WEBVTT

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Doctor Steven Cap Rogers is our

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fearless leader , the founder of Act 3 ,

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Department of the Air Force senior

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technologist for AI , and has been uh

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running this group for going on a

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couple of decades now . So over to UCAP

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to lead us in the Kapersky lecture .

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Yeah , just a little context .

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So yeah , go , go to the next , go to

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the next slide , um . Some years back ,

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I was a young professor in the early

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80s , and I was poking around . I was

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really getting into optical computing

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and I ran into this guy , Matt Kriski ,

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Special K , and , and we worked

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together for about 30 years doing a

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whole bunch of stuff , which you can

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see on that plaque . That plaque is

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actually a vault . It's inside a vault ,

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a stiff on bass . We named it after him ,

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a big auditorium there , and you can ,

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you probably can't read the plaque

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there , but I mean , We did a diverse

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set of things and for a decade we had

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literally hundreds of graduate students

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through the graduate school there . It

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was , it was , it was quite a ride .

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Then , then I went off for a decade and

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did breast cancer detection , AI for

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breast cancer detection , and that came

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with me . And then um once we took that

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company public , um , I retired for a

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second time , but Matt and I had some

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problems we still cared about . And so

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I took this current job in 2006 . And

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so one of the deals was as we would

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every week get together to talk about

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these issues which we didn't think were

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being addressed , specifically the area

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of consciousness . And so that's how

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all this started , and I didn't want to

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short shrift the reason we do this . We

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lost him in 2011 after 5 years of this ,

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but we kept it going on in his honor .

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If you go to the next slide , the

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reason for the Gebersky lecture was in

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the original days we would do this over

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at AFIT , and so we had this sort of

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rotating group of graduate students for

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whatever reason , that occasionally we

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would let them graduate . You know , I

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don't , I don't think we're ever gonna

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let Collin graduate , but , you know ,

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we would let some of these guys

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graduate , new ones would come , and so

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we would sort of reboot and cause we'd

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have people join us during the year .

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It also gave us an ability to sort of

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pull together our current thoughts .

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And so that was this idea that I coined

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at the Kabrisky lecture , and here's

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what my intent is to cover . What we

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did this year , which we've never done

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before , we'll see if it works , is put

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together a deck of less than 30 slides

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to sort of take you from zero all the

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way up to , you know , full speed in

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terms of our weekly interactions . Uh ,

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that's quite a task . Um , but the

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result of that is we don't have a bunch

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of the examples we normally throw in to

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justify some of the things we're saying .

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So my intent is to say them and try to

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answer some of your questions , but ask

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them as we go because I want you to

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understand how we're using the terms .

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And then what we'll do is , is next

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week we'll throw in a bunch more

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examples to justify some of the

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statements or at least tell you how we

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got to where we are . But here's the

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content . A again , originally the idea

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was , is that there's something going

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on that nature figured out which people

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call consciousness . Um , over the last

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couple of years , what we figured out

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is as the rest of the AI world is

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converged on using this term , the way

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we were using it is not standard . The

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way a lot of people use it . So we

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started converging on where we're

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exactly focused , which is this word

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Qua . So we're going to start out by

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giving you some examples of Qua and why

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we currently think you create them , if

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you will , the cash value of Qua , and

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because I'm an AI guy and we were

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always sort of focused in this AI world ,

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the reason I care about that is It's

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our position that there is , there is a ,

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a role that the creation and experience

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you know quality plays in giving you

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the intelligence that you have . So

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we're gonna go down that path and

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specifically with respect to What is it

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we can discern about the way we

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represent Quaglia and how we might be

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able to exploit that in AI ? So we'll ,

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we'll converge on our set of tenants ,

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if you will , our , our S3Q theory of

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Quaglia . Um , and then we'll try to

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say , we'll try to finish up today by

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sort of tying that together and saying

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what are the implications of that with

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respect to sort of the standard ways

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you do AI ? And , and when I do AI

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generally I , I go through these steps ,

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you know , I I pick a language .

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Sometimes I do it in more than one

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representation . It might be a neural

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approach where the language is , you

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know , connections and weights and

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architectures and a learning role to

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sort of encode the model in that

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language . It could be in symbolic ,

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you know . Either way , you pick a

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language , you encode a model , and you

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use the model to do things . The piece

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that we haven't emphasized as much as

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we should , I think , But in fact , one

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of the key pieces of this Quaglia

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lecture is that that we're in in nature

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always form a new , newua and we'll

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we'll work our way through that . And I

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think that idea of changing the

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vocabulary as you go along , um , is

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sort of a key piece here . So those are

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sort of the four things . Um , by the

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way , um , again , yell at me if you

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have questions , put them in the chat .

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Other people can answer them probably

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better than me in the chat if you're

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comfortable with that , or just say it

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out loud and we'll go from there . So ,

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uh , go to the next slide , please . So

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you know what is this cu word ? What a

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call you . So look at this , these

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squares in the top right , the two sort

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of reddish squares in the top right .

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If you look at one of them , there's

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something you actually are experiencing

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that you see in your mind's eye , and

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you look at the other square , there's

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a slightly different experience looking

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at that one versus the first one . And

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so what those are , the key word is ,

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it's the quality , it's what you're

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actually seeing as a result of a

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stimuli coming in from the outside

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world . And it , you know , of course

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it isn't just visual . There's a

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discernible difference between those

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two squares , hopefully . Hopefully you

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can see it . Um , but similarly , you

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know , if I , if I hear , if I hear

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something like if rock stars playing

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Rosamunde for me , you know , from

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Schubert on a piano , you know ,

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there's sounds I hear , and there's

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that I hear it in my mind's , I'll say

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my mind's ear , or if I'm Eating a

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Giovanni's pizza over there on the left

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there's a taste I have . Those all are

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experiences , experiences I'm having .

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They're qualia that are evoked . And

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there's something discernibly different

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between the ones I'm experiencing and

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ones that could have been in their

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places . That square I could have made

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bluish , you know , that could have

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changed the huge saturation and

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blindness , huge saturation and

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brightness , and the quality evoked and

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you would have changed , OK . So there ,

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there is in fact a discernible

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difference between the different quaa

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that can represent different aspects of

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the things that are in this , this

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theater you're , you're creating , and

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that's that . That Cartesian theater

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picture in the middle there from our

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former colleague , the late Dan Dennett ,

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you know , he came up with this idea of

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you have this illusory Cartesian

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theater . It's as if you're have this a

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little homonculus sitting in , in

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Looking at an environment through your

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eyes , listening to it with your ears ,

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tasting it with your , you know ,

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ability to taste and touching it , etc .

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and you're having thoughts while you're

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in that theater . And so that's sort of

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the mental image . It's as if you're ,

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you're creating this sensory motor

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world model , and it isn't just a

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sensory data , you know , it's , it's ,

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for example , in humans , it includes

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moods . So they're on the bottom right

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every morning at dawn , I'm walking

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that dog at that lake , and It puts me

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in a mood , OK ? Um , you know , it's ,

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it's the emotions I feel , you know ,

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they're in the middle when I buried my

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dad , former Marian Gray at Arlington ,

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those emotions , you know , are , are ,

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you know , you put them all together

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with respect to how I spend my favorite

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days with , with my granddaughter

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Campbell , and I'm sorry about the blue

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things on her face , but that's a

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public affairs thing . You got to cover

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up children's faces . They don't worry

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about covering up my face . Who the he

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cares ? But everything gets tied

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together in in terms of this cohesive

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representation , OK ? And that's what

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quality are about . They populate that .

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A quality is any discernible aspect of

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those experiences . So it's , it's the

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redness of that square or the mood that

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I , I can say I am sort of in this .

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mood versus that or the emotions I feel

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that , hey , I love that granddaughter

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and I don't care about my grandsons ,

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you know , it's all those discernible

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differences . Those are the different

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qualia and they populate this world

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model for you or it makes it seem as if

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they are , they are your world model .

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Now , if you go to the next slide , you

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know , I'm , I want With no

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justification , but at this point , I

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want you to sort of accept the fact

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that where I'm headed is all that stuff

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that you're creating in your quality of

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space is , is not really driving the

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world . It's not really , it's not

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reality . So for example , that redness ,

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there's no red out there , OK ?

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Whatever you see in your mind's eye ,

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that's not what's out there . You're

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creating that to represent some aspect

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of the environment . The thoughts

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you're having , you're creating in this

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Qua theater to represent , you know ,

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this . Sort of mood versus that , this

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emotion versus that . So it in many

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ways is a tin god . It's not reality at

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all . And , and that's sort of an

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important leap to make , you know ,

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you're creating a stable , consistent ,

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and useful representation for the

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purpose of , of surviving and

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procreating . And if you go to the next

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slide , you , you know , that's this

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idea of a world model . You are

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creating this inside you as an agent .

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A representation that when things come

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in from the outside or you generate

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things from the inside , you can make

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sense out of it . You do the

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sense-making , OK ? And , and , and you

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do that independent of the uh I'm gonna

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contend , independent of the quality of

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formation . Quality of formation is

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going to play a role here , but I'm

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gonna contend that it's gonna play the

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role of populating and updating that

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world model . It is not , it is not in

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charge of it . It's not making any

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decisions for you , but it is critical

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in forming those memories in the in a

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representation that you can use in a ,

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in a useful manner . So I'm gonna

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define who you are , yourself , if you

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will , as your personal world model .

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It's your consistent perspective . I

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don't , I have recognized the hand from

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Kevin Smith , so we'll keep going . No ,

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go ahead , Nagle . I'm sorry . What ,

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what , what's populated mean ? Yeah ,

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so , so , um , as I was pointing out on

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those , for example , the red squares ,

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there could be an insertion of the of

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the quality you see at that square on

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the left , or I could similarly have

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moved that square on the right into its

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place and I populated it with a

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different quality . So what I'm saying

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is there , there is alternatives which

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you can discern the difference between .

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That's what I mean by populated . You

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populated your , your experiences , um ,

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with , with very specific quality

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experiences , and then that how you did

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that and how they relate to each other

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and how they interact is what you're

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going to use to update your knowledge .

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So means you have a specific experience .

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But that's , it's only populated for

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the learning because you were just

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making the decision making learning

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distinction . It's the pop the , it's

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not the populated thing isn't used for

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the decision making . What no what yeah ,

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that's a great question . What I'm

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suggesting to you , and this is , this

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is going to be quite controversial , is

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decision making is done outside of that

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Qua loop . The Qua loop is nothing more

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than to put everything into a

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consistent representation in the

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context of everything else , so it can

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update your knowledge . OK . The

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knowledge is your world model , OK ?

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And that's what you're using for all

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the decision making and sense making .

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And that's doing , that's going on ,

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that's stored away , that's outside of

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your , your quality of creation and

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experience loop . You're getting the

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illusion as if that is the world .

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You're getting the illusion is I made

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this conscious decision to do this or

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that , but that happens after the fact .

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I contend there's just so much data to

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suggest that that comes afterwards ,

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but it has to be created for this .

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Illusion to be consistent . Rockstar .

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Oh wait , uh , Michael is first .

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Ancient Mike . And one of the few

12:24.099 --> 12:26.539
people around who knew , you knew Matt .

12:27.320 --> 12:29.429
How is the quality of representation

12:29.840 --> 12:31.507
differ from just the standard

12:31.507 --> 12:33.507
representation ? Is there something

12:33.507 --> 12:36.150
unique about it ? Yeah , and so , so

12:36.150 --> 12:38.372
you know that the whole idea of the S3Q

12:38.372 --> 12:40.483
model is there are characteristics of

12:40.483 --> 12:42.317
that representation which we can

12:42.317 --> 12:44.372
discern based upon how we experience

12:44.372 --> 12:47.299
them , and we need to capture those in

12:47.299 --> 12:49.521
the way we're currently trying to do AI

12:49.521 --> 12:53.150
if that's what you're asking . OK ,

12:53.260 --> 12:57.059
OK , good . Rockstar ? Yes , this

12:57.059 --> 13:00.099
real short . Would you elaborate a

13:00.099 --> 13:03.219
little bit more by the last two words

13:03.219 --> 13:05.900
of this slide ? No , Claudia . Yeah ,

13:06.020 --> 13:08.187
go , go down to the next slide and I ,

13:08.187 --> 13:10.187
I think I'm going to parse it apart

13:10.187 --> 13:12.464
here in the next , yeah . So , so yeah ,

13:12.464 --> 13:14.631
thanks . So , so here in this slide on

13:14.631 --> 13:16.742
the upper above that squiggly line in

13:16.742 --> 13:18.853
the upper right , there's a world out

13:18.853 --> 13:20.964
there , OK ? Everything below that is

13:20.964 --> 13:22.964
inside my mind , all right ? So out

13:22.964 --> 13:24.964
there in the world , there's things

13:24.964 --> 13:26.909
that happen and I sense it with my

13:26.909 --> 13:29.187
sensors that comes into this knowledge ,

13:29.187 --> 13:31.242
my world model , if you will , and I

13:31.242 --> 13:33.464
can make sense of that and maybe decide

13:33.464 --> 13:35.687
what to do about it and go do it , OK ?

13:35.687 --> 13:37.853
I'm saying that happens and , and that

13:37.853 --> 13:39.909
is , is , I , um , you know , what ,

13:39.909 --> 13:41.909
what I think our colleague Robert ,

13:41.909 --> 13:41.799
who's sitting across the room from me

13:41.799 --> 13:43.632
right now , might call intuitive

13:43.632 --> 13:45.688
cognition . I make sense of it and I

13:45.688 --> 13:47.910
act upon it , OK ? But when I do that ,

13:47.910 --> 13:49.743
you know , I have to , I have to

13:49.743 --> 13:51.855
account for that in , in my knowledge

13:51.855 --> 13:54.077
representation . So I might evoke these

13:54.077 --> 13:56.410
things on the left side of this diagram ,

13:56.410 --> 13:58.521
those two ovals in the back . I might

13:58.521 --> 14:00.688
evoke the Qua creation system to say ,

14:00.688 --> 14:02.688
hey , you , you just saw this , you

14:02.688 --> 14:04.577
just did that , you just had this

14:04.577 --> 14:06.299
thought , Go create Quaglia to

14:06.299 --> 14:08.410
represent that and have an experience

14:08.410 --> 14:10.577
of it , but what it is like . And then

14:10.577 --> 14:12.910
when you have that experience , you say ,

14:12.910 --> 14:14.855
now that I've had that , I want to

14:14.855 --> 14:14.799
incorporate that back in my knowledge

14:14.799 --> 14:17.159
representation . So you , you now are

14:17.159 --> 14:19.450
able to account for experiences and

14:19.450 --> 14:21.228
update your knowledge via those

14:21.228 --> 14:23.719
experiences . So , What I'm suggesting

14:23.719 --> 14:26.359
to you , uh , Rockstar , is that I can

14:26.359 --> 14:28.581
come into my knowledge representation ,

14:28.581 --> 14:30.637
my world model , and respond with no

14:30.637 --> 14:32.748
Qua . And we're going to see examples

14:32.748 --> 14:34.859
of that with an example in Blindsight

14:34.859 --> 14:37.081
or , or incongruent images . We'll give

14:37.081 --> 14:39.192
you examples of that . And you can do

14:39.192 --> 14:38.960
that without Qua and do very

14:38.960 --> 14:41.071
complicated processing . I mean , the

14:41.071 --> 14:43.016
discernment there is , is freaking

14:43.016 --> 14:45.080
amazing . But if you want to update

14:45.080 --> 14:47.229
that representation to be able to use

14:47.229 --> 14:49.451
in the long term , then you're going to

14:49.451 --> 14:51.562
have to go through this Qua process .

14:51.562 --> 14:54.799
Glenn , thank you . Glenn . Welcome ,

14:54.809 --> 14:56.698
by the way . Yeah , I'm a , I'm a

14:56.698 --> 14:59.690
simple guy . So I just am reading an

14:59.690 --> 15:02.650
email , and whether it's all caps or

15:02.650 --> 15:05.640
whatever , and maybe there was , you

15:05.640 --> 15:07.862
know , email traffic leading up to it .

15:08.210 --> 15:10.969
But I take it on , you know , I see the

15:10.969 --> 15:14.909
text , but then all my biases and pre ,

15:15.010 --> 15:17.559
uh , you know , this is what it means ,

15:17.570 --> 15:20.130
or now this person , all the emails in

15:20.130 --> 15:22.719
caps . You know , the caps don't speak

15:22.719 --> 15:25.570
for themselves , so comment on , uh ,

15:25.960 --> 15:28.127
you know , I'm taking this whole world

15:28.127 --> 15:30.238
reality matrix thing and just boiling

15:30.238 --> 15:33.130
it down to a simple how we perceive an

15:33.130 --> 15:36.530
email over . So you , you get inputs in .

15:36.640 --> 15:39.549
I mean that's visual data . It comes in .

15:40.039 --> 15:42.679
It , you , you look at those , your

15:42.679 --> 15:44.901
eyes are looking at that . It takes the

15:44.901 --> 15:47.235
information , puts it up on your retina ,

15:47.235 --> 15:49.457
gets up on your visual cortex . You now

15:49.457 --> 15:51.512
use your knowledge that is stored to

15:51.512 --> 15:53.679
sort of interpret those words . Here's

15:53.679 --> 15:55.846
what those words mean . Um , the facts

15:55.846 --> 15:58.068
that they're in caps or not may in fact

15:58.068 --> 16:00.346
bring as as Kevin just put in the chat ,

16:00.346 --> 16:02.599
exclamation , information that isn't in

16:02.599 --> 16:04.640
the text itself , it's additional

16:04.640 --> 16:06.696
information that brings , uh , sense

16:06.696 --> 16:08.751
making in a different direction , if

16:08.751 --> 16:11.084
you will . Um , that , that all goes on ,

16:11.084 --> 16:13.400
but because it is language , because it

16:13.400 --> 16:15.567
is language and the way , the way this

16:15.567 --> 16:17.567
is going to work is you're going to

16:17.567 --> 16:19.678
come in and explore . It , but you're

16:19.678 --> 16:19.380
going to say , hey , I want to put this

16:19.380 --> 16:21.900
in context . So I create Gev . I read

16:21.900 --> 16:24.011
this word , that word . I create this

16:24.011 --> 16:26.130
sequence of , of Gwalia experiences

16:26.340 --> 16:28.284
associated with those sequences of

16:28.284 --> 16:30.284
words and what was in the paragraph

16:30.284 --> 16:32.340
before and what I did right before I

16:32.340 --> 16:34.396
got on this email . I had that phone

16:34.396 --> 16:36.229
call from uh from Neils , and so

16:36.229 --> 16:38.451
therefore I was in this frame of mind .

16:38.451 --> 16:40.451
All that goes into the sense making

16:40.451 --> 16:39.419
part of it .

16:44.320 --> 16:46.264
I'll come back to you , Glenn . Go

16:46.264 --> 16:48.209
ahead , Patrick . I got it . I was

16:48.209 --> 16:50.376
wondering if we could uh talk about uh

16:50.376 --> 16:52.859
cases of perception that don't lead to

16:52.859 --> 16:54.803
Quala . So something that might be

16:54.803 --> 16:57.026
perceived , but perhaps it's not , it's

16:57.026 --> 16:59.460
not the system is not capable of

16:59.460 --> 17:01.571
simulating it , or the representation

17:01.571 --> 17:03.682
isn't structurally coherent , right ?

17:03.682 --> 17:05.849
There are probably instances of things

17:05.849 --> 17:08.071
you perceive , maybe you can even react

17:08.071 --> 17:10.016
to them . But you may may not have

17:10.016 --> 17:12.127
formedqualia and therefore you're not

17:12.127 --> 17:14.238
able to create knowledge about them .

17:14.238 --> 17:16.460
Are there examples of that ? Yeah , but

17:16.460 --> 17:18.516
I'm gonna give you , I'll give you ,

17:18.516 --> 17:20.571
well , I'm gonna give you a slightly

17:20.571 --> 17:19.959
different version which I think will

17:19.959 --> 17:21.903
sneak up on the same . Go down two

17:21.903 --> 17:24.729
slides . To the blind side . No , oh ,

17:25.680 --> 17:27.680
there should be a , I'm sorry , one

17:27.680 --> 17:29.791
more slide , the blind slide , yeah ,

17:29.791 --> 17:32.069
yeah , yeah , OK , yeah . So , so this ,

17:32.069 --> 17:34.291
this poor critter here has had a stroke

17:34.291 --> 17:36.819
and his , his V1 has been destroyed

17:36.819 --> 17:39.390
bilaterally . So this individual , if

17:39.390 --> 17:41.446
you , if you stand him at the end of

17:41.446 --> 17:43.557
this hallway and you say , Hey , what

17:43.557 --> 17:45.279
do you see ? You're asking him

17:45.279 --> 17:47.446
consciously what quality you are being

17:47.446 --> 17:49.557
evoked as a result of the visual data

17:49.557 --> 17:51.834
coming in . And his answer will be , I ,

17:51.834 --> 17:53.946
I , I don't see anything , you know ,

17:53.946 --> 17:56.001
the world is black . I'm blind . And

17:56.001 --> 17:55.729
you say , walk down the hallway , but

17:55.729 --> 17:57.951
be careful . I put things in your way .

17:57.951 --> 18:00.173
And the person says , Give me my cane ,

18:00.173 --> 18:02.229
and I'll tap my way through them and

18:02.229 --> 18:04.396
you say , No , walk down the hallway .

18:04.396 --> 18:06.562
All right ? This person will walk down

18:06.562 --> 18:08.562
the hallway and dodge the objects ,

18:08.562 --> 18:10.785
even though if you ask him , you know ,

18:10.785 --> 18:13.007
what does he see ? He sees nothing . He

18:13.007 --> 18:15.173
is not generating visual qua , but yet

18:15.173 --> 18:17.285
he's getting visual data in and being

18:17.285 --> 18:19.562
able to react appropriately to it , OK ?

18:19.562 --> 18:21.673
Similarly , there are people who have

18:21.673 --> 18:23.840
strokes and , and they can't recognize

18:23.840 --> 18:25.840
faces . So they look at that , they

18:25.840 --> 18:28.007
look at Patrick there , and they say ,

18:28.007 --> 18:30.118
Hey , he's got glasses , he doesn't ,

18:30.118 --> 18:32.062
he has more hair than Cap , but he

18:32.062 --> 18:34.062
doesn't have a lot . He smiles , so

18:34.062 --> 18:36.173
he's not like Cap at all , you know ,

18:36.173 --> 18:38.340
he looks like a good guy , but I don't

18:38.340 --> 18:40.507
know who it is , and it turns out it's

18:40.507 --> 18:42.729
your mother , OK ? You know , she has ,

18:42.729 --> 18:44.729
you know , this prosopagnosia . She

18:44.729 --> 18:46.896
can't put it together into the patrick

18:46.896 --> 18:49.007
quality , OK ? She can do the quality

18:49.007 --> 18:51.062
of the individual pieces , but loses

18:51.062 --> 18:53.062
the quality of patrickness , if you

18:53.062 --> 18:55.285
will . You know , the example I used to

18:55.285 --> 18:57.507
use when I used to give this lecture in

18:57.507 --> 18:57.219
person , and I'll hold this to my

18:57.219 --> 18:59.800
camera here , was this device here , OK ?

19:00.060 --> 19:02.270
And I ask people what is that ? All

19:02.270 --> 19:03.770
right . And what it's like

19:03.770 --> 19:05.937
prosopagnosia . You describe it . Oh ,

19:05.937 --> 19:08.159
it's got a blue , it can go up and down

19:08.159 --> 19:10.159
on its cylinder . It's got a little

19:10.159 --> 19:12.159
pink part . I , they can't make the

19:12.159 --> 19:14.214
quality of what it is , but yet they

19:14.214 --> 19:16.270
can describe the pieces . So quality

19:16.270 --> 19:18.103
isn't just in the , in the , the

19:18.103 --> 19:20.270
sensory channel , it's in making sense

19:20.270 --> 19:22.214
of . And so again , that's for the

19:22.214 --> 19:24.381
purpose of , that's for the purpose of

19:24.381 --> 19:26.492
creating this um world model in a way

19:26.492 --> 19:28.437
that it can be exploited in a very

19:28.437 --> 19:30.659
general way . OK , I don't know if that

19:30.659 --> 19:32.714
got me to where you wanted to get to

19:32.714 --> 19:34.770
Patrick . It does , it does , yeah .

19:34.770 --> 19:37.739
Yeah , Robert . I'm just gonna mention

19:37.739 --> 19:41.339
the um study by Irving Biederman , 1972 ,

19:41.349 --> 19:43.293
published in the journal Science ,

19:43.293 --> 19:45.750
where he showed a 100 millisecond

19:45.750 --> 19:48.420
exposure . Of course , your brain is

19:48.420 --> 19:50.476
processing it longer than that , but

19:50.476 --> 19:52.309
100 millisecond , 10 of a second

19:52.309 --> 19:55.609
exposure of a street scene , people can

19:55.609 --> 19:58.660
uh If , if you ask them , can you

19:58.660 --> 20:02.060
detect uh uh a um a um

20:02.060 --> 20:05.060
mailbox in the street scene , if it's

20:05.060 --> 20:07.060
on the roof of a house , people are

20:07.060 --> 20:09.171
very poor at doing it , or if it's on

20:09.171 --> 20:11.171
the sidewalk near where it normally

20:11.171 --> 20:13.116
would be , people are very good at

20:13.116 --> 20:12.859
doing it . So in other words , you can

20:12.859 --> 20:14.900
get in the sense this self .

20:16.089 --> 20:18.810
Self-derived meaning , uh , in about

20:18.810 --> 20:20.560
10% of the exposure over .

20:22.810 --> 20:24.921
Yeah , we actually used to do that to

20:24.921 --> 20:27.088
our grad students . I would bring into

20:27.088 --> 20:29.319
the class a shutter from a camera , and

20:29.319 --> 20:31.541
we'd flash things very quickly for them

20:31.541 --> 20:33.541
and , and we would , you know , ask

20:33.541 --> 20:35.763
them about them , and it's , you know ,

20:35.763 --> 20:37.986
far too quick because of the scatting .

20:37.986 --> 20:37.800
You can't scatter around it , but yet

20:37.800 --> 20:40.959
you do get a lot of information . Go up

20:40.959 --> 20:43.630
two slides to the bat slide right there .

20:43.760 --> 20:47.699
Oh , down 1 . Thank you . So

20:47.699 --> 20:49.866
the point I'm trying to make here is ,

20:49.866 --> 20:51.977
you know , that , you know , so Kevin

20:51.977 --> 20:53.977
Schmidt there , I gave him the call

20:53.977 --> 20:55.866
sign Nagle for the reason of this

20:55.866 --> 20:55.650
article here . You know , it's focused

20:55.650 --> 20:58.959
on experience . It's also onua . And so ,

20:59.010 --> 21:01.288
you know , what is it like to be a bat .

21:01.288 --> 21:03.719
And this , this used to bother me a lot ,

21:03.839 --> 21:05.839
but honestly , it doesn't bother me

21:05.839 --> 21:08.117
anymore . I , I'm completely convinced .

21:08.117 --> 21:10.228
I , what it would be like to be a bat

21:10.228 --> 21:12.800
is this bat has to have created a

21:12.800 --> 21:15.670
sensory motor world model for bat space ,

21:15.959 --> 21:18.479
you know . So , so this bat is , I

21:18.479 --> 21:20.719
suspect , creating Qua . Associated

21:20.719 --> 21:22.997
with the way it senses the environment ,

21:22.997 --> 21:24.663
the way it interacts with the

21:24.663 --> 21:26.830
environment , and then it creates this

21:26.830 --> 21:29.052
world model that as it's flying through

21:29.052 --> 21:29.000
real fast , it doesn't have to create

21:29.000 --> 21:31.056
the quality to react appropriately ,

21:31.056 --> 21:33.222
but yet it , it can create the quality

21:33.222 --> 21:35.222
to update its knowledge . And , you

21:35.222 --> 21:37.389
know , I , I put this little quote , I

21:37.389 --> 21:39.167
just came about recently , um ,

21:39.400 --> 21:41.400
Wittgenstein , you know , suggested

21:41.400 --> 21:43.678
that , you know , if a lion could talk ,

21:43.678 --> 21:46.011
we wouldn't understand what it's saying .

21:46.011 --> 21:48.289
You know , and I , I think what , what ,

21:48.289 --> 21:48.030
what all these people have realized is ,

21:48.349 --> 21:51.229
is that it's so , and dreamer , Bob

21:51.229 --> 21:53.396
Mash sitting across the room from me ,

21:53.396 --> 21:55.562
you know , he pointed up that I needed

21:55.562 --> 21:57.729
to fix this to say agent centric , you

21:57.729 --> 21:59.785
know , so I think I think this makes

21:59.785 --> 22:01.896
the sense of the quality I experience

22:01.896 --> 22:04.160
are unique to me and probably there's

22:04.160 --> 22:06.271
some similarity with other members of

22:06.271 --> 22:08.493
my species , but the quality created by

22:08.493 --> 22:10.549
these other species is unique to the

22:10.549 --> 22:12.493
way they interact and the way they

22:12.493 --> 22:12.280
sense the world , and it would make

22:12.280 --> 22:14.447
sense to us , even if I could see your

22:14.447 --> 22:16.558
quality . If you're , if you're , for

22:16.558 --> 22:18.891
example , a lion , you know , and so it ,

22:18.891 --> 22:20.891
it does me no good . So go down one

22:20.891 --> 22:22.947
more slide , Katrina , and then I'll

22:22.947 --> 22:25.058
get to you . One second here . I just

22:25.058 --> 22:27.336
want to hit this , this one right here ,

22:27.336 --> 22:27.074
and that , so where I , where I've

22:27.074 --> 22:29.635
landed is there is a reason forua

22:29.635 --> 22:32.359
creation . And the reason is For the

22:32.359 --> 22:34.526
creation and maintenance of that world

22:34.526 --> 22:36.748
model , the thing that is , is deciding

22:36.748 --> 22:38.970
what you're doing , doing what you need

22:38.970 --> 22:40.581
to do , interacting with the

22:40.581 --> 22:42.803
environment , executing those actions ,

22:42.803 --> 22:44.803
interacting with other agents . Qua

22:44.803 --> 22:46.915
puts everything into a representation

22:46.915 --> 22:49.137
that allows you to keep it in context ,

22:49.137 --> 22:51.930
and Katrina . Yeah , just on that

22:51.930 --> 22:54.290
previous slide , I think you could add

22:54.290 --> 22:56.739
the word umwelt there , which is that

22:56.739 --> 23:00.250
Jacob von Uskal notion that like our

23:00.250 --> 23:02.361
biology constrains our quality . So I

23:02.361 --> 23:04.528
think that relates back to the earlier

23:04.528 --> 23:06.694
slide you said about self , where your

23:06.694 --> 23:08.750
self is giving you kind of the frame

23:08.750 --> 23:10.639
through which any of that sensory

23:10.639 --> 23:12.639
information available to you in the

23:12.639 --> 23:14.861
world is used to create a world model .

23:17.880 --> 23:19.824
Perfect , perfect . That's exactly

23:19.824 --> 23:21.991
right . So the point is , the point of

23:21.991 --> 23:24.324
all this is what nature figured out was ,

23:24.324 --> 23:26.047
there is a way to create a , a

23:26.047 --> 23:29.109
agent-centric semantic . World model

23:29.109 --> 23:31.770
something that makes meaning for you as

23:31.770 --> 23:33.826
an individual . I can compensate for

23:33.826 --> 23:35.714
the deficiencies in your personal

23:35.714 --> 23:37.937
sensors if I have this general approach

23:37.937 --> 23:40.103
to creating this representation of the

23:40.103 --> 23:42.159
way the environment is and where you

23:42.159 --> 23:44.103
fit in that environment . Thoughts

23:44.103 --> 23:46.214
you're having , how do they relate to

23:46.214 --> 23:48.449
the environment ? And , and , and so if

23:48.449 --> 23:51.569
you , if you now go down , um , go down

23:51.569 --> 23:55.510
a slide , one more . Um , you

23:55.510 --> 23:57.843
know , this is just pointing out , yeah ,

23:57.843 --> 23:59.843
let's stay here for just a second .

23:59.843 --> 24:01.732
This is just pointing out for the

24:01.732 --> 24:03.954
blindside patient , how does my diagram

24:03.954 --> 24:06.121
change ? My diagram suggests that that

24:06.121 --> 24:07.954
that guy is interacting with the

24:07.954 --> 24:09.954
environment , using his knowledge ,

24:09.954 --> 24:12.177
using his world model , and on the left

24:12.177 --> 24:14.343
side he's not creating quality for the

24:14.343 --> 24:16.699
visual input . But I'm sure that he's

24:16.699 --> 24:18.866
creatingqua with respect to , oh , now

24:18.866 --> 24:20.977
I'm moving to the left . Oh , now I'm

24:20.977 --> 24:23.088
ducking down underneath the , I think

24:23.088 --> 24:24.921
he has to have created those Qua

24:24.921 --> 24:27.088
because he has , you know , he's still

24:27.088 --> 24:29.310
interacting and experiencing those . He

24:29.310 --> 24:31.477
just can't say , Hey , that's a ladder

24:31.477 --> 24:33.699
right in front of me , or you've left a

24:33.699 --> 24:33.420
printer laying on the floor and I'm

24:33.420 --> 24:35.739
dodging it . He can't do thatua

24:35.739 --> 24:37.961
formation , but I suspect he's creating

24:37.961 --> 24:40.017
the other Quaglia . Um , go down one

24:40.017 --> 24:43.520
more slide . And so this , this is the

24:43.520 --> 24:45.631
white quest , you know , this is what

24:45.631 --> 24:47.631
we're after here . We're after this

24:47.631 --> 24:49.687
idea of , of , of the creation . You

24:49.687 --> 24:51.909
know , the maintenance , creation , the

24:51.909 --> 24:54.076
exploitation of , of world models that

24:54.076 --> 24:55.964
will allow us to make journalists

24:55.964 --> 24:57.964
agents , agents that can do lots of

24:57.964 --> 24:59.798
stuff , not just one thing , not

24:59.798 --> 25:02.199
memorize the idiosyncratic details of

25:02.199 --> 25:04.255
some set of data and then be able to

25:04.255 --> 25:06.366
replicate that and hopefully that the

25:06.366 --> 25:08.366
data is close enough to what you're

25:08.366 --> 25:10.532
going to do in the real world . That's

25:10.532 --> 25:12.699
OK . That is bringing value , but it's

25:12.699 --> 25:12.319
not what we're really after . What

25:12.319 --> 25:14.400
we're after is this idea of creating

25:14.400 --> 25:16.400
this , uh , more generalist agent ,

25:16.400 --> 25:18.622
which requires creating a world model .

25:18.622 --> 25:21.119
And , and go down the next slide . And

25:21.119 --> 25:23.479
so that's what ties us to this idea of ,

25:23.670 --> 25:25.392
of intelligence and artificial

25:25.392 --> 25:27.614
intelligence . This is my definition of

25:27.614 --> 25:29.781
intelligence . It's this ability of an

25:29.781 --> 25:32.003
agent to create knowledge . The way you

25:32.003 --> 25:34.410
create knowledge is by experience ,

25:34.489 --> 25:36.770
interacting with the environment , by

25:36.770 --> 25:38.826
reasoning , thinking , if you will ,

25:38.826 --> 25:40.992
manipulating the knowledge you already

25:40.992 --> 25:43.048
have , by using your sensors , or by

25:43.048 --> 25:45.048
other agents giving you knowledge ,

25:45.048 --> 25:47.729
culture . And AI is just these days a

25:47.729 --> 25:49.785
computer that could do that . Notice

25:49.785 --> 25:51.673
I've completely taken out of this

25:51.673 --> 25:53.951
definition of AI . any idea , you know ,

25:53.969 --> 25:56.136
for whatever reason , the daf likes to

25:56.136 --> 25:58.358
tie it to doing things that humans do .

25:58.358 --> 26:00.650
I , I think that's just a silly

26:00.650 --> 26:02.872
measurement . That's just the wrong way

26:02.872 --> 26:04.983
to think about . stuff . I think it's

26:04.983 --> 26:07.094
all about creating these world models

26:07.094 --> 26:09.261
which allows this agent , whatever you

26:09.261 --> 26:11.261
want to do , uh , interact with the

26:11.261 --> 26:13.261
world in that meaningful way . That

26:13.261 --> 26:15.150
that's what we're after . I'm not

26:15.150 --> 26:17.261
conflating . Now here's a big thing ,

26:17.261 --> 26:17.135
and this is where Ancient Mike usually

26:17.135 --> 26:19.357
throws stuff at me and he's right , and

26:19.357 --> 26:21.468
he's made me really focus this down .

26:21.468 --> 26:23.734
I'm not conflating intelligence with

26:23.734 --> 26:26.012
Qua or intelligence with consciousness .

26:26.180 --> 26:28.402
But I am absolutely going down the path

26:28.402 --> 26:31.469
of quality formation is the key to the

26:31.469 --> 26:33.525
way that we've created the knowledge

26:33.525 --> 26:35.747
that we're using to do the things we're

26:35.747 --> 26:37.802
doing . And so therefore , I'm going

26:37.802 --> 26:39.913
down this path of it in fact is a key

26:39.913 --> 26:42.080
to making , you know , more generalist

26:42.080 --> 26:44.890
AI agents . The lessons I can learn

26:44.890 --> 26:47.640
based upon the studying of Qua . Next

26:47.640 --> 26:50.699
slide . Yeah , this is Bogdan , if I

26:50.699 --> 26:53.579
may , uh , jump in a bit . I have a

26:53.579 --> 26:55.579
question related to actually to the

26:55.579 --> 26:58.060
example of the , of the mailbox that

26:58.060 --> 27:00.140
people cannot find on the top of the

27:00.140 --> 27:02.609
buildings if they are exposed for 100

27:02.609 --> 27:04.939
milliseconds . And I think what Katrina

27:04.939 --> 27:07.609
said cemented the choira for me . Uh ,

27:07.849 --> 27:10.071
but let me ask you , if , if this makes

27:10.071 --> 27:12.238
sense . So we have , we expose a photo

27:12.238 --> 27:14.349
to somebody for 100 milliseconds . We

27:14.349 --> 27:16.349
know that we have , uh , maybe 1010

27:16.349 --> 27:18.516
milliseconds per sarca , right ? And ,

27:18.516 --> 27:20.627
and then , and then we have 10 sarcas

27:20.627 --> 27:22.738
that people can do in those , uh , in

27:22.738 --> 27:25.010
that time . Uh , if you ask somebody to

27:25.010 --> 27:27.232
look for a mailbox , they're gonna look

27:27.232 --> 27:29.399
on the street , then I'm gonna look on

27:29.399 --> 27:31.621
the top of the building . So that's why

27:31.621 --> 27:31.569
they miss it most of the time . Is that

27:31.569 --> 27:33.513
the , is that the correct approach

27:33.513 --> 27:35.513
where the biology comes in place as

27:35.513 --> 27:38.459
embodiment , over ? No , humans are

27:38.459 --> 27:40.130
very slow . It takes like 200

27:40.130 --> 27:42.579
milliseconds , so they have to take in

27:42.579 --> 27:45.300
the scene . Yeah , yeah , it's not like

27:45.300 --> 27:47.780
even better , thanks , yeah .

27:48.750 --> 27:49.349
Glenn

27:52.949 --> 27:55.469
Uh , question , is an American Qua

27:55.469 --> 27:57.619
different from a Chinese Quala ?

27:59.430 --> 28:02.349
Yeah , it is absolutely true

28:02.640 --> 28:05.520
that that your world model is based

28:05.520 --> 28:07.880
upon , it is updated dynamically . It's

28:07.880 --> 28:10.047
not that you , you evolution has given

28:10.047 --> 28:12.213
you a world model . Evolution gave you

28:12.213 --> 28:14.491
the ability to create your world model .

28:14.491 --> 28:16.658
So absolutely , as you're raised , the

28:16.658 --> 28:18.936
cultural impacts you have changes your ,

28:18.936 --> 28:20.991
your , the way you create your world

28:20.991 --> 28:23.158
model . So absolutely people raised in

28:23.158 --> 28:25.324
different cultures will have different

28:25.324 --> 28:28.699
world models . True . Igor . Uh , uh ,

28:28.770 --> 28:30.810
soup . Do you believe that the

28:30.810 --> 28:33.030
existence of koala is a necessary ,

28:33.140 --> 28:37.099
necessary factor for achieving general

28:37.099 --> 28:39.579
consciousness or artificial general

28:39.579 --> 28:42.449
intelligence ? Uh , from , uh ,

28:42.930 --> 28:45.170
information theory , I understand that

28:45.170 --> 28:47.880
we need to , uh , compress all this

28:47.880 --> 28:50.800
knowledge and uh put it together , uh ,

28:50.810 --> 28:54.400
in one , easy to process units ,

28:54.689 --> 28:57.369
but , uh , do , uh , do you believe

28:57.369 --> 29:00.569
it's necessary for artificial general

29:00.569 --> 29:03.810
intelligence and , uh , can we do it

29:03.810 --> 29:05.650
different way and still achieve

29:05.650 --> 29:08.569
consciousness or . It's a good question .

29:08.680 --> 29:10.680
Go up one slide , the slide we were

29:10.680 --> 29:12.680
just at there on the bottom in that

29:12.680 --> 29:14.839
Carolina blue , you'll see that I'm

29:14.839 --> 29:16.950
suggesting to you we can't get to AGI

29:16.950 --> 29:19.800
without this idea , and I , and whether

29:19.800 --> 29:22.000
I'm right or that is one thing , but

29:22.000 --> 29:24.000
I'm telling you absolutely we can't

29:24.000 --> 29:26.056
have no hope for alignment unless we

29:26.056 --> 29:28.167
crack this nut , unless we figure out

29:28.167 --> 29:30.333
how people , you know , think how they

29:30.333 --> 29:32.500
actually do sense making , we'll never

29:32.500 --> 29:34.667
be able to align AI . Even if it isn't

29:34.667 --> 29:37.469
based on quest ideas to humans . So in

29:37.469 --> 29:39.747
either case , in the short and midterm ,

29:39.747 --> 29:41.858
we as the Department of the Air Force

29:41.858 --> 29:44.025
are focused on human machine teaming ,

29:44.025 --> 29:46.191
and I suggest we can't get to where we

29:46.191 --> 29:48.247
need to get to without cracking this

29:48.247 --> 29:50.191
nut of how people form their world

29:50.191 --> 29:52.302
models , how they update them , etc .

29:52.302 --> 29:54.469
Now I personally , now to to really go

29:54.469 --> 29:56.802
way out on a small limb with you , Igor ,

29:56.802 --> 29:58.969
I am absolutely committed that this is

29:58.969 --> 30:01.790
the way forward to get to AGI . All

30:01.790 --> 30:05.349
right , let's go down a slide . So in

30:05.349 --> 30:07.405
Pedro Dominguez's book when he talks

30:07.405 --> 30:09.571
about knowledge , he suggests just the

30:09.571 --> 30:11.849
three things on the left on this slide .

30:11.849 --> 30:13.960
There's 3 ways nature has figured out

30:13.960 --> 30:16.071
how to put knowledge into a critter .

30:16.071 --> 30:18.293
One is you put it in their DNA , and so

30:18.293 --> 30:20.405
at evolution , you know , you sort of

30:20.405 --> 30:22.627
captured all the best practices and you

30:22.627 --> 30:22.380
provide the critter that when they're

30:22.380 --> 30:24.324
born . And the second thing is you

30:24.324 --> 30:26.436
might make a critter that is a little

30:26.436 --> 30:28.491
more sophisticated and based upon it

30:28.491 --> 30:30.491
interacting with the world , it can

30:30.491 --> 30:32.602
pick up knowledge and then store that

30:32.602 --> 30:34.769
away for subsequent use . And then the

30:34.769 --> 30:36.713
third way he talks about is if the

30:36.713 --> 30:38.824
critter is , is so sophisticated , it

30:38.824 --> 30:40.880
can interact with other critters and

30:40.880 --> 30:42.880
via culture get knowledge from that

30:42.880 --> 30:44.936
other critter's experiences . And so

30:44.936 --> 30:44.750
those are the three ways nature has

30:44.750 --> 30:47.150
figured out on how to do knowledge . OK ,

30:47.310 --> 30:50.810
creation , and , and , um , the

30:50.810 --> 30:52.810
experience thing , there's a little

30:52.810 --> 30:54.921
thing there in red , which is hard to

30:54.921 --> 30:56.921
read . I think , you know , there ,

30:56.921 --> 30:56.910
Pedro was talking about interacting

30:56.910 --> 30:58.910
with the environment . I include in

30:58.910 --> 31:00.854
that experience word there , and I

31:00.854 --> 31:03.188
apologize for that because I keep using .

31:03.188 --> 31:05.021
The experience word with respect

31:05.021 --> 31:07.243
toqualia that what it is like for you ,

31:07.243 --> 31:09.188
but these experiences are events ,

31:09.188 --> 31:08.699
things that you're interacting with the

31:08.699 --> 31:11.699
world in , but also there's experiences

31:11.699 --> 31:13.643
that you have by by reasoning , by

31:13.643 --> 31:15.810
manipulating your internal knowledge .

31:15.810 --> 31:18.032
Those are experiences . So that sort of

31:18.032 --> 31:20.032
comes in that second category . But

31:20.032 --> 31:21.755
what Jan and , and some of our

31:21.755 --> 31:23.866
colleagues will tell you is from this

31:23.866 --> 31:23.630
point forward on the Earth , most of

31:23.630 --> 31:25.463
the knowledge will be created by

31:25.463 --> 31:27.630
machines and , and that's because they

31:27.630 --> 31:29.852
can just keep manipulating the existing

31:29.852 --> 31:31.908
knowledge and create new knowledge .

31:31.908 --> 31:34.019
You can argue about the usefulness or

31:34.019 --> 31:36.241
not , whether humans can make sense out

31:36.241 --> 31:38.297
of it or not , whether it will evoke

31:38.297 --> 31:40.241
into us things we want to . That ,

31:40.241 --> 31:42.463
that's a different challenge , but it's

31:42.463 --> 31:44.574
absolutely true . It will be creating

31:44.574 --> 31:46.630
lots of stuff . So if you keep going

31:46.630 --> 31:48.741
left to right on this diagram , where

31:48.741 --> 31:50.686
we're really headed is this can we

31:50.686 --> 31:52.686
create a knowledge of machines that

31:52.686 --> 31:54.963
humans can use both in teaming and not ,

31:54.963 --> 31:57.186
and then , then you , so you have human

31:57.186 --> 31:59.019
machine culture and then machine

31:59.019 --> 32:01.074
machine culture , you know , machine

32:01.074 --> 32:00.689
machines that weren't designed to work

32:00.689 --> 32:02.522
together , can they in fact give

32:02.522 --> 32:04.578
knowledge to each other ? So I think

32:04.578 --> 32:06.633
this is sort of the trajectory we're

32:06.633 --> 32:08.839
all on . Go ahead , rockstar . Yes , I

32:08.839 --> 32:11.640
will respond with this thought

32:11.640 --> 32:13.680
throughout this year with the whole

32:13.680 --> 32:17.329
team . But just to see this

32:17.329 --> 32:21.229
idea . The idea of critics to

32:21.229 --> 32:25.170
determine the value of different uh

32:25.310 --> 32:28.839
arbitrary topologies of coa

32:29.670 --> 32:33.589
inside the machine is important . How

32:33.589 --> 32:36.819
do the critics decide what is a good

32:37.189 --> 32:40.910
connection of uh subcomponents of

32:40.910 --> 32:44.339
knowledge for a given moment in time

32:44.339 --> 32:44.829
over .

32:49.359 --> 32:51.637
All right , let's go to the next slide .

32:52.130 --> 32:54.449
So over the years , over these last

32:54.449 --> 32:57.050
couple of decades , we , we keep , you

32:57.050 --> 32:58.828
know , um , in the , you know ,

32:58.930 --> 33:01.152
reviewing literature and coming up with

33:01.152 --> 33:03.374
examples of experiences people havequaa

33:03.374 --> 33:05.486
that are evoked in people as a result

33:05.486 --> 33:07.652
of different stimuli . And , and by us

33:07.652 --> 33:09.930
capturing the characteristics of those ,

33:09.930 --> 33:12.152
we've , we've captured a whole bunch of

33:12.152 --> 33:15.170
them into a long list , and it isn't in

33:15.170 --> 33:17.329
this quick pass version , but in the

33:17.329 --> 33:19.551
more extended version we can go through

33:19.551 --> 33:21.773
next week , we've pulled those together

33:21.773 --> 33:23.829
in these categories and we call this

33:23.829 --> 33:25.829
sort of our theory of Quaglia . And

33:25.829 --> 33:27.773
what it is is , is we've , we've ,

33:27.773 --> 33:29.940
we've suggested that that Qua in terms

33:29.940 --> 33:32.420
of representations are simulated , um ,

33:32.630 --> 33:35.979
there , there , there is a There is a

33:35.979 --> 33:38.760
discernible confabulation aspect to the

33:38.760 --> 33:40.927
to what you're experiencing . It's not

33:40.927 --> 33:42.982
reality . There's a simulation , but

33:42.982 --> 33:45.093
it's , it is captures some aspects of

33:45.093 --> 33:46.816
reality in the sense that it's

33:46.816 --> 33:49.310
structurally coherent . And it's

33:49.310 --> 33:52.469
situated that is . Every quality is

33:52.469 --> 33:54.680
only you can only define it by its

33:54.680 --> 33:56.736
relationship and how it can interact

33:56.736 --> 33:58.847
with other Qua , and it's all made up

33:58.847 --> 34:01.013
of this , the vocabulary , which we'll

34:01.013 --> 34:03.069
call the Qua vocabulary . So this is

34:03.069 --> 34:05.420
our S3Q theory of Qua , situated ,

34:05.430 --> 34:07.869
simulated , structurally coherent set

34:07.869 --> 34:09.813
of vocabulary elements which we're

34:09.813 --> 34:12.036
going to call aqualia , and we're going

34:12.036 --> 34:11.870
to work our way through each of these

34:11.870 --> 34:14.429
pieces . Go to the next slide . I was

34:14.429 --> 34:16.540
going to say , in the mailbox example

34:16.540 --> 34:18.707
is situatedness , the problem . Yeah ,

34:18.719 --> 34:20.830
yeah , so you , you'll see it when we

34:20.830 --> 34:23.052
get to the situated piece . What you do

34:23.052 --> 34:24.941
is you store knowledge based upon

34:24.941 --> 34:27.219
relationships and so therefore mailbox ,

34:27.219 --> 34:29.275
it's sort of like seeing that person

34:29.275 --> 34:31.275
who's your butcher on the bus . You

34:31.275 --> 34:31.159
don't recognize them , you know , you

34:31.159 --> 34:33.679
don't have the all the links . Now ,

34:33.719 --> 34:35.663
there's a real advantage when that

34:35.663 --> 34:37.552
happens , by the way , because it

34:37.552 --> 34:39.719
allows you to efficiently search . You

34:39.719 --> 34:41.830
know , if I'm in the butcher shop , I

34:41.830 --> 34:43.830
see these people there . Go ahead ,

34:43.830 --> 34:45.386
ain't you Mike . What about

34:45.386 --> 34:48.060
recreational drug use ? Are you saying

34:48.060 --> 34:50.116
that those are not quality , and I'm

34:50.116 --> 34:52.004
not sure they would meet all your

34:52.004 --> 34:54.509
criteria . No , yeah , absolutely . I

34:54.509 --> 34:56.731
don't care if it's artificially induced

34:56.731 --> 34:58.898
or not . It doesn't matter . Those are

34:58.898 --> 35:00.787
quality that are being informed .

35:00.787 --> 35:00.589
You're only arguing about what evoked

35:00.589 --> 35:02.756
them . So , you know , I don't care if

35:02.756 --> 35:04.645
you're , I don't care if you're a

35:04.645 --> 35:06.811
habitual drug user . Those are , those

35:06.811 --> 35:08.978
are quality your mind is generating as

35:08.978 --> 35:10.922
a result of whatever your internal

35:10.922 --> 35:13.256
manipulation , your chemical inducement ,

35:13.256 --> 35:15.478
or , you know , uh , sensory data . And

35:15.478 --> 35:17.367
they meet your criteria for Qua .

35:17.820 --> 35:19.820
Absolutely . They may be completely

35:19.820 --> 35:21.709
unique . They may be there may be

35:21.709 --> 35:23.931
quality that you can evoke in your mind

35:23.979 --> 35:25.868
that , that , that as a result of

35:25.868 --> 35:28.179
chemical , uh , you know , involvement

35:28.379 --> 35:30.379
that you cannot do without that . I

35:30.379 --> 35:32.490
don't doubt that at all . All right ,

35:32.490 --> 35:35.620
thanks . Sure . I am not condoning , by

35:35.620 --> 35:39.260
the way , if you ever ask . So , so

35:39.260 --> 35:41.538
here's the idea of the cue , the , the ,

35:41.538 --> 35:43.760
you know , that there's this vocabulary

35:43.760 --> 35:45.871
of thought . And over the years we've

35:45.871 --> 35:47.871
actually on many occasions tried to

35:47.871 --> 35:49.982
hone down on how many of these do you

35:49.982 --> 35:49.909
need , you know , what , what , what is ,

35:50.229 --> 35:52.396
what is your cu vocabulary ? How , how

35:52.396 --> 35:54.562
big is it ? And it's changing , by the

35:54.562 --> 35:56.673
way . You know , you regularly , uh ,

35:56.673 --> 35:59.007
you know , we'll get back to that . You ,

35:59.007 --> 36:01.285
you regularly create new call you , uh ,

36:01.285 --> 36:03.507
as you , uh , as you sort of grow , but

36:03.507 --> 36:05.840
as you get older like me , I think that ,

36:05.840 --> 36:08.007
that sort of , that ability . has been

36:08.007 --> 36:07.879
reduced , but this idea that you need

36:07.879 --> 36:11.199
this compressed view of , of this world

36:11.199 --> 36:14.110
model , it forces you to sort of , uh ,

36:14.120 --> 36:16.342
find an abstraction of , of things that

36:16.342 --> 36:18.820
are useful for you . And again , uh ,

36:18.919 --> 36:20.919
it just takes something simple like

36:20.919 --> 36:23.141
discernment of colors . If I change the

36:23.141 --> 36:25.086
you saturation and brightness very

36:25.086 --> 36:26.808
slightly , you might not get a

36:26.808 --> 36:28.919
different quality evoked in you , but

36:28.919 --> 36:31.086
there'll be eventually some noticeable

36:31.086 --> 36:33.197
difference for whatever reason , from

36:33.197 --> 36:32.959
maybe from an evolutionary perspective .

36:33.139 --> 36:35.028
You've been able to , your , your

36:35.028 --> 36:36.917
sensors were able to discern that

36:36.917 --> 36:39.139
difference . It helps somebody sometime

36:39.139 --> 36:40.972
and so therefore , now that is a

36:40.972 --> 36:40.810
discernible difference in quality of

36:40.810 --> 36:42.977
formation for you . But the whole goal

36:42.977 --> 36:45.330
of this vocabulary is , I think what

36:45.330 --> 36:47.274
Jeff Hawkins used to call reliable

36:47.274 --> 36:49.274
predictability . You need to create

36:49.274 --> 36:51.274
this world model that allows you to

36:51.274 --> 36:53.441
anticipate and thus be able to take in

36:53.441 --> 36:55.386
data and , and quickly put it into

36:55.386 --> 36:57.608
context and know what to do , etc . And

36:57.608 --> 36:59.774
so that requires this sort of level of

36:59.774 --> 37:02.219
abstraction . The stable , consistent

37:02.540 --> 37:04.620
world model objective is one that I

37:04.620 --> 37:06.787
don't think we've exploited as much as

37:06.787 --> 37:08.509
we should have in creating the

37:08.509 --> 37:10.787
vocabularies of our current , you know ,

37:10.787 --> 37:10.330
the models that we're creating like in

37:10.330 --> 37:12.441
LLMs . You know , I don't think we've

37:12.441 --> 37:14.774
done , we , we used the wrong objective .

37:14.774 --> 37:16.941
Our objective is reconstruction of the

37:16.941 --> 37:19.108
sequence . The objective really should

37:19.108 --> 37:21.163
be predictability of the meaning and

37:21.163 --> 37:23.274
the sequence of meanings , and that ,

37:23.274 --> 37:25.552
that is a different objective function ,

37:25.552 --> 37:27.774
one of which I think we , we can pursue

37:27.774 --> 37:30.108
aggressively to make this more testable .

37:30.108 --> 37:32.108
OK , go , go to the next slide that

37:32.108 --> 37:34.386
this , this idea of queuing is not new .

37:34.386 --> 37:34.219
I mean , just a week or so ago , we

37:34.219 --> 37:36.441
were talking about , you know , Chomsky

37:36.441 --> 37:38.163
and Newell , uh , both of them

37:38.163 --> 37:40.275
concluded that , you know , this is ,

37:40.275 --> 37:42.441
this is the great breakthrough in , in

37:42.441 --> 37:44.663
their case , they were suggesting , you

37:44.663 --> 37:47.409
know , humanity , but , but You know ,

37:47.489 --> 37:49.711
I would suggest , you know , all nature

37:49.711 --> 37:51.878
figured this out . You know , having a

37:51.878 --> 37:53.969
fixed representation is really

37:53.969 --> 37:56.191
difficult to handle everything that you

37:56.191 --> 37:58.469
can , you could possibly be faced with .

37:58.469 --> 38:00.302
So you need this ability to take

38:00.302 --> 38:02.247
existing primitives , combine them

38:02.247 --> 38:04.358
together to make new primitives , and

38:04.358 --> 38:06.413
then not destroy the old ones . They

38:06.413 --> 38:08.580
may still be useful , but eventually ,

38:08.580 --> 38:10.802
you know , you don't use them as much .

38:10.802 --> 38:10.459
Maybe they , maybe they are quote

38:10.459 --> 38:13.129
forgotten . But this idea of this

38:13.129 --> 38:15.429
movement towards this compression , the

38:15.429 --> 38:17.540
tie of compression and intelligence ,

38:17.540 --> 38:19.707
those are not new ideas . They've been

38:19.707 --> 38:22.040
around a long time and , and , you know ,

38:22.040 --> 38:24.207
these , these great minds , you know ,

38:24.207 --> 38:26.429
were , were right there . Uh , let's go

38:26.429 --> 38:28.596
to the next slide . So , so , when you

38:28.596 --> 38:30.651
have the cues , how do you represent

38:30.651 --> 38:30.350
them ? Now , there's , there's lots of

38:30.350 --> 38:32.949
data we have in , in this space , um .

38:34.179 --> 38:36.419
My favorite example of it was , was , I

38:36.419 --> 38:38.530
was actually watching an interview of

38:38.530 --> 38:40.790
that guy on the right , Kim Peek , and

38:40.790 --> 38:42.957
for the older people in the audience ,

38:42.957 --> 38:45.234
if you've ever seen the movie Rain Man ,

38:45.234 --> 38:47.346
it was , it was a patterned after Kim

38:47.346 --> 38:49.457
Peek . And Kim , Kim Peek is a , is a

38:49.457 --> 38:52.219
savant , and he , you know , he , he's

38:52.219 --> 38:54.108
not only a memory savant , he's a

38:54.108 --> 38:56.163
musical savant . And if you , if you

38:56.370 --> 38:58.426
You know , he was playing a piece of

38:58.426 --> 39:00.648
music that somebody just played for him

39:00.648 --> 39:02.870
once and he could immediately replay it

39:02.870 --> 39:02.780
and then they were interviewing him and

39:02.780 --> 39:04.891
as they were interviewing him , I was

39:04.891 --> 39:07.169
watching him and I was just fascinated ,

39:07.169 --> 39:09.113
you know , he was , he was sitting

39:09.113 --> 39:09.000
there talking about the piece of music

39:09.000 --> 39:10.944
and it because it was a , it was a

39:10.944 --> 39:12.944
Beethoven piece , he , he , he , he

39:12.944 --> 39:15.167
said Beethoven and I heard him mumbling

39:15.167 --> 39:17.278
Beethoven , Beethoven , Beethoven's ,

39:17.278 --> 39:17.169
and he mumbled , mumble , and then I

39:17.169 --> 39:19.570
heard him say Edward R . Murrow , and

39:19.570 --> 39:21.459
I'm thinking , what the hell just

39:21.459 --> 39:23.681
happened ? And so this was in DCR day ,

39:23.681 --> 39:25.570
so I backed it up and I played it

39:25.570 --> 39:27.737
slowly , backed and played it slowly ,

39:27.737 --> 39:29.570
and when I listened to him , the

39:29.570 --> 39:31.626
mumbling , he went from Beethoven to

39:31.626 --> 39:34.060
Beethoven's 5th , and he would then as

39:34.060 --> 39:36.171
he said , Beethoven's 5th , and his ,

39:36.171 --> 39:38.338
he said verbally , he said da da da da

39:38.338 --> 39:40.850
da da da da . And when he said that ,

39:40.929 --> 39:43.179
it evoked in him the link of Morse's

39:43.179 --> 39:47.100
code . Did it hold it . Morse

39:47.100 --> 39:49.156
code . What is de da in Morse code ?

39:49.156 --> 39:52.379
That is B V V V is tied to V for

39:52.379 --> 39:54.601
victory , and you can hear him mumbling

39:54.601 --> 39:56.768
these things , but he did them so fast

39:56.768 --> 39:58.935
he went from B to victory to World War

39:58.935 --> 40:01.101
II to the Blitz to Edward R . Murrow ,

40:01.101 --> 40:02.935
and he did it in a flash . And I

40:02.935 --> 40:05.046
started thinking to myself , what the

40:05.046 --> 40:07.268
heck just happened ? And is this just ,

40:07.268 --> 40:09.490
uh , is this a savant thing , or are we

40:09.490 --> 40:11.657
all doing this ? And , and then , uh ,

40:11.657 --> 40:11.610
you know , one of our early , you know ,

40:11.750 --> 40:13.830
quest , uh , you know , people , you

40:13.830 --> 40:15.941
know , we started talking about ideas

40:15.941 --> 40:17.997
that pop into your head , you know ,

40:17.997 --> 40:19.886
where do they come from ? I don't

40:19.886 --> 40:19.360
believe in magic . Where the hell did

40:19.360 --> 40:21.471
they come from ? And what , so what I

40:21.471 --> 40:23.638
forced people to do , and I'm going to

40:23.638 --> 40:25.749
give you all homework , is there will

40:25.749 --> 40:27.916
be something that happens to you today

40:27.916 --> 40:27.830
that that later you're going to try to

40:27.830 --> 40:30.052
remember to tell somebody . And you may

40:30.052 --> 40:32.219
or may not remember that you wanted to

40:32.219 --> 40:34.386
tell them , but if you , when you do ,

40:34.386 --> 40:36.441
when it pops into your mind that you

40:36.441 --> 40:38.663
wanted to tell them , stop , don't tell

40:38.663 --> 40:40.830
them , and think about all the sensory

40:40.830 --> 40:42.997
data you're getting and what evoked in

40:42.997 --> 40:45.108
you the links back to that thing that

40:45.108 --> 40:47.386
you're trying to tell them . And again ,

40:47.386 --> 40:47.129
in the longer version of this lecture ,

40:47.139 --> 40:49.689
I get some examples of of our previous

40:49.689 --> 40:51.689
quest people doing that thing . I'm

40:51.689 --> 40:53.800
telling you that this idea of quality

40:53.800 --> 40:56.379
experiences all tied to links . This

40:56.379 --> 40:58.546
linking allows us a really interesting

40:58.546 --> 41:01.330
way to access relevant information .

41:01.540 --> 41:03.762
You might argue in this case a bunch of

41:03.762 --> 41:05.929
irrelevant information . And so how do

41:05.929 --> 41:08.096
you prune that space ? That's a really

41:08.096 --> 41:10.262
interesting question . But this is the

41:10.262 --> 41:10.219
idea I want you to think of when I say

41:10.219 --> 41:13.260
situated . The Qua are situated . They

41:13.260 --> 41:15.427
have value with respect to how they're

41:15.427 --> 41:17.538
related to other Qua and how they can

41:17.538 --> 41:19.538
interact with them . Go to the next

41:19.538 --> 41:21.340
slide . Go ahead , Rockstar .

41:23.709 --> 41:27.580
I just quickly . I sometimes think

41:27.580 --> 41:31.530
of this as with the Beethoven example .

41:32.290 --> 41:36.219
As a chance to understand value

41:36.530 --> 41:39.679
brought to the table by the agents

41:39.929 --> 41:43.760
slash critics that attenuated

41:44.010 --> 41:47.459
to the simpler parts of

41:47.459 --> 41:50.409
coa that represent what's in the world

41:50.409 --> 41:54.389
of that individual , or we'll

41:54.389 --> 41:58.120
get to that machine by a computer

41:58.479 --> 42:01.620
that Builds these different building

42:01.620 --> 42:05.169
blocks of knowledge in a uh various

42:05.510 --> 42:08.530
partial ordering type of way over .

42:09.489 --> 42:11.840
Copy . So the second S is for

42:11.840 --> 42:14.149
simulation and , and , you know , in

42:14.149 --> 42:15.982
these days where we have so many

42:15.982 --> 42:18.038
virtual worlds , I mean , you know ,

42:18.038 --> 42:20.149
all my grandkids that were around for

42:20.149 --> 42:22.371
the holidays , they're all , you know ,

42:22.371 --> 42:24.593
in these VR goggles and , you know , so

42:24.593 --> 42:26.816
when I say simulation to them , they're

42:26.816 --> 42:25.949
all in . They understand look left ,

42:25.989 --> 42:28.156
you see what's left , you know , the ,

42:28.156 --> 42:30.045
the , the point on the simulation

42:30.045 --> 42:32.045
tenant is what you're perceiving in

42:32.045 --> 42:34.211
your quality of space is not reality .

42:34.211 --> 42:36.378
It's created for you , um . You know ,

42:36.459 --> 42:38.626
it , it , you know , a , a phrase that

42:38.626 --> 42:40.737
we have in the longer version of this

42:40.737 --> 42:42.959
lecture is , you see what you believe .

42:42.959 --> 42:45.181
It's not you believe what you see . You

42:45.181 --> 42:45.050
create in the visual quality , um ,

42:45.379 --> 42:47.601
information that's consistent with what

42:47.601 --> 42:49.379
you think is there , and you'll

42:49.379 --> 42:51.435
convince yourself of that , uh , but

42:51.435 --> 42:53.435
it's not reality . Uh , it goes way

42:53.435 --> 42:55.546
beyond what you're . And just a piece

42:55.546 --> 42:54.895
of homework for you if you go to the

42:54.895 --> 42:57.173
next slide . If you've never done this ,

42:57.173 --> 42:59.284
this is a great thing to do with kids

42:59.284 --> 43:01.228
and grandkids , is show them their

43:01.228 --> 43:03.451
blind spot . And if you don't know what

43:03.451 --> 43:03.254
I'm talking about there , just go look

43:03.254 --> 43:05.254
it up on the internet . But you get

43:05.254 --> 43:07.365
when you get a kid to see their blind

43:07.365 --> 43:09.587
spot , and they say , man , oh man , if

43:09.587 --> 43:11.587
I do that right , then . The finger

43:11.587 --> 43:13.587
disappears . It blows their mind is

43:13.587 --> 43:15.532
that because you , you've got this

43:15.532 --> 43:15.520
illusion , even when you close one eye

43:15.520 --> 43:17.576
that you're seeing the whole world ,

43:17.576 --> 43:19.631
you don't realize there is in fact a

43:19.631 --> 43:21.909
blind spot there , which is where that ,

43:21.909 --> 43:21.760
you know , the optic nerve goes out of

43:21.760 --> 43:23.816
the back of the retina . Um , so the

43:23.816 --> 43:26.093
point is , is that you , you , in fact ,

43:26.159 --> 43:28.270
fill in , when people say do you fill

43:28.270 --> 43:30.381
in your blind spot , I would continue

43:30.381 --> 43:32.715
to fill in the entire visual field . It ,

43:32.715 --> 43:34.826
it's all filled in , it's all in fact

43:34.826 --> 43:36.992
confabulate . And that's so that's the

43:36.992 --> 43:38.826
2nd S . You're situated , you're

43:38.826 --> 43:40.881
simulated . Go to the next slide and

43:40.881 --> 43:42.937
we'll get the 3rds . Which is you're

43:42.937 --> 43:44.937
structurally coherent . And again ,

43:44.937 --> 43:47.159
what I mean by that is , you know , I ,

43:47.159 --> 43:46.780
I just told you , you're making up this

43:46.780 --> 43:48.669
visual scene , but there's enough

43:48.669 --> 43:50.891
reality to it that when I reach over to

43:50.891 --> 43:53.058
grab this bottle of caffeine here , it

43:53.058 --> 43:55.280
is there and I can grab it . I can take

43:55.280 --> 43:57.502
a drink , OK ? So there is , there is a

43:57.502 --> 44:00.060
coherence required for this information

44:00.060 --> 44:01.893
that you're representing in your

44:01.893 --> 44:04.116
quality stream because it's going to go

44:04.116 --> 44:06.282
into your world model . So you have to

44:06.282 --> 44:08.449
have that coherence associated with it

44:08.449 --> 44:10.449
and , and As , as Rod Brooks always

44:10.449 --> 44:12.671
taught us , you know , the world is its

44:12.671 --> 44:14.782
own best representation . Interacting

44:14.782 --> 44:16.893
with the world is a great way to make

44:16.893 --> 44:19.004
sure you've honed your representation

44:19.004 --> 44:21.116
into a , a useful , useful form . And

44:21.116 --> 44:23.227
so that's a structural coherence . If

44:23.227 --> 44:25.338
we go one more slide . Another aspect

44:25.338 --> 44:27.560
of structural coherence is , although I

44:27.560 --> 44:29.727
cannot , you know , call you is spooky

44:29.727 --> 44:29.540
in the sense that you're , you're

44:29.540 --> 44:32.050
experiencing your Qua , I could measure

44:32.050 --> 44:34.272
everything associated with what's going

44:34.272 --> 44:36.050
on in your physiology , in your

44:36.050 --> 44:38.161
neurophysiology , and I don't think I

44:38.161 --> 44:37.750
would experience what you're

44:37.750 --> 44:40.550
experiencing , but I do believe there's

44:40.550 --> 44:42.989
a way I can get at aspects of your

44:42.989 --> 44:45.429
representation by relationships . And

44:45.429 --> 44:47.429
so my favorite example of that is a

44:47.429 --> 44:49.596
color wheel . If you have quote normal

44:49.596 --> 44:51.762
color vision . And you take two colors

44:51.762 --> 44:53.762
which are adjacent to each other on

44:53.762 --> 44:55.985
this color wheel , they look similar to

44:55.985 --> 44:58.096
you , at least more similar than ones

44:58.096 --> 44:58.050
that are on the other part of the

44:58.050 --> 45:00.217
collar wheel , OK ? So I think there's

45:00.217 --> 45:02.770
ways we can get at your personal qua by

45:02.770 --> 45:04.937
looking at relationships that , that ,

45:04.937 --> 45:06.992
that might be critical . All right ,

45:06.992 --> 45:08.992
let's go to the next slide . So now

45:08.992 --> 45:11.340
we've got these ideas of You've created

45:11.340 --> 45:14.149
this thisquaa consistent representation

45:14.149 --> 45:16.316
which we're calling in a world model .

45:16.316 --> 45:18.482
What do we do with that as AI people ?

45:18.482 --> 45:20.538
What do we do with that ? And so you

45:20.538 --> 45:22.482
just look historically in AI where

45:22.482 --> 45:24.482
we've been and you know , the , you

45:24.482 --> 45:26.705
know , the , the , the rock stars , and

45:26.705 --> 45:28.760
I have been around a long time . You

45:28.760 --> 45:30.871
know , we started out by writing very

45:30.871 --> 45:32.760
complicated programs because we ,

45:32.760 --> 45:34.982
because we're arrogant , we're computer

45:34.982 --> 45:37.205
people , we're all arrogant , and so we

45:37.205 --> 45:36.560
assume we understand everything , we

45:36.560 --> 45:38.729
just write it into code . And so , you

45:38.729 --> 45:40.899
know , there's there , this first wave

45:40.899 --> 45:42.899
of AI was sort of dominated by this

45:42.899 --> 45:45.659
idea of handcrafted knowledge , you

45:45.659 --> 45:48.770
know , uh , I spent many , many a day

45:49.020 --> 45:50.853
out here on base doing knowledge

45:50.853 --> 45:52.742
engineering where I would talk to

45:52.742 --> 45:54.964
people who are doing a job and I try to

45:54.964 --> 45:57.187
encode in , in a production system what

45:57.187 --> 45:59.298
they're doing and then be able to use

45:59.298 --> 46:01.353
those rules to , to help , help , uh

46:01.353 --> 46:03.576
help them do , do the job or do the job

46:03.576 --> 46:05.798
in lieu of them . And then in the 80s ,

46:05.798 --> 46:07.853
we had this sort of Machine learning

46:07.853 --> 46:10.076
revolution piece and we started doing ,

46:10.076 --> 46:12.020
hey , let's instead of complicated

46:12.020 --> 46:14.187
algorithms , let's hand craft the data

46:14.187 --> 46:16.409
instead of handcrafting the knowledge .

46:16.409 --> 46:18.353
And so if we have a representation

46:18.353 --> 46:18.070
approach , it could be we could extract

46:18.070 --> 46:20.126
from the data and we're still riding

46:20.126 --> 46:22.292
that second wave , you know , I mean ,

46:22.292 --> 46:24.348
around 2010 when we had the big deep

46:24.348 --> 46:26.626
learning breakthrough , etc . you know ,

46:26.626 --> 46:28.848
we're , we're , we're doing really cool

46:28.848 --> 46:28.590
stuff with that . But there's a bunch

46:28.590 --> 46:30.590
of things which we are running into

46:30.590 --> 46:33.135
walls on that know we have to solve and

46:33.135 --> 46:35.191
so people like to talk about the 3rd

46:35.191 --> 46:37.413
wave and what that will look like , you

46:37.413 --> 46:39.468
know , what will it would consist of

46:39.468 --> 46:41.468
and I don't want to bog down on the

46:41.468 --> 46:41.395
details of the 3rd wave that I've

46:41.395 --> 46:43.764
written there because Burt , El Burt ,

46:43.834 --> 46:45.834
one of our colleagues , is going to

46:45.834 --> 46:47.834
help me in before next Friday we're

46:47.834 --> 46:49.612
going to update that third wave

46:49.612 --> 46:51.667
characteristics which we think we're

46:51.667 --> 46:51.264
missing , but I wanted to hit a couple

46:51.264 --> 46:53.486
of them today because I don't think the

46:53.486 --> 46:55.597
lecture is complete without them . So

46:55.597 --> 46:55.485
if you go to the next slide , you know ,

46:55.514 --> 46:57.800
one of the particular areas which I'm

46:57.800 --> 46:59.800
finding particularly interesting is

46:59.800 --> 47:01.911
this idea of interesting , you know ,

47:01.911 --> 47:03.967
the , the Ken Stanley idea of , it's

47:03.967 --> 47:06.022
easy , you know , virtually every AI

47:06.022 --> 47:08.133
system we're doing today is trying to

47:08.133 --> 47:10.244
figure out a way to capture or create

47:10.244 --> 47:12.709
human . Human curated knowledge , you

47:12.709 --> 47:14.876
know , how do I capture if you tell me

47:14.876 --> 47:16.987
this is a truck and that's a Jeep and

47:16.987 --> 47:18.765
that's a kitty cat and that's a

47:18.765 --> 47:18.419
Dalmatian and there's a golden

47:18.419 --> 47:20.141
retriever , how do I take that

47:20.141 --> 47:22.252
knowledge and represent it versus how

47:22.252 --> 47:24.141
do you create new knowledge ? Now

47:24.141 --> 47:26.363
there's a bunch of work in the , in the

47:26.363 --> 47:28.252
event that Rockstar held for us a

47:28.252 --> 47:30.475
little over a year ago . Where we got a

47:30.475 --> 47:32.530
bunch of thinkers together to say AI

47:32.530 --> 47:34.697
for humanity in 2050 . There was a lot

47:34.697 --> 47:34.604
of people talking about the AI

47:34.604 --> 47:36.826
scientists , you know , how do we , how

47:36.826 --> 47:38.882
do we automate that process ? I find

47:38.882 --> 47:41.160
that really fascinating pieces of work ,

47:41.160 --> 47:43.160
but I think what what it's going to

47:43.160 --> 47:45.160
require is it's , it requires us to

47:45.160 --> 47:46.937
come up with this definition of

47:46.937 --> 47:48.993
interestingness . You know , it , it

47:48.993 --> 47:50.771
right now we are really good at

47:50.771 --> 47:50.540
generating things that are different

47:50.729 --> 47:52.951
than things we've done before , but how

47:52.951 --> 47:55.118
do you know that they're interesting ?

47:55.118 --> 47:57.285
And I've hit my act 3 people with this

47:57.285 --> 47:59.229
multiple times because I need them

47:59.229 --> 48:01.451
doing research , but how do we quantify

48:01.451 --> 48:03.729
the value of their research , you know ,

48:03.729 --> 48:05.840
and it , it basically comes down to I

48:05.840 --> 48:07.785
tell them do things that they find

48:07.785 --> 48:09.896
interesting . Let's figure out how to

48:09.896 --> 48:11.896
capture them and in the Ken Stanley

48:11.896 --> 48:13.840
sense , how we , how we will build

48:13.840 --> 48:15.785
stepping stones that when somebody

48:15.785 --> 48:18.007
comes to us with a new problem , we can

48:18.007 --> 48:17.729
use those stepping stones to get where

48:17.729 --> 48:19.959
we're after . And so this idea , I

48:19.959 --> 48:22.679
think , is that that if I come up with

48:22.679 --> 48:25.439
an idea which allows me to situate this

48:25.439 --> 48:27.606
new piece of knowledge with respect to

48:27.606 --> 48:29.495
other pieces of knowledge , if it

48:29.495 --> 48:31.550
allows me to simulate some aspect of

48:31.550 --> 48:31.389
the environment which I couldn't

48:31.389 --> 48:33.639
simulate before , they become very

48:33.639 --> 48:35.806
interesting . Now , I think Igor , you

48:35.806 --> 48:37.806
got a question . Uh , yes , I would

48:37.806 --> 48:39.972
like to ask you about Dark side of the

48:39.972 --> 48:43.120
caller . Uh , I , I understand it's

48:43.120 --> 48:45.689
extremely valuable for human-computer

48:45.689 --> 48:48.820
interaction , but it brings the burden

48:49.000 --> 48:52.639
of , uh , uh , human thinking such as

48:52.639 --> 48:54.800
jumping to conclusion , prejudice ,

48:54.850 --> 48:56.719
misconceptions , delusions ,

48:56.800 --> 49:00.070
hallucinations , finally fake realities ,

49:00.760 --> 49:04.389
and so on . So , uh . By

49:04.389 --> 49:07.800
developing AI qualities we actually

49:07.800 --> 49:11.520
would uh develop all these uh

49:11.520 --> 49:14.669
scenes too . Oh yeah , and I , and I

49:14.669 --> 49:16.502
think , I think the key to those

49:16.502 --> 49:19.580
abilities we have is this quality-based

49:19.580 --> 49:21.691
representation . The fact that we can

49:21.691 --> 49:23.747
follow those links and suggest , you

49:23.747 --> 49:25.858
know , hey , now this , this is going

49:25.858 --> 49:27.969
to take me down a path that I haven't

49:27.969 --> 49:29.580
been before and it has these

49:29.580 --> 49:31.524
characteristics that might make it

49:31.524 --> 49:33.691
useful . So I , I think that , I think

49:33.691 --> 49:35.858
there's , there is value by projecting

49:35.858 --> 49:37.858
those quote breakthroughs into this

49:37.858 --> 49:40.080
sort of a space . Um , now what Chollet

49:40.080 --> 49:41.913
says , we go to the next slide .

49:41.913 --> 49:43.691
Chollet likes to break this the

49:43.691 --> 49:45.802
problems into how do you do the sense

49:45.802 --> 49:47.913
making and then how do you create the

49:47.913 --> 49:50.136
new vocabulary . Now , if you just look

49:50.136 --> 49:52.247
at the sense making piece , uh , if ,

49:52.247 --> 49:54.191
if we had an objective function to

49:54.191 --> 49:56.302
generate these link representations ,

49:56.302 --> 49:56.199
then that would help us , I think ,

49:56.399 --> 49:58.566
with respect to sense making . Our our

49:58.566 --> 50:00.566
colleague Robert Patterson likes to

50:00.566 --> 50:02.732
talk about , you know , situated , you

50:02.732 --> 50:04.677
know , intuitive cognition , and I

50:04.677 --> 50:06.843
think , I think that that is , that is

50:06.843 --> 50:08.843
absolutely what we're talking about

50:08.843 --> 50:10.732
here . You know , if I ask you my

50:10.732 --> 50:10.252
favorite question is , have you ever

50:10.252 --> 50:12.452
driven a Roy Rolls-Royce ? You don't ,

50:12.613 --> 50:14.446
you don't go through the tree of

50:14.446 --> 50:16.724
checking everything you've ever driven .

50:16.724 --> 50:18.669
You're you're able to very quickly

50:18.669 --> 50:20.891
check those links , don't . Rolls-Royce

50:20.891 --> 50:23.057
and me driving , it doesn't exist . So

50:23.057 --> 50:25.169
that representation is , is , I think

50:25.169 --> 50:27.502
different . And , and this idea of , of ,

50:27.502 --> 50:29.557
of this objective function to create

50:29.557 --> 50:31.557
new vocabulary elements , uh , this

50:31.557 --> 50:33.502
quaization idea , those left three

50:33.502 --> 50:35.613
bubbles , I , I think that's , that's

50:35.613 --> 50:37.724
sort of what we have to do . Now , we

50:37.724 --> 50:39.891
got one more meat slide here I want to

50:39.891 --> 50:39.845
hit because I can't , I can't end this

50:39.845 --> 50:41.789
slide , in this deck , or one more

50:41.789 --> 50:43.456
slide , uh , without saying .

50:44.209 --> 50:47.030
Responsible AI , AI ethics , you know ,

50:47.189 --> 50:49.300
I , this is , this is an area I spend

50:49.300 --> 50:51.578
an enormous amount of bandwidth on and ,

50:51.578 --> 50:53.745
and I don't think I can get to where I

50:53.745 --> 50:56.770
need to get to with B&B doing

50:56.770 --> 50:58.810
validation , verification . I will

50:58.810 --> 51:00.929
never get to where I need to get to

51:00.929 --> 51:03.096
until I can crack the nut of how is it

51:03.096 --> 51:05.250
we represent morals , how do we

51:05.250 --> 51:07.361
represent ethics , you know , what is

51:07.361 --> 51:09.472
that ? Those are , those are feelings

51:09.472 --> 51:11.583
to us , or quality to us , you know ,

51:11.583 --> 51:13.806
how do I do that ? And , and I I just ,

51:13.806 --> 51:15.750
I keep running against the wall of

51:15.750 --> 51:17.806
people saying , Hey , we're going to

51:17.806 --> 51:20.028
let your AI do this or that , and we're

51:20.028 --> 51:19.409
going to put a human on the loop to

51:19.409 --> 51:21.520
decide if it's OK to do it . And that

51:21.520 --> 51:23.353
just drives me crazy for all the

51:23.353 --> 51:25.576
reasons I just spent an hour talking to

51:25.576 --> 51:27.770
you about , because you , you're

51:27.770 --> 51:29.881
creating this representation which is

51:29.881 --> 51:32.340
not reality . And , and , and you're

51:32.340 --> 51:34.562
going to make a decision and you will ,

51:34.562 --> 51:36.673
your decision will be biased based on

51:36.673 --> 51:38.951
all the stuff my AI is throwing at you .

51:38.951 --> 51:40.951
It just , it , I think we're really

51:40.951 --> 51:43.007
going down the wrong path . We think

51:43.007 --> 51:42.780
put humans on the loop is going to

51:42.780 --> 51:44.836
solve this problem . My two favorite

51:44.836 --> 51:48.090
examples are one , recidivism . So ,

51:48.139 --> 51:50.083
you know , you have judges , human

51:50.083 --> 51:52.306
judges who are deciding whether a , a ,

51:52.370 --> 51:54.481
a person should get a parole or not ,

51:54.481 --> 51:56.703
and they look at the data , all right ?

51:56.703 --> 51:58.481
That data has been Massaged and

51:58.481 --> 52:00.648
manipulated by artificial intelligence

52:00.648 --> 52:02.759
algorithms which are trying to decide

52:02.759 --> 52:04.814
the probability of this person going

52:04.814 --> 52:06.981
back to crime . And what you find is ,

52:06.981 --> 52:08.814
is because of the way the AI was

52:08.814 --> 52:10.870
created , it's creating a , a biased

52:10.870 --> 52:12.870
view of , of whether this person is

52:12.870 --> 52:15.037
going to go back to crime or not . And

52:15.037 --> 52:14.600
so there , even though you have a human

52:14.600 --> 52:16.878
on the loop , they're believing the AI ,

52:16.878 --> 52:18.933
you could say it's because the AI is

52:18.933 --> 52:21.044
wrong . I , I think the AI could be ,

52:21.080 --> 52:23.139
you know , perfect , but it's humans

52:23.139 --> 52:25.195
are going to be swayed . And so what

52:25.195 --> 52:27.417
we've got to figure out is how do we do

52:27.417 --> 52:29.583
that human AI teaming better than what

52:29.583 --> 52:31.695
we're currently doing ? That's a real

52:31.695 --> 52:33.861
challenge . My second example is , you

52:33.861 --> 52:35.917
know , I don't know what the Israeli

52:35.917 --> 52:38.139
Defense Force , you know , the sequence

52:38.139 --> 52:40.028
that led to them bombing that aid

52:40.028 --> 52:42.159
convoy of 3 vans , the kitchen aid

52:42.159 --> 52:44.439
convoy , but I'm going to suggest to

52:44.439 --> 52:46.550
you that there was some data analysis

52:46.550 --> 52:48.717
went on there and there was a human in

52:48.717 --> 52:50.828
the loop that made the decision , but

52:50.828 --> 52:52.772
they were swayed because of the AI

52:52.772 --> 52:54.995
saying , Hey , these sequences of stops

52:54.995 --> 52:54.949
with that set of vehicles , that's ,

52:55.000 --> 52:57.167
that's Hamas . I'm going to hit them .

52:57.167 --> 52:59.333
So again , I don't think we put humans

52:59.333 --> 53:01.556
on the loop is going to get me to where

53:01.556 --> 53:03.778
I need to get to . I , right now , what

53:03.778 --> 53:05.889
I , my , my current approach to doing

53:05.889 --> 53:08.379
this is We're using AI to enable us to

53:08.379 --> 53:11.520
do things on behalf of humans , so a

53:11.520 --> 53:13.687
human is delegating bounding authority

53:13.687 --> 53:15.631
for these autonomous systems to do

53:15.631 --> 53:17.798
something on their behalf . So I could

53:17.798 --> 53:19.853
go to that human and say , if you're

53:19.853 --> 53:21.964
going to do that task , what are your

53:21.964 --> 53:24.131
moral and ethical concerns and capture

53:24.131 --> 53:26.242
those . Some of those I can handle in

53:26.242 --> 53:28.187
code . Like don't go over that geo

53:28.187 --> 53:30.409
fence . zero problem with that , OK ? I

53:30.409 --> 53:32.576
can make sure this AI doesn't function

53:32.576 --> 53:34.576
in that part of the space . Easy to

53:34.576 --> 53:36.798
handle . But there'll be others , hey ,

53:36.798 --> 53:38.964
do no collateral damage . That becomes

53:38.964 --> 53:41.187
a little more general . And so now I've

53:41.187 --> 53:40.080
got to figure out , you know , which

53:40.080 --> 53:42.413
ones can I handle , which one can I not .

53:42.413 --> 53:45.429
How do I be a training , get that human

53:45.429 --> 53:47.310
to get that , that world model

53:47.310 --> 53:49.532
appropriately created so they know when

53:49.532 --> 53:51.754
and how much have you will to calibrate

53:51.754 --> 53:53.532
the trust ? Because I need that

53:53.532 --> 53:55.643
appropriate level of human judgment ,

53:55.643 --> 53:57.810
you know , that's the phrase we use in

53:57.810 --> 53:59.977
the DUD directive , which it says when

53:59.977 --> 53:59.669
we can use these things and when we

53:59.669 --> 54:01.810
can't . Now , the last slide , you go

54:01.810 --> 54:04.199
to the last slide . Um , you know ,

54:04.280 --> 54:06.613
here , here's some things that , I mean ,

54:06.613 --> 54:08.669
next week , um , what I give or take

54:08.669 --> 54:10.836
what you guys feedback to , to Nagle ,

54:10.836 --> 54:13.058
um , we can pack in examples around any

54:13.058 --> 54:15.113
of these things that you think are a

54:15.113 --> 54:17.336
little tenuous . of why we landed where

54:17.336 --> 54:19.502
we did , um , as a group , some of the

54:19.502 --> 54:21.558
things I'd like to see this year , I

54:21.558 --> 54:23.613
had this same slide last year and we

54:23.613 --> 54:25.724
did none of them , or maybe I did the

54:25.724 --> 54:27.891
types of quality one , but , but , but

54:27.891 --> 54:30.002
slide , I got to get slider to do the

54:30.002 --> 54:32.169
mathematics requests . Now we did some

54:32.169 --> 54:34.336
really interesting things this year in

54:34.336 --> 54:34.270
terms of manifolds and everything which

54:34.270 --> 54:36.381
are going down that path . Previously

54:36.381 --> 54:38.492
we've done some category theory , but

54:38.492 --> 54:40.492
I'm going to rely on slider pulling

54:40.492 --> 54:42.381
together , you know , some , some

54:42.381 --> 54:44.548
thoughts there , um . And by the way ,

54:44.548 --> 54:46.770
Jason , I'm very familiar with Asimov .

54:46.770 --> 54:48.714
Uh , TJ and I go way back , so I'm

54:48.714 --> 54:50.881
happy to talk to you about that . Um ,

54:50.881 --> 54:53.214
the moonshine , you know , I , you know ,

54:53.214 --> 54:52.629
how do we change the current things

54:52.629 --> 54:54.573
we're doing , you know , the large

54:54.573 --> 54:56.573
pre-trained models , etc . and make

54:56.573 --> 54:58.796
them more quest compliance . And then ,

54:58.796 --> 55:00.796
of course , Nagle , you know , keep

55:00.796 --> 55:02.962
pushing us down the neurophysiology of

55:02.962 --> 55:04.796
Quest , and then , um , expanded

55:04.796 --> 55:06.796
thoughts on this thing . Um , let's

55:06.796 --> 55:08.518
spend 5 minutes on questions .

55:10.449 --> 55:14.399
Anything I missed . This

55:14.399 --> 55:16.566
is both done , and I , I'm , I'm , I'm

55:16.566 --> 55:18.788
sorry I'm jumping in , but I'm , I'm on

55:18.788 --> 55:20.843
a phone because we're out of power .

55:20.843 --> 55:22.955
Can I ask you a quick question , um .

55:22.979 --> 55:26.360
About morals . So , would you say that

55:26.360 --> 55:28.582
in , in a simple vision , morals can be

55:28.582 --> 55:31.280
either driven by fear or by empathy

55:31.280 --> 55:33.580
over ? Yeah ,

55:35.260 --> 55:37.204
that can't be answered trivially ,

55:37.204 --> 55:39.260
Molly . Let me send you some stuff I

55:39.260 --> 55:41.371
have on that , OK ? Um , we've looked

55:41.371 --> 55:43.482
at that in . OK , go ahead , George .

55:43.679 --> 55:46.000
Yeah , so , you know , I , I'm sort of

55:46.000 --> 55:49.429
going back to your uh uh comment

55:49.429 --> 55:52.840
about Chinese world models and American

55:52.840 --> 55:54.896
world models and so on . So I'm just

55:54.896 --> 55:57.479
gonna make an assertion that uh like

55:57.479 --> 55:59.423
basic training , which I didn't go

55:59.423 --> 56:01.423
through , but some of the people on

56:01.423 --> 56:05.040
this call did , is uh is part of that

56:05.040 --> 56:08.919
to create a common world model among .

56:09.629 --> 56:12.350
You know , infantry or sailors or

56:12.719 --> 56:16.080
airmen in your case , um , so that they

56:16.080 --> 56:18.580
can work effectively as a team . So you ,

56:18.679 --> 56:20.623
you want , you don't want all this

56:20.623 --> 56:22.879
creativity and random interpretation of

56:22.879 --> 56:25.239
what the world is when , when you're in

56:25.239 --> 56:28.520
the military , it seems . So , I'm , I

56:28.520 --> 56:30.853
just made that assertion if that's true .

56:30.959 --> 56:34.639
Um , now , as we move into man machine

56:34.639 --> 56:38.459
teaming , Can , do you have

56:38.459 --> 56:40.790
some advice to people who are gonna be

56:40.790 --> 56:44.530
training future airmen , sailors ,

56:44.620 --> 56:48.010
infantry uh about how to build

56:48.379 --> 56:51.020
common world models with machines . So

56:51.020 --> 56:53.242
we're gonna start using machines more .

56:54.320 --> 56:57.629
Is it too early to start or what would

56:57.629 --> 56:59.796
you do ? What's your recommendation on

56:59.796 --> 57:02.590
that ? So a former colleague of ours ,

57:02.679 --> 57:04.949
Dave Woods of Ohio State , convinced me

57:04.949 --> 57:08.010
some time ago . We spent some time

57:08.010 --> 57:10.209
looking at failures we've had in

57:10.209 --> 57:13.330
fielding AI in different domains , and

57:13.330 --> 57:15.552
we concluded that , you know , that the

57:15.552 --> 57:17.719
human , because exactly the reason you

57:17.719 --> 57:20.449
say it has no common representation to

57:20.449 --> 57:23.330
the AI solutions and , and therefore

57:23.330 --> 57:24.997
they have a real problem with

57:24.997 --> 57:26.997
interpredictability knowing when it

57:26.997 --> 57:29.163
does this and when it does that . That

57:29.163 --> 57:28.790
you have to go down this path of what

57:28.790 --> 57:30.957
is it doing ? why is it doing it , and

57:30.957 --> 57:33.290
what's it going to do when this happens ?

57:33.290 --> 57:35.290
And , and so there is , there is in

57:35.290 --> 57:37.346
fact been lots of progress on how do

57:37.346 --> 57:39.568
you train people , but , but those were

57:39.568 --> 57:42.229
in very small uh use cases in very

57:42.229 --> 57:44.510
specific narrow use cases . And so in

57:44.510 --> 57:46.621
that , in those cases , I think we're

57:46.621 --> 57:48.788
probably OK , and I , I see Lorraine ,

57:48.788 --> 57:50.899
Lorraine's on that she could probably

57:50.899 --> 57:53.177
help us on this . Um , the , the , the ,

57:53.177 --> 57:55.343
those , I think we're probably OK on .

57:55.343 --> 57:57.677
I , I , what I'm far more worried about ,

57:57.677 --> 57:57.530
George , is the one you're pushing us

57:57.530 --> 57:59.586
on . As they make these systems more

57:59.586 --> 58:01.641
capable where they can do a range of

58:01.641 --> 58:03.697
things , then , then how do I create

58:03.697 --> 58:05.697
that interpredictability ? How do I

58:05.697 --> 58:07.863
create what I'll call the wingman AI ?

58:07.863 --> 58:10.030
And , and that is , that's a wild west

58:10.030 --> 58:12.197
right now . And the part of the reason

58:12.197 --> 58:14.363
is , is our VNV approach is . are just

58:14.363 --> 58:16.530
absolutely terrible . What we do is we

58:16.530 --> 58:18.419
take the AI and test it by itself

58:18.419 --> 58:20.752
instead of doing what you're suggesting ,

58:20.752 --> 58:20.364
which is how do I take this diverse set

58:20.364 --> 58:23.334
of potential users of this AI and , and ,

58:23.514 --> 58:25.847
and look at all the variations of , hey ,

58:25.847 --> 58:28.014
this novice versus this guy who's more

58:28.014 --> 58:30.125
sophisticated . What are the things I

58:30.125 --> 58:32.070
have to do to interface to each of

58:32.070 --> 58:34.236
those variations ? Um , that is , that

58:34.236 --> 58:36.347
is a , that is a real challenge . And

58:36.347 --> 58:38.403
I've lost the buckle of who's next .

58:41.060 --> 58:42.560
Igor , you wanna jump in ?

58:46.469 --> 58:49.550
Can you hear me ? Yeah , uh , I , I

58:49.550 --> 58:51.717
just have a comment on , uh , George ,

58:51.717 --> 58:55.050
uh , uh , uh , commentary regarding the

58:55.050 --> 58:57.979
what model from Chinese or , uh , well ,

58:58.219 --> 59:01.870
American . Uh , work model . Uh , so ,

59:02.229 --> 59:04.396
for much of years it is very important

59:04.396 --> 59:07.290
and I , I believe that , uh , uh , work

59:07.290 --> 59:09.840
model from , uh , totalitarian state

59:10.050 --> 59:12.050
would be very different from , uh ,

59:12.050 --> 59:14.217
free world . And also there are some ,

59:14.409 --> 59:17.169
uh , differences in religious beliefs .

59:17.409 --> 59:19.187
On high level , it will be very

59:19.187 --> 59:21.298
different on the low level , it could

59:21.298 --> 59:23.353
be quite same because it's obviously

59:23.353 --> 59:25.709
could be tested . So , uh , in my view ,

59:25.919 --> 59:27.808
uh , yes , it's important to have

59:27.879 --> 59:30.610
indoctrination and , uh , uh , just

59:30.610 --> 59:32.439
joint training all the time and

59:32.439 --> 59:34.919
discussing on high levels , uh , for

59:34.919 --> 59:37.929
any artificial intelligence , while ,

59:37.939 --> 59:40.750
uh , Satan . I got to tell you , I get ,

59:40.870 --> 59:42.870
I get that question a lot from that

59:42.870 --> 59:45.037
funny shape building . You know , what

59:45.037 --> 59:47.259
is the price we're going to pay because

59:47.259 --> 59:49.426
of the potential Chinese employment of

59:49.426 --> 59:51.481
AI will be different than ours based

59:51.481 --> 59:53.537
upon the cultural differences . Um ,

59:53.537 --> 59:55.814
Glenn , you , you want to take us home ?

59:55.814 --> 59:58.037
Yeah , I'm , I'm thinking that you keep

59:58.037 --> 01:00:00.899
hitting like I have one ring that rules

01:00:00.899 --> 01:00:04.560
them all AI model . And , you

01:00:04.560 --> 01:00:08.100
know , uh , we have debates in our own

01:00:08.100 --> 01:00:10.649
minds over what to do , you know , the ,

01:00:10.659 --> 01:00:13.219
uh , the ethical AI says , well , you

01:00:13.219 --> 01:00:15.870
better be careful . Uh , the other one

01:00:15.870 --> 01:00:17.926
goes , no , no , these rules , I can

01:00:17.926 --> 01:00:19.981
get away with this . It's , uh , and

01:00:19.981 --> 01:00:21.981
then another , another part of your

01:00:21.981 --> 01:00:23.981
brain says , yeah , but how is this

01:00:23.981 --> 01:00:26.203
gonna read in the New York Times or The

01:00:26.203 --> 01:00:28.370
Washington Post ? What are you doing ?

01:00:28.370 --> 01:00:30.790
And so do we end up training ? A whole

01:00:30.790 --> 01:00:34.399
bunch of voting AIs to uh give you

01:00:34.399 --> 01:00:36.399
different perspectives and then let

01:00:36.399 --> 01:00:39.840
another AI sit back and dispassionately

01:00:39.840 --> 01:00:42.469
rule the courses of action and say ,

01:00:42.479 --> 01:00:45.030
yeah , there's too much risk here ,

01:00:45.159 --> 01:00:47.520
rather than trying to have one AI do it

01:00:47.520 --> 01:00:50.169
all over . Yes , certainly most of the

01:00:50.169 --> 01:00:52.336
breakthroughs we're getting these days

01:00:52.336 --> 01:00:54.280
are with what we call a mixture of

01:00:54.280 --> 01:00:54.169
experts , where you have lots of

01:00:54.169 --> 01:00:55.669
different variations . Now

01:00:55.669 --> 01:00:57.669
unfortunately , most of that is the

01:00:57.669 --> 01:00:59.669
experts are specialized versus what

01:00:59.669 --> 01:01:01.502
you're suggesting , but the same

01:01:01.502 --> 01:01:03.669
concept works . What that architecture

01:01:03.669 --> 01:01:05.891
is going to look like , how do you test

01:01:05.891 --> 01:01:08.113
it , how do you employ it . Wide open .

01:01:08.129 --> 01:01:10.351
Um , but the bottom line is , in fact ,

01:01:10.351 --> 01:01:12.462
we've had an internal debate going on

01:01:12.462 --> 01:01:14.649
on creating AI solutions that lie to

01:01:14.649 --> 01:01:17.050
the humans because it was able to

01:01:17.050 --> 01:01:19.919
deduce that by giving it these false

01:01:19.919 --> 01:01:21.808
information , they'll end up in a

01:01:21.808 --> 01:01:23.975
better place in terms of performance ,

01:01:23.975 --> 01:01:26.141
you know , is that , is that something

01:01:26.141 --> 01:01:25.770
we're going to allow to happen ? It's

01:01:25.770 --> 01:01:28.090
really , really interesting days . All

01:01:28.090 --> 01:01:30.312
right guys , it's one o'clock . I don't

01:01:30.312 --> 01:01:32.368
want to run over . I can't afford to

01:01:32.368 --> 01:01:34.479
pay you the overtime , so , uh , send

01:01:34.479 --> 01:01:34.050
questions or comments , and we'll be

01:01:34.050 --> 01:01:35.850
ready next week . Thanks , Kyle .

