WEBVTT - What does artificial intelligence mean?

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<v Speaker 1>Brought to you by the reinvented two thousand twelve camera.

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<v Speaker 1>It's ready. Are you get in touch with technology with

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<v Speaker 1>tech Stuff from how stuff works dot com. You've heard

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<v Speaker 1>the rumors before, perhaps and whispers written between the lines

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<v Speaker 1>of the textbooks. Conspiracies, paranormal events, all those things that

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<v Speaker 1>disappear from the official explanations. Tune in and learn more

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<v Speaker 1>of the stuff they don't want you to know in

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<v Speaker 1>this video podcast from how stuff works dot com. Hello everybody,

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<v Speaker 1>and welcome to tech stuff. My name is Chris Pouette,

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<v Speaker 1>and I'm the tech editor here at how stuff works

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<v Speaker 1>dot com. Sitting across from me as usual, is Senior

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<v Speaker 1>Ryan Jonathan Strickland's up, y'all very nice, changed up a

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<v Speaker 1>little bit, Okay, I'm fine with that. So before we

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<v Speaker 1>get started, I just wanted to mentioned something. I saw

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<v Speaker 1>this email going out about a new show that's coming

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<v Speaker 1>up on the Science Channel. Yeah, it's called The Road

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<v Speaker 1>to Punkin Chunkin. And then immediately it's followed by punkin Chunkin.

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<v Speaker 1>Oh yeah, yeah, yeah, you saw this email too. Yeah.

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<v Speaker 1>It's a Thanksgiving night here in the United States, so yeah,

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<v Speaker 1>starts at eight. That's the Road to Punkin Chunkin, followed

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<v Speaker 1>by Punkin Chunkin at nine. And if you don't know

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<v Speaker 1>what this is about, it's really about designing machines that

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<v Speaker 1>can throw a pumpkin a really far distance. Yeah yeah, yeah, yeah.

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<v Speaker 1>They used to do that with with tribute sches and

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<v Speaker 1>stuff like that, but now they have these air powered cannons. Yeah,

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<v Speaker 1>it's gonna be pretty crazy. So, uh, you should definitely

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<v Speaker 1>check it out. I'm gonna be watching it myself. I

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<v Speaker 1>think there's nothing I like more than a little pumpkin destruction. Awesome. Well,

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<v Speaker 1>so what are we gonna talk about today? Today's topic

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<v Speaker 1>comes to us courtesy of a little listener mail. Well,

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<v Speaker 1>all right, then this is list Your mail comes from

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<v Speaker 1>our ninth grader listener named Alexandra. I'm sure we have

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<v Speaker 1>other ninth graders, but this one in particular road to us.

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<v Speaker 1>Thank you, Alexandra, and here is the message. Hey you guys,

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<v Speaker 1>I have a suggestion for a topic, Artificial intelligence. My

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<v Speaker 1>favorite show is Night Writer two thousand eight. Kit the

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<v Speaker 1>Talking Car is said to have the most advanced AI

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<v Speaker 1>in the world. Is AI in cars and other devices

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<v Speaker 1>coming soon? Will they have personalities? Thanks for a great podcast.

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<v Speaker 1>P s. I like the eighties Night Writer too. So

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<v Speaker 1>you're talking about night Writer, you're talking about KIT, which

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<v Speaker 1>of course is the Night Industries two thousand artificially intelligent car.

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<v Speaker 1>By the way, do you remember what Kit's arch nemesis

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<v Speaker 1>car was called? Oh, we'll see I now now. I

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<v Speaker 1>didn't remember what it stood for. I knew that it

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<v Speaker 1>was car, Yes, Car K A r R. It stands

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<v Speaker 1>for Night Automated Roving Robot. Do you remember the main

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<v Speaker 1>character's name? Besides Kit and Night Writer met the main

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<v Speaker 1>character Michael, Yes, Michael Night. Who do you remember what

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<v Speaker 1>his name was before became Michael Knight? Oh? No, actually

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<v Speaker 1>I don't. Michael Arthur Long undercover agents shot in the face.

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<v Speaker 1>He had to be rehabilitated. They rebuilt his face, gave

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<v Speaker 1>it David Hasselhoss face for some reason. He's huge in

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<v Speaker 1>Germany and U. He became Michael Knight because it was

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<v Speaker 1>Night Industries. Did I just have one question for you?

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<v Speaker 1>Did you did you look that up? Or did you

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<v Speaker 1>know that off the top of your head? I wrote

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<v Speaker 1>all that down from memory. I like Alexandra, I was

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<v Speaker 1>a bit of a fan of the nineteen eighties night Writers. Well,

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<v Speaker 1>I thought I was, but apparently I was a lower

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<v Speaker 1>case F fan and not an upper case I also

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<v Speaker 1>wanted to throw out throw out the phrase I was saying,

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<v Speaker 1>the the little joke I made to you before we

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<v Speaker 1>started recording this podcast, Michael, let's drive to Congress and

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<v Speaker 1>if any of you know why I said it that

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<v Speaker 1>way and what the whole Congress thing is, reference to

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<v Speaker 1>write me tech stuff at how stuff works dot com.

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<v Speaker 1>First person to get it right gets a kudos. Just

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<v Speaker 1>not a granola bar. Not a granola bar. I mean,

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<v Speaker 1>if I encounter you on the street and I happen

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<v Speaker 1>to have a granola bar, I will be happy to

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<v Speaker 1>hand it over to you. If I don't have a

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<v Speaker 1>granola bar, we're kind of ada luck on that one.

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<v Speaker 1>So this brings us to our topic granola bars. No,

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<v Speaker 1>I'm sorry, artificial intelligence. I got off on a tangent there,

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<v Speaker 1>So artificial intelligence now, she asked, is artificial intelligence coming

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<v Speaker 1>to other devices and cars as well? And will they

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<v Speaker 1>have personalities? Um, here's the interesting thing about artificial intelligence.

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<v Speaker 1>The definition is somewhat vague. For example, Chris, how would

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<v Speaker 1>you define artificial intelligence? I mean, nope, there are no

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<v Speaker 1>right or wrong answers. Just when you hear the term,

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<v Speaker 1>what is it that you think of? Well, you know,

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<v Speaker 1>of course there's the movie Okay, yes, there's the film

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<v Speaker 1>that was started by Stanley Kubrick completed by Steven Spielberg

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<v Speaker 1>that lasted thirty minut it's too long and should have

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<v Speaker 1>ended with a Little Boy in the Ocean spoiler alert.

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<v Speaker 1>But beyond that, you know this, This is the effect

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<v Speaker 1>of Odyssey of the Mind on my brain, because I'm

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<v Speaker 1>trained to think of everything but the actual answer, Um, no,

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<v Speaker 1>I want I When I think of artificial intelligence, um,

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<v Speaker 1>you know, actually, one of the first things that comes

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<v Speaker 1>to mind is games because people talk about the AI

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<v Speaker 1>in a particular game, all the AI and this game

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<v Speaker 1>is really good. Yeah, and uh, you know of course

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<v Speaker 1>robots mostly androids, things like that. Yeah, but yeah, I

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<v Speaker 1>mean those things and and and walking talking. You know.

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<v Speaker 1>It's always the movie version of our official intelligence where

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<v Speaker 1>there's you know, something and of course it's evil. It's

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<v Speaker 1>usually evil example, you know, and it's thinking, and it's

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<v Speaker 1>it's decided that we're irrelevant and it's going to kill

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<v Speaker 1>us all. I mean that, isn't it nice? It's pretty

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<v Speaker 1>much gonna happen. But no, no, no, so here's here's

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<v Speaker 1>here's my ulswer. Yeah, but to know that it's coming

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<v Speaker 1>and it will kill me. Yes, my Hunter Civic will

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<v Speaker 1>eventually do me in. Um No, here's what I think

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<v Speaker 1>of when I think artificial intelligence. I think of a

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<v Speaker 1>an artificial construct. So some sort of man made thing

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<v Speaker 1>that is capable of sensing its environment, reacting to its environment,

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<v Speaker 1>and learning from its experiences. Now, to me, the learning

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<v Speaker 1>part is the most important because if it's if it's

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<v Speaker 1>only taking in it's uh, you know, some sort of

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<v Speaker 1>sensory input and then reacting to it, there's not really

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<v Speaker 1>any thinking going on there. I mean, essentially, you're just

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<v Speaker 1>it's it's stimulus response, right, Yeah, And that's pretty much

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<v Speaker 1>how I carry out my day. I just some of

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<v Speaker 1>us are a little higher functioning than Chris, and we

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<v Speaker 1>we occasionally spare a thought or two for something. Um No,

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<v Speaker 1>Chris is actually a very intelligent person. I I people

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<v Speaker 1>get on to me about picking on you. You know that, right,

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<v Speaker 1>I don't. Chris and I are actually good buddies here. Yeah, yeah,

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<v Speaker 1>so at any rate, at any rate, So yeah, I think, uh,

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<v Speaker 1>I think learning is an important element in artificial intelligence,

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<v Speaker 1>so that not only are you able to react to

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<v Speaker 1>something that's in your environment, but you learn from that

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<v Speaker 1>experience and you are able to handle similar experiences in

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<v Speaker 1>a better way in the future. So, for example, you

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<v Speaker 1>encounter if if you have an artificially intelligent construct that

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<v Speaker 1>is UH susceptible to melting and it encounters a heat

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<v Speaker 1>source that is higher than it's melting point, and it

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<v Speaker 1>detects this and then backs away and then has to

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<v Speaker 1>try and UH factor in a route around this heat

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<v Speaker 1>source so that it can continue doing whatever it was

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<v Speaker 1>it was doing beforehand. UM. After encountering that, it might

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<v Speaker 1>be able to build on that experience and be able

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<v Speaker 1>to solve a similar problem in half the time, and

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<v Speaker 1>ideally you have this increminal improvement. UM. It's also called

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<v Speaker 1>self recursive improvement, where you have an experience, you learn

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<v Speaker 1>from it, and you are able to do it more

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<v Speaker 1>efficiently or effectively, however you want to quantify it in

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<v Speaker 1>the future. So right now, using that definition, we don't

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<v Speaker 1>really have a truly good example of artificial intelligence. There's

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<v Speaker 1>some that are really close, UM, but there's nothing out

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<v Speaker 1>there that's that's like a computer that can understand how

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<v Speaker 1>computers work and therefore design its own successor to be

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<v Speaker 1>a more powerful version of itself. So um, yeah, no, uh,

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<v Speaker 1>what was the computer in Hitchhiker's Guide Deep Thought? So

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<v Speaker 1>deep Thought? Yeah, deep Thought? And uh in Hitticker's Guide

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<v Speaker 1>to the Galaxy, there's this computer called deep Thought that

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<v Speaker 1>is so intelligent that it is able to come up

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<v Speaker 1>with the answer to life, the universe, and everything. It

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<v Speaker 1>is not able to come up with the question it's

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<v Speaker 1>the answer to a question, but it's not. But it

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<v Speaker 1>can actually get the question. To get the question, it

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<v Speaker 1>has to build a computer even smarter than itself, but

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<v Speaker 1>it's able to do that. So it can't solve the problem,

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<v Speaker 1>but it can build a tool that can solve the

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<v Speaker 1>problem that ends up being the planet Earth in that

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<v Speaker 1>in that series of books. Now, that's actually an idea

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<v Speaker 1>that's being explored in computer science. It's an idea of

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<v Speaker 1>can we build a machine that can understand how machines

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<v Speaker 1>work and therefore build a better version of the machine

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<v Speaker 1>because it can make these calculations far faster and more

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<v Speaker 1>effectively than any human can. And once you reach that point,

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<v Speaker 1>that's when we hit what we've We've talked about this

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<v Speaker 1>in the past. We've talked about in another podcast. But

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<v Speaker 1>the singularity, which is where you've reached the point where

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<v Speaker 1>machines or or even humans. It doesn't have to be

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<v Speaker 1>a machine. It could be like somehow we have biologically

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<v Speaker 1>altered ourselves so that we can do this to ourselves.

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<v Speaker 1>But we the improvements come so quickly that uh, that

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<v Speaker 1>there's no way to distinguish one moment from the next

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<v Speaker 1>as far as technological advancement goes, because it's just going

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<v Speaker 1>easing fast and we've reached a brand new reality, at

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<v Speaker 1>least as far as our perspective is concerned. Uh, to

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<v Speaker 1>the outside observer, it wouldn't be quite the same. And

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<v Speaker 1>I did mention that we have some stuff that's coming close.

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<v Speaker 1>The one I wanted to talk about just mention, uh

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<v Speaker 1>was the Cornell Research um UH project where they had

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<v Speaker 1>the computer that analyzed the pendulum. Do you remember reading

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<v Speaker 1>the story There was a new story. It was back

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<v Speaker 1>earlier this year. There was a group of Cornell computer scientists.

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<v Speaker 1>They had designed a computer and all the computer was

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<v Speaker 1>doing was observing the movements of a pendulum and then

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<v Speaker 1>from those movements working out the laws of physics, so

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<v Speaker 1>it would observe the way the pendulum moved, the speed

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<v Speaker 1>at which it moved, how much it slowed down, and

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<v Speaker 1>it started to work out the laws of thermodynamics. It's

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<v Speaker 1>you know, physical laws, classical physics. And it turned out

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<v Speaker 1>to be really good at it. It didn't get it

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<v Speaker 1>exactly right at the very beginning, but it kept observing

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<v Speaker 1>just like humans would. It kept observing the the phenomena

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<v Speaker 1>and then making guesses and and then testing those guesses,

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<v Speaker 1>throwing out anything that didn't fit over time, and keeping

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<v Speaker 1>everything that did fit, and eventually it was able to

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<v Speaker 1>work out the basic laws of physics. Now that I

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<v Speaker 1>had not read that. That's a pretty cool example of

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<v Speaker 1>artificial intelligence, and the idea that this was able to

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<v Speaker 1>observe something in its environment and draw conclusions from it.

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<v Speaker 1>Um Now, it had been programmed to be able to observe,

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<v Speaker 1>so I mean, it wasn't like it had developed capabilities

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<v Speaker 1>beyond its programming. I think that's another sign of artificial intelligence.

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<v Speaker 1>When you've created something that can go beyond what you

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<v Speaker 1>had originally programmed it for. That's another sign of intelligence.

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<v Speaker 1>You know a lot of people think that used to

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<v Speaker 1>the if you will, the classical definition of artificial intelligence.

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<v Speaker 1>You know, the touring tests. Yes, the Touring tests Alan Touring,

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<v Speaker 1>and I was a little surprised you didn't start with him,

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<v Speaker 1>to be honest, Yeah, I I thought about it, um,

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<v Speaker 1>because this is a when you get to artificial intelligence,

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<v Speaker 1>it really is a philosophical matter. It's not just technological,

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<v Speaker 1>it's not just computer science. It is philosophy. Well, you know, uh,

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<v Speaker 1>when I was doing research for the podcast, I found

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<v Speaker 1>a great resource at Stanford. And it's funny because when

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<v Speaker 1>I think of Alan Touring, I think of computer science,

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<v Speaker 1>but it's actually the Stanford Encyclopedia of Philosophy where I

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<v Speaker 1>encountered his thoughts on artificial intelligence and the imitation game,

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<v Speaker 1>which is the when I think of you know, when

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<v Speaker 1>when I actually read it, that's what I think of

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<v Speaker 1>as the Touring test where they put a machine and

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<v Speaker 1>a human being, um and sort of a blind test

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<v Speaker 1>with someone asking questions, and theoretically the person should be

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<v Speaker 1>able to ask the machine and the person questions and

0:12:51.440 --> 0:12:54.040
<v Speaker 1>they should be able to give answers, and the person

0:12:54.320 --> 0:12:58.400
<v Speaker 1>asking the question would be unable to determine which one

0:12:58.559 --> 0:13:00.840
<v Speaker 1>was real and which one was meant, I mean, which

0:13:00.840 --> 0:13:03.800
<v Speaker 1>one was the machine. It's hard to say when you're

0:13:03.880 --> 0:13:06.440
<v Speaker 1>using the word real is kind of tricky, but yeah,

0:13:06.480 --> 0:13:12.679
<v Speaker 1>I understand which was human and which was a human? Like? Yes, yes,

0:13:12.679 --> 0:13:15.679
<v Speaker 1>which one was human and which one was was a machine? Right?

0:13:15.760 --> 0:13:19.800
<v Speaker 1>So ideally you would have these these the computer and

0:13:19.880 --> 0:13:23.080
<v Speaker 1>the uh the other test subject, the human test subject

0:13:23.440 --> 0:13:26.640
<v Speaker 1>um separated. They would be completely isolated from the person

0:13:26.720 --> 0:13:29.240
<v Speaker 1>asking questions, and at the end of the list of questions,

0:13:29.240 --> 0:13:31.760
<v Speaker 1>you would ask the question er, all right, which one

0:13:31.800 --> 0:13:34.040
<v Speaker 1>was human, which one was computer? And if the questionnaire

0:13:34.120 --> 0:13:41.240
<v Speaker 1>was unable to identify the two roles better than chance.

0:13:41.440 --> 0:13:43.199
<v Speaker 1>So you know, you have to do this test many

0:13:43.240 --> 0:13:46.079
<v Speaker 1>times over right, right. If they were unable to identify

0:13:46.200 --> 0:13:50.200
<v Speaker 1>computer versus human uh to a point where it takes

0:13:50.280 --> 0:13:53.679
<v Speaker 1>chance out of the fact the whole factor, then um,

0:13:54.000 --> 0:13:56.400
<v Speaker 1>you can say that the computer passes the Turing test,

0:13:57.120 --> 0:14:00.120
<v Speaker 1>that the computer is, by all intents and purpose this

0:14:00.240 --> 0:14:06.000
<v Speaker 1>indistinguishable from a human being when it comes to communication. Now, um,

0:14:06.040 --> 0:14:09.000
<v Speaker 1>there have been some touring tests that that sort of

0:14:09.040 --> 0:14:12.560
<v Speaker 1>achieved this in a way, one of them being one

0:14:12.600 --> 0:14:19.240
<v Speaker 1>that focused on um, a computer that simulated the thought

0:14:19.320 --> 0:14:24.760
<v Speaker 1>processes of someone suffering from schizophrenia, and they had a

0:14:24.800 --> 0:14:30.160
<v Speaker 1>group of psychiatrists ask questions over, you know, through text

0:14:30.800 --> 0:14:34.480
<v Speaker 1>um to both a real person and this computer that

0:14:34.520 --> 0:14:38.360
<v Speaker 1>was simulating someone with schizophrenia and something like of them

0:14:38.360 --> 0:14:40.720
<v Speaker 1>weren't able to tell the difference. They weren't able to

0:14:40.960 --> 0:14:43.880
<v Speaker 1>reliably identify which one was computer which one was human.

0:14:43.960 --> 0:14:46.720
<v Speaker 1>So that's a that's right around the chance level, right,

0:14:47.480 --> 0:14:50.240
<v Speaker 1>so that you could say that that computer passes the

0:14:50.240 --> 0:14:52.200
<v Speaker 1>touring test. However, that is of course a very narrow

0:14:52.240 --> 0:14:55.640
<v Speaker 1>set of parameters, and some people have criticized the test

0:14:55.720 --> 0:14:58.440
<v Speaker 1>saying that, okay, but when you're getting to someone who

0:14:59.080 --> 0:15:02.360
<v Speaker 1>is operating on are a set of faculties that are

0:15:02.360 --> 0:15:06.920
<v Speaker 1>not considered the normal set, because schizophrenia is outside the norm,

0:15:07.000 --> 0:15:10.640
<v Speaker 1>then it wouldn't really The computer doesn't need to understand

0:15:10.680 --> 0:15:13.520
<v Speaker 1>what it's saying, right, The computer doesn't have to be

0:15:13.560 --> 0:15:17.320
<v Speaker 1>able to comprehend that the words it's putting together are

0:15:17.440 --> 0:15:21.520
<v Speaker 1>following a certain you know, pattern, are making sense. Um,

0:15:21.720 --> 0:15:24.680
<v Speaker 1>you could just as easily have a jumble of words.

0:15:24.920 --> 0:15:30.720
<v Speaker 1>The computer could randomly pair them up and create nonsensical sentences,

0:15:30.760 --> 0:15:33.680
<v Speaker 1>and it would be almost as effective because you're not

0:15:33.720 --> 0:15:37.800
<v Speaker 1>working with the full set of human faculties. Um. If

0:15:37.800 --> 0:15:43.080
<v Speaker 1>you were, then the presumably the percentage rate of identifying

0:15:43.120 --> 0:15:45.160
<v Speaker 1>the computer versus the human would be much different. You

0:15:45.160 --> 0:15:49.760
<v Speaker 1>would be able to probably accurately describe them, and much

0:15:49.800 --> 0:15:54.800
<v Speaker 1>more often because computers are not terribly good at carrying

0:15:54.840 --> 0:15:57.200
<v Speaker 1>on a truly human conversation, or at least not the

0:15:57.240 --> 0:16:00.600
<v Speaker 1>kind of conversations I have with other humans. Did you

0:16:00.640 --> 0:16:05.480
<v Speaker 1>did you ever here? Did you know of dr Spates? So, uh,

0:16:05.960 --> 0:16:09.600
<v Speaker 1>it's a sound blaster thing. The the old sound blaster

0:16:09.680 --> 0:16:12.120
<v Speaker 1>cards came with a software called dr Spates, So asked

0:16:12.280 --> 0:16:16.000
<v Speaker 1>Dr SPATESO. And it was this computer voice. You could

0:16:16.040 --> 0:16:18.240
<v Speaker 1>type questions to it. It would respond to you. It

0:16:18.240 --> 0:16:22.360
<v Speaker 1>would actually talk to you, and there were times where

0:16:22.440 --> 0:16:25.240
<v Speaker 1>it kind of felt a little uncanny that wow, that

0:16:25.320 --> 0:16:26.880
<v Speaker 1>was actually a really good response. But then it was

0:16:26.920 --> 0:16:29.280
<v Speaker 1>just a database full of responses and it would pick

0:16:29.360 --> 0:16:33.600
<v Speaker 1>whichever one was most likely going to apply to whatever

0:16:33.680 --> 0:16:36.800
<v Speaker 1>question you had typed in, So it wasn't really artificial intelligence.

0:16:36.800 --> 0:16:39.400
<v Speaker 1>But I remember that was probably my first encounter in

0:16:39.520 --> 0:16:43.840
<v Speaker 1>a personal level, apart from the movies. Well, one of

0:16:43.840 --> 0:16:46.240
<v Speaker 1>the things that surprised me as I was doing research

0:16:46.280 --> 0:16:48.880
<v Speaker 1>because I was familiar with Alan touring in the touring

0:16:48.880 --> 0:16:53.040
<v Speaker 1>test um, but I was a little surprised that Renee

0:16:53.040 --> 0:16:57.600
<v Speaker 1>des Cartes had actually made some suggestions. I have lyrics

0:16:57.640 --> 0:17:02.400
<v Speaker 1>going through my head. But no. In sixty eight, of course, again,

0:17:02.440 --> 0:17:06.720
<v Speaker 1>according to the Stanford Encyclopedia Philosophy, UM the cards said

0:17:06.760 --> 0:17:09.399
<v Speaker 1>that if there were a machine that could walk and

0:17:09.440 --> 0:17:14.000
<v Speaker 1>talk like you know, a person could. Um, I'm assuming

0:17:14.040 --> 0:17:16.359
<v Speaker 1>he didn't have some kind of time machine. Was guessing

0:17:16.400 --> 0:17:20.000
<v Speaker 1>that there will be androids in the future. But Um

0:17:20.200 --> 0:17:23.440
<v Speaker 1>basically said that these machines would need to be able

0:17:23.440 --> 0:17:26.520
<v Speaker 1>to put together a conversation like a person in order

0:17:26.560 --> 0:17:31.639
<v Speaker 1>to really be defined as intelligent. Um. But he said

0:17:31.680 --> 0:17:33.720
<v Speaker 1>that he didn't really believe that it was possible for

0:17:33.840 --> 0:17:36.399
<v Speaker 1>a machine to exhibit that kind of intelligence because they

0:17:36.400 --> 0:17:38.840
<v Speaker 1>would also need and I'm not quite sure what he

0:17:38.880 --> 0:17:42.560
<v Speaker 1>means here, all the organs necessary to live. I mean

0:17:42.640 --> 0:17:49.120
<v Speaker 1>to react to everything that they would encounter. I'm assuming

0:17:49.160 --> 0:17:51.639
<v Speaker 1>that there he's saying. You know, you wouldn't have skin,

0:17:51.840 --> 0:17:54.080
<v Speaker 1>so you wouldn't be able to go, oh, we have

0:17:54.200 --> 0:17:57.280
<v Speaker 1>that panics hot whorse, that would be a lot more. Again,

0:17:57.280 --> 0:17:59.320
<v Speaker 1>this would suggest again that he does not have a

0:17:59.359 --> 0:18:02.000
<v Speaker 1>time machine, because yeah, actually, now there are sensors that

0:18:02.160 --> 0:18:07.399
<v Speaker 1>you could embed in Yeah, there's actually there's there's so

0:18:07.480 --> 0:18:10.080
<v Speaker 1>much advancement in as far as being able to sense

0:18:10.119 --> 0:18:13.840
<v Speaker 1>the environment. Is concerned that we have some rudimentary artificial

0:18:13.840 --> 0:18:17.720
<v Speaker 1>intelligence examples out there, things that are able to uh

0:18:17.760 --> 0:18:22.159
<v Speaker 1>to examine and react to their environments. Um, things like

0:18:22.200 --> 0:18:25.600
<v Speaker 1>you know as Amo. As Amo, the robot from Honda

0:18:25.680 --> 0:18:28.879
<v Speaker 1>can walk around the room and recognize an obstacle in

0:18:28.920 --> 0:18:31.680
<v Speaker 1>its path and then reroute its path so that it

0:18:31.720 --> 0:18:35.040
<v Speaker 1>can get to its end point um by you know,

0:18:35.080 --> 0:18:38.960
<v Speaker 1>walking around or whatever. Uh it, But it still has limitations.

0:18:39.000 --> 0:18:42.640
<v Speaker 1>It can't it can't deal with anything completely new. It's

0:18:42.640 --> 0:18:44.919
<v Speaker 1>not capable of doing that. And even something like the

0:18:45.359 --> 0:18:47.280
<v Speaker 1>it's able to go up and downstairs, which was a

0:18:47.320 --> 0:18:49.760
<v Speaker 1>big deal, like it was able to balance while going

0:18:49.800 --> 0:18:55.080
<v Speaker 1>up and downstairs, right, Daleks can't. That's all that takes

0:18:55.119 --> 0:19:00.240
<v Speaker 1>to ruin the machinations of the Daleks. A staircases. Um,

0:19:00.560 --> 0:19:05.439
<v Speaker 1>although I've been told that can fly, yeah, but I mean,

0:19:05.560 --> 0:19:07.800
<v Speaker 1>come on a stairwell. It's not gonna fly up a

0:19:07.880 --> 0:19:14.200
<v Speaker 1>stairwell anyway. So the stairs have to be pre programmed

0:19:14.720 --> 0:19:17.280
<v Speaker 1>right into the Asimo. It can't. It can't encounter a

0:19:17.359 --> 0:19:19.960
<v Speaker 1>new staircase and be able to walk up or down

0:19:20.000 --> 0:19:23.080
<v Speaker 1>that staircase all on its own yet, but it could

0:19:23.240 --> 0:19:25.840
<v Speaker 1>encounter a new room and be able to walk from

0:19:25.880 --> 0:19:28.480
<v Speaker 1>one point to the other and recognize that there's something

0:19:28.480 --> 0:19:30.840
<v Speaker 1>in the way and move around it. So there are

0:19:30.920 --> 0:19:34.800
<v Speaker 1>limitations even now. But um, you know, we we're seeing

0:19:34.840 --> 0:19:38.040
<v Speaker 1>advancements all the time. And uh, I do think it's

0:19:38.080 --> 0:19:39.960
<v Speaker 1>just a question of when we get to the point

0:19:40.040 --> 0:19:45.240
<v Speaker 1>of something that is capable of learning from its environment,

0:19:45.280 --> 0:19:49.240
<v Speaker 1>like the Cornell example kind of proves that. Um, whether

0:19:49.359 --> 0:19:53.080
<v Speaker 1>or not it develops a personality is a totally different question.

0:19:53.200 --> 0:19:58.719
<v Speaker 1>And I actually think that the Decart example was fascinating.

0:19:59.480 --> 0:20:02.960
<v Speaker 1>I want or if perhaps part of the problem with

0:20:03.080 --> 0:20:06.040
<v Speaker 1>defining artificial intelligence is that we have a very you know,

0:20:06.080 --> 0:20:08.800
<v Speaker 1>we have a very narrow perspective of what intelligence is.

0:20:09.560 --> 0:20:12.560
<v Speaker 1>You know, we can't we're humans. We can't really conceive

0:20:12.640 --> 0:20:15.840
<v Speaker 1>of an intelligence outside of our own human intelligence in

0:20:15.880 --> 0:20:18.119
<v Speaker 1>the sense that there might be some way of having

0:20:18.119 --> 0:20:20.680
<v Speaker 1>intelligence that is so foreign to us that we would

0:20:20.680 --> 0:20:23.639
<v Speaker 1>not even recognize it as such. Yeah, we're we're basing

0:20:23.640 --> 0:20:26.879
<v Speaker 1>it on our own understanding of what intelligence is. You

0:20:26.920 --> 0:20:29.560
<v Speaker 1>have to there, there's no way we can't because we

0:20:29.600 --> 0:20:32.600
<v Speaker 1>are human beings. But that's that's a good point to make,

0:20:32.680 --> 0:20:34.640
<v Speaker 1>is that there could be let's say that ten years

0:20:34.640 --> 0:20:37.600
<v Speaker 1>down the road, we have an artificially intelligent device, but

0:20:37.680 --> 0:20:40.920
<v Speaker 1>we can't really recognize it as such because it's not

0:20:41.040 --> 0:20:45.159
<v Speaker 1>intelligent the same way human beings are. And I do

0:20:45.240 --> 0:20:49.680
<v Speaker 1>think there are artificial intelligences. Yeah, I've met a lot

0:20:49.720 --> 0:20:54.239
<v Speaker 1>of them, mostly on election day. Oh man. Now, I

0:20:54.240 --> 0:20:56.320
<v Speaker 1>mean but I think, you know, going back to your

0:20:56.680 --> 0:21:00.560
<v Speaker 1>to your Asimo example, Yeah, um, I I think they

0:21:00.560 --> 0:21:03.560
<v Speaker 1>are intelligent. The thing, the things that we manufacture that

0:21:03.680 --> 0:21:09.679
<v Speaker 1>have an artificial intelligence to them are artificially intelligent within

0:21:10.000 --> 0:21:12.720
<v Speaker 1>the boundaries that we set for them, like there are

0:21:12.760 --> 0:21:15.040
<v Speaker 1>you know, I've played games that have the ones that

0:21:15.080 --> 0:21:19.080
<v Speaker 1>are described as having good artificial intelligences, and the ones

0:21:19.119 --> 0:21:21.320
<v Speaker 1>that are that are really good are the ones that

0:21:21.359 --> 0:21:24.359
<v Speaker 1>seem to adapt to the way that you play. They say, Okay,

0:21:24.359 --> 0:21:26.320
<v Speaker 1>I know he's gonna come at me from this angle.

0:21:26.400 --> 0:21:29.840
<v Speaker 1>Now I'm going to do this to defend myself and

0:21:29.920 --> 0:21:33.679
<v Speaker 1>go in this direction. Um. But of course, if you

0:21:33.760 --> 0:21:36.639
<v Speaker 1>wanted it to make you a grill cheese sandwich, you know,

0:21:36.840 --> 0:21:39.600
<v Speaker 1>really that's not gonna help much. Yeah. The intelligence intelligence

0:21:39.640 --> 0:21:41.840
<v Speaker 1>is limited to the set of instructions that were given

0:21:41.880 --> 0:21:44.479
<v Speaker 1>to the intelligence at the very beginning, right, So Asimo

0:21:44.560 --> 0:21:48.000
<v Speaker 1>couldn't direct an orchestra, but it could climb a pair

0:21:48.359 --> 0:21:50.720
<v Speaker 1>a set of stairs, and then they programmed it to

0:21:51.400 --> 0:21:54.480
<v Speaker 1>conduct in order. Was just about to say conduct it did,

0:21:54.560 --> 0:21:58.760
<v Speaker 1>but it was actually it was actually um mimicking someone

0:21:58.800 --> 0:22:02.679
<v Speaker 1>else's movement, accorded someone else's movements, programmed that into Asimo.

0:22:02.760 --> 0:22:05.679
<v Speaker 1>So asthma was not that was that That was like

0:22:06.160 --> 0:22:08.600
<v Speaker 1>putting a tape into a VCR or a CD into

0:22:08.600 --> 0:22:11.240
<v Speaker 1>a CD player and pushing play. There was no way

0:22:11.320 --> 0:22:14.600
<v Speaker 1>for Asimo to depart from that series of movements. It

0:22:14.640 --> 0:22:18.640
<v Speaker 1>could not It couldn't interpret the music. It couldn't stop

0:22:18.720 --> 0:22:21.760
<v Speaker 1>and try and hold a note a little for a

0:22:21.760 --> 0:22:25.840
<v Speaker 1>little more time to get the biggest emotional impact of

0:22:25.920 --> 0:22:30.440
<v Speaker 1>the piece. It could only conduct at the the tempo

0:22:30.600 --> 0:22:34.000
<v Speaker 1>and the all the motions that were involved. Um that

0:22:34.040 --> 0:22:37.760
<v Speaker 1>we're programmed into it beforehand. So that's a very good example.

0:22:38.080 --> 0:22:41.240
<v Speaker 1>One thing that that Honda's robot will do. I mean,

0:22:41.240 --> 0:22:43.560
<v Speaker 1>since it is from Honda, it can reach in a chord.

0:22:45.000 --> 0:22:51.840
<v Speaker 1>Oh my gosh, uh Michael, um so that I see.

0:22:51.920 --> 0:22:54.080
<v Speaker 1>That was that was not Honda. I was gonna talk

0:22:54.080 --> 0:22:56.879
<v Speaker 1>a little bit about capture as well, and it's the

0:22:56.920 --> 0:22:59.800
<v Speaker 1>way it plays into artificial intelligence. Now, for those of

0:22:59.840 --> 0:23:02.800
<v Speaker 1>you who aren't familiar, capture, of course, is the uh

0:23:02.840 --> 0:23:06.040
<v Speaker 1>it's it's used a lot in verification and when you're

0:23:06.200 --> 0:23:08.119
<v Speaker 1>you know, signing up for a new account with something,

0:23:08.800 --> 0:23:12.239
<v Speaker 1>um it's quiggly alphabetical characters that look like they've been

0:23:12.280 --> 0:23:16.280
<v Speaker 1>type written around a piece of string or something. It's

0:23:16.280 --> 0:23:19.080
<v Speaker 1>it's some Usually it's a It can be either a

0:23:19.119 --> 0:23:21.680
<v Speaker 1>string of random characters or if you're lucky, it's a word.

0:23:21.920 --> 0:23:25.000
<v Speaker 1>Because some of these can get so difficult to understand

0:23:25.000 --> 0:23:26.399
<v Speaker 1>that you know, you can't like, is that a B

0:23:26.840 --> 0:23:29.960
<v Speaker 1>or is that a you know A Yeah, if it's

0:23:29.960 --> 0:23:32.359
<v Speaker 1>a word, you can at least you know, your brain

0:23:32.400 --> 0:23:35.119
<v Speaker 1>will put that together, which is as another good example,

0:23:35.200 --> 0:23:37.560
<v Speaker 1>like if a computer is not able to figure out

0:23:37.600 --> 0:23:40.399
<v Speaker 1>a word based upon a couple of you know, letters

0:23:40.400 --> 0:23:43.920
<v Speaker 1>in there, then obviously that shows that it fails that test.

0:23:44.440 --> 0:23:46.840
<v Speaker 1>So the idea mind capture is that it's supposed to

0:23:46.840 --> 0:23:49.840
<v Speaker 1>be a test that human beings can easily pass, but

0:23:49.960 --> 0:23:54.040
<v Speaker 1>computers cannot, And the purpose for capture is to try

0:23:54.080 --> 0:23:59.480
<v Speaker 1>and avoid having automated bots register tons and tons and

0:23:59.520 --> 0:24:03.479
<v Speaker 1>tons of spam accounts for whatever, you know, whatever the

0:24:03.480 --> 0:24:06.560
<v Speaker 1>thing is like. Ticketmaster is a good example. Let's say

0:24:06.560 --> 0:24:09.920
<v Speaker 1>you're buying tickets on Ticketmaster. There's a capture section where

0:24:09.920 --> 0:24:11.920
<v Speaker 1>you have to fill it out before you can complete

0:24:11.920 --> 0:24:15.000
<v Speaker 1>your order. This helps prevent scalpers from setting up an

0:24:15.040 --> 0:24:18.040
<v Speaker 1>automated program to buy all the tickets from for a

0:24:18.040 --> 0:24:20.439
<v Speaker 1>certain venue for a certain show, and then scalping the

0:24:20.440 --> 0:24:22.680
<v Speaker 1>heck out of those tickets. All right, so it makes

0:24:22.720 --> 0:24:26.760
<v Speaker 1>sense now, Um, there are people who are figuring out

0:24:26.760 --> 0:24:30.520
<v Speaker 1>ways to program computers to recognize captures, and in a

0:24:30.560 --> 0:24:32.440
<v Speaker 1>way you might say, oh, well, this is terrible because

0:24:32.440 --> 0:24:35.680
<v Speaker 1>it means that the security now has taken a back

0:24:35.760 --> 0:24:37.240
<v Speaker 1>step and now they're gonna have to figure out a

0:24:37.240 --> 0:24:38.760
<v Speaker 1>new way of doing this, which is gonna make it

0:24:38.760 --> 0:24:42.560
<v Speaker 1>even more difficult for humans to figure out the damn word. Right, Well,

0:24:42.600 --> 0:24:46.199
<v Speaker 1>but you're you're talking about. The silver lining is that

0:24:46.359 --> 0:24:50.080
<v Speaker 1>it means that it's an advance in artificial intelligence. So

0:24:50.520 --> 0:24:53.440
<v Speaker 1>on the one hand, computer security has gotten a little

0:24:53.480 --> 0:24:55.920
<v Speaker 1>more difficult. On the other hand, artificial intelligence has gotten

0:24:55.920 --> 0:24:58.520
<v Speaker 1>a little better. Now. Of course, this doesn't apply if

0:24:58.560 --> 0:25:02.960
<v Speaker 1>you happen to employ hundred people out in Indo, China

0:25:03.080 --> 0:25:07.920
<v Speaker 1>to manually go and type these captures in because that's

0:25:07.960 --> 0:25:10.320
<v Speaker 1>what a lot of you know, quote unquote hackers are

0:25:10.359 --> 0:25:13.440
<v Speaker 1>actually doing. They're not creating a program that understands capture.

0:25:13.640 --> 0:25:16.000
<v Speaker 1>They're just hiring someone who will work for pennies on

0:25:16.040 --> 0:25:19.840
<v Speaker 1>the hour to type these things out. Um, that's obviously

0:25:19.840 --> 0:25:23.920
<v Speaker 1>not artificial intelligence. That's just being a scumbag. Uh, because

0:25:23.920 --> 0:25:26.040
<v Speaker 1>there are better ways to help people in need than

0:25:26.119 --> 0:25:30.840
<v Speaker 1>to employ them to create junk mail accounts. Um, well

0:25:30.840 --> 0:25:35.120
<v Speaker 1>there goes my business model. Yes. So yeah, So that's

0:25:35.119 --> 0:25:37.320
<v Speaker 1>the whole idea behind the capture is that even when

0:25:37.359 --> 0:25:40.880
<v Speaker 1>it fails, it's still a success. It's just a success

0:25:40.880 --> 0:25:44.879
<v Speaker 1>in a different field. Alright. Then it's kind of it's

0:25:44.960 --> 0:25:46.400
<v Speaker 1>kind of a weird way of thinking of it though

0:25:46.600 --> 0:25:48.600
<v Speaker 1>you would think that would be sort of a negative

0:25:48.640 --> 0:25:50.320
<v Speaker 1>all the way around. And and you know, we've seen

0:25:50.359 --> 0:25:53.760
<v Speaker 1>other elements of artificial intelligence pop up in devices. You

0:25:53.800 --> 0:25:57.359
<v Speaker 1>have things like the collision detection in cars, where it

0:25:57.400 --> 0:26:01.520
<v Speaker 1>alerts you before you actually were to uh collide with something.

0:26:02.680 --> 0:26:05.520
<v Speaker 1>And then there's it appears that you're trying to write

0:26:05.560 --> 0:26:10.679
<v Speaker 1>a letter, Yes, there's Clippy Clippy, which is not really

0:26:11.400 --> 0:26:16.359
<v Speaker 1>that intelligent. No, it's artificially incredibly irritating. Actually, you know,

0:26:16.400 --> 0:26:18.520
<v Speaker 1>I haven't seen Clippy around. What's he doing these days?

0:26:19.200 --> 0:26:23.359
<v Speaker 1>Hopefully hard time because I hated that thing. Oh my gosh,

0:26:23.400 --> 0:26:26.720
<v Speaker 1>I give you a hard time. Yeah. Yeah, you type

0:26:26.760 --> 0:26:29.280
<v Speaker 1>in three words and it suddenly decided what you've tried

0:26:29.280 --> 0:26:30.800
<v Speaker 1>to do, and it's trying to be helpful even though

0:26:30.800 --> 0:26:32.600
<v Speaker 1>you didn't ask for help and you didn't want it.

0:26:33.480 --> 0:26:36.840
<v Speaker 1>I hate Clippy. It appears that you're trying to extort

0:26:36.880 --> 0:26:40.560
<v Speaker 1>some money. It appears that you're a Nigerian prince. Who is?

0:26:41.840 --> 0:26:45.880
<v Speaker 1>That's just thanks Clippy, you've made scamming people so much easier.

0:26:46.800 --> 0:26:54.160
<v Speaker 1>But artificial intelligence, it's one of those truly multidiscipline type

0:26:54.160 --> 0:26:56.920
<v Speaker 1>of uh fields, right, I mean it has it has

0:26:56.960 --> 0:27:01.719
<v Speaker 1>everything that it's everything from philosophy, computer science and euroscience. Uh,

0:27:01.760 --> 0:27:06.840
<v Speaker 1>I mean biology even because there are people who are

0:27:06.880 --> 0:27:09.119
<v Speaker 1>staying the human brain and trying to figure out how

0:27:09.160 --> 0:27:12.600
<v Speaker 1>that works and apply that somehow to computer science. That's

0:27:12.640 --> 0:27:15.520
<v Speaker 1>the tricky tricky thing because what what we know about

0:27:15.520 --> 0:27:19.880
<v Speaker 1>the computer the human brain is so incredibly it's such

0:27:19.880 --> 0:27:23.320
<v Speaker 1>a tiny fraction of what there is to know from

0:27:23.320 --> 0:27:24.880
<v Speaker 1>what we can tell at any rate. I mean, there's

0:27:24.880 --> 0:27:27.960
<v Speaker 1>so much we don't understand. What is the mind versus

0:27:28.000 --> 0:27:30.959
<v Speaker 1>the brain? We can't answer that question, which is kind

0:27:30.960 --> 0:27:33.119
<v Speaker 1>of ironic when you think about it. That would be

0:27:33.160 --> 0:27:37.240
<v Speaker 1>philosophy right there, Yes, philosophy, but it's also biology. I mean,

0:27:37.280 --> 0:27:41.520
<v Speaker 1>it's the same thing. It crosses over. The mind versus

0:27:41.600 --> 0:27:45.440
<v Speaker 1>the brain is one of those questions that various disciplines

0:27:45.440 --> 0:27:48.600
<v Speaker 1>have been trying to answer for for generations. And um

0:27:48.760 --> 0:27:53.879
<v Speaker 1>there's some who who believe that a and artificial intelligence

0:27:53.920 --> 0:27:58.600
<v Speaker 1>could develop a mind, even if we don't ourselves understand

0:27:58.640 --> 0:28:01.120
<v Speaker 1>how the mind works. If we build a brain that's

0:28:01.119 --> 0:28:05.760
<v Speaker 1>good enough, a mind could spontaneously generate from that brain.

0:28:05.840 --> 0:28:08.360
<v Speaker 1>If the brain was effective enough and could could make

0:28:08.400 --> 0:28:12.200
<v Speaker 1>its own decisions, it could develop its own mind. This

0:28:12.240 --> 0:28:15.840
<v Speaker 1>is completely theoretical because we don't have the ability to

0:28:15.920 --> 0:28:19.520
<v Speaker 1>make a device that complex right now to test this out.

0:28:20.000 --> 0:28:23.280
<v Speaker 1>But it's also kind of terrifying because then we arrive

0:28:23.440 --> 0:28:27.960
<v Speaker 1>at the scenario you mentioned at the beginning. The intelligence

0:28:28.000 --> 0:28:31.119
<v Speaker 1>takes a look around, looks at what it needs, decides

0:28:31.160 --> 0:28:34.040
<v Speaker 1>whether or not humans are needed. If humans are not needed,

0:28:34.160 --> 0:28:36.560
<v Speaker 1>or should they be eliminated. If they should be eliminated,

0:28:36.640 --> 0:28:39.040
<v Speaker 1>what's the most effective way of doing this. If it's

0:28:39.080 --> 0:28:41.760
<v Speaker 1>got the self recursive improvement, it's going to figure out

0:28:41.840 --> 0:28:44.520
<v Speaker 1>better and better ways of getting rid of people until

0:28:44.600 --> 0:28:47.000
<v Speaker 1>you don't have people anymore, or you get assimilated and

0:28:47.040 --> 0:28:50.080
<v Speaker 1>you become part of the borg. Well, you know, that's

0:28:50.120 --> 0:28:53.720
<v Speaker 1>a cheery outlook on it. Or it absorbs our intelligence

0:28:53.760 --> 0:28:57.480
<v Speaker 1>in some way and we all become virtual people and

0:28:57.800 --> 0:29:02.160
<v Speaker 1>are fleshy, meaty bar These eventually die and decompose and

0:29:03.160 --> 0:29:06.280
<v Speaker 1>say farewell and shovel off the mortal coil. But our

0:29:06.760 --> 0:29:10.640
<v Speaker 1>intelligence lives on. Now that's kind of an interesting thought.

0:29:10.640 --> 0:29:12.880
<v Speaker 1>It also is kind of depressing because he realized that

0:29:12.920 --> 0:29:15.320
<v Speaker 1>it's not the intelligence that's living in you right now.

0:29:15.400 --> 0:29:19.440
<v Speaker 1>It would be a copy of you. You know, I'm

0:29:19.480 --> 0:29:22.160
<v Speaker 1>guessing that when Alexander wrote to us that she had

0:29:22.280 --> 0:29:24.320
<v Speaker 1>no idea whatsoever that we were going to get into

0:29:24.320 --> 0:29:27.840
<v Speaker 1>this deep conversation about this stuff, that's because I'm not

0:29:27.920 --> 0:29:30.160
<v Speaker 1>sure that I and my brain is kind of hurting

0:29:30.160 --> 0:29:32.520
<v Speaker 1>at this point. Yeah, it's well, this is a this

0:29:32.600 --> 0:29:38.360
<v Speaker 1>is a tough topic. Now we're all to answer Alexandra's

0:29:38.440 --> 0:29:43.080
<v Speaker 1>question artificial intelligence, to some extent, is already in a

0:29:43.160 --> 0:29:47.280
<v Speaker 1>host of different products, from cars to even things like smartphones.

0:29:47.760 --> 0:29:50.640
<v Speaker 1>Smartphones able to detect where you are, how fast you're moving,

0:29:50.680 --> 0:29:53.880
<v Speaker 1>all this kind of stuff. Um, it hasn't gotten to

0:29:53.880 --> 0:29:55.840
<v Speaker 1>the point where they can start to make their own

0:29:55.840 --> 0:30:02.520
<v Speaker 1>decisions or or improve upon pastic sperience. But I don't

0:30:02.520 --> 0:30:05.440
<v Speaker 1>think we're that far off. There are people who believe

0:30:05.520 --> 0:30:09.280
<v Speaker 1>that artificial intelligence may maybe there may be a breakthrough

0:30:09.480 --> 0:30:12.560
<v Speaker 1>as early as next year. Of course they said that

0:30:12.720 --> 0:30:15.680
<v Speaker 1>last year, right, Well, actually in two thousand and seven

0:30:15.720 --> 0:30:18.520
<v Speaker 1>they said any time between three and seven years, So

0:30:18.760 --> 0:30:20.640
<v Speaker 1>next year would be the first year for that major

0:30:20.680 --> 0:30:25.440
<v Speaker 1>breakthrough and then for the singularity you're looking at around

0:30:26.760 --> 0:30:30.040
<v Speaker 1>depending upon who you ask. So uh, I mean that

0:30:30.920 --> 0:30:33.080
<v Speaker 1>whether we actually hit the singularity, A lot of that

0:30:33.120 --> 0:30:36.080
<v Speaker 1>depends on if other things hold true, like Moore's law. Yeah,

0:30:36.280 --> 0:30:39.000
<v Speaker 1>but of course you know, Ray Kurtzweil and others are

0:30:39.000 --> 0:30:42.440
<v Speaker 1>counting on it. Yeah, they've they've got an entire lecture

0:30:42.480 --> 0:30:45.560
<v Speaker 1>series devoted to it. And they are very smart people,

0:30:46.560 --> 0:30:49.560
<v Speaker 1>I would say, far smarter than I am. So it

0:30:49.640 --> 0:30:52.600
<v Speaker 1>may be that they're onto something. Um, it's hard for

0:30:52.640 --> 0:30:55.720
<v Speaker 1>me to say because it's you know, I also look

0:30:55.720 --> 0:31:00.640
<v Speaker 1>at other extremely complex machinery that doesn't yet work. Yeah,

0:31:00.880 --> 0:31:05.360
<v Speaker 1>like you know large Hadron collider. Well, there are theories

0:31:05.400 --> 0:31:07.800
<v Speaker 1>as to why that's We're going to get into that,

0:31:07.840 --> 0:31:09.880
<v Speaker 1>though we can't. We can't talk about that. That's coming

0:31:09.960 --> 0:31:13.040
<v Speaker 1>up in an upcoming episode. I wonder if artificial intelligence

0:31:13.080 --> 0:31:17.760
<v Speaker 1>is behind that. Sounds like a conspiracy to me. That's

0:31:17.800 --> 0:31:20.920
<v Speaker 1>a hint. All right, Well, let's uh, I think are

0:31:21.320 --> 0:31:23.400
<v Speaker 1>do you have anything else to add on artificial intelligence?

0:31:23.920 --> 0:31:26.640
<v Speaker 1>This was a very philosophical discussion, very different from our

0:31:26.680 --> 0:31:28.520
<v Speaker 1>normal episode. I hope you guys enjoyed it. We don't

0:31:28.520 --> 0:31:31.640
<v Speaker 1>plan on doing a ton of philosophical discussions, but it's

0:31:31.640 --> 0:31:34.160
<v Speaker 1>gonna do something a little different. It is. It's nice

0:31:34.320 --> 0:31:36.800
<v Speaker 1>thought experiment, which, as it turns out, very important in

0:31:36.840 --> 0:31:42.120
<v Speaker 1>artificial intelligence. But now that we've exhausted that topic, at

0:31:42.160 --> 0:31:44.560
<v Speaker 1>least as far as our understanding goes, you could you

0:31:44.560 --> 0:31:48.480
<v Speaker 1>could take entire college courses in artificial I mean, there's far, far,

0:31:48.600 --> 0:31:51.760
<v Speaker 1>far more out. Yeah, this is not even scratching the surface.

0:31:51.800 --> 0:31:54.600
<v Speaker 1>That would be an insult to the field of artificial intelligence.

0:31:54.640 --> 0:31:57.600
<v Speaker 1>But it does now wrap things up, which leads us

0:31:57.640 --> 0:32:04.480
<v Speaker 1>to our second bout of listener May This listener mail

0:32:04.600 --> 0:32:07.320
<v Speaker 1>comes from Thomas, and Thomas has this to say, Hello,

0:32:07.400 --> 0:32:10.280
<v Speaker 1>Chris and Jonathan. I just recently listened to your podcast

0:32:10.360 --> 0:32:12.239
<v Speaker 1>on a r g S and I was wondering if

0:32:12.280 --> 0:32:14.400
<v Speaker 1>I could get a few pointers. I'm getting started and

0:32:14.480 --> 0:32:17.880
<v Speaker 1>participating in one. So r g s are the alternate

0:32:17.880 --> 0:32:21.400
<v Speaker 1>reality games, which we talked about several episodes ago. This.

0:32:21.640 --> 0:32:24.920
<v Speaker 1>Two sites I would recommend anyone go to if they

0:32:24.920 --> 0:32:29.520
<v Speaker 1>are interested in getting into alternate reality games are www

0:32:29.560 --> 0:32:34.760
<v Speaker 1>Dot a r g N dot com or www dot

0:32:34.960 --> 0:32:38.920
<v Speaker 1>unfiction dot com. Both of those are good place to

0:32:39.080 --> 0:32:41.800
<v Speaker 1>start if you want to look into alternate reality games

0:32:41.840 --> 0:32:43.920
<v Speaker 1>and kind of get an idea of which ones you

0:32:43.920 --> 0:32:46.040
<v Speaker 1>want to play. Some of the old games are still

0:32:46.520 --> 0:32:49.400
<v Speaker 1>semi active, so you could actually play through parts of

0:32:49.440 --> 0:32:53.080
<v Speaker 1>the game now. Granted, anything that realizes on interaction between

0:32:53.080 --> 0:32:57.040
<v Speaker 1>the game master and the players that's long since over right,

0:32:57.080 --> 0:32:59.600
<v Speaker 1>so you can't you can't play that part. But the

0:32:59.640 --> 0:33:02.080
<v Speaker 1>puzzles that are online you may still be able to

0:33:02.080 --> 0:33:04.840
<v Speaker 1>play through, or at least be able to see what

0:33:05.040 --> 0:33:07.920
<v Speaker 1>the puzzles were, how people work them out, get an

0:33:07.960 --> 0:33:10.640
<v Speaker 1>idea for the way the games are played. Um. Both

0:33:10.640 --> 0:33:14.120
<v Speaker 1>of those sites also list active games. When I looked,

0:33:14.240 --> 0:33:16.040
<v Speaker 1>there weren't a whole lot of active games right now,

0:33:16.080 --> 0:33:19.760
<v Speaker 1>but that could change at any time. So thanks Thomas.

0:33:20.160 --> 0:33:23.680
<v Speaker 1>If any of you have any questions, suggestions, criticisms, comments,

0:33:23.680 --> 0:33:25.720
<v Speaker 1>that kind of thing, right to us tech Stuff at

0:33:25.760 --> 0:33:28.200
<v Speaker 1>how stuff works dot com. We have a lot of

0:33:28.280 --> 0:33:31.400
<v Speaker 1>articles on the site that relate to artificial intelligence. Uh

0:33:31.440 --> 0:33:35.160
<v Speaker 1>not one specifically about how AI works, but how it

0:33:35.200 --> 0:33:37.760
<v Speaker 1>relates to things like robots, video games, all that sort

0:33:37.800 --> 0:33:39.959
<v Speaker 1>of stuff. I recommend you check those out. That's at

0:33:39.960 --> 0:33:42.160
<v Speaker 1>how stuff works dot com. Remember we have a live

0:33:42.200 --> 0:33:46.920
<v Speaker 1>show every Tuesday one pm Eastern. Check that out again. Blogs,

0:33:47.440 --> 0:33:49.360
<v Speaker 1>So you would look at the House of Works dot

0:33:49.360 --> 0:33:50.800
<v Speaker 1>com on the right hand side there's the link of

0:33:50.840 --> 0:33:53.280
<v Speaker 1>the blogs. That's where you're gonna find that information. And

0:33:53.400 --> 0:33:56.000
<v Speaker 1>Chris and I will talk to you again really soon

0:33:59.040 --> 0:34:01.480
<v Speaker 1>for more on this and thousands of other topics. Does

0:34:01.520 --> 0:34:03.800
<v Speaker 1>it how stuff works dot com And be sure to

0:34:03.880 --> 0:34:05.960
<v Speaker 1>check out the new tech stuff blog now on the

0:34:05.960 --> 0:34:13.360
<v Speaker 1>House stuff Works homepage. Brought to you by the reinvented

0:34:13.400 --> 0:34:16.080
<v Speaker 1>two thousand twelve camera. It's ready, are you