The Biggest Ai Announcements From CES 2025

One of the things at CES was last night, Jensen gave his big keynote, AKA tech Taylor Swift. Right. Like, you know, the second they announced him and, like, he was walking out on this stage, people were, like, standing and cheering and screaming. In my opinion, the bigger news and the things with the bigger implications of the AI world are project digits or just digits. You're going to have a model that's good enough to do anything you want.

So you're saying that basically Nvidia is going to be the big player, not OpenAI.

Hey, welcome to the Next Wave podcast. I'm Matt Wolf. I'm here with Nathan Lands, and I am reporting into this episode from CES in Las Vegas. You know, in this episode, we're going to deep dive into the future of AI as we're sort of seeing it unfold here at CES this year. You know, we hear a lot about these companies like OpenAI and Anthropic and Google and all of the big, massive companies building AI. But is the big winner the company that everybody's really going to remember when it comes to AI in the future? Is it really going to be Nvidia? Well, that's what we're going to discuss in this episode, because I'm spending a ton of time with Nvidia out here, learning what they're up to. They just put on a massive keynote where they dropped some huge announcements. We're going to get into all of that, as well as some of the coolest tech I've come across at ces. And my overall thoughts on CES and Nathan and I were just going to nerd out on this one with you, so let's just go ahead and dive right in. I think maybe where we should start is probably the whole Sam Altman thing, because that kind of came out, like, right before I got to ces, right. He put out a blog post and essentially said, we know how to get to AGI. Like, we've. We've got a path to it. We know we're going to hit AGI. It's going to be 2025 that we hit AGI. Our new mission is ASI. So I actually haven't read the blog post yet. I've just been in conversation with other people who have read it. I'm assuming, Nathan, maybe you did read the blog post, so you have a little more ins.

He basically makes it sound like AGI is no longer a big deal. Like, we definitely know how to reach AGI, depending on your definition, maybe it's coming or has already come or will be coming very soon. He also talks about not really a prediction. He basically said that he believes that in 2025, we are going to have agents that do meaningful work in organizations. And he thinks that's going to be a huge turning point with AGI and for AI in general. We've been hearing rumors of that, but it sounds like they must have some kind of examples of that actually working of, like, agents going off and doing meaningful work for people. And he talked about asi, you know, like, hey, now that we know AGI is like a given, we definitely know how to do that. We need to be aiming for asi. And he didn't say that they know completely how to get there, but his confidence of getting there seemed way higher than when he's talked in the past.

Right, right, right.

People on Twitter were like, holy crap. So, like, obviously this test time compute stuff with like, what, 01 going to O3 and how fast that's improved, they must be seeing signals internally that there's no end in sight to those improvements. That's probably what's going on.

It sounds like they can, they can, they know how to get to AGI. Right now it's probably mostly like an energy cost issue. Right. Like we saw with O3 to, you know, it got these high benchmarks on all of these tests, but to do it, they had to spend thousands of dollars per task.

That.

So I think like, the real barrier right now is like, okay, Maybe they've got AGI internally, but it costs $10,000 per task to do it, which is not feasible for like, any human, like any individual, much less, like, and maybe barely any businesses. Right. So it's like, Right. I think they do actually know how to get to AGI. I think AGI is probably more on the inference side, right. Where it's not really running new trainings, but it's really that ability to like, think and double check and triple check and quadruple check its work and then give you its answer on the inference phase, which is going to get us to AGI. That's, that's sort of the, the, the, the, the sense that I'm getting from.

It all with asi, he's talking about, like, you know, solving cancer and like environmental issues and just any kind of problem humanity has having a almost like godlike intelligence that can help solve those problems.

To me, it seems like if they can figure out AGI, ASI doesn't feel too far off after that. Right. Because, like, now you have the AGI who's helping you figure out how to get to asi, right? It's like, at that point, once you have an AGI, you don't necessarily need a whole bunch of humans figuring out how we get to the next phase beyond AGI. You have an AGI that helps you figure out how do we get to the next phase beyond AGI.

I'm just blown away by, like, what it can do. You know, people said, like, Claude's really good for. For coding, but I've been testing Claude versus 01 Pro a lot. And, like, Claude is great for making very minor little changes, but it gets confused so easily. Like, if you throw it a large project, you know, it's like, hey, yeah, let's create this new function. It's like, well, I already have this function. Like, what do you. Why are you making a second one of the same thing? Or. Or it'll be linking things up incorrectly or all, you know, all kind of things it'll do because it just gets confused. I have not seen 01 Pro do that once.

Yeah, yeah.

You know, it's just like, I don't think people. I don't think most people realize, and the fact that OpenAI is saying, oh, yeah, and O1 Pro is not even that good. Like, we. We have something already, like, five to ten times better, and there's no end in sight. It's like, I don't think people are processing what that means. Yeah.

You know, but, you know, I'm also. So, like I mentioned, I'm at CES right now, so if you're watching this on the video, that explains while I'm in a hotel room. But one of the things at CES was last night in. Jensen gave his big keynote, AKA Tech Taylor Swift. Right. Like, everybody, like, fan girls out whenever Jensen Huang's in the room. And, you know, the second they announced him and, like, he was walking out on the stage, people were, like, standing and cheering and screaming and, you know, flashing them and, you know, no, not that.

That didn't happen, but you put flash. We're still using. We're still using flash memory. Is that what you're.

You wouldn't be surprised if it happened, though, right? There are those pictures of Jensen SW signing a woman's chest. So anyway, you know, he's the rock.

Star of our generation. Like, we don't. We don't have many of them, so, you know, he's.

He's.

He's one of them.

Yeah, yeah, yeah, exactly. So. But he came out, you know, the. The big thing that everybody at CES was the, I think the most excited about, because it's the Consumer Electronic show, was probably the fact that we got these Nvidia RTX 50 series, right? He said that the Nvidia 5070 is just as powerful as the 4090s that you get. Now the 4090s cost 1600 bucks, right? Now these new 5070s cost 550 bucks and are just as powerful as the 4090s. Supposedly. There's some controversy around that as well. People are saying, you know, it's not necessarily as powerful, it's like close to being as powerful. But then there's some like, upscaling that happens on the GPU that the old ones don't have. So it's not quite as good. And there's some additional latency issues. I don't know all of like the technical issues or anything yet, but a lot of people are going, he's claiming it's the same as the 4090s, but it's, you know, if you look at the specs, it's not technically the same. But anyway, that's what most of the people I think were here to hear about. That got like huge cheers. Everybody was excited when they, when they talked about that. The other day I used ChatGPT to sort through the latest AI news and, and tell me what order to talk about them in my YouTube videos. And I was honestly surprised at how spot on it was. One of the biggest tips I give to people still building their confidence with ChatGPT is simple. Just start throwing prompts in and see what it can do. Now, to help you get rolling, HubSpot put together a free guide with over 100 prompts you can start messing with right now. Trust me, it's going to help you unlock some serious potential. You can grab it in the link below. Now back to the show. In my opinion, the bigger news and the things with the bigger implications of the AI world are more about the Project Cosmos. The. I don't know if they call it project Digits or just digits.

So digits. That's the personal computer, is that correct?

The personal, like super computer, supercomputer. I feel like that is kind of a big deal, right? Like that is something that over time I wonder if that's going to affect, you know, open eyes and anthropics and Google's business models. Right? Because pretty soon anybody can have a computer that's like just as powerful as these cloud computers that a lot of these other companies are running with sitting on their desktop. And you know, if you've got enough money, you can stack them together. And right now they cost three grand each or you know, whenever they're released. I don't think they're out yet, but when they're released they're going to be about three grand each. And you know, Nvidia has their own version of like Llama that they fine tuned and optimized to work with their own computers. But it makes me wonder like, is the future of all of this stuff going to be like the edge computing? Is it going to be like, is it going to skip the cloud? Are people going to even want to use things like open AI when they can just have their own box? And right now, yes, they're three grand. But you know, what are they going to be two years from now? Look at what they did with the RTX series. The 4090 was, is $1600 to this day. The 5070 is now $550 and supposedly just as powerful. So if these things are three grand right now, maybe next year they're 1500 bucks. Maybe the year after that you have a personal like supercomputer in Your house that's 700 bucks that runs models as powerful as ChatGPT. I don't know. So I wonder like, how does, how does that impact a lot of these big AI companies?

Yeah, you know, you talked about this before about, you know, in the future, are people going to be using something like ChatGPT or are they going to have the models just running on their own in their own house? It does feel like that OpenAI will always have the best models. But yeah, you might have for like daily usage that the models get so good and that the, you know, the compute gets so cheap that yeah, you could have your own private one in your house for daily stuff because you really don't want, you know, the other companies just knowing like, oh, I'm talking to the AI all day or like they can hear every single thing I'm saying.

You know, use these little like supercomputers. You don't even need to be connected to the Internet. Right. You could be like completely offline and just wired into it and it will run all the inference on there. You know, maybe someday you'll even be able to like train your own AIs and fine tune on these things as well. So like, I don't know, I feel like that could be more of the future. I mean, I do think OpenAI and you know, maybe Anthropic and Google, they will always be the more state of the art, the more cutting edge, the furthest along further than what you can run at your, your house. But at some point you get to this level where the model's good enough for everything you want it to do. So do you really need the most cutting edge state of the art model? Right? Unless you're like using it for like enterprise. Like, you know, unless you have like really, really massive needs where you really want OpenAI or Google or Anthropic or one of these companies, sort of like managing it and making sure you're always state of the art. I feel like we're going to get to a point where you're going to have a model that's good enough to do anything you want, run your own AI agents, you know, pretty much anything you need to do you can do on this computer at your house without actually connecting to one of these cloud companies.

So you're saying that basically Nvidia is going to be the big player, not OpenAI.

So that, that is, that is interesting. So I could imagine a future where like a look for like, it's definitely going to get in the next few years where like AI voice, like talking to the AI and being able to interact with your calendar and your email system and all this kind of stuff that's going to be very simple very soon. And so I could imagine you would want all that just be on like a local machine that you're running and then you probably could even have the AI help kind of manage your privacy in terms of like, okay, I want to keep this information private, but I'm okay with you interacting with ChatGPT but for this, you know, because I'm, I'm managing all my agents to build various companies or whatever I'm doing with it in five years from now. And I want you to help kind of manage what I'm, I'm willing to share with it. Not that, you know, so you got, you have your own like private, personal, you know, AI interacting with the more powerful publicly owned or the, you know, the like companies like ChatGPT.

Yeah, yeah. I mean, I do think it will get to a point where like the AIs sort of interact with other AIs. I think that's kind of inevitable. Right? So it's like maybe your own personal computer will need to con like in the same way if you use the new version of Siri that's on the Apple, the iPhone 16 plus or Pro or whatever, right? Like if you use Siri, it's got its own like edge AI on The phone where it can answer questions and do some really basic responding right on the phone. But if it's a little bit more complex of a question, it'll say, can we ask OpenAI? Right. So I think it'll probably be that type of thing. But yeah, I think it's just interesting to think about. Like, do a lot of these big AI companies, do they stay really like consumer tools far into the future or does the consumer stuff move more to these, like the hardware that you own at home? I don't know. I feel like Nvidia presented a future where maybe it is more like Edge Compute, like at home, like you have your own devices.

I guess it's like the question, will people ever care about that?

Yeah, yeah. I mean everybody's going to prioritize different things, right? Like right now.

Big companies, if they wanted to, they can build their own server farms and run everything locally if they wanted to, or they can, you know, cut costs and, and run it on the cloud. And if you're running it on the cloud, there are some inherent risks, right. If you lose Internet connectivity, do all of your systems go down for the day because you can't access the cloud? Do you know exactly what information your cloud provider is able to see on your stuff? Right. There are like issues with the cloud. So it really depends on like what the company or the people are going to prioritize. You know, us being like techie AI type people, we'll probably always continue to sort of be on the bleeding edge and try it all and you know, use both versions of it to see, to see what can do what.

But yeah, I mean my use case right now on how I've been using AI recently, like it kind of fits with the whole idea of having your own private for like just like conversational stuff and then for like work have the strongest models. Because like right now like what I've been doing recently when I've been like, you know, getting really hands on with AI by like developing this game demo, what I'll do is I'll be, I'll be having 01 Pro generate code like for like new features and things like that. And sometimes it takes it like five to seven minutes. And so while it's doing that, I'm often going to Claude and, and then sharing like my specs document about my game and then having conversations with it. You know, I use voice like the, I have a button that like transcribes what I say in voice to text. I'll be sitting there talking and then just like going back and forth on different ideas and updating that specs document while I'm waiting for the code to, to, to finish. Right. And so I could definitely imagine like that in the future where like for like daily use you could have your own private computer, you're chatting with it, but then when you want to do some hard work, maybe you send it off to the super asi, which may take a minute, may take an hour, you know, if it's something super complicated.

Yeah. And I think, you know, if, if, if you're building things like spec sheets and you say like this is how it should perform and this is what this screen should have on it and this is what this screen should have and when you press this button, this is how it should react and you have all of that kind of stuff. I imagine these AIs are going to be able to test to make sure everything works. And it's like own virtual environment. Which you know, sort of brings me to like the other big thing that Nvidia talked about, which was their Project Cosmos wasn't, you know, really the exact same thing we're talking about here. But they were talking about this Project Cosmos as like the, you know, the digital twin concept, the sort of virtual world where you can put, you know, self driving cars or you can put robots or whatever inside of these virtual worlds, test them in the virtual worlds, train them in the virtual worlds and then once it's working perfectly in these virtual worlds, then you deploy them into the real world. Right. And they've already sort of announced that I was at Nvidia GTC last year and they were already talking about that as like part of their Project Groot and stuff. But I think this, I think the new thing about Cosmos, this was one thing I was a little unclear about. I was talking to somebody after the keynote and we were kind of confused about like this whole digital twin thing. Jensen's been talking about that for the last like, you know, year and a half, two years now. Like how is this Cosmos thing that they announced this week different? And the major difference that I noticed was that he was actually entering prompts just like you'd enter a chat GPT prompt or just like you to enter a prompt in like stable diffusion or mid journey to give it scenarios to try. Right. So he was like, let's say for example, putting a self driving car inside of this virtual environment and then he was prompting things like, oh, there's a snowstorm and a ball rolls into the street and what should the car do? Run Every possible scenario that the car can do and let's figure out the optimal scenario. Right? They were actually typing prompts into the prompt box to generate different scenarios. And to me that's really, really interesting. It's like it goes back to, I mean there is a black mirror episode that kind of does this with like the, the whole like dating scenario where it, it plays out every possible scenario and then finds like the best match for somebody. Right. That's essentially what this cosmos can do in like a self driving car environment or robots or you know, whatever you want to test it with. That's what it can do. You build this environment, it plays out every possible scenario it can imagine and then gives you the optimal solution for, you know, whatever scenario you enter. Which is pretty mind blowing to think about. But that's, that's kind of what Project Cosmos is doing. And they're open sourcing it. So they're, they, they literally put it up on GitHub so any companies can go and use it. So that's, that's pretty wild as well.

That is, that is wild, like imagining too. I'm sitting there like, God, imagine like you're using, you know, Claude or ChatGPT or whatever to help generate the prompts. Even like what are all the things we should test? You know, because I've been doing that kind of thing with like game development, like what are all the things I should test? It can help come up with all those prompts and so you could have AI actually coming up with all the scenarios, come up with, you know, a million scenarios to test.

Yeah, yeah, yeah. And I mean coming back to like the game example that you're doing, you know, it's not necessarily like the same sort of virtual environment, but I would imagine it could go and play through your game, run all possible scenarios and find any potential issues with the game that might need to be fixed.

Right.

Think about like a long, like let's say like a platformer game or something that would typically take somebody 10 hours to beat. You know what happens if there's a bug in the game that's like nine hours in that maybe you missed because you didn't hit a certain part of the level and you never spotted that bug. Well, is this going to be able to like preempt any potential bugs that might come out in a game? Because it can run through every potential scenario of that.

I think it will get that. I think first we'll probably have that. I was actually talking to my wife about this the other day. I was like you know, play testing for games is going to get really easy soon or for any software, it's going to get really easy soon because you'll. You'll be able to have, like, probably through computer use first, if I had to guess, because you'll be able to have, like, the computer actually interact with the thing, whether it's a game or an application, and test different scenarios and then see where bugs are, log them, possibly even then look at the code base and, like, identify the bug and solve it. But I assume at some point you could just simulate the entire thing. Like, you know, and that's going to be. You can do that for anything.

Right? Because, like, you still need people to tell you whether the thing's fun or not.

Oh, yeah, of course. Yeah, yeah. It's like. Is it super fun? It's like.

So right now, the day that we're recording this is actually the. Basically the first day of ces. But I did go and sort of speed run the convention center and try to see as much as I can see while I was out there. Some other interesting stuff I did sit in on a Samsung Keynote, and Samsung is all about, like, smart devices. Some of this stuff that they're talking about feels almost like novelty. Like, that's. That's cool. But, like, are people really going to use it once it's installed in their house? Right. Like, they had stuff like AI in your refrigerator, where it'll take pictures inside of your refrigerator and then recommend things for you to buy based on, like, AI. It'll be like, oh, it looks like they're running low on eggs or whatever. And it'll let you know when you're running low on things. They have, like, digital displays on the refrigerator, as the example they were giving is. You wake up in the morning and while you're making breakfast, you can see right on your refrigerator what the weather's going to be like.

And they've been doing that stuff for, like, 15 years now.

Some of the examples they were giving, though, was like more of, like the agent style of, like, it could look in your fridge, see that you're low on eggs, and then send that to Instacart. And then, you know, eggs will just show up at your door without you having to think about it, right? So, like, that's sort of where some of the AI stuff would play in, is like, oh, they're getting low on milk, or they're out of milk. Go ahead and order milk on Instacart and send it. I don't know if you saw that like, demo that I did on my live stream where I told Amazon to buy me some toilet paper and then it racked up $600 worth of toilet paper on my Amazon.

Yeah, there needs to be some kind of control system. But like, as I was saying, like.

It needs that kind of stuff.

It needs to seamlessly tie into the existing AI systems people are using. So like, for example, if I'm using, you know, I'm not using AI voice as much as I expected I would, but I think eventually I will like a few small, more improvements. I think I will. But so eventually if they could tie into some kind of system like that, and then ChatGPT might say, hey, you have all these notifications from, you have a notification from your fridge, you have a notification from email of things I think are important or you need to make a decision upon and that you can kind of just, you can kind of through, you know, natural voice decide upon how you want to deal with things like that. Like oh yeah, I need eggs just. And get the eggs for me. Don't ask me. Yeah, yeah, yeah, somebody's asking me to, you know, to set an appointment. No, I don't like appointments.

Or whatever it is just like deal with all those kind of things and like kind of set the rule set using the AI. I think, I think we're like probably a year or two away from like way more personalization like that. And that kind of stuff can make a lot of sense.

I would say like the CES this year from what I've seen so far. And there's. I haven't even been over to the Venetian Expo yet, which is like a whole other thing. Right, The Venetian Expo, they have this thing called Eureka park, which is only companies that are a year or a year older or newer. Right. So that's all the like cutting edge, brand new like early startups over there. And I haven't seen what's there yet. So I haven't explored that yet. But what I've seen so far has been a lot of like self driving car tech, tons and tons of self driving car tech here and then like Internet of things blended with AI, right? Taking like the IoT stuff and then adding AI, like the example of oh, you're, you're out of milk, send that to Instacart, let Instacart order it for you. They had some other examples of like a Samsung 2in1 washer and dryer and it could like automatically sense how dry your clothes are and then like make it wash for longer if they were still wet or, you know, I don't even remember some of the examples they gave.

But, like, mine in Japan already does that. Don't they already do that in America? Like, yeah, Japan already does all that.

Yeah. There's like some other AI elements to it where you can like, communicate through, like, Siri or whatever or like your Amazon, Alexa or things like that to like, tell it to do stuff. And it's all connected. I did watch the Samsung keynote, but you can tell how impactful it was because I'm already forgetting some of the stuff that they were telling us during it. But it was a lot of that kind of stuff. It was a lot of like, smart washer and dryers, smart refrigerators, you know, smart lighting systems. They were talking about systems that control, like, your heating and air. They notice, like, maybe at night you're wearing like, your Samsung Galaxy ring and it notices that you're like, really, really hot. So it'll like, actually turn up the AC for you. And like, the idea is less and less like, prompting and asking AI to do things, and AI just sort of figuring out what it needs to do and do it for you. Right. Like, I think that's where they're trying to go with a lot of the Internet of Things stuff combined with AI. Is it? Instead of me telling the these things what they should do next, AI will recognize, okay, in the past, he did it this way, so let's make sure we do it that way again. Or, you know, he's, he's looking really hot while he's sleeping. Let's turn on the AC for him. You know, you have smart blinds and you set an alarm for 8:30 and it raises your blinds for you at 8:30. Pretty sure you can already do that.

Different lighting modes would be kind of cool. Like, you know, you like dim lights at certain times or.

Yeah, yeah, yeah. It's, it's, it's all like Internet of things combined with AI. But the idea is they want it to be more preemptive. They want it to be more. You don't have to go and tell these various things what to do. They just know what to do next and give you the results you're looking for without you having to go and ask it to do that. Right. So there's been a lot of that kind of stuff.

I think you need the automatic stuff with the ability through natural language to modify how those things behave, is what I think. I think it's all automatic. Automatic. People are just gonna, like. Some people are gonna hate that. It's like, I want some amount of control over it a bit more, how I can tweak it and then if just make that. So it's. I wonder how that's gonna work. If you'll be able to do that with like ChatGPT and stuff at some point, that'd be really cool. If you could just interact with voice and control all the stuff in your house and like, that'd be awesome.

Yeah. I mean, at the end of the day, I think a lot of it, the way I felt about it sitting through some of these keynotes is I came out of the keynotes going, that's really, really cool tech. I think it's really, really impressive that we're at a point where we can do that stuff now. Other than that, do I really care that much? Do I really feel like it's going to impact my life that much? Do I really, like, want to go and buy the latest state of the art washer and dryer combo or a fridge with a, you know, a giant 30 inch screen on it? Not really. Like, I'm not sold myself yet, but I am impressed.

Right.

And that's how I feel about a lot of what I'm seeing at CES this year is I'm like, wow, that's really, really impressive. Do I want one? Not yet, but it's impressive.

I'm okay with all that stuff as long as we don't have any kind of oppressive government that's like, hey, you have a point system and you don't have enough points. Sorry, we don't like what you said on, on social media. So.

Yeah, you can't, you can't wash your clothes this week. I'm sorry, but like, there's a penalty to like, you know.

Yeah, yeah, yeah, yeah. We've locked your fridge that you can't eat until you get your credit score up.

Yes. You must say something good about the current president, otherwise.

You'Re going to starve. I'm sorry, but that's just how it is.

Yeah. Yeah. But I don't know, like, I, I want to. I'm gonna do some more exploring. You know, I, I actually encourage people to check out like the Nvidia keynote. It's really long. I mean, it was like, I think his keynote went on for almost two hours. I actually ended up leaving early because I had to be at another event. So I left like five minutes before the keynote was over. But the Samsung keynote was really, really interesting. They did show, like, a lot of examples of how this stuff will, like, all tie together and how you know it's going to try to preempt what your needs are before you even prompt it. So I think that's where a lot of the things are going this year. Last year there was a lot of like really cool like TV tech, like some really cool like electronic stuff. And this year like it was like I haven't seen like really insane TVs this year. I love seeing that kind of stuff. Didn't see and like I haven't really seen much yet. All I've seen is like bigger TVs, right? I saw like 127 inch like OLED 8k TV or something. That looks really impressive when it's right in front of you, but you know, it's probably like a $60,000 TV or something. Last year they had like these transparent TVs that were really cool to see. Not really a lot of use cases for like in the home, but really interesting for like businesses. Like you can actually replace.

Like some of the examples they showed last year was you can have like a display case with like all of your pastries in it and then like on the display in front of it it's actually got like digital labels of what each thing is and you can play like animations in front like on the display case. So it's almost like using these clear TVs as your display case. And I thought that was really cool for like businesses. But who, who really wants a clear TV in their house? Like to me it seems like there's more downside than upside to that. But none of that kind of stuff this year. I haven't even seen the same Clear TV's here this year. Like they didn't even, they're not even showing them off anymore. There's a couple like flying car techs. There was a, a flying motorcycle, like a little like a two wheel motorcycle that has like a four like drone propellers, like a quadcopter motorcycle. That looked really interesting. I mean it kind of looks like a death trap because like the blades are like really like right at face level. Like if somebody wasn't paying attention, it looked like they could walk right into the blades. You know they had that, they had that, the X Pang car that looks like a giant van but out of the back of the van is like a little personal drone that you can fly around. They have that here which is really, really cool to see. Obviously they're not flying them, they're just showing them on the expo floor. But really, really cool to see that kind of stuff. In person. But all of it feels so much like concept still, right? It feels like, oh, that's really, really cool, you can do that. But it's so far off from actually being anything anybody's actually going to use in real life.

It's crazy that the tangible stuff is AI. Yeah, it's like, it's like, it's like you told me 10 years ago that the tangible stuff at a CES was the AI stuff. It's like, yeah. What are you talking about? It was like, it was always the AI stuff that was just like, oh, yeah, that's cute. It doesn't actually work. None of it works.

What I want to know is when you were coming to CES, let's say 15 years ago, did they have like flying car concepts and stuff back then? Because I feel like they probably did. It was just a little more archaic than what we're seeing now.

No, no, there was no flying car stuff. You know, actually I helped put a, a video game system in the back. Yoda Prius concept car in partnership with Alcatel Lucent. I was doing this startup called Game Streamer at the time and, and so a lot of it was that kind of stuff. It was like, you know, and it was kind of gimmicky. It's like you got a car, okay, now there's a game system in the back of the car.

A lot of it was that kind of stuff.

Most of the cars that you see here feel like concepts that we may never see. Some of them, I think are actually on the roads. Like they had like WEMO is here that like you can take a like look at what the WEMO cars are. But if you go to San Francisco, you could literally order one up and take a ride in one. So they have that here. Zoox is here, which is like Amazon's Amazon owned self driving car company. Honda showed off some like cool EV self driving cars. One of them almost looks like a, like a Lambo, which is really. Or like maybe like a Lotus. Like a cross between like a Lotus and a Lambo or something, which is really, really interesting. Honda's kind of going down that path a little bit.

Before we wrap up here, I wanted to like go back to Nvidia for a second because there was one thing that I heard Nvidia talking about that I didn't hear you mention. I think maybe it's kind of, it's kind of hard to understand. So I'm still trying to process like what exactly it means. But you know, Jensen talked about with this new graphics card. The way that they're able to achieve so much better performance partially is because they're using AI for a lot of the processing.

Right.

And my understanding was he was saying almost like 90% of the processing of like the graphics was being given to AI. It sounds fascinating if that's actually working. Like, I mean, are they literally just like kind of like outlining the polygons and things like that, then having the AI fill in all the other details.

He was talking about how it's really interesting because the GeForce graphic cards led to being able to create AI and now he's using AI to be able to create better and better graphics cards. And I remember him kind of going, going down that rabbit hole a little bit. But you know, my understanding is like, did you hear about like the, the Switch two, the, the rumors that have dropped around the Switch, the Nintendo Switch 2? So basically what they're saying about the Nintendo Switch 2 is that they're expecting it to be announced in 2025 and they're expecting it to be able to play games in 4K. But you're not going to be actually creating games in 4K. You're going to be like the developers are going to be basically creating games in 720p or 1080p or whatever to keep the file sizes small enough to fit on a cartridge. And then the Switch itself is going to upscale it to 4K and sort of like essentially guess the pixels in between to scale it up to 4k. So my understanding of like what Nvidia is doing is kind of that same kind of concept is that it can take, you know, less data and then imply the rest of the information using AI. Right. So this is a really oversimplification and I don't totally understand it, but that's sort of, my understanding is that it can actually work with less information and then imply and use AI to figure out the gaps and, and that's. That have AI. We've got. I was looking, I was talking to like a synology who makes like network attached storage solutions. Right. They're putting AI in those now. Right. So it's like existing companies adding AI in Internet of Things blended with AI and a lot of self driving tech which relies on AI. So I mean CES is really, really AI focused again. But still it feels like a whole year has gone by since the last ces. But it doesn't feel like the advancements were as big as I thought they would be in that time frame.

Yeah, a lot of it sounds Gimmicky how?

I would summarize CES this year, a.

Lot of it sounds gimmicky. It's like, you know, in Japan you have a lot of that right now too. Because in Japan there's a huge AI fever, you know, and, and you see that they'll like, like when I bought my washer and dryer, it had a big sign. AI.

Yeah.

I talked to my wife and it's like, wait, so just the fact that they're like, you know, determining that it's still wet, that's they're calling that the AI that is, you know. And I was like, did the models do that a few years ago in Japan? Yeah, they already did that. It's like, so what, they've just kind of attached AI onto it to say, like, yeah, this is the new AI feature.

Yeah, yeah.

But the Nvidia stuff sounds amazing though, like, especially if they are doing the thing I said, the hardware of predicting pixels and things like that.

I'll know more tomorrow. So tomorrow I'm spending all day with Nvidia. I'm actually meeting up with the Nvidia crew at 8:30am tomorrow.

And of course Jensen's coming on.

Oh yeah, we'll get Jensen on eventually. I actually don't think Jensen is going to be there tomorrow, unfortunately.

Okay.

I will know more about what Nvidia is doing tomorrow because I'm going to be like, I'm getting hands on demos with a lot of their new tech tomorrow. So maybe there's a follow up episode to this one where we go deeper into what Nvidia is up to. And if you want to stay looped in, you want to learn more about what I find out from Nvidia and more about what I come across at CES and learn about some of these other tools that Nathan's been sort of teasing us about, but not going into very much detail yet. Make sure that you subscribe to this show. Wherever you subscribe to podcasts, subscribe, YouTube is the visual platform. We're sharing a lot of stuff on our screens, but we're also available wherever you listen to your podcast. So give us a subscribe. And thank you so much for tuning in. Hopefully we'll see you in the next one.

Thank you.