January may be a post-holiday lull for some, but not in the tech world. In this dynamic episode of TechWatch Radio, Sam and Jay dive into the latest revelations from CES 2025, including Nvidia’s groundbreaking RTX 50 GeForce GPUs and their emerging Cosmos framework, a model redefining how AI understands the physical world. Could this be the dawn of AI hardware that truly "gets" friction, gravity, and beyond?
But that's just the start. Explore the future of portable TVs with LG’s viral “StandbyMe 2,” witness the quirks of futuristic vehicles equipped with jumping hydraulics, and debate the viability of AI-powered help desks. From electric cars to holograms, this episode tackles the big questions: Are robots really poised to replace us? And does AI need humans to define its purpose? Tune in for insights, debates, and a healthy dose of tech banter to kickstart your year.
[00:00:19] Live on your radio, Tech Watch Radio starts now, ladies and gentlemen. Tech Watch Radio is brought to you by Network Providers Incorporated, NetworkProvidersInc.com. You have friends in the IT business. Welcome to the show. I'm Sam Bushman. Jay Harrison's with me. Welcome to the broadcast, sir.
[00:00:39] Sam, how's it going?
[00:00:41] Sam Bushman
[00:00:41] It's going fantastic. There's just so much going on in tech, it's hard to get my arms around it all, sir.
[00:00:46] Sam Bushman It is, man. Everything in tech is happening right after the first of the year. You got CES, you got stuff that's being released after Christmas, you just got everything going on in January. January's a big month for tech.
[00:00:59] Sam Bushman It is, and it's kind of interesting. Most people right after Christmas kind of take a break for January or it's kind of slow and stuff like that. Not in the tech world, not in the accounting world. They're gearing up for taxes and end-of-year stuff on the accounting side of the world.
[00:01:12] Sam Bushman It does a lot of that, too, because while everybody else takes a break for Christmas, it's time to update systems. It's your only chance between summers or whatever you want to say and the other parts of the year.
[00:01:22] Sam Bushman It's kind of a lower time for business people, but yet a crazy time for IT.
[00:01:28] Sam Bushman But I bring this up because everybody wants to release their product for Christmas, as you know, and for Black Friday and for, I don't know what you call it, Cyber Monday and Small Business Saturday.
[00:01:37] Sam Bushman They're just creating more and more and more sales days. It's kind of a disgrace in some ways.
[00:01:42] Sam Bushman But at the same time, everybody gears up for Christmas.
[00:01:44] Sam Bushman And then after is the CES show where they want to show it all off as they kick off the next year.
[00:01:49] Sam Bushman And CES, that's the Consumer Electronics Show, just ended in Las Vegas yesterday.
[00:01:55] Sam Bushman And man, there's a lot of interesting tidbits in that.
[00:02:00] Sam Bushman One of the biggest kind of changes that I can kind of highlight for this in the conference 2025,
[00:02:06] Sam Bushman I guess they just released, this is NVIDIA, their Blackwell RTX 50.
[00:02:14] Sam Bushman What is it, the GeForce Series, this new whole series of cards that's been long awaited, right?
[00:02:19] Sam Bushman Yeah, from NVIDIA.
[00:02:20] Sam Bushman Always big things happening with graphics cards, not just for gaming, but for AI and for everything that uses it,
[00:02:29] Bitcoin mining, you know, everything that uses graphics cards.
[00:02:33] Sam Bushman Mathematical Yeah.
[00:02:36] Sam Bushman I'm just in general, mathematical processing.
[00:02:39] Sam Bushman Yeah.
[00:02:39] Sam Bushman So here's the deal.
[00:02:40] You know, Jay and I were talking about this a couple of weeks ago, just on the phone, we were discussing this.
[00:02:47] You know, it's interesting, NVIDIA used to just be kind of a company that, hey, they produce cards,
[00:02:51] and unless you were a gamer, you didn't really know what it was, you didn't care.
[00:02:54] I mean, they just existed, and they weren't, I mean, they weren't small, but they weren't that big.
[00:02:57] Sam Bushman Over the last several years, though, man, NVIDIA, because of AI, because of some of these math-centric tasks that are necessary,
[00:03:06] they've almost even eclipsed your general processor.
[00:03:08] Now, I get that you've got to have your, you know, your computer, and that these chips are kind of more for graphics.
[00:03:13] I understand all that.
[00:03:15] But it's kind of changed the game, though.
[00:03:17] It's not just about your CPU anymore.
[00:03:18] It's about your GPU.
[00:03:19] It's about kind of distributed computing, and some of these other, I don't know what you want to call them,
[00:03:25] processing units are taking the world by storm, Jay.
[00:03:28] They really are, and NVIDIA is breaking out to be huge.
[00:03:33] I mean, some people are saying that they have better market share than Apple,
[00:03:37] and, you know, these companies that we've always traditionally thought would be the number one biggest companies out there.
[00:03:42] NVIDIA is doing a lot, and there's a lot with graphics that's happening.
[00:03:46] There's a lot with AI, and they're just filling the niche.
[00:03:50] They're in the right place at the right time, and, you know, you hear about Radeon and other competitors,
[00:03:55] but you just don't, they're just not making the news.
[00:03:58] They're being eclipsed.
[00:03:58] Yeah.
[00:03:59] It's like Intel was back in its heyday.
[00:04:01] Right, exactly.
[00:04:03] And, you know, you had Cyrix, and you had AMD and stuff, and you still do,
[00:04:06] and ARM processors and other things, but Intel was still dominating and kind of really still is.
[00:04:12] All right.
[00:04:12] Now, it's also interesting, too, they kind of talked about Cosmos of NVIDIA.
[00:04:17] Do you know what the Cosmos is, Jay?
[00:04:18] No, I don't.
[00:04:20] All right.
[00:04:21] They have this CEO, Hong, I guess is how you say his name, and he also discussed Cosmos.
[00:04:30] It's a base model that understands graphics or the physical world around us.
[00:04:36] All right.
[00:04:37] You know how ChatGPT understood kind of language and stable diffusion and all this kind of stuff?
[00:04:43] Yeah.
[00:04:43] It was a base model.
[00:04:44] Well, NVIDIA's got this now Cosmos thing, and it's the model that understands friction, inertia, gravity, object presence,
[00:04:53] all this kind of stuff.
[00:04:55] And they say this thing is going to be huge.
[00:04:56] So the point is they've got this underlying framework called Cosmos that really drives a lot of these chips and their capabilities.
[00:05:03] That almost sounds like a graphics engine, like the Unreal Engine or something that you would run on top of a graphics processor.
[00:05:09] Yeah, that's right.
[00:05:10] Or are they building this into the hardware?
[00:05:12] Well, they're working on building it into the hardware to some degree.
[00:05:15] They say a world model like Cosmos is necessary because if you want AI to be able to operate properly and interact in the, quote, physical world,
[00:05:26] you've got to have AI that understands it.
[00:05:31] So anyway, they're building this into more and more of the hardware.
[00:05:37] They say these processors will increase efficiency.
[00:05:41] They'll have longer battery life, artificial intelligence enhancements to boost performances or performance for enterprise makers,
[00:05:49] not to mention gaming customers.
[00:05:52] And anyway, kind of fascinating.
[00:05:55] But here's the other interesting tidbit about this, I don't know, special NVIDIA.
[00:06:02] And I know a lot of people are kind of thinking, Sam, why would you focus so much on NVIDIA?
[00:06:06] Because I believe that they're really the unsung hero of AI going forward.
[00:06:11] And they're going to get bigger and bigger and bigger because, really, all the AI-capable crunching,
[00:06:16] all the bit-mining crunching, all the modern, quote, whatever you want to call it, killer apps or whatever word you use for this, right?
[00:06:25] Yeah.
[00:06:26] This CEO is by the name of Jensen Hong.
[00:06:31] And he says this.
[00:06:32] There's a debate, and he got asked this question.
[00:06:34] Hey, you know what?
[00:06:35] What's AI going to do?
[00:06:36] Is everything going to be generated by AI?
[00:06:38] And he came back and said, PC games will never be entirely rendered by AI.
[00:06:44] Mark Hatchman wrote the article for this.
[00:06:46] The CEO, though, this Jen's guy, hey, it'll never be completely AI.
[00:06:51] And it's interesting because he explained why.
[00:06:55] And I find the description of why kind of fascinating.
[00:06:58] He says this.
[00:07:00] He says this.
[00:07:00] You can create AI that's really intelligent, and it can even learn from itself, meaning it can continue to update its database and gain knowledge and continue to kind of have iterations of increased understanding.
[00:07:12] But, Jay, unless a human provides a reference point and parameters around its understanding, then you don't have artificial intelligence.
[00:07:27] That's why it's artificial.
[00:07:29] That's probably true.
[00:07:30] He's basically saying he's just saying, look, because take any item in the world that you want to do, whether it be a graphic, an audio clip, a video, sound, something in the real world, whatever you want to do, blurring, you know, digital, virtual, real world, all that.
[00:07:45] Take any item, anything, word, whatever, unless you have a reference point of understanding, unless you give it the guidance to put it in the realm of its reality, okay, then you don't have anything to relate it to.
[00:08:00] It's like the training data that you need.
[00:08:03] It's not only the training data, but it's the guidance of how to use that training data because the data is there for a gazillion reasons, a gazillion purposes.
[00:08:12] But unless you give it some guidance, some direction of what you're wanting from it.
[00:08:17] In other words, there's got to be a brain above the brain, Jay.
[00:08:20] Otherwise, what are you outputting for?
[00:08:23] Right.
[00:08:24] And I know this is stupid, but you go back to the garbage in, garbage out idea, and it relates.
[00:08:28] If you don't put enough clarity for what you're wanting, how can it know how to do that?
[00:08:35] Let's just say you take an elevator, and there's a physical elevator, and there's a virtual, I don't know what you want to call it, representation of that elevator on a map.
[00:08:45] What does that mean, Jay?
[00:08:46] Just because that exists, unless you have a purpose for it, without that purpose, what good is it?
[00:08:53] Agreed.
[00:08:53] It needs to understand what it's for and how it works in order to replicate it.
[00:08:58] What it's for, how it works, but how you want to relate to it, too.
[00:09:02] If I start out and say I'm blind, then it's already starting to, quote, AI, the thing.
[00:09:10] It's already starting to apply its artificial intelligence.
[00:09:13] It says, okay, a blind person probably first might want to know where the elevator is.
[00:09:16] They might want to know how to or where the buttons are.
[00:09:19] They might want to know, you know, how to know what's on what floor.
[00:09:22] They might want to, okay, you already have this context that this person can't see, and therefore they, okay, same thing with somebody in a wheelchair.
[00:09:30] If you say wheelchair, now you're not talking about finding the buttons.
[00:09:36] Somebody in the wheelchair can find the buttons.
[00:09:37] They can see them.
[00:09:38] But are they too low or too high to effectively reach them from a wheelchair is the next question.
[00:09:44] Okay, see what I mean?
[00:09:45] Those one words, what if I just said elevator to a sighted person?
[00:09:49] Well, then you're kind of thinking, okay, well, where's this elevator's relevance?
[00:09:54] Like, is it in a building I'm going to?
[00:09:56] What is my purpose to even interact with this elevator, right?
[00:10:00] And so I'm just giving simple examples of the point he's broadly making.
[00:10:05] It's a brilliant point.
[00:10:06] Well, there were some guys that are in the tech world that kind of disagreed with him and said, yeah, AI will generate all this stuff eventually.
[00:10:13] I don't see how.
[00:10:14] I think his logic about this is brilliant.
[00:10:17] It's kind of where a lot of people believe robots are going to take over everything, Jay, and I say they're not.
[00:10:22] What do they do if we don't have purposes or tasks for them to do?
[00:10:25] Why would they do tasks by themselves?
[00:10:28] And where will they get the energy, the power, the direction, the clarity to do these things?
[00:10:33] Why would they want to do them?
[00:10:34] In other words, why do you need a clean house if you're a robot, Jay?
[00:10:37] Right.
[00:10:38] I mean, I understand that, but unless they come up with their own directives and their own goals and missions and what they want to accomplish, then you could have.
[00:10:47] Whose goals and missions?
[00:10:48] The robots.
[00:10:49] Yeah, but where are they going to get those goals from?
[00:10:52] Well, that's the thing.
[00:10:53] I mean, we're not, we haven't said that we've come to any kind of singularity point or anything, but if something like that happened and something became where it had its own goals or it started thinking over and over and creating what it wants to do, whether those goals are good or bad, you know, it could try to execute those.
[00:11:18] Yeah, I understand what you're saying.
[00:11:20] Anyway, there's another guy that's like this expert, Frank Azar, I guess is his name.
[00:11:26] He's the chief architect of gaming solutions or whatever.
[00:11:30] He basically says, yeah, it'll, it'll all be AI.
[00:11:33] And this Hong guy disagreed and just said, it just can't be.
[00:11:37] I understand what you're saying, but you've got to understand that at some point it runs out of reasons.
[00:11:42] It runs out of logic.
[00:11:43] It runs out of purpose.
[00:11:46] The problem with, anyway, the problem with AI generated in gaming is it's almost like a dream.
[00:11:52] You know, you look at something here and you turn away and you look back and it's not the same anymore because it's just being generated on the fly by the AI.
[00:11:59] Whereas if you have a map in a room that's been generated kind of physically in inside of a graphics engine, all that stuff is static and stays there and allows you to move through it and, you know, manipulates the light the way it should be and all that kind of things.
[00:12:15] That's the problem with, I think, with AI gaming is it's going to be like you're in this dreamland where anything can happen and nothing stays the same.
[00:12:23] It's like hallucinating.
[00:12:25] Yeah, and so at some point if that's the case, then what becomes the purpose?
[00:12:30] I don't know.
[00:12:31] I don't know.
[00:12:31] I've seen some really cool.
[00:12:32] So here's the point.
[00:12:33] Unless you have rules to the game, no one can know what they're even doing, Jay.
[00:12:37] Right.
[00:12:38] I mean, I agree.
[00:12:39] I've seen some cool renders of things from Doom to all kinds of different graphics and stuff like that done by AI and it does an impressive job.
[00:12:48] It's really interesting, but it is not as useful as having the games in the standard ways that we use them now.
[00:12:57] Well, and that's the guidance that Hong's talking about.
[00:13:01] He's saying the question is you've got to have reference points.
[00:13:04] You've got to have frameworks.
[00:13:05] You've got to have something to rely on.
[00:13:08] Agreed.
[00:13:08] Now, if you want to say that we're all going to agree with what AI comes up with as the rules, can AI write rules?
[00:13:15] Yes, but not without any guidance, Jay, because it doesn't know what you want or what you're trying to accomplish.
[00:13:21] I agree yet, but I think that it will.
[00:13:24] I think that, you know, I guess I'm on the side of the fence that it's going to continue to get better.
[00:13:28] It's going to figure these things out.
[00:13:30] And I'm not saying that it's ever going to be sent.
[00:13:32] I don't know if that will ever happen, but I'm just saying that I think that it will continue.
[00:13:36] And for somebody to sit back and say, oh, well, you know, AI will never be able to render a game like we can.
[00:13:43] I think that's kind of like Bill Gates saying, you know, you never need more than 640K of memory.
[00:13:49] Yeah, so no one's saying that AI can't generate its own game and AI can't dream up a game.
[00:13:54] And AI can't come up with rules that apply to that game and everything else.
[00:13:57] But it only can do it with some guidance from some greater source outside of itself.
[00:14:05] Correct.
[00:14:05] Right now, that's the point this guy's making.
[00:14:08] And whether that changes or not is the core of the debate, Jay.
[00:14:11] Right.
[00:14:12] And this Hong guy is saying it can't be done.
[00:14:14] I'm saying I agree that it can't be done.
[00:14:16] Because at some point without that reference, without that, it doesn't.
[00:14:20] Where does it go?
[00:14:21] And how does it serve the purposes of, say, a human?
[00:14:25] I'm just not as so sure as you guys.
[00:14:26] I think that it could get better and it could generate that stuff.
[00:14:31] And we could.
[00:14:31] I mean, I'll tell you this.
[00:14:32] You just look back five years ago.
[00:14:34] We never, never thought that AI would be where it is today.
[00:14:38] I mean, that was stuff on Star Trek.
[00:14:40] That's movies.
[00:14:41] That's like the flying cars of the future.
[00:14:44] And here we are.
[00:14:45] We're two years into it now.
[00:14:47] And so I would never say never, Sam.
[00:14:50] And the fire hydrants run out of water.
[00:14:53] I think the fire hydrants, the dam's just starting to break.
[00:14:56] I think that there's really a lot to happen still.
[00:14:59] I think you're right about that.
[00:15:00] And I think it'll shock us over and over and over and over how intelligent it can become
[00:15:05] and how smart it can become.
[00:15:07] I think it can replace industries and jobs and whole purposes.
[00:15:10] You know, I mean, now they're starting to say, listen, can you just have an AI help desk for IT
[00:15:14] and they don't need you and me, Jay?
[00:15:16] Right.
[00:15:17] Do you think that's reality?
[00:15:19] Um, I think, yeah.
[00:15:20] I mean, I know people who can like use ChatGPD and figure out things that they wouldn't normally
[00:15:26] be, but those are kind of the people that are more technically inclined anyway.
[00:15:29] Not everybody's going to be able to use that solution.
[00:15:31] Um, well, what happens when they get stuck to where do they go?
[00:15:34] Well, they're going to have to go to IT.
[00:15:36] But the, okay.
[00:15:37] So the difference is this right now, can an IT do a help desk?
[00:15:41] Or let me say, can AI run an AI, a tier one help desk?
[00:15:45] Probably.
[00:15:45] Yeah, absolutely.
[00:15:46] Right now.
[00:15:47] You know, it just says, Hey, have you tried to reboot your computer?
[00:15:50] Is it plugged in?
[00:15:50] Is it, you know, these kinds of dumb things that sometimes somebody just needs hand-holding
[00:15:54] through.
[00:15:55] Um, and will it be smarter over time as we build the database to become tier two?
[00:15:59] Yes, yes, yes, yes.
[00:16:00] Will it be able to log into their computer and fix it?
[00:16:03] Maybe.
[00:16:03] I mean, pretty soon.
[00:16:04] Yeah.
[00:16:04] But you're still going to need experts in the field at some point right now.
[00:16:09] Right now you still need it.
[00:16:10] But can it, but can it do tier one?
[00:16:12] Maybe a tier two?
[00:16:14] Maybe.
[00:16:14] But.
[00:16:15] So let's ask the ultimate question to bring this to ground then.
[00:16:18] Cause I think this debate I find fascinating and I think there's people on both sides of
[00:16:22] it.
[00:16:23] Justifiably, we don't know the answers, but here's the real question.
[00:16:25] Let's say that robots can do everything now and you don't need people.
[00:16:28] Okay.
[00:16:30] Then what?
[00:16:32] Then it's like, uh, by and large, you know, Wally, we're just floating around on, uh,
[00:16:37] on big recliners slurping cheeseburger slurpees.
[00:16:40] Why?
[00:16:42] I don't know.
[00:16:43] I mean, what I mean is what for?
[00:16:45] Just so you can sustain your life?
[00:16:47] Well, if the robots are smarter than you and control you and decide everything and you don't
[00:16:50] decide anything, there's no purpose to have you wasting resources.
[00:16:53] No, there'll be other goals.
[00:16:54] You, you, you want to see interstellar.
[00:16:56] Goals by who?
[00:16:58] By humans.
[00:16:59] No, humans don't have goals.
[00:17:00] Robots know more than the humans do at this point.
[00:17:02] They, they, they make up the rules and they got, they run the government.
[00:17:05] They do everything.
[00:17:06] You don't need to do anything in that hypothetical scenario.
[00:17:09] You're a worthless eater.
[00:17:11] Robots may decide that resources.
[00:17:13] They may decide that.
[00:17:14] And that's the, that's the thing.
[00:17:16] Some people are worried about myself included.
[00:17:19] The robots may be like, we got this.
[00:17:22] We don't need you guys.
[00:17:23] I think you guys are fooling yourself.
[00:17:24] Thinking the creation can be greater than the creator.
[00:17:27] That's the part that you're missing.
[00:17:29] No, that, that gets philosophical quick.
[00:17:31] So it does, but I've never seen, can you show me anywhere?
[00:17:34] An example where the creation is becomes greater than the creator.
[00:17:39] Not off the top of my head.
[00:17:41] No.
[00:17:41] All right.
[00:17:42] Anyway, Panasonic is increasing their AI investment big time.
[00:17:45] That's something that they wanted you to know as well for the CES.
[00:17:52] Samsung Electronics wants you to understand they have a clear focus on commission, commitment
[00:17:58] to making AI completely ubiquitous.
[00:18:02] Yeah.
[00:18:02] They want it everywhere.
[00:18:05] Dell was in there.
[00:18:06] They had this cool kind of imagery where they made people feel like they were flying and
[00:18:10] this kind of stuff.
[00:18:12] Now, this is interesting.
[00:18:13] LG, I don't know if you know that LG has a portable TV.
[00:18:16] Did you know that, Jay?
[00:18:18] I saw some portable TVs in some of the coverage from CES.
[00:18:22] And these are like, some of them suction cup to a wall and they have long battery life
[00:18:27] that can go, you know, 60, 80 hours.
[00:18:30] Somewhere in a case for travel.
[00:18:31] Yeah.
[00:18:32] I don't know the practicality for that.
[00:18:34] I don't either.
[00:18:35] That's why I'm bringing it up.
[00:18:36] I don't get it.
[00:18:37] You know, if you're having a pool party and you want to bring a TV out there, okay.
[00:18:42] I could see that.
[00:18:42] But I don't know.
[00:18:45] Nobody wants to charge their TV, right?
[00:18:48] We already got to charge our cell phones.
[00:18:49] But nobody else wants to haul around their TV.
[00:18:52] Now, I guess if you are going to make a presentation in an unknown location and you're like, hey,
[00:18:56] I'll bring my own TV screen.
[00:18:57] Okay.
[00:18:58] I mean, I kind of get it.
[00:18:59] But anyway, they call this thing the Stand By Me Too, Jay.
[00:19:02] Okay.
[00:19:03] It's an upgrade.
[00:19:05] It's higher resolution.
[00:19:06] It's got longer battery life.
[00:19:09] It's a 27-inch battery-operated TV that comes in a carrying case.
[00:19:15] It went viral last year, they claim, thanks to its, quote, convenient and economic form factor for travelers.
[00:19:22] I just don't understand it, Jay.
[00:19:23] I don't see any value to that thing.
[00:19:25] Maybe it's like the smartwatch and at first we don't get it and if we had one we would.
[00:19:28] I don't know.
[00:19:29] But I'm just, I've never really thought, man, I just need a portable TV for heck's sake.
[00:19:33] You're just not going to enough BYO TV parties, I guess, Sam.
[00:19:37] I guess.
[00:19:37] I don't know.
[00:19:38] Do people bring them to LAN parties?
[00:19:39] What's the purpose?
[00:19:41] I don't know.
[00:19:41] And what's the difference between a TV and a monitor over time, right?
[00:19:44] Well, and they are.
[00:19:45] They're monitors.
[00:19:46] They're kind of cool.
[00:19:48] I mean, they have these trays that can come out so you can put your Chromecast or your Roku stick in there and it hides it and all that kind of stuff.
[00:19:55] But I just don't understand it.
[00:19:57] I don't understand why people need TV running all the time everywhere they're at.
[00:20:01] Like, I don't get that either.
[00:20:04] Honda was there.
[00:20:06] Honda was at the show showing their new EV models, electric vehicle models and everything else.
[00:20:10] I'm just not very fascinated with electric vehicles either.
[00:20:13] I mean, I'm fascinated with their pure power.
[00:20:15] I'm fascinated with, you know, their quiet, you know.
[00:20:18] I mean, there's really cool things about them.
[00:20:20] Don't misunderstand me.
[00:20:21] But I guess I just don't see the green side of it.
[00:20:24] I just think it takes the pollution and puts it in a different spot in the world or a different spot in the eco chain or whatever you want to call it to where it may not be as visible, but it's still there.
[00:20:35] And people pretend it's not is what's interesting to me.
[00:20:37] Robots of all kinds were there, Jay.
[00:20:39] Okay.
[00:20:39] So, you know, they still say it's going to be 20, 30, whatever years before you get a serious robot.
[00:20:44] I mean, they're super expensive.
[00:20:46] Anyway, it's interesting.
[00:20:47] I saw a cool car.
[00:20:49] This wasn't at CES or anything, but it's releasing at the same time.
[00:20:52] It's a Chinese sports car.
[00:20:55] I think it's called the A6.
[00:20:57] But one of the things I've never seen any other car do this is it has active hydraulics in it, and it can jump potholes, wire spikes, or tire spikes, I mean, or anything like that.
[00:21:12] Completely just in the suspension of the car, it can jump over these things, you know, while it's being 100 miles an hour.
[00:21:19] Awesome.
[00:21:19] When you're in a traffic jam, people getting all impatient, they press the jump button, this is going to go really well.
[00:21:24] When I say jump, it's more like flyover, and I'm talking inches, not like jumping feet in the air.
[00:21:33] I understand.
[00:21:34] It's just incredible.
[00:21:36] You know, they also showed that same car on somebody's cell phone using the accelerometer in their cell phone, and you could tilt your cell phone all around in the car.
[00:21:44] It's kind of gimmicky, but they were showing off the power and responsiveness of the hydraulics on the car.
[00:21:50] So they're doing some cool stuff there, too.
[00:21:53] Well, Sony had its commitment to video games, which was kind of interesting.
[00:21:58] Toyota's Innovation Lab, they're showing off their new software that's supposedly going to be awesome.
[00:22:03] This is one thing that I find fascinating.
[00:22:05] Whenever I go to a car, all the car systems that you connect to your phone for maps and music and everything else, they all suck.
[00:22:11] They're no good.
[00:22:12] It's a tragedy, and I'll tell you why.
[00:22:14] They really need to run, like, Android or some kind of standard thing or Apple CarPlay because you're building all of these unique systems.
[00:22:23] And when the car is 10 years old, these systems are dated.
[00:22:26] They're not being updated anymore.
[00:22:30] They're wonky.
[00:22:30] They don't really work.
[00:22:31] Yeah, it's trash.
[00:22:33] I mean, it's really, in a lot of ways, hampering cars to try to build in.
[00:22:38] And even Apple CarPlay is like that, in my mind.
[00:22:40] It can be.
[00:22:41] Yeah, depending on what version you're on and things like that.
[00:22:44] Well, because a lot of times I connect by Bluetooth, and then it wants to control everything and put my phone calls and everything through there, and I don't necessarily want that.
[00:22:53] And so I've learned to try to connect with a wire because then you can get the charging that you need, and you can control a little bit better what happens.
[00:23:00] But it's just difficult.
[00:23:01] I don't understand why somebody can't sit down and design something that really is flexible in modern time.
[00:23:08] Even the best of the best is antiquated in my mind.
[00:23:11] I know.
[00:23:12] I'd like to see somebody come up with an open source car operating system that allows things like your phone to handle the AV and the audio and all that kind of stuff, the things that want to change with consumer taste over the years.
[00:23:26] But this hardened, open source car operating system runs everything, like the flashers and the headlights and the things that you need to do, the computer, the telemetry, things like that on the car, and just get that rock solid.
[00:23:42] We don't need everybody rolling their own.
[00:23:44] It's like when people roll their own crypto.
[00:23:45] There's always problems with it.
[00:23:47] Well, and to make matters worse, I even literally tried to set up somebody's phone to connect by Bluetooth so we could listen to something.
[00:23:54] We're trying to listen to a meeting that we weren't able to make for business and we were going traveling somewhere, but we needed to have the meeting information before we got there.
[00:24:01] And so we wanted to listen to it on the way, which is great.
[00:24:04] And so I tried to set up somebody's Bluetooth.
[00:24:06] They're like, you can't set this up because the car's moving.
[00:24:09] Yeah.
[00:24:10] Like, I know, but I'm a passenger for crying out loud, you idiot.
[00:24:12] Come on.
[00:24:13] Anyway, it's just frustrating.
[00:24:15] So hopefully they can get this done, whether it's in the Toyota's lab or wherever it is.
[00:24:23] Hopefully they can get the last thing for you on this episode.
[00:24:27] Holograms for everyone, Jay.
[00:24:28] You get your own special hologram, buddy.
[00:24:30] Yeah.
[00:24:31] I saw some demos of that.
[00:24:33] It leaves a little bit to be desired.
[00:24:35] We can talk about it later.
[00:24:36] Yeah.
[00:24:37] That makes you not believe that I can take over the world, though.
[00:24:39] I'll tell you that right now.
[00:24:41] All right.
[00:24:41] Thanks for being alongside for the ride.
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