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Episode 3 - Hippos, Jetpacks, and AI Overlords: A Totally Accurate Guide to the Future
27 Plays1 month ago
Ross and Gregg dive headfirst into the bizarre world of failed futurist predictions—from flying cars and weather machines to AI home builders and underwater hippo cops. They ask the important questions: Will robots take our jobs? Can we teleport yet? And most importantly, where did that French toy maker even find scuba hippos? Spoiler: the future is weird.
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Transcript
Introduction to Predictions vs. History
00:00:32
Ross
Welcome back, everybody, to another episode of Unmotivated and Unprepared. I'm Ross.
00:00:37
Gregg
And I'm Greg.
00:00:39
Ross
And Greg, last time, we talked about our fateful friend, the dodo bird. We talked about how it has left us, sadly.
00:00:50
Ross
But today, we're going to talk about things that, well, we're going to start with some
Future Commuting: Flying Cars and Chaos
00:00:57
Ross
predictions. Some were a little bit odd. Some are things that are more widely known predictions that haven't quite manifested themselves, whether that's for bizarre reasons or just for reasons of logistics.
00:01:15
Ross
So i you know, the name of this podcast is Unmotivated and Unprepared, but I did prepare for this episode. That's right. We're getting serious. I watched a full episode of the Jetsons.
00:01:30
Ross
So I'm ready to talk about the future.
00:01:33
Gregg
Hanna-Barbera's predictions of the future, huh
00:01:35
Ross
Yes, pretty much, pretty much. No. But seriously, though, we we ended last time talking about, we talked a little bit about flying cars, I believe is what we we' kind of discussed.
00:01:43
Gregg
Right.
00:01:45
Ross
And On my lovely commute this week, I was thinking about what it would be like if I had an extra dimensionality of traffic in the morning and it just made me sweat.
00:02:01
Ross
Like, but just like I just started sweating.
00:02:01
Gregg
Yeah. Yeah.
00:02:03
Ross
Like, i mean, I'm already a nervous flyer. i can't imagine the chaos.
00:02:12
Gregg
Yeah, I, you know, I'm lucky. i live in, i live in Charlotte, North Carolina, where we don't have a ton of like, I mean we have a really weird system. We don't have frontage roads like Texas, but we don't have any huge interchanges, right?
00:02:24
Ross
Mm-hmm.
00:02:24
Gregg
think about the ones coming out of Austin or the ones at 410, where you're basically going into the sky, several stories as you make a turn onto another highway.
00:02:33
Ross
Yeah. Yeah.
00:02:34
Gregg
And that, that and of itself is flying cars, right? But now think about it if you had self-directed propulsion to get your car up into the air and think about the wrecks.
00:02:43
Ross
Mm.
00:02:46
Gregg
Like how would someone get on to an interchange? How would someone get to that point to go from driving physically to driving air?
00:02:50
Ross
Mm.
00:02:54
Gregg
And I think about the scene for Back to the Future Part 2 where there are like highways and there's interchanges. But there's scenes where the cars just straight up go straight up into the air with no like
00:03:04
Ross
Yep, did just launch just launch, right?
00:03:06
Gregg
Right. Just launch straight in the air
00:03:07
Ross
imagine
Humorous Historical Predictions
00:03:08
Gregg
Think about just the air traffic head coach.
00:03:08
Ross
Imagine trying to leave. Yeah, imagine trying to leave your favorite grocer and you're in the grocery store, like, quote, parking lot and somebody just yeets it up and just like flies their car up in the air.
00:03:24
Ross
And like some other poor old lady's like trying to like fly her car down and land it to go get her, you know, her afternoon groceries. I just, don't know. It just seems like a bad idea.
00:03:36
Gregg
Well, think about the peripherality.
00:03:36
Ross
We can't even get to autonomous cars yet.
00:03:38
Gregg
Oh, sure. But like think about the peripherality, right? Like, so like you are sitting in your car, you're you're in your, pur like people don't pay attention much to their peripherals anyway. That's why blind monitoring, like actually has been one of the huge car innovations.
00:03:49
Gregg
It's been great, which is blind spot monitoring and allows you to know where you are, et cetera, those things.
00:03:51
Ross
Mm-hmm. Oh,
00:03:55
Gregg
Now imagine all the blind spots you do have, if you want to go up or down, right? The idea that now you have to look down and up at,
00:04:00
Ross
yeah.
00:04:02
Gregg
and And I don't care if you have cars from the Minority Report where the bottom is clear and the top is clear and somehow that's going to help you drive up. And it's just not – and God forbid we the fifth element where the cars were actually just regular cars but could fly.
00:04:11
Ross
No.
00:04:15
Gregg
Like it's – and and and ah and the
00:04:16
Ross
Right? Yeah, I got got that classic, that caddy driving around in the air, you know?
00:04:20
Gregg
the – 19 layers, 19 layers of traffic like in the city. Like think about just – yeah. Not to mention, we haven't even gotten to the point of building buildings that tall that are functional, right?
00:04:28
Ross
But I...
00:04:31
Gregg
The Burj Khalifa was built. And it's like, what? I think they just built another building that's taller than that right next to it. But like they had so many issues having a building that tall.
00:04:42
Gregg
And then even when they got that tall, it becomes less and less usable as you get higher up in the building.
00:04:43
Ross
Mm-hmm.
00:04:46
Gregg
Because that's the more wide you are, the more expensive it becomes.
00:04:48
Ross
Yeah.
00:04:51
Ross
Yep. Yep. Yeah. So you you just can't, you just can't have the opportunity to like make it work. And I, and I don't think logistically it's just, feasible right now. I mean, we haven't even gotten to autonomous, truly autonomous vehicles on the ground.
00:05:07
Ross
And I think if you could get to that, you could maybe start talking about cars talking to one another and it doing it itself. But I don't think you're ever going to have a point where everyone is flying like you see, hence like in the Jetsons.
00:05:22
Gregg
Well, don't think it's necessary, right? You're not going to get rid of whether you put traffic in the air, you put traffic on a road. Congestion is that by default, just the mere fact that the amount of capacity necessary to drive is greater the output, right?
00:05:41
Gregg
output right so You could, you can make eight lanes in Houston and at rush hour traffic, you're still gonna have headaches. You can make it 12 lanes and you're still gonna have areas of traffic because there's always the, where traffic happens, right?
00:05:48
Ross
Yep.
00:05:54
Gregg
It's always when things get congested, when it goes down from eight lanes to two is when you get all the traffic, right?
00:05:58
Ross
Yep. Yeah. So you can't have eight lanes everywhere.
00:06:00
Gregg
Cause
00:06:03
Gregg
right.
00:06:03
Ross
ever like Like things have to be squeezed down at some point. You just don't have the space.
00:06:09
Gregg
Right. And it's about maximizing that. So like, if you really want to avoid congestion, You leave your house at four o'clock in the morning, you come home at 9 p.m. Like you're going to reduce your level of traffic
Teleportation, Brain Uploads, and AI Skepticism
00:06:19
Gregg
impact as opposed to driving at eight in the morning and coming home at five.
00:06:23
Ross
No.
00:06:23
Gregg
If you were to fly in cars, I don't think it's going to solve traffic. It's just going to put traffic traffic on another plane.
00:06:28
Ross
Yes. Yes. It's just, you're going to get into traffic faster. Now, now before we get into some really interesting predictions that I found personal jet packs, do you think, um, you think that's ever going to be a hobby hobby use? I mean, you you've got some of those, like you see over the water, you know, people using it with like water pressure and stuff, but you think you we're going to have some rocketeers ever?
00:06:51
Gregg
Well, I think all those things, right? Like I find it fascinating the idea that someone thought that they could put like a rocket on someone's back and that would be a great idea. Like for short distances and for so controlled.
00:07:00
Ross
Hey, I mean, there's probably some people I would like to put a rocket on their back, but you know, for other reasons.
00:07:05
Gregg
oh sure. Yeah.
00:07:06
Ross
Yeah, send them off.
00:07:06
Gregg
yeah A controlled takeoff and those things. I totally get it. Like if you are a stuntman, rocket makes sense. for actual everyday, everyday driving, just the maintenance alone for someone like you want a seven year old filling up with rocket fuel, their device that they put on their back to then take off to go to school.
00:07:24
Gregg
I don't see that happening.
00:07:24
Ross
Whee!
00:07:26
Gregg
Um, the other one was, but what about gravity boots?
00:07:26
Ross
Don't forget your lunch, Timmy.
00:07:29
Gregg
Like that was another one, like anti-gravity the idea in the twenties that we were somehow we're going to like, there was a switch we could turn and make gravity go upside down.
00:07:32
Ross
Oh, yeah.
00:07:37
Gregg
Like,
00:07:39
Ross
Well, we had some, we were dreamers back then, Greg. We were dreamers. Now I don't know if we're dreamers. We'll get into that in a little bit about whether we're dreaming or we're just banking on AI. And I think that's like the only thing we're focused on.
00:07:54
Ross
But okay, so i was i was perusing the internet and since the internet's always right, I ran across some postcard predictions that a German chocolate brand had come out with in 1900 for the year 2000. Okay. these are These are weird.
00:08:17
Gregg
Okay.
00:08:17
Ross
These are really weird.
00:08:17
Gregg
All right.
00:08:18
Ross
So so there was one prediction was, and I wish i wish folks, because you could you can look them up. Hildebrand is the the the brand. They had ah prediction for a roofed city.
00:08:31
Ross
So I guess they just wanted to make inside bigger. So they it's like this picture like, you got a roof over the whole city. So everything's like nice and nice and dry. And you see all these like thunderstorms and everything going on up above it.
00:08:47
Ross
And people are just like, by the way, they're still like riding their horses and they have carriages and stuff. So we have the tech...
00:08:53
Gregg
Think about the smell inside of there.
00:08:54
Ross
Yeah.
00:08:54
Gregg
Yeah.
00:08:55
Ross
like We have the technology to build a roof city. Yeah. We've still got horses, but the methane, oof, right?
00:09:01
Gregg
yeah
00:09:04
Ross
Like just rough. So not sure, not sure where they were at. Then we had one where they predicted a machine for generating good weather.
00:09:15
Ross
So I guess they were going to, I'm not sure how this exactly works per se, but, and I sure can't, Schvonwelle machine. um I guess that means good something, good Schvonwelle machine.
00:09:27
Gregg
Schönwetter. Schönwetter.
00:09:30
Ross
Yeah, so good weather machine.
00:09:31
Gregg
Yeah.
00:09:32
Ross
How, it's like sucking the, like sucking the better bad, like bad weather out.
00:09:34
Gregg
Schönwetter machine.
00:09:38
Ross
And it's just this like really weird engine thing.
00:09:39
Gregg
I like that it was the year 2000, though. I think that's great. Like, a hundred years later, we would have... and But in fairness, we didn't solve the good weather one, but there are ways to make it rain.
00:09:50
Gregg
So we have figured out how to make clouds precipitate.
00:09:50
Ross
Fair. True.
00:09:54
Gregg
We have figured that out, right?
00:09:55
Ross
Yeah, many, many, many rappers um have figured that out in clubs on making it rain.
00:10:00
Gregg
Oh, different kind of rain. Different kind of rain, Ross.
00:10:02
Ross
Oh, oh, okay. I'm sorry.
00:10:05
Gregg
No, but i mean we figured out because we wanted to make sure like because the rain would always drop.
00:10:06
Ross
ah thought, yeah.
00:10:11
Gregg
in certain areas and they want that rain to go to somewhere like drop earlier so they would feed crops or whatever it is they want to do. We've figured out how to to ensure precipitation with airplanes and stuff. It's very expensive, but that's real.
00:10:24
Gregg
But the good weather is an interesting one, right?
00:10:25
Ross
Yep.
00:10:26
Gregg
The idea that you can make clouds disappear and make it sunny and warm, especially if you're in like cold climates.
00:10:29
Ross
Mm-hmm. Yeah. Look, I'm in i'm in umm in Texas. I don't, that's not
AI's Language Challenges and Human Skepticism
00:10:37
Ross
necessarily good weather for me. I'm like, i don't I don't need the clouds to disappear.
00:10:39
Gregg
Yeah, but but you could imagine in Iceland, in Iceland they're like in the middle of February, like, you know what, we're tired of the cold, that's it, we're going to make it 75 degrees and balmy. Like, it's not possible.
00:10:47
Ross
It's like, bring in the heat. Yeah.
00:10:48
Gregg
You can't make it can't make it warmer.
00:10:49
Ross
Yeah.
00:10:51
Gregg
mean, we can with carbon emissions, but that's a whole other story and takes a long time.
00:10:51
Ross
Yes.
00:10:55
Ross
Yes. So, so these first two are very much, I guess it's them predicting we're going to, we're going to play God a little bit, right? We're going to, you know, roof our cities. We're going to make good weather.
00:11:07
Ross
This next one is from a French toy maker at the 1900 world fair. And it's the photo.
00:11:19
Ross
It's difficult to describe. It's a bunch of guards and, police guards, whatever you want to call them, imagine that, riding on hippos, wearing scuba suits, or at least some level of scuba suits, because there's people around them.
00:11:35
Ross
And I mean, these are like the scary river hippos, and they've got like swords like on guard, right?
00:11:38
Gregg
Yeah.
00:11:40
Ross
Like, so I'm not sure. how futuristic domesticating river hippos and using them as part of the police force is.
00:11:54
Gregg
but what What I'm trying to figure out, Ross, like I'm trying to figure this out. So on one hand, we have a German chocolate company whose obvious biggest problem is weather. Apparently weather is their big problem because they've roofed the city and they want a machine for good weather.
00:12:05
Ross
Oh, the chocolate is hard for weather, right? yeah You know, it's tough.
00:12:10
Gregg
Was that a French accent for a German company?
00:12:12
Ross
I don't know.
00:12:13
Gregg
um
00:12:13
Ross
i'm I'm really good at bad accents, Greg.
00:12:14
Gregg
but that but yeah
00:12:16
Ross
We could do a whole episode on how good I am at bad accents, all right?
00:12:19
Gregg
No, but but then, but so that's their problem, right?
00:12:19
Ross
Absolutely.
00:12:22
Gregg
So that chocolate company futurists are all thinking, this is what we need is we need to solve the bad weather problem because apparently in 1900, the weather's awful.
00:12:28
Ross
Absolutely.
00:12:30
Gregg
What problem are the guard, scuba guards on hippos trying to solve? Like what's the future they're predicting?
00:12:35
Ross
I mean, maybe maybe this French toy maker, maybe they were had a you know a rash of burglaries and thefts and they needed something very intimidating to guard their factory.
00:12:49
Gregg
in an africa In a lake in Africa? Like a lake in Africa.
00:12:51
Ross
ba
00:12:52
Gregg
Well, they obviously don't understand hippos because they're not exactly domesticatable.
00:12:52
Ross
Yes, we have our watering hole. Right beside it is our widget factory. We definitely need these hippos to work with us, not against us.
00:13:08
Ross
frightening animals, the most dangerous, and one of the most dangerous animals, period. Like, I love a good baby hippo, but I'm not going to sit on top of a full grown full-grown river hippo. Not going to happen at all.
00:13:20
Gregg
No. I mean, it's why in zoos they really don't do much. They just have a pen for them. They feed them and whatever. But, like, they're not trying to ride them. Make them do service. Like, that's not...
00:13:32
Gregg
I've never seen that before.
00:13:32
Ross
What?
00:13:34
Ross
Quite honestly, it's pretty hilarious because usually, I swear these these guys are like walking at the bottom of a riverbed because there's fish up above them.
00:13:44
Gregg
Yeah.
00:13:44
Gregg
Yeah.
00:13:44
Ross
There's there's fish swimming above the guards with the hippos.
00:13:47
Ross
Like, I don't know who, is this some sort of underwater attack? I don't know. It's it's really, mm-hmm.
00:13:52
Gregg
Yeah, but but the other part is, is that scuba suits look like, I mean, they look like the era, right? So they futurize they futuristically put predicted that we're going to domesticate hippos because that makes sense. And then the they're not going to fix the scuba gear to be like something better than a giant like bell.
00:14:05
Ross
then and No, no, no, no, yes.
00:14:09
Ross
Yeah, scuba technology was perfect as it was in 1900, Greg, all right?
00:14:15
Gregg
Looking like Jules Verne 20,000 leagues of the sea.
00:14:15
Ross
we don
00:14:18
Gregg
Like you just sink to the bottom.
00:14:18
Ross
Yes, yeah, yeah.
00:14:19
Gregg
It doesn't actually have function.
00:14:22
Ross
Well, maybe that's why the hippos, because the hippos are the only ones that can carry that level of weight.
00:14:25
Gregg
Oh, I get it. Okay.
00:14:27
Ross
Yeah. Let's see. Okay, everybody.
00:14:29
Gregg
Dissecting the futuristic idea.
00:14:30
Ross
Yeah, they sit around in the room and they're like, all right, we've perfected scuba gear.
00:14:31
Gregg
Hippos.
00:14:34
Ross
It's 1900. But we need to improve our method of transportation. I've got it. Hippos.
00:14:42
Gregg
Yeah.
00:14:42
Ross
Hippos. Always hippos. right, so those are, I mean, there's a couple of other things that obviously you can think of. Like, we we obviously haven't gotten towards teleportation yet.
00:14:53
Ross
You know, we haven't haven't been able to to break down and reassemble matter in another location.
00:14:54
Gregg
yeah
00:14:58
Gregg
That's, that's, I think it's almost impossible, right? Cause right now we only know how to transport a single atom. The idea of you doing reassembly, like its function back into where it is like like, cause I'm wondering if it's more like the prestige where it's not like you actually like send the real person, you basically just murder the first person and send their clone.
00:15:05
Ross
Yeah.
00:15:09
Ross
Yeah.
00:15:14
Ross
Mm-hmm.
00:15:19
Gregg
So every time you teleport, it's just a clone that ends up in the next location.
00:15:22
Ross
Yeah, I think yeah, it's like, oh, that's that's kind of rough, man. It's like, oh, I hope you had a nice life, you know? So we're going to hope hopefully your clone does a better job.
00:15:29
Gregg
No, I mean, you're going to come back, you all your brain. And that's the other part, like synthesizing your brain. That was another idea, right? Like that we thought, and you even now, even now that's an idea.
00:15:35
Ross
Oh, yeah, like that you'll be able to download download your brain into a computer.
00:15:39
Gregg
Yeah.
00:15:39
Ross
That way when you die, you're your conscience and your your likeness is still there. I mean, are we close? Are we close with our favorite our favorite term, AGI?
00:15:53
Gregg
Yeah. Yeah. We're going there already. Like the fact that the future is today.
00:15:55
Ross
ah I mean, i mean, we could talk about printing food because that's the other prediction that is is is interesting to me that like we've kind of can like 3D print food.
00:16:03
Gregg
Oh, 3D printed food.
00:16:05
Ross
We can like there's there's some some levels of 3D food printing that we can do. But I mean, I think impossible meat was actually a pretty cool invention just from the standpoint of being innovative
00:16:17
Gregg
Yeah. The
AI in Storytelling and Daily Life
00:16:18
Gregg
fact that you've like taken this small amount of peas, uh, the same cell protein of heme, right.
00:16:18
Ross
about it.
00:16:18
Ross
But.
00:16:23
Gregg
Which makes hemoglobin, which shows up in peas and such as my new to mount. I mean, theoretically, All DNA is relatively like just an extrapolation. So we, we can go all the way back to the beginning and forwards and backwards with it.
00:16:35
Gregg
If you're able to assemble it in theory, you could make anything.
00:16:38
Ross
Yep.
00:16:39
Gregg
i don't think you can make meat though.
00:16:40
Ross
Yep.
00:16:41
Gregg
Like the idea that you could actually just skip the animal and just get rib eyes is it is a, is a concept I'm not entirely convinced is going to happen.
00:16:49
Ross
Yeah, no. No, that's that's probably that's probably up there on the teleportation and flying car side.
00:16:54
Gregg
I'm,
00:16:54
Gregg
I'm much more akin to believing in, don't know how you believe, but like I am much more akin to believe the science fiction idea that we're all going to eat gloop that tastes like something like just like I'm more.
00:16:54
Ross
You
00:17:02
Ross
Mm-hmm, mm-hmm. yeah, they're going to synthesize the nutrients and the flavors down to just a blob before they take the blobs and turn them into the construct, what looks like and tastes like that before.
00:17:04
Gregg
Yeah.
00:17:10
Gregg
Yeah.
00:17:16
Gregg
Yeah.
00:17:17
Ross
hundred percent
00:17:18
Gregg
Well, because eating is such an interesting thing, right?
00:17:19
Ross
100%, We 100%. will get the pink slime.
00:17:20
Gregg
The idea that you can make something, and we we've gotten to the point in food science where we can make anything taste like anything, right?
00:17:26
Ross
Mm-hmm, yep, yep.
00:17:26
Gregg
In theory. Things you don't even want it to taste like. Hell, we take we take the smell for raspberries from the beaver musk sack, right? Like the idea that like we've figured out places in nature where we could take these things and it smells like it or tastes like it or whatever.
00:17:41
Gregg
but the idea But texture is a big part of eating as well.
00:17:45
Ross
Yes, 100%. ah hundred percent
00:17:46
Gregg
And different cultures have different textural desires, right? Like some cultures like mushier things, other countries like much chewier things. So the idea that you can synthesize food or synthesize tastes and flavors is fine, but how do you synthesize textures?
00:18:03
Gregg
and then And then visual appeal is a whole other concept in general.
00:18:07
Ross
Yeah, yeah. and i'm And I'm a big, like, I don't, sometimes I don't really care what the food looks like if it tastes good to me. I'm like, eh, that's secondary.
00:18:15
Gregg
Yeah, but texture still applies, right?
00:18:15
Ross
But some people, texture is still incredibly important. And everybody senses texture a different way, too. It's kind of like, that that's why you're never going to get it perfect, because it's never going to be, everybody has their own kind of opinion. It's very subjective on texture.
00:18:33
Gregg
i mean, besides the extreme amount of Maynard reaction when you grill a hamburger... You could take a ribeye and turn into hamburger. but Except for that level of amount of grilling, it's still essentially the same meat, but I guarantee it tastes different.
00:18:48
Ross
Yep, 100%. Sure does. sure it does
00:18:50
Gregg
Just because of the quantity at which the the sinuous chew and everything, I like it just yeah i just i don't think we're going to get there. I think burgers are easier because it's just mush paste.
00:19:01
Ross
Yeah, yeah, and just just smash it all together. Yeah. All right, I would like to call out for those who've listened to many episodes, Greg has now said the words bear fat and now beaver musk sack in two separate episodes.
00:19:18
Ross
So
00:19:19
Gregg
Wait, didn't say bare fat this episode.
00:19:20
Ross
the not in this one, but you have in the past is what I'm saying. For those who've listened to other episodes, we've gone from bear fat to now we've discussed beaver musk sacks.
00:19:29
Gregg
Oh, oh, now we're talking about, oh, I get it. i get the transition.
00:19:31
Ross
Yeah, yeah.
00:19:31
Gregg
The fact that these weird, weird senses of animal ah animal husbandry or text or butchery.
00:19:35
Ross
Yeah. Yes, yeah, it's just it's just a little odd. But how it's intertwined, the nature is intertwined in everything we do.
00:19:40
Gregg
Yeah.
00:19:45
Ross
so So speaking of things, so let's go there, Greg. Speaking of things, not nature. and nothing related to animals, let's talk about artificial, you know, generalized intelligence and the predictions that we're going to have, you know, la the movie Her and then some, you know, not just the actual intelligence,
00:19:51
Gregg
yeah
00:20:07
Gregg
but
The Future of Work: Programming and Automation
00:20:10
Ross
but then the motorized function of a true being that is not human.
00:20:16
Gregg
Did you see... did you see i think it was Larry Page or Alex... but From Google. Did you see the interview with him?
00:20:23
Ross
I did not.
00:20:24
Gregg
The one where he's like the keynote and he's talking about at one point, I think he actually believes in the skepticism of AGI because he says, well, the Silicon Valley theory that are being put out by AGI, it's just people in single Silicon Valley. can We call the Silicon Valley consensus, right?
00:20:41
Gregg
Did you see?
00:20:41
Ross
Okay.
00:20:42
Gregg
So he's talking about the consensus is that AGI will be here by 2030. And the idea is, is that you want to build a house and he has this idea. This is this is his i this is the thing he's selling.
00:20:51
Ross
Sure.
00:20:52
Gregg
but But the fact that he even called it the Silicon Valley consensus almost lends itself to the dot-com idiocy of the nineteen ninety s right?
00:20:52
Ross
Sure.
00:21:00
Gregg
The internet never went away.
00:21:00
Ross
Yeah.
00:21:01
Gregg
Dot-coms are still around, but it wasn't that venture capitalists were throwing tons of money, which we're seeing at the AI ai front right now, right?
00:21:08
Ross
Absolutely. Yes.
00:21:10
Gregg
But the idea, his theory is, is like, well, in 10 years, are he said in five, that's what he said, five years, five years, Ross, you'll want to build a house. Now, I laughable in this economy that you'll build a house.
00:21:23
Gregg
and like Like, I seriously out of touch with his audience. I thought about that for a minute.
00:21:26
Ross
and
00:21:26
Gregg
I was like, oh, wait, you can buy a house?
00:21:27
Ross
Yeah.
00:21:29
Gregg
Like, that's a foreign concept at this point. But, but, but,
00:21:31
Ross
It's like, nah, I'll pass. Renting's fine.
00:21:36
Gregg
I'm like wrong example for the audience you're talking to a bunch of Gen Zers. But then he goes, well, five years, if I want to buy a house, I will hire an ARC. I will but hire someone to buy the, I'll hire an AI to find land.
00:21:47
Gregg
I will do the own agency. I'll have an agent to hire an architect. The, the, the, the AI actually designs the house. That'll be signed off by a human architect, but that's just for human control.
00:21:58
Gregg
And then like he went on to say, basically AI would cover the whole thing. AI to talk to the bank. Ultimately, there's no human in the transaction at all. I can do all of this, buy a house, build a house. i I didn't really
Technology's Potential and Societal Impacts
00:22:09
Gregg
understand the building a house part.
00:22:10
Gregg
I didn't really figure out where he was going. If there were robots tied to AGI now, like, I don't know what this, um,
00:22:16
Ross
Yeah, the motor the motor function, right? Like when the when godfather of AI was on now the diary of a CEO, he talked about like, that's the thing that's furthest away is the motor function, right?
00:22:30
Ross
He said, become a po plumber because like it's not ready to like have that fine fine motor function.
00:22:34
Gregg
Yeah.
00:22:36
Ross
So that's a good one. Five years so building a house, okay? Okay.
00:22:41
Gregg
Yeah. but But that's the idea. On a side note, thinking about that just for for a minute, do you think in like 100 years when robots take over the earth, they're going to watch these videos like the humanoid Olympics and laugh at the hairy apes that are watching this robot run?
00:22:52
Gregg
It's really their ancestors run this thing.
00:22:52
Ross
no No, all I know is when AI does take over the world, they're probably going to find this episode of the podcast and be like, all right, time to eliminate them. They didn't believe in us.
00:23:03
Ross
Look, we're just doing this for fun, guys, gals.
00:23:08
Gregg
ah Dark overlords of robotics.
00:23:09
Ross
Like, I promise. Yeah, yeah. Like, when you when you hear this one, congrats. We got one extra listener. But don't come at me. Like, go listen to the lobster episode.
00:23:17
Gregg
Well, then that's the other thing. Exactly. if ai If AI is listening, though, is it really one listener or is it millions of listeners because it's being transferred across several nodes of data servers?
00:23:29
Ross
Bro, we're famous. Man, we have millions of listeners.
00:23:31
Gregg
Right? Right?
00:23:33
Ross
This is awesome.
00:23:33
Gregg
it's Right?
00:23:35
Ross
Time to get an upgrade on the equipment.
00:23:36
Gregg
Or is extrapolation not that because only one thing listened to it or i rather read the trans converted it to a transcript, then read it, then converted it into knowledge. So technically, it's not even a listener.
00:23:47
Gregg
It's like, whatever.
00:23:49
Ross
Just a translator.
00:23:49
Gregg
Anyways.
00:23:50
Ross
Yeah.
00:23:51
Gregg
That's the other thing, like language translation, right?
00:23:51
Ross
Transcriber.
00:23:53
Gregg
Everybody predicted by now we would have automated language translation that would work like a human's brain, but there's nothing close to like like even AI models aren't good at translation.
00:24:03
Ross
Yeah, I'm curious when Apple, like in some of these new OS's come out with the whole live translation thing. So like where I can put my headphones in and I can speak to somebody and it translates for me into my headphones. And then I speak back and it translates that into their language.
00:24:20
Ross
I'm curious to see how seamless it is. i will say like I had a, you know, I will, I will use, you know, pick your, pick your AI voice tool every now and then, and just like turn it on. If I'm like wanting to learn about a subject and then generally just ask questions, but that's more generic knowledge of me learning about something.
00:24:42
Ross
The conversation is very seamless, but it doesn't make me, it doesn't get to the point to where I feel like it's going to be, you know, something that replaces anything.
00:24:54
Gregg
Well, it also is not incredibly human. Like the voice sounds human, but the way that it talks isn't human. Like it's weird. Like it just sounds weird.
00:25:03
Ross
Yeah, it's it's almost, it's it's one of those things where like when you go and you are interviewing somebody or or you're interviewing for something and if you know the question ahead of time and you immediately have your example ready, it's almost like, okay, you weren't even like comprehending what I was saying.
00:25:03
Gregg
I don't know if you feel the same way. Yeah.
00:25:17
Gregg
Right.
00:25:20
Gregg
Right.
00:25:22
Ross
It's almost like it's, it's almost fake. I almost want the, The weird eye look when I ask it about, you know, the standard slope of plumbing in a residential home, as opposed to it going, oh, that's a great question. It's about a quarter of foot you know a quarter of an inch per foot, blah, blah, blah, blah. blah You know, like...
00:25:43
Ross
I'm like, it was like instant. And like the human interaction would have been, well, that's an odd question for you to ask Ross.
00:25:46
Gregg
Yeah.
00:25:50
Ross
Why do you want to know?
00:25:51
Gregg
Yeah, exactly.
00:25:52
Ross
Why do you want to know how crap flows?
00:25:53
Gregg
Yeah,
00:25:54
Ross
You know, like, and know, I don't know. Or, you know, it's, but, but that's where you're right. It doesn't seem it's natural sounding. The interaction though, is not quite there.
00:26:03
Gregg
yeah it's...
Conclusion: Critical Thinking and Ethics in AI
00:26:07
Gregg
No, I had...
00:26:07
Ross
And I think it'll get there.
00:26:07
Gregg
I hooked... yeah I mean, maybe. I think there's some level where it will. But again, language translation is one of those things. i made my own subtitles for some German movies that I didn't have subtitles for.
00:26:19
Gregg
um And I took the German subtitles and had it translate the German subtitles into English. And there are some strange places where what they say doesn't really make sense.
00:26:32
Gregg
I'm like, that's...
00:26:32
Ross
So how'd that go for you? Yeah.
00:26:34
Gregg
And and i I know German well enough, like at least reading it and speaking it, I'm not as confident, but reading it. And I'm like, that's not what that means. But and so I went through and did like some manual translation stuff.
00:26:44
Ross
Mm-hmm.
00:26:47
Gregg
But like, it's not it's good. It's good enough for you to understand the basics of a conversation. But you can see it in Duolingo. Duolingo gets wrong quite a bit, actually, because it's using ai a lot more than it's using actual like translators and stuff.
00:27:00
Ross
Yeah, yeah.
00:27:00
Gregg
ah i The other day, Ross, as a side note, I took ah Claude, which is one AI, and I had Claude talk to ChatGPG. That was literally the dumbest conversation ever.
00:27:09
Ross
Oh, yeah.
00:27:12
Ross
Oh, really?
00:27:13
Gregg
terrible I, until i I took me, first of all, like 17 tries to get them to actually stop doing that. And I said, all right, chat GPT, I want you to start talking about a story ideas that you have.
00:27:25
Gregg
And then I'll have you talk to Claude. and And then I told Claude, I'm like, okay, Claude, I want you to have some story ideas, but here's the story idea I want to give you. And I took what chat GPT said, put it into Claude.
00:27:35
Gregg
And then when I, once I had it set up well enough, then they could talk back and forth. But they never came to a really good story. It was like some weird odds ends pieces. Like there was a missing component in it.
00:27:47
Ross
Yeah, AI was riffing, but they weren't really getting to the point of an actual coherent story.
00:27:54
Gregg
Right. No, it wasn't. You wouldn't want to read it. Let's go with that. Like you wouldn't want to read their story.
00:27:57
Ross
Yeah. Yeah, and I was like, ooh, no, that's not going to work out well.
00:28:00
Gregg
And they got way too excited about each other's ideas, which is another flaw of AI, right? It's just so positive about everything, which
00:28:07
Ross
Oh, yeah.
00:28:08
Gregg
i I wonder about, right? I wonder if you went to work because like there's a whole thought now and I want to really get your thoughts on this, Ross. There's a whole thought now that people are less skeptical of what comes out of the black box, right?
00:28:21
Gregg
If AI gives you a suggestion, you're more apt to take it than if another human in your organization office says it. Now, wondering if that's A, we're just naturally skeptical of other humans, right? B, we're just skeptical of other humans that aren't we're not related to. Although I don't know if that's true because wives seem incredibly skeptical of their husbands all the time.
00:28:40
Gregg
ah Or three, is it that because it's just so optimistic and positive that we just naturally agree with it because it makes us feel good about ourselves feel good? Or four, maybe four, is the idea of the illusion that it has more information and make able to make better decisions than a human.
00:28:58
Gregg
i don't know, which option?
00:28:58
Ross
Yes. ah So I think it's, there's a combination. I do think the whole black box theory, I think that every, that human nature is to assume and often correctly, the assumption is correct, that somebody has an ulterior motive.
00:29:16
Ross
Right. Like when you find someone that you know and you built a relationship with, you learn and you understand what their motive is so you can trust them more. Right. Like, oh, no, they're being they're being authentic. They're being genuine about this.
00:29:29
Ross
They don't want something else. But in a work environment. We all have different goals. We all have different things that we're trying to do. So I do think that people assume that a human, it's like, yeah, what are they hiding?
00:29:40
Ross
Right? Like, how did they just say this right away? Or how do they know all this? What do they know that I don't know? When you get it from AI, I think they're assuming that the AI doesn't have a emotion and they're just using data.
00:29:56
Ross
So they just take it for what it is, even though it's trained literally off of all those ulterior motives and like all of those motives that other people have.
00:30:03
Gregg
Yeah.
00:30:05
Ross
So I do think there's the black box effect. And I also think that when you do have that aha moment and you recognize that some of these ai solutions, they do have an incredible amount of knowledge and they can respond really quickly. Let's be honest.
00:30:22
Ross
Versus six years ago or seven years ago, you'd tell me the things it could do, I'd be like, no, you're lying. so has proved me wrong. I think when people have that aha moment, they automatically just dive in. I had somebody text me the other day and say, hey, I was just in the room where it happened. I'm like, you watched Hamilton?
00:30:39
Ross
um And they're like, no. My spouse was looking up information on some like, It was a medical thing or something. And they basically just, they got the top three Google results that were the AI generated like bullet points.
00:30:56
Ross
And they just kind of read that. And then they just moved on like that. That was the thing. And it's like, we finally got into a place where it's like, we just take that for, that's for gospel.
00:31:00
Gregg
Yeah.
00:31:06
Ross
That's what it is. There's no extra step.
00:31:07
Gregg
Yeah, but it's wrong a lot. Like, it's wrong a lot.
00:31:09
Ross
It is. it is.
00:31:10
Gregg
I mean, there's some there's some right.
00:31:10
Ross
Absolutely.
00:31:11
Gregg
Like, I do like now that Gemini, I do like now that Gemini does cite things now.
00:31:12
Ross
Absolutely.
00:31:15
Gregg
So it says, like, I got this from here.
00:31:16
Ross
Yeah, yeah. Yeah, and you can you can kind of follow through, but you have to follow through with it.
00:31:17
Gregg
um I do, I do, I am confused. Yeah, but I'm also confused at how much it uses Reddit. Like, there's a significant amount of Reddit in Gemini results. And I'm like, I'm not sure Reddit is the right, like, if you told me it was the AMA for, like, a medical advice, and you said, I use this AMA doctrine whatever, I'd be like, cool.
00:31:32
Ross
Mm-hmm.
00:31:36
Ross
Yeah.
00:31:37
Gregg
But yeah, I don't get it.
00:31:39
Ross
Yeah, ah according according to some 16 year on re old on Reddit. Yeah, you don't need to get that rash checked out. It's fine. It's totally fine. You're good. Yeah, I don't know.
00:31:49
Gregg
Yeah.
00:31:50
Ross
It's bizarre. hundred percent Okay, so before we wrap up, let's like, do you, is there a prediction that you have that you do think in the future we will have or will come true?
00:32:07
Ross
Like, do you think we're going to either solve a problem or have something that has been maybe predicted in the past that actually will come true?
00:32:18
Gregg
I
00:32:24
Gregg
i mean, there's no doubt. i think I think there's two predictions I know for sure are going to happen, right? I i feel pretty confident that the population decline will happen in about 2080. I feel pretty good about that statistic.
00:32:36
Ross
Mm-hmm.
00:32:36
Gregg
um And with that, I think it will come with its own set of automation of challenges about what we do with older people.
00:32:45
Gregg
ah I don't think we're going to have you know systematic euthanasia and Logan's run and somehow we're just going to say everybody has to die 35. I don't think that's going to happen anytime soon. But as far as technology implementations, I do believe i do believe we've been looking for a ah solution for factory workers since the dawn of time.
00:33:01
Gregg
Right. Guild working, guild work. This is just the logical theory, right? Just go with me for just a minute and we can end this really quickly.
00:33:08
Ross
Yep.
00:33:09
Gregg
But I just I don't have an exact technology prediction, but I can tell you the fervor around AI is actually much more nefarious than people think it is. um you have the It's not about just independent wealth and that kind of thing.
00:33:21
Ross
Sure, no.
00:33:22
Gregg
Microsoft was built on the back of Indians, right, from India. pretty much my Microsoft Windows was pretty much built by Indian factories that are programming hubs, right?
00:33:27
Ross
Mm-hmm.
00:33:33
Gregg
We look at programming as being some advanced skill set, but it's not. it's It's a commoditized, it's sewing, right? It's textile work for the modern era. That's all technology has become. And what you've seen from the artistic guild to the industrial revolution of textile workers and factory workers and and those kinds things to automation there to the transfer of that labor to Asia and to India.
00:33:56
Gregg
All that's going to happen next is that we're trying to pull back and claw back that work from foreign exporters to pull that work in and figure out how to automate that at cheaper. There's certain pieces of labor, small amounts of things that we don't know how to get machines to do, but that's where the crux is.
00:34:14
Gregg
It's not about having knowledge.
00:34:14
Ross
Yep.
00:34:15
Gregg
Knowledge is great. Being in the intelligentsia is fantastic if it cures cancer or whatever, but the functional needs of humanity The idea that people relying on so many people at such an expense, that's that's what people want to get rid of.
00:34:29
Gregg
They want to get rid of your highest cost on the balance sheet, which is labor.
00:34:30
Ross
ye
00:34:33
Gregg
And so any technology that's going to come forward is designed to uproot and remove a certain class of people. Right now, the programmers, anybody who's a programmer right now, if you've chosen to graduate from college with a programming background, you've chosen the wrong career.
00:34:47
Gregg
Your job is coming in the opposite direction, right?
00:34:48
Ross
Yeah. Yeah, because people are actively, yeah, people are actively trying to eliminate that because they have seen that that's a significant cost, to your point.
00:34:50
Gregg
Because it's no longer as valuable. It's factory work.
00:35:00
Gregg
Right.
00:35:00
Ross
It is the it is the latest thing of, oh, wait, it's no longer, and don't get me wrong, I know a lot of, I mean, not saying any of the engineers and programmers that we know are not intelligent, but there's there's a level of
00:35:17
Ross
intelligence that's been created that can do a lot of that, just like, to your point, automation in the industrial revolution and on the factory line.
00:35:26
Gregg
But I want to be put up on mindful. You said engineers, and I don't want to say that, right? I think there's always a school for chemists and engineers and things that engineering is a human construct of what you take ideas and ah you have to have really complicated ideas.
00:35:39
Ross
And you build, yeah, you build a solution of something, a complicated system.
00:35:42
Gregg
Right.
00:35:43
Ross
Yeah.
00:35:43
Gregg
The programming of it is not hard.
00:35:45
Ross
Yeah.
00:35:46
Gregg
It's A plus B plus C plus D.
00:35:46
Ross
The actual building of it.
00:35:47
Gregg
Like it's logic. A computer can figure that out. If it knows what the data elements are, it can figure out the problem because it's it's linear in nature.
00:35:54
Ross
Mm
00:35:56
Gregg
Usually it's a sewing problem, right? The only reason the machine isn't doing needlepoint is one, who the hell wants needlepoint? But the second part is is it's it's too tactile for the the machine to really, unless you built a machine just niche, just to do a single set of needlepoint, right?
00:36:13
Ross
hmm. Mm hmm.
00:36:14
Gregg
you You can't have a machine that does all these things.
00:36:14
Ross
Yep.
00:36:16
Gregg
But programming is essentially what it's able to do. It can reprogram itself continuously, right?
00:36:23
Ross
Yes, yes.
00:36:23
Gregg
But I don't know. but But programming is factory work, right? But engineering is not. And so I think what you're going to see more and more is there's going to be new sets of jobs that come along.
00:36:36
Gregg
But what's done unfortunately what no one ever accounts for is what happens to the 20-year-olds who troubles the wrong career at the wrong time. Right. it's like people who joined to be auto workers in the nineties, like they graduated from high school at 1996.
00:36:44
Ross
Mm-hmm. Mm-hmm.
00:36:47
Ross
Yeah.
00:36:51
Gregg
They spent four years in the auto industry before the damn thing collapsed and went to went overseas. Like I wonder if computer programmers are that now computer scientists are different, but computer programmers like that job is going away, but that's not all jobs.
00:37:00
Ross
Yeah.
00:37:02
Ross
Yeah.
00:37:03
Gregg
i mean, you're not going to replace nursing with AI. You're not going to play surgeons with AI.
00:37:07
Ross
No, no, <unk> we're we're far away from that.
00:37:08
Gregg
So, I mean, what do you think? So, so I know we're at almost time, but I mean, on the opposite side, that's where I think technology is going. It's always to supplant a certain level of what we consider of now be menial work.
00:37:14
Ross
Yeah.
00:37:19
Gregg
What now, what do you what do you think is the future for technology?
00:37:19
Ross
Yep.
00:37:23
Ross
I think that my
00:37:29
Ross
hopeful and optimistic side hopes that technology will allow us to create efficiencies that can help humankind, whether that's in the health space, in the hunger space.
00:37:45
Ross
You know, we talk about the but paste that you make into a burger I would hope that technology can find ways to make that more economical to feed more people that need it because AI isn't going to make people full who are suffering from food insecurity, right? Not magically just, hey, oh man, you gave me this robot. Now all of a sudden my tummy's full and I feel you know like I have all the nutrients I need.
00:38:11
Gregg
Yep.
00:38:11
Ross
So like, that's the optimistic side of me is that, that we are going to have advances in technology. Now the pessimistic side of me says, as with everything, we've always solved the problems. And then there's a certain level of wealth and class that keeps it to themself that does that to remain in power.
00:38:32
Ross
But, you know,
00:38:33
Gregg
yeah but but But wait, wouldn't it be the opposite, Ross? Wouldn't the wealthy keep the real hamburgers and feed the fake ones to the poor people? Like like the scene from Snowpiercer where they have access to eggs, but everybody else has to eat cockroach paste?
00:38:46
Ross
I mean, yes, but...
00:38:51
Ross
when it becomes, when it comes down to the scarcity of, which we could get into the whole climate thing and everything else, when there's not many of those nice things left and you're resorting to three d printing this stuff, it all comes full circle. Like when you can solve those things, who's going to have the ability to do that?
00:39:12
Ross
You know, that's, I think there's, it I mean, I think it can be useful. I think we can solve a lot of people's problems. We can, cu ah we can cure a lot of things, but.
00:39:20
Gregg
You know what's funny about that what was really funny about the about the movie The Snowpiercer and any sort of dystopian movie, just on a side note, because I think it's easy. It's easier to be dark than it is to be positive and optimistic, right?
00:39:32
Ross
Oh, sure.
00:39:33
Gregg
um I had real serious problems with that movie, namely because, first of all, the poor people totally outnumber the whatever people, right?
00:39:42
Ross
Yes.
00:39:42
Gregg
And the idea that like six guys and guns are going to stop an army of a thousand people who are starving from cockroach paste stuff.
00:39:47
Ross
Right. Exactly.
00:39:49
Gregg
No, I don't think so. They would have been overpowered immediately. But the other part is that is the reality, right? what What the country today, any country, I was having the conversation in the car and i thought I'm trying to be super deep.
00:40:02
Gregg
But things are not as bad as everybody plays it out to be. I think it's natural that people want to be like, it's really bad, on and so forth.
00:40:09
Gregg
The fear for any culture is to be satiated too much to the point of which they become numb to the to the negatives of society, right?
00:40:17
Ross
Yes.
00:40:17
Gregg
Because if you're satiated as a people, then you're okay that your life continues to degrade. You just naturally go with the degradation, right? Some people would say that's the new problem for Gen Zers, right? They travel everywhere.
00:40:30
Gregg
right And they can get a plane flight anywhere in the world, but they can't buy a house. right the idea
00:40:35
Ross
Yeah.
00:40:35
Gregg
But then is a house really that valuable, right what it is and right is it is?
00:40:35
Ross
Correct. Correct.
00:40:38
Gregg
Is that is that necessary? right
00:40:41
Ross
Yeah, does that does that really does that really something that they aspire to, like a boomer or a Gen Z or a millennial?
00:40:45
Gregg
like Do you need a big house? right Isn't it more headache than anything else? right I don't know. I don't know the answer. But rents rents go up and that's a problem. But now rents are coming back down again. So I don't know what the answer is. So anyways, moving on.
00:40:58
Gregg
Um, but the, but the idea is, I think no matter what happens in the future, whatever technology comes along to make our life better, I know two things for sure.
00:41:10
Gregg
One, there will always be really crazy things on infomercials that people will buy, which is now the TikTok shop, right?
00:41:16
Ross
Love that.
00:41:16
Gregg
That, that, that, that, that one will always be true. There'll always be inventions that have no purpose that somehow someone's going to buy. Uh, and then I think the second one will always be that, that our goal in society is to figure out how to make money at the least amount of, ah at least amount of effort for the smallest minority of people.
00:41:36
Gregg
And so whatever you're looking at for power, that's always what, that's always what technology is going to lead to.
00:41:41
Ross
Yep, yep, that's who's gonna want it. that's And that's where they're gonna sink the money into, which to your point from 20 minutes ago, that's where that's where the Silicon Valley is pumping all their money into right now.
00:41:46
Gregg
Yeah.
00:41:51
Gregg
Yeah.
00:41:54
Ross
Because that's that's what we think, that's what we think and what we hope is the vision is this is the thing that's going to make things, save us money, make us a ton of money being Silicon Valley and then you know allow us to move on.
00:41:55
Gregg
Their hope. Right.
00:42:07
Gregg
Right.
00:42:09
Gregg
And there will be losers for sure. There'll be some big ones but because they're all on a quest for glory.
00:42:13
Ross
Yep, absolutely.
00:42:15
Gregg
It's like going to Mars, like the things they're predicting, but yet they sell it like it's not going to Mars. I don't understand this. Like the idea that it's a good parlor trick.
00:42:22
Ross
It's just weird. It's just weird, like hedging your bet downplay. It's like, oh it's not that great, but buddy, game changer.
00:42:26
Gregg
Yeah.
00:42:30
Gregg
Well, I think the other part, and we got to end, but I think it's the same thing with Bitcoin, right? The idea that like Bitcoin rose to the whatever it is. That's a whole lot of accidents that happened for that, right? And it took 10 years
00:42:42
Ross
Or more, yeah.
00:42:44
Gregg
or more for it to, like, well, 2012, right? 2011, 2012 was like when it started to actually become at least known, a known element.
00:42:51
Ross
Yeah.
00:42:52
Gregg
um But I think that's where we are, right? I think we'll look back in 10, 15 years and go, we were we right or wrong about AI? Was it really Skynet after all? Or was it was it just a cool like gimmick? ah you know Right now, it's no better than a search engine, right?
00:43:09
Ross
Yeah, yeah.
00:43:11
Gregg
Essentially.
00:43:11
Ross
It's a better search engine that we've had, which can be used can be useful sometimes, but it's little search engine.
00:43:15
Gregg
Yeah. I mean, you don't have to read blogs from crazy people in New York City apartments. You can just read AI's blogs. I mean, essentially.
00:43:21
Ross
That's, yeah, very true, very true. Well, when, you know, we get to season 52 of Unmotivated and Unprepared, and it's just AI doing it for us because it has learned us,
00:43:31
Gregg
Yeah, it'll just be AI voices at that point. How they know it's AI voices now?
00:43:33
Ross
then well then then then we'll know then we'll know we were wrong. And it's okay to be wrong. Lesson learned, folks. It's okay to be wrong. We're probably going to be wrong on most of this, but at least we didn't predict that.
00:43:43
Gregg
Yeah.
00:43:46
Ross
that we would have guards riding hippos underwater.
00:43:47
Gregg
Yeah.
00:43:49
Gregg
I agree.
00:43:50
Ross
Like, at least that wasn't my prediction. And there's probably some person out there in France whose great-great-grandparents ran that toy shop and are like, how dare you?
00:44:02
Ross
How dare you? He's got like a little stuffed hippo in his you know in his room from that his great-great-grand gave him.
00:44:05
Gregg
ah
00:44:08
Gregg
Yeah.
00:44:09
Ross
So... All right, Greg. Well, this was good. appreciate the futurism topics. Until we meet again, have a wonderful rest your day, Greg.
00:44:17
Gregg
ah You too, Ross. All right, bye.
00:44:19
Ross
Bye.