WEBVTT - Testing With Turing

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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 the everyone, and welcome to Forward Thinking,

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<v Speaker 1>the podcast that looks at the future and says Marvin,

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<v Speaker 1>I love you. I'm Jonathan Strickland and I'm Joe McCormick. Joe,

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<v Speaker 1>I got a question for you, Okay, ask me a question.

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<v Speaker 1>What did you have for lunch today? I don't want

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<v Speaker 1>to talk about that. That's personal, Okay, fine, all right, Well,

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<v Speaker 1>what was the last movie you saw? Movies are weird

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<v Speaker 1>these days, you know. I'm going to ask one more question, Joe.

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<v Speaker 1>Who's your favorite person to work with in the office?

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<v Speaker 1>Obviously you Joe? One one? I lied one last question?

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<v Speaker 1>Are you? Are you human? Why would you ask? Of course,

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<v Speaker 1>your responses have left the question somewhat vague. I'm not

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<v Speaker 1>really sure. So it could be that you are, in

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<v Speaker 1>fact some sort of simulation that is drawing upon a

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<v Speaker 1>massive data bank of pre determined answers to questions, and

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<v Speaker 1>and you're just drawing from that, and you're not actually

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<v Speaker 1>genuinely coming up with responses. Why would you say that?

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<v Speaker 1>Tell me more about your feelings? Are doctor space Zo

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<v Speaker 1>or Eliza? We wanted to talk today? About artificial intelligence

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<v Speaker 1>and the Touring test and whether or not the Touring

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<v Speaker 1>test is in fact a good test for artificial intelligence

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<v Speaker 1>and what exactly is it and and it does it

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<v Speaker 1>doesn't really do what we think it does, because there

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<v Speaker 1>is that huge news story a couple of weeks back,

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<v Speaker 1>a couple of weeks back, being in June of where

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<v Speaker 1>in uh, Eugene Goostman, who is a chat butt, not

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<v Speaker 1>a real human, not a real human, um it is

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<v Speaker 1>a chat butt, I suppose it's more technically correct, was

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<v Speaker 1>announced to have passed the Turing test for the first

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<v Speaker 1>time kind of sort of, well, not for the first

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<v Speaker 1>time for this program. A lot of the media coverage

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<v Speaker 1>suggested like, for the first time a computer program has

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<v Speaker 1>quote passed the Turing test or quote beaten the Turing test,

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<v Speaker 1>which there are multiple issues that we need to address

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<v Speaker 1>to to actually talk about that, But first let's let's

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<v Speaker 1>go on and explain what what Goostman did. Well, what

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<v Speaker 1>it definitely did was full ten of thirty judges, which

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<v Speaker 1>is thirty three for anyone following along doing the math

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<v Speaker 1>at home that we're participating in a celebration of turning

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<v Speaker 1>on the sixtieth anniversary of his death. It was a

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<v Speaker 1>celebrity guest judge panel. It was pretty fancy. There was

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<v Speaker 1>one of the actors from Red Dwarf on there and

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<v Speaker 1>by fool amument that the computer program tricked them into

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<v Speaker 1>thinking it was a human, right right. This program has

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<v Speaker 1>been around since about two thousand one, when a team

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<v Speaker 1>out of the Ukraine began designing it, and it poses

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<v Speaker 1>as a thirteen year old boy from Odessa, Ukraine. It's

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<v Speaker 1>taken part in a few different competitions like this over

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<v Speaker 1>the years, and you can even find a version online

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<v Speaker 1>if you want to play around with it. But the

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<v Speaker 1>news that this news that really brought it into the

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<v Speaker 1>public eye was a press release again yes, claiming that

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<v Speaker 1>it was the first chatbot to pass the Turing test

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<v Speaker 1>in an open ended event. And open ended is kind

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<v Speaker 1>of one of those keywords here, because a lot of

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<v Speaker 1>competitions in which chatbots are put up against the Turing

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<v Speaker 1>Test involve a closed series of questions that is predetermined.

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<v Speaker 1>It's a specific set of parameters. Either you are only

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<v Speaker 1>allowed to ask certain questions, or the whole interview took

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<v Speaker 1>place before the event and you are reviewing a transcript

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<v Speaker 1>and then have to determine whether or not the participant

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<v Speaker 1>was a human or a machine. So those are generally speaking,

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<v Speaker 1>the different variations on this. We'll we'll get more into

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<v Speaker 1>the actual touring test in a second, but that's sort

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<v Speaker 1>of how they are performed these days, right, and so

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<v Speaker 1>this achievement is pretty cool. But it did get way

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<v Speaker 1>crazy over hyped in the media, I think largely because

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<v Speaker 1>the press release, which was mostly a quotation from one

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<v Speaker 1>Dr Kevin Warwick, who was an engineer slash futurist, slash provocateur,

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<v Speaker 1>slash cyborg right form, he designed it to be kind

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<v Speaker 1>of overhyped, which means that it did drum up public

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<v Speaker 1>interest in touring and chat bots and artificial intelligence and

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<v Speaker 1>technology at large, which is totally awesome. But the fact

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<v Speaker 1>that the news media wasn't quite sure what the turing

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<v Speaker 1>test was, or how this chat bought was interacting with it,

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<v Speaker 1>or the fact that this was a chat bought and not,

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<v Speaker 1>for example, a supercomputer, which is a ludicrous concept. Lots

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<v Speaker 1>of people supercomputer defeat touring test. No, it was a

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<v Speaker 1>it was software, Yes it was. It was a program,

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<v Speaker 1>was independent, independent of hardware, It could run on lots

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<v Speaker 1>of different types of hardware. Probably your smartphone, for example.

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<v Speaker 1>So so we might need a new Turing test, right,

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<v Speaker 1>So before we talk about new Turing tests, let's talk

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<v Speaker 1>about the old one. Shall we maybe make a distinction

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<v Speaker 1>between what idea actually came from the early computer scientists,

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<v Speaker 1>Alan Touring, and how that has evolved into what we

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<v Speaker 1>popularly think of as the Turing test today. Was just

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<v Speaker 1>talking about. Yeah, yeah, so Touring test in general is

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<v Speaker 1>kind of a misnomer because Touring He wrote a paper

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<v Speaker 1>in nineteen fifty in which he was discussing the idea

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<v Speaker 1>of machine intelligence and whether machines could actually possess intelligence,

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<v Speaker 1>And his philosophy was that machines could demonstrate behaviors that

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<v Speaker 1>we associate we humans associate with human intelligence, right, and

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<v Speaker 1>that if a machine could produce such behavior reliably, then

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<v Speaker 1>it stands to reason that we call that machine intelligent,

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<v Speaker 1>because it, to all appearances is intelligent. Therefore we might

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<v Speaker 1>as well go ahead and extended the courtesy. So that

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<v Speaker 1>was generally what he was saying, And he said that

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<v Speaker 1>he believed that by a fifty years time, which would

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<v Speaker 1>be the year two thousand, a typical computer of sufficient

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<v Speaker 1>power and sophistication would be able to fool people thirty

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<v Speaker 1>pc of the time that it was in fact a

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<v Speaker 1>human and not a machine, that that was the level

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<v Speaker 1>of sophistication he expected. And this was more of a prediction,

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<v Speaker 1>not a test. People have since looked at it as

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<v Speaker 1>being a kind of test to apply to computers to

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<v Speaker 1>see whether or not they pass this bar for machine intelligence,

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<v Speaker 1>which is sort of a reverse engineering. Look at what

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<v Speaker 1>he was talking about now. He used a specific example

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<v Speaker 1>in his in his uh explanation of fooling someone thinking

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<v Speaker 1>it was human, and that was a variation on something

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<v Speaker 1>he called the imitation game. And the imitation game is

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<v Speaker 1>a game. It's a part the game. Yeah. The original

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<v Speaker 1>idea would be that you have three players. You've got

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<v Speaker 1>an interrogator who could be a man or a woman,

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<v Speaker 1>and then you have a male player and a female

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<v Speaker 1>player who will be interrogated. All three people are separated

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<v Speaker 1>from one another. They are not able to see and

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<v Speaker 1>preferably not be able to hear one another, right, communicating

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<v Speaker 1>through right and preferably communicating through teletype or some other

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<v Speaker 1>form of non handwriting communication, just in case handwriting would

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<v Speaker 1>give away some form of gender identity. Right, because it's

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<v Speaker 1>the interviewer's job to figure out which of the participants

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<v Speaker 1>is the man and which is the woman, right, and

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<v Speaker 1>it's the man player's job to try and trick the interrogator.

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<v Speaker 1>It's the female player's job to try and get the

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<v Speaker 1>interrogator to get the answer correct. So the man will

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<v Speaker 1>attempt to throw doubt into the situation, and the interrogator

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<v Speaker 1>has to figure out without any other like visual or

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<v Speaker 1>audible cues, who is who, And Touring said, well, let's

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<v Speaker 1>replay this with saying it's a human interrogator, and then

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<v Speaker 1>you have a human respond it and a machine responded

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<v Speaker 1>as the interrogator's job to figure out whether or not

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<v Speaker 1>the entity he or she is talking to is in

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<v Speaker 1>fact human or machine, and suggested that by the year

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<v Speaker 1>two thousand, computers would be at a level sophisticate enough

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<v Speaker 1>where thirty percent of the time you would not be

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<v Speaker 1>able to tell you would you know, or thirty if

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<v Speaker 1>you prefer, of the people who would interview said machine

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<v Speaker 1>would be unable to tell that it was a machine.

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<v Speaker 1>So Turing didn't really lay out a path to how

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<v Speaker 1>this would be achieved, did he? More or less, he

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<v Speaker 1>he talked about the principles of computer science and that

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<v Speaker 1>they would become more and more sophisticated to the point

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<v Speaker 1>where this would become possible, but did not, in fact

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<v Speaker 1>layout like, here's my fifty year plan for making computers intelligence.

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<v Speaker 1>I guess he probably he wasn't talking about natural language

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<v Speaker 1>processing algorithms and such stuff. No, no, no, it was

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<v Speaker 1>our general approach was talking about the idea of a

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<v Speaker 1>machine possessing the general intelligence that would allow it to

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<v Speaker 1>do something right. This is this was more of a

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<v Speaker 1>philosophical perspective than anything else. And uh. On top of that,

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<v Speaker 1>there were a lot of people who disagreed with Tourings philosophy.

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<v Speaker 1>They said, you know, you're saying that because you're able

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<v Speaker 1>to mimic intelligence that that means you have some form

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<v Speaker 1>of possession of intelligence. You've asserted this without providing any

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<v Speaker 1>actual proof. One of the criticisms I read specifically stated

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<v Speaker 1>that one of the things I had said earlier was

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<v Speaker 1>how we say, if a machine appears to be intelligent,

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<v Speaker 1>we might as well say it is intelligent. And uh.

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<v Speaker 1>And one interpretation of that is that touring would say, well,

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<v Speaker 1>let's say two people are talking to one another. They

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<v Speaker 1>each assumed the other person possesses intelligence, partly because of

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<v Speaker 1>the conversation that's going on. Therefore, if a machine were

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<v Speaker 1>able to hold a conversation with you, wouldn't it be

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<v Speaker 1>just party is to go ahead? And a shouldn't it

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<v Speaker 1>be entitled to write? Whereas the critic I read said, well,

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<v Speaker 1>to be fair, humans pretty much assume that other humans

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<v Speaker 1>possess intelligence. It has nothing to do with the conversation.

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<v Speaker 1>It has everything to do with the human being a human,

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<v Speaker 1>Which doesn't necessarily mean it's based upon any kind of

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<v Speaker 1>science or any kind of rational approach, but that is

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<v Speaker 1>how humans are. I mean humans are also a little

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<v Speaker 1>bit on the irrational side. I mean we we kind

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<v Speaker 1>of also extend that courtesy to like our pets, which

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<v Speaker 1>you know, yeah, we we at least we at least

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<v Speaker 1>in in ways that we write about and and verbalize,

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<v Speaker 1>will anthropomorphize lots of stuff, sure, like like our toaster.

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<v Speaker 1>Given enough capacity, we go like, that's a good smart toaster,

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<v Speaker 1>or we'll say some things like this toaster hates me.

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<v Speaker 1>It burns it either either just warms the bread or

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<v Speaker 1>it burns it to a crisp. It just hates me.

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<v Speaker 1>And that's when we're projecting things upon these objects that

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<v Speaker 1>they don't inherently possess. But part of this philosophical argument

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<v Speaker 1>is that we're really only assuming that other humans have

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<v Speaker 1>this intelligence, right, I mean it's tied into sort of

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<v Speaker 1>the philosophical problem of solipsism. It's a thing nobody wants

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<v Speaker 1>to assume that they are the only mind in the universe,

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<v Speaker 1>or some people might want to assume that, but hopefully

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<v Speaker 1>nobody wants to don't want to assume it, but proved

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<v Speaker 1>me wrong, is what I'm saying. It's one of those

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<v Speaker 1>where you just operate day to day under the assumption

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<v Speaker 1>that that is not the case, but you have no

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<v Speaker 1>way to prove it's not the case. But philosophy aside,

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<v Speaker 1>the turn test is being used as a very practical

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<v Speaker 1>means of evaluating AI these days, right, at least as

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<v Speaker 1>far as being able to mimic a humans ability to

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<v Speaker 1>hold a conversation. Right. So, Yeah, it's sort of moved

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<v Speaker 1>beyond the bounds of this philosophical discussion in which it

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<v Speaker 1>was originally proposed, and now it has become a thing

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<v Speaker 1>people try to do. Yeah, it's become something that has

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<v Speaker 1>been uh a goal in of itself, which again has

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<v Speaker 1>become part of a growing conversation around AI and whether

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<v Speaker 1>or not that's a legitimate goal sure, which is partially

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<v Speaker 1>cool because it's encouraging competition and a good kind of

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<v Speaker 1>sense of go get them fun amongst a lot of

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<v Speaker 1>of programmers and computer scientists and thinkers, whereas other people say, yeah,

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<v Speaker 1>but it's kind of diverting attention away from real problems

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<v Speaker 1>and machine intelligence that need to have more work put

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<v Speaker 1>into them. But everyone's worried about making chat bought two

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<v Speaker 1>thousand full of people that it's actually you know, Bob

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<v Speaker 1>from Minnesota. Yeah. Whether or not those people were actors

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<v Speaker 1>on Red Dwarf, yeah, it doesn't matter. Okay. So in

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<v Speaker 1>the in the sort of popular thinking today, the popular

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<v Speaker 1>tech thinking, what is the Turing test? Now? What? What

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<v Speaker 1>does what does it mean when someone says I've beaten

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<v Speaker 1>the Turing tests? The Turing test today is based again

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<v Speaker 1>on that prediction that by two thousand a computer would

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<v Speaker 1>be able a full thirty percent of the time, or

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<v Speaker 1>in thirty percent of the cases, the computer would be

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<v Speaker 1>able to fool someone that it itself was a human being.

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<v Speaker 1>So now we've taken that on and turned it on

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<v Speaker 1>its head and said, the Touring test is a test

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<v Speaker 1>where if a chatbot is able to convince a human

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<v Speaker 1>interviewer that it in fact is a human or more

0:13:20.920 --> 0:13:23.800
<v Speaker 1>of the time it passes the touring test and it is,

0:13:24.559 --> 0:13:28.360
<v Speaker 1>I guess, showing some form of intelligence. I mean, that's

0:13:28.360 --> 0:13:30.439
<v Speaker 1>the that's the real problem where it all breaks down

0:13:30.559 --> 0:13:34.160
<v Speaker 1>right as the definition of intelligence. And part of it

0:13:34.200 --> 0:13:36.680
<v Speaker 1>was just let's see if we can create a program

0:13:36.720 --> 0:13:40.080
<v Speaker 1>sophisticated enough so that it can respond to questions in

0:13:40.120 --> 0:13:44.079
<v Speaker 1>a way that is natural and will fool folks into thinking, oh,

0:13:44.120 --> 0:13:46.560
<v Speaker 1>it's another human being on the other end of this terminal.

0:13:46.720 --> 0:13:48.600
<v Speaker 1>And as we've talked about before on this show, the

0:13:48.679 --> 0:13:52.280
<v Speaker 1>problem of computers understanding natural language is a huge one.

0:13:52.360 --> 0:13:55.319
<v Speaker 1>So it's not a terrible benchmark as benchmarks go. No,

0:13:55.800 --> 0:13:59.160
<v Speaker 1>it can in fact improve lots of different areas and

0:13:59.280 --> 0:14:01.719
<v Speaker 1>artificial and elligience. It's just a question of how do

0:14:01.760 --> 0:14:03.880
<v Speaker 1>you implement it. If you're implementing it in a very

0:14:03.920 --> 0:14:07.640
<v Speaker 1>superficial way, you might be able to get some some

0:14:07.800 --> 0:14:12.000
<v Speaker 1>fairly interesting results from an actual quote unquote touring test

0:14:12.040 --> 0:14:14.839
<v Speaker 1>where you submit this to judges and the judges believe

0:14:14.920 --> 0:14:16.760
<v Speaker 1>in fact that it is a human. But you might

0:14:16.800 --> 0:14:20.360
<v Speaker 1>be doing so using essentially smoke and mirrors away where

0:14:20.600 --> 0:14:24.440
<v Speaker 1>the computer does not have any real natural language processing

0:14:24.480 --> 0:14:27.160
<v Speaker 1>ability to it. It just responds in a way that

0:14:27.280 --> 0:14:30.080
<v Speaker 1>convinces the judges that it, in fact is a human.

0:14:30.440 --> 0:14:33.600
<v Speaker 1>It's got some clever tricks, right. And in fact, most

0:14:33.680 --> 0:14:36.440
<v Speaker 1>of the chatbots that have passed the Turing test, and

0:14:37.360 --> 0:14:39.320
<v Speaker 1>this has gone back to the nineteen seventies, is it's

0:14:39.360 --> 0:14:42.360
<v Speaker 1>not a new thing that has just happened. Whoa you

0:14:42.400 --> 0:14:45.440
<v Speaker 1>said past the Turing test? I mean, I thought based

0:14:45.480 --> 0:14:48.600
<v Speaker 1>on the media reporting that the thirteen year old Ukrainian boy,

0:14:48.680 --> 0:14:51.800
<v Speaker 1>the fake thirteen year old Ukrainian boy, Eugene Goostman was

0:14:51.840 --> 0:14:55.040
<v Speaker 1>the first to pass. No, we we previously to that

0:14:55.120 --> 0:14:59.960
<v Speaker 1>had a fake paranoid schizophrenic yeah, Perry r r y

0:15:00.240 --> 0:15:05.160
<v Speaker 1>and a fake psychologist Eliza Eliza. Yeah, so Eliza was

0:15:05.440 --> 0:15:07.840
<v Speaker 1>a program. In fact, Eliza is probably the first really

0:15:07.880 --> 0:15:11.600
<v Speaker 1>well known chatbot that kind of I didn't necessary to

0:15:12.240 --> 0:15:15.760
<v Speaker 1>probably heard me doing a little bit of Aliza earlier.

0:15:15.760 --> 0:15:20.360
<v Speaker 1>It's a Rogerian psychiatrist personality. Actually, Eliza had several different

0:15:20.400 --> 0:15:23.520
<v Speaker 1>personalities she could assume, but the doctor one is the

0:15:23.560 --> 0:15:27.440
<v Speaker 1>most popular of the most well known of all the variations.

0:15:27.840 --> 0:15:31.720
<v Speaker 1>And then you have Perry who mimic the behavior of

0:15:31.760 --> 0:15:36.120
<v Speaker 1>a paranoid schizophrenic, including a backstory. The the programmer for

0:15:36.160 --> 0:15:41.480
<v Speaker 1>Perry created basic facts about Perry that Perry would share,

0:15:42.080 --> 0:15:46.360
<v Speaker 1>sometimes spontaneously or or if you just got quote unquote

0:15:46.360 --> 0:15:50.520
<v Speaker 1>frustrated they were. The way this would work is that

0:15:50.560 --> 0:15:53.320
<v Speaker 1>the program would analyze what was being said just by

0:15:53.320 --> 0:15:55.920
<v Speaker 1>looking for certain keywords and then trying to create us.

0:15:55.920 --> 0:16:00.760
<v Speaker 1>And it's based on those keywords. Not really a sophisticate analysis.

0:16:00.840 --> 0:16:04.200
<v Speaker 1>It was just very basic, and Perry would occasionally throw

0:16:04.240 --> 0:16:08.120
<v Speaker 1>in complete non sequadors, but in a paranoid schizophrenic kind

0:16:08.120 --> 0:16:10.880
<v Speaker 1>of way, which was convincing enough to at least full

0:16:11.040 --> 0:16:15.080
<v Speaker 1>some psychiatrists who were reading transcripts of interviews with Perry

0:16:15.120 --> 0:16:17.880
<v Speaker 1>and saying, no, this actually sounds like it could be

0:16:17.920 --> 0:16:21.040
<v Speaker 1>a human being. Okay, so it sounds like in all

0:16:21.160 --> 0:16:24.920
<v Speaker 1>these cases we're dealing with a chat about that is

0:16:24.960 --> 0:16:29.760
<v Speaker 1>this assuming the personality of sort of a specialized interlocutor, like, uh,

0:16:30.120 --> 0:16:33.320
<v Speaker 1>you have a doctor who has a very particular way

0:16:33.360 --> 0:16:35.800
<v Speaker 1>of talking, meaning not really responding to what you're saying

0:16:35.840 --> 0:16:37.680
<v Speaker 1>and just saying how does that make you feel? Right?

0:16:37.920 --> 0:16:41.280
<v Speaker 1>Or you have a paranoid schizophrenic who's sort of range

0:16:41.320 --> 0:16:45.160
<v Speaker 1>of response is naturally very limited, especially a skewed a

0:16:45.240 --> 0:16:49.000
<v Speaker 1>skewed view of reality, or or you have Eugene Goostman,

0:16:49.080 --> 0:16:52.040
<v Speaker 1>even the more recent one, who has probably a limited

0:16:52.120 --> 0:16:55.800
<v Speaker 1>command of English and a limited understanding of the popular

0:16:55.880 --> 0:16:59.600
<v Speaker 1>culture outside of his own community. Just all the world

0:16:59.640 --> 0:17:01.800
<v Speaker 1>works in general. If you're talking about a thirteen year old,

0:17:01.840 --> 0:17:04.680
<v Speaker 1>you're not going to have the expectation of maturity and

0:17:04.720 --> 0:17:08.879
<v Speaker 1>sophistication at the world. So so that's a big criticism

0:17:09.920 --> 0:17:13.520
<v Speaker 1>year olds listening who are probably fabulous humans. You're probably you,

0:17:13.520 --> 0:17:17.680
<v Speaker 1>You're You're the exception, okay, but all those other year olds,

0:17:17.840 --> 0:17:21.280
<v Speaker 1>you're the future. And you know what Cheers was about.

0:17:22.280 --> 0:17:27.480
<v Speaker 1>So we'll get into that. So the the the point

0:17:27.560 --> 0:17:31.320
<v Speaker 1>here is that we have not seen really an example

0:17:31.359 --> 0:17:34.320
<v Speaker 1>of a chat bot that is able to assume the

0:17:34.440 --> 0:17:38.160
<v Speaker 1>role of a typical however you wanted to find that,

0:17:38.359 --> 0:17:41.920
<v Speaker 1>you know, average human being who communicates and whatever the

0:17:42.000 --> 0:17:45.760
<v Speaker 1>language of choice happens to be, usually as English. But

0:17:45.840 --> 0:17:49.600
<v Speaker 1>let's say that we had a the ideal goal here

0:17:49.640 --> 0:17:54.520
<v Speaker 1>would be have having a chat bot that communicates fluently

0:17:54.800 --> 0:17:58.800
<v Speaker 1>in whatever language was picked for the competition and can

0:17:58.840 --> 0:18:04.359
<v Speaker 1>answer questions that any person the age of said chatbot

0:18:04.440 --> 0:18:07.600
<v Speaker 1>would be able to answer and uh and be able

0:18:07.640 --> 0:18:09.760
<v Speaker 1>to to roll with any of those kind of of

0:18:10.000 --> 0:18:16.640
<v Speaker 1>um conversational venues. Right. Basically, we're looking for Lieutenant Data. Yeah, yeah,

0:18:17.080 --> 0:18:20.640
<v Speaker 1>Mr Data, Okay, I want to move us along here,

0:18:20.760 --> 0:18:25.120
<v Speaker 1>please to ask the question. So, given that h this

0:18:25.240 --> 0:18:29.560
<v Speaker 1>test is not actually necessarily a test, and that it

0:18:29.600 --> 0:18:33.040
<v Speaker 1>has it has, depending on your interpretation, been bested in

0:18:33.119 --> 0:18:36.480
<v Speaker 1>kind of limited ways throughout the years, why is it

0:18:36.560 --> 0:18:40.959
<v Speaker 1>still popularly considered the bar for artificial intelligence? Well? I

0:18:41.000 --> 0:18:45.399
<v Speaker 1>think mainly it's because, first of all, it mimics a

0:18:45.480 --> 0:18:48.199
<v Speaker 1>part of intelligence that we all recognize, right, So that

0:18:48.280 --> 0:18:51.200
<v Speaker 1>makes it easy for it's especially easy to sell it

0:18:51.320 --> 0:18:53.439
<v Speaker 1>to a general public who may or may not be

0:18:53.560 --> 0:18:57.520
<v Speaker 1>very savvy as far as what machine intelligence entails. So

0:18:57.840 --> 0:19:00.359
<v Speaker 1>it's an easy story. So that has If you can

0:19:00.440 --> 0:19:02.760
<v Speaker 1>have a conversation with the thing, it's clearly smart. Yeah,

0:19:02.840 --> 0:19:06.400
<v Speaker 1>So that has that going for it. Uh. Secondly, this

0:19:06.480 --> 0:19:10.000
<v Speaker 1>is a non trivial problem. I mean, creating some form

0:19:10.160 --> 0:19:14.119
<v Speaker 1>of computer or machine intelligence that can respond to human

0:19:14.200 --> 0:19:17.679
<v Speaker 1>language in a way that is natural, whether it is

0:19:17.720 --> 0:19:19.800
<v Speaker 1>doing so in a way that makes you think it's

0:19:19.880 --> 0:19:23.280
<v Speaker 1>human or not. That's a non trivial problem. I mean

0:19:23.280 --> 0:19:26.320
<v Speaker 1>you're talking about humans have the ability to put the

0:19:26.400 --> 0:19:32.200
<v Speaker 1>same kind of information into vastly different wording so that

0:19:32.480 --> 0:19:34.840
<v Speaker 1>they're conveying the same meaning, but they could do it

0:19:34.880 --> 0:19:38.000
<v Speaker 1>in multiple ways, and you have to be able to

0:19:38.040 --> 0:19:41.720
<v Speaker 1>design a program and a machine that can roll with that,

0:19:41.720 --> 0:19:45.400
<v Speaker 1>that can understand or at least respond in all these

0:19:45.400 --> 0:19:49.480
<v Speaker 1>different variations with the appropriate information. So whether or not

0:19:49.600 --> 0:19:51.919
<v Speaker 1>you're talking about a chatbot or you're talking about some

0:19:51.960 --> 0:19:55.080
<v Speaker 1>form of interface. Let's say it's a call center where

0:19:55.119 --> 0:19:57.560
<v Speaker 1>you're trying to get help for a problem, there could

0:19:57.600 --> 0:20:00.199
<v Speaker 1>be a hundred different ways for you to phrase what

0:20:00.400 --> 0:20:04.080
<v Speaker 1>has gone wrong with whatever the issue is, and the

0:20:04.119 --> 0:20:06.639
<v Speaker 1>machine intelligence has to be able to interpret all one

0:20:06.720 --> 0:20:09.280
<v Speaker 1>hundred of those ways and come back with the appropriate

0:20:09.320 --> 0:20:12.440
<v Speaker 1>response that is the same for all one hundred different

0:20:12.480 --> 0:20:16.359
<v Speaker 1>ways that you you could phrase it. These are really

0:20:16.400 --> 0:20:19.800
<v Speaker 1>tough challenges. We've seen it uh demonstrated in lots of

0:20:19.800 --> 0:20:22.560
<v Speaker 1>different types of technology, the IBM S Watson being a

0:20:22.560 --> 0:20:25.280
<v Speaker 1>big one that we can point to, where it took

0:20:25.320 --> 0:20:29.440
<v Speaker 1>the lots of different subtle things about the English language

0:20:29.840 --> 0:20:33.120
<v Speaker 1>and was able to interpret them and respond in the

0:20:33.200 --> 0:20:36.800
<v Speaker 1>format of a game show and do it successfully. And

0:20:37.160 --> 0:20:41.080
<v Speaker 1>that was pretty tricky because it involved not just analyzing

0:20:41.080 --> 0:20:43.640
<v Speaker 1>all right, well, this, this word here in this sentence

0:20:43.840 --> 0:20:46.440
<v Speaker 1>is the object, this one is the verb, this one's

0:20:46.480 --> 0:20:49.720
<v Speaker 1>the subject, and not just consulting Google and coming up

0:20:49.720 --> 0:20:54.160
<v Speaker 1>with answers to questions, but understanding puns for example. Yeah,

0:20:54.160 --> 0:20:57.399
<v Speaker 1>it had to be able to uh, to respond to

0:20:57.480 --> 0:21:01.320
<v Speaker 1>word play things that that, so that could interpret what

0:21:01.359 --> 0:21:05.480
<v Speaker 1>was actually being asked of it. That was a significant achievement.

0:21:05.560 --> 0:21:07.880
<v Speaker 1>So it's something that you can point to and say,

0:21:08.160 --> 0:21:10.320
<v Speaker 1>look how hard this problem is. It's something that's very

0:21:10.359 --> 0:21:13.000
<v Speaker 1>easy for us humans. We we learn language, we even

0:21:13.080 --> 0:21:16.320
<v Speaker 1>learn to uh you know how, it's flexible, We even

0:21:16.560 --> 0:21:19.600
<v Speaker 1>change it ourselves. I mean there are words that exist

0:21:19.680 --> 0:21:22.159
<v Speaker 1>now that didn't exist when I was a kid, that,

0:21:22.280 --> 0:21:25.160
<v Speaker 1>you know, things that we entered the just the popular

0:21:25.800 --> 0:21:30.480
<v Speaker 1>parlance and then became actual words. So it's something that

0:21:30.640 --> 0:21:34.440
<v Speaker 1>is difficult to to program into a machine. It's probably

0:21:34.440 --> 0:21:38.160
<v Speaker 1>one of the real reasons why this bar is seen

0:21:38.280 --> 0:21:41.320
<v Speaker 1>as like the defining element of our artificial intelligence, because

0:21:41.320 --> 0:21:45.359
<v Speaker 1>it's not an easy problem. Law zs there you go.

0:21:47.800 --> 0:21:51.160
<v Speaker 1>But so okay, so so there there are good reasons

0:21:51.200 --> 0:21:54.560
<v Speaker 1>for this to be the bar, and there are good

0:21:54.600 --> 0:21:56.680
<v Speaker 1>reasons for it to no longer be the bar. Let's

0:21:56.720 --> 0:21:59.080
<v Speaker 1>let's talk about a few of those, yes, please, Okay, Well,

0:21:59.119 --> 0:22:02.119
<v Speaker 1>I would like to wing out that when we're making

0:22:02.160 --> 0:22:05.080
<v Speaker 1>these sort of what you might read as criticisms of

0:22:05.119 --> 0:22:09.439
<v Speaker 1>the Turing test, we're not criticizing Alan Turing and his

0:22:09.760 --> 0:22:11.680
<v Speaker 1>vision for this. You know, he's one of the best

0:22:11.760 --> 0:22:15.919
<v Speaker 1>human people qualitatively. Yeah, well, he certainly. He certainly was

0:22:16.840 --> 0:22:20.439
<v Speaker 1>like the founding father of computer science. Like the reason

0:22:20.480 --> 0:22:23.159
<v Speaker 1>computer science is the way it is is largely in

0:22:23.280 --> 0:22:26.680
<v Speaker 1>part due to his work. So there's that. No, Yeah,

0:22:26.680 --> 0:22:29.160
<v Speaker 1>I just more I think we should focus on sort

0:22:29.160 --> 0:22:32.840
<v Speaker 1>of the natural limitations of this concept as it is

0:22:33.400 --> 0:22:37.879
<v Speaker 1>most often envisioned, and why it doesn't necessarily apply to

0:22:38.320 --> 0:22:41.240
<v Speaker 1>artificial intelligence in general. One of them is that, in

0:22:41.240 --> 0:22:44.000
<v Speaker 1>the way people use this test, it's not designed to

0:22:44.119 --> 0:22:48.600
<v Speaker 1>talk about artificial intelligence in general, because artificial intelligence spans

0:22:48.600 --> 0:22:52.520
<v Speaker 1>a lot more than natural language processing. I mean, it's

0:22:52.520 --> 0:22:59.040
<v Speaker 1>specifically focused on mimicking human behavior in a text based conversation. Now,

0:22:59.160 --> 0:23:02.120
<v Speaker 1>that would have to be a feature of what people

0:23:02.160 --> 0:23:06.159
<v Speaker 1>would call say, an artificial general intelligence, something that that

0:23:06.200 --> 0:23:09.240
<v Speaker 1>a general intelligence should be capable of doing, but not

0:23:09.359 --> 0:23:12.600
<v Speaker 1>the only thing it should be capable of. But AI

0:23:12.720 --> 0:23:15.119
<v Speaker 1>research focuses on all kinds of other things. You have

0:23:15.200 --> 0:23:20.040
<v Speaker 1>AI algorithms that recognize objects by sight, that's artificial intelligence.

0:23:20.280 --> 0:23:23.840
<v Speaker 1>You can have AI algorithms that control physical movement that

0:23:23.880 --> 0:23:26.840
<v Speaker 1>can be artificial intelligence. You might even say that you

0:23:26.880 --> 0:23:29.680
<v Speaker 1>know the room BA that's going around on your floors.

0:23:29.720 --> 0:23:32.719
<v Speaker 1>There there is a type of artificial intelligence that governs

0:23:32.760 --> 0:23:35.040
<v Speaker 1>its movements. Well, let let's put it to you this way, Joe.

0:23:35.200 --> 0:23:37.640
<v Speaker 1>Let's say that I I tell you, all right, I've

0:23:37.680 --> 0:23:40.720
<v Speaker 1>got two people here that I want you to judge

0:23:40.720 --> 0:23:44.240
<v Speaker 1>whether or not they're intelligence. One of them is able

0:23:44.280 --> 0:23:48.080
<v Speaker 1>to tell you what happened in the very first episode

0:23:49.080 --> 0:23:52.680
<v Speaker 1>of All in the Family, able to explain what happened

0:23:52.720 --> 0:23:56.919
<v Speaker 1>in that episode. The other is able to navigate to

0:23:57.320 --> 0:24:01.040
<v Speaker 1>a place it has never been before and be able

0:24:01.080 --> 0:24:05.320
<v Speaker 1>to to get there by consulting various maps, Able to

0:24:05.359 --> 0:24:09.520
<v Speaker 1>move through traffic, able to get to the destination and

0:24:09.640 --> 0:24:13.119
<v Speaker 1>back safely, and do so in a reasonable amount of time.

0:24:13.440 --> 0:24:15.560
<v Speaker 1>You would probably say, all right, well, both of those

0:24:15.560 --> 0:24:18.280
<v Speaker 1>seem intelligent to me. Sure you know one it's more

0:24:18.280 --> 0:24:20.320
<v Speaker 1>fun at parties, but one it's more likely to get

0:24:20.359 --> 0:24:22.560
<v Speaker 1>to the party. One of those were likely to drop

0:24:22.560 --> 0:24:24.399
<v Speaker 1>you off a minute. Which one is fun at the

0:24:24.440 --> 0:24:26.840
<v Speaker 1>party depends on how much you like all in the family.

0:24:27.040 --> 0:24:29.200
<v Speaker 1>I go to parties just to have people explain the

0:24:29.240 --> 0:24:30.919
<v Speaker 1>plot I was going to go. I was gonna go

0:24:30.960 --> 0:24:33.000
<v Speaker 1>with the Jersey Shore, but I figured that would have

0:24:33.000 --> 0:24:36.159
<v Speaker 1>been a low blow. So the no, no, I know.

0:24:36.200 --> 0:24:39.600
<v Speaker 1>It's somebody who explains to you the plot of transformers

0:24:39.600 --> 0:24:43.359
<v Speaker 1>for which means they're not human. Joe, you explained to

0:24:43.400 --> 0:24:45.720
<v Speaker 1>me the plot of transformers for the other day. I

0:24:45.760 --> 0:24:48.280
<v Speaker 1>don't think I did. I think I just said product

0:24:48.320 --> 0:24:51.080
<v Speaker 1>placement over and I think, actually, I think your explaination

0:24:51.840 --> 0:24:55.560
<v Speaker 1>there was no plot. I think it's what your point was. Yeah. So,

0:24:55.560 --> 0:25:00.359
<v Speaker 1>so a driver a driverless car Google car, for example,

0:25:00.720 --> 0:25:05.440
<v Speaker 1>you would say, possesses many aspects of intelligence. It would

0:25:05.480 --> 0:25:08.679
<v Speaker 1>be able to in its in its final implementation, the

0:25:08.720 --> 0:25:12.680
<v Speaker 1>way it's been described, you would get into said car, essentially,

0:25:12.720 --> 0:25:15.080
<v Speaker 1>turn it on and tell it where you wanted to go,

0:25:15.280 --> 0:25:17.879
<v Speaker 1>and it would take you there. It would navigate potentially

0:25:17.880 --> 0:25:20.720
<v Speaker 1>through very complex street layouts. I mean, you could be

0:25:20.840 --> 0:25:23.399
<v Speaker 1>especially if you're going from one city into another city,

0:25:23.560 --> 0:25:26.399
<v Speaker 1>respond to traffic and obstacles in real time. Exactly, it

0:25:26.440 --> 0:25:30.119
<v Speaker 1>would be able to uh to anticipate if some sort

0:25:30.240 --> 0:25:33.080
<v Speaker 1>of obstacle came into its pathway and be able to

0:25:33.119 --> 0:25:36.080
<v Speaker 1>react to it. So that all of these things, being

0:25:36.119 --> 0:25:39.320
<v Speaker 1>able to recognize obstacles, being able to react to them,

0:25:39.320 --> 0:25:43.199
<v Speaker 1>being able to emerge into existing traffic, being able to

0:25:43.200 --> 0:25:45.320
<v Speaker 1>go from one location to another, even if that car

0:25:45.400 --> 0:25:48.920
<v Speaker 1>has never been there before. All these things are aspects

0:25:48.920 --> 0:25:51.399
<v Speaker 1>of intelligence that would never come into play if you

0:25:51.640 --> 0:25:55.359
<v Speaker 1>only concentrate on the touring test, as this is the

0:25:55.480 --> 0:25:57.840
<v Speaker 1>example of whether or not a machine is intelligent. Yeah,

0:25:57.880 --> 0:26:01.639
<v Speaker 1>totally true. Okay. I want to offer another limitation, which

0:26:01.720 --> 0:26:05.240
<v Speaker 1>is that using this popular vision of the touring test

0:26:05.359 --> 0:26:09.400
<v Speaker 1>might be encouraging the wrong kind of development of chat

0:26:09.480 --> 0:26:13.639
<v Speaker 1>bots for natural language processing. I mean, obviously, anything that

0:26:13.760 --> 0:26:16.560
<v Speaker 1>knows how to use words and sentences really well, that

0:26:16.720 --> 0:26:18.399
<v Speaker 1>is a good step in the right direction, how to

0:26:18.440 --> 0:26:21.720
<v Speaker 1>comprehend them, how to put them together. But chat thoughts

0:26:21.800 --> 0:26:25.040
<v Speaker 1>that are designed to fool humans into thinking they're humans,

0:26:26.119 --> 0:26:28.879
<v Speaker 1>it's all based on deception. Yeah, I've seen it suggested

0:26:28.920 --> 0:26:32.360
<v Speaker 1>that we're not raising the bar for computer speech we're

0:26:32.400 --> 0:26:35.760
<v Speaker 1>lowering the bar for human intelligence. That's also that's also

0:26:35.800 --> 0:26:39.080
<v Speaker 1>a case. Actually, I read some great articles that talked

0:26:39.119 --> 0:26:45.159
<v Speaker 1>about actual touring test procedures where humans were considered to

0:26:45.240 --> 0:26:47.560
<v Speaker 1>probably be the machine and the machines were considered to

0:26:47.600 --> 0:26:51.119
<v Speaker 1>be humans, partly because one of the things about this

0:26:51.160 --> 0:26:53.440
<v Speaker 1>touring test is it doesn't say that the machine has

0:26:53.480 --> 0:26:55.800
<v Speaker 1>to be honest at all. In fact, it can't be.

0:26:55.920 --> 0:26:58.159
<v Speaker 1>It's got to deceive you into thinking it's humans. So

0:26:58.280 --> 0:27:00.080
<v Speaker 1>by it's very nature, it has to be able to

0:27:00.119 --> 0:27:03.439
<v Speaker 1>answer questions that it honestly would have to say, I

0:27:03.480 --> 0:27:05.360
<v Speaker 1>have no answer for that. If it were just being

0:27:05.359 --> 0:27:07.479
<v Speaker 1>a machine. For example, if you said what do your

0:27:07.480 --> 0:27:10.840
<v Speaker 1>parents do? It would have to either invent something or

0:27:10.880 --> 0:27:13.119
<v Speaker 1>say my parents died when I was I mean, it

0:27:13.400 --> 0:27:15.520
<v Speaker 1>wouldn't be able to say I don't have parents because

0:27:15.560 --> 0:27:18.000
<v Speaker 1>of my computer. That would that would end up eliminating

0:27:18.000 --> 0:27:21.560
<v Speaker 1>it from the touring test unless you also assume that

0:27:21.600 --> 0:27:26.560
<v Speaker 1>the human right and it's coming up with responses like

0:27:26.640 --> 0:27:29.200
<v Speaker 1>Joe did at the top of the podcast saying like like, well,

0:27:29.320 --> 0:27:32.160
<v Speaker 1>how would I know that I'm where? In that case,

0:27:32.200 --> 0:27:34.840
<v Speaker 1>you might have the interrogators say, well, I assume that

0:27:34.880 --> 0:27:37.760
<v Speaker 1>the humans are also being dishonest that they are also

0:27:37.880 --> 0:27:41.040
<v Speaker 1>trying to trick me. So if something is coming across

0:27:41.119 --> 0:27:43.680
<v Speaker 1>is obviously mechanic, well then that has to be a machine,

0:27:44.119 --> 0:27:45.520
<v Speaker 1>or it has to be a human pertending to be

0:27:45.520 --> 0:27:47.960
<v Speaker 1>a machine. Rather, it can't be a machine that's just

0:27:48.000 --> 0:27:50.760
<v Speaker 1>a poorly designed chatbot. It could totally be a machine

0:27:50.800 --> 0:27:54.080
<v Speaker 1>that's a poorly designed chatbot. So if you, if Joe,

0:27:54.080 --> 0:27:55.399
<v Speaker 1>if you kept on saying like, I don't want to

0:27:55.400 --> 0:27:58.760
<v Speaker 1>talk about that, or you know, let's change the subject,

0:27:59.040 --> 0:28:01.040
<v Speaker 1>I might sit there and say, well, this is coming

0:28:01.080 --> 0:28:03.520
<v Speaker 1>across as a chatbot, but I bet it's actually a

0:28:03.560 --> 0:28:06.720
<v Speaker 1>person pretending to be a chatbot. And meanwhile, there were

0:28:06.760 --> 0:28:09.120
<v Speaker 1>other examples they were The one I read was specifically,

0:28:09.320 --> 0:28:12.720
<v Speaker 1>and this really appealed to me, was specifically an interview

0:28:12.760 --> 0:28:17.560
<v Speaker 1>with a Shakespearean scholar where the interviewer was asking questions

0:28:17.560 --> 0:28:20.760
<v Speaker 1>and the Shakespearean scholar, being a human and being smart

0:28:21.000 --> 0:28:24.520
<v Speaker 1>and being a little snarky, was responding in kind of

0:28:24.520 --> 0:28:26.520
<v Speaker 1>a snarky way to some of the questions, and they

0:28:26.560 --> 0:28:29.040
<v Speaker 1>just assumed that because it was a snarky comment, that

0:28:29.119 --> 0:28:32.640
<v Speaker 1>this was some clever programming, even though the person being

0:28:32.640 --> 0:28:36.640
<v Speaker 1>interviewed was demonstrating an understanding of the subject matter, not

0:28:36.760 --> 0:28:41.960
<v Speaker 1>just regurgitating things or or pulling together simple were sentences.

0:28:42.000 --> 0:28:44.200
<v Speaker 1>They were actually being pretty complex. So for example, they

0:28:44.280 --> 0:28:47.440
<v Speaker 1>might say, um, like, what's your favorite Shakespearean play? And

0:28:47.440 --> 0:28:50.160
<v Speaker 1>the respondent said something along the lines of, you know,

0:28:50.240 --> 0:28:53.280
<v Speaker 1>that's a really general question. I don't even really know

0:28:53.320 --> 0:28:55.120
<v Speaker 1>how to answer that. If we if we want to

0:28:55.160 --> 0:28:58.720
<v Speaker 1>go with just the comedies, then I guess it happens

0:28:58.760 --> 0:29:00.920
<v Speaker 1>to be Twelfth Night or some thing along those lines.

0:29:01.480 --> 0:29:04.400
<v Speaker 1>And so it was. It was actually a very thoughtful response,

0:29:04.440 --> 0:29:06.160
<v Speaker 1>and it was and the person was also trying to

0:29:06.240 --> 0:29:10.520
<v Speaker 1>engage the interrogator into a conversation, and the interrogator would

0:29:10.600 --> 0:29:13.560
<v Speaker 1>end up resisting, and they ended up saying, well, this

0:29:13.560 --> 0:29:18.200
<v Speaker 1>this Shakespeare scholar, one's clearly a robot. And this other

0:29:18.200 --> 0:29:20.640
<v Speaker 1>one that kept on saying, like, trying to deflect the question,

0:29:20.680 --> 0:29:22.880
<v Speaker 1>that's clearly a human pretending to be a robot. And

0:29:22.920 --> 0:29:26.160
<v Speaker 1>they were They were wrong in both cases. They were wrong.

0:29:26.480 --> 0:29:28.400
<v Speaker 1>I would I would really like to never be personally

0:29:28.520 --> 0:29:30.480
<v Speaker 1>challenged on whether I'm a human or not. I feel

0:29:30.480 --> 0:29:33.640
<v Speaker 1>like I would fail that game. Yeah, well, at any rate,

0:29:33.760 --> 0:29:37.560
<v Speaker 1>so I'm a real person. So yes, it is lowering

0:29:37.600 --> 0:29:40.840
<v Speaker 1>the bar for what we humans consider to be a

0:29:40.880 --> 0:29:44.160
<v Speaker 1>passing grade. But it also is all based on deception.

0:29:44.240 --> 0:29:46.680
<v Speaker 1>Like you said, Joe, it's not it's not based on

0:29:46.720 --> 0:29:50.520
<v Speaker 1>any kind of let's improve the computer's ability to do

0:29:50.600 --> 0:29:54.360
<v Speaker 1>any particular task other than to fool people into thinking

0:29:54.360 --> 0:29:57.320
<v Speaker 1>it's human. That's not terribly useful. In fact, that could

0:29:57.320 --> 0:30:00.520
<v Speaker 1>be really bad for us to really go down that

0:30:00.600 --> 0:30:03.040
<v Speaker 1>road and just get really good at making computers think

0:30:03.040 --> 0:30:07.440
<v Speaker 1>trick humans. Yeah, let's not do that. Yeah, that's the

0:30:07.600 --> 0:30:12.560
<v Speaker 1>first thing we're teaching. It's like before they're even able

0:30:12.600 --> 0:30:14.800
<v Speaker 1>to do all this other great stuff. For the main

0:30:14.960 --> 0:30:17.280
<v Speaker 1>thing we're focused on is how to lie to us.

0:30:17.360 --> 0:30:20.480
<v Speaker 1>At least we didn't teach them like how to hate us.

0:30:20.200 --> 0:30:25.400
<v Speaker 1>That's their their line comes from an honest place. But

0:30:25.520 --> 0:30:29.280
<v Speaker 1>then we have next. Another criticism is that leads to

0:30:29.480 --> 0:30:32.560
<v Speaker 1>the idea that the machine is not doing any sort

0:30:32.640 --> 0:30:35.600
<v Speaker 1>of thinking at all. It's doing, like we said, smoke

0:30:35.680 --> 0:30:39.280
<v Speaker 1>and mirrors kind of approach to deflecting us verbal trickery

0:30:39.320 --> 0:30:41.920
<v Speaker 1>to make us think that it's that it's thinking, but

0:30:42.040 --> 0:30:45.760
<v Speaker 1>it's not actually thinking. And that is illustrated and in

0:30:45.920 --> 0:30:49.760
<v Speaker 1>one aspect in the Chinese Room thought experiment. Yeah, so

0:30:49.760 --> 0:30:52.200
<v Speaker 1>this is kind of a higher level criticism, is kind

0:30:52.200 --> 0:30:54.640
<v Speaker 1>of back up and say, wait a minute, I sort

0:30:54.640 --> 0:30:58.640
<v Speaker 1>of this criticism says, I disagree with Turing's initial premise

0:30:58.760 --> 0:31:02.000
<v Speaker 1>about how you rep resent intelligence. Right. The idea here

0:31:02.080 --> 0:31:04.280
<v Speaker 1>is is that even if you were to create a

0:31:04.360 --> 0:31:08.240
<v Speaker 1>chatbot that one dent of the time could fool people

0:31:08.240 --> 0:31:10.680
<v Speaker 1>into thinking that it was in fact human, you could

0:31:10.720 --> 0:31:14.280
<v Speaker 1>not specifically state that the machine itself was intelligent. That

0:31:14.360 --> 0:31:18.160
<v Speaker 1>the the whole touring test is based upon a premise

0:31:18.240 --> 0:31:21.480
<v Speaker 1>that is faulty. Yeah, we've done a podcast about the

0:31:21.560 --> 0:31:24.400
<v Speaker 1>Chinese Room experiment before, So if you want to go back,

0:31:24.440 --> 0:31:27.200
<v Speaker 1>I believe it's called does your Computer No Chinese? Yeah,

0:31:27.520 --> 0:31:29.040
<v Speaker 1>if you want to go back and listen to that,

0:31:29.680 --> 0:31:31.680
<v Speaker 1>please check it out. It's cool one. But but it

0:31:31.760 --> 0:31:35.320
<v Speaker 1>boils down to the idea that there are some philosophers

0:31:35.320 --> 0:31:39.880
<v Speaker 1>and thinkers who say that UM, no programmatic system can

0:31:39.920 --> 0:31:43.200
<v Speaker 1>never understand the meaning of words and symbols. No, it

0:31:43.320 --> 0:31:47.400
<v Speaker 1>simply is following directions, predetermined directions, and that it cannot

0:31:47.440 --> 0:31:52.160
<v Speaker 1>go beyond those predetermined directions. So it is it is

0:31:52.440 --> 0:31:56.320
<v Speaker 1>by its own design limited in what it can do. So,

0:31:56.400 --> 0:31:59.840
<v Speaker 1>in other words, the basic ideas. Imagine you've got a

0:32:00.080 --> 0:32:02.800
<v Speaker 1>room that doesn't have any windows to it. It's got

0:32:02.840 --> 0:32:06.000
<v Speaker 1>one doorway and under and you you are in the room,

0:32:06.120 --> 0:32:07.720
<v Speaker 1>and the only other thing that's in the room is

0:32:08.240 --> 0:32:11.800
<v Speaker 1>besides like basic furniture, is a big book of instructions.

0:32:12.040 --> 0:32:15.000
<v Speaker 1>And occasionally a piece of paper gets shoved under the

0:32:15.000 --> 0:32:20.640
<v Speaker 1>door that has a symbol written in a Chinese Chinese character,

0:32:20.680 --> 0:32:23.200
<v Speaker 1>and you do not understand Chinese. That's important for this

0:32:23.280 --> 0:32:26.080
<v Speaker 1>thought experiment. You don't understand Chinese. So you get this

0:32:26.600 --> 0:32:29.320
<v Speaker 1>what is to you a meaningless symbol because you have

0:32:29.360 --> 0:32:31.440
<v Speaker 1>no idea what it means, what it says, what means

0:32:31.760 --> 0:32:34.200
<v Speaker 1>You open up the big book of directions and you

0:32:34.240 --> 0:32:36.680
<v Speaker 1>find the symbol in the book of directions. The book

0:32:36.680 --> 0:32:39.400
<v Speaker 1>of directions tells you what's symbol to draw. In response

0:32:39.440 --> 0:32:42.680
<v Speaker 1>to that, you do, so you slide that under the door,

0:32:43.360 --> 0:32:44.960
<v Speaker 1>and you just keep doing that over and over and

0:32:45.000 --> 0:32:48.920
<v Speaker 1>over again. To anyone from outside that room, it appears

0:32:48.960 --> 0:32:52.480
<v Speaker 1>that the room understands Chinese because they put a symbol underneath,

0:32:52.480 --> 0:32:57.480
<v Speaker 1>and they get the proper response shoved back eventually, But you,

0:32:58.000 --> 0:33:01.720
<v Speaker 1>as the person inside the room, do not understand Chinese.

0:33:01.840 --> 0:33:06.160
<v Speaker 1>You are simply following a series of directions that are

0:33:06.200 --> 0:33:10.240
<v Speaker 1>just predetermined, and you have no understanding of that. Now.

0:33:10.280 --> 0:33:13.400
<v Speaker 1>Of course, there are a lot of also philosophical responses

0:33:13.440 --> 0:33:16.600
<v Speaker 1>to this criticism. One of the main ones, and I'd

0:33:16.600 --> 0:33:19.280
<v Speaker 1>say probably the most popular one and the one that

0:33:19.400 --> 0:33:22.719
<v Speaker 1>makes the most sense to me, is the idea that, Okay, well,

0:33:22.760 --> 0:33:26.440
<v Speaker 1>while the person in this analogy, basically it's a criticism

0:33:26.440 --> 0:33:28.920
<v Speaker 1>of the scope of the analogy. It says that, Okay,

0:33:28.960 --> 0:33:32.040
<v Speaker 1>in this analogy or in this thought experiment, the person

0:33:32.080 --> 0:33:35.000
<v Speaker 1>in the room might not understand Chinese, but that it

0:33:35.040 --> 0:33:38.480
<v Speaker 1>would make sense to talk about the system as a whole.

0:33:38.560 --> 0:33:41.720
<v Speaker 1>So the room, the person, and the book put together

0:33:41.840 --> 0:33:45.400
<v Speaker 1>as a thing understanding Chinese, you could say that the

0:33:45.480 --> 0:33:49.360
<v Speaker 1>room system does understand what Chinese is, just as you

0:33:49.400 --> 0:33:52.760
<v Speaker 1>could say that a particular region in your brain doesn't

0:33:52.800 --> 0:33:57.240
<v Speaker 1>necessarily understand English, but you understand English. Yeah. So it's

0:33:57.240 --> 0:33:59.760
<v Speaker 1>not that everything single part of your brain is dedicated

0:33:59.800 --> 0:34:03.920
<v Speaker 1>to language processing. It's not. So you couldn't say that

0:34:04.000 --> 0:34:06.360
<v Speaker 1>this one particular part of your brain understands English. That

0:34:06.360 --> 0:34:10.400
<v Speaker 1>would just be untrue. But it also would would be

0:34:10.480 --> 0:34:13.400
<v Speaker 1>untrue to say, well, the person therefore does not understand English.

0:34:13.719 --> 0:34:15.799
<v Speaker 1>But you've got to look at the full system, right,

0:34:15.880 --> 0:34:21.720
<v Speaker 1>So that is another counter argument to that particular objection. Okay,

0:34:21.719 --> 0:34:25.040
<v Speaker 1>So the question might be, do we need an alternative

0:34:25.080 --> 0:34:27.799
<v Speaker 1>to the touring toes something in the popular consciousness that

0:34:27.840 --> 0:34:32.240
<v Speaker 1>represents the new bar that all artificial intelligence has to pass.

0:34:32.520 --> 0:34:35.760
<v Speaker 1>I I would say, yes, what might that look like? Well,

0:34:36.160 --> 0:34:39.040
<v Speaker 1>how about instead of trying to get it to ape

0:34:39.120 --> 0:34:43.319
<v Speaker 1>a human through text, we actually see if we can

0:34:43.360 --> 0:34:47.600
<v Speaker 1>create a program that can comprehend stuff, that can consume

0:34:47.840 --> 0:34:51.279
<v Speaker 1>some form of media, whatever that might be, and then

0:34:51.320 --> 0:34:54.840
<v Speaker 1>be able to actually answer meaningful questions about that media.

0:34:55.040 --> 0:34:58.480
<v Speaker 1>So it could be that you have this program and

0:34:58.560 --> 0:35:01.360
<v Speaker 1>you allow it, you know, you feed it the information

0:35:01.440 --> 0:35:04.600
<v Speaker 1>about a book, and then you might ask what were

0:35:04.719 --> 0:35:08.080
<v Speaker 1>the main character's motivations? Why did the main character do

0:35:08.280 --> 0:35:10.960
<v Speaker 1>the actions he or she did in the context of

0:35:11.000 --> 0:35:14.160
<v Speaker 1>that novel? Or you might have it watch a television

0:35:14.160 --> 0:35:17.759
<v Speaker 1>program and then answer questions, So what happened first, what

0:35:17.920 --> 0:35:21.160
<v Speaker 1>happened next, why did that happen? You know, that kind

0:35:21.160 --> 0:35:24.560
<v Speaker 1>of thing, and that if a machine were able to

0:35:24.719 --> 0:35:28.320
<v Speaker 1>comprehend something and answer these questions in a meaningful way.

0:35:28.960 --> 0:35:32.520
<v Speaker 1>That would go much further toward establishing this machine as

0:35:32.560 --> 0:35:35.200
<v Speaker 1>being intelligent in this in a similar way that we

0:35:35.280 --> 0:35:39.520
<v Speaker 1>humans are intelligent. Yeah, that's interesting. I like that idea,

0:35:40.360 --> 0:35:43.560
<v Speaker 1>especially talking about visual media, like giving it a movie

0:35:43.600 --> 0:35:46.440
<v Speaker 1>to watch and then say, asking questions about them. So

0:35:46.560 --> 0:35:49.160
<v Speaker 1>that would encompass quite a few things all at once.

0:35:49.280 --> 0:35:53.960
<v Speaker 1>That would encompass, uh, visual data processing, recognizing the faces,

0:35:55.200 --> 0:35:58.239
<v Speaker 1>being able to look at a strip of film and

0:35:58.280 --> 0:36:01.800
<v Speaker 1>interpret all that is data out a narrative, understanding what's

0:36:01.800 --> 0:36:04.719
<v Speaker 1>going on in the relationship of different characters and objects.

0:36:05.800 --> 0:36:09.160
<v Speaker 1>Of course, it would include natural language processing. It would

0:36:09.200 --> 0:36:13.160
<v Speaker 1>include understanding of cultural tropes and things like that, so

0:36:13.200 --> 0:36:17.520
<v Speaker 1>sort of incorporating cultural knowledge into this engine, which is

0:36:17.560 --> 0:36:19.319
<v Speaker 1>something that a lot of these chat abouts so far

0:36:19.360 --> 0:36:21.279
<v Speaker 1>haven't been able to do. That's why they have to

0:36:21.840 --> 0:36:24.719
<v Speaker 1>deflect and say, I know, I've never seen cheers. I

0:36:24.760 --> 0:36:27.160
<v Speaker 1>don't know what it's about. So that would do a

0:36:27.200 --> 0:36:30.120
<v Speaker 1>whole lot all in in one fell swoop. At the

0:36:30.120 --> 0:36:33.400
<v Speaker 1>same time, I wonder if I wonder if that's setting

0:36:33.440 --> 0:36:36.600
<v Speaker 1>the bar too high. See, I don't know if it's

0:36:36.640 --> 0:36:39.480
<v Speaker 1>saying the bar too high. If you're talking about establishing

0:36:39.560 --> 0:36:43.200
<v Speaker 1>strong AI. If you want truly strong AI, then you

0:36:43.280 --> 0:36:46.760
<v Speaker 1>have to have that high bar set, right sure. Cognitive

0:36:46.760 --> 0:36:49.279
<v Speaker 1>scientist Gary Marcus wrote a really great blog post for

0:36:49.280 --> 0:36:51.920
<v Speaker 1>The New Yorker about this entire concept. He he pointed

0:36:52.000 --> 0:36:55.359
<v Speaker 1>out that a true test of intelligence is learning new

0:36:55.400 --> 0:36:59.000
<v Speaker 1>things at will, which this demonstrates. And also that sounds

0:36:59.040 --> 0:37:01.799
<v Speaker 1>really simple, but that's just our human bias. Everything that

0:37:01.840 --> 0:37:05.319
<v Speaker 1>we do is basically learning new things at will. But

0:37:05.400 --> 0:37:07.160
<v Speaker 1>it's really hard for computers to do. Is we have

0:37:07.200 --> 0:37:11.360
<v Speaker 1>talked many times about on the show before. He closed

0:37:11.400 --> 0:37:15.080
<v Speaker 1>his blog post with with this excellent tidbit and I quote,

0:37:15.280 --> 0:37:18.400
<v Speaker 1>no existing program, not Watson, not Gooseman, nut Siri can

0:37:18.440 --> 0:37:21.520
<v Speaker 1>currently come close to doing what any bright, real teenager

0:37:21.600 --> 0:37:23.879
<v Speaker 1>can do. Watch an episode of The Simpsons and tell

0:37:23.960 --> 0:37:27.120
<v Speaker 1>us when to laugh. Yeah, I mean, that's a great point.

0:37:27.840 --> 0:37:31.360
<v Speaker 1>I said that I won't. I won't assume a computer

0:37:31.440 --> 0:37:34.600
<v Speaker 1>is intelligent until it is able to watch the Transformers

0:37:34.600 --> 0:37:36.480
<v Speaker 1>movies and then ask you why you made it do

0:37:36.560 --> 0:37:39.919
<v Speaker 1>that thing and then and it be hurt if it's

0:37:40.000 --> 0:37:43.839
<v Speaker 1>if it's hurt, and it it considers you trade, Yeah,

0:37:43.840 --> 0:37:46.120
<v Speaker 1>it feels that you are a cruel overmaster. Then you

0:37:46.160 --> 0:37:48.879
<v Speaker 1>know you have created an intelligent machine, and you should

0:37:48.920 --> 0:37:53.239
<v Speaker 1>listen to it and also probably apologize. Again. I think

0:37:53.239 --> 0:37:55.719
<v Speaker 1>that's a really great way of framing the issue, and

0:37:56.080 --> 0:37:59.719
<v Speaker 1>that's very interesting and very ambitious. I still wonder the

0:37:59.800 --> 0:38:02.560
<v Speaker 1>same thing I was just thinking about, like, is that

0:38:02.640 --> 0:38:04.479
<v Speaker 1>too high to set the bar? I don't know how

0:38:04.600 --> 0:38:07.120
<v Speaker 1>high you should set the bar. I mean, on one hand,

0:38:07.160 --> 0:38:09.440
<v Speaker 1>it's great to shoot for the moon, you know, to

0:38:09.440 --> 0:38:13.120
<v Speaker 1>to encourage really really amazing leaps of innovation. But if

0:38:13.160 --> 0:38:16.719
<v Speaker 1>you set the bar too high, it might be discouraging

0:38:17.120 --> 0:38:19.680
<v Speaker 1>because there's almost nothing to aim for it. It's not

0:38:19.719 --> 0:38:21.640
<v Speaker 1>even in sight. The other way to look at it

0:38:21.680 --> 0:38:23.839
<v Speaker 1>is to say, if you don't set the bar too high,

0:38:23.840 --> 0:38:26.440
<v Speaker 1>what are you saying about human intelligence? Because for the

0:38:26.520 --> 0:38:29.160
<v Speaker 1>most part, what we're talking about here as machines still

0:38:29.600 --> 0:38:32.600
<v Speaker 1>operating under an intelligence that is similar to human intelligence.

0:38:32.640 --> 0:38:35.279
<v Speaker 1>That's another criticism, criticism that is not going to go

0:38:35.320 --> 0:38:38.880
<v Speaker 1>away anytime soon, the idea that we're holding machines to

0:38:39.080 --> 0:38:43.040
<v Speaker 1>a standard that applies to humans. We're not creating a

0:38:43.040 --> 0:38:48.399
<v Speaker 1>standard that particularly applies to machines. And therefore, any any

0:38:48.440 --> 0:38:50.919
<v Speaker 1>test we come up with, whether it is really hard

0:38:51.080 --> 0:38:56.880
<v Speaker 1>or really easy, is ultimately, uh a a a fool's endeavor,

0:38:57.040 --> 0:38:59.719
<v Speaker 1>like this is not the right pathway to to to

0:38:59.800 --> 0:39:02.799
<v Speaker 1>go down. But still there are other alternatives we can

0:39:02.800 --> 0:39:06.239
<v Speaker 1>talk about, and slightly more specific ones like that one

0:39:06.280 --> 0:39:10.239
<v Speaker 1>reminds me of kind of the essay comprehension version or

0:39:10.239 --> 0:39:12.800
<v Speaker 1>a bit of the s A T. Yeah and the

0:39:12.920 --> 0:39:15.640
<v Speaker 1>verbal side yeah, well, not even the verbal but like

0:39:15.680 --> 0:39:20.160
<v Speaker 1>the reading sure, sure, yeah, so they they Another similar

0:39:20.160 --> 0:39:23.560
<v Speaker 1>one to that is the Wino Grad Schema Challenge. There's

0:39:23.560 --> 0:39:26.840
<v Speaker 1>actually a great paper that's all written about this particular

0:39:26.920 --> 0:39:31.200
<v Speaker 1>proposed challenge that again, it's it takes aim to replace

0:39:31.280 --> 0:39:35.360
<v Speaker 1>the Touring test as the standard for testing this particular

0:39:35.400 --> 0:39:39.000
<v Speaker 1>type of AI. It's still looking specifically at how a

0:39:39.239 --> 0:39:44.120
<v Speaker 1>computer is able to to interpret and respond to text,

0:39:44.600 --> 0:39:47.360
<v Speaker 1>but it is not looking at a way for a

0:39:47.400 --> 0:39:50.759
<v Speaker 1>computer to uh pose as a human being, which they

0:39:50.800 --> 0:39:53.440
<v Speaker 1>said was a fundamental flaw in the design of the

0:39:53.440 --> 0:39:55.600
<v Speaker 1>Turing test. Well, I can respect that, So we can

0:39:55.600 --> 0:39:59.239
<v Speaker 1>say it's narrowly focused on natural language processing maybe, but

0:39:59.320 --> 0:40:02.480
<v Speaker 1>it doesn't go for those tricks, the little little games

0:40:02.600 --> 0:40:06.480
<v Speaker 1>that these programs play, right, So it's built on the

0:40:06.560 --> 0:40:11.440
<v Speaker 1>concept of recognizing textual entailment, which it was an earlier

0:40:11.719 --> 0:40:15.600
<v Speaker 1>proposed alternative to the Turing test. Now, that specifically is

0:40:15.640 --> 0:40:19.200
<v Speaker 1>where you have a pair of sentences and you detect

0:40:19.239 --> 0:40:23.319
<v Speaker 1>whether or not they are logically paired together properly, and

0:40:23.360 --> 0:40:26.000
<v Speaker 1>you answer with a yes or no. Yes those logically

0:40:26.280 --> 0:40:29.680
<v Speaker 1>are paired together, or no they are not. So here's

0:40:29.680 --> 0:40:33.640
<v Speaker 1>an example. William Shakespeare's best known plays Romeo and Juliet.

0:40:33.920 --> 0:40:37.160
<v Speaker 1>I know it could be Hamlet. That's fine, Williams Shakespeare's

0:40:37.160 --> 0:40:39.399
<v Speaker 1>best known plays Romeo and Juliet. And then the second

0:40:39.400 --> 0:40:42.759
<v Speaker 1>sentence would be Shakespeare wrote Romeo and Juliet. So you

0:40:42.800 --> 0:40:46.840
<v Speaker 1>ask any human being this thing, and they would say yes,

0:40:47.080 --> 0:40:50.640
<v Speaker 1>those two fall together. Actually depends on how logical the

0:40:50.719 --> 0:40:53.319
<v Speaker 1>human being is, because if you ask Spock and tell

0:40:53.400 --> 0:40:55.640
<v Speaker 1>him he supposed to be operating out of a vacuum

0:40:55.640 --> 0:40:57.840
<v Speaker 1>and not having any cultural knowledge, he would say no.

0:40:58.360 --> 0:41:05.239
<v Speaker 1>Because Shakespeare might have been an actor. Interesting, that would

0:41:05.239 --> 0:41:07.920
<v Speaker 1>be my answer, completely outside of it. But still I've

0:41:07.960 --> 0:41:11.000
<v Speaker 1>seen it positive that Falcans would certainly fail the Turing test.

0:41:11.120 --> 0:41:14.279
<v Speaker 1>So right, you can be too logical, you can be

0:41:14.320 --> 0:41:18.760
<v Speaker 1>so logical that you're not play. Right. Shakespeare's best known

0:41:18.840 --> 0:41:22.720
<v Speaker 1>work is Romeo and Juliet, and then Shakespeare wrote Romeo

0:41:22.760 --> 0:41:25.120
<v Speaker 1>and Juliet. Then would in that case I would say yes,

0:41:25.160 --> 0:41:28.200
<v Speaker 1>they definitely, But as you phrased it, I could say

0:41:28.360 --> 0:41:31.120
<v Speaker 1>no because Shakespeare might not have been the writer. But

0:41:31.200 --> 0:41:34.960
<v Speaker 1>that's fair. But you know that's ultimately the whole point

0:41:35.080 --> 0:41:37.600
<v Speaker 1>is just trying to get two sentences that either are

0:41:37.600 --> 0:41:40.520
<v Speaker 1>logically compatible or not. Okay, give me two that are

0:41:40.560 --> 0:41:46.919
<v Speaker 1>definitely not. Um All right, let's see. How about Uh,

0:41:47.320 --> 0:41:50.319
<v Speaker 1>some pets are dogs. I own a pet, so I

0:41:50.360 --> 0:41:55.359
<v Speaker 1>have a dog. The no, definitely not, because those two

0:41:55.400 --> 0:41:57.840
<v Speaker 1>things don't necessarily belong to each other. That would just

0:41:57.880 --> 0:42:00.759
<v Speaker 1>be a very simple, basic example. But the one a

0:42:00.760 --> 0:42:03.160
<v Speaker 1>grad scheme of challenges a little more of a variation

0:42:03.200 --> 0:42:05.759
<v Speaker 1>on this. It's Uh, You're given a single sentence that's

0:42:05.760 --> 0:42:08.480
<v Speaker 1>followed by a question and two choices for answers. So

0:42:08.520 --> 0:42:12.359
<v Speaker 1>here's an example. The trophy would not fit in the

0:42:12.400 --> 0:42:16.320
<v Speaker 1>brown suitcase because it was too small. What was too

0:42:16.360 --> 0:42:21.520
<v Speaker 1>small the trophy or the suitcase? The trophy would not

0:42:21.520 --> 0:42:24.320
<v Speaker 1>fit into the brown suitcase because it was too small.

0:42:24.680 --> 0:42:27.480
<v Speaker 1>What was too small? Are you quizzing me? I'm asking you,

0:42:27.560 --> 0:42:30.719
<v Speaker 1>I'm asking you. The suitcase was too small? Right, Because

0:42:30.719 --> 0:42:32.719
<v Speaker 1>if the trophy were too small, that doesn't make sense.

0:42:32.760 --> 0:42:37.240
<v Speaker 1>It wouldn't it wouldn't prevent it from into the suitcase. Correct.

0:42:37.440 --> 0:42:41.120
<v Speaker 1>But here's the thing that pronoun It could refer to

0:42:41.160 --> 0:42:44.520
<v Speaker 1>either the trophy or the suitcase. It's the context of

0:42:44.560 --> 0:42:47.400
<v Speaker 1>the question. It's how we understand what the question is

0:42:47.440 --> 0:42:50.680
<v Speaker 1>asking that we're able to give the answer. But if

0:42:50.719 --> 0:42:54.080
<v Speaker 1>we were able to change one word in that sentence,

0:42:54.160 --> 0:42:57.080
<v Speaker 1>we could completely change which answer was the correct one.

0:42:57.120 --> 0:42:59.680
<v Speaker 1>So I said the trophy would not fit in the

0:42:59.680 --> 0:43:03.360
<v Speaker 1>brown suitcase because it was too large. What was too large?

0:43:04.600 --> 0:43:08.320
<v Speaker 1>The trophy? Right? So by changing one word in the sentence,

0:43:08.400 --> 0:43:11.200
<v Speaker 1>I have changed like I've kept everything else the same,

0:43:11.200 --> 0:43:14.160
<v Speaker 1>I've kept the same answers. I kept the same everything

0:43:14.160 --> 0:43:16.799
<v Speaker 1>else except for the changing the small to large, and

0:43:16.880 --> 0:43:20.160
<v Speaker 1>that changes which answer is the correct one. So if

0:43:20.200 --> 0:43:23.120
<v Speaker 1>you were able to pose a series of these style

0:43:23.200 --> 0:43:26.920
<v Speaker 1>of questions where by changing one word you could swap

0:43:26.960 --> 0:43:30.839
<v Speaker 1>out which answer is the correct answer and otherwise you've

0:43:30.840 --> 0:43:34.200
<v Speaker 1>got the same answers for each individual pair of questions,

0:43:34.480 --> 0:43:38.000
<v Speaker 1>and the computer was able to reliably answer which one

0:43:38.120 --> 0:43:41.200
<v Speaker 1>is the correct answer, then they would argue that is

0:43:41.239 --> 0:43:44.719
<v Speaker 1>a better demonstration of machine intelligence because the computer is

0:43:44.719 --> 0:43:47.120
<v Speaker 1>actually comprehending what was being asked and coming up with

0:43:47.120 --> 0:43:49.680
<v Speaker 1>the correct answer. Yeah, so that actually is more general

0:43:49.719 --> 0:43:53.040
<v Speaker 1>than just natural language processing. It's not just making good

0:43:53.120 --> 0:43:57.200
<v Speaker 1>sense of the grammatical units in this sentence. It's actually

0:43:57.280 --> 0:44:00.239
<v Speaker 1>drawing on a knowledge base, the kind of NOLED ledge

0:44:00.239 --> 0:44:02.759
<v Speaker 1>base that would tell you, yes, a thing would have

0:44:02.840 --> 0:44:05.839
<v Speaker 1>to fit inside a suitcase. It would. It's having to

0:44:05.880 --> 0:44:09.560
<v Speaker 1>get rid of ambiguity, right. The ambiguity is the pronoun.

0:44:09.880 --> 0:44:12.040
<v Speaker 1>The same thing, by the way, can be true if

0:44:12.080 --> 0:44:15.439
<v Speaker 1>you use people's names and you just you make sure

0:44:15.480 --> 0:44:18.719
<v Speaker 1>that the two names are are gender compatible. It's the

0:44:18.760 --> 0:44:21.279
<v Speaker 1>same gender whether you know, it doesn't have to be

0:44:21.360 --> 0:44:23.759
<v Speaker 1>one that's specific to a gender. But you could say,

0:44:23.800 --> 0:44:26.960
<v Speaker 1>like Chris and Sam, and then you use the pronoun

0:44:27.080 --> 0:44:31.120
<v Speaker 1>he and you don't you know, designate otherwise other than

0:44:31.160 --> 0:44:34.680
<v Speaker 1>the context of the sentence who he is? And you

0:44:34.719 --> 0:44:38.080
<v Speaker 1>asked that question like who is he? Is it Chris

0:44:38.160 --> 0:44:40.799
<v Speaker 1>or is it Sam? Then if the computer is able

0:44:40.840 --> 0:44:43.879
<v Speaker 1>to reliably answer those kind of questions, then again that's

0:44:43.880 --> 0:44:47.120
<v Speaker 1>a good demonstration of machine intelligence. And it it all

0:44:47.200 --> 0:44:53.880
<v Speaker 1>is about this ambiguous sentence being uh analyzed and understood

0:44:54.920 --> 0:44:57.560
<v Speaker 1>and I think that this is a slightly easier problem

0:44:57.640 --> 0:45:00.000
<v Speaker 1>for a machine to tackle, or for a program or

0:45:00.160 --> 0:45:04.000
<v Speaker 1>to have a machine tackle rather because well Joe Joe

0:45:04.080 --> 0:45:05.640
<v Speaker 1>used in our notes that this reminds you of the

0:45:05.719 --> 0:45:07.640
<v Speaker 1>verbal section of the S A T. And I think

0:45:07.680 --> 0:45:11.160
<v Speaker 1>that that in in contrast to the reading section, it's

0:45:11.160 --> 0:45:16.640
<v Speaker 1>it's just a slightly more logic based umblem. Yeah. And

0:45:16.719 --> 0:45:21.760
<v Speaker 1>see the issue here though, is that this test tests

0:45:21.840 --> 0:45:26.160
<v Speaker 1>comprehension as opposed to just pulling up from a database

0:45:26.440 --> 0:45:32.600
<v Speaker 1>of pre existing responses or even just patterns that a

0:45:32.680 --> 0:45:35.480
<v Speaker 1>chatbot can pull from where there's no understanding there, right,

0:45:35.520 --> 0:45:39.240
<v Speaker 1>there's no And you could in theory, present any new

0:45:39.320 --> 0:45:43.479
<v Speaker 1>type of sentence that follows this pattern and then ask

0:45:43.560 --> 0:45:46.319
<v Speaker 1>any type of question that follows this pattern to a

0:45:46.320 --> 0:45:49.160
<v Speaker 1>computer capable of answering these things, and it would be

0:45:49.160 --> 0:45:51.600
<v Speaker 1>able to handle it. It It wouldn't just be a preset

0:45:51.600 --> 0:45:54.400
<v Speaker 1>all right, Well, there's these twenty questions that you know

0:45:54.480 --> 0:45:56.840
<v Speaker 1>we're going to ask you, so make sure your computer

0:45:56.920 --> 0:45:59.200
<v Speaker 1>can answer them, because that's just you know, you could

0:45:59.200 --> 0:46:01.279
<v Speaker 1>just program a comp it or to say, yeah, when

0:46:01.320 --> 0:46:04.600
<v Speaker 1>the sentences in this order, this is the answer you give. Um,

0:46:04.800 --> 0:46:07.120
<v Speaker 1>it would have to be able to answer any question

0:46:07.200 --> 0:46:10.000
<v Speaker 1>it had never seen before and be able to comprehend

0:46:10.080 --> 0:46:12.600
<v Speaker 1>what the question was asking and give the proper answer.

0:46:13.000 --> 0:46:16.560
<v Speaker 1>So that is a different type of intelligence than just

0:46:16.880 --> 0:46:20.319
<v Speaker 1>natural language processing. It goes beyond that. But these these

0:46:20.320 --> 0:46:23.120
<v Speaker 1>are not the only ideas that are out there. I mean,

0:46:23.160 --> 0:46:26.040
<v Speaker 1>we all actually kind of have probably our own concepts

0:46:26.040 --> 0:46:28.040
<v Speaker 1>of how this would go. Joe, you mentioned one, well,

0:46:28.080 --> 0:46:30.600
<v Speaker 1>I was kind of joking, but kind of serious. Also

0:46:30.800 --> 0:46:33.879
<v Speaker 1>my ideas you should have a computer program that has

0:46:33.920 --> 0:46:37.759
<v Speaker 1>to write fan fiction. You so, you you give it

0:46:37.800 --> 0:46:41.080
<v Speaker 1>a story about a character, and then it has to

0:46:41.120 --> 0:46:44.080
<v Speaker 1>look at that and then itself come back and write

0:46:44.080 --> 0:46:48.400
<v Speaker 1>a short story about the same character basically in keeping

0:46:48.440 --> 0:46:52.440
<v Speaker 1>with what human judges would agree is that character's psychological profile,

0:46:52.520 --> 0:46:54.839
<v Speaker 1>how how this character should behave So not only would

0:46:54.880 --> 0:46:59.880
<v Speaker 1>it have to understand the the motivations and personality of

0:47:00.040 --> 0:47:01.760
<v Speaker 1>the character, it would have to be able to construct

0:47:01.800 --> 0:47:06.040
<v Speaker 1>a narrative, which let's let's hold to at least at

0:47:06.080 --> 0:47:08.640
<v Speaker 1>least the standard that the narrative needs to make sense. Right,

0:47:08.680 --> 0:47:10.840
<v Speaker 1>I'm not saying it has to be a real good story.

0:47:11.120 --> 0:47:13.600
<v Speaker 1>I'm just saying it has to be the kind of

0:47:13.680 --> 0:47:16.920
<v Speaker 1>story a human would write if they understood the character

0:47:16.960 --> 0:47:20.799
<v Speaker 1>they were writing. Your standards are really slipping already. That

0:47:20.880 --> 0:47:22.680
<v Speaker 1>is a tough one too. We had a whole episode

0:47:22.719 --> 0:47:25.120
<v Speaker 1>where we talked about whether computers are capable of creating

0:47:25.239 --> 0:47:28.600
<v Speaker 1>art and how difficult the problem of a computer writing

0:47:28.760 --> 0:47:31.520
<v Speaker 1>in a author's voice can be. Let's be fair, though

0:47:31.560 --> 0:47:36.200
<v Speaker 1>fan fiction authors, only a small number of them are

0:47:36.320 --> 0:47:39.920
<v Speaker 1>are what I would consider really really good. There are

0:47:40.000 --> 0:47:42.200
<v Speaker 1>some really really good ones, and that's only because there's

0:47:42.200 --> 0:47:45.040
<v Speaker 1>so much fan fiction. I would argue that there are

0:47:45.080 --> 0:47:47.239
<v Speaker 1>only a few really good ones that that that that

0:47:47.280 --> 0:47:49.520
<v Speaker 1>the percentage. I mean, there's just there's a great deal

0:47:49.560 --> 0:47:53.080
<v Speaker 1>of it on the internet. Okay, fair, fair enough, Like

0:47:53.200 --> 0:47:55.120
<v Speaker 1>you would say, you know, there's only a few really

0:47:55.160 --> 0:47:58.319
<v Speaker 1>good television shows on TV, but there's a lot of it.

0:47:59.400 --> 0:48:02.280
<v Speaker 1>So now I would say that this would be truly

0:48:02.360 --> 0:48:05.839
<v Speaker 1>challenging because not only would it have to analyze the

0:48:05.880 --> 0:48:08.960
<v Speaker 1>existing work so it could get a handle on what

0:48:09.120 --> 0:48:13.880
<v Speaker 1>this character is and what this character's uh motivations and

0:48:13.920 --> 0:48:17.960
<v Speaker 1>behaviors tend to be, then create a brand new situation

0:48:18.000 --> 0:48:20.680
<v Speaker 1>for this character to inhabit, have the character behave in

0:48:20.680 --> 0:48:24.640
<v Speaker 1>a believable way within that situation and have the situation

0:48:24.680 --> 0:48:26.480
<v Speaker 1>at least makes some sort of sense, so that you

0:48:26.560 --> 0:48:30.239
<v Speaker 1>don't have random events following one another with no sense

0:48:30.280 --> 0:48:34.279
<v Speaker 1>of causation. Right, So this wouldn't involve things like processing

0:48:34.360 --> 0:48:36.920
<v Speaker 1>visual information and all that kind of stuff. I was

0:48:37.000 --> 0:48:39.880
<v Speaker 1>trying to imagine something that would still be text based

0:48:40.080 --> 0:48:43.520
<v Speaker 1>the way the Turing test is today, but it would

0:48:43.560 --> 0:48:48.640
<v Speaker 1>require a much much deeper kind of idea of socialization

0:48:48.719 --> 0:48:53.120
<v Speaker 1>and general knowledge and emotional intelligence that that these chatbots

0:48:53.160 --> 0:48:55.400
<v Speaker 1>really can't come close to, right. And I think that

0:48:55.400 --> 0:48:59.520
<v Speaker 1>that concept of emotion being part of the test is

0:48:59.520 --> 0:49:01.319
<v Speaker 1>a really interesting one because it seems like a lot

0:49:01.320 --> 0:49:04.880
<v Speaker 1>of these new propositions for Turing tests all kind of

0:49:04.960 --> 0:49:07.359
<v Speaker 1>hinge on the question of a machine being able to

0:49:07.520 --> 0:49:10.480
<v Speaker 1>understand human emotions. So I mean, like, are we are

0:49:10.520 --> 0:49:14.399
<v Speaker 1>we working towards a clump test being the new Turing test?

0:49:14.440 --> 0:49:16.520
<v Speaker 1>If you don't recognize what that is. It was the

0:49:16.600 --> 0:49:19.799
<v Speaker 1>machine that determined whether replicants were replicants or humans in

0:49:20.239 --> 0:49:24.600
<v Speaker 1>Blade runner Um or or yeah, just bringing Lieutenant data

0:49:24.719 --> 0:49:27.319
<v Speaker 1>in here and having him talk to computers about whether

0:49:27.360 --> 0:49:31.000
<v Speaker 1>or not their computers And well, I don't think the

0:49:31.000 --> 0:49:33.600
<v Speaker 1>Winograd test would really involve that, but the other two

0:49:33.680 --> 0:49:36.839
<v Speaker 1>definitely would. Yeah, yeah, And I'm not sure how I

0:49:36.880 --> 0:49:39.480
<v Speaker 1>feel about that element. I do think that the original

0:49:39.960 --> 0:49:43.520
<v Speaker 1>Turing test is about creating a computer that behaves like

0:49:43.600 --> 0:49:47.279
<v Speaker 1>a human rather than thinks like a human. And I

0:49:47.280 --> 0:49:49.719
<v Speaker 1>think that we need to ask ourselves whether human behavior

0:49:50.000 --> 0:49:52.640
<v Speaker 1>is the gold standard of intelligence, which which we talked

0:49:52.640 --> 0:49:55.640
<v Speaker 1>about earlier a little bit here. Human intelligence is not

0:49:55.719 --> 0:49:58.440
<v Speaker 1>the only kind of intelligence, nor is it necessarily the

0:49:58.480 --> 0:50:01.040
<v Speaker 1>one that we need to focus on to create machines

0:50:01.080 --> 0:50:03.839
<v Speaker 1>that are truly useful to us. Right? And is that

0:50:04.000 --> 0:50:06.680
<v Speaker 1>is that, in fact bio chauvinistic, That is that is

0:50:06.719 --> 0:50:09.520
<v Speaker 1>a real word that I heard real researchers by saying,

0:50:09.560 --> 0:50:12.480
<v Speaker 1>this machine isn't intelligent because it can't talk to me

0:50:12.600 --> 0:50:17.040
<v Speaker 1>about the last television show I saw or the last

0:50:17.360 --> 0:50:20.000
<v Speaker 1>mut song I listened to. And if it can't do that,

0:50:20.000 --> 0:50:22.040
<v Speaker 1>then it can't be intelligent. That does seem to be

0:50:22.080 --> 0:50:24.920
<v Speaker 1>pretty shortsighted, sure, I mean, especially if you think about it,

0:50:24.920 --> 0:50:27.200
<v Speaker 1>There are plenty of human beings that couldn't pass the

0:50:27.200 --> 0:50:29.280
<v Speaker 1>Tearing test. There are plenty of human beings who haven't

0:50:29.320 --> 0:50:32.840
<v Speaker 1>passed the Teares right, right, Um, So, like she experienced

0:50:32.840 --> 0:50:36.279
<v Speaker 1>scholars for example. Right, right, So, so maybe maybe we

0:50:36.320 --> 0:50:40.720
<v Speaker 1>need to in fact revise our concept of intelligence here um,

0:50:40.760 --> 0:50:45.000
<v Speaker 1>even beyond the point where a single test is useful

0:50:45.400 --> 0:50:48.200
<v Speaker 1>in this question. Yeah, That's exactly what I was wondering

0:50:48.280 --> 0:50:51.600
<v Speaker 1>when I was doing research for this. I started thinking,

0:50:52.080 --> 0:50:55.840
<v Speaker 1>maybe there just isn't a test. Maybe there isn't one

0:50:55.880 --> 0:50:58.759
<v Speaker 1>test that we should think of as the standard bar

0:50:58.840 --> 0:51:02.080
<v Speaker 1>for artificial intelligence, something like the Turing test or one

0:51:02.080 --> 0:51:05.120
<v Speaker 1>of our alternatives. It might be a really good sort

0:51:05.120 --> 0:51:09.600
<v Speaker 1>of goal post in a narrowly focused part of artificial intelligence,

0:51:09.600 --> 0:51:14.400
<v Speaker 1>but I can't imagine what the test would be for

0:51:14.400 --> 0:51:19.560
<v Speaker 1>for the truly general intelligence question. Right. So. In other words,

0:51:19.880 --> 0:51:22.319
<v Speaker 1>these tests might be useful in that they can give

0:51:22.440 --> 0:51:26.480
<v Speaker 1>focus to people working in artificial intelligence specific goals to

0:51:26.560 --> 0:51:29.920
<v Speaker 1>work toward. But even if you achieve that goal, that

0:51:29.960 --> 0:51:33.600
<v Speaker 1>doesn't necessarily mean that you have achieved strong AI. It

0:51:33.680 --> 0:51:36.800
<v Speaker 1>may be that we move the goal posts, which happens

0:51:36.880 --> 0:51:40.480
<v Speaker 1>with us trying to define what human intelligence is, right,

0:51:40.560 --> 0:51:42.719
<v Speaker 1>we we end up kind of it ends up being

0:51:42.719 --> 0:51:45.560
<v Speaker 1>one of those arguments where you say, well I can't

0:51:45.600 --> 0:51:48.000
<v Speaker 1>necessarily tell you what it is, I can start telling

0:51:48.000 --> 0:51:50.520
<v Speaker 1>you what it isn't. And eventually we're gonna eliminate enough

0:51:50.560 --> 0:51:53.160
<v Speaker 1>stuff so that we have whatever the Colonel is and

0:51:53.239 --> 0:51:55.399
<v Speaker 1>that will be our definition. But we're not there yet.

0:51:55.840 --> 0:51:58.120
<v Speaker 1>The same may be true with machine intelligence. In fact,

0:51:58.160 --> 0:52:00.320
<v Speaker 1>I assume it what really will be. And one of

0:52:00.360 --> 0:52:04.520
<v Speaker 1>the things I propose is that instead of creating actual tests,

0:52:05.000 --> 0:52:08.040
<v Speaker 1>things that we think the machines need to overcome and saying, well,

0:52:08.080 --> 0:52:09.880
<v Speaker 1>now we've reached the point where we can say this

0:52:09.920 --> 0:52:13.400
<v Speaker 1>machine is truly intelligent, another thing we could do is

0:52:13.440 --> 0:52:17.440
<v Speaker 1>just watch and look for examples of things that we

0:52:17.480 --> 0:52:21.000
<v Speaker 1>consider to be part of intelligence. And again we're coming

0:52:21.040 --> 0:52:23.839
<v Speaker 1>from it from a human perspective, because most of us

0:52:23.840 --> 0:52:27.880
<v Speaker 1>are humans, you know, Yeah, then to some degree or another,

0:52:28.520 --> 0:52:30.560
<v Speaker 1>And so we think of it as things like things

0:52:30.600 --> 0:52:35.239
<v Speaker 1>that that humans exhibit, like curiosity, the desire to know

0:52:35.400 --> 0:52:38.919
<v Speaker 1>how something works, and the the innovation to find out

0:52:39.000 --> 0:52:42.440
<v Speaker 1>how it works by trying different things, experimentation. The Board

0:52:42.520 --> 0:52:46.160
<v Speaker 1>had curiosity. The Board also as a work of fiction,

0:52:47.160 --> 0:52:50.960
<v Speaker 1>and also I think you would agree the Board had intelligence,

0:52:51.840 --> 0:52:56.840
<v Speaker 1>so that's not even relevant to this discussion in multiple ways, uhize,

0:52:56.960 --> 0:53:02.400
<v Speaker 1>But yeah, this idea of having curiosity, experimentation, innovation invention

0:53:02.760 --> 0:53:05.880
<v Speaker 1>a machine inventing something like you were saying with the

0:53:06.040 --> 0:53:11.320
<v Speaker 1>creating a fan fiction, that's invention, right, That's not just regurgitation.

0:53:11.520 --> 0:53:14.759
<v Speaker 1>It's actually being able to understand rules at least on

0:53:14.840 --> 0:53:17.800
<v Speaker 1>some level. Maybe not human understanding, but it is able

0:53:17.840 --> 0:53:21.040
<v Speaker 1>to apply these rules and create something new with it.

0:53:22.200 --> 0:53:24.919
<v Speaker 1>This is something that is not easy to do, and

0:53:25.239 --> 0:53:27.759
<v Speaker 1>I think until we have machines that are capable of

0:53:27.800 --> 0:53:30.759
<v Speaker 1>doing all these things, we won't really say that we

0:53:30.840 --> 0:53:33.480
<v Speaker 1>have a strong AI And in fact, we may never

0:53:33.520 --> 0:53:36.080
<v Speaker 1>get there. And that's okay. If we never get there,

0:53:36.160 --> 0:53:38.120
<v Speaker 1>that's fine. We are we are still going to be

0:53:38.160 --> 0:53:41.759
<v Speaker 1>developing incredible machines that can do things that will make

0:53:41.760 --> 0:53:46.239
<v Speaker 1>our lives much easier on us. That it may not

0:53:46.400 --> 0:53:49.040
<v Speaker 1>mean that we're going to have a deep, meaningful conversation

0:53:49.080 --> 0:53:51.400
<v Speaker 1>with our computer, but it may mean our computer is

0:53:51.440 --> 0:53:54.000
<v Speaker 1>able to get us all the things that we need.

0:53:54.040 --> 0:53:57.320
<v Speaker 1>At that time, I wanted to follow up on exactly

0:53:57.360 --> 0:54:00.600
<v Speaker 1>that thing, because I was just thinking, maybe the real

0:54:00.719 --> 0:54:05.319
<v Speaker 1>test isn't a test we come up with, but a

0:54:05.360 --> 0:54:08.719
<v Speaker 1>test that's determined by utility. I mean, all these tests

0:54:08.760 --> 0:54:13.280
<v Speaker 1>we've been talking about are just sort of exercises. They're not. Yeah,

0:54:13.440 --> 0:54:16.960
<v Speaker 1>they're they're not what a machine can do for us.

0:54:17.080 --> 0:54:20.319
<v Speaker 1>There what we can get a machine to do in

0:54:20.400 --> 0:54:23.680
<v Speaker 1>front of us. That's a good way of putting it.

0:54:23.800 --> 0:54:27.840
<v Speaker 1>So yeah, it'll be interesting. I think we'll see more

0:54:28.320 --> 0:54:31.800
<v Speaker 1>debate about the UH, the usefulness of the touring test

0:54:31.920 --> 0:54:35.440
<v Speaker 1>as any form of measurement of machine intelligence, will see UH,

0:54:35.760 --> 0:54:39.920
<v Speaker 1>probably see other teams try to tackle these other harder,

0:54:40.320 --> 0:54:44.759
<v Speaker 1>arguably problems, and who knows, maybe within our lifetimes will

0:54:44.760 --> 0:54:48.360
<v Speaker 1>actually see machines that at least approach this this concept

0:54:48.400 --> 0:54:51.080
<v Speaker 1>of strong AI, or maybe we'll get to a point

0:54:51.120 --> 0:54:53.359
<v Speaker 1>where most people say, you know what, our our work

0:54:53.360 --> 0:54:56.600
<v Speaker 1>would be better suited going towards some other part of

0:54:56.640 --> 0:55:00.239
<v Speaker 1>machine intelligence that could directly benefit us, rather than drive

0:55:00.320 --> 0:55:03.520
<v Speaker 1>for a goal that is looking increasingly difficult to achieve

0:55:03.880 --> 0:55:07.120
<v Speaker 1>because every time we eliminate one thing, five more things

0:55:07.160 --> 0:55:09.400
<v Speaker 1>pop up and then we say, oh, this this problem

0:55:09.440 --> 0:55:13.279
<v Speaker 1>was more complex than I first anticipated. So um, I'm

0:55:13.320 --> 0:55:16.600
<v Speaker 1>interested to see how it goes. Maybe our listeners are too, Hey, listeners,

0:55:17.280 --> 0:55:20.120
<v Speaker 1>are you interested to see where artificial intelligence goes? Do

0:55:20.120 --> 0:55:22.000
<v Speaker 1>you have any thoughts on the subject, You've got any

0:55:22.239 --> 0:55:26.000
<v Speaker 1>opinions or or questions? Maybe you want us to clarify something,

0:55:26.120 --> 0:55:28.040
<v Speaker 1>or maybe you just want us to talk about some

0:55:28.400 --> 0:55:32.360
<v Speaker 1>entirely different subject, and you say enough with the AI

0:55:32.440 --> 0:55:36.040
<v Speaker 1>already talk about. I don't know the future of lawnmowers.

0:55:36.120 --> 0:55:39.600
<v Speaker 1>Let us know. We'll definitely give it strong consideration. You

0:55:39.600 --> 0:55:42.680
<v Speaker 1>can drop us a line on Facebook, Twitter, or Google Plus.

0:55:42.719 --> 0:55:46.239
<v Speaker 1>Our handle at all three is FW thinking, and we

0:55:46.280 --> 0:55:53.319
<v Speaker 1>will talk to you again really soon. For more on

0:55:53.360 --> 0:55:56.600
<v Speaker 1>this topic in the future of technology, visit forward thinking

0:55:56.680 --> 0:56:09.760
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