v Speaker 1>closer examination and to reflect true intelligence and consciousness, at

0:37:03.560 --> 0:37:06.840
<v Speaker 1>least as the way we experience it. In fact, we

0:37:06.880 --> 0:37:10.040
<v Speaker 1>can't say that we've seen any artificial constructs that have

0:37:10.160 --> 0:37:13.680
<v Speaker 1>experienced anything, because, as far as we know, no such

0:37:13.719 --> 0:37:17.960
<v Speaker 1>device has any awareness of itself. Now, I'm not sure

0:37:18.320 --> 0:37:21.400
<v Speaker 1>if we'll ever create a machine that will have true

0:37:21.400 --> 0:37:25.279
<v Speaker 1>intelligence and consciousness, using the word true here to mean

0:37:25.520 --> 0:37:29.240
<v Speaker 1>human like. Now, I feel pretty confident that if it

0:37:29.360 --> 0:37:33.319
<v Speaker 1>is possible, we will get around to it eventually. It

0:37:33.400 --> 0:37:37.120
<v Speaker 1>might take way more resources than we currently estimate, or

0:37:37.120 --> 0:37:40.560
<v Speaker 1>maybe it will just require a different computational approach, maybe

0:37:40.560 --> 0:37:44.960
<v Speaker 1>it'll rely on bleeding edge technologies like quantum computing. I

0:37:44.960 --> 0:37:48.520
<v Speaker 1>figure if it's something we can do, we will do it.

0:37:48.520 --> 0:37:52.399
<v Speaker 1>It's just a question of time, really, and further, it's

0:37:52.480 --> 0:37:55.439
<v Speaker 1>hard for me to come to a conclusion other than

0:37:55.560 --> 0:38:00.799
<v Speaker 1>it will ultimately prove possible to make an intelligent, conscious construct.

0:38:01.280 --> 0:38:05.120
<v Speaker 1>Now I believe that because I believe our own intelligence

0:38:05.239 --> 0:38:09.560
<v Speaker 1>and our own consciousness is firmly rooted in our brains.

0:38:10.280 --> 0:38:13.680
<v Speaker 1>I don't think there's anything mystical involved. And while we

0:38:13.719 --> 0:38:16.000
<v Speaker 1>don't have a full picture of how it happens in

0:38:16.040 --> 0:38:19.440
<v Speaker 1>our brains, we at least know that it does happen,

0:38:19.880 --> 0:38:22.080
<v Speaker 1>and we know some of the questions to ask and

0:38:22.200 --> 0:38:25.439
<v Speaker 1>have some ideas on how to search for answers. It's

0:38:25.440 --> 0:38:28.080
<v Speaker 1>not a complete picture, and we still have a very

0:38:28.120 --> 0:38:30.359
<v Speaker 1>long way to go, but I think it's if it's

0:38:30.440 --> 0:38:33.440
<v Speaker 1>possible to build a full understanding of how our brains

0:38:33.520 --> 0:38:37.600
<v Speaker 1>work with regard to intelligence and consciousness, we'll get there too,

0:38:37.640 --> 0:38:42.680
<v Speaker 1>sooner or later, probably later. I suppose there's still the

0:38:42.800 --> 0:38:47.520
<v Speaker 1>chance that we could create an intelligent and or conscious

0:38:47.640 --> 0:38:52.120
<v Speaker 1>machine just by luck or accident. And while I intuitively

0:38:52.320 --> 0:38:55.600
<v Speaker 1>feel that this is unlikely, I have to admit that

0:38:55.680 --> 0:39:00.480
<v Speaker 1>intuition isn't really reliable in these matters. It feels to

0:39:00.560 --> 0:39:04.200
<v Speaker 1>me like it is the longest of long shots, but

0:39:04.280 --> 0:39:06.960
<v Speaker 1>that's entirely based on the fact that we haven't managed

0:39:07.000 --> 0:39:11.000
<v Speaker 1>to do it up until now, and including now. Maybe

0:39:11.040 --> 0:39:13.520
<v Speaker 1>the right sequence of events is right around the corner.

0:39:14.120 --> 0:39:17.759
<v Speaker 1>Just because it hasn't happened yet doesn't mean it can't

0:39:17.880 --> 0:39:21.440
<v Speaker 1>or won't happen at all. And it's good to remember

0:39:21.719 --> 0:39:26.280
<v Speaker 1>that machines don't need to be particularly intelligent or conscious

0:39:26.600 --> 0:39:31.160
<v Speaker 1>to be useful or potentially dangerous. We can see examples

0:39:31.200 --> 0:39:33.680
<v Speaker 1>of that playing out already with devices that have some

0:39:33.800 --> 0:39:37.759
<v Speaker 1>limited or weak AI. And by limited I mean it's

0:39:37.920 --> 0:39:41.720
<v Speaker 1>not general intelligence. I don't mean that the AI itself

0:39:41.760 --> 0:39:45.880
<v Speaker 1>is somehow unsophisticated or primitive, so it may not even matter.

0:39:46.200 --> 0:39:49.440
<v Speaker 1>If we never create devices that have true or human

0:39:49.640 --> 0:39:52.920
<v Speaker 1>like intelligence, we might be able to accomplish just as

0:39:52.960 --> 0:39:57.080
<v Speaker 1>much with something that does not have those capabilities. And

0:39:57.120 --> 0:40:01.040
<v Speaker 1>in other words, this is a very complicated top one

0:40:01.080 --> 0:40:04.160
<v Speaker 1>that I think gets oversimplified, and a lot of fiction

0:40:04.600 --> 0:40:09.960
<v Speaker 1>and also just a lot of speculative prognostications about the future.

0:40:10.000 --> 0:40:13.200
<v Speaker 1>I mean, you'll see a lot of videos about how

0:40:13.520 --> 0:40:17.000
<v Speaker 1>in the future AI is going to perform a more

0:40:17.040 --> 0:40:20.400
<v Speaker 1>intrinsic role, or maybe it'll be an existential threat to

0:40:20.480 --> 0:40:23.480
<v Speaker 1>humanity or whatever it may be. And I think a

0:40:23.520 --> 0:40:28.560
<v Speaker 1>lot of that is predicated upon a deep misunderstanding or

0:40:28.640 --> 0:40:33.680
<v Speaker 1>underestimation of how complicated cognitive neuroscience actually is and how

0:40:33.760 --> 0:40:37.680
<v Speaker 1>little we really understand when it comes to our own consciousness,

0:40:37.800 --> 0:40:40.640
<v Speaker 1>let alone how we would bring about such a thing

0:40:40.840 --> 0:40:46.000
<v Speaker 1>in a different device. I hope you enjoyed that rerun,

0:40:46.239 --> 0:40:49.120
<v Speaker 1>and as always, I also hope that you are all

0:40:49.200 --> 0:40:52.360
<v Speaker 1>well and I will talk to you again really soon.

0:40:58.440 --> 0:41:02.120
<v Speaker 1>Tech Stuff is an Iheartreate Radio production. For more podcasts

0:41:02.160 --> 0:41:06.640
<v Speaker 1>from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or wherever

0:41:06.680 --> 0:41:08.240
<v Speaker 1>you listen to your favorite shows.