WEBVTT - Does Your Computer Know Chinese?

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey there, and welcome to Forward Thinking. The

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<v Speaker 1>podcast at looks at the future and says Confucius has

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<v Speaker 1>a puzzling grace. I'm Jonathan Strickland, I'm La, and I'm

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<v Speaker 1>Joe McCormick. So, um, we were talking like intelligent people

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<v Speaker 1>just now, right, like intelligent people. Sure depends on how

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<v Speaker 1>you define intelligence. Maybe people not. We're not all geniuses

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<v Speaker 1>around here, but we have sort of what you might

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<v Speaker 1>think of as a human intelligence. We're smarter than like

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<v Speaker 1>pigs maybe, or like grasshoppers and stuff like that. I

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<v Speaker 1>flatter myself to be considered smarter than my toaster most days. Yeah,

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<v Speaker 1>so this actually got us into a discussion about being

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<v Speaker 1>smarter than inanimate objects, and so far we're doing quite well. Yeah.

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<v Speaker 1>I want y'all to imagine a scenario. Okay, imagine that

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<v Speaker 1>you have a real good friend Ardia already stretching imagination already. Well,

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<v Speaker 1>I know you don't have good friends, but we just

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<v Speaker 1>pretend you have a really good relationship. But this guy

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<v Speaker 1>named Artie, and he's funny, intelligent, compassionate. Um, not to

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<v Speaker 1>mention the strongest man in the world. Uh. But you

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<v Speaker 1>have been extremely good friends with Artie for many, many years. Um.

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<v Speaker 1>And suddenly one day, while you and Artie are hanging out,

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<v Speaker 1>maybe having some coffee in your living room, a bunch

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<v Speaker 1>of people in lab coats bust into your living room

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<v Speaker 1>and they deactivate Alreadie with a remote control. Uh. And

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<v Speaker 1>the head scientist among this group, she flares her lab

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<v Speaker 1>coat and informs you that Already is in fact and

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<v Speaker 1>artificially intelligent robot. And to prove it to you, she

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<v Speaker 1>opens up Already's head and shows you that it is

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<v Speaker 1>full of dense circuitry where a normal person's brain would be. Pop.

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<v Speaker 1>Quiz is what's your reaction in this scenario? Are you

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<v Speaker 1>a horrified that you were tricked into a fake relationship

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<v Speaker 1>with fake intelligence or are you be amazed that a

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<v Speaker 1>synthetic intelligence is capable of being a real friend. I'm

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<v Speaker 1>gonna go with Cee. I'm amazed they were able to

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<v Speaker 1>burst into my living room because there's no doors, so

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<v Speaker 1>live us through the walls. So I got like a

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<v Speaker 1>wrecking ball comes in and it's got a bunch of

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<v Speaker 1>lab coat people clinging to it, and so like scientist

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<v Speaker 1>versions of Miley Cyrus. Maybe I think that I am

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<v Speaker 1>d upset by this entire situation and that someone has

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<v Speaker 1>just deactivated my friend. I think that I'm concerned about

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<v Speaker 1>artist personally, which probably puts me into a B camp

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<v Speaker 1>if you're if you're really being technical, Okay. But so yeah,

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<v Speaker 1>I it's hard to know how I would feel, But

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<v Speaker 1>I would like to say I think i'd go with B.

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<v Speaker 1>That I wouldn't just be horrified and say like all

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<v Speaker 1>of those years were just a yeah, Now, I've had

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<v Speaker 1>enough of those in in my life from from people who,

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<v Speaker 1>as far as I know, are not robots. So I

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<v Speaker 1>think I would mostly be amazed that someone had achieved

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<v Speaker 1>the technical ability to simulate intelligence to the extent where

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<v Speaker 1>I could not tell the difference between what is simulated

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<v Speaker 1>intelligence and real intelligence. Okay. And so this ties into

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<v Speaker 1>a concept we've talked about on the show before, which

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<v Speaker 1>is the Turing test. What what is the Turing tests? Essentially,

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<v Speaker 1>the basic version of the test is that you have

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<v Speaker 1>a person positing questions over a terminal, so a computer terminal.

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<v Speaker 1>They cannot see whomever or whatever is answering those questions.

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<v Speaker 1>Those questions are being answered either by a person in

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<v Speaker 1>another room at another terminal, who's typing those answers in

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<v Speaker 1>or by a computer program that is responding automatically to

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<v Speaker 1>those questions. If the person asking the questions is unable

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<v Speaker 1>to determine with any real level of of of certain certainty,

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<v Speaker 1>thank you words that don't come to mind certainty, then

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<v Speaker 1>that machine is said to pass the Touring test if

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<v Speaker 1>in fact it was the machine that was answering those questions. Okay,

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<v Speaker 1>And so that's the basic Turing tests, say the back

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<v Speaker 1>and forth text based chatbot. But you could sort of

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<v Speaker 1>look at the Turing test in a larger view and say,

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<v Speaker 1>it's the bigger question of can you simulate human intelligence

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<v Speaker 1>in a way that people can't tell the difference? And

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<v Speaker 1>in fact, Touring went so far as to say that

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<v Speaker 1>if this machine was able to simulate human intelligence to

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<v Speaker 1>that level, we would, in fact, we should, in fact

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<v Speaker 1>say that it is intelligent in the sense that we

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<v Speaker 1>should grant it the same kind of consideration that we do. Right,

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<v Speaker 1>because because we cannot inhabit another person's being, we cannot

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<v Speaker 1>be certain that that person actually possesses intelligence. We assume, yeah,

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<v Speaker 1>we assume that they have the same things that we

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<v Speaker 1>You know that they have the same things that we have,

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<v Speaker 1>so we should extend the same courtesy to machines if

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<v Speaker 1>they are capable of doing such a thing. Right, So

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<v Speaker 1>this is what's known as sort of strong AI. Actually

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<v Speaker 1>this is really known as weak AI because it's simulating intelligence,

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<v Speaker 1>not necessarily possessing intelligence. Well, that what the question is

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<v Speaker 1>about strong AI. The question is is um something that

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<v Speaker 1>displays convincingly intelligent behavior actually intelligent. And here's where we

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<v Speaker 1>come back to Artie. Okay, So Artie, your friend convinced

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<v Speaker 1>you for years that he was a real intelligence. He

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<v Speaker 1>seemed intelligent, he was, you know, funny, He was a

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<v Speaker 1>hundred indistinguishable from every other human you knew. And when

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<v Speaker 1>he was activated, he would insist that he was in

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<v Speaker 1>fact conscious, understanding language, would insist on all the other

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<v Speaker 1>things that we would insist on as part of our

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<v Speaker 1>sort of mental abilities. Was already actually intelligent and did

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<v Speaker 1>already understand the relationship the language, all of these things

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<v Speaker 1>that happened between humans. Or was he merely running programs

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<v Speaker 1>that made it seem as though he was right? So,

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<v Speaker 1>in other words, this is the difference between we weak

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<v Speaker 1>AI and strong AI. Week A I would be running

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<v Speaker 1>programs where you would be taking in various kinds of

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<v Speaker 1>input and producing output that to an independent observer would

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<v Speaker 1>seem to be this kind of natural processing of information

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<v Speaker 1>and reaction in the way a human being would react

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<v Speaker 1>week at week A. I would be the position that

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<v Speaker 1>even though you could simulate it, it wasn't really intelligence, right,

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<v Speaker 1>and strong AI would be that it actually has a

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<v Speaker 1>level of intelligence that's comparable to human intelligence. It might

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<v Speaker 1>not be identical, but it would be. It would truly understand,

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<v Speaker 1>It would know what it knew, and not just be

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<v Speaker 1>able to process information based on some complex series of rules. Right.

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<v Speaker 1>So can a robot or a computer program, any kind

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<v Speaker 1>of machine that's based on symbolic programming and computation actually

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<v Speaker 1>no or understand anything. And this is a question that

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<v Speaker 1>is debated quite heavily in artificial intelligence circles and cognitive science. Yeah,

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<v Speaker 1>what we want to focus on today is one particular

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<v Speaker 1>thought experiment that has tried to answer this question. And

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<v Speaker 1>I would say that this is probably the most hotly

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<v Speaker 1>debated question in AI and cognitive science in the past

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<v Speaker 1>few decades, well at least the past decades certainly. Yeah,

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<v Speaker 1>we're talking about John Searle's Chinese Room thought experiment, which

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<v Speaker 1>is a really uh interesting approach. And there are some

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<v Speaker 1>also interesting counter arguments to the Chinese room thought experiment

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<v Speaker 1>that we'll have to kind of talk about. Yeah. As

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<v Speaker 1>of about, computer scientist Pat Hayes had defined cognitive cognitive

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<v Speaker 1>science as a field as the ongoing research project of

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<v Speaker 1>refuting searles argument. Um. Yeah, So obviously this is a

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<v Speaker 1>huge issue, hotly debated by people a lot smarter than

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<v Speaker 1>we are and who have thought about it a lot more.

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<v Speaker 1>So we're not going to settle it here today. We're

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<v Speaker 1>just going to lay it out. We were just going

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<v Speaker 1>to try to explain it and offer a few of

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<v Speaker 1>the prominent thoughts in this field. Let me give a

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<v Speaker 1>crack at explaining what this thought experiment is. Okay, okay, Well,

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<v Speaker 1>first of all, just let's know where it came from.

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<v Speaker 1>It was from John Searle in his nineteen eighty paper Minds,

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<v Speaker 1>Brains and Programs, and that was published in the Behavioral

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<v Speaker 1>in Brain Science. He has he has updated it a

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<v Speaker 1>couple of times since then, uh, and also responded to

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<v Speaker 1>various criticisms leveled against his argument. But here is the

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<v Speaker 1>basic thought experiment now, imagine that you, Joe. I'm going

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<v Speaker 1>to use you as an example. The Joe, you don't

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<v Speaker 1>happen to know Chinese, do you know? Okay, well, then

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<v Speaker 1>you're a perfect I wanted to use you as an example.

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<v Speaker 1>It's too late. I'm the one giving the example, so

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<v Speaker 1>you are the example. I also don't know Chinese, so

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<v Speaker 1>either one of us would work in Okay, you can

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<v Speaker 1>use me. Okay, So Joe does not know Chinese. Uh,

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<v Speaker 1>he is put into a room. That room has a desk,

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<v Speaker 1>it's got some paper, some pencils or racers, it's got

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<v Speaker 1>some file in cabinets and as a door with a

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<v Speaker 1>slot in it. And the way that Joe interacts with

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<v Speaker 1>the outside world is that occasionally someone puts a piece

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<v Speaker 1>of paper through that slot that has a Chinese character

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<v Speaker 1>drawn on it. Now, Joe also has an enormous book

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<v Speaker 1>full of instructions on what to do every time a

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<v Speaker 1>piece of paper with a character comes in and he

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<v Speaker 1>looks at the character, goes through the book, finds the

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<v Speaker 1>character in the book, follows the instructions on what he's

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<v Speaker 1>supposed to do when that character is inserted, which usually

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<v Speaker 1>involves him drawing a different Chinese character on a on

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<v Speaker 1>a sheet of paper and then slaying that back through

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<v Speaker 1>the slot. Now from anyone who is outside of that rooms,

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<v Speaker 1>a Chinese speaking person who is writing down a specific

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<v Speaker 1>instruction on a sheet of paper and slides it through

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<v Speaker 1>that slot and then gets the result that Joe has

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<v Speaker 1>driven written on the other sheet of paper. To them,

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<v Speaker 1>it appears that whatever is inside that room understands Chinese

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<v Speaker 1>right from their perspective, if if the instructions are good enough, yes, right.

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<v Speaker 1>So what we're sort of a mad jenning is this

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<v Speaker 1>is a room with a person in it that passes

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<v Speaker 1>the Turing test. Yes, yeah, because you the person on

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<v Speaker 1>the outside has no idea what's on the inside of

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<v Speaker 1>the room. All they know is that they have passed

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<v Speaker 1>in instructions that were in Chinese. They've received output that's

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<v Speaker 1>also in Chinese, and everything follows according to a sets

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<v Speaker 1>set of rules, predetermined rules, and and the output is

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<v Speaker 1>precise and convincing enough that the person outside thinks that

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<v Speaker 1>whatever is inside is a true native Chinese speaker. So

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<v Speaker 1>so the question then in this experiment is does this

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<v Speaker 1>mean that Joe actually knows Chinese? And Searles, uh, Well,

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<v Speaker 1>Searles says no, you don't. You don't know Chinese. You

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<v Speaker 1>don't understand Chinese. You're following instructions, but you don't understand

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<v Speaker 1>the actual language. Actually, I might make one changes. I

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<v Speaker 1>think it's the obvious point is that I and that

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<v Speaker 1>thought experiment don't actually know Chinese. The question is does

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<v Speaker 1>this translate to a computer in the same situation, because

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<v Speaker 1>this with this supposed to be an analogy for the

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<v Speaker 1>situation that a computer or turing machine is in sure,

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<v Speaker 1>it receives input, um it has a set of instructions

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<v Speaker 1>that it follows in in computer readable language. It processes

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<v Speaker 1>that input through those instructions, and then it gives output.

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<v Speaker 1>But it doesn't have any actual understanding of what is

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<v Speaker 1>going on at any given time. It it knows to

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<v Speaker 1>follow specific instructions because of a program, but it doesn't

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<v Speaker 1>understand what's happened. It doesn't understand the question more or

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<v Speaker 1>less much less the answer, right. And so that was

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<v Speaker 1>Searle's point, and it wasn't He wasn't against week Ai.

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<v Speaker 1>I mean, he obviously believed that maybe a computer could

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<v Speaker 1>simulate human intelligence so well that we couldn't tell the difference.

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<v Speaker 1>He was just pointing out that UM it seems that

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<v Speaker 1>based on simple programmable instructions and symbolic computation, that a

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<v Speaker 1>computer could never really understand but it was dealing with. Yeah,

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<v Speaker 1>so understanding is the crux of this argument. And also

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<v Speaker 1>it's problematic because often people who level criticisms against it

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<v Speaker 1>say that we need to define what understand means, and

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<v Speaker 1>then it gets a little metaphysical. But we're not going

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<v Speaker 1>to go too far into that because obviously that that

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<v Speaker 1>can take hours of discussion. Well, but I mean, part

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<v Speaker 1>of this problem is the is the semantics of the

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<v Speaker 1>terminology that we use for this kind of thing, And

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<v Speaker 1>and which is a little bit funny because because syntax

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<v Speaker 1>versus semantics is considered um kind of the key point

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<v Speaker 1>of this argument, right, Since what the computer clearly does

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<v Speaker 1>understand is syntax, it's got instructions and data to deal with.

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<v Speaker 1>What's up for debate is whether it gets semantics, whether

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<v Speaker 1>it understands the meaning of the symbol. So, for example,

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<v Speaker 1>we've talked about the semantic web, this idea of a web,

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<v Speaker 1>some way of interacting with the Worldwide Web. I love

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<v Speaker 1>to use that old term because I was around when

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<v Speaker 1>it started, but a way to interact with the web

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<v Speaker 1>where it quote unquote understand ends what you want and

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<v Speaker 1>it's pulling exactly the stuff that you want. But when

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<v Speaker 1>we talk about actually making the semantic web come to pass,

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<v Speaker 1>it's all about things like meta data and including all

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<v Speaker 1>of this information about information so that a computer can

0:13:13.240 --> 0:13:16.600
<v Speaker 1>make sense of it, because a computer does not natively

0:13:16.760 --> 0:13:21.240
<v Speaker 1>possess this ability to understand semantics. And even in that case,

0:13:21.360 --> 0:13:23.120
<v Speaker 1>we would call it the semantic web, but it would

0:13:23.120 --> 0:13:25.840
<v Speaker 1>still be based on program yes, and still be very

0:13:25.920 --> 0:13:28.520
<v Speaker 1>much based on syntax. All right, All the examples that

0:13:28.600 --> 0:13:30.400
<v Speaker 1>we can really come up with are very much based

0:13:30.400 --> 0:13:32.360
<v Speaker 1>in our human world because it's a little bit difficult

0:13:32.360 --> 0:13:36.000
<v Speaker 1>for us to understand, um without metaphor exactly what's going

0:13:36.040 --> 0:13:38.000
<v Speaker 1>on inside of a computer. But it's it's sort of

0:13:38.040 --> 0:13:41.599
<v Speaker 1>talking about the difference between like memorizing versus understanding and

0:13:41.679 --> 0:13:46.880
<v Speaker 1>equation or being tested on memorization versus comprehension. Yeah, okay,

0:13:46.960 --> 0:13:49.839
<v Speaker 1>so well, I want to offer a few of the

0:13:49.920 --> 0:13:52.320
<v Speaker 1>responses I've read about. None of these, of course, are

0:13:52.320 --> 0:13:56.440
<v Speaker 1>original to us. This is something that's been debated over

0:13:56.559 --> 0:13:59.559
<v Speaker 1>and over again. So these are all things that have

0:13:59.640 --> 0:14:02.719
<v Speaker 1>been gust in that philosophy world, and an AI and

0:14:02.800 --> 0:14:05.679
<v Speaker 1>computer science before UM. But I think one of the

0:14:05.760 --> 0:14:08.240
<v Speaker 1>most important things to start with is sort of the

0:14:08.760 --> 0:14:14.040
<v Speaker 1>epistemological question is just going straight back to the Turing skepticism,

0:14:14.480 --> 0:14:18.120
<v Speaker 1>which is that, um, if you can't tell the difference,

0:14:18.400 --> 0:14:21.640
<v Speaker 1>you can't tell the difference. That the idea is, if

0:14:21.760 --> 0:14:25.840
<v Speaker 1>someone appears to you to have understanding, how could you

0:14:25.960 --> 0:14:29.840
<v Speaker 1>say that they don't have understanding? Um? And I think

0:14:29.920 --> 0:14:32.600
<v Speaker 1>that's a really good point to start with. But there

0:14:32.800 --> 0:14:35.240
<v Speaker 1>is also a good response to it, in my mind,

0:14:35.320 --> 0:14:38.240
<v Speaker 1>which is that, um, it still leaves the question of

0:14:38.400 --> 0:14:41.160
<v Speaker 1>what is the basic thing we're talking about? So we

0:14:41.280 --> 0:14:44.240
<v Speaker 1>might not be able to know if other people have understanding,

0:14:44.600 --> 0:14:47.400
<v Speaker 1>but just saying that sentence still acknowledges, well, there is

0:14:47.480 --> 0:14:51.040
<v Speaker 1>such a thing as understanding, and whether or not we

0:14:51.200 --> 0:14:53.840
<v Speaker 1>can know that, the question of whether a program machine

0:14:53.960 --> 0:14:58.720
<v Speaker 1>can in principle attain this state remains. So it's not

0:14:58.880 --> 0:15:02.720
<v Speaker 1>deconstructing the argument, and it's just it's just raising more questions. Yeah,

0:15:02.800 --> 0:15:06.520
<v Speaker 1>and so one point raised by this objection might be that, well,

0:15:06.920 --> 0:15:09.840
<v Speaker 1>what if we can never solve this question, But that's

0:15:09.920 --> 0:15:14.080
<v Speaker 1>not the same as saying that the question is meaningless. Basically, sure,

0:15:14.200 --> 0:15:19.640
<v Speaker 1>another objection or another criticism leveled uses what Searl has

0:15:19.880 --> 0:15:24.360
<v Speaker 1>identified as the system approach. So the system argument is

0:15:24.600 --> 0:15:27.440
<v Speaker 1>about how if you look at the person in the

0:15:27.560 --> 0:15:30.080
<v Speaker 1>room as supposed to you know, the person in the

0:15:30.160 --> 0:15:33.280
<v Speaker 1>room is supposed to represent a computer, then clearly you

0:15:33.320 --> 0:15:37.720
<v Speaker 1>would argue while Joe didn't really learn Chinese, computer being Joe,

0:15:38.920 --> 0:15:41.920
<v Speaker 1>Joe clearly did not learn it. He was following specific

0:15:42.000 --> 0:15:44.280
<v Speaker 1>instructions that were in a giant book that were not

0:15:44.440 --> 0:15:47.560
<v Speaker 1>part of Joe's knowledge. All he was doing was taking

0:15:47.640 --> 0:15:50.240
<v Speaker 1>an input and then applying this set of rules and

0:15:50.280 --> 0:15:53.320
<v Speaker 1>then getting output. But the system approach says, well, you're

0:15:53.320 --> 0:15:56.400
<v Speaker 1>looking at this wrong. You're looking at at the Joe

0:15:56.480 --> 0:15:58.840
<v Speaker 1>at being the representation of the computer, whereas really it

0:15:58.880 --> 0:16:01.440
<v Speaker 1>would be the entire system that you have to take

0:16:01.480 --> 0:16:05.240
<v Speaker 1>into consideration rather than just Joe. Joe would be like

0:16:05.400 --> 0:16:09.360
<v Speaker 1>the processor, the CPU, and that that something to do

0:16:09.480 --> 0:16:13.160
<v Speaker 1>with the room, which has created these instructions, understands Chinese,

0:16:13.200 --> 0:16:16.320
<v Speaker 1>and therefore that that intelligence has happened. So when you

0:16:16.400 --> 0:16:18.800
<v Speaker 1>look at the whole thing together, the room, the English

0:16:18.840 --> 0:16:23.360
<v Speaker 1>instruction manual, me the input and output paper slips that

0:16:23.440 --> 0:16:27.000
<v Speaker 1>are coming through the door, the filing system, which represents memory. Right.

0:16:27.160 --> 0:16:29.720
<v Speaker 1>All of that together, you could say, in a way

0:16:29.960 --> 0:16:33.960
<v Speaker 1>understands Chinese. Right, And it may not be directly analogous

0:16:34.000 --> 0:16:36.640
<v Speaker 1>to the way a person understands Chinese, but that really

0:16:36.760 --> 0:16:39.760
<v Speaker 1>doesn't matter in this argument so much. We're talking about

0:16:40.120 --> 0:16:43.040
<v Speaker 1>strong AI versus weak AI, not whether or not the

0:16:43.120 --> 0:16:48.040
<v Speaker 1>intelligence is exactly like human intelligence. Yeah, and so this

0:16:48.280 --> 0:16:51.880
<v Speaker 1>is probably the I think the most popular response to

0:16:51.960 --> 0:16:54.200
<v Speaker 1>the Chinese room argument. There's some others we're gonna talk

0:16:54.200 --> 0:16:56.280
<v Speaker 1>about in a minute, but I think the dominant one

0:16:56.440 --> 0:17:00.520
<v Speaker 1>is this systems thinking approach. And and this also goes with,

0:17:00.880 --> 0:17:02.840
<v Speaker 1>um a lot of the ways people have come up

0:17:02.880 --> 0:17:05.920
<v Speaker 1>with to think about how intelligence comes out of a

0:17:06.000 --> 0:17:10.200
<v Speaker 1>material mind, sorry, a material brain. Um. So you know,

0:17:10.359 --> 0:17:14.159
<v Speaker 1>it's like you're the brain is not just one discrete

0:17:14.240 --> 0:17:19.720
<v Speaker 1>agent doing one kind of thing, but it's this confabulation

0:17:19.840 --> 0:17:24.239
<v Speaker 1>of tons of different types of events that, in an

0:17:24.280 --> 0:17:28.600
<v Speaker 1>emergent way combined to produce what we think of his consciousness. Right.

0:17:28.880 --> 0:17:32.080
<v Speaker 1>It's also related to another response called the virtual mind reply,

0:17:32.280 --> 0:17:35.160
<v Speaker 1>which which specifies that AI is a machine that has

0:17:35.280 --> 0:17:38.680
<v Speaker 1>created a mind that understands Chinese, not that the AI

0:17:38.840 --> 0:17:43.080
<v Speaker 1>itself understands Chinese. Which is getting back into semantics. Yeah,

0:17:43.080 --> 0:17:45.200
<v Speaker 1>it's getting it's also getting a little metaphysical, to the

0:17:45.280 --> 0:17:49.639
<v Speaker 1>point where Searle's responses puffed. I think that's how you

0:17:49.680 --> 0:17:51.960
<v Speaker 1>would sum it up. But essentially he says like, you

0:17:52.000 --> 0:17:54.080
<v Speaker 1>don't need to bring metaphysics into it. This isn't this,

0:17:54.359 --> 0:17:57.680
<v Speaker 1>that's that's irrelevant. Well, if you want to get really

0:17:57.760 --> 0:18:00.400
<v Speaker 1>hard nosed and practical, there are a couple other ways

0:18:00.480 --> 0:18:02.879
<v Speaker 1>we could go with this. One of them is simply

0:18:02.920 --> 0:18:07.000
<v Speaker 1>the criticism that the thought experiment is too impractical to

0:18:07.080 --> 0:18:09.879
<v Speaker 1>be useful, or it's too unlike the real world. So

0:18:10.000 --> 0:18:12.399
<v Speaker 1>think about it like this. Um It asks us to

0:18:12.560 --> 0:18:14.880
<v Speaker 1>imagine that the person in the room would be able

0:18:14.960 --> 0:18:18.960
<v Speaker 1>to use this English instruction manual, which is the equivalent

0:18:19.000 --> 0:18:23.760
<v Speaker 1>to a computer program, fast enough to generate convincing responses.

0:18:24.119 --> 0:18:27.080
<v Speaker 1>But in reality, it might take a single person in

0:18:27.160 --> 0:18:31.200
<v Speaker 1>a room like billions of years to go through all

0:18:31.359 --> 0:18:35.080
<v Speaker 1>of the instructions in that instruction manual and turn back

0:18:35.119 --> 0:18:38.920
<v Speaker 1>an answer that was satisfactory. A computer could do this

0:18:39.080 --> 0:18:42.240
<v Speaker 1>in less than a second, probably, so Thus there could

0:18:42.280 --> 0:18:45.480
<v Speaker 1>be a fundamental difference between the kind of slow intelligence

0:18:45.560 --> 0:18:49.320
<v Speaker 1>that the thought experiment would display and an actually convincing

0:18:49.440 --> 0:18:52.840
<v Speaker 1>touring ai um, and thus the thought experiment can actually

0:18:52.960 --> 0:18:56.240
<v Speaker 1>comment on what happens with a touring AI. See. I

0:18:57.359 --> 0:19:00.119
<v Speaker 1>I have a problem with this just from a gut level. Obviously,

0:19:00.200 --> 0:19:04.880
<v Speaker 1>I'm not a philosopher nor my scientist. However, I think

0:19:04.960 --> 0:19:08.120
<v Speaker 1>about people who really take their time and answering a question,

0:19:08.800 --> 0:19:11.440
<v Speaker 1>and I think of computers I've used that also really

0:19:11.520 --> 0:19:13.920
<v Speaker 1>take your time and executing a program, And I'm just

0:19:14.000 --> 0:19:17.560
<v Speaker 1>thinking that when it comes down to the time issue,

0:19:17.800 --> 0:19:20.200
<v Speaker 1>I almost see that as irrelevant to me, like that

0:19:20.280 --> 0:19:22.040
<v Speaker 1>doesn't really matter so much to me. But then a

0:19:22.200 --> 0:19:24.560
<v Speaker 1>part of it is also that I'm used to talking

0:19:24.640 --> 0:19:27.879
<v Speaker 1>about stuff that's taking over taking taking place over the

0:19:27.920 --> 0:19:31.639
<v Speaker 1>course of billions of years. So whether it takes you know,

0:19:31.760 --> 0:19:35.800
<v Speaker 1>a month to respond to a request or it takes

0:19:35.960 --> 0:19:40.440
<v Speaker 1>a second, I don't really necessarily see that as an

0:19:40.520 --> 0:19:44.640
<v Speaker 1>indicator or or you know, something that denies the presence

0:19:44.680 --> 0:19:47.560
<v Speaker 1>of intelligence. Yeah, you could certainly say that you know

0:19:47.720 --> 0:19:50.280
<v Speaker 1>that basically no matter how long it takes, the principles

0:19:50.359 --> 0:19:53.240
<v Speaker 1>behind the question in the thought experiment remain the same.

0:19:53.960 --> 0:19:56.760
<v Speaker 1>Um that it's just that's just sort of an irrelevant

0:19:56.880 --> 0:19:59.560
<v Speaker 1>variable that we can exclude for the sake of argument,

0:20:00.119 --> 0:20:03.119
<v Speaker 1>And the question is is it reasonable to exclude it

0:20:03.160 --> 0:20:05.399
<v Speaker 1>for the sake of argument or not? Right, because if

0:20:05.480 --> 0:20:08.560
<v Speaker 1>time is actually a factor, if speed is a factor

0:20:08.720 --> 0:20:11.920
<v Speaker 1>in determining what is is an intelligent then clearly you

0:20:12.000 --> 0:20:14.280
<v Speaker 1>can't just dismiss it. Right, Like if some if for

0:20:14.800 --> 0:20:18.240
<v Speaker 1>some reason, we discover that that the way that we

0:20:18.760 --> 0:20:22.680
<v Speaker 1>exhibit intelligence is dependent partly on the speed at which

0:20:22.800 --> 0:20:26.239
<v Speaker 1>our neural networks work, and then it is. But if

0:20:26.280 --> 0:20:28.399
<v Speaker 1>they did not work at that speed, we would not

0:20:28.560 --> 0:20:30.720
<v Speaker 1>be intelligent, That's what I'm saying. Like, if that were

0:20:30.800 --> 0:20:34.080
<v Speaker 1>the case, then we would you know, well we wouldn't

0:20:34.080 --> 0:20:36.119
<v Speaker 1>be having this argument because we wouldn't be able to.

0:20:36.280 --> 0:20:38.879
<v Speaker 1>But oh, the way you just phrased it made this

0:20:39.480 --> 0:20:42.600
<v Speaker 1>objection suddenly seem more reasonable to me. Actually, Like, what

0:20:42.720 --> 0:20:45.280
<v Speaker 1>if something that did all the same things a human

0:20:45.359 --> 0:20:49.399
<v Speaker 1>brain does, except did them at one one billiont the speed.

0:20:49.920 --> 0:20:53.040
<v Speaker 1>Would that have consciousness in the same way that we do? Well,

0:20:53.119 --> 0:20:54.800
<v Speaker 1>I don't know that we would all ever argue them

0:20:54.840 --> 0:20:57.600
<v Speaker 1>as sument have consciousness the same way. Well, not exactly,

0:20:57.720 --> 0:21:00.159
<v Speaker 1>but you know what I mean, has this intelligence and

0:21:00.280 --> 0:21:03.000
<v Speaker 1>part of this is also part of a separate but

0:21:03.160 --> 0:21:06.800
<v Speaker 1>related argument that talks about exactly how ego centric we're

0:21:06.800 --> 0:21:10.480
<v Speaker 1>being in our definition of intelligence and understanding, because that's

0:21:10.480 --> 0:21:11.879
<v Speaker 1>a huge part of it. I mean, you know, like

0:21:12.000 --> 0:21:15.200
<v Speaker 1>like if if we do we define intelligence based on

0:21:15.520 --> 0:21:18.560
<v Speaker 1>neural connections, because there are things out there who display

0:21:19.200 --> 0:21:23.800
<v Speaker 1>relatively intelligent behavior that don't have that on our planet Earth. Yeah,

0:21:23.960 --> 0:21:28.320
<v Speaker 1>I just think of them as incredibly lucky. They're just

0:21:28.440 --> 0:21:31.760
<v Speaker 1>on a They're just on a series of making their

0:21:31.800 --> 0:21:35.440
<v Speaker 1>saving throw against stupidity. That's all that's happening. Uh. Yeah.

0:21:35.560 --> 0:21:38.520
<v Speaker 1>Let me offer one more objection that's sort of more

0:21:38.600 --> 0:21:40.920
<v Speaker 1>on the practical edge I think, and that's sort of

0:21:41.080 --> 0:21:46.080
<v Speaker 1>the lack of diverse sensory grounding. So system, if a

0:21:46.200 --> 0:21:49.320
<v Speaker 1>system is only receiving input by pieces of paper being

0:21:49.320 --> 0:21:52.720
<v Speaker 1>shoved through a slot, that's extremely limiting. Yeah. Um, and

0:21:52.840 --> 0:21:55.760
<v Speaker 1>so okay. This is also known as the robot response

0:21:55.800 --> 0:21:59.440
<v Speaker 1>to the argument. Yeah so uh. This argument basically says

0:21:59.520 --> 0:22:02.879
<v Speaker 1>that what prevents the person in the room from understanding

0:22:03.000 --> 0:22:06.160
<v Speaker 1>Chinese is the lack of sensory grounding in the outside

0:22:06.200 --> 0:22:10.320
<v Speaker 1>world through diversity of cues like visual, auditory all that. So,

0:22:10.720 --> 0:22:14.920
<v Speaker 1>perhaps a computer designed only to manipulate symbols based on

0:22:15.040 --> 0:22:20.000
<v Speaker 1>instructions wouldn't understand language or wouldn't understand those symbols. But

0:22:20.359 --> 0:22:25.359
<v Speaker 1>if granted diverse sensory and put like video cameras haptic input, Basically,

0:22:25.440 --> 0:22:28.560
<v Speaker 1>if you made that computer into a robot that could

0:22:28.640 --> 0:22:31.320
<v Speaker 1>sample the world and all of the ways that we can,

0:22:31.760 --> 0:22:34.880
<v Speaker 1>the system actually would be able to understand what those

0:22:34.920 --> 0:22:38.920
<v Speaker 1>symbols mean. It's an interesting argument. Uh. Cyril of course

0:22:38.960 --> 0:22:42.159
<v Speaker 1>has his own counter which says that you could have

0:22:42.400 --> 0:22:46.240
<v Speaker 1>a string of numbers that to a person in that

0:22:46.440 --> 0:22:49.639
<v Speaker 1>room seemed to be meaningless, but are actually the readoubts

0:22:49.720 --> 0:22:52.119
<v Speaker 1>that a result of a video camera that's set up

0:22:52.520 --> 0:22:55.920
<v Speaker 1>pointing outside of the room, and it wouldn't magically make

0:22:56.040 --> 0:22:59.119
<v Speaker 1>things more meaningful to the person inside the room, and

0:22:59.160 --> 0:23:01.479
<v Speaker 1>that it would just create more work for him or her. Right,

0:23:01.640 --> 0:23:04.400
<v Speaker 1>you're just yeah, that's exactly what Sarl says, Like, all

0:23:04.440 --> 0:23:07.480
<v Speaker 1>you've done is just made more work. You haven't made it.

0:23:07.680 --> 0:23:11.800
<v Speaker 1>You haven't increased understanding or intelligence, You just increase the workload.

0:23:12.600 --> 0:23:16.159
<v Speaker 1>So that's an interesting counter argument. Although related to that

0:23:16.359 --> 0:23:18.440
<v Speaker 1>is the idea that that man in the room, and

0:23:18.680 --> 0:23:20.760
<v Speaker 1>this is kind of where it becomes a poor example,

0:23:20.800 --> 0:23:24.480
<v Speaker 1>would eventually learn Chinese due to his interactions with the

0:23:24.560 --> 0:23:28.320
<v Speaker 1>Chinese language. Oh so you're saying like that somehow, I mean,

0:23:28.440 --> 0:23:32.639
<v Speaker 1>it seems unlikely. But the person, even through just interacting

0:23:32.720 --> 0:23:36.399
<v Speaker 1>based on these instructions, would somehow gain an understanding that

0:23:36.520 --> 0:23:39.440
<v Speaker 1>given given long enough and giving given enough input, or

0:23:39.640 --> 0:23:43.560
<v Speaker 1>you know, maybe through enough questions about, for example, hamburgers,

0:23:43.720 --> 0:23:46.080
<v Speaker 1>the guy would know what a hamburger is and would

0:23:46.080 --> 0:23:48.680
<v Speaker 1>eventually connect the two things in his brain. See, I

0:23:48.760 --> 0:23:50.760
<v Speaker 1>have a real problem with that. I could I could

0:23:50.760 --> 0:23:55.960
<v Speaker 1>see where Joe in his room starts to receive, over

0:23:56.119 --> 0:24:00.880
<v Speaker 1>a great span of time, enough of one particular character

0:24:01.480 --> 0:24:05.600
<v Speaker 1>that he's remembered how the resulting character already needs to

0:24:05.640 --> 0:24:07.240
<v Speaker 1>be formed without having to look it up. He's just

0:24:07.359 --> 0:24:09.520
<v Speaker 1>he's done it enough times. But that doesn't mean he

0:24:09.640 --> 0:24:12.400
<v Speaker 1>knows what the input is or what the output means.

0:24:12.480 --> 0:24:14.880
<v Speaker 1>He just knows, Oh, I've done this five hundred times.

0:24:14.920 --> 0:24:16.480
<v Speaker 1>I know how to draw this without even having to

0:24:16.520 --> 0:24:19.960
<v Speaker 1>look it up. It's a good question, though, Actually, I

0:24:20.000 --> 0:24:23.920
<v Speaker 1>mean this sort of just intuitively assumes that while the

0:24:24.240 --> 0:24:26.440
<v Speaker 1>part we you can't question is that you could never

0:24:26.560 --> 0:24:29.960
<v Speaker 1>learn anything just from the symbols alone. But I don't know.

0:24:30.200 --> 0:24:33.399
<v Speaker 1>I mean what if you, I mean, imagine something like this,

0:24:33.560 --> 0:24:38.040
<v Speaker 1>So you receive sequences of symbols, and then based on

0:24:38.320 --> 0:24:41.400
<v Speaker 1>over like hundreds of years of doing this in the room,

0:24:41.880 --> 0:24:45.800
<v Speaker 1>you start to notice that certain sequences of symbols mirror

0:24:46.119 --> 0:24:49.879
<v Speaker 1>mirror the syntax of sentences you would recognize, like you

0:24:49.960 --> 0:24:53.480
<v Speaker 1>start to maybe understand part of speech or something well.

0:24:53.600 --> 0:24:56.720
<v Speaker 1>And then maybe from understanding part of speech, you could

0:24:56.760 --> 0:25:01.359
<v Speaker 1>start to understand more complex relationships between meanings. All right,

0:25:01.400 --> 0:25:03.720
<v Speaker 1>I think that part of the thought experiment assumes that

0:25:04.000 --> 0:25:07.000
<v Speaker 1>that that Joe sitting in the room is not thinking

0:25:07.200 --> 0:25:09.760
<v Speaker 1>at all about what he's doing, that he's merely following

0:25:09.840 --> 0:25:12.159
<v Speaker 1>the instructions. Yeah, it just seems to be sort of

0:25:12.240 --> 0:25:15.679
<v Speaker 1>like a condition of this thought experiment that you don't learn, right,

0:25:15.800 --> 0:25:18.440
<v Speaker 1>but you know, but but people do learn, and and

0:25:18.640 --> 0:25:21.200
<v Speaker 1>you know, people like Kurtswile talk a lot about about

0:25:21.280 --> 0:25:26.600
<v Speaker 1>machines also being a naturally emergent um forces just like

0:25:26.640 --> 0:25:30.080
<v Speaker 1>anything else in nature. I'm not going to dwell on

0:25:30.160 --> 0:25:33.440
<v Speaker 1>cards while too much, but but I will say I

0:25:33.520 --> 0:25:37.560
<v Speaker 1>will say that there have been some incredible developments in

0:25:37.680 --> 0:25:41.720
<v Speaker 1>machines learning or being able to derive information based upon

0:25:42.440 --> 0:25:45.440
<v Speaker 1>uh input, like sensory input. So we were talking just

0:25:45.560 --> 0:25:49.080
<v Speaker 1>now about the robot objection, right, the idea that by

0:25:49.119 --> 0:25:52.680
<v Speaker 1>adding the sensory input, the system might be able to

0:25:52.800 --> 0:25:56.119
<v Speaker 1>piece together more things and thus learn and have true intelligence.

0:25:56.960 --> 0:26:00.400
<v Speaker 1>So you guys know about the computer that the Cornell

0:26:00.520 --> 0:26:04.040
<v Speaker 1>people built that was able to derive Newton's laws of

0:26:04.119 --> 0:26:07.920
<v Speaker 1>physics by examining the movements of a pendulum. Right, I

0:26:08.000 --> 0:26:12.040
<v Speaker 1>had not heard about this. So they set a pendulum

0:26:12.080 --> 0:26:14.359
<v Speaker 1>in motion, they have a computer that was set up

0:26:14.440 --> 0:26:17.520
<v Speaker 1>to measure what was going on with the pendulum, and

0:26:17.680 --> 0:26:20.680
<v Speaker 1>the pendulum within or the computer, within about a day's time,

0:26:21.280 --> 0:26:25.840
<v Speaker 1>derived the basic law Newton's basic laws of physics because

0:26:26.000 --> 0:26:31.280
<v Speaker 1>it observed how the the pendulum moved and then extrapolated

0:26:31.320 --> 0:26:36.520
<v Speaker 1>from that what laws must guide the movements. So what's

0:26:36.560 --> 0:26:39.119
<v Speaker 1>it done for us lately? Well, I just think that

0:26:39.200 --> 0:26:42.640
<v Speaker 1>that's an interesting example of how a machine has been

0:26:42.720 --> 0:26:48.359
<v Speaker 1>able to seemingly learn something by observing. Now, again, I

0:26:48.440 --> 0:26:51.040
<v Speaker 1>think Searl would argue that the computer doesn't really know that,

0:26:51.480 --> 0:26:55.280
<v Speaker 1>but that the computer was able to make um conclusions

0:26:55.320 --> 0:26:57.840
<v Speaker 1>based upon input, right, And that all kind of kind

0:26:57.840 --> 0:26:59.639
<v Speaker 1>of ties back to what I was saying at the beginning.

0:26:59.680 --> 0:27:03.840
<v Speaker 1>About are kind of basic, the basic metaphors that we

0:27:03.960 --> 0:27:07.680
<v Speaker 1>use to describe computers and how we're we're essentially misrepresenting

0:27:07.720 --> 0:27:10.760
<v Speaker 1>computer syntax with our ideas of of ones and zeros,

0:27:10.800 --> 0:27:14.480
<v Speaker 1>because really it's all voltage and operations. It's not really reading.

0:27:14.520 --> 0:27:19.719
<v Speaker 1>A computer isn't reading information. It's it's chains of state changes. Um.

0:27:19.880 --> 0:27:22.320
<v Speaker 1>And it's it's hard for us to even conceive of

0:27:22.440 --> 0:27:26.360
<v Speaker 1>how how little computers understand because it seems like such

0:27:26.400 --> 0:27:31.000
<v Speaker 1>a compelling you know. Yeah, well that reminds me of

0:27:31.160 --> 0:27:35.840
<v Speaker 1>one more interesting objection to the Chinese room argument, which

0:27:35.960 --> 0:27:41.120
<v Speaker 1>is that, Okay, so Cearle isn't saying that no machine

0:27:41.280 --> 0:27:44.320
<v Speaker 1>could ever have intelligence. I mean, what cearl is talking

0:27:44.359 --> 0:27:51.399
<v Speaker 1>about is programmable machines, right, that are based on symbolic computation, says,

0:27:51.440 --> 0:27:54.400
<v Speaker 1>you know, essentially our brains are machines. He's not intelligence. Yeah,

0:27:54.440 --> 0:27:57.240
<v Speaker 1>he's not saying that this is magic. He's just saying that,

0:27:57.359 --> 0:28:00.280
<v Speaker 1>like computers in the way we think of computers can't

0:28:00.320 --> 0:28:04.880
<v Speaker 1>do this. Um. So there's another objection there. It's like, well,

0:28:05.080 --> 0:28:08.520
<v Speaker 1>maybe it's true that computers can't do this in the

0:28:08.560 --> 0:28:12.760
<v Speaker 1>way we think of, like programmed computers based on information processing,

0:28:12.880 --> 0:28:16.520
<v Speaker 1>you know ones and zeros, but maybe some other type

0:28:16.560 --> 0:28:19.920
<v Speaker 1>of synthetic machine could. Yeah. And of course, when you

0:28:20.040 --> 0:28:23.399
<v Speaker 1>put it that way, I mean the possibilities are impossible

0:28:23.440 --> 0:28:25.560
<v Speaker 1>for us to even contain. We don't know what that

0:28:25.600 --> 0:28:28.119
<v Speaker 1>would look like. The only types of computers we can

0:28:28.200 --> 0:28:30.720
<v Speaker 1>think of to be based on these symbols. So I

0:28:30.840 --> 0:28:32.720
<v Speaker 1>was thinking, like, when I was thinking about the touring

0:28:32.760 --> 0:28:35.879
<v Speaker 1>test in the Chinese room, there was one computer in

0:28:35.920 --> 0:28:39.080
<v Speaker 1>particular that kept popping up to mind, something that appears

0:28:39.160 --> 0:28:41.880
<v Speaker 1>to be intelligent based upon the way it behaved, And

0:28:41.960 --> 0:28:44.720
<v Speaker 1>I was thinking of IBM S Watson. Obviously, you know,

0:28:44.840 --> 0:28:47.560
<v Speaker 1>Watson being the computer that competed on Jeopardy and now

0:28:47.760 --> 0:28:52.120
<v Speaker 1>is trying to uh help trying doctors are trying to

0:28:52.200 --> 0:28:55.920
<v Speaker 1>use it to help with medical diagnoses and things of

0:28:56.000 --> 0:28:59.000
<v Speaker 1>that nature. But if you watched any of those episodes

0:28:59.000 --> 0:29:01.160
<v Speaker 1>of Jeopardy where wats and was one of the contestants

0:29:01.200 --> 0:29:04.320
<v Speaker 1>and was going up against two former champions, it appeared

0:29:04.400 --> 0:29:07.880
<v Speaker 1>that Watson was fairly intelligent thing. I mean, it was

0:29:07.920 --> 0:29:10.120
<v Speaker 1>able to beat the champions at their own game. Spoiler

0:29:10.120 --> 0:29:11.960
<v Speaker 1>alert for anyone who wasn't watched Jeopardy in the last

0:29:12.080 --> 0:29:15.720
<v Speaker 1>few years, but you know, it was able to parse

0:29:16.880 --> 0:29:21.960
<v Speaker 1>sometimes pretty complicated clues, go through all of the information

0:29:22.080 --> 0:29:23.960
<v Speaker 1>that was stored on the computer because it didn't have

0:29:24.000 --> 0:29:27.920
<v Speaker 1>any connection to the internet during those games, and try

0:29:27.960 --> 0:29:30.800
<v Speaker 1>and determine what the best answer was, or best question

0:29:30.960 --> 0:29:33.320
<v Speaker 1>in the case of Jeopardy was to that particular clue.

0:29:34.240 --> 0:29:37.160
<v Speaker 1>And that's a you know, that's pretty tricky stuff. It's

0:29:37.200 --> 0:29:38.800
<v Speaker 1>one of those things where you know, you would say,

0:29:38.880 --> 0:29:42.400
<v Speaker 1>even smart people have trouble sometimes on Jeopardy. We've seen it.

0:29:42.640 --> 0:29:47.080
<v Speaker 1>So but again Searle would say, yeah, the computer didn't

0:29:47.120 --> 0:29:50.360
<v Speaker 1>necessarily understand what it was doing. It was able to

0:29:50.800 --> 0:29:54.720
<v Speaker 1>break this apart and look for clues using various search

0:29:54.800 --> 0:29:59.720
<v Speaker 1>algorithms and probabilistic models to determine what was probably the

0:29:59.840 --> 0:30:03.760
<v Speaker 1>right answer, but didn't actually understand any of that content.

0:30:04.400 --> 0:30:06.640
<v Speaker 1>That would be Searles or right. Even though even though

0:30:06.720 --> 0:30:09.920
<v Speaker 1>Jeopardy is not you know, direct direct question and answer

0:30:10.040 --> 0:30:11.680
<v Speaker 1>kind of things, it's a lot of it's based on

0:30:12.000 --> 0:30:14.440
<v Speaker 1>cultural understanding or puns. But that's the kind of thing

0:30:14.520 --> 0:30:16.440
<v Speaker 1>that Watson is really good at parsing because it just

0:30:16.560 --> 0:30:18.640
<v Speaker 1>has enough stuff in there. It's got a lot of

0:30:18.760 --> 0:30:21.800
<v Speaker 1>natural language processing ability that I mean that is part

0:30:21.840 --> 0:30:25.240
<v Speaker 1>of artificial intelligence. And again, you know, Searle was never

0:30:25.360 --> 0:30:28.440
<v Speaker 1>saying that artificial intelligence is as a fool's errand, but

0:30:28.720 --> 0:30:32.120
<v Speaker 1>rather that you know, defining it as strong AI versus

0:30:32.200 --> 0:30:35.960
<v Speaker 1>weak AI, and and his skepticism that strong AI is

0:30:36.040 --> 0:30:39.000
<v Speaker 1>something that we could attain with the current version of

0:30:39.040 --> 0:30:41.160
<v Speaker 1>computing as we know it. Right, Okay, So now that

0:30:41.200 --> 0:30:43.360
<v Speaker 1>we've talked about it, Yeah, where do you come down?

0:30:43.680 --> 0:30:47.760
<v Speaker 1>Is already intelligent? Did already understand the friendship you had

0:30:47.840 --> 0:30:52.240
<v Speaker 1>with him? No one understands the friendship they had with me. Um.

0:30:53.240 --> 0:30:55.680
<v Speaker 1>I mean I think I think no, based on our

0:30:55.760 --> 0:30:59.520
<v Speaker 1>based on our basic definitions of intelligence. But I again

0:31:00.000 --> 0:31:02.560
<v Speaker 1>would argue more on the side of of that our

0:31:02.640 --> 0:31:05.320
<v Speaker 1>definitions are flawed and that as we move forward into

0:31:05.360 --> 0:31:08.760
<v Speaker 1>this incredible future, that we maybe need to think really

0:31:08.880 --> 0:31:11.959
<v Speaker 1>hard about what we're calling intelligent and how we're I mean,

0:31:12.040 --> 0:31:14.720
<v Speaker 1>I'm just saying that I don't want, you know, AI

0:31:15.560 --> 0:31:18.600
<v Speaker 1>artificial intelligence like the Steven Spielberg Stanley Kubrick flick too

0:31:19.520 --> 0:31:26.080
<v Speaker 1>to come into reality. What a film? You know, So

0:31:26.680 --> 0:31:31.480
<v Speaker 1>I intuitively feel like already would not actually be intelligent.

0:31:32.000 --> 0:31:35.760
<v Speaker 1>But I also, especially in areas like this where we

0:31:35.840 --> 0:31:40.760
<v Speaker 1>have so little understanding, I feel disinclined to trust my intuitions.

0:31:41.320 --> 0:31:44.840
<v Speaker 1>I think my intuitions very likely could be leading me astray. Well,

0:31:44.880 --> 0:31:47.520
<v Speaker 1>you certainly, I mean, we have a bias, honestly, and

0:31:48.080 --> 0:31:52.080
<v Speaker 1>that's that that's undeniable. So I would say, particularly the

0:31:52.280 --> 0:31:55.880
<v Speaker 1>system's response to CYL makes a lot of sense to me.

0:31:56.120 --> 0:31:59.560
<v Speaker 1>I don't feel it. I don't feel like it's true intuitively,

0:32:00.280 --> 0:32:04.000
<v Speaker 1>but thinking about it abstract ly, I can absolutely see

0:32:04.120 --> 0:32:07.200
<v Speaker 1>how that is a reasonable answer. Well, I mean, the

0:32:08.160 --> 0:32:10.760
<v Speaker 1>example I could give to you on a biological level

0:32:10.920 --> 0:32:13.560
<v Speaker 1>is that, you know, I can speak a little French,

0:32:14.080 --> 0:32:17.240
<v Speaker 1>but if you take any single neuron, or even in

0:32:17.280 --> 0:32:20.160
<v Speaker 1>any single synapse out of my brain, it can't speak French.

0:32:20.840 --> 0:32:24.000
<v Speaker 1>It's you know, you can't. You know. So, judging one

0:32:24.120 --> 0:32:26.959
<v Speaker 1>element of a system and saying that that one element

0:32:27.040 --> 0:32:30.600
<v Speaker 1>proves that the entire system can't do something seems to

0:32:30.680 --> 0:32:34.000
<v Speaker 1>be shortsighted. Cyril, of course, has his own responses to that.

0:32:34.120 --> 0:32:36.160
<v Speaker 1>That's not that's not the end of the argument, and

0:32:36.200 --> 0:32:39.240
<v Speaker 1>I just broken. I don't consider him refuted, But I

0:32:39.360 --> 0:32:42.680
<v Speaker 1>think that objection is interesting. It is interesting, I agree,

0:32:42.800 --> 0:32:45.480
<v Speaker 1>entirely interesting, but not you know, not the end all

0:32:45.560 --> 0:32:49.160
<v Speaker 1>of this, like we said, there are people way smarter

0:32:49.320 --> 0:32:53.160
<v Speaker 1>than us who are continuously debating this and and expanding

0:32:53.440 --> 0:32:58.080
<v Speaker 1>our UH knowledge. And sometimes they're focusing definitions, sometimes they

0:32:58.120 --> 0:33:03.040
<v Speaker 1>are completely scrapping definitions and starting from scratch. So it's

0:33:03.480 --> 0:33:05.600
<v Speaker 1>the best thing about all of this is that it's

0:33:05.640 --> 0:33:09.600
<v Speaker 1>going to inform future engineers who are working on artificial

0:33:09.640 --> 0:33:13.680
<v Speaker 1>intelligence problems. And it may very well be that either

0:33:13.840 --> 0:33:17.160
<v Speaker 1>we will never create any sort of entity that has

0:33:17.320 --> 0:33:19.920
<v Speaker 1>strong AI, or that we do but we have no

0:33:20.080 --> 0:33:22.920
<v Speaker 1>way of knowing that we did it. But no matter what,

0:33:23.160 --> 0:33:25.800
<v Speaker 1>it means that we're going to make improvements in that field.

0:33:25.880 --> 0:33:29.320
<v Speaker 1>We're going to have computers that are better able to

0:33:29.520 --> 0:33:33.840
<v Speaker 1>react to things like natural language commands, and that will

0:33:33.960 --> 0:33:37.120
<v Speaker 1>in turn benefit us. So while this whole discussion might

0:33:37.160 --> 0:33:40.920
<v Speaker 1>have seemed philosophical and that there was no real practical application,

0:33:41.200 --> 0:33:44.760
<v Speaker 1>the reality is exactly the opposite. Well, and if there

0:33:44.960 --> 0:33:47.520
<v Speaker 1>is such a thing as strong AI, you better believe

0:33:47.640 --> 0:33:50.560
<v Speaker 1>this has practical application, and we certainly should be thinking

0:33:50.600 --> 0:33:53.520
<v Speaker 1>about it. I mean, just on the legal and moral basis, right,

0:33:53.760 --> 0:33:55.840
<v Speaker 1>just on the off chance that there is such a

0:33:55.920 --> 0:33:59.000
<v Speaker 1>thing as the understanding and experience of being already I

0:33:59.120 --> 0:34:01.440
<v Speaker 1>think it's worth conser. Still not giving a toaster the

0:34:01.520 --> 0:34:04.120
<v Speaker 1>right to vote, guys, still not doing it. I'm not

0:34:04.240 --> 0:34:07.040
<v Speaker 1>gonna do it, alright. So that wraps up this discussion

0:34:07.120 --> 0:34:11.440
<v Speaker 1>of artificial intelligence of the Chinese Room Thought experiment. And uh,

0:34:11.560 --> 0:34:14.000
<v Speaker 1>while I sound cold, I'm I don't really subscribe to

0:34:14.320 --> 0:34:16.719
<v Speaker 1>the things I say. Sometimes. Oh I always vote for

0:34:16.760 --> 0:34:21.000
<v Speaker 1>toasters day. They believe in caramelization, and that's wonderful. That's okay,

0:34:21.160 --> 0:34:24.000
<v Speaker 1>that's fair. All right. So guys, if you have enjoyed this,

0:34:24.120 --> 0:34:26.200
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0:34:26.280 --> 0:34:31.680
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0:34:32.000 --> 0:34:34.080
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0:34:34.160 --> 0:34:36.960
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