WEBVTT - Sci-Fi High

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey there, and welcome to Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says we don't

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<v Speaker 1>need no education. Yes we do. We just used a

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<v Speaker 1>double negative. I'm Jonathan Strickland, I'm Lauren Vocal, I'm Joe McCormick.

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<v Speaker 1>That was a good one, actually, thank you. Yeah. Once

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<v Speaker 1>once in a while I pick one that's actually si

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<v Speaker 1>appropriate for the podcast. Today we're gonna tell me appropriate

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<v Speaker 1>at all for the podcast for anyway. So today we're

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<v Speaker 1>gonna talk about science fiction and education, the future of

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<v Speaker 1>what education might be. Uh. And the reason for this

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<v Speaker 1>is because obviously we just did a video about what

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<v Speaker 1>the future of education is all about, and uh, if

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<v Speaker 1>you look to science fiction, there's some interesting concepts of

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<v Speaker 1>what we could see as part of our educational uh

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<v Speaker 1>experience in the future. The one that we often think of,

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<v Speaker 1>at least here in the office, because uh, it made

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<v Speaker 1>such a big splash when it first debuted, is the matrix, right, right,

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<v Speaker 1>So in the concept of the matrix, you've got characters

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<v Speaker 1>who have these these computer jacks that are built into

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<v Speaker 1>them huge hole in the back of your head. Right

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<v Speaker 1>right right at the top of your spine base of

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<v Speaker 1>your skull, and you can plug in what looks to

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<v Speaker 1>be a an inconveniently large plug into the back of

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<v Speaker 1>your skull, and then that allows you to do a

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<v Speaker 1>couple of things. One, it allows you to enter the matrix.

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<v Speaker 1>This this virtual environment we plug into the the program. Yeah. See,

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<v Speaker 1>it's so far in the future. I don't understand why

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<v Speaker 1>they don't have wireless access to the matrix. Yeah, well,

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<v Speaker 1>I mean clearly looks cooler. Yeah, I don't understand why

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<v Speaker 1>they're using humans as opposed to cow I thought about it. Now.

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<v Speaker 1>If you remember in the movie, they can kill you

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<v Speaker 1>just by unplugging you while you're plugged in. If you

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<v Speaker 1>had wireless access and then suddenly you had interference in

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<v Speaker 1>the signal, I guess that would kill you. What's interfering though,

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<v Speaker 1>it's just them, I don't know. Suddenly somebody moves a

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<v Speaker 1>big lead sheet between you and the and the router

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<v Speaker 1>and then you die, right right, Okay, you know what

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<v Speaker 1>We're getting far away from what I'm trying to get

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<v Speaker 1>at at this conversation already, and we haven't even gotten

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<v Speaker 1>into it. The point being that in the context of

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<v Speaker 1>the matrix. Uh. While you get plugged into this virtual environment,

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<v Speaker 1>one of the other things that can happen is that

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<v Speaker 1>using this connection to computers, this physical connection between the

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<v Speaker 1>person and the computer, you can download information from a

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<v Speaker 1>computer or have a computer upload information into you, and

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<v Speaker 1>then use that information in a meaningful way within the

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<v Speaker 1>context of the matrix, like piloting a ship or kung fu, yes,

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<v Speaker 1>I know kung fu, or becoming an expert at at

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<v Speaker 1>weapons systems, all this sort of stuff. And uh, at

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<v Speaker 1>least within the context of the matrix, as far as

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<v Speaker 1>I tell now, granted I have to in full disclosure,

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<v Speaker 1>I only watched the first film, and then I tried

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<v Speaker 1>to get through the second film twice. Second film. Yeah,

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<v Speaker 1>that's pretty much how I am. Wouldn't it be nice

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<v Speaker 1>if they made sequels? Yeah? At any rate, The point

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<v Speaker 1>being that that it seemed to me that the knowledge

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<v Speaker 1>you gained through that computer link up into your brain

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<v Speaker 1>really was only um uh, something you could put to

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<v Speaker 1>use within the matrix itself, right right for for most

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<v Speaker 1>human beings. The way that it worked in the films

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<v Speaker 1>was that you most people could could learn this thing

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<v Speaker 1>that they would know within the confines of the matrix

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<v Speaker 1>computer program, and then once you got back into reality, um,

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<v Speaker 1>which was a sucky place to be, you wouldn't know

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<v Speaker 1>it anymore, right, except they would occasionally the raves. That

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<v Speaker 1>was the that was the one part that wasn't too sucky.

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<v Speaker 1>That's actually not all that implausible when you think about it,

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<v Speaker 1>because apart from the sort of like the instantaneous downloading part,

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<v Speaker 1>it's possible to learn a virtual skill that has no

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<v Speaker 1>correlation in the real world. Like you can be the

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<v Speaker 1>best shot in the world at Halo, but that doesn't

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<v Speaker 1>mean you can actually do combat and operate an assault

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<v Speaker 1>rifle in real life. Well sure, I mean it's two

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<v Speaker 1>different sets of skills in that case. It is just

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<v Speaker 1>that it's at one set is mimicking something that happens

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<v Speaker 1>in our real space, but it's not using the exact

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<v Speaker 1>same approach. There there are correlations, though, I mean, for example,

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<v Speaker 1>surgeons use video games these days to help train themselves

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<v Speaker 1>to be better surgeons. Using that kind of a fine

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<v Speaker 1>eye hand coordination training is very helpful. I guess what

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<v Speaker 1>would be crucial in designing those kind of systems is

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<v Speaker 1>making them as map as closely to real life as possible. Well,

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<v Speaker 1>that and to make whatever the whatever your goal is,

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<v Speaker 1>something that actually helps you refine whatever your skill set is.

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<v Speaker 1>If you're talking about hand eye coordination, then it has

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<v Speaker 1>to have lots of stuff that you can react to

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<v Speaker 1>quickly and respond to in a in a way that

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<v Speaker 1>makes sense within the context of the game. Now, the

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<v Speaker 1>question is, could we get to a point where we

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<v Speaker 1>could get that kind of skill uh through a connection

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<v Speaker 1>direct connection to a computer automatic learning. It's called right right,

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<v Speaker 1>this this concept of just beaming that information from a

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<v Speaker 1>digital source into our brains and have it translate in

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<v Speaker 1>a meaningful way. And to really understand how difficult this

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<v Speaker 1>would be, we have to kind of look at how

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<v Speaker 1>we learn and how we retain information within our own brains. Yeah,

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<v Speaker 1>because in the matrix there's this it's just kind of

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<v Speaker 1>glossed over. There's some easy transition between digital and and

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<v Speaker 1>you know, the wet stuff in your head. They've got

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<v Speaker 1>a hole you just plug the thing in and that

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<v Speaker 1>that's taking care of. But in the real world, I

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<v Speaker 1>have to imagine that our brains don't use binary data.

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<v Speaker 1>No they do not. Yeah, No, our brains are not

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<v Speaker 1>they don't. This is one of those things I think

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<v Speaker 1>some futurists have trouble with and that I think some

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<v Speaker 1>futurists believe that the human brain and computers share way

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<v Speaker 1>more in common than they actually do. Now, there are commonalities,

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<v Speaker 1>I mean, they're The computer is sort of our attempt

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<v Speaker 1>to create a machine that can, in at least some contexts,

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<v Speaker 1>reason its way through things. It has to have a

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<v Speaker 1>very specific set of rules that has to follow in

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<v Speaker 1>order to do that. But um, you know, it's kind

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<v Speaker 1>of trying to mimic what we do when we're thinking

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<v Speaker 1>about stuff using rules that we have created. But when

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<v Speaker 1>you get down to the actual biology of the brain,

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<v Speaker 1>it is really complex, so complex in fact, that we

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<v Speaker 1>still don't fully understand how it works. We've got some

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<v Speaker 1>theories or maybe we should say, some hypotheses about what

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<v Speaker 1>is going on, but we're still learning a mystery to us. Yeah, yeah,

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<v Speaker 1>we we can. Even with the sophisticated tools and the

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<v Speaker 1>information that we have available to us today, we still

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<v Speaker 1>don't fully understand the process. But I let me talk

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<v Speaker 1>a little it about what we think is going on. Uh.

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<v Speaker 1>And of course some of this we may find out

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<v Speaker 1>later on is not completely correct or that it's it's right,

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<v Speaker 1>but it's missing some key component. That's you know, that's

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<v Speaker 1>part of the joy of discovering stuff. Really, it's something

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<v Speaker 1>that I find exciting about all areas of science. So. Um, Really,

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<v Speaker 1>there's three steps in the way that we store information.

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<v Speaker 1>There's uh or the way we deal with information in

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<v Speaker 1>our brains. There's encoding, there's storage, and there's retrieval. Now

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<v Speaker 1>so far, that sounds a lot like computers. You know,

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<v Speaker 1>you encode the information, you store it, and then you

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<v Speaker 1>can retrieve it whenever you need to. Um. There are

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<v Speaker 1>three different types basic types of memory. There's sensory memory.

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<v Speaker 1>This is something that lasts maybe two seconds at most.

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<v Speaker 1>This is what your brain is doing to to help

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<v Speaker 1>you interpret the information that you're bringing in through your senses.

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<v Speaker 1>Is it's sort of what we describe as the moment

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<v Speaker 1>to moment ex perience of consciousness. Um. It's it's almost

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<v Speaker 1>like when you first feel that blast of cold air

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<v Speaker 1>and you think of it as cold. It's really the

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<v Speaker 1>memory of cold that you're associate. It's kind of you

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<v Speaker 1>get a little metaphysical when you can start talking. There's

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<v Speaker 1>such a thing as the present, you know, right right, Yeah,

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<v Speaker 1>that thing as cold and whether or not, Yeah, just

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<v Speaker 1>just based on you know, the the idea that my

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<v Speaker 1>green is different than your green because we've both experienced

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<v Speaker 1>the color differently. Yeah. Uh. And then there's the lady

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<v Speaker 1>who can experience millions of colors. You guys read about her, right,

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<v Speaker 1>Yeah you haven't. This this is a sidebar, but it

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<v Speaker 1>is an exciting thing. Uh. Some scientists have have identified

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<v Speaker 1>a woman, I want to say, she's a doctor in

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<v Speaker 1>the UK who they've identified as as being able to

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<v Speaker 1>perceive something like one dred million different shades of color.

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<v Speaker 1>So she's got supersensory ability when it comes to color differentiation.

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<v Speaker 1>She cannot see outside the visible range. It's not like

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<v Speaker 1>she suddenly has the ability to see infrared or ultra violet,

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<v Speaker 1>but she can see incredibly subtle differences in color. Uh.

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<v Speaker 1>The average person, it's more like one million shades. So

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<v Speaker 1>she has one hundred times the sensitivity, which means that

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<v Speaker 1>she must go bunkers when she's trying to pick out

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<v Speaker 1>an outfit that matches, because things that to us would

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<v Speaker 1>look like they match perfectly, she'd say, well, no, that's white,

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<v Speaker 1>totally not white. That that's not the right color at all.

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<v Speaker 1>It's like the color equivalent of how people don't like

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<v Speaker 1>forty eight frames per second. It's just there's too much

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<v Speaker 1>detail everything. The idea being that you could you could

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<v Speaker 1>show someone like like me, I have terrible color recognition

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<v Speaker 1>skills that I've taken those courses, those those those little

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<v Speaker 1>those little tests where you're supposed to arrange the different

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<v Speaker 1>shades from uh, you know, different the Roy G. BIV

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<v Speaker 1>type stuff and uh, and I don't score very well

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<v Speaker 1>at them at all. So you could show two colors

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<v Speaker 1>to me that I might think look identical, and to her,

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<v Speaker 1>she'd say, no, there's a world difference between them. All right,

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<v Speaker 1>that's getting beyond the scope of this conversation, but it's cool,

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<v Speaker 1>so I had to talk about it. So you've got

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<v Speaker 1>sensory memory that last two seconds max. Then you have

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<v Speaker 1>short term memory, This is more like something that lasts

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<v Speaker 1>about thirty seconds. This is when you are trying to

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<v Speaker 1>retain some information for just a brief moment, like someone's

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<v Speaker 1>just told you their phone number and you're trying to

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<v Speaker 1>put it into your phone or write it down if

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<v Speaker 1>you still do that, and and so you just have

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<v Speaker 1>to remember it long enough to be able to do that,

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<v Speaker 1>and then you offload that need to remember, so your

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<v Speaker 1>your mind doesn't have to retain that information. Um, then

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<v Speaker 1>you have long term memory. A long term memory, of course,

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<v Speaker 1>is when this is what we think of as when

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<v Speaker 1>we say actual memories, like you're remembering something that happened

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<v Speaker 1>to in your past. That's a long term memory. And

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<v Speaker 1>the interesting thing I found was that short term memory

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<v Speaker 1>what happens is when you encounter this new information that

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<v Speaker 1>you're trying to remember. What is going on is that

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<v Speaker 1>you have you have neurons in your brain, right, the

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<v Speaker 1>neural cells, and then you have connections synapsis between the neurons. Uh.

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<v Speaker 1>You've got about one billion neurons in your average brain,

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<v Speaker 1>all right. Each of those neurons has about one thousand

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<v Speaker 1>connections to other neurons, so that means that you have

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<v Speaker 1>more than a trillion connections total in your brain. Now,

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<v Speaker 1>a memory is actually the collection of connections between specific

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<v Speaker 1>neurons in your brain at any given time. So, if Joe,

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<v Speaker 1>you were to present to me some information that I

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<v Speaker 1>was supposed to remember, uh, that first short term memory

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<v Speaker 1>would form a connection between certain neurons and that would

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<v Speaker 1>represent that memory, that specific uh combination of connections. If

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<v Speaker 1>I were to make that a long term memory, it

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<v Speaker 1>would actually be reconfiguring the those cells and those connections

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<v Speaker 1>so that they were made a more permanent connection, and

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<v Speaker 1>then every time I thought back on it, it would

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<v Speaker 1>be essentially recreating what happened in that short term memory.

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<v Speaker 1>It would it would like fire an electrical signal on

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<v Speaker 1>a certain pattern across soup, if you could kind of

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<v Speaker 1>it in a weird analogy. Let's say that we get

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<v Speaker 1>a big group of people together to take a group

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<v Speaker 1>photo and I tell everyone assume a silly pose and

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<v Speaker 1>they all just do something spontaneous for a second, and

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<v Speaker 1>I take a picture, and then every single day for

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<v Speaker 1>the next month, I get everyone together, I'm like, all right,

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<v Speaker 1>assume the same silly pose that you did before. They

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<v Speaker 1>are trying to recreate that moment that they had before,

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<v Speaker 1>and the more it's recreated, the stronger that memory becomes. However,

0:12:27.280 --> 0:12:32.520
<v Speaker 1>just like in that analogy, you can make mistakes, right

0:12:32.679 --> 0:12:34.839
<v Speaker 1>I You know, I might think, oh, yeah, I raised

0:12:34.840 --> 0:12:37.120
<v Speaker 1>my left eyebrow really high in the scoofy photo, but

0:12:37.200 --> 0:12:39.760
<v Speaker 1>really I raised my right eyebrow, and you're not allowed

0:12:39.800 --> 0:12:41.520
<v Speaker 1>to look at the photo for reference, so you're just

0:12:41.559 --> 0:12:44.560
<v Speaker 1>trying to remember this. Uh, your memory can actually be faulty,

0:12:44.600 --> 0:12:47.319
<v Speaker 1>which we see all the time. Right, memory is not

0:12:47.760 --> 0:12:51.600
<v Speaker 1>a completely reliable source. We think our memories are better

0:12:51.640 --> 0:12:54.760
<v Speaker 1>than they are. Yeah, yeah, I mean I'm certainly that

0:12:54.800 --> 0:12:58.800
<v Speaker 1>way of the conversations I have with my wife, our

0:12:58.840 --> 0:13:02.440
<v Speaker 1>disagreements with who said what when, and uh, and clearly

0:13:02.480 --> 0:13:05.439
<v Speaker 1>one of us has to be wrong. And I hope

0:13:05.480 --> 0:13:08.680
<v Speaker 1>it's not always me, but it very well might be

0:13:08.679 --> 0:13:14.040
<v Speaker 1>because my memories is not it's it's not infallible. So uh,

0:13:14.240 --> 0:13:17.640
<v Speaker 1>I wish it were all right. So beyond that, we've

0:13:17.640 --> 0:13:21.839
<v Speaker 1>got the these this information stored within these connections of neurons,

0:13:22.400 --> 0:13:27.440
<v Speaker 1>and uh, we don't fully understand the mechanism that's going

0:13:27.480 --> 0:13:30.640
<v Speaker 1>on here. We can get some we've got some general ideas.

0:13:31.040 --> 0:13:34.080
<v Speaker 1>We also can't measure how big a memory is, like

0:13:34.120 --> 0:13:37.840
<v Speaker 1>how much is being stored there. So for example, with

0:13:37.840 --> 0:13:41.680
<v Speaker 1>with computers, you can see just by the file size, right, So,

0:13:42.559 --> 0:13:44.599
<v Speaker 1>and it's it's based on you know, a number of

0:13:44.880 --> 0:13:47.199
<v Speaker 1>letters of a number of characters that can be specifically

0:13:47.200 --> 0:13:50.320
<v Speaker 1>break broken down into a number of ones and serious

0:13:50.440 --> 0:13:53.440
<v Speaker 1>yeah yeah, essentially if you're talking about like a text file,

0:13:53.520 --> 0:13:56.200
<v Speaker 1>that's exactly true. So you look at that and you say,

0:13:56.200 --> 0:13:58.439
<v Speaker 1>all right, well that I know exactly how much space

0:13:58.480 --> 0:14:01.439
<v Speaker 1>this is going to take in whatever recording medium I'm

0:14:01.440 --> 0:14:03.440
<v Speaker 1>going to use, if it's going to be optical or

0:14:03.480 --> 0:14:08.040
<v Speaker 1>magnetic or whatever. That's we can't say that with human memories. Uh.

0:14:08.200 --> 0:14:11.120
<v Speaker 1>Memories are very very interesting and different things, and they

0:14:11.200 --> 0:14:13.640
<v Speaker 1>change over time. Like I said, you might forget little

0:14:13.679 --> 0:14:16.520
<v Speaker 1>details which could actually change quote unquote the file size

0:14:16.559 --> 0:14:19.800
<v Speaker 1>of your memory. Uh. And then beyond that, you have

0:14:19.920 --> 0:14:24.160
<v Speaker 1>things like association, where you can make associations between memories

0:14:24.160 --> 0:14:26.600
<v Speaker 1>that don't have a direct connection with one another. So

0:14:26.920 --> 0:14:29.320
<v Speaker 1>I might remember an instance I had with Lauren in

0:14:29.320 --> 0:14:32.440
<v Speaker 1>an instance I had with Joe and draw connections between

0:14:32.480 --> 0:14:36.640
<v Speaker 1>them even though they were too completely separate uh moments,

0:14:36.840 --> 0:14:39.080
<v Speaker 1>perhaps both in time and space. So I might have

0:14:39.640 --> 0:14:42.880
<v Speaker 1>run into Joe, uh, you know, in downtown Atlanta, and

0:14:42.920 --> 0:14:44.280
<v Speaker 1>it might have been something that happened with me and

0:14:44.360 --> 0:14:47.880
<v Speaker 1>Lauren in the office. And yet I'm able to associate things,

0:14:48.040 --> 0:14:50.840
<v Speaker 1>you know, because my That's one of the cool ways

0:14:50.840 --> 0:14:55.320
<v Speaker 1>that our brains work. Now, beyond all that, there's been

0:14:55.360 --> 0:14:58.920
<v Speaker 1>a recent study that was was published in Nature Neuroscience

0:14:59.080 --> 0:15:03.440
<v Speaker 1>where we discovered that rapid incoming data stuff that's happening

0:15:03.800 --> 0:15:06.960
<v Speaker 1>very very quickly. Little second long moments of information that

0:15:07.000 --> 0:15:10.360
<v Speaker 1>you're being confronted with can be stored in our brains

0:15:10.480 --> 0:15:14.440
<v Speaker 1>in single neurons. Like a single neuron can actually hold

0:15:14.440 --> 0:15:19.080
<v Speaker 1>a memory, but it's like a second long. And they think,

0:15:19.200 --> 0:15:22.160
<v Speaker 1>the scientists think that perhaps the reason for this is

0:15:22.200 --> 0:15:25.080
<v Speaker 1>so that it gives your brain a little bit of

0:15:25.200 --> 0:15:28.400
<v Speaker 1>a little extra time to incorporate this and start to

0:15:28.480 --> 0:15:32.080
<v Speaker 1>make a short term memory out of this blast of

0:15:32.200 --> 0:15:35.080
<v Speaker 1>short information. Which is why if someone comes up and

0:15:35.160 --> 0:15:39.840
<v Speaker 1>just gives you a quick list of of facts or figures,

0:15:40.040 --> 0:15:42.160
<v Speaker 1>you might be able to recall a few, but you're

0:15:42.200 --> 0:15:44.240
<v Speaker 1>not able to recall all of them. And some of

0:15:44.240 --> 0:15:46.000
<v Speaker 1>that is because those little neurons are able to hold

0:15:46.000 --> 0:15:50.000
<v Speaker 1>onto enough information for it to become meaningful to you. UH.

0:15:50.680 --> 0:15:54.240
<v Speaker 1>And then there there was a team led by Professor

0:15:54.320 --> 0:15:59.440
<v Speaker 1>John Gabrielli and UH he discovered that activity in a

0:15:59.440 --> 0:16:04.640
<v Speaker 1>specific of the brain called the para hippocampal cortex or PHC,

0:16:05.400 --> 0:16:09.640
<v Speaker 1>predicts how well people will remember a visual scene. So

0:16:10.000 --> 0:16:13.520
<v Speaker 1>if using fm R I machines to to take a

0:16:13.560 --> 0:16:17.440
<v Speaker 1>look at someone, um, if the activity were low, they

0:16:17.440 --> 0:16:19.880
<v Speaker 1>were more likely to remember a visual scenes, so they

0:16:19.880 --> 0:16:23.680
<v Speaker 1>could actually predict when people would remember more about the

0:16:23.720 --> 0:16:26.280
<v Speaker 1>stuff they were going to be shown based upon their

0:16:26.360 --> 0:16:29.680
<v Speaker 1>neural activity. Now, we can't do anything with that information

0:16:29.800 --> 0:16:32.680
<v Speaker 1>yet other than know that this we can tell when

0:16:32.720 --> 0:16:37.280
<v Speaker 1>someone is ready to learn, but we can't induce that right.

0:16:37.360 --> 0:16:38.920
<v Speaker 1>So it's just one of those things where you take

0:16:38.920 --> 0:16:41.560
<v Speaker 1>a look at the person's brain and you think now

0:16:41.680 --> 0:16:45.080
<v Speaker 1>is when they would be most us most have to

0:16:45.120 --> 0:16:49.120
<v Speaker 1>remember something visually. Now, beyond that, if we're talking about

0:16:49.160 --> 0:16:52.520
<v Speaker 1>the type parts of the brain that are involved in memory, again,

0:16:52.720 --> 0:16:56.960
<v Speaker 1>we don't know for sure all the different mechanisms here,

0:16:57.000 --> 0:17:00.280
<v Speaker 1>but we suspect that the hippocampus and frontal cortex X

0:17:00.600 --> 0:17:05.159
<v Speaker 1>work together to determine which sensory input is important to

0:17:05.280 --> 0:17:09.919
<v Speaker 1>go into memory formation, so which bits of info are

0:17:10.600 --> 0:17:14.600
<v Speaker 1>are vital and which are extraneous. So it may discard

0:17:14.920 --> 0:17:17.600
<v Speaker 1>that you could be you could be bringing in way

0:17:17.640 --> 0:17:21.399
<v Speaker 1>more information than you remember because you're parts of your

0:17:21.400 --> 0:17:24.080
<v Speaker 1>brain are saying, well, that's not important, let's not record that.

0:17:24.240 --> 0:17:27.040
<v Speaker 1>So you could be forgetting very important details because they

0:17:27.080 --> 0:17:31.360
<v Speaker 1>just were never recorded within your memory. Um and these

0:17:31.440 --> 0:17:36.560
<v Speaker 1>memories tend to be of spatial or declarative uh, types

0:17:36.600 --> 0:17:39.240
<v Speaker 1>of memories. No, spatial memory is of course how things

0:17:39.280 --> 0:17:42.399
<v Speaker 1>fit within a given space. Declarative are the type of

0:17:42.400 --> 0:17:45.080
<v Speaker 1>memories where you can actually talk about it. You could

0:17:45.119 --> 0:17:48.240
<v Speaker 1>express what you were thinking, such as, you know, when

0:17:48.240 --> 0:17:51.399
<v Speaker 1>I was young, I had to walk to school uphill

0:17:51.520 --> 0:17:54.720
<v Speaker 1>both ways and five ft of snow. That would be

0:17:54.720 --> 0:17:59.159
<v Speaker 1>a declarative memory, as also be a lie. Uh. And

0:17:59.200 --> 0:18:03.840
<v Speaker 1>then the amygdal plays a role in encoding emotionally stressful memories.

0:18:04.400 --> 0:18:08.320
<v Speaker 1>And then anything that's procedural, which is learning a basic

0:18:08.400 --> 0:18:13.120
<v Speaker 1>physical task or a set of steps, is probably governed

0:18:13.480 --> 0:18:18.160
<v Speaker 1>by basil ganglia and the cerebellum. It's that motor memory. Uh,

0:18:18.280 --> 0:18:21.800
<v Speaker 1>not just motor memory. Let's say that. Uh, let's say

0:18:21.840 --> 0:18:25.240
<v Speaker 1>that Joe, you are are traveling from your home to

0:18:25.280 --> 0:18:29.760
<v Speaker 1>the office. It's you learning that route to the point

0:18:29.840 --> 0:18:32.760
<v Speaker 1>where you no longer really thinking about the route anymore

0:18:32.760 --> 0:18:35.639
<v Speaker 1>as you drive from your home to the office. So

0:18:35.800 --> 0:18:40.080
<v Speaker 1>it's it's that kind of procedure. You know, Now I

0:18:40.200 --> 0:18:44.200
<v Speaker 1>take a right, Now I go two point three miles.

0:18:44.200 --> 0:18:46.359
<v Speaker 1>Now I take a left. That kind of thing become

0:18:46.440 --> 0:18:48.520
<v Speaker 1>so automatic people think they can do it while they're

0:18:48.560 --> 0:18:53.440
<v Speaker 1>composing a long text message. Yeah, that don't do that. Uh,

0:18:53.560 --> 0:18:56.199
<v Speaker 1>but anyway, that's that's the basic rundown of what we

0:18:56.320 --> 0:18:59.560
<v Speaker 1>know about the human brain, and clearly there's a lot

0:18:59.640 --> 0:19:02.440
<v Speaker 1>we still don't know. But when you think about that way,

0:19:02.440 --> 0:19:05.399
<v Speaker 1>when you think that memories, which is really what we

0:19:05.440 --> 0:19:08.160
<v Speaker 1>have to work on when we start talking about thinking

0:19:08.240 --> 0:19:12.240
<v Speaker 1>and putting stuff together, um, thinking about them being not

0:19:12.359 --> 0:19:17.040
<v Speaker 1>just neurons but connections makes it so much more complex

0:19:17.080 --> 0:19:20.639
<v Speaker 1>that you can see. To to be able to induce

0:19:20.960 --> 0:19:24.680
<v Speaker 1>information in someone is going to be challenging because it's

0:19:24.720 --> 0:19:27.280
<v Speaker 1>not like you could just target a specific neuron and

0:19:27.320 --> 0:19:31.119
<v Speaker 1>say it is your job to remember this fact. In fact,

0:19:31.240 --> 0:19:35.280
<v Speaker 1>i'd have to imagine that most memories, um and feel

0:19:35.320 --> 0:19:38.040
<v Speaker 1>free to correct me, But it seems like most would

0:19:38.080 --> 0:19:41.960
<v Speaker 1>involve multiple types of memory formation at the same time.

0:19:42.480 --> 0:19:45.440
<v Speaker 1>Like if I'm having a memory later today about us

0:19:45.480 --> 0:19:48.400
<v Speaker 1>recording this podcast, first of all, I'm sorry, isn't it

0:19:48.440 --> 0:19:50.840
<v Speaker 1>going to be composed of both? It's it's going to

0:19:50.960 --> 0:19:54.439
<v Speaker 1>be images. I'm going to remember auditory cues. I'm going

0:19:54.520 --> 0:19:56.719
<v Speaker 1>to remember what, you know, the paper felt like in

0:19:56.760 --> 0:20:01.080
<v Speaker 1>my hands, about it? Remember how so the brain, how

0:20:01.160 --> 0:20:04.480
<v Speaker 1>warm it is in this studio? Yeah, I could remember

0:20:04.520 --> 0:20:09.880
<v Speaker 1>my simmering resentment of our fearless leader here. That's that's fair, Joe,

0:20:10.080 --> 0:20:14.200
<v Speaker 1>I've earned that. Um yeah, you know, first of all, guys,

0:20:14.240 --> 0:20:16.680
<v Speaker 1>we all really do like each other. I don't want

0:20:16.680 --> 0:20:18.560
<v Speaker 1>I don't want to. I don't want that to actually

0:20:18.600 --> 0:20:23.080
<v Speaker 1>be taken seriously. We would I would suspect. I would

0:20:23.080 --> 0:20:26.720
<v Speaker 1>suspect that indeed, it would be several different memories all

0:20:26.760 --> 0:20:31.199
<v Speaker 1>combining into one, and not just one uh over, like

0:20:31.480 --> 0:20:34.560
<v Speaker 1>not just one mega memory that somehow engages all these things.

0:20:34.880 --> 0:20:37.919
<v Speaker 1>But honestly, I don't know the answer, Like I couldn't

0:20:37.960 --> 0:20:40.399
<v Speaker 1>tell you for sure. I would suspect it, But again

0:20:40.560 --> 0:20:43.280
<v Speaker 1>that's because of what I've read already. Of course. Then again,

0:20:43.359 --> 0:20:45.639
<v Speaker 1>maybe one way to think about it is that that

0:20:45.760 --> 0:20:49.239
<v Speaker 1>a full experiential memory is maybe something kind of like

0:20:49.280 --> 0:20:53.119
<v Speaker 1>a web page where you have like images, and you

0:20:53.160 --> 0:20:56.640
<v Speaker 1>have text, and you might have music playing, and it's

0:20:56.680 --> 0:20:59.760
<v Speaker 1>all different types of data, but it comes together for

0:20:59.800 --> 0:21:02.160
<v Speaker 1>one when it could be very well, it could very

0:21:02.160 --> 0:21:05.200
<v Speaker 1>well be when you remember something that you're leaving certain

0:21:05.240 --> 0:21:09.159
<v Speaker 1>details out entirely, which would again kind of lead you

0:21:09.240 --> 0:21:14.119
<v Speaker 1>to that thought of these are separate pieces to a puzzle,

0:21:14.320 --> 0:21:18.520
<v Speaker 1>but you don't necessarily need the full puzzle. Okay, so

0:21:19.720 --> 0:21:25.600
<v Speaker 1>what would it take to use technology to make knowledge

0:21:25.600 --> 0:21:28.760
<v Speaker 1>in the brain, Like, is is it really possible? And

0:21:28.760 --> 0:21:31.840
<v Speaker 1>and is there a role for technology to play in

0:21:31.880 --> 0:21:35.720
<v Speaker 1>the future of education? Obviously, I would always argue that

0:21:35.760 --> 0:21:39.320
<v Speaker 1>technology definitely has a role in an education. I don't

0:21:39.720 --> 0:21:42.240
<v Speaker 1>I'm not one of those people who thinks that education

0:21:42.240 --> 0:21:46.640
<v Speaker 1>that technology replaces the need for teachers. I'm the son

0:21:46.800 --> 0:21:51.600
<v Speaker 1>of two teachers. I value teachers. I value librarians very highly.

0:21:52.119 --> 0:21:55.520
<v Speaker 1>I think that they are incredibly important in the role

0:21:55.640 --> 0:21:59.479
<v Speaker 1>of education. I think that technology can make their jobs

0:21:59.640 --> 0:22:04.080
<v Speaker 1>easy year if it is used properly. And that's a

0:22:04.080 --> 0:22:06.800
<v Speaker 1>big if, because just throwing technology at the problem is

0:22:06.960 --> 0:22:10.800
<v Speaker 1>no guarantee that you're going to uh going to actually

0:22:10.800 --> 0:22:13.240
<v Speaker 1>help out right, right, or maybe maybe not easier, but

0:22:13.320 --> 0:22:17.600
<v Speaker 1>maybe I'm just different, more more enriched, but different. Well,

0:22:17.920 --> 0:22:20.200
<v Speaker 1>one example I think we can look at right now

0:22:20.600 --> 0:22:23.840
<v Speaker 1>of how technology is doing something in education that we

0:22:23.920 --> 0:22:29.879
<v Speaker 1>normally can't do is stuff like personalized learning adaptive tutor software,

0:22:30.560 --> 0:22:34.760
<v Speaker 1>where so imagine you have something like students are you know,

0:22:35.040 --> 0:22:38.440
<v Speaker 1>elementary school students are trying to learn math alight, now

0:22:38.480 --> 0:22:41.919
<v Speaker 1>they might have a really good math teacher. And I

0:22:41.960 --> 0:22:46.040
<v Speaker 1>don't think that I can see anyway that technology could

0:22:46.040 --> 0:22:49.680
<v Speaker 1>on the whole replace that teacher, but I can see

0:22:49.720 --> 0:22:55.200
<v Speaker 1>it providing a really important individual attention that one teacher

0:22:55.320 --> 0:22:58.240
<v Speaker 1>can't give a whole room of students. So you're saying like,

0:22:58.280 --> 0:23:01.440
<v Speaker 1>you've got twenty five students, and as twenty five students

0:23:01.480 --> 0:23:05.600
<v Speaker 1>all learn in slightly different ways and uh, and the

0:23:05.640 --> 0:23:08.679
<v Speaker 1>teacher's approach might work really well for the majority of

0:23:08.720 --> 0:23:10.439
<v Speaker 1>the class, but there might be other members of the

0:23:10.440 --> 0:23:13.199
<v Speaker 1>class who are It's not that they're not bright, or

0:23:13.240 --> 0:23:15.479
<v Speaker 1>not that they're not willing to learn, but they might

0:23:15.520 --> 0:23:18.120
<v Speaker 1>absorb information better when they read it to versus or

0:23:18.160 --> 0:23:21.080
<v Speaker 1>if they're watching a video about it, or they're listening

0:23:21.119 --> 0:23:23.439
<v Speaker 1>to something about it rather than whatever the teacher do.

0:23:23.480 --> 0:23:26.800
<v Speaker 1>You guys happen to. And there's the simple like human

0:23:26.840 --> 0:23:29.480
<v Speaker 1>power issue like that the teacher does not have enough

0:23:29.520 --> 0:23:33.560
<v Speaker 1>time to spend individually with each student. I can make

0:23:33.600 --> 0:23:36.560
<v Speaker 1>sure that they're getting every bit of it right. I mean,

0:23:36.600 --> 0:23:38.480
<v Speaker 1>if you have if you have one hour for math

0:23:38.560 --> 0:23:40.760
<v Speaker 1>class and you have twenty five students, then you know,

0:23:40.800 --> 0:23:42.680
<v Speaker 1>how how would you divide that up so that you

0:23:42.720 --> 0:23:45.359
<v Speaker 1>would be the most effective teacher. Yeah, so imagine you

0:23:45.400 --> 0:23:49.760
<v Speaker 1>have a program that that watches the students solve the problem.

0:23:49.800 --> 0:23:52.120
<v Speaker 1>Like the student has a tablet or something and they're

0:23:52.160 --> 0:23:55.280
<v Speaker 1>working out the problem on the tablet. This software is

0:23:55.320 --> 0:23:58.080
<v Speaker 1>smart and it follows their progress, so it can see

0:23:58.119 --> 0:24:01.720
<v Speaker 1>what kind of mistakes there make consistently, and it can

0:24:01.800 --> 0:24:04.720
<v Speaker 1>focus attention, so like the teacher can even get feedback

0:24:04.760 --> 0:24:07.760
<v Speaker 1>saying like, Okay, what you know little Johnny's having trouble

0:24:07.800 --> 0:24:10.159
<v Speaker 1>with is he's forgetting to carry the one when he

0:24:10.200 --> 0:24:13.720
<v Speaker 1>does an addition with multiple places or something like that.

0:24:13.320 --> 0:24:17.960
<v Speaker 1>That actually I actually had more problem remembering positive and

0:24:18.000 --> 0:24:21.359
<v Speaker 1>negative signs. That's actually true. Well, I mean, and it

0:24:21.359 --> 0:24:23.800
<v Speaker 1>could probably figure that out too, right in a way

0:24:23.840 --> 0:24:27.600
<v Speaker 1>that um that a teacher who has lots of students

0:24:27.640 --> 0:24:30.480
<v Speaker 1>to deal with just probably wouldn't have time. And then

0:24:30.520 --> 0:24:33.639
<v Speaker 1>the software, based on what it learns about the student,

0:24:33.680 --> 0:24:37.120
<v Speaker 1>would give the student different problems or or focus its

0:24:37.119 --> 0:24:39.520
<v Speaker 1>information in a different way in the future. Exactly. Yeah,

0:24:39.560 --> 0:24:42.560
<v Speaker 1>it could adapt to what the student is learning and

0:24:42.560 --> 0:24:46.720
<v Speaker 1>and a just expectations accordingly, which is a great idea.

0:24:46.760 --> 0:24:50.399
<v Speaker 1>And of course we've seen different approaches to trying to

0:24:50.400 --> 0:24:54.640
<v Speaker 1>to cater to different learning styles. You know, for example,

0:24:54.840 --> 0:24:57.200
<v Speaker 1>do you guys happen to have a preference of how

0:24:57.240 --> 0:25:03.359
<v Speaker 1>you learn stuff reading reading stuff? I'm definitely in the minority.

0:25:03.400 --> 0:25:06.200
<v Speaker 1>I'm not very visual. I'm very auditory, So a lot

0:25:06.200 --> 0:25:08.800
<v Speaker 1>of times I understand something a lot better if I

0:25:08.840 --> 0:25:11.280
<v Speaker 1>hear somebody explain it to me than if I were

0:25:11.280 --> 0:25:15.200
<v Speaker 1>to read the exact same words. Interesting, I'm very visual myself,

0:25:15.240 --> 0:25:18.800
<v Speaker 1>so we've kind of got an interesting mix here. Um. Yeah,

0:25:18.920 --> 0:25:21.560
<v Speaker 1>And and so the idea would be that this software

0:25:21.560 --> 0:25:25.920
<v Speaker 1>would start to pick up on which learning methods seem

0:25:26.000 --> 0:25:28.640
<v Speaker 1>to work the best with that particular student and and

0:25:28.720 --> 0:25:33.159
<v Speaker 1>be able to concentrate more on catering to that knowing

0:25:33.200 --> 0:25:39.280
<v Speaker 1>that these kind of learning approaches aren't always exactly the

0:25:39.359 --> 0:25:43.560
<v Speaker 1>same across every subject, or even across every single day.

0:25:43.600 --> 0:25:48.320
<v Speaker 1>So ideally the best kind of software would be dynamic,

0:25:48.520 --> 0:25:52.359
<v Speaker 1>and that it could very in very subtle ways pick

0:25:52.440 --> 0:25:55.840
<v Speaker 1>up on changes that the student is going through when

0:25:55.880 --> 0:26:00.000
<v Speaker 1>they're learning and being able to to uh anticipate them

0:25:59.840 --> 0:26:03.359
<v Speaker 1>and cater to those as well. Because you might learn

0:26:03.480 --> 0:26:06.000
<v Speaker 1>one concept really easily one way, but you might need

0:26:06.040 --> 0:26:09.560
<v Speaker 1>a different, slight different combination of ways for another concept.

0:26:09.960 --> 0:26:12.879
<v Speaker 1>And so in a way you're talking about and artificially intelligent,

0:26:13.480 --> 0:26:20.400
<v Speaker 1>uh proactive learning tool, which is still sort of science fictionary.

0:26:20.480 --> 0:26:22.320
<v Speaker 1>I mean, we don't we haven't reached that level of

0:26:22.359 --> 0:26:26.159
<v Speaker 1>sophistication with artificial intelligence, but it's within the realm of plausibility,

0:26:26.400 --> 0:26:28.840
<v Speaker 1>right because we certainly have this kind of tutoring software,

0:26:29.240 --> 0:26:31.600
<v Speaker 1>not exactly what Jonathan was just talking about, but we

0:26:31.640 --> 0:26:35.280
<v Speaker 1>do have adaptive tutoring software right now in the real world,

0:26:35.359 --> 0:26:38.600
<v Speaker 1>and it'll be interesting. I think it's early. It's still

0:26:38.600 --> 0:26:41.920
<v Speaker 1>early enough days where it's hard to get a real

0:26:43.200 --> 0:26:46.160
<v Speaker 1>grip on how effective it is. It's one of those

0:26:46.160 --> 0:26:49.560
<v Speaker 1>things where I've definitely seen some conflicting stuff about you know,

0:26:49.720 --> 0:26:53.800
<v Speaker 1>is there a measurable difference? Does it really help a

0:26:53.880 --> 0:26:57.359
<v Speaker 1>student that much more than it would just going to

0:26:57.440 --> 0:27:00.600
<v Speaker 1>class and paying attention to a teacher? But um, But

0:27:00.680 --> 0:27:03.679
<v Speaker 1>then two things. One again, it's very early on in

0:27:03.720 --> 0:27:05.960
<v Speaker 1>the technology, so we haven't had a lot of time

0:27:06.000 --> 0:27:10.200
<v Speaker 1>to really examine it at work. And to being early

0:27:10.240 --> 0:27:12.440
<v Speaker 1>on in the technology, it means it's not as sophisticated

0:27:12.520 --> 0:27:15.440
<v Speaker 1>as it may one day be, So that's something to

0:27:15.520 --> 0:27:19.280
<v Speaker 1>keep in mind. It's I think it's a promising approach

0:27:19.400 --> 0:27:23.439
<v Speaker 1>to help supplement a student's education. Thinking you know, again

0:27:23.480 --> 0:27:26.720
<v Speaker 1>the teachers really important here, and then this would be

0:27:26.760 --> 0:27:30.560
<v Speaker 1>a great tool to help individualized where the teacher doesn't

0:27:30.680 --> 0:27:33.200
<v Speaker 1>just doesn't have time right right, and allow the teacher

0:27:33.240 --> 0:27:35.679
<v Speaker 1>and and also I mean even give the teacher that

0:27:35.760 --> 0:27:39.080
<v Speaker 1>indication early on if a student is having problems, so

0:27:39.080 --> 0:27:41.600
<v Speaker 1>that the teacher can be proactive and work with the

0:27:41.640 --> 0:27:43.880
<v Speaker 1>student and say, all right, I can tell that you're

0:27:43.920 --> 0:27:47.320
<v Speaker 1>not that something's not clicking here, can you. Let's let's

0:27:47.359 --> 0:27:49.080
<v Speaker 1>talk about this and see if we can find a

0:27:49.119 --> 0:27:50.959
<v Speaker 1>way where this makes sense to you and for them,

0:27:50.960 --> 0:27:54.600
<v Speaker 1>where to help teachers refine their educational style and and

0:27:55.560 --> 0:27:59.240
<v Speaker 1>cater more to what works you know, in the real world,

0:27:59.240 --> 0:28:01.239
<v Speaker 1>in the real class for get that data back from

0:28:01.280 --> 0:28:04.240
<v Speaker 1>the programs about where students attention is and what's really

0:28:04.280 --> 0:28:07.000
<v Speaker 1>working for them and what's maybe not. Yeah, now we're

0:28:07.320 --> 0:28:09.480
<v Speaker 1>looking at this from a very idealized way. If we

0:28:09.520 --> 0:28:12.159
<v Speaker 1>have any teachers out there listening, first of all, we

0:28:12.280 --> 0:28:16.920
<v Speaker 1>love you, and we do really appreciate the incredible work

0:28:16.920 --> 0:28:19.919
<v Speaker 1>you do, especially considering that you know, some schools it

0:28:19.960 --> 0:28:23.680
<v Speaker 1>can be a real challenge. Uh, so you know, it's

0:28:23.720 --> 0:28:25.199
<v Speaker 1>definitely one of those things that we're thinking about as

0:28:25.200 --> 0:28:28.919
<v Speaker 1>a future technology, not something like not that teachers just

0:28:28.960 --> 0:28:33.680
<v Speaker 1>aren't doing their job. Nothing could be for them, absolutely not. UM,

0:28:33.800 --> 0:28:36.840
<v Speaker 1>So I thought we should maybe move on to talk

0:28:36.880 --> 0:28:41.360
<v Speaker 1>about what other possibilities technology could hold for the inception

0:28:41.400 --> 0:28:47.880
<v Speaker 1>of knowledge and the technological supplementation. Supplementation. Sure, I'm just

0:28:48.080 --> 0:28:49.640
<v Speaker 1>that word. I was just looking to make sure my

0:28:49.680 --> 0:28:52.960
<v Speaker 1>top is still spinning and it is go on, okay

0:28:53.840 --> 0:28:59.000
<v Speaker 1>of of knowledge and training. And I found this fascinating

0:29:00.160 --> 0:29:07.960
<v Speaker 1>study about something called decoded neurofeedback. Say what decoded neurofeedback?

0:29:08.040 --> 0:29:13.680
<v Speaker 1>So neurofeedback is um where data gathered about a person's

0:29:13.760 --> 0:29:17.200
<v Speaker 1>brain is displayed back to the person in a certain

0:29:17.240 --> 0:29:20.560
<v Speaker 1>way so the person can adapt in in some way

0:29:20.600 --> 0:29:26.200
<v Speaker 1>control brain activity. Um. The uh, what I'm referring to

0:29:26.440 --> 0:29:30.600
<v Speaker 1>actually is a study that is from two thousand eleven UM.

0:29:30.600 --> 0:29:34.160
<v Speaker 1>It was published in Science. It's called Perceptual Learning Incepted

0:29:34.680 --> 0:29:40.080
<v Speaker 1>by decoded fMRI I neurofeedback without stimulus presentation. Now, if

0:29:40.200 --> 0:29:45.880
<v Speaker 1>you read about this study in lots of popular science blogs,

0:29:46.000 --> 0:29:48.680
<v Speaker 1>blogs places like that, a lot of what the they

0:29:48.720 --> 0:29:51.920
<v Speaker 1>touted it as like, you know, this is the matrix, right,

0:29:51.960 --> 0:29:54.680
<v Speaker 1>This is where we're beaming information directly into someone's brain

0:29:54.680 --> 0:29:57.320
<v Speaker 1>and they don't have to have any connection to it whatsoever,

0:29:57.360 --> 0:29:59.800
<v Speaker 1>and then they're experts in it. Well, no, it's not

0:30:00.080 --> 0:30:03.680
<v Speaker 1>it's not that, but it is really cool. Okay, okay,

0:30:03.720 --> 0:30:07.360
<v Speaker 1>it's not beaming information into your brain. But it does

0:30:07.480 --> 0:30:10.400
<v Speaker 1>represent a step in the direction of something kind of

0:30:10.480 --> 0:30:14.040
<v Speaker 1>like automatic learning, like what you know, so that you

0:30:14.080 --> 0:30:19.040
<v Speaker 1>can learn and practice a skill through through subtle or

0:30:19.120 --> 0:30:24.920
<v Speaker 1>automatic means. And you're squinting, Did I just want to

0:30:24.920 --> 0:30:28.560
<v Speaker 1>know more? Okay, I'm trying to work this out in

0:30:28.600 --> 0:30:30.880
<v Speaker 1>my brain, but I need you to explain it to me. Okay,

0:30:30.920 --> 0:30:34.120
<v Speaker 1>Well it started. The study started as part of this

0:30:34.240 --> 0:30:38.600
<v Speaker 1>debate about um, the adult plasticity of the human brain. Sure,

0:30:38.720 --> 0:30:41.280
<v Speaker 1>what what is that? What would that mean? Adult plasticity. Well,

0:30:41.560 --> 0:30:45.960
<v Speaker 1>there's there's been a controversy about how certain regions of

0:30:46.000 --> 0:30:49.280
<v Speaker 1>the brain can change past a certain age, and for

0:30:49.360 --> 0:30:51.240
<v Speaker 1>a long time there was a belief that the visual

0:30:51.280 --> 0:30:54.800
<v Speaker 1>cortex of the brain after a certain age, say maybe

0:30:54.800 --> 0:30:57.760
<v Speaker 1>like a year old or something like that, just couldn't

0:30:57.840 --> 0:31:00.400
<v Speaker 1>change much. It was not very plastic. This is similar

0:31:00.440 --> 0:31:03.480
<v Speaker 1>to that idea that it's very easy for a child

0:31:03.560 --> 0:31:06.600
<v Speaker 1>to learn another language, but it gets increasingly difficult for

0:31:06.640 --> 0:31:10.760
<v Speaker 1>adults to do that. Yes, exactly, UM okay. So you've

0:31:10.760 --> 0:31:14.600
<v Speaker 1>got that going on, and these people in this study

0:31:15.040 --> 0:31:18.680
<v Speaker 1>decided to test, well, maybe we can cause changes in

0:31:19.000 --> 0:31:22.040
<v Speaker 1>early visual areas of the brain. The early visual area

0:31:22.080 --> 0:31:26.040
<v Speaker 1>is part of the visual cortex and it controls different

0:31:26.120 --> 0:31:29.400
<v Speaker 1>visual processes in the brain. So one thing that people

0:31:29.480 --> 0:31:32.840
<v Speaker 1>used to test this is what's called is visual perceptual

0:31:32.960 --> 0:31:37.239
<v Speaker 1>learning UM, and that means like learning how to do

0:31:37.360 --> 0:31:42.600
<v Speaker 1>a visual task better UM by repetition. So let's say

0:31:42.640 --> 0:31:47.040
<v Speaker 1>you want to uh be able to look at um,

0:31:47.200 --> 0:31:50.120
<v Speaker 1>something in a room at a fixed position and then

0:31:50.200 --> 0:31:53.560
<v Speaker 1>look away and then look back. That's the example I read, UM,

0:31:53.600 --> 0:31:56.200
<v Speaker 1>and be able to immediately move your eyes to where

0:31:56.280 --> 0:32:00.400
<v Speaker 1>that object should um. Said that I was the one

0:32:00.440 --> 0:32:04.040
<v Speaker 1>example I read. But yeah, it's stuff like that, UM okay.

0:32:04.080 --> 0:32:07.080
<v Speaker 1>So the study went like this. They took some people

0:32:07.800 --> 0:32:11.000
<v Speaker 1>and they put them in an fm R I machine

0:32:11.600 --> 0:32:14.400
<v Speaker 1>and they had them look at a visual pattern which

0:32:14.440 --> 0:32:16.800
<v Speaker 1>was it was a sort of a circle with a

0:32:16.880 --> 0:32:21.320
<v Speaker 1>series of diagonal lines had different degrees of orientation. And

0:32:21.360 --> 0:32:23.520
<v Speaker 1>all they did was they had the people lay in

0:32:24.680 --> 0:32:27.280
<v Speaker 1>the f M r I, and it scanned the fm

0:32:27.400 --> 0:32:29.239
<v Speaker 1>R I, of course scans the blood flow and your

0:32:29.280 --> 0:32:31.960
<v Speaker 1>brain in real time, so it can map brain activity.

0:32:32.520 --> 0:32:34.680
<v Speaker 1>And they scanned if our f m R I while

0:32:34.840 --> 0:32:38.360
<v Speaker 1>people looked at these visual patterns. And then they took

0:32:38.400 --> 0:32:40.080
<v Speaker 1>the people out of the machines and sent them home.

0:32:41.280 --> 0:32:44.720
<v Speaker 1>Then they turned that data from the fm R I

0:32:45.200 --> 0:32:49.480
<v Speaker 1>into a picture of brain activity. They said, okay, this

0:32:49.560 --> 0:32:52.120
<v Speaker 1>is what it looks like when the brain is looking

0:32:52.160 --> 0:32:56.160
<v Speaker 1>at these diagonal lines. All right. They brought the people

0:32:56.200 --> 0:32:59.840
<v Speaker 1>back to the lab, didn't show them anything else. They said,

0:33:00.160 --> 0:33:04.240
<v Speaker 1>here's a disk on a screen back in the fMRI machine.

0:33:04.280 --> 0:33:07.440
<v Speaker 1>Of course, look at this disk and make it get bigger.

0:33:08.160 --> 0:33:10.080
<v Speaker 1>In fact, I want to find the exact words. It's

0:33:10.080 --> 0:33:12.760
<v Speaker 1>funny the quote in here is. Uh. They told them

0:33:12.760 --> 0:33:17.240
<v Speaker 1>to quote somehow regulate activity in the posterior part of

0:33:17.280 --> 0:33:20.720
<v Speaker 1>the brain to make the solid green disk that was

0:33:20.760 --> 0:33:25.640
<v Speaker 1>presented six seconds later as large as possible. How would

0:33:25.640 --> 0:33:28.640
<v Speaker 1>you do that? So imagine you're sitting there staring at

0:33:28.640 --> 0:33:31.160
<v Speaker 1>a computer screen and they're telling you to look at

0:33:31.240 --> 0:33:34.959
<v Speaker 1>something on the screen and make it bigger. Uh, well

0:33:35.040 --> 0:33:37.200
<v Speaker 1>you have This is going to sound like that scene

0:33:37.200 --> 0:33:45.080
<v Speaker 1>in Ghostbusters couple of lines UM. So the people had

0:33:45.120 --> 0:33:47.120
<v Speaker 1>no idea how to do this well. It turned out

0:33:47.200 --> 0:33:49.760
<v Speaker 1>there was a secret way of doing it, and the

0:33:49.840 --> 0:33:53.360
<v Speaker 1>secret way was for them to reproduce the patterns in

0:33:53.400 --> 0:33:57.080
<v Speaker 1>the early visual area of the brain that had existed

0:33:57.080 --> 0:34:00.160
<v Speaker 1>when they were looking at the diagonal lines earlier. But

0:34:00.200 --> 0:34:03.160
<v Speaker 1>they had no knowledge of this um and they were

0:34:03.160 --> 0:34:06.080
<v Speaker 1>given incentives. They were given a monetary incentive too, is

0:34:06.160 --> 0:34:08.120
<v Speaker 1>the bigger you can make the disc, the more more

0:34:08.160 --> 0:34:13.080
<v Speaker 1>pay um. And it turned out over time training with

0:34:13.120 --> 0:34:17.880
<v Speaker 1>this FMR neurofeedback, people got better at making the disc bigger.

0:34:18.200 --> 0:34:22.439
<v Speaker 1>So they were essentially remembering they they were They were

0:34:22.520 --> 0:34:26.839
<v Speaker 1>learning something without knowing they were learning it interesting. Interesting.

0:34:27.480 --> 0:34:32.080
<v Speaker 1>The neurofeedback was teaching them to enlarge the disk by

0:34:32.120 --> 0:34:35.359
<v Speaker 1>having a thought that they didn't realize was connected to

0:34:35.400 --> 0:34:39.640
<v Speaker 1>the enlarging of the disk. And so one thing there

0:34:39.719 --> 0:34:42.040
<v Speaker 1>was a good right up of what happened in this

0:34:42.080 --> 0:34:45.799
<v Speaker 1>experiment and Discover magazine, and one thing that pointed out

0:34:46.160 --> 0:34:50.719
<v Speaker 1>was that UM, so all that happened here was some

0:34:50.800 --> 0:34:54.480
<v Speaker 1>diagonal lines. That was the queue, that was what generated

0:34:54.480 --> 0:34:57.120
<v Speaker 1>the brain patterns that would enlarge the disk. But you

0:34:57.160 --> 0:35:00.400
<v Speaker 1>could perform this same type of experiment with thing that

0:35:00.520 --> 0:35:03.799
<v Speaker 1>was a lot more meaningful than diagonal lines. To say,

0:35:03.840 --> 0:35:06.480
<v Speaker 1>what if the brain pattern you were looking for was

0:35:06.520 --> 0:35:11.319
<v Speaker 1>associated with a task that required practice in order to

0:35:11.520 --> 0:35:15.040
<v Speaker 1>like say, learning kung fu in the matrix, and you

0:35:15.080 --> 0:35:20.920
<v Speaker 1>could induce mental training just by having somebody play this

0:35:21.000 --> 0:35:24.080
<v Speaker 1>game with enlarging This are similar to wax on wax off.

0:35:24.120 --> 0:35:27.120
<v Speaker 1>You don't know what you're doing, but you're actually learning skill.

0:35:27.320 --> 0:35:31.520
<v Speaker 1>Instead of teaching muscle memory, you're teaching memory memory. Interesting.

0:35:31.920 --> 0:35:36.160
<v Speaker 1>So the question here I have, and obviously this is

0:35:36.280 --> 0:35:40.200
<v Speaker 1>this is very preliminary and it's not anything close to

0:35:40.320 --> 0:35:44.000
<v Speaker 1>the matrix style yet. Uh. And that's you know, we

0:35:44.040 --> 0:35:45.759
<v Speaker 1>don't even know that we'll ever get to a point

0:35:45.800 --> 0:35:49.640
<v Speaker 1>where the matrix style will ever be at all realistic.

0:35:50.200 --> 0:35:53.799
<v Speaker 1>But one other discussion I wanted to have was that

0:35:54.640 --> 0:35:56.880
<v Speaker 1>this idea of it, this is something I think that

0:35:56.880 --> 0:36:00.239
<v Speaker 1>that sometimes administrators and politicians kind of fallen to the

0:36:00.280 --> 0:36:05.440
<v Speaker 1>trap they think about technology being the answer automatically, and

0:36:05.520 --> 0:36:08.839
<v Speaker 1>they don't think about the actual application of that technology.

0:36:08.880 --> 0:36:12.480
<v Speaker 1>This is why I think teachers and librarians are indispensable, really,

0:36:12.840 --> 0:36:17.440
<v Speaker 1>because if you just throw assets at students, that doesn't

0:36:17.440 --> 0:36:20.399
<v Speaker 1>necessarily mean that they will be meaningful or useful at all.

0:36:20.520 --> 0:36:22.839
<v Speaker 1>So the example I gave was, let's say that we've

0:36:22.880 --> 0:36:27.439
<v Speaker 1>even reached the point where we can just download Internet. Yeah,

0:36:27.480 --> 0:36:31.160
<v Speaker 1>we can somehow impart information instantly from one source into

0:36:31.200 --> 0:36:34.120
<v Speaker 1>your brain. So does that mean that you would actually

0:36:34.200 --> 0:36:37.680
<v Speaker 1>quote unquote no stuff or would it just means that

0:36:37.719 --> 0:36:41.680
<v Speaker 1>you have access to information now and at least, I mean,

0:36:41.719 --> 0:36:44.239
<v Speaker 1>of course, without without this reality being around us. We

0:36:44.239 --> 0:36:46.480
<v Speaker 1>can't say for sure because we can't actually test it,

0:36:47.080 --> 0:36:49.319
<v Speaker 1>but I would suspect it would be very similar to

0:36:49.760 --> 0:36:53.400
<v Speaker 1>having access to the internet. You know, on a computer

0:36:53.480 --> 0:36:55.840
<v Speaker 1>or on a smartphone that I can look up the

0:36:55.920 --> 0:36:58.160
<v Speaker 1>answer to any given question. But it doesn't mean that

0:36:58.239 --> 0:37:01.160
<v Speaker 1>I know that answer right or you know, or being

0:37:01.160 --> 0:37:04.480
<v Speaker 1>able to the difference between being able to um perform

0:37:04.560 --> 0:37:09.600
<v Speaker 1>and intricate kung fu routine versus being able to say, well,

0:37:09.760 --> 0:37:11.920
<v Speaker 1>in order to do that, you combine this move with

0:37:11.960 --> 0:37:14.600
<v Speaker 1>this move, and this is what those moves look like. Yeah,

0:37:14.680 --> 0:37:17.799
<v Speaker 1>well that's part of the first part of this is

0:37:17.840 --> 0:37:21.080
<v Speaker 1>that I think knowledge is more complex than we give

0:37:21.120 --> 0:37:23.960
<v Speaker 1>it credit for. Uh. And the example I was thinking

0:37:23.960 --> 0:37:27.440
<v Speaker 1>about was, um, so imagine you are in the matrix

0:37:27.480 --> 0:37:31.879
<v Speaker 1>world and you can just beam data directly into your brain.

0:37:31.960 --> 0:37:35.239
<v Speaker 1>You could say, download a book into your brain. Say

0:37:35.280 --> 0:37:38.520
<v Speaker 1>you download a Russian to English dictionary. You're an English speaker,

0:37:39.280 --> 0:37:45.640
<v Speaker 1>Do you now speak Russian? I would say now. I

0:37:45.640 --> 0:37:49.000
<v Speaker 1>think a simplistic understanding would say like, oh, yeah, okay,

0:37:49.040 --> 0:37:51.799
<v Speaker 1>you can just download Russian to English dictionary. Bam, I

0:37:51.840 --> 0:37:55.360
<v Speaker 1>know Russian. But I don't think it's that simple because

0:37:55.440 --> 0:37:59.839
<v Speaker 1>I think to have fluency in Russian, there's also part

0:37:59.840 --> 0:38:02.880
<v Speaker 1>of the brain that needs to have the experience of

0:38:02.920 --> 0:38:05.760
<v Speaker 1>speaking it, not just to know what all the words

0:38:05.880 --> 0:38:08.080
<v Speaker 1>mean right right, Well, there's there there's an element of

0:38:08.120 --> 0:38:09.919
<v Speaker 1>knowing what the words mean, there's an element of knowing

0:38:10.000 --> 0:38:13.120
<v Speaker 1>the syntax that the grammar, the structure of how to

0:38:13.200 --> 0:38:15.759
<v Speaker 1>put those words into use, and then there's a yeah,

0:38:16.040 --> 0:38:18.359
<v Speaker 1>you know, is there another dimension to it? Is there

0:38:18.360 --> 0:38:22.640
<v Speaker 1>an actual practiceable thing that we could digitally reproduce or

0:38:22.760 --> 0:38:24.520
<v Speaker 1>or not. I mean, and you know, we were talking

0:38:24.520 --> 0:38:28.160
<v Speaker 1>about a little bit earlier, and I think that it's

0:38:28.160 --> 0:38:31.320
<v Speaker 1>probably similar to the difference between UM taking a course

0:38:31.360 --> 0:38:33.320
<v Speaker 1>in college, Like, for example, I took a couple of

0:38:33.320 --> 0:38:36.520
<v Speaker 1>semesters of Japanese and UM so I I you know,

0:38:37.000 --> 0:38:39.400
<v Speaker 1>learned the alphabets. I learned a bunch of vocabulary. I

0:38:39.440 --> 0:38:42.280
<v Speaker 1>technically learned the syntax. If you asked me to speak anything,

0:38:42.960 --> 0:38:45.520
<v Speaker 1>I I. The only thing I've retained from it is

0:38:45.520 --> 0:38:48.880
<v Speaker 1>how to apologize for my terrible Japanese. What does that

0:38:48.920 --> 0:38:57.200
<v Speaker 1>sound like? Go a nut that you don't touch my mustache?

0:38:57.920 --> 0:39:02.320
<v Speaker 1>So yeah, I mean the point being that that knowledge

0:39:03.239 --> 0:39:06.000
<v Speaker 1>is very complex, and then maybe if we ever do

0:39:06.120 --> 0:39:08.520
<v Speaker 1>reach that point, we will be able to actually create

0:39:08.560 --> 0:39:13.560
<v Speaker 1>those neural pathways, that that complex series of pathways that

0:39:13.600 --> 0:39:17.560
<v Speaker 1>would allow us to not just know something, but to

0:39:17.640 --> 0:39:19.880
<v Speaker 1>understand it, to comprehend it, and to be able to

0:39:20.000 --> 0:39:23.680
<v Speaker 1>associate different ideas together. That's one of the amazing things

0:39:23.680 --> 0:39:26.760
<v Speaker 1>I think there that we can say about the human

0:39:26.760 --> 0:39:30.279
<v Speaker 1>brain is the fact that we can associate things that

0:39:30.320 --> 0:39:33.240
<v Speaker 1>were not associated before and come up with new ideas

0:39:33.239 --> 0:39:37.560
<v Speaker 1>and new information and innovation, things that didn't exist until

0:39:37.680 --> 0:39:40.640
<v Speaker 1>we thought them up. And that you know, we can't

0:39:40.680 --> 0:39:44.840
<v Speaker 1>create matter or energy, we can't destroy it either, but

0:39:44.920 --> 0:39:48.400
<v Speaker 1>we can create ideas, which is kind of magical in

0:39:48.440 --> 0:39:51.600
<v Speaker 1>a way. And I say magical only because we don't

0:39:51.719 --> 0:39:55.480
<v Speaker 1>understand the form of science significantly advanced enough that it

0:39:55.520 --> 0:39:59.360
<v Speaker 1>seems like, yeah, it's just biological science and not technology

0:39:59.400 --> 0:40:01.719
<v Speaker 1>in this case, but it really is kind of amazing

0:40:01.719 --> 0:40:04.600
<v Speaker 1>when you think about it. And uh, and so whether

0:40:04.680 --> 0:40:08.640
<v Speaker 1>we'll ever be able to achieve the same thing technologically

0:40:08.840 --> 0:40:11.800
<v Speaker 1>is another question. I think that if it is something

0:40:11.840 --> 0:40:15.960
<v Speaker 1>we can do, it's pretty far off into the future

0:40:16.080 --> 0:40:20.440
<v Speaker 1>because we don't understand enough about ourselves to be able

0:40:20.480 --> 0:40:24.080
<v Speaker 1>to leverage it, even if the technology is sophisticate enough

0:40:24.120 --> 0:40:27.239
<v Speaker 1>to do it. Uh. Although that being said, there are

0:40:27.239 --> 0:40:29.200
<v Speaker 1>those who argue that if we ever reach a point

0:40:29.200 --> 0:40:33.799
<v Speaker 1>where we can uh completely simulate a brain on on

0:40:33.880 --> 0:40:37.400
<v Speaker 1>a meaningful scale at a meaningful time frame, it doesn't

0:40:37.400 --> 0:40:40.640
<v Speaker 1>matter if we don't understand everything yet, because that thing

0:40:40.800 --> 0:40:44.160
<v Speaker 1>may very well gain its own consciousness and self awareness.

0:40:44.760 --> 0:40:47.000
<v Speaker 1>And the fact that we don't understand everything that's going

0:40:47.000 --> 0:40:48.880
<v Speaker 1>on in our own heads doesn't mean that we won't

0:40:48.880 --> 0:40:51.399
<v Speaker 1>be able to create it in some other form, which

0:40:51.440 --> 0:40:54.520
<v Speaker 1>is an interesting point. But I think artificial intelligence is

0:40:54.560 --> 0:40:57.920
<v Speaker 1>something we can say for another show, well what about it?

0:40:57.960 --> 0:40:59.560
<v Speaker 1>Do you have anything else you want to add before

0:40:59.560 --> 0:41:03.919
<v Speaker 1>we sign off? That's about all I got the overwhelming

0:41:03.920 --> 0:41:06.000
<v Speaker 1>response from Joe as he just stares at me with

0:41:06.040 --> 0:41:08.200
<v Speaker 1>his dead eyes tells me that it's time to conclude

0:41:08.239 --> 0:41:11.719
<v Speaker 1>the episode. I was telepathically telling you that, oh got it,

0:41:11.880 --> 0:41:13.600
<v Speaker 1>got it. See that's the problem is that I just

0:41:13.800 --> 0:41:15.920
<v Speaker 1>was beaming the knowledge into your brain. See. The problem

0:41:15.920 --> 0:41:18.080
<v Speaker 1>is outside the matrix, someone was moving a lead shield

0:41:18.080 --> 0:41:21.360
<v Speaker 1>between us, and then it just bounced right off. Guys,

0:41:21.480 --> 0:41:24.920
<v Speaker 1>thank you so much for listening. If you have any comments, questions,

0:41:24.920 --> 0:41:27.319
<v Speaker 1>suggestions for future shows, please get in touch with us

0:41:27.600 --> 0:41:30.279
<v Speaker 1>our email address. That's the word I was looking for,

0:41:30.520 --> 0:41:33.880
<v Speaker 1>is FW thinking at Discovery dot com. We'll go to

0:41:34.000 --> 0:41:36.200
<v Speaker 1>fw thinking dot com. That's where we have all the blogs,

0:41:36.239 --> 0:41:39.000
<v Speaker 1>the podcasts, we've got the videos, and we have links

0:41:39.040 --> 0:41:40.640
<v Speaker 1>to our social media so you can get in touch

0:41:40.680 --> 0:41:47.520
<v Speaker 1>with us there. And until then, we say Sionara. For

0:41:47.680 --> 0:41:50.360
<v Speaker 1>more on this topic and the future of technology. Is

0:41:50.360 --> 0:42:03.400
<v Speaker 1>it forward thinking dot com brought to you by Toyota.

0:42:03.840 --> 0:42:04.920
<v Speaker 1>Let's go places.