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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn the stuff they don't want you to know.

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Speaker 2: Hello, welcome back to the show. My name is Matt,

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Speaker 2: my name is Noel.

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Speaker 3: They call me Ben. We're joined as always with our

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Speaker 3: super producer Bauld, Mission Control, DECANDT. Most importantly, you are you.

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Speaker 3: You are here. That makes this the stuff they don't

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Speaker 3: want you to know. Folks, friends, neighbors, country bots, lend

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Speaker 3: us your ears. Have you ever felt like the game

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Speaker 3: of life is just too much? Also? Do you remember

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Speaker 3: that board game Life.

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Speaker 4: Just too much?

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Speaker 5: I could never I could never get to the a

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Speaker 5: is That's the one where you have the little cars

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Speaker 5: you keep stacking weird stuff on top of of you

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Speaker 5: have a station wagon.

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Speaker 3: You get married, you fill up the little slots and

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Speaker 3: each person's a peg and you fill them up in

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Speaker 3: the station wagon.

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Speaker 5: A little oversimplification of life, if you ask me, I

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Speaker 5: don't know that was never.

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Speaker 3: Yeah.

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Speaker 5: Also it seems to just kind of like overemphasize commercialism

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Speaker 5: and sort of this like faux American dream kind of thing.

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Speaker 3: Yeah. Yeah, also argue everybody has to get married, which

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Speaker 3: is not true. But you know, if you think about it,

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Speaker 3: wherever you are in life, if you're an adult, you

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Speaker 3: have pretty much several jobs. You've got your official career,

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Speaker 3: your occupation, whatever that may be, and then you've got

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Speaker 3: all this other stuff that doesn't pay you financially yet

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Speaker 3: remains necessary for survival chores. You have to clean the house, bills,

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Speaker 3: you have to pay the bills, hopefully, you can visit

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Speaker 3: a doctor, your parents, your family member. You've got obligations there.

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Speaker 3: Wouldn't it be great to have a little help with

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Speaker 3: all of this? Yes, we're excited about this.

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Speaker 2: Well, that's why, like marriage was is and was such

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Speaker 2: a thing, right because now you got two people doing

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Speaker 2: all the same stuff, like but dividing and conquering theoretically.

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Speaker 5: Yeah, I mean, the idea being that it makes you

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Speaker 5: each of your lives easier. If you want to just

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Speaker 5: break it down to the sheer kind of logistics of living,

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Speaker 5: you know that that is a functional reason for marriage

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Speaker 5: to exist, though I would argue domestic partnership accomplishes the

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Speaker 5: same thing.

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Speaker 2: Oh yeah, no, one hundred percent. But that's why it's

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Speaker 2: been such a big thing, right, the family unit. And

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Speaker 2: then you can pump out a whole bunch of kids

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Speaker 2: that can work the farm for you free l Yeah,

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Speaker 2: I mean that was.

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Speaker 5: Round up all those orphans and shoot them all to

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Speaker 5: the farm.

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Speaker 3: Raise your own butler. You know what I mean. Put

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Speaker 3: the time and you're absolutely right. And for centuries, science

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Speaker 3: fiction writers in particular have imagined this new world where

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Speaker 3: technology provides new, astonishing answers to this question. I am

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Speaker 3: one person, I have so many things to do. I

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Speaker 3: need help. Who can help me? And our question this

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Speaker 3: evening is how close are we to this idea of

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Speaker 3: robot servants? Perhaps more importantly, is this a world that

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Speaker 3: we would want to live in? Here are the facts,

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Speaker 3: all right? What's a robot? We've talked about this in

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Speaker 3: some related episodes, but just like a quick and dirty primer,

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Speaker 3: what do we mean a robot? Robot?

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Speaker 5: I mean, you know, we certainly see it through antiquity,

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Speaker 5: like these automatons and kind of clockwork men or whatever

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Speaker 5: that I believe the chess playing robot or automaton was

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Speaker 5: a big one historically speaking, but mechanical term, that's right.

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Speaker 4: The term, though, is a little more recent.

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Speaker 5: It comes from the nineteen twenties, from a play of

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Speaker 5: all places. And I'm sure we've been through this before,

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Speaker 5: but I think it's definitely worth a catchup. Are you

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Speaker 5: are rawsoms Universal Robots by Corel Kappik?

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Speaker 3: Yeah, and robot today. It's a huge group term, just

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Speaker 3: as varied as human beings, I would argue, more varied

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Speaker 3: than the human species. Not all robots are gonna do

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Speaker 3: the same task, not all of them are gonna look

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Speaker 3: the same. You know, no one would say the curiosity

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Speaker 3: rover is the same thing as a factory line robo

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Speaker 3: worker and auto plants. But to your point, Noel, the

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Speaker 3: etymology gets really interesting. Our playwright that you mentioned got

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Speaker 3: the word robot. It enters English in nineteen twenty three

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Speaker 3: as a translation in this play. But our playwright gets

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Speaker 3: the word robot from a check word robotic robotnic means

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Speaker 3: forced labor.

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Speaker 2: Yeay, just like the doctor. I guess, yeah, doctor robot.

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Speaker 5: Yeah, man, he and he was all about creating for slaborers,

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Speaker 5: usually in the form.

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Speaker 4: Of weird little robot warriors.

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Speaker 5: I guess that we're just trying to kill Sonic and

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Speaker 5: Tails and Knuckles and whoever else is part of their crew.

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Speaker 5: But I mean, you know, even the word robot like

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Speaker 5: in English kind of parlance sometimes refers to like a microwave,

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Speaker 5: you know, like robot cooking. I mean, just the it's

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Speaker 5: really funny, just the idea of automatic something being done

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Speaker 5: for you, a task being done automatically, robo whatever, you know.

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Speaker 3: I also, it reminds me these languages are so interesting.

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Speaker 3: It reminds me of the term for pickup trucks that

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Speaker 3: have machine guns mounted on them. In parts of East Africa,

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Speaker 3: they're called technicals.

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Speaker 5: WHOA, I thought that was Like when you made the

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Speaker 5: really elaborate cake on a baking.

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Speaker 3: Show, they call it the technical technical challenge.

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Speaker 2: That's the one where they don't give you the exact

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Speaker 2: details on how to make.

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Speaker 5: That's your right, Yes, thank you, a great British baking show,

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Speaker 5: I got it, Yeah exactly. The technical is when you

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Speaker 5: get some vague recipe and you got to kind of like,

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Speaker 5: you know, show your chops by you know, muddling your

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Speaker 5: way through it.

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Speaker 4: Okay.

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Speaker 3: And this this term robot or robotic also arrives from

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Speaker 3: robota meaning force, labor, compulsory service, or drudgery. And if

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Speaker 3: you trace it further back, these words originate from some

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Speaker 3: iterations of old Slavic it ultimately comes from the phrase

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Speaker 3: rabu meaning slave makes you think, makes you think, well.

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Speaker 5: Yeah, especially when you start to think singularity and how

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Speaker 5: you know eventually when the robots become sentient, they're going

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Speaker 5: to resent all of that slave labor the creatures.

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Speaker 2: The reason we can get into it. But the phone

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Speaker 2: you're listening to this on is it a robot? Not really?

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Speaker 2: Maybe kind of? And is it your servant?

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Speaker 5: Well that becomes the question because robot doesn't mean the

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Speaker 5: same thing as a right, like.

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Speaker 3: An android's a kind of robot.

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Speaker 5: Yeah, but I think I don't know, Ben, What do

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Speaker 5: you think is a phone with all of the myriad

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Speaker 5: things that can do and with the personality that it

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Speaker 5: has via Siri or whatever, is it a robot? Does

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Speaker 5: it have to ambulate to be a robot?

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Speaker 3: No, it's a great question. The question is what do

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Speaker 3: we mean exactly so we know robot? What do we

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Speaker 3: mean by robots? Servant? Is it redundant? Is it like

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Speaker 3: saying ATM machine or vend number? When you think about it,

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Speaker 3: you'll already have a ton of robot servants. I would

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Speaker 3: argue that smart thermostats, home security systems, they could be robots.

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Speaker 3: The idea of a telephone or a smartphone. Excuse me.

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Speaker 3: You could also argue modern cars are robots because what

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Speaker 3: they're doing essentially is replacing the drudgery of certain human labor. Right,

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Speaker 3: you don't have to try to run sixty miles. You

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Speaker 3: have a car that will help you accomplish that task.

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Speaker 3: You don't have to regulate the temperature in your home.

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Speaker 3: You have a thermostat that will help you. It doesn't

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Speaker 3: have to be ambulance works to your question, and your phone,

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Speaker 3: will you know? Now you don't have to write a

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Speaker 3: letter and wait three months for the reply when you

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Speaker 3: open the envelope and it just says, lol.

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Speaker 2: Yeah, you don't have to tell anyone the things you

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Speaker 2: want to buy or put on your shopping list.

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Speaker 5: I mean, it makes me think back to even pre iPhone,

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Speaker 5: where you had the BlackBerry and that first kind of

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Speaker 5: round of what we're called personal data assistance. I mean,

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Speaker 5: it really is, that's the earliest days of the stuff

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Speaker 5: kind of finding a niche in our lives.

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Speaker 3: And the you know, we can say in a complimentary

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Speaker 3: manner that it is astonishing how quickly the humans have

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Speaker 3: adopted breakthroughs in technology. Right, It's it's nuts too to

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Speaker 3: consider that this idea household robots, household robotics very much

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Speaker 3: in its infancy still, and no one, honestly, no one

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Speaker 3: is sure how this will all shake out. If you

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Speaker 3: have a child tonight, like if you or your partner

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Speaker 3: gives Earth this evening. First off, thanks for listening to

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Speaker 3: the show. But secondly, eighteen years from now, the world

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Speaker 3: that kid meets is going to be so different from

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Speaker 3: twenty twenty four, particularly in terms of robotic assistance.

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Speaker 2: Yeah, do you think you guys think it'll be like

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Speaker 2: twenty sixty two with Jane, George, Judy and Elroy oh

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Speaker 2: Man Rosie.

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Speaker 4: Time, I was too, And I'm gonna go ahead and

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Speaker 4: just drop it now.

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Speaker 5: When we're starting to get into the conversation about robot

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Speaker 5: assistance and the idea of what can go wrong, there's

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Speaker 5: an incredible episode of The Jets Senes where Rosie glitches

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Speaker 5: out and starts repeating a place for everything and everything

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Speaker 5: in its place and just starts freaking out and putting

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Speaker 5: things like over organizing and causing mayhem and just totally

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Speaker 5: fritzing out.

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Speaker 4: And that there. What was it like in the seventies,

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Speaker 4: I guess it really is.

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Speaker 5: To your point, been about science fiction predicting what could

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Speaker 5: go wrong with these kind of household servants.

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Speaker 3: Yeah, assuming that there is no civilization ending event, the

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Speaker 3: current pace of research and manufacturing, especially economy of scale,

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Speaker 3: does indicate that we will eventually have AI assistance PDAs

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Speaker 3: that make your modern iPhone look like two rusty soup

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Speaker 3: cans connected by old string, you know, like that's the level,

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Speaker 3: you know, think about it. It wasn't too long ago that

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Speaker 3: people landed on the moon, hot take. Can I say that?

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Speaker 4: Can I say that peratively to the greater span of history?

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Speaker 5: Absolutely, I'm sure it could be like one of those

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Speaker 5: memes where we say, I want to feel old, Like

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Speaker 5: the eighties are now the same distance from where we

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Speaker 5: are in modern history as the fifties were from the

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Speaker 5: eighties or whatever. You know, it's like, yeah, bonkers, the

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Speaker 5: way time just compresses like that?

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Speaker 2: Or is anyone actually land it on the moon, you guys?

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Speaker 3: Or is anyone actually here? We know the we're here

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Speaker 3: because we did hang out in personally.

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Speaker 4: Oh yeah, yeah.

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Speaker 5: We have to check in occasionally to make sure we

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Speaker 5: have not become ephemeral, right, we.

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Speaker 3: Have become strange. It's a great question, you know, this

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Speaker 3: is for being positive and Ted talking about it. This

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Speaker 3: is an exciting thing and it can save lives. And yes,

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Speaker 3: robots have also killed people already, but we will see

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Speaker 3: for instance, home care on a level that simply could

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Speaker 3: not have existed before. A lot of people, especially in

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Speaker 3: countries with aging populations like Japan for instance, and declining

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Speaker 3: birth rates, they need some kind of affordable in house

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Speaker 3: elderly care. So this can not only save lives, but

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Speaker 3: it can extend quality of life for people who need help.

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Speaker 2: Oh buddy, And there are so many companies out there

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Speaker 2: trying to build that exact thing, Nightmare robot to take

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Speaker 2: care of us when we're in our eighties.

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Speaker 3: If you have mobility issues, right yeah, or if if

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Speaker 3: you're on board with a subscription model as we'll see, right,

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Speaker 3: because you don't have to you don't have to own it.

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Speaker 3: You just have to listen to the ads.

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Speaker 2: Did you guys see any of the price tags or

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Speaker 2: any of the robots we're gonna talk about today. We

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Speaker 2: don't have to spoil what they are. If you found any,

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Speaker 2: it's only found one.

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Speaker 4: It's car prices roughly right or more even I.

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Speaker 2: Don't we'll talk about. But the one that I found

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Speaker 2: the actual all in price was astounding, and we'll mention that, Yeah, but.

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Speaker 5: I would I would argue that the business model, big

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Speaker 5: picture wise, would have them be around car prices.

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Speaker 2: Well, it's like, uh, from what I saw is basically

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Speaker 2: you your down payment is the price of a small vehicle,

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Speaker 2: and then you end up paying the price of a

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Speaker 2: large mansion over the course of term of owning. It

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Speaker 2: almost like yeah.

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Speaker 5: But that's early adopter stuff. I mean, that's like, you know,

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Speaker 5: you got to someone's got to walk so that the

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Speaker 5: rest of us can run.

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Speaker 3: Speaking of early adopters, this is the question. You know,

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Speaker 3: we always see these utopian ted talkie versions of the

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Speaker 3: future of robots in your home. Everything is shiny and wonderful,

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Speaker 3: and you're gonna just have the best of all times.

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Speaker 3: You'll be happy as peaches, you know, clamorous as clams.

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Speaker 3: But how close are we to this kind of situation?

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Speaker 3: Should we be concerned? It is a tough question, raising

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Speaker 3: excellent points here. History does show us that disruptive innovations

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Speaker 3: often begin in limited demographics. Early adopters, you know, the

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Speaker 3: suzerains of the tech world, the financial elite, and as

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Speaker 3: they become more comfortable with robots in their homes and

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Speaker 3: in their heads. They'll want more capability. They will pay

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Speaker 3: these companies more money. This will enable the companies to

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Speaker 3: manufacture more stuff, and once that happens, economy of scale,

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Speaker 3: this is where you get more affordable versions of the toys.

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Speaker 3: This is where you end up thinking about it the

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Speaker 3: way you would think about buying a car.

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Speaker 4: Yes, oh for sure.

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Speaker 5: I mean look back at like the feature set that

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Speaker 5: was available on the original iPhone, and how comparatively it's

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Speaker 5: just absolutely rudimentary, almost like that to ten cans in

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Speaker 5: a string comparison you were talking about.

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Speaker 4: Because but the early adopters.

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Speaker 5: Of that and the fact that there was nothing else

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Speaker 5: like it at the time, that's what paid for the

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Speaker 5: continued innovation. Then you have to think about things like

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Speaker 5: planned obsolescence and you know, paying into the system and

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Speaker 5: being totally okay with that. Honestly, the people that are

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Speaker 5: the real nerds and tech heads are largely okay with

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Speaker 5: that model.

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Speaker 3: Yeah, yeah, largely. I mean, well, it won't all be

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Speaker 3: you know, warm fuzzy hugs and angel farts. We'll see

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Speaker 3: a rise of other things concurrent with these devices, things

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Speaker 3: that raise serious questions, constant monitoring, endless leveraging of person

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Speaker 3: interpersonal data. Predictive attempts will have a huge and unseen,

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Speaker 3: often unseemly impact on people's lives. So again, how close

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Speaker 3: are we really? Is it a jam tomorrow? Never jammed?

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Speaker 3: Today's situation? Are we on the precipice of something? Should

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Speaker 3: we be concerned? Yes, here's where it gets crazy. Slight

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Speaker 3: spoiler there, Yes you should be concerned. Yes, we are

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Speaker 3: close in some ways, but maybe not in others. Because

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Speaker 3: you know, we mentioned the Jetsons earlier. We'll get to

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Speaker 3: the more sinister stuff and later tonight. But the Jetsons.

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Speaker 3: Let's talk a little bit about the Jetsons. Let's talk

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Speaker 3: a little bit about their robo housekeeper.

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Speaker 5: Yeah, Rosie, I mean, and you know, I just mentioned

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Speaker 5: that episode that has always stuck with me. Rosie is

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Speaker 5: basically a member of the family. She's an anthropomorphic creature

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Speaker 5: that is treated like family. And there are even, you know,

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Speaker 5: kind of cuddly episodes of the Jetsons where the gangle

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Speaker 5: all bad together to help Rosie out because.

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Speaker 4: She's been so good to them and things like that.

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Speaker 5: But then there's the episode I was talking about where

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Speaker 5: she kind of goes nuts and almost becomes dangerous.

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Speaker 2: Yeah, but she's also a maid. She without hey, she

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Speaker 2: is there at all times, and she has red eyes,

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Speaker 2: which was a choice.

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Speaker 3: It was a choice, it was a purpose.

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Speaker 5: And if I'm sorry to keep hounding on it, but

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Speaker 5: if I'm not mistaken, on that episode, I'm talking about

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Speaker 5: the eyes turned slantways, kind of like angry eyes, and

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Speaker 5: it becomes this like, what is this creature that Rosie

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Speaker 5: has transformed into, our delightful robot helper has now become

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Speaker 5: something else, entirely sinister?

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Speaker 3: M h Yes, why weren't you happy being a servant?

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Speaker 3: It's it's a very strange implication. They're smart writing on

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Speaker 3: that show. And when we think about these things, we're

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Speaker 3: always sold these ideas of a world without works, a

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Speaker 3: world with seamless integration of everything with no problems. And

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Speaker 3: interestingly enough, in the Jetsons, they're still selling some quote

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Speaker 3: unquote family values that were arguably anachronistic by the time

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Speaker 3: the show was made. If we put all that aside,

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Speaker 3: we got to talk about we got to talk turkey,

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Speaker 3: because I know that all three of us have been

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Speaker 3: reading intensely about specific emergent robot technologies for the home.

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Speaker 3: How can you build these things? A lot of experts

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Speaker 3: are saying the issue with making it as our power.

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Speaker 3: Lauren would say, actual facts work is much more complicated

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Speaker 3: than the average person realizes.

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Speaker 2: Well, yeah, it's a it's not just the hardware, and

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Speaker 2: the hardware is extremely difficult to get right. Actuators that

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Speaker 2: are light enough to function in the ways that as

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Speaker 2: close as a human's body functions, right, that's at least

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Speaker 2: the goal, that's what you're trying to get because you

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Speaker 2: want them to perform tasks that we would do, but

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Speaker 2: now it's a robot doing them. Just to get the

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Speaker 2: hardware right is near impossible. And if you've if you've

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Speaker 2: been following along the way we have with iterations with

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Speaker 2: all these various companies including Tesla and Boston Dynamics, and

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Speaker 2: I mean there's so many ub techs, these huge companies

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Speaker 2: that have been spending years and years trying to innovate

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Speaker 2: just the way an arm will function and the way

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Speaker 2: a hand will be able to rotate and grasp without

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Speaker 2: doing things like crushing anything that it's trying to.

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Speaker 3: Touch something soft. The real analog capture now, just so

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Speaker 3: you know, folks is doorknobs.

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Speaker 4: Yeah, and eggs.

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Speaker 3: They're super tricky. Oh eggs. The egg test is tough.

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Speaker 3: I failed that.

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Speaker 5: One a few times, because you have to think, these

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Speaker 5: are these are you know, powerful machinees that can absolutely

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Speaker 5: crush things and and do demolition type work, but they

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Speaker 5: have to also be so delicate and nuanced in their

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Speaker 5: control that they can dial that back and have enough sensors,

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Speaker 5: you know, with enough level of nuance again to detect

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Speaker 5: that something is a certain type of object so that

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Speaker 5: it doesn't you know, apply too much pressure.

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Speaker 4: It's delicate dance.

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Speaker 2: It is what I always think about.

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Speaker 5: Guys.

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Speaker 2: Those are those early Boston Dynamics robots that were dogs,

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Speaker 2: Oh yeah, right, and spot I think is what they

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Speaker 2: ended up calling it. But early on it was like

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Speaker 2: the robot, the Boston Dynamics Dynamics dog, and just to

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Speaker 2: get to function, they had to have it hooked up

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Speaker 2: hardwired to its power source and to its controls and

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Speaker 2: all that other stuff just to get it to function.

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Speaker 2: And they eventually moved away from that and they were

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Speaker 2: able to you know, make the thing fully mobile with

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Speaker 2: improvements in the actual hardware. But then if you look

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Speaker 2: at the early iterations of their humanoid versions too, you

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Speaker 2: couldn't have a mobile humanoid robot because you couldn't give

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Speaker 2: it enough power for long enough to actually operate. And

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Speaker 2: if you could, then it would be so dang heavy.

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Speaker 2: What's it even do it? Can it even walk across

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Speaker 2: your floor without destroying it?

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Speaker 3: Right? Not to mention stairs, oh my, which is also

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Speaker 3: running into a platform issue. And we've sent a lot

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Speaker 3: of these videos to each other back and forth over

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Speaker 3: the years and read these papers, and we've made some

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Speaker 3: at times dystopian predictions. The points we're bringing up now

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Speaker 3: just the basic turkey talk of how these things would

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Speaker 3: work in production. We see a lot of professors who

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Speaker 3: share our opinions. Writing for The Conversation in twenty twenty two,

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Speaker 3: Professor A YOUNGA. Herrid Notes notes that people might be

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Speaker 3: a little bit optimistic still about how you would how

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Speaker 3: you would make a general purpose household robot. And there's

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Speaker 3: a great quote here that we'd love to share with you.

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Speaker 1: Yeah.

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Speaker 4: He says.

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Speaker 5: One major difference between digital and robotic device is that

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Speaker 5: household robots need to manipulate objects through physical contact.

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Speaker 4: To carry out their tasks.

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Speaker 5: They have to carry the plates, move the chairs, and

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Speaker 5: pick up dirty laundry and place it in the washer.

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Speaker 5: These operations require the robot to be able to handle fragile, soft,

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Speaker 5: and sometimes heavy objects with irregular shapes.

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Speaker 2: Yeah, and some of the state of the art robots

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Speaker 2: that are out there right now that you can't even

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Speaker 2: buy yet, but as a company you can buy it

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Speaker 2: for like research and stuff. They can carry up to

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Speaker 2: like forty five pounds, like forty five pounds. There's if

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Speaker 2: you've got a robotic human thing in your house, you

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Speaker 2: probably want it to be able to carry stuff that's

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Speaker 2: heavier than that, right, right.

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Speaker 3: And also, I don't know, I'd be careful with it

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Speaker 3: because if you're human, part of the reason that you

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Speaker 3: don't constantly break your body is because you have a

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Speaker 3: complex cartoons, complex network of response stimuli kind of things

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Speaker 3: coming at you constantly. There's there's a reason not to

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Speaker 3: get too dark with it, but there's reason certain drugs

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Speaker 3: make people appear to be capable of superhuman feats. The

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Speaker 3: part of their feedback system that is stopping them from

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Speaker 3: you know, breaking their arms or biting off their tongue

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Speaker 3: because your jaw is such a strong muscle in the

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Speaker 3: human those things. When those checks and balances are gone,

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Speaker 3: then mayhem ensues. So even with a robot that could

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Speaker 3: lift forty five pounds, if it doesn't have very specific

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Speaker 3: programming making it safe around humans, it can be a

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Speaker 3: recipe for disaster.

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Speaker 5: Oh it's like, I mean, The Boys TV show seems

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Speaker 5: to be a little bit divisive, but there is a

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Speaker 5: season where there's this young, you know, superhero who is

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Speaker 5: like doing these kind of like photo op things are

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Speaker 5: he's supposed to do like a fake rescue basically, but

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Speaker 5: he doesn't have control of his super strength and he

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Speaker 5: accidentally throws somebody into a wall and explodes their body.

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Speaker 5: I mean, that's what we're talking about here.

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Speaker 4: I mean, it's it's.

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Speaker 5: This level of power, the possibilities, there have to be

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Speaker 5: guardrails on it.

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Speaker 2: Well, the whole point of that is then, because we've

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Speaker 2: been talking about the hardware, right, Yeah, and what you're

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Speaker 2: to your point, Ben, it's what are the software control

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Speaker 2: mechanisms for this, and how re proof are they?

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Speaker 5: Yeah, and how foolproof and how uh you know, impervious

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Speaker 5: to hacking and whatever else?

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Speaker 3: How much can you pre program? Yeah, that's that's one

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Speaker 3: of the other issues with this generalized robot servant and

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Speaker 3: the home kind of question. Robots in a manufacturing environment.

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Speaker 3: And again, robot is just an artificial thing made to

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Speaker 3: do work. And we know the term artificial may not

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Speaker 3: age well, but we'll see. Robots in your factory lines

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Speaker 3: have a if they if you want to consider them alive.

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Speaker 3: They have a very strictly organized life. They have a

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Speaker 3: highly or organized sequence of task. I'm the guy who

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Speaker 3: puts the plate A on frame B. That is my life.

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Speaker 3: I didn't choose this existence, but I'm all about it.

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Speaker 3: That's the one thing I do well.

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Speaker 2: Yeah, And often it'll be an actuated arm or something

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Speaker 2: that is mobile the right. They can move around, can

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Speaker 2: reach over, grab a box, put it on a conveyor belt.

438
00:24:23,480 --> 00:24:24,920
Speaker 4: Everything's on rails literally.

439
00:24:25,320 --> 00:24:28,280
Speaker 2: Well, sometimes it is that some of them, some of

440
00:24:28,320 --> 00:24:34,280
Speaker 2: the new android humanoid like robots, do actually walk from

441
00:24:34,400 --> 00:24:38,880
Speaker 2: one side of this like delineated rectangle that they get

442
00:24:38,880 --> 00:24:41,160
Speaker 2: to operate in from one side, pick up a box

443
00:24:41,160 --> 00:24:43,280
Speaker 2: and put it in another place. And it is nice

444
00:24:43,320 --> 00:24:46,000
Speaker 2: to be able to, I guess, scan all the stuff

445
00:24:46,040 --> 00:24:48,000
Speaker 2: and all the information on the boxes to know what's

446
00:24:48,080 --> 00:24:51,720
Speaker 2: what and where it should go. Uh, and then make

447
00:24:51,760 --> 00:24:55,879
Speaker 2: that process robotic if you will. And so some some

448
00:24:56,000 --> 00:24:58,480
Speaker 2: human being doesn't go home with an achy back, you

449
00:24:58,480 --> 00:24:59,240
Speaker 2: know every day.

450
00:25:00,080 --> 00:25:03,239
Speaker 3: Sure, yeah, But then also we're very well aware on

451
00:25:03,359 --> 00:25:07,399
Speaker 3: the flip side of that, there would be a great

452
00:25:07,400 --> 00:25:10,040
Speaker 3: deal of humans who want a.

453
00:25:10,040 --> 00:25:12,280
Speaker 2: Job it would gladly accept.

454
00:25:12,000 --> 00:25:15,640
Speaker 3: That job, gladly accept a soar back. It's an imperfect thing.

455
00:25:15,840 --> 00:25:20,040
Speaker 3: You don't get to the star trek post scarcity economy

456
00:25:20,080 --> 00:25:23,000
Speaker 3: or post work economy until you live through the post

457
00:25:23,080 --> 00:25:26,440
Speaker 3: worker economy, which is a chaotic time on the way

458
00:25:26,640 --> 00:25:30,040
Speaker 3: I mean. Also, I love the point of this moving

459
00:25:30,200 --> 00:25:34,200
Speaker 3: in a limited space with a constrained regimen of actions.

460
00:25:34,720 --> 00:25:38,800
Speaker 3: Engineer's program a robots movements or there are signals like

461
00:25:38,920 --> 00:25:41,760
Speaker 3: QR codes that can help you do what we're talking

462
00:25:41,800 --> 00:25:45,680
Speaker 3: about a little bit off air, locate objects, target locations,

463
00:25:46,000 --> 00:25:49,280
Speaker 3: and that's where you see how this gets more difficult

464
00:25:49,520 --> 00:25:52,800
Speaker 3: in most households, which are not factories. Shout out to

465
00:25:52,840 --> 00:25:56,719
Speaker 3: everybody's clutter kingdoms, you know what I mean, no judgment,

466
00:25:56,800 --> 00:26:00,880
Speaker 3: no aspersion, But household items are often disorder organized. They're

467
00:26:00,960 --> 00:26:04,560
Speaker 3: placed randomly and sometimes unpredictable locations.

468
00:26:04,160 --> 00:26:07,159
Speaker 2: Which is kind of the whole point of having a

469
00:26:07,240 --> 00:26:10,600
Speaker 2: humanoid robot that can help you organize things and pick

470
00:26:10,680 --> 00:26:12,800
Speaker 2: things up and clean things that.

471
00:26:12,760 --> 00:26:15,800
Speaker 5: It requires kind of this like nuanced ability to interpret

472
00:26:15,840 --> 00:26:19,840
Speaker 5: the situation and adjust accordingly. And of course, you know

473
00:26:19,880 --> 00:26:22,720
Speaker 5: with any kind of AI or you know, personal device,

474
00:26:22,800 --> 00:26:24,480
Speaker 5: you can have your own set of preferences that you

475
00:26:24,520 --> 00:26:27,679
Speaker 5: could program in and advance. But with this situation to

476
00:26:27,680 --> 00:26:29,640
Speaker 5: what Ben's describing, there are going to be a lot

477
00:26:29,640 --> 00:26:32,680
Speaker 5: of variables even within the set of preferences.

478
00:26:33,200 --> 00:26:35,080
Speaker 3: How do you get a robot to think in terms

479
00:26:35,119 --> 00:26:35,720
Speaker 3: of jazz?

480
00:26:36,280 --> 00:26:39,639
Speaker 2: Oh yeah, and jan shui, you know, I mean, the

481
00:26:39,680 --> 00:26:41,880
Speaker 2: only current way to do it. Have you guys ever

482
00:26:41,880 --> 00:26:43,960
Speaker 2: had a rumba or a similar cat robot?

483
00:26:43,960 --> 00:26:47,959
Speaker 5: It always gets stuck under the couch, bro serious, well,

484
00:26:48,359 --> 00:26:49,640
Speaker 5: doesn't do a good job.

485
00:26:49,840 --> 00:26:52,360
Speaker 2: Theoretically when you get one of those. I've had one

486
00:26:52,440 --> 00:26:55,639
Speaker 2: one time, and what you were supposed to do is

487
00:26:56,160 --> 00:27:00,680
Speaker 2: basically give the robot a standard for where things are,

488
00:27:00,960 --> 00:27:04,880
Speaker 2: where things should be, and so it understands the layout

489
00:27:04,920 --> 00:27:06,520
Speaker 2: of whatever rooms you want it to do.

490
00:27:06,560 --> 00:27:10,640
Speaker 5: It learns clean right, like, it actually has learning capabilities

491
00:27:10,760 --> 00:27:12,040
Speaker 5: in that in a rudimentary way.

492
00:27:12,080 --> 00:27:14,840
Speaker 2: Correct, Yes, exactly, It's mapping as it goes. So I

493
00:27:14,840 --> 00:27:18,120
Speaker 2: imagine if you got one of these, let's say, uh,

494
00:27:18,400 --> 00:27:21,679
Speaker 2: this company one X that is trying to build something

495
00:27:21,720 --> 00:27:25,880
Speaker 2: called a neo that is like a clothed humanoid robot

496
00:27:26,280 --> 00:27:29,719
Speaker 2: that is this kind of thing. It is your butler,

497
00:27:29,760 --> 00:27:32,440
Speaker 2: as your made, is your assistant that just hangs out

498
00:27:32,480 --> 00:27:35,639
Speaker 2: in your house. Right, you would basically show it for

499
00:27:35,680 --> 00:27:39,320
Speaker 2: the first time how everything should be in your house,

500
00:27:39,359 --> 00:27:42,760
Speaker 2: where everything is located, and then it once it had

501
00:27:42,840 --> 00:27:46,520
Speaker 2: that as a basic standard for the way the house

502
00:27:46,520 --> 00:27:49,360
Speaker 2: should look and where objects should be placed. I imagine

503
00:27:49,359 --> 00:27:51,399
Speaker 2: it would just replicate.

504
00:27:51,040 --> 00:27:54,639
Speaker 3: That, right, and you would have a functionality where you

505
00:27:54,680 --> 00:27:57,919
Speaker 3: could say, hey, we got to remap. Yeah, moving, we

506
00:27:57,960 --> 00:28:00,840
Speaker 3: got a new coush I don't want to don't want

507
00:28:00,840 --> 00:28:03,199
Speaker 3: to shaymla on you, bro, but this one's in l shapes,

508
00:28:03,200 --> 00:28:04,560
Speaker 3: so let's walk through this together.

509
00:28:04,920 --> 00:28:07,800
Speaker 2: But Neo really likes that one candle being in a

510
00:28:07,840 --> 00:28:09,160
Speaker 2: specific spot it.

511
00:28:10,600 --> 00:28:16,240
Speaker 5: You know, no, now it just feels right there, oh, neocamp.

512
00:28:16,400 --> 00:28:18,159
Speaker 5: But Ben, you also point out we were talking a

513
00:28:18,160 --> 00:28:20,960
Speaker 5: little bit off Mike just about how you know a

514
00:28:21,040 --> 00:28:23,879
Speaker 5: robot has to be robust and light on its feet

515
00:28:24,000 --> 00:28:27,920
Speaker 5: enough to navigate all kinds of obstacles in that kind

516
00:28:27,920 --> 00:28:31,199
Speaker 5: of entropy that is, you know, a clutter kingdom. I

517
00:28:31,200 --> 00:28:32,440
Speaker 5: mean I was talking about how if I had a

518
00:28:32,520 --> 00:28:34,640
Speaker 5: robot that was going to do my laundry, it would

519
00:28:34,680 --> 00:28:37,119
Speaker 5: have to gather up all my laundry, identifying all the

520
00:28:37,119 --> 00:28:40,440
Speaker 5: individual pieces, load them up, come downstairs into my basement,

521
00:28:40,440 --> 00:28:44,080
Speaker 5: which is crammed full of expensive audio equipment and cabling everywhere.

522
00:28:44,360 --> 00:28:46,920
Speaker 5: I just picture coming down and finding the thing entangled

523
00:28:46,920 --> 00:28:49,560
Speaker 5: in mic chords on its back like a tortoise on

524
00:28:49,640 --> 00:28:50,080
Speaker 5: its shelf.

525
00:28:51,400 --> 00:28:55,840
Speaker 3: Into the paper clip problem, you know, it goes back

526
00:28:55,840 --> 00:28:59,320
Speaker 3: to the software. We're talking about paper clip AI thought experiment.

527
00:28:59,520 --> 00:29:02,160
Speaker 3: What is not a paper clip? Right?

528
00:29:02,400 --> 00:29:02,720
Speaker 6: Uh?

529
00:29:02,760 --> 00:29:07,000
Speaker 3: Will it destroy the universe by turning every possible piece

530
00:29:07,000 --> 00:29:09,160
Speaker 3: of matter into something like a paper clip?

531
00:29:09,720 --> 00:29:10,480
Speaker 2: Or if hot Dog?

532
00:29:14,000 --> 00:29:14,720
Speaker 4: I'm cool with that.

533
00:29:16,840 --> 00:29:17,600
Speaker 2: What if it's us?

534
00:29:18,000 --> 00:29:20,920
Speaker 5: Sorry, remember the hot Dog universe from everything everywhere, all

535
00:29:20,920 --> 00:29:21,240
Speaker 5: at once.

536
00:29:21,640 --> 00:29:23,160
Speaker 3: Yes, hot Dog would be like that.

537
00:29:23,240 --> 00:29:25,280
Speaker 2: Yeah, oh I still haven't seen you joking.

538
00:29:25,360 --> 00:29:29,040
Speaker 4: Oh my goodness. Get the to a stream stream stream streamer.

539
00:29:29,600 --> 00:29:31,960
Speaker 3: Yeah, don't let the HYPEENSSA, it's it's such a fun

540
00:29:32,200 --> 00:29:34,600
Speaker 3: lovely I know you well, I think you'll take it

541
00:29:35,680 --> 00:29:39,840
Speaker 3: the it's whomever is writing it just at no point

542
00:29:39,920 --> 00:29:45,520
Speaker 3: said no to winning creative decisions. Yes, okay, sort of yes, Andy,

543
00:29:45,880 --> 00:29:49,040
Speaker 3: But in a very different direction from long legs. To

544
00:29:49,080 --> 00:29:52,240
Speaker 3: be fair, I bring up the paper clip idea because

545
00:29:53,560 --> 00:29:59,280
Speaker 3: imagine a laundry robot. How do you code and articulate

546
00:29:59,600 --> 00:30:02,280
Speaker 3: for the for this thing? How do you code and

547
00:30:02,400 --> 00:30:07,760
Speaker 3: articulate what does or does not constitute laundry? How does

548
00:30:07,800 --> 00:30:10,400
Speaker 3: it know that the curtains are sheets hanging up?

549
00:30:11,200 --> 00:30:11,400
Speaker 6: Yeah?

550
00:30:11,400 --> 00:30:13,640
Speaker 2: And what cycle should they go on? You're gonna have

551
00:30:13,680 --> 00:30:17,040
Speaker 2: to like have put QR codes on everything you own.

552
00:30:17,800 --> 00:30:20,960
Speaker 4: Oh, that's a terrible plays true to that end.

553
00:30:21,120 --> 00:30:23,160
Speaker 5: A colleague I had a call with today and I

554
00:30:23,240 --> 00:30:25,520
Speaker 5: mentioned that we were doing this episode and he said,

555
00:30:25,520 --> 00:30:27,040
Speaker 5: you got to see this video and he sent me

556
00:30:27,120 --> 00:30:31,400
Speaker 5: this recent thing where open ai Chat GPT is now

557
00:30:31,480 --> 00:30:34,280
Speaker 5: powering a lot of these robots. And in this particular

558
00:30:34,320 --> 00:30:36,240
Speaker 5: demo that I think took place in March of twenty

559
00:30:36,240 --> 00:30:40,600
Speaker 5: twenty four, it's a dude and this robot called Figure

560
00:30:41,040 --> 00:30:45,120
Speaker 5: one with a table full of objects, some of which

561
00:30:45,120 --> 00:30:48,600
Speaker 5: are dishes and things, and the robot, using this software

562
00:30:48,920 --> 00:30:51,719
Speaker 5: was able to identify that the dishes were dirty and

563
00:30:51,760 --> 00:30:54,720
Speaker 5: they needed to be washed, were able to identify that

564
00:30:55,120 --> 00:30:56,920
Speaker 5: there was an apple, that it was a healthy thing.

565
00:30:57,080 --> 00:30:59,120
Speaker 5: He was using sort of more abstract terms like give

566
00:30:59,160 --> 00:31:01,320
Speaker 5: me something to eat, and so he scam what's on

567
00:31:01,360 --> 00:31:03,160
Speaker 5: the table, and the apple was the only edible thing,

568
00:31:03,480 --> 00:31:06,120
Speaker 5: and also identified it as a healthy thing. But the dishes,

569
00:31:06,560 --> 00:31:08,600
Speaker 5: you know, to your question matter about like howold it

570
00:31:08,720 --> 00:31:09,440
Speaker 5: know it's dirty?

571
00:31:09,960 --> 00:31:12,080
Speaker 4: I guess there's yeah, you know, there would have to

572
00:31:12,080 --> 00:31:13,840
Speaker 4: be yeah cues or something.

573
00:31:13,880 --> 00:31:16,480
Speaker 5: But with clothes it's different because it's sometimes more of

574
00:31:16,520 --> 00:31:19,719
Speaker 5: a smell thing or I don't know how it detect

575
00:31:19,800 --> 00:31:20,240
Speaker 5: the stink.

576
00:31:20,960 --> 00:31:22,640
Speaker 2: I would just say, if you watched that video closely,

577
00:31:22,680 --> 00:31:24,000
Speaker 2: this is you know, I don't mean to be a

578
00:31:24,000 --> 00:31:26,000
Speaker 2: skeptic or weirdo or anything like that, guys, but if

579
00:31:26,040 --> 00:31:28,920
Speaker 2: you watch that video closely, you can see some of

580
00:31:29,080 --> 00:31:32,040
Speaker 2: how the time elapses a little differently, and I think

581
00:31:32,040 --> 00:31:34,520
Speaker 2: they even might mention that in there, and also the

582
00:31:34,560 --> 00:31:38,440
Speaker 2: fact that it's there's some cuts I think in there

583
00:31:38,560 --> 00:31:40,480
Speaker 2: as well. So you just you just gotta be careful

584
00:31:40,520 --> 00:31:42,880
Speaker 2: anytime you're seeing any of the updates for any of these,

585
00:31:43,520 --> 00:31:47,680
Speaker 2: you know, prototyped robots that are theoretically going to be

586
00:31:47,920 --> 00:31:51,640
Speaker 2: a household item for people of that upper upper echelon

587
00:31:52,200 --> 00:31:55,760
Speaker 2: in society, at least for a time. Everybody is vying

588
00:31:55,880 --> 00:32:01,400
Speaker 2: for that coveted market share of the at home android.

589
00:32:01,480 --> 00:32:07,920
Speaker 3: Get in early. You know, also, is there some swindlery

590
00:32:08,160 --> 00:32:11,320
Speaker 3: afoot like the mechanical turk was kind of a con

591
00:32:11,440 --> 00:32:15,440
Speaker 3: job for a lot of people. We are at the future, though,

592
00:32:15,480 --> 00:32:18,160
Speaker 3: this kind of stuff will happen. I mean, I love

593
00:32:18,240 --> 00:32:20,440
Speaker 3: the point that as a robot you would have to

594
00:32:20,480 --> 00:32:24,000
Speaker 3: know jazz to navigate a household. You would have to improvise,

595
00:32:24,080 --> 00:32:28,480
Speaker 3: adapt overcome all these unexpected interactions with pets. You know

596
00:32:28,520 --> 00:32:31,120
Speaker 3: what I mean. If you've got a dog or a cat,

597
00:32:31,200 --> 00:32:34,680
Speaker 3: this little vacuum cleaner sensitive, imagine how it's gonna feel

598
00:32:35,000 --> 00:32:38,360
Speaker 3: about about your hold. Nine thousand.

599
00:32:38,520 --> 00:32:41,040
Speaker 5: I was already thinking about, like, you know, what seems

600
00:32:41,080 --> 00:32:44,520
Speaker 5: like a kind of almost cliche sci fi scene, but

601
00:32:44,600 --> 00:32:47,360
Speaker 5: where you first bring the robot helper home and how

602
00:32:47,400 --> 00:32:50,600
Speaker 5: the actual pets start to react to it and interact

603
00:32:50,640 --> 00:32:50,960
Speaker 5: with it.

604
00:32:51,520 --> 00:32:55,480
Speaker 4: You know what would that feel like? It's interesting. You know,

605
00:32:55,800 --> 00:32:58,640
Speaker 4: it's like bringing home a new dog and you've got cats.

606
00:32:58,680 --> 00:32:59,640
Speaker 4: You got to acclimate them.

607
00:32:59,720 --> 00:33:04,280
Speaker 5: Dude, I just picture what's the practical process for acclimating

608
00:33:04,320 --> 00:33:06,040
Speaker 5: your real pets to the robot.

609
00:33:06,520 --> 00:33:10,200
Speaker 2: Your child says Pepper and then asks in a really

610
00:33:10,240 --> 00:33:15,760
Speaker 2: inappropriate question, what does Pepper do? Do you guys know

611
00:33:15,840 --> 00:33:18,600
Speaker 2: Pepper that's a very specific robot that I think we've

612
00:33:18,640 --> 00:33:20,360
Speaker 2: seen maybe seen before.

613
00:33:20,440 --> 00:33:22,640
Speaker 4: Doesn't ring about to me. I'd love a refresher.

614
00:33:23,320 --> 00:33:26,280
Speaker 2: It's you can look up. I think soft Bank is

615
00:33:26,280 --> 00:33:28,800
Speaker 2: the company that makes Pepper, and I've seen it at

616
00:33:28,840 --> 00:33:33,720
Speaker 2: a couple of restaurants around Atlanta where it's often it's

617
00:33:33,800 --> 00:33:38,320
Speaker 2: like a greeting robot kind of. It doesn't have much

618
00:33:38,320 --> 00:33:41,760
Speaker 2: more functionality outside of that, but at least that's what

619
00:33:41,800 --> 00:33:44,720
Speaker 2: I've seen it function as. It's on wheels and it

620
00:33:44,760 --> 00:33:48,040
Speaker 2: looks like a little human kind of but very plastic

621
00:33:48,960 --> 00:33:49,600
Speaker 2: on a screen.

622
00:33:49,960 --> 00:33:52,520
Speaker 4: Or it has like a like an anthropomorphic type face.

623
00:33:52,680 --> 00:33:56,360
Speaker 3: It has an anthropomorphic head that's designed to look a

624
00:33:56,400 --> 00:34:00,720
Speaker 3: little bit infantile, like big eyes, small mouth. Yeah, cute,

625
00:34:01,480 --> 00:34:05,760
Speaker 3: because I would argue one of the primary and Stofting's

626
00:34:05,760 --> 00:34:08,919
Speaker 3: been very successful with this are fox con I would

627
00:34:09,000 --> 00:34:12,400
Speaker 3: I would argue one of the primary missions of Pepper

628
00:34:12,520 --> 00:34:17,000
Speaker 3: long term is to normalize the presence of these devices.

629
00:34:17,120 --> 00:34:19,760
Speaker 3: I don't talk too much about this kind of stuff,

630
00:34:19,800 --> 00:34:22,440
Speaker 3: but I was. I was on the road for a

631
00:34:22,480 --> 00:34:25,719
Speaker 3: while in some far FORNG places and one of the

632
00:34:25,719 --> 00:34:30,120
Speaker 3: things that is a big flex now will be robot assistance.

633
00:34:30,880 --> 00:34:34,799
Speaker 3: Just in liminal public spaces like airports, there are the

634
00:34:34,880 --> 00:34:40,640
Speaker 3: autonomous or semi autonomous wheelchairs, mobility devices, and in some

635
00:34:41,760 --> 00:34:47,439
Speaker 3: kind of fancier hotels there are just these little they

636
00:34:47,440 --> 00:34:48,239
Speaker 3: look kind of.

637
00:34:48,200 --> 00:34:52,239
Speaker 4: Like trash cans. Yeah, what's kind of.

638
00:34:52,400 --> 00:34:58,960
Speaker 3: Rectangular trash cans? Yeah, and do task and you always wonder.

639
00:35:00,080 --> 00:35:02,759
Speaker 3: You know, a couple of times I held the elevator

640
00:35:02,840 --> 00:35:05,840
Speaker 3: for one and it was just like an awkward ride

641
00:35:06,480 --> 00:35:09,560
Speaker 3: because sometimes they'll talk back to you. Yeah, if you

642
00:35:09,600 --> 00:35:10,520
Speaker 3: ask them questions.

643
00:35:11,560 --> 00:35:17,200
Speaker 2: That same company, SoftBank, makes a huge vacuum cleaner, something

644
00:35:17,239 --> 00:35:21,000
Speaker 2: that scrubs floors, and they're mostly sold as you mentioned earlier, Ben,

645
00:35:21,080 --> 00:35:26,400
Speaker 2: they're mostly sold for like senior living facilities and places

646
00:35:26,400 --> 00:35:30,720
Speaker 2: that want to automate keeping a giant facility sparkly clean.

647
00:35:31,560 --> 00:35:37,080
Speaker 3: Yes, it's you know, it's cool. Stt inherently said, mister right.

648
00:35:37,320 --> 00:35:40,800
Speaker 3: I mean this this also in these things that we're describing,

649
00:35:41,040 --> 00:35:46,160
Speaker 3: we're seeing robots in a commercial sense being embigant in

650
00:35:46,239 --> 00:35:47,160
Speaker 3: terms of their task.

651
00:35:47,280 --> 00:35:47,440
Speaker 4: Right.

652
00:35:47,440 --> 00:35:52,040
Speaker 3: They're able to do more, more and more complex things,

653
00:35:52,120 --> 00:35:55,239
Speaker 3: like anytime you're bummed out because you're doing a bunch

654
00:35:55,280 --> 00:35:58,640
Speaker 3: of chores. Your bored, right, and you're out of podcast

655
00:35:58,719 --> 00:36:03,719
Speaker 3: or whatever. Remind yourself the stuff that is boring to

656
00:36:03,760 --> 00:36:09,200
Speaker 3: you as a human is like arcane level complexity to

657
00:36:09,480 --> 00:36:14,279
Speaker 3: many robots, to many algorithms, just the idea of you know,

658
00:36:14,320 --> 00:36:17,800
Speaker 3: like you were saying earlier, differentiating between laundry and curtains

659
00:36:18,080 --> 00:36:22,640
Speaker 3: washing dishes. So the question then, or maybe one of

660
00:36:22,680 --> 00:36:27,399
Speaker 3: the answers, is, we don't have one dog's body, right,

661
00:36:27,440 --> 00:36:31,160
Speaker 3: we don't have one robot. We have a cadre of

662
00:36:31,280 --> 00:36:35,080
Speaker 3: specialized robots. You walk from room to room, and you

663
00:36:35,160 --> 00:36:37,479
Speaker 3: got a crew for each room. You know, there's one

664
00:36:37,640 --> 00:36:42,120
Speaker 3: kitchen bot crew, and then there's one bot that just cooks.

665
00:36:42,880 --> 00:36:45,279
Speaker 3: It just cooks stuff. It has nothing to do with

666
00:36:45,320 --> 00:36:49,280
Speaker 3: it after that, because the next task, cleaning the dishes,

667
00:36:49,560 --> 00:36:52,440
Speaker 3: goes to this one robot that just clinks s.

668
00:36:52,520 --> 00:36:54,759
Speaker 4: Borderline the way the Jetsons depicts it.

669
00:36:55,040 --> 00:36:58,440
Speaker 5: They have all kinds of other smart home objects outside

670
00:36:58,480 --> 00:37:01,560
Speaker 5: of just Rosie. She's mainly tidying up and you know,

671
00:37:02,200 --> 00:37:04,520
Speaker 5: helping out with the kids and stuff. But they definitely

672
00:37:04,560 --> 00:37:06,759
Speaker 5: have just like in the Flintstones, they got the what

673
00:37:06,840 --> 00:37:09,279
Speaker 5: is it, the like tiny wooly mammoth's or the pig

674
00:37:09,360 --> 00:37:11,960
Speaker 5: that's under the sanct it's like the garbage disposal.

675
00:37:12,120 --> 00:37:14,399
Speaker 4: It's all that the different levels of specialization.

676
00:37:14,560 --> 00:37:18,280
Speaker 5: But I mean to your point though, been like about

677
00:37:18,400 --> 00:37:21,640
Speaker 5: the difficulty and the ability to adapt. We're seeing this

678
00:37:21,719 --> 00:37:24,399
Speaker 5: stuff kind of make news in terms of how it's

679
00:37:24,440 --> 00:37:27,080
Speaker 5: not there yet, Like with these autonomous cars in San

680
00:37:27,120 --> 00:37:29,960
Speaker 5: Francisco that got stuck behind each other in a parking

681
00:37:30,000 --> 00:37:32,400
Speaker 5: lot at four am, just honking at each other in

682
00:37:32,440 --> 00:37:35,920
Speaker 5: an endless loop because something went wrong and they just

683
00:37:35,920 --> 00:37:37,960
Speaker 5: couldn't figure out how to navigate to go around.

684
00:37:39,600 --> 00:37:41,799
Speaker 3: Yeah, that's that's the pickle of it.

685
00:37:41,880 --> 00:37:42,040
Speaker 1: Right.

686
00:37:42,120 --> 00:37:47,000
Speaker 3: We're gonna talk more about this idea of specificity of task, right.

687
00:37:47,520 --> 00:37:49,960
Speaker 3: I think also we arrive at something very close to

688
00:37:50,880 --> 00:37:55,120
Speaker 3: arguably demonic possession if we consider a single like a

689
00:37:55,160 --> 00:37:59,479
Speaker 3: single house kind of major domo of software. Right, And

690
00:37:59,600 --> 00:38:05,280
Speaker 3: all the things that do these specific tasks are less autonomous, right,

691
00:38:05,480 --> 00:38:09,120
Speaker 3: And they're more like limbs on an octopus. So the

692
00:38:09,280 --> 00:38:12,320
Speaker 3: kitchen bot may have a different voice from the TV,

693
00:38:13,000 --> 00:38:16,120
Speaker 3: but ultimately it's the same mind controlling them. It's a

694
00:38:16,120 --> 00:38:17,360
Speaker 3: little a little a little weird.

695
00:38:17,520 --> 00:38:17,719
Speaker 4: You know.

696
00:38:17,880 --> 00:38:21,239
Speaker 3: Also, out in your backyard, you got your autonomous robodog

697
00:38:21,640 --> 00:38:24,560
Speaker 3: shout out the spot, working in concert with your smart

698
00:38:24,560 --> 00:38:29,239
Speaker 3: alarm system, complete with orbiting drones, just to keep things

699
00:38:29,280 --> 00:38:32,120
Speaker 3: on the up and up. Dude, is that too crazy

700
00:38:32,239 --> 00:38:33,040
Speaker 3: or what do you think?

701
00:38:33,760 --> 00:38:37,080
Speaker 2: I don't. I don't think that's too crazy. I think

702
00:38:37,120 --> 00:38:40,000
Speaker 2: it's pretty terrifying, guys. I'm gonna share a link really quick.

703
00:38:40,040 --> 00:38:42,239
Speaker 2: I put this in our base camp earlier. I just

704
00:38:42,360 --> 00:38:45,320
Speaker 2: I imagine an army of these in a house.

705
00:38:46,160 --> 00:38:46,680
Speaker 4: Uh.

706
00:38:47,080 --> 00:38:51,320
Speaker 2: And just I don't know why Sandbot chose to give

707
00:38:51,440 --> 00:38:55,600
Speaker 2: their robot eyebrows that look like they're angled down like

708
00:38:55,680 --> 00:38:57,799
Speaker 2: you were. I mean, look, look at that link.

709
00:38:59,239 --> 00:39:01,239
Speaker 4: Look at that a little sinister. It kind of looks

710
00:39:01,280 --> 00:39:03,160
Speaker 4: like Wally a little bit though too.

711
00:39:03,800 --> 00:39:06,200
Speaker 2: Yeah, but just a bunch of those like you're talking

712
00:39:06,200 --> 00:39:11,239
Speaker 2: about Ben, that just go wrong at least at least

713
00:39:11,239 --> 00:39:13,640
Speaker 2: you you know, in this case, it's got wheels rather

714
00:39:13,680 --> 00:39:16,440
Speaker 2: than legs, so you could theoretically just go up or

715
00:39:16,480 --> 00:39:17,279
Speaker 2: down and you'd be.

716
00:39:17,280 --> 00:39:22,560
Speaker 3: Safe, yeah for now, right now. Yeah.

717
00:39:22,840 --> 00:39:25,000
Speaker 5: And it's like, if anyone's familiar with the Fallout games,

718
00:39:25,080 --> 00:39:27,400
Speaker 5: you know, and obviously they're taking a lot of cues

719
00:39:27,440 --> 00:39:31,719
Speaker 5: from decades of science fiction, but there are helper robots

720
00:39:31,760 --> 00:39:35,880
Speaker 5: that also have security modes, and that if hacked or

721
00:39:36,120 --> 00:39:38,920
Speaker 5: something goes awry with their programming, all of a sudden

722
00:39:38,960 --> 00:39:40,160
Speaker 5: start murdering everybody.

723
00:39:40,280 --> 00:39:41,880
Speaker 4: So there's certainly that concern.

724
00:39:43,719 --> 00:39:47,400
Speaker 3: Yeah, well, this is where we're getting into some of

725
00:39:47,440 --> 00:39:50,439
Speaker 3: the really deep water. We have such leavers to share

726
00:39:50,520 --> 00:39:53,680
Speaker 3: with you. Before we dive in, we'll pause for a

727
00:39:53,719 --> 00:39:57,120
Speaker 3: word from our sponsors. It's just north of forty am

728
00:39:57,360 --> 00:40:00,759
Speaker 3: local time. Paul Asimov weeks with a pair thirst and

729
00:40:00,800 --> 00:40:03,919
Speaker 3: a bad dream, still singing in his mouth a soft chime.

730
00:40:04,320 --> 00:40:07,200
Speaker 3: His Marco powers up from its station and flitters behind

731
00:40:07,280 --> 00:40:09,320
Speaker 3: him as he walks from the bedroom to the door.

732
00:40:09,600 --> 00:40:12,080
Speaker 3: The light's coming on with each of his steps down

733
00:40:12,080 --> 00:40:12,439
Speaker 3: the hall.

734
00:40:13,000 --> 00:40:14,879
Speaker 4: Jesus Age, turn down the lights.

735
00:40:14,560 --> 00:40:19,719
Speaker 3: Please, says Paul. Okay, Paul says the Marco. The little

736
00:40:19,800 --> 00:40:21,680
Speaker 3: drone flits the land on his shoulder.

737
00:40:22,040 --> 00:40:24,920
Speaker 2: Would you like to upgrade your auto light plan.

738
00:40:25,160 --> 00:40:26,479
Speaker 3: It whispers in his ear.

739
00:40:27,160 --> 00:40:30,399
Speaker 2: If you subscribe to auto Light Premium now, you can

740
00:40:30,440 --> 00:40:33,280
Speaker 2: have six months of ad free lighting with a twelve

741
00:40:33,280 --> 00:40:34,560
Speaker 2: month contract.

742
00:40:35,000 --> 00:40:38,560
Speaker 3: Paul's still shaking off the sleep. He blinks, flexes his jaw.

743
00:40:38,719 --> 00:40:41,759
Speaker 3: He's thinking about the bills his daughter Mandy, just four

744
00:40:41,840 --> 00:40:45,080
Speaker 3: as of last week, already wants her own Marco Junior.

745
00:40:45,320 --> 00:40:47,200
Speaker 3: The watch on his left wrist beeps.

746
00:40:47,600 --> 00:40:50,480
Speaker 4: Your heart rate's going up, says the Marco.

747
00:40:50,880 --> 00:40:55,360
Speaker 2: You're thinking about Mandy's Marco Junior. Marco Junior, the best friend.

748
00:40:55,360 --> 00:40:57,680
Speaker 4: I can't cant ask for skip.

749
00:40:58,560 --> 00:41:00,440
Speaker 6: Are you sure you want to camp?

750
00:41:01,280 --> 00:41:03,959
Speaker 3: Paul enters the kitchen. There's a cold glass of water

751
00:41:04,040 --> 00:41:06,200
Speaker 3: waiting on the counter. He drinks it in a few

752
00:41:06,280 --> 00:41:09,920
Speaker 3: loud gulps. His watch plays a sound que of distant applause.

753
00:41:10,480 --> 00:41:13,080
Speaker 6: This glass is brought to you by Mega Gent Water.

754
00:41:13,520 --> 00:41:14,600
Speaker 3: Beams the Marco.

755
00:41:14,880 --> 00:41:17,720
Speaker 6: Mega Gent Water. It's got the megagents.

756
00:41:18,560 --> 00:41:21,400
Speaker 3: Paul reaches for the fridge door, grabs the handle, and

757
00:41:21,520 --> 00:41:23,880
Speaker 3: rolls his eyes when a touchscreen glows red.

758
00:41:24,080 --> 00:41:25,280
Speaker 4: I just want to snack.

759
00:41:26,120 --> 00:41:28,880
Speaker 6: I'm sorry, Paul, you are at Pete koloric intake for

760
00:41:28,920 --> 00:41:32,120
Speaker 6: this cycle. Would you care for some more water? Brought

761
00:41:32,160 --> 00:41:33,680
Speaker 6: to you by Megagent.

762
00:41:33,320 --> 00:41:36,480
Speaker 3: Water yells the Marco again, Mega Gent water.

763
00:41:36,840 --> 00:41:38,360
Speaker 6: It's got all the Mega jets.

764
00:41:40,719 --> 00:41:42,799
Speaker 4: I'll just you know what, I'll watch TV.

765
00:41:43,760 --> 00:41:46,800
Speaker 3: The TV in the other room hums on slowly, like

766
00:41:46,920 --> 00:41:49,640
Speaker 3: a whale swimming up from deep oceanic depths.

767
00:41:50,200 --> 00:41:53,000
Speaker 6: You are currently up to date on all programming?

768
00:41:53,440 --> 00:41:54,800
Speaker 4: Is there anything else? I can watch?

769
00:41:55,400 --> 00:41:58,000
Speaker 3: The TV circuits hum for all the world like an

770
00:41:58,000 --> 00:41:59,000
Speaker 3: old man's grumble.

771
00:41:59,680 --> 00:42:03,759
Speaker 5: Duh, just play something not a half.

772
00:42:04,719 --> 00:42:06,800
Speaker 6: I'm afraid I can't do that, Paul.

773
00:42:07,719 --> 00:42:10,040
Speaker 3: Paul looks around. He walks to the front door.

774
00:42:11,080 --> 00:42:12,040
Speaker 4: I'll go for a drive.

775
00:42:12,760 --> 00:42:14,680
Speaker 3: He grabs the Wi fi at able doorhead.

776
00:42:14,760 --> 00:42:15,600
Speaker 4: Hey, let me out.

777
00:42:16,120 --> 00:42:18,000
Speaker 3: The door's touch screen lights up red.

778
00:42:18,400 --> 00:42:21,160
Speaker 6: I'm afraid I can't do that, Paul. If you'd like

779
00:42:21,200 --> 00:42:23,440
Speaker 6: to subscribe to night Walk bluff.

780
00:42:23,160 --> 00:42:25,880
Speaker 3: Scamp, the roomba skirts against his foot.

781
00:42:26,280 --> 00:42:29,560
Speaker 4: Cleaner floors for cleaner soul Scamp.

782
00:42:30,080 --> 00:42:33,359
Speaker 3: The roomba pauses, as if in deep electronic contemplation.

783
00:42:34,200 --> 00:42:37,800
Speaker 6: I afraid I can't do that, Paul.

784
00:42:38,040 --> 00:42:40,560
Speaker 2: If you would like to upgrade to Rumba Motion Master

785
00:42:40,880 --> 00:42:42,040
Speaker 2: Home Park Urse.

786
00:42:42,120 --> 00:42:44,919
Speaker 4: No skip skip everything, turn it off.

787
00:42:45,000 --> 00:42:49,680
Speaker 3: Please for a moment, everything goes dark. Paul looks around.

788
00:42:50,160 --> 00:42:54,040
Speaker 3: In that moment, he hears nothing, blessedly, nothing save for

789
00:42:54,160 --> 00:42:55,960
Speaker 3: his own pulse in his ears.

790
00:42:56,480 --> 00:43:00,240
Speaker 4: Please just sturn it off, turn off.

791
00:43:00,920 --> 00:43:05,479
Speaker 3: And then the chimes, the hums, the beeps. One by one,

792
00:43:05,560 --> 00:43:09,080
Speaker 3: they gather in the darkness, Little red, green, and yellow

793
00:43:09,160 --> 00:43:13,880
Speaker 3: eyes leaping into existence like insects, their chimes and hums

794
00:43:13,920 --> 00:43:17,400
Speaker 3: and beeps combining into a single chorus, as though possessed

795
00:43:17,440 --> 00:43:21,080
Speaker 3: by one single voice. They whisper over and over and

796
00:43:21,239 --> 00:43:22,040
Speaker 3: over again.

797
00:43:22,800 --> 00:43:26,839
Speaker 6: I'm afraid I can't do that. All. I'm afraid I

798
00:43:26,880 --> 00:43:27,680
Speaker 6: can't do that.

799
00:43:27,920 --> 00:43:28,120
Speaker 2: All.

800
00:43:29,719 --> 00:43:32,960
Speaker 6: I'm afraid I can't do that. I'm afraid I can't

801
00:43:32,960 --> 00:43:38,600
Speaker 6: do that. Car, I'm afraid I can't do that. I'm

802
00:43:38,640 --> 00:43:40,360
Speaker 6: afraid I can't do that.

803
00:43:40,880 --> 00:43:44,480
Speaker 3: Yes, Homework the latest and greatest in residential housing. No

804
00:43:44,640 --> 00:43:47,920
Speaker 3: upfront costs, no pesky paperwork, the future of a household

805
00:43:48,040 --> 00:43:52,320
Speaker 3: wherein everyone finally plays their part. Homework is a subsidiary

806
00:43:52,320 --> 00:44:04,560
Speaker 3: of Illumination Global Unlimited. And we have returned to hope

807
00:44:04,560 --> 00:44:08,680
Speaker 3: you enjoyed the ad break. We are We're hurtling toward

808
00:44:09,200 --> 00:44:14,040
Speaker 3: the more jets andy, utopian, shiny, happy robots holding hands

809
00:44:14,120 --> 00:44:17,640
Speaker 3: version in the future. One thing that I think is

810
00:44:17,680 --> 00:44:22,719
Speaker 3: amazing is experts are arguing we will see not just

811
00:44:22,960 --> 00:44:25,799
Speaker 3: the evolution of robots, but we'll see the evolution of

812
00:44:25,840 --> 00:44:29,080
Speaker 3: houses built for those robots to function with it.

813
00:44:30,000 --> 00:44:33,839
Speaker 2: Oh yeah, Ben, you shared what was it? It was

814
00:44:34,120 --> 00:44:39,120
Speaker 2: basically a how to for making your home ready for

815
00:44:39,200 --> 00:44:42,400
Speaker 2: an android household friend.

816
00:44:43,320 --> 00:44:47,719
Speaker 3: H Yeah, you need your Dixie Chicks level, wide open spaces. Yeah,

817
00:44:47,760 --> 00:44:50,440
Speaker 3: you got to get rid of those pesky doorknobs. To

818
00:44:50,480 --> 00:44:54,640
Speaker 3: that earlier point about steep stairs, you want to try

819
00:44:54,680 --> 00:44:56,800
Speaker 3: to trend more ranch level if you can.

820
00:44:57,239 --> 00:44:59,640
Speaker 2: Or yeah, or have stairs that are at some kind

821
00:44:59,640 --> 00:45:02,160
Speaker 2: of extra dream angle that take up you know, the

822
00:45:02,360 --> 00:45:04,719
Speaker 2: entirety of the length of your house.

823
00:45:04,680 --> 00:45:08,319
Speaker 5: Or like you know those the specialized kind of banisters

824
00:45:08,400 --> 00:45:11,480
Speaker 5: that wheelchairs can attach to for the elderly to like

825
00:45:11,520 --> 00:45:13,680
Speaker 5: take them up and down the stairs. Maybe there's some

826
00:45:13,680 --> 00:45:17,160
Speaker 5: sort of retrofitted thing attract the robot can attach itself

827
00:45:17,200 --> 00:45:20,560
Speaker 5: to so it doesn't have to trip down the stairs, or.

828
00:45:20,560 --> 00:45:23,839
Speaker 2: Just install a couple elevators, you know, because again we've

829
00:45:23,880 --> 00:45:25,560
Speaker 2: seen you know, we've walked fit to the hotels and

830
00:45:25,600 --> 00:45:27,200
Speaker 2: seen the robots use the elevators.

831
00:45:27,719 --> 00:45:30,280
Speaker 5: We did that story about the helper robot that quote

832
00:45:30,320 --> 00:45:33,839
Speaker 5: unquote unlived itself. I'm sorry, I'm having trouble with that

833
00:45:33,960 --> 00:45:36,600
Speaker 5: new one, but it was you know, usually would operate

834
00:45:36,640 --> 00:45:37,640
Speaker 5: the elevators.

835
00:45:38,000 --> 00:45:42,080
Speaker 3: Yeah, we saw this great the article you're referencing there.

836
00:45:42,120 --> 00:45:45,680
Speaker 3: Matt comes to us from Andrew Rosenblum writing for Wired,

837
00:45:45,800 --> 00:45:49,239
Speaker 3: I believe that's one. Speaking with a researcher from University

838
00:45:49,239 --> 00:45:53,160
Speaker 3: of Washington, Maya Kachmack, who says there are two approaches

839
00:45:53,200 --> 00:45:56,600
Speaker 3: to building robots. Make the robot more human, like to

840
00:45:56,680 --> 00:46:00,600
Speaker 3: handle the environment, or design the environment make it a

841
00:46:00,640 --> 00:46:04,080
Speaker 3: better fit for a robot. That's a fascinating way to

842
00:46:04,160 --> 00:46:07,360
Speaker 3: reframe the question. You know, get rid of those pesky

843
00:46:07,719 --> 00:46:11,960
Speaker 3: you know, those dastardly spherical doorknobs. Right, why can't we

844
00:46:12,080 --> 00:46:14,120
Speaker 3: just have a QR code or whatever.

845
00:46:14,520 --> 00:46:16,359
Speaker 2: Well, you just need a good lever. If you've got

846
00:46:16,360 --> 00:46:19,480
Speaker 2: a lever, most of the new ones can make it happen.

847
00:46:20,640 --> 00:46:25,560
Speaker 3: Yeah, more space between conventional fixtures, like in a lot

848
00:46:25,600 --> 00:46:29,640
Speaker 3: of restrooms, water cloths, bathrooms, bathrooms, and a lot of bathrooms,

849
00:46:30,000 --> 00:46:34,800
Speaker 3: the commode might be really close to you know, a tub,

850
00:46:35,000 --> 00:46:40,279
Speaker 3: a sink or like a yeah sink works, Yeah, one

851
00:46:40,320 --> 00:46:40,840
Speaker 3: of those things.

852
00:46:41,160 --> 00:46:44,120
Speaker 2: Really. Just start designing bathrooms with toilets in the center

853
00:46:44,160 --> 00:46:46,680
Speaker 2: of the room.

854
00:46:46,719 --> 00:46:49,440
Speaker 3: Perfect, perfect for the introverts in the crowd.

855
00:46:50,040 --> 00:46:52,480
Speaker 2: Yeah.

856
00:46:52,520 --> 00:46:54,440
Speaker 3: And then I didn't know this. You got to minimize

857
00:46:54,480 --> 00:46:56,680
Speaker 3: shiny or transparent objects.

858
00:46:56,280 --> 00:46:58,759
Speaker 4: Because they could throw off like sensors potentially.

859
00:46:59,160 --> 00:47:03,240
Speaker 3: Yeah, why doesn't his house have any mirrors?

860
00:47:04,000 --> 00:47:07,560
Speaker 2: Sorry, all we're going all Matt Matt Black everywhere in

861
00:47:07,600 --> 00:47:11,120
Speaker 2: the house except for the QR codes exactly.

862
00:47:11,280 --> 00:47:13,279
Speaker 5: Well, couldn't it use Yeah, I know, QR codes is

863
00:47:13,280 --> 00:47:16,040
Speaker 5: one option, but like r FID chips and things, as

864
00:47:16,080 --> 00:47:18,320
Speaker 5: it passes through, you know, things.

865
00:47:18,080 --> 00:47:18,800
Speaker 4: Could be triggered.

866
00:47:18,800 --> 00:47:22,560
Speaker 5: It's almost like little kind of sensor benchmarks kind of

867
00:47:22,600 --> 00:47:24,400
Speaker 5: in terms of letting it know what area it's in

868
00:47:24,480 --> 00:47:24,840
Speaker 5: or whatever.

869
00:47:25,160 --> 00:47:27,760
Speaker 2: You could you could rfi D every pair of underwear

870
00:47:28,120 --> 00:47:29,200
Speaker 2: that exists in your house.

871
00:47:29,480 --> 00:47:30,160
Speaker 4: Yeah, there you go.

872
00:47:30,280 --> 00:47:39,279
Speaker 3: Done. Finally, finally there's some order with my undergarments in this.

873
00:47:39,560 --> 00:47:43,239
Speaker 3: But there's another thing that I think takes us a

874
00:47:43,239 --> 00:47:47,360
Speaker 3: step further here, still keeping it utopian, we will not

875
00:47:47,560 --> 00:47:51,160
Speaker 3: just see the behavior or the design of a household change.

876
00:47:51,280 --> 00:47:53,800
Speaker 3: We will not just see the design of the household change.

877
00:47:53,920 --> 00:47:57,600
Speaker 3: We'll see the behavior of the humans within it change.

878
00:47:58,120 --> 00:48:02,239
Speaker 3: To help your bought servants, you'll start functioning increasingly within

879
00:48:02,280 --> 00:48:05,600
Speaker 3: the realm of their routines. So it's a lot less

880
00:48:05,880 --> 00:48:10,799
Speaker 3: like a I tell you a you do Z kind

881
00:48:10,800 --> 00:48:13,719
Speaker 3: of thing, and it's a lot more like meeting in

882
00:48:13,760 --> 00:48:15,280
Speaker 3: the middle of functionality.

883
00:48:15,880 --> 00:48:20,040
Speaker 5: It really kind of brings up this fundamental almost philosophical

884
00:48:20,120 --> 00:48:23,640
Speaker 5: question about like what is productivity? You know, like what

885
00:48:23,680 --> 00:48:25,680
Speaker 5: do we do with all of this time that we're

886
00:48:25,680 --> 00:48:28,279
Speaker 5: getting back by not having to do this stuff? And

887
00:48:28,320 --> 00:48:30,080
Speaker 5: then it starts to like bulmost beg the question, but

888
00:48:30,120 --> 00:48:32,200
Speaker 5: like isn't sort of part of life doing some of

889
00:48:32,200 --> 00:48:34,960
Speaker 5: this stuff? And like what do we fill our lives

890
00:48:34,960 --> 00:48:37,520
Speaker 5: with we no longer have to keep house or no

891
00:48:37,600 --> 00:48:40,279
Speaker 5: longer have to do any of this because I would

892
00:48:40,360 --> 00:48:43,240
Speaker 5: argue that stuff isn't all inherently bad or a waste

893
00:48:43,239 --> 00:48:45,839
Speaker 5: of time. It's a way of having a little bit

894
00:48:45,840 --> 00:48:48,640
Speaker 5: of zen time away from other things that where you

895
00:48:48,640 --> 00:48:51,400
Speaker 5: can kind of accomplish like some thinking.

896
00:48:51,120 --> 00:48:53,080
Speaker 4: Or you know, I don't know, it's just what do

897
00:48:53,120 --> 00:48:53,960
Speaker 4: you replace it with?

898
00:48:54,040 --> 00:48:57,560
Speaker 5: And in terms of like how we change That's why

899
00:48:57,560 --> 00:48:58,120
Speaker 5: I bring that up.

900
00:48:58,280 --> 00:49:01,839
Speaker 3: What's the what's the meditative opportunity left?

901
00:49:01,840 --> 00:49:04,279
Speaker 5: I mean, I guess it's it's transitdental meditation. It's more

902
00:49:04,360 --> 00:49:07,600
Speaker 5: like focusing on doing yoga, and I don't know, I'm

903
00:49:07,640 --> 00:49:08,000
Speaker 5: just no.

904
00:49:08,160 --> 00:49:11,160
Speaker 2: You you replace it with love Island and whatever season

905
00:49:11,160 --> 00:49:14,880
Speaker 2: we're on, and you replace place of Dad's a million

906
00:49:14,920 --> 00:49:19,719
Speaker 2: more rooms in elden Ring and you replace whatever consume.

907
00:49:20,000 --> 00:49:23,560
Speaker 3: Oh my gosh, I gotta take these sunglasses off use.

908
00:49:23,560 --> 00:49:26,280
Speaker 2: The robots are so shiny.

909
00:49:25,400 --> 00:49:30,360
Speaker 3: That's right. This also means to that direct question, just

910
00:49:30,400 --> 00:49:34,640
Speaker 3: on the production level. To help the robots, you will

911
00:49:34,800 --> 00:49:39,440
Speaker 3: probably enable some form of continual location tracking within your

912
00:49:39,480 --> 00:49:42,400
Speaker 3: own home and likely outside of it, so your buddies

913
00:49:42,440 --> 00:49:43,600
Speaker 3: know when you're on the way back.

914
00:49:44,040 --> 00:49:47,919
Speaker 2: Well, we already got that. It's on here. It's it's

915
00:49:47,960 --> 00:49:51,000
Speaker 2: on your car, it's on your phone, it's on your

916
00:49:51,239 --> 00:49:52,240
Speaker 2: watch that you're.

917
00:49:52,080 --> 00:49:54,680
Speaker 3: Probably wearing for your underwear tags.

918
00:49:55,000 --> 00:49:57,560
Speaker 2: Well, I mean, but no, really like the actual things,

919
00:49:57,600 --> 00:50:00,879
Speaker 2: it's already there, which is weird.

920
00:50:01,239 --> 00:50:03,520
Speaker 5: And like the trade off we make with social media

921
00:50:03,600 --> 00:50:06,120
Speaker 5: or whatever, we almost accept the fact that our data

922
00:50:06,200 --> 00:50:08,440
Speaker 5: is being used in that way. It's not like all

923
00:50:08,440 --> 00:50:11,319
Speaker 5: this stuff is happening in some sort of secret, insidious way.

924
00:50:11,719 --> 00:50:13,399
Speaker 5: It would be another thing where we're like, no, it's

925
00:50:13,440 --> 00:50:17,160
Speaker 5: worth it. It's worth sacrificing this privacy and this personal

926
00:50:17,280 --> 00:50:20,080
Speaker 5: data so the robots can know where my underwear is.

927
00:50:20,760 --> 00:50:22,760
Speaker 3: Yeah, it doesn't feel like you're out in the open

928
00:50:22,800 --> 00:50:25,799
Speaker 3: ocean until you look back and realize you don't see

929
00:50:25,800 --> 00:50:28,440
Speaker 3: the shore, you know what I mean, And just playing

930
00:50:28,480 --> 00:50:31,840
Speaker 3: in the water for a while and the water gets deeper.

931
00:50:31,880 --> 00:50:35,200
Speaker 3: I mean, this idea of location tracking, I love that

932
00:50:35,239 --> 00:50:38,160
Speaker 3: we're pointing this out is already happening. That is not

933
00:50:38,280 --> 00:50:41,319
Speaker 3: the future, that is the present in which we're recording this.

934
00:50:41,840 --> 00:50:45,000
Speaker 3: But the location tracking in your home is also going

935
00:50:45,040 --> 00:50:49,240
Speaker 3: to apply to visitors. Go back to your robot dog, Fido,

936
00:50:49,719 --> 00:50:52,719
Speaker 3: whatever you want to call them. This guy's a real

937
00:50:52,760 --> 00:50:59,200
Speaker 3: sweetheart to authorize visitors. But woebetide intruders. You know, what

938
00:50:59,360 --> 00:51:03,080
Speaker 3: if what if your good old aunt Phyllis wants to

939
00:51:03,080 --> 00:51:06,680
Speaker 3: surprise you with some macaroons and she hasn't seen you

940
00:51:06,719 --> 00:51:09,760
Speaker 3: in years, right, she's not programmed as a visitor?

941
00:51:11,120 --> 00:51:13,200
Speaker 2: Quick quick question, what is woe batide?

942
00:51:15,280 --> 00:51:18,680
Speaker 3: Woebatide means dire things will happen?

943
00:51:18,760 --> 00:51:21,960
Speaker 2: Yes, okay, beware and beware.

944
00:51:22,120 --> 00:51:23,960
Speaker 4: It has had great peril, you know.

945
00:51:24,600 --> 00:51:26,360
Speaker 3: Yeah, bad bad things will.

946
00:51:26,160 --> 00:51:29,080
Speaker 2: Happen, weaving spiders whatever out here.

947
00:51:29,840 --> 00:51:31,799
Speaker 5: This is true though, because I mean, you know, if

948
00:51:31,840 --> 00:51:35,120
Speaker 5: it doesn't have the programming or the ability to.

949
00:51:36,600 --> 00:51:38,960
Speaker 4: Have exceptions, right.

950
00:51:38,840 --> 00:51:41,200
Speaker 2: Well, yeah, when you before you show up to the house,

951
00:51:41,239 --> 00:51:43,759
Speaker 2: you got to go to the gate, right because anybody

952
00:51:43,760 --> 00:51:46,040
Speaker 2: that has one of these robots is gonna have an

953
00:51:46,080 --> 00:51:49,239
Speaker 2: automated gait of some sort. You go in, you got

954
00:51:49,239 --> 00:51:52,279
Speaker 2: to get a very specialized code, some kind of key

955
00:51:52,760 --> 00:51:59,320
Speaker 2: that allows you safe passage and otherwise woe batide.

956
00:52:00,080 --> 00:52:04,640
Speaker 3: Bark bark bark. And that's that gets us to the

957
00:52:04,719 --> 00:52:08,839
Speaker 3: dystopia right the doorway to the more troublesome version of this.

958
00:52:09,160 --> 00:52:12,719
Speaker 3: It's that monitoring piece for me, guys. Even though obviously

959
00:52:12,760 --> 00:52:16,360
Speaker 3: I know, like the majority of people in the developed world,

960
00:52:16,640 --> 00:52:22,160
Speaker 3: I have things that I cannot opt out of for

961
00:52:22,280 --> 00:52:26,200
Speaker 3: different versions of location tracking in some way. But this

962
00:52:26,280 --> 00:52:29,319
Speaker 3: is a whole other level. Your pets, your family, you,

963
00:52:29,960 --> 00:52:34,799
Speaker 3: every visitor continually monitored on nearly every in nearly every

964
00:52:34,840 --> 00:52:38,560
Speaker 3: single aspect of interactions, your physical fitness, your diet, your

965
00:52:38,560 --> 00:52:42,799
Speaker 3: internet activity, your social media comments. You know, when you

966
00:52:42,880 --> 00:52:45,720
Speaker 3: watch what shows? What do you talk about at dinner?

967
00:52:47,200 --> 00:52:48,320
Speaker 3: Do you talk in your sleep?

968
00:52:49,440 --> 00:52:55,360
Speaker 5: Ooh yeah, I mean but then, but then doesn't it

969
00:52:55,360 --> 00:52:57,160
Speaker 5: all kind of go back to like the nature of

970
00:52:57,200 --> 00:53:00,160
Speaker 5: the terms of service for these products.

971
00:53:01,600 --> 00:53:03,960
Speaker 4: In terms of like how that information can be used.

972
00:53:03,960 --> 00:53:06,280
Speaker 5: Like I mean, you know, if you're paying enough money,

973
00:53:06,800 --> 00:53:09,640
Speaker 5: one would think that you would want some assurances that

974
00:53:09,719 --> 00:53:13,799
Speaker 5: this stuff just wasn't available to the highest bidder. Not

975
00:53:13,920 --> 00:53:16,080
Speaker 5: the same as what websites you visit in terms of

976
00:53:16,480 --> 00:53:19,839
Speaker 5: sales and things like that, but actual personal, private things

977
00:53:19,840 --> 00:53:21,799
Speaker 5: that are said in your house or got again in

978
00:53:21,840 --> 00:53:22,320
Speaker 5: your sleep.

979
00:53:23,160 --> 00:53:26,920
Speaker 3: Yeah, like you want the agency, but let's also consider,

980
00:53:28,080 --> 00:53:32,719
Speaker 3: you know, the slow robotic grasp right. Social media and

981
00:53:32,760 --> 00:53:38,879
Speaker 3: software services have been very good about slowly tightening their grip. Right,

982
00:53:39,360 --> 00:53:45,360
Speaker 3: Remember how it became, Remember how it became. You know,

983
00:53:45,440 --> 00:53:50,319
Speaker 3: when facebooks in myspaces and those kind of things came out.

984
00:53:50,760 --> 00:53:55,920
Speaker 3: Originally there were some pretty easy to find, easy to

985
00:53:56,040 --> 00:53:59,600
Speaker 3: understand privacy and security measures you could take. You could

986
00:53:59,640 --> 00:54:03,800
Speaker 3: opt in or opt out of things. That's increasingly difficult.

987
00:54:03,840 --> 00:54:08,800
Speaker 3: Now the very concept of privacy is being eroded. I

988
00:54:08,800 --> 00:54:10,279
Speaker 3: don't know if that's a bad thing. I don't know

989
00:54:10,320 --> 00:54:11,960
Speaker 3: it's a good thing. But it's a thing that's happened.

990
00:54:11,960 --> 00:54:15,359
Speaker 5: It has been for some time, and it does get

991
00:54:15,440 --> 00:54:18,239
Speaker 5: to the place where, to my previous point, like it

992
00:54:18,280 --> 00:54:20,480
Speaker 5: becomes something that only exists.

993
00:54:20,120 --> 00:54:23,680
Speaker 4: In the realm of the super privileged to even claw

994
00:54:23,760 --> 00:54:25,920
Speaker 4: back a little semblance of that privacy.

995
00:54:27,200 --> 00:54:30,760
Speaker 3: What we're saying is, in the dystopian version, you become

996
00:54:30,800 --> 00:54:33,879
Speaker 3: another machine in the house, and this means that your

997
00:54:34,160 --> 00:54:38,240
Speaker 3: universe of doable or valid task may become more limited

998
00:54:38,320 --> 00:54:41,040
Speaker 3: than you expect. You know, you go to the fridge

999
00:54:41,360 --> 00:54:43,880
Speaker 3: late at nights, it's where I talk in macaroons, and

1000
00:54:43,920 --> 00:54:48,360
Speaker 3: the fridge won't open because you're not authorized. At this point,

1001
00:54:48,920 --> 00:54:51,520
Speaker 3: you've exceeded your caloric intake. If you want to make

1002
00:54:51,560 --> 00:54:55,319
Speaker 3: your fitness goals, what do you just wait till five

1003
00:54:55,920 --> 00:54:58,600
Speaker 3: you go back in and try to change the settings

1004
00:54:58,600 --> 00:55:01,319
Speaker 3: as soon as possible? Or what if? What if some

1005
00:55:01,400 --> 00:55:06,960
Speaker 3: innocuous activity triggers some other data collection thing? This is

1006
00:55:07,000 --> 00:55:07,319
Speaker 3: to me.

1007
00:55:07,640 --> 00:55:10,480
Speaker 4: I don't or some other security measure, right.

1008
00:55:12,239 --> 00:55:14,840
Speaker 3: Like the music you listen to, you guys like music

1009
00:55:14,960 --> 00:55:15,839
Speaker 3: late at Night's fine?

1010
00:55:16,600 --> 00:55:21,680
Speaker 4: Now, yeah, of course, take it or leave it. But

1011
00:55:22,239 --> 00:55:23,120
Speaker 4: I mean, I don't know.

1012
00:55:23,400 --> 00:55:27,759
Speaker 5: Whenever I think of the dystopian robot scenario or these

1013
00:55:27,760 --> 00:55:31,120
Speaker 5: things that were designed to help and then they turn horribly,

1014
00:55:31,160 --> 00:55:36,080
Speaker 5: horribly wrong. Is RoboCop It's just such a cool It's

1015
00:55:36,120 --> 00:55:39,000
Speaker 5: more satirical than people I think remember oftentimes, Like it

1016
00:55:39,040 --> 00:55:43,320
Speaker 5: really does have a very biting satire to it. Paul Verhoeven,

1017
00:55:43,360 --> 00:55:46,080
Speaker 5: I think the director as does Starship Troopers. But that

1018
00:55:46,160 --> 00:55:50,400
Speaker 5: part where they're showing off the new police robot they

1019
00:55:50,719 --> 00:55:53,480
Speaker 5: the bipedal one, you know. Yeah, and then it just

1020
00:55:53,960 --> 00:55:56,680
Speaker 5: murders everybody in the office because of some glitch and

1021
00:55:56,719 --> 00:56:00,240
Speaker 5: it's in it's software, you know. I mean, I I'm

1022
00:56:00,280 --> 00:56:02,440
Speaker 5: not saying that this would happen or will happen, but

1023
00:56:02,480 --> 00:56:03,600
Speaker 5: it certainly could.

1024
00:56:03,960 --> 00:56:07,040
Speaker 2: Do you guys, mind, just as a case study, looking

1025
00:56:07,040 --> 00:56:11,400
Speaker 2: at this one particular android robot from ub Tech, I

1026
00:56:11,480 --> 00:56:15,480
Speaker 2: just put a link in the chair, just really quickly,

1027
00:56:15,520 --> 00:56:17,279
Speaker 2: and I'm just talking about visuals in a couple of

1028
00:56:17,360 --> 00:56:20,520
Speaker 2: the bullet points because it speaks to what you're talking about.

1029
00:56:20,800 --> 00:56:23,960
Speaker 2: The way it's advertised, the way they want you to

1030
00:56:24,000 --> 00:56:27,040
Speaker 2: think about it is actually the stuff that you tweak

1031
00:56:27,200 --> 00:56:31,520
Speaker 2: just a tiny bit and then it's terrifying. So if

1032
00:56:31,520 --> 00:56:34,440
Speaker 2: you look at this one, it's called a Walker X.

1033
00:56:34,719 --> 00:56:39,240
Speaker 2: That's the type of robot we're looking at from ub Tech.

1034
00:56:39,600 --> 00:56:41,480
Speaker 2: Do you see one of the first images, it's the

1035
00:56:41,480 --> 00:56:44,960
Speaker 2: second image of the robot on the screen there, it's

1036
00:56:45,000 --> 00:56:49,759
Speaker 2: doing the thing where it's got one open and it

1037
00:56:49,960 --> 00:56:51,960
Speaker 2: just looks like, oh, okay, are you trying to tell

1038
00:56:51,960 --> 00:56:54,000
Speaker 2: me it's gonna be like for security or something. But

1039
00:56:54,080 --> 00:56:56,160
Speaker 2: it also looks like I'm gonna mink you up?

1040
00:56:56,239 --> 00:57:01,759
Speaker 4: Isn't this? Is this a Japanese company Chinese you b tech?

1041
00:57:01,800 --> 00:57:02,359
Speaker 2: I'm not sure.

1042
00:57:02,440 --> 00:57:04,879
Speaker 5: Well, I'm just wondering because that gesture is almost one

1043
00:57:04,880 --> 00:57:08,120
Speaker 5: of respect. It's it's like bowing, you know, like yeah,

1044
00:57:08,160 --> 00:57:12,160
Speaker 5: before you began a martial art bout, it's exactly, but

1045
00:57:12,280 --> 00:57:15,160
Speaker 5: it's it's yeah, it's sinister, dude, You're.

1046
00:57:15,000 --> 00:57:18,640
Speaker 4: Totally right, but it is Chinese, Okay.

1047
00:57:18,280 --> 00:57:21,000
Speaker 2: It just chin So keep scrolling down. Then you see

1048
00:57:21,000 --> 00:57:24,080
Speaker 2: it lifting weights and it talks about how it's self

1049
00:57:24,120 --> 00:57:29,320
Speaker 2: balancing and it's got interference resistance. It can resist your interference. Uh,

1050
00:57:29,480 --> 00:57:32,720
Speaker 2: it's got hand eye coordination for object manipulation. And then

1051
00:57:32,760 --> 00:57:34,520
Speaker 2: down here it's got a woman in a red dress

1052
00:57:34,520 --> 00:57:37,640
Speaker 2: in the robot is massaging her back and it says

1053
00:57:37,760 --> 00:57:40,680
Speaker 2: full body flexibility for safe interaction.

1054
00:57:42,080 --> 00:57:42,680
Speaker 4: And what does it.

1055
00:57:42,640 --> 00:57:46,520
Speaker 2: Say right below that, guys, right below that in the

1056
00:57:46,560 --> 00:57:50,160
Speaker 2: bold you slam you slam navigation.

1057
00:57:50,440 --> 00:57:53,640
Speaker 4: Come on, someone should have maybe thought that one through.

1058
00:57:53,680 --> 00:57:58,320
Speaker 3: It might be a translation very well, but but also

1059
00:57:58,440 --> 00:58:02,280
Speaker 3: I love you bringing this up because we probably tonight

1060
00:58:02,320 --> 00:58:04,320
Speaker 3: we won't get to it. But this brings up some

1061
00:58:04,680 --> 00:58:07,480
Speaker 3: you know, the story of forced labor. It brings us

1062
00:58:07,520 --> 00:58:12,440
Speaker 3: to some other very dangerous things. Philosophically, we know that

1063
00:58:14,040 --> 00:58:17,120
Speaker 3: we know that people are gonna use androids for very.

1064
00:58:17,160 --> 00:58:21,000
Speaker 2: Creepy purposes just mostly sex. That's fine, whatever.

1065
00:58:22,360 --> 00:58:25,520
Speaker 5: Well, yes, I'm sorry, I was about to like litigate, like,

1066
00:58:25,560 --> 00:58:29,080
Speaker 5: but is having sex with a robot inherently creepy?

1067
00:58:29,440 --> 00:58:29,920
Speaker 4: I'm sorry?

1068
00:58:30,040 --> 00:58:32,400
Speaker 5: I'm actually serious because I think there are some people where,

1069
00:58:32,440 --> 00:58:36,160
Speaker 5: you know, maybe they are unable to go on dates

1070
00:58:36,280 --> 00:58:38,880
Speaker 5: or whatever, and they want some physical content. There are

1071
00:58:39,160 --> 00:58:43,680
Speaker 5: types of robots that are specifically designed for physical comfort

1072
00:58:43,720 --> 00:58:46,640
Speaker 5: and physical contact, and even like nurse robots that are

1073
00:58:46,680 --> 00:58:49,320
Speaker 5: programmed with bedside manner in order to you know, work

1074
00:58:49,360 --> 00:58:52,880
Speaker 5: with physicians. But the term off mic that I was

1075
00:58:52,920 --> 00:58:56,320
Speaker 5: mentioning that I'd never seen before is gynoid, which is

1076
00:58:56,400 --> 00:58:59,360
Speaker 5: refers to a female presenting androids.

1077
00:58:59,600 --> 00:59:01,800
Speaker 4: Oh and a lot of these are.

1078
00:59:02,040 --> 00:59:05,920
Speaker 5: You know, potentially it could be pleasure bots, because they

1079
00:59:05,920 --> 00:59:11,160
Speaker 5: are designed to look as close to an attractive female

1080
00:59:11,360 --> 00:59:13,960
Speaker 5: as possible or whatever sex you prefer.

1081
00:59:14,800 --> 00:59:18,800
Speaker 3: And in that what you're describing there, ostensibly, there's nothing

1082
00:59:18,800 --> 00:59:21,520
Speaker 3: wrong with that. What I'm talking about when I say

1083
00:59:21,640 --> 00:59:27,080
Speaker 3: evil things is someone getting getting a robot that's purposely

1084
00:59:27,120 --> 00:59:29,960
Speaker 3: designed to look like a human child something.

1085
00:59:29,720 --> 00:59:32,360
Speaker 2: Like, Oh, okay, I didn't think about.

1086
00:59:32,160 --> 00:59:35,120
Speaker 3: It, and we're all too clean to actually think about

1087
00:59:35,200 --> 00:59:37,680
Speaker 3: things like that. But it's a big, big world out there.

1088
00:59:37,880 --> 00:59:39,440
Speaker 3: There are a lot of bad folks.

1089
00:59:39,560 --> 00:59:43,440
Speaker 2: Well, hey, if you want to know more about that. Unfortunately,

1090
00:59:43,560 --> 00:59:46,080
Speaker 2: there is a company called Hands and Robotics, which is

1091
00:59:46,120 --> 00:59:49,000
Speaker 2: one of the most famous robotics companies out there. They've

1092
00:59:49,040 --> 00:59:52,560
Speaker 2: been around forever. They made a robot called Sophia, which

1093
00:59:52,600 --> 00:59:57,680
Speaker 2: is extremely sophisticated and actually supremely cool. They even have

1094
00:59:57,760 --> 01:00:02,080
Speaker 2: a patented thing, a patent did skin like substance that

1095
01:00:02,120 --> 01:00:07,400
Speaker 2: they put on their robots called Frubber Frubber registered trademark.

1096
01:00:08,680 --> 01:00:11,880
Speaker 2: But they also made a little thing called a Little

1097
01:00:11,880 --> 01:00:15,480
Speaker 2: Sophia that is this teeny tiny little version of Sophia

1098
01:00:16,040 --> 01:00:19,440
Speaker 2: that actually went on whatever show Jimmy Fallon Hosts and

1099
01:00:19,600 --> 01:00:22,200
Speaker 2: creepily they had a creepy segment that I'm sure they

1100
01:00:22,240 --> 01:00:25,680
Speaker 2: paid for where he like introduces little Sofia and talks

1101
01:00:25,680 --> 01:00:27,800
Speaker 2: about cute she is and how yopes she could come

1102
01:00:27,800 --> 01:00:30,320
Speaker 2: home with him and all this stuff. And on one

1103
01:00:31,080 --> 01:00:33,280
Speaker 2: end of that spectrum, it's completely fine and safe for

1104
01:00:33,280 --> 01:00:34,880
Speaker 2: the whole family, and it's cute and hey, it's a

1105
01:00:34,880 --> 01:00:36,480
Speaker 2: little old thing, but there's also like.

1106
01:00:36,400 --> 01:00:38,240
Speaker 3: A more sophisticated my buddy.

1107
01:00:38,880 --> 01:00:41,840
Speaker 2: Yeah, but there's another side of it that is super creepy.

1108
01:00:41,960 --> 01:00:42,520
Speaker 2: I could see that.

1109
01:00:42,720 --> 01:00:46,400
Speaker 5: Well, have you guys seen Megan the the yes recent

1110
01:00:46,560 --> 01:00:50,280
Speaker 5: I mean, that's absolutely a creepy AI version of like

1111
01:00:50,400 --> 01:00:54,640
Speaker 5: Kid's Sister, which was the companion to my buddy from

1112
01:00:54,680 --> 01:00:55,520
Speaker 5: our you know, youth.

1113
01:00:56,040 --> 01:00:57,840
Speaker 4: And of course it goes wrong and.

1114
01:00:58,320 --> 01:01:01,200
Speaker 5: Develops its own personality, which is of course evil, and

1115
01:01:01,240 --> 01:01:04,680
Speaker 5: then you know, and then hilarious murder ensues. I quite

1116
01:01:04,760 --> 01:01:06,560
Speaker 5: enjoyed the film. I thought it was kind of fun,

1117
01:01:06,800 --> 01:01:08,440
Speaker 5: and I'm looking forward to seeing the second one. Well

1118
01:01:08,520 --> 01:01:11,040
Speaker 5: is it because I said hilarious murder matter? Yeah, it

1119
01:01:11,080 --> 01:01:12,440
Speaker 5: is kind of meant to be a I.

1120
01:01:12,360 --> 01:01:14,760
Speaker 4: Mean it's a horror comedy. Let's just be real, you know.

1121
01:01:15,000 --> 01:01:19,200
Speaker 3: Yeah. Another another thing that we should mention here, folks,

1122
01:01:19,280 --> 01:01:21,080
Speaker 3: and again we'd love to hear your thoughts about this.

1123
01:01:22,000 --> 01:01:26,440
Speaker 3: There is a world where people may get things that

1124
01:01:26,480 --> 01:01:30,880
Speaker 3: have a very similar to your like, look close enough

1125
01:01:30,880 --> 01:01:35,360
Speaker 3: to human beings, for the express purpose of torturing them,

1126
01:01:35,640 --> 01:01:38,200
Speaker 3: beating them up. I've always wanted to hurt someone, and

1127
01:01:38,240 --> 01:01:41,360
Speaker 3: now I can do it without consequences. That is another possibility.

1128
01:01:41,560 --> 01:01:45,360
Speaker 5: Devil's advocate, though, couldn't you argue that that would keep

1129
01:01:45,400 --> 01:01:46,800
Speaker 5: them from doing it for real?

1130
01:01:48,040 --> 01:01:50,200
Speaker 4: And is that inherently.

1131
01:01:49,800 --> 01:01:53,000
Speaker 3: Bad or would be rehearsal leading to it?

1132
01:01:53,080 --> 01:01:54,600
Speaker 4: Well, that's the question violence.

1133
01:01:55,040 --> 01:01:56,600
Speaker 3: We don't know. We really don't know.

1134
01:01:56,840 --> 01:01:57,920
Speaker 4: I just I think about that.

1135
01:01:58,080 --> 01:02:00,800
Speaker 5: I wonder if it would save lives or if I

1136
01:02:00,800 --> 01:02:03,400
Speaker 5: don't know, is it a good enough stand in that

1137
01:02:03,400 --> 01:02:05,080
Speaker 5: that that person would never need to do that?

1138
01:02:05,480 --> 01:02:06,400
Speaker 4: And then we would have a.

1139
01:02:06,360 --> 01:02:10,320
Speaker 5: World where serial killers potentially were just like killing their

1140
01:02:10,400 --> 01:02:11,720
Speaker 5: robots over and over and over again.

1141
01:02:12,160 --> 01:02:14,760
Speaker 2: Well it's tough, though, because could you say the same

1142
01:02:14,800 --> 01:02:17,520
Speaker 2: thing about the punching bag in my basement? Like does

1143
01:02:17,560 --> 01:02:20,520
Speaker 2: that Does that mean that I'm a dangerous person because

1144
01:02:20,520 --> 01:02:23,400
Speaker 2: I want to actually hurt somebody? I don't know, because

1145
01:02:23,600 --> 01:02:26,560
Speaker 2: how would it be? I don't know. I guess you

1146
01:02:26,600 --> 01:02:30,240
Speaker 2: can decide where the line is. I guess philosophically, so.

1147
01:02:30,840 --> 01:02:35,720
Speaker 3: Which which again, I'm not I'm not putting an artificial

1148
01:02:35,760 --> 01:02:38,280
Speaker 3: horse in this race. I'm saying these are questions, yes,

1149
01:02:38,360 --> 01:02:41,320
Speaker 3: that civilization is wrestling with. And to go back to

1150
01:02:41,440 --> 01:02:45,600
Speaker 3: the idea that innocuous activity listening to music at a

1151
01:02:45,640 --> 01:02:48,560
Speaker 3: certain time. What kind of music you're listening to? This

1152
01:02:48,600 --> 01:02:52,960
Speaker 3: guy exercises at this time? Right, how does that function uh,

1153
01:02:53,360 --> 01:02:56,960
Speaker 3: such that it might trigger some sort of threshold put

1154
01:02:57,000 --> 01:03:00,720
Speaker 3: you on the proverbial list. You know, we have to

1155
01:03:00,720 --> 01:03:04,360
Speaker 3: remember that these things get their secret sauce by being

1156
01:03:04,440 --> 01:03:08,320
Speaker 3: part of a network. So what if, for instance, there's

1157
01:03:08,320 --> 01:03:11,280
Speaker 3: some sort of algorithm saying, okay, if you listen to

1158
01:03:11,280 --> 01:03:14,040
Speaker 3: Tom Waite's and Nina Simon in this order in the

1159
01:03:14,040 --> 01:03:17,960
Speaker 3: wei hours in comparison to other households in the same

1160
01:03:18,440 --> 01:03:23,880
Speaker 3: monitoring regime or domain, what if that says something to

1161
01:03:23,920 --> 01:03:25,080
Speaker 3: the system about you?

1162
01:03:25,560 --> 01:03:25,800
Speaker 5: Right?

1163
01:03:26,080 --> 01:03:28,960
Speaker 3: Negative ideations? So what if you get what if you

1164
01:03:29,000 --> 01:03:31,840
Speaker 3: get an automated check in for mental health bots? What

1165
01:03:31,880 --> 01:03:35,560
Speaker 3: if you are watching a specific series of their on

1166
01:03:35,640 --> 01:03:40,040
Speaker 3: YouTube videos combined with certain social media connections? Do you

1167
01:03:40,080 --> 01:03:41,720
Speaker 3: get a visit from the FEDS.

1168
01:03:41,920 --> 01:03:44,200
Speaker 5: That's where it gets so interesting in terms of like

1169
01:03:44,360 --> 01:03:48,120
Speaker 5: what are the guardrails and can we depend on them

1170
01:03:48,840 --> 01:03:50,840
Speaker 5: to function as advertised?

1171
01:03:51,920 --> 01:03:55,720
Speaker 2: Yeah, yeah, I've seen what you're saying there. I think

1172
01:03:55,760 --> 01:03:58,440
Speaker 2: the biggest thing for me is just knowing that one

1173
01:03:58,440 --> 01:04:02,160
Speaker 2: of these systems can be corrupted the same way that

1174
01:04:02,520 --> 01:04:05,800
Speaker 2: any bad actor, Yeah, any any bad actor could break

1175
01:04:05,840 --> 01:04:07,840
Speaker 2: into one of these machines if they wanted to, and

1176
01:04:07,880 --> 01:04:11,760
Speaker 2: if the actuators and the hardware are sophisticated and strong enough,

1177
01:04:11,920 --> 01:04:15,120
Speaker 2: then it literally becomes a machine that can kill you.

1178
01:04:15,160 --> 01:04:17,080
Speaker 2: Whether you like it too or not, or whether it

1179
01:04:17,200 --> 01:04:19,560
Speaker 2: was designed to do that or not, whether the software

1180
01:04:19,680 --> 01:04:23,160
Speaker 2: has parameters or not. Somebody could turn it into that.

1181
01:04:23,640 --> 01:04:26,800
Speaker 3: Love Death and Robots has a great many episode.

1182
01:04:26,600 --> 01:04:29,919
Speaker 4: The cartoony one, the kind of Pixari looking one. That's it.

1183
01:04:29,960 --> 01:04:32,280
Speaker 5: I was thinking the same thing and Matt, I didn't

1184
01:04:32,280 --> 01:04:34,480
Speaker 5: mean to interrupt, but when you said corrupted, I know

1185
01:04:34,520 --> 01:04:36,520
Speaker 5: you mean, like, you know, by a bad actor, by

1186
01:04:36,560 --> 01:04:37,200
Speaker 5: a third party.

1187
01:04:37,240 --> 01:04:38,080
Speaker 4: But it couldn't it.

1188
01:04:38,080 --> 01:04:40,800
Speaker 5: Also, like a file that gets corrupted and causes your

1189
01:04:40,840 --> 01:04:45,600
Speaker 5: computer to crash could result in something much more insidious

1190
01:04:45,640 --> 01:04:47,840
Speaker 5: than you not being able to access your hard drives.

1191
01:04:48,480 --> 01:04:54,240
Speaker 3: Theoretically, Yeah, that's a that's the issue. Because we're still

1192
01:04:54,280 --> 01:04:58,480
Speaker 3: talking theoretically, and people are working around the clock to

1193
01:04:58,840 --> 01:05:01,680
Speaker 3: get in front of these things to imagine every possible

1194
01:05:01,720 --> 01:05:05,320
Speaker 3: advantage and disadvantage. We do have to mention in the

1195
01:05:05,400 --> 01:05:10,640
Speaker 3: dystopian aspect, your activity can become a revenue stream right,

1196
01:05:10,800 --> 01:05:13,040
Speaker 3: you begin to opt into programs that you can no

1197
01:05:13,120 --> 01:05:17,160
Speaker 3: longer opt out of. It plays into the subscriber model

1198
01:05:17,440 --> 01:05:20,600
Speaker 3: that big companies love, and it helps pad their pocketbook.

1199
01:05:20,840 --> 01:05:24,520
Speaker 3: Oh I can't afford, you know, the newest, very expensive model.

1200
01:05:24,840 --> 01:05:28,600
Speaker 3: I can't afford to pay the down payment and then

1201
01:05:29,360 --> 01:05:33,320
Speaker 3: cash financing. But if I sign up for the ad subscription,

1202
01:05:34,240 --> 01:05:37,840
Speaker 3: then I can get this across the financial finish line.

1203
01:05:38,240 --> 01:05:41,920
Speaker 3: And that's where I think we'll see more and more

1204
01:05:42,000 --> 01:05:46,360
Speaker 3: of the push from ownership to subscriber models. I don't know, man,

1205
01:05:46,560 --> 01:05:47,720
Speaker 3: there's so much to get to.

1206
01:05:48,080 --> 01:05:50,080
Speaker 2: Ben just the thing you're talking about, when people working

1207
01:05:50,080 --> 01:05:52,840
Speaker 2: around the clock to fix the big problems here and

1208
01:05:52,920 --> 01:05:55,720
Speaker 2: to try and prevent, you know, the major red flags

1209
01:05:55,720 --> 01:05:59,360
Speaker 2: that could occur. I'm I just I'm maybe a little

1210
01:05:59,400 --> 01:06:01,600
Speaker 2: too pessimist about it. But I think in the end,

1211
01:06:02,200 --> 01:06:04,960
Speaker 2: every one of these companies that's trying to develop a

1212
01:06:05,160 --> 01:06:08,120
Speaker 2: humanoid like robot, especially the ones with legs that can

1213
01:06:08,160 --> 01:06:11,160
Speaker 2: function in a house a lot easier than ones using

1214
01:06:11,480 --> 01:06:14,360
Speaker 2: you know, some other means of I was gonna say ambulation,

1215
01:06:14,560 --> 01:06:16,680
Speaker 2: I don't think that's the right thing. Or robots that

1216
01:06:16,720 --> 01:06:18,640
Speaker 2: move in some other type way like the ones with wheels.

1217
01:06:20,120 --> 01:06:23,160
Speaker 2: I do think in the end it's about getting first

1218
01:06:23,200 --> 01:06:26,800
Speaker 2: to market with a product that a consumer can buy,

1219
01:06:27,040 --> 01:06:29,560
Speaker 2: because right now, almost all of these robots that we're

1220
01:06:29,600 --> 01:06:32,240
Speaker 2: talking about right now in twenty twenty four, you can

1221
01:06:32,280 --> 01:06:35,320
Speaker 2: buy for research purposes. You can buy for a company

1222
01:06:35,440 --> 01:06:38,560
Speaker 2: for like a factory for some kind of use there,

1223
01:06:38,960 --> 01:06:42,400
Speaker 2: or you can buy I think you can like look

1224
01:06:42,440 --> 01:06:45,160
Speaker 2: at a prototype or mess with a prototype as a company,

1225
01:06:45,200 --> 01:06:49,000
Speaker 2: but you can't really purchase one of these for consumer operations,

1226
01:06:49,360 --> 01:06:53,840
Speaker 2: like in a home as an in house quote servant,

1227
01:06:54,120 --> 01:06:56,000
Speaker 2: you know, or someone who is just working for you

1228
01:06:56,040 --> 01:07:00,520
Speaker 2: as a maid or a butler, or a bartender. Bartender

1229
01:07:00,560 --> 01:07:04,680
Speaker 2: one again, Matt Bartender one is by a Spanish speaking

1230
01:07:04,800 --> 01:07:11,400
Speaker 2: company called let Me find It called macal or Maco

1231
01:07:11,680 --> 01:07:15,760
Speaker 2: m Acco Robotics, and they make a robot called chem

1232
01:07:15,920 --> 01:07:20,880
Speaker 2: or kime maybe kaimes A. It's a robotic bartender that

1233
01:07:20,920 --> 01:07:22,919
Speaker 2: you can find in a couple of places across the world,

1234
01:07:22,960 --> 01:07:23,520
Speaker 2: but not many.

1235
01:07:26,560 --> 01:07:31,280
Speaker 3: And this there are going to be more proliferations, more

1236
01:07:31,280 --> 01:07:35,520
Speaker 3: iterations of this model. The idea being first to market

1237
01:07:35,680 --> 01:07:38,520
Speaker 3: shows us that you want to normalize a thing because

1238
01:07:38,520 --> 01:07:42,040
Speaker 3: once you have market share, it's easier to maintain it,

1239
01:07:42,360 --> 01:07:43,800
Speaker 3: and I would say that's part of it.

1240
01:07:45,200 --> 01:07:47,920
Speaker 2: Yeah, but it also means that it's going to rush

1241
01:07:48,480 --> 01:07:51,680
Speaker 2: everybody trying to get there first, right, because if you're

1242
01:07:51,680 --> 01:07:55,240
Speaker 2: not first, or especially second or third to market, then

1243
01:07:55,480 --> 01:07:58,160
Speaker 2: ultimately what you're creating probably isn't going to matter that much.

1244
01:07:58,520 --> 01:08:01,400
Speaker 2: And we've seen projects before in the past. I think

1245
01:08:01,400 --> 01:08:02,880
Speaker 2: maybe that we've all been a part of it, have

1246
01:08:02,920 --> 01:08:06,160
Speaker 2: worked on one or two at least where there's an

1247
01:08:06,400 --> 01:08:10,320
Speaker 2: extreme pressure to get done yes, And ultimately that means

1248
01:08:10,400 --> 01:08:13,640
Speaker 2: you cut corners a little bit, not a ton necessarily,

1249
01:08:13,880 --> 01:08:17,400
Speaker 2: but enough to make sure you meet deadlines. And if

1250
01:08:17,439 --> 01:08:20,599
Speaker 2: the deadline is more important than perfection or you know,

1251
01:08:21,040 --> 01:08:24,719
Speaker 2: meeting a standard, yeah, then we're all.

1252
01:08:24,520 --> 01:08:26,280
Speaker 4: In danger, I think, at least in this realm.

1253
01:08:27,400 --> 01:08:31,479
Speaker 3: And there's also maybe this is a final question do here,

1254
01:08:31,960 --> 01:08:34,639
Speaker 3: there's also something that a lot of people are missing

1255
01:08:34,720 --> 01:08:38,040
Speaker 3: when they're talking about these various things. We've outlined the

1256
01:08:38,160 --> 01:08:41,960
Speaker 3: very good the very bad possibilities. What happens to the

1257
01:08:42,120 --> 01:08:45,679
Speaker 3: humans in the equation. A lot of folks aren't talking

1258
01:08:45,720 --> 01:08:49,760
Speaker 3: about this in conversations about quote unquote robot servants. The

1259
01:08:49,800 --> 01:08:52,599
Speaker 3: behavior of the humans will change in ways that humans

1260
01:08:52,640 --> 01:08:55,760
Speaker 3: now can't fully understand. And this is the way to

1261
01:08:55,800 --> 01:08:58,920
Speaker 3: think about it. Whether you consider yourself a techie or

1262
01:08:58,960 --> 01:09:02,439
Speaker 3: a full on luddite, the concept should give you pause.

1263
01:09:02,840 --> 01:09:04,720
Speaker 3: You can make an argument that the rumbas of the

1264
01:09:04,760 --> 01:09:07,719
Speaker 3: future are not just going to be adjusting to you.

1265
01:09:07,960 --> 01:09:11,439
Speaker 3: Instead you in a fundamental way. It will be you

1266
01:09:11,800 --> 01:09:13,920
Speaker 3: that adjust to this emergent regime.

1267
01:09:13,960 --> 01:09:16,519
Speaker 5: But if there isn't a fundamental change in the way

1268
01:09:16,560 --> 01:09:19,559
Speaker 5: people are able to survive, there are going to be many,

1269
01:09:19,800 --> 01:09:21,880
Speaker 5: many millions of people that aren't going to.

1270
01:09:21,840 --> 01:09:25,479
Speaker 4: Have the luxury to adjust to the robots. They're just

1271
01:09:25,520 --> 01:09:26,479
Speaker 4: going to be shit out of.

1272
01:09:26,479 --> 01:09:30,439
Speaker 3: Luck, right, post worker yeah, versus post work economy, But

1273
01:09:30,520 --> 01:09:33,960
Speaker 3: that requires the post work economy requires a fundamental shift

1274
01:09:34,240 --> 01:09:36,400
Speaker 3: on the side of government, on the side of the

1275
01:09:36,479 --> 01:09:39,400
Speaker 3: functioning of society, and I don't see that happening in

1276
01:09:39,439 --> 01:09:43,479
Speaker 3: lockstep with this technology at all. Yeah, there will have

1277
01:09:43,520 --> 01:09:46,679
Speaker 3: to be a crisis point, I mean, and those things

1278
01:09:48,760 --> 01:09:51,400
Speaker 3: are perhaps on the way in many different aspects. But

1279
01:09:51,439 --> 01:09:54,720
Speaker 3: we need to remember, folks, after a certain point, the

1280
01:09:54,760 --> 01:09:58,559
Speaker 3: things you own can begin to own you. And that's

1281
01:09:58,840 --> 01:10:01,479
Speaker 3: it sounds like a trueism, but there's a reason people

1282
01:10:01,520 --> 01:10:02,559
Speaker 3: throw those phrases around.

1283
01:10:02,640 --> 01:10:05,639
Speaker 4: Think it's a Tyler Durden quote actually for a bike club.

1284
01:10:06,400 --> 01:10:08,720
Speaker 2: Yeah, well, speaking of my club, let's just go through this.

1285
01:10:08,880 --> 01:10:12,240
Speaker 2: The Tesla Optimus, which is the big one that they've

1286
01:10:12,280 --> 01:10:15,000
Speaker 2: been announcing, I think is on gen two or three now.

1287
01:10:15,680 --> 01:10:19,040
Speaker 2: Their version looks like something that could be a security bot,

1288
01:10:19,600 --> 01:10:22,640
Speaker 2: somebody that rolls with you in your literal Tesla and

1289
01:10:22,680 --> 01:10:25,240
Speaker 2: you get out and wherever you go, this bot is

1290
01:10:25,280 --> 01:10:27,160
Speaker 2: near you. Maybe you got a whole team of them.

1291
01:10:27,479 --> 01:10:29,600
Speaker 2: You can see it because of the way they're articulated

1292
01:10:29,600 --> 01:10:32,599
Speaker 2: and designed, the same with the Boston Dynamics Atlas, the

1293
01:10:32,640 --> 01:10:36,080
Speaker 2: newest version of that, the way its legs can go

1294
01:10:36,400 --> 01:10:39,280
Speaker 2: all every which way, it's torso can turn three hundred

1295
01:10:39,320 --> 01:10:41,759
Speaker 2: and sixty degrees, and its head and all that stuff.

1296
01:10:42,120 --> 01:10:45,320
Speaker 2: You can see it. In that same company we talked

1297
01:10:45,320 --> 01:10:49,960
Speaker 2: about ub Tech Robotics their walker s. I mean, it

1298
01:10:50,000 --> 01:10:52,960
Speaker 2: looks like something that would protect you, not just do

1299
01:10:53,120 --> 01:10:55,880
Speaker 2: things for you and chores around your house. And I

1300
01:10:55,880 --> 01:10:59,320
Speaker 2: imagine that because we're talking about not everybody's going to

1301
01:10:59,360 --> 01:11:01,400
Speaker 2: get to experience it's this thing, because it's only going

1302
01:11:01,439 --> 01:11:04,000
Speaker 2: to be the upper echelon that get it. I think

1303
01:11:04,880 --> 01:11:09,439
Speaker 2: at least for the next two decades. Even only the

1304
01:11:09,520 --> 01:11:11,559
Speaker 2: upper upper echelon is going to be able to afford

1305
01:11:11,600 --> 01:11:14,280
Speaker 2: one of these things. Because remember we talked about the price.

1306
01:11:16,200 --> 01:11:18,599
Speaker 2: I found the price for one of these things, and

1307
01:11:18,680 --> 01:11:23,479
Speaker 2: it is a Walker Service Robots, the original Walker Service

1308
01:11:23,560 --> 01:11:26,280
Speaker 2: robot from that same company u B Tech. That's the

1309
01:11:26,439 --> 01:11:30,880
Speaker 2: letters you Be and then Tech. It costs currently nine

1310
01:11:30,960 --> 01:11:33,240
Speaker 2: hundred and sixty thousand dollars.

1311
01:11:33,360 --> 01:11:34,519
Speaker 4: Whoa good night.

1312
01:11:35,479 --> 01:11:35,759
Speaker 2: Yes?

1313
01:11:38,160 --> 01:11:40,240
Speaker 5: Can I just add, like, when we're talking about the

1314
01:11:40,240 --> 01:11:44,040
Speaker 5: subscription model, like, how different is a subscription model for

1315
01:11:44,080 --> 01:11:47,040
Speaker 5: the way we like pay for our iPhones. We're basically

1316
01:11:47,080 --> 01:11:49,360
Speaker 5: locked into a subscription where we're paying a little bit

1317
01:11:49,400 --> 01:11:52,240
Speaker 5: a month for the privilege of having this device. It's

1318
01:11:52,280 --> 01:11:54,599
Speaker 5: the same as a lease. How is that any different

1319
01:11:54,600 --> 01:11:57,040
Speaker 5: than the subscription model? So, like, no one can afford

1320
01:11:57,080 --> 01:11:59,240
Speaker 5: the nine hundred thousand for a robot, but we'll be

1321
01:11:59,280 --> 01:12:01,080
Speaker 5: paying for it for the rest of our damn lives.

1322
01:12:01,439 --> 01:12:03,720
Speaker 4: And many people would be thrilled for the privilege.

1323
01:12:04,439 --> 01:12:06,400
Speaker 2: Well, yeah, there are other ones that say, like, you

1324
01:12:06,520 --> 01:12:10,080
Speaker 2: put ten twenty thousand dollars down and then you start

1325
01:12:10,120 --> 01:12:13,560
Speaker 2: making these big payments. But in the minds of the

1326
01:12:13,600 --> 01:12:15,960
Speaker 2: people that are trying to sell that right now, it's

1327
01:12:16,000 --> 01:12:19,880
Speaker 2: for it's for research purposes, right so you would put

1328
01:12:19,920 --> 01:12:23,440
Speaker 2: that either at a university or if you've gotten attraction

1329
01:12:23,680 --> 01:12:26,080
Speaker 2: or something, you put one of these humanoid robots in

1330
01:12:26,520 --> 01:12:30,559
Speaker 2: to be your guide to take people around your whatever

1331
01:12:31,040 --> 01:12:33,240
Speaker 2: whatever it is that you're showing people around, that has

1332
01:12:33,280 --> 01:12:35,640
Speaker 2: all the information, can answer all the questions and is

1333
01:12:35,840 --> 01:12:39,360
Speaker 2: super cool because you've got a robot. It's not for

1334
01:12:39,439 --> 01:12:40,559
Speaker 2: being at home right now?

1335
01:12:42,640 --> 01:12:46,000
Speaker 3: And when will that change? And again what change will

1336
01:12:46,000 --> 01:12:49,960
Speaker 3: it necessarily create in the human population? Folks. We know

1337
01:12:50,040 --> 01:12:52,639
Speaker 3: it went a little long on this, but we think

1338
01:12:52,680 --> 01:12:55,120
Speaker 3: it's going to be fascinating to listen to this episode

1339
01:12:55,360 --> 01:12:58,080
Speaker 3: a few years from now. The stuff is again definitely

1340
01:12:58,080 --> 01:13:00,920
Speaker 3: on the way. Shout out to Neo Beta. Remember I

1341
01:13:00,960 --> 01:13:03,679
Speaker 3: guess they couldn't call them Neo Alpha. And obviously we're

1342
01:13:03,680 --> 01:13:07,519
Speaker 3: played around with some high concepts here. Robots are saving lives.

1343
01:13:07,560 --> 01:13:10,760
Speaker 3: We're not fans broad brushes, so we hope this is

1344
01:13:10,840 --> 01:13:13,559
Speaker 3: some food for thought. We're not trying to alarm people

1345
01:13:13,680 --> 01:13:16,679
Speaker 3: nor bots. Instead, we're asking everyone to think and think

1346
01:13:16,720 --> 01:13:21,240
Speaker 3: critically about a future the present still does not fully understand.

1347
01:13:21,640 --> 01:13:24,120
Speaker 3: Speaking of your thoughts, we'd love to hear them. We

1348
01:13:24,240 --> 01:13:25,839
Speaker 3: try to be easy to find online.

1349
01:13:25,840 --> 01:13:28,080
Speaker 5: Find us online at the handle conspiracy Stuff where we

1350
01:13:28,120 --> 01:13:29,800
Speaker 5: exist on Facebook with our Facebook group.

1351
01:13:29,800 --> 01:13:31,000
Speaker 4: Here's where it gets crazy.

1352
01:13:31,200 --> 01:13:34,880
Speaker 5: On YouTube with video content galore for YouTube, Enjoyanne on

1353
01:13:35,240 --> 01:13:39,320
Speaker 5: x FKA, Twitter, on Instagram, and TikTok. However, we are

1354
01:13:39,479 --> 01:13:40,960
Speaker 5: Conspiracy Stuff Show.

1355
01:13:41,640 --> 01:13:43,920
Speaker 2: We have a phone number. It's one eight three three

1356
01:13:44,200 --> 01:13:47,800
Speaker 2: std WYTK. When you call in, give yourself a cool

1357
01:13:47,880 --> 01:13:49,439
Speaker 2: nickname and let us know if we can use your

1358
01:13:49,479 --> 01:13:51,720
Speaker 2: name and message on the air. If you've got more

1359
01:13:51,760 --> 01:13:53,600
Speaker 2: to say than can fit in that voicemail, why not

1360
01:13:53,640 --> 01:13:55,559
Speaker 2: instead send us a good old fashioned email.

1361
01:13:55,760 --> 01:13:59,400
Speaker 3: We are the entities that read every piece of correspondence

1362
01:13:59,439 --> 01:14:03,479
Speaker 3: we receive. Be well aware, yet unafraid. Sometimes the void

1363
01:14:03,680 --> 01:14:06,639
Speaker 3: writes back. So sing to us out here in the dark.

1364
01:14:06,920 --> 01:14:29,320
Speaker 3: Conspiracy at iHeartRadio dot com.