Episode Transcript
[00:00:00] Sam.
[00:00:31] Welcome to AI Today. I'm your host, Dr. Alan Badot. And this week we're going to have a little bit more fun. We're going to build on last week's show where we did a review of the top 15 technologies that are going to impact AI in 2026. Well, this week I've decided that we're going to do a review of the top 10 products of 2026. And also we're going to do a review because Santa came a little bit early to Dr. Badeau's house and he decided he was going to purchase a new toy for him. And we're going to do a review of, of that. I'm going to, I'm not going to tell you what it is yet, but I'm going to, I'm going to surprise you. So you know, this is not going to be your normal review from 2023 or 2024, right? I mean, this is, these are new game changing software applications that are really going to take the market by storm. You know, there's, there's price points, there's capabilities and technologies. They're putting a whole bunch of different things together and they're starting to actually solve some very difficult problems and they're doing it in some very unique ways. Now of course we are going to talk about some of the, the big guys. Of course we cannot leave those out. There's just no way possible because they are innovating and they're generating new large language models or large vision models or whatever, large reasoning models, whatever those are.
[00:02:06] And they're starting to, you know, they're refine things and get much better at certain parts of using AI, but in other parts it's not working out so well. And we'll talk about some of those as we, as we review those specific products. But we're going to bring in some newer names, names that you're not going to be quite as familiar with. Now some of you may be, but others it's going to be very brand new for, for you. And what my goal is is to just give you a little bit of exposure to different, you know, applications, let you understand a little bit different how things are working, what drives some of those applications and how you may be able to use those in, in your business as you, as you are moving forward. Because you know, 2026 is going to be very different, right? Because we already know that there are data centers popping up everywhere and those data centers are being driven by the amount of AI that we are consuming. And it's only going to continue to increase as we are, you know, computing more as we're, we're doing, you know, a lot more from a business perspective as well as bringing some of that stuff home and using it from a personal perspective, whether it's financial analysis, whether it's, you know, just scheduling, you know, it's, it's, it's, it's a huge impact on how we are living, how we are changing our lives and, you know, how we're using these tools to finally take advantage of, you know, what AI should be doing as well as what it shouldn't be doing. Right? And I'm going to show you how you are going to be able to have an experience with AI that, that does not have to feel, you know, uncomfortable. It doesn't have to feel as though it's you and the computer. It's really about, you know, your ability to use AI as a partner, as a concierge, as some might say. But it's that ability to, to take advantage of those things and, you know, and really accelerate everything that you're trying to do. Now, I know some of you have heard me say this before, but, you know, I use it so much that sometimes, even when I'm giving presentations, I feel as though I have to introduce it and, you know, because if I don't, it's, it's like I'm being rude. And so, you know, hopefully with these products that are coming out in 2026, you're going to be able to see that, you're going to be able to feel that you're going to be able to experience that so that, you know, if you need something, you're going to ask a tool if you want something or need something to send an email, but attach a whole bunch of things to it and do a lot of other stuff along with that.
[00:04:51] It's going to be a lot easier for you if you're trying to solve complex problems where AI just can't do it by itself. Hopefully it's going to be easier for you if you need cyber security solutions with AI in it. Hopefully it's going to be easier for you. Right? You notice a, notice a theme.
[00:05:09] That is what is going to separate the AI going into the future versus just the plain large language models that you just chat with all the time and treat like Google and not The Gemini, not Gemini 3, Google, but okay, you know, I don't want to, I don't want to give too much away as I'm going through these. So this is an exciting show. You can tell I'm really pumped for this. And, you know, when we come back, we're going to jump right in and I'm still not going to tell you what we're going to talk about in segment three on my little, my new toy hardware that I got. But stay with us. We'll be back after a few messages from our sponsors.
[00:06:06] Foreign.
[00:06:26] Welcome back to AI Today, this week's show, we're going to talk about some fun stuff. We're, we're going to, we're going to do things a little bit different. As I said, we're going to talk about some AI products in very specific ones that are changing how we work, how we create and how we think. And it's not going to be hype, right? We're not going to talk about vaporware. We're going to talk about things and tools that real people are using right now and, you know, things that you thought were impossible a few years ago, they're doing today. But, you know, maybe they didn't get quite as much, you know, publicity going into, you know, the, the second half of the year, but, man, in 2026, I think they're going to take a lot of folks by storm. And so I want you to pay attention because, you know, it's, it's, it's going to be a topic that I, I really hope that you embrace and I hope that you use and I hope you try all these tools because I think, you know, from my perspective, it's really going to help you either in your business or even in your personal life. All right, so let's, let's get it out of the way. We'll get, you know, the first, the top three, you know, easy, right? And you can put them in any order that you choose to put them in. I'm going to go, I'm going to start with, you know, the number one. It's going to be, of course it's going to be anthropics. Claude, right? You know, we have seen Claude change and morph for, for the last couple of years into something that is really a behemoth. There's so much that you can do with the, with Claude and you know, especially 4.5 opus, right? Because you can go from programming to, you know, charting to graphics to creating different things, to interacting with it. It is really, you know, really grown and it's got so impressive with, with stuff now. I, I, I have showed you before, though, there are some, some, still some challenges with it, right? And so from nuances you know, it can get a little bit wordy when it's doing some stuff. It can get a little bit, you know, verbose when it's trying to program or it can sometimes not tell you quite as much of the truth as, as you might expect as it's doing some coding type things. But you know, at the, at the end of the day, Claude has, has come a long way. I don't see that stopping in 2026. It is only going to get better. Right. And so, you know, right behind Claude though, I'm gonna say it's, it's got to be Gemini 3, right. It's got to be Google. We're going to get the obvious ones out of the way and then we can talk about some of the, the smaller ones. But you know, Google from where they started, it's really a comeback story. If we could, if we could give them either the, you know, the, the return of the year or something like that. They really put it into high gear in 2025 and that is not going to stop in 2026. Right. If they had.
[00:09:31] Remember Brad?
[00:09:32] Yeah.
[00:09:35] Their first attempt at releasing that didn't go so well.
[00:09:39] Gemini 3, excellent really is. It really has changed the narrative around that. And you know, they're, they have 1 million token windows. They are doing things from an image generation that are, you know, fantastic. Their coding has drastically improved and then when you integrate that in with your normal Google and search, you know, search engines and stuff like that, it has gotten so much better and it's really exciting too. And there's a lot of free tools that you can use, a lot of things that you can already just easily integrate into your tools that you're using all already that, that, you know, alone almost, almost put Gemini up at the top for me. And that was, that was a tough one. But you know, I think in early 2026, we're going to continue to see, as these big companies try to regain or try to outdo each other from a large language model perspective, we're going to see some start to struggle. And I think that's going to, that's going to feed, you know, the, the narrative as we continue through 2026 and how you're going to use it and why you're going to use it. So of course, if we've got the top two, and it's not chat GPT, the number three has got to be chatGPT. Right. And that's, that's, that's obvious, right? With, with OpenAI, you know, when you have anywhere between 800 and 900 million weekly active users.
[00:11:14] Then when you walk into the room, everybody notices. And you know, when GPT5 dropped earlier, it was, it was impressive, right? I mean, with the multimodal capabilities, it was faster, it was better, it had more complex reasoning. It would take significantly longer in some cases, but it told you it was going to take longer to respond to your prompts that you had, and they were, they were fantastic. And in some cases, though, it would take 20, 30, 45 minutes to do it, but it would tell you, I'll notify you when, when that's happening. Well, you know, there were some issues with that and I think folks that were used to getting instant responses had a hard time with that. And then they also had a hard time with the prompt because, you know, as you went from ChatGPT 4 to 5 and we'll pick a model, I don't, I don't care which model you're, you choose in GPT4. But as you went from four to five, there were, there were some complexities around the prompts that had to change. And if you didn't change, oftentimes your responses back were not going to be as good as you were expecting. And then there were, of course, were a lot of complaints, a lot of issues. There were some, some things with, oh, it's, it's, it's just completely wrong. And, and a lot of that, though, I think was overblown. However, some of it, some of it did, you know, you know, catch on and it, it started to really drag Chat GPT a little bit. And I think going into 2026, though, I think they're going to improve. We just saw the release of 5.2 much better. It's getting, it's getting easier for a lot of folks to, to use. And I think, you know, when, you know, the, the number of different tools that Chat GPT has and open AI that they have, they continue to try to innovate, they continue to try to push the boundaries. And so don't think that they're, that they're slipping and that they're going to go off the shelf. Right? I mean, you've got to, you've got to pay attention to these things. But these are the top three for our, our large language models and, and really just those, those types of tools, you know, in general. So now we've gotten past those. All right, I want to talk about some specialized AI tools that are revolutionizing the, the industry and how we are going to be able to do work so, you know, we know that there's, there's a lot of different voice capabilities out there. And you know, if you have not used 11 labs, then you are missing out.
[00:13:54] I love it. It's fantastic. You know, voice AI has, has really taken over and they are leading the charge because, you know, they just closed, I think it was a few months ago with $180 million in Series C funding. And that puts them at a valuation of a little over 3 billion. 3 billion? Yeah, I think about 3 billion.
[00:14:17] That's, that's pretty good. And it's because they've cracked a lot of things that are fundamental to being able to use a tool like that, and that's. That AI voices that actually sound human.
[00:14:32] Yeah, it's not robotic. It, it, it can pronounce AI Go to some of the older ones that it would, it would actually try to put them together. I. That is what it would sound like.
[00:14:43] Or you'd have to put a space in there so it would be A, and then spell out I, E, Y, E. So it would get it right. A, I.
[00:14:50] Not anymore.
[00:14:51] Their partnership too with Meta is, you know, for, for some of the Instagram reels and celebrity voices of. My favorite is Matthew McConaughey, of course, but they have over 70 languages and it talks natural. It's, it's phenomenal. And if you're using that for any sort of, you know, response, customer response, something like that, I want you to think about that. If you are a creator, then, you know, now you can create anywhere you go and you know, mimic yourself. You can produce professional quality voiceovers, for example. And it doesn't matter if it's audiobooks, podcasts, videos, whatever these folks are, are really democratizing voicing. And it's, it's going on now and don't miss it because I think it's a fantastic product that, that you're going to want to, that you're going to want to use. Now, number five, if, if we think about number four, with 11 labs being the voice, the voice champions, then really AI Studios has got to be the face because, you know, it's by Deep Brain and this platform is letting you create studio quality videos with, with AI avatars and no cameras, no actors, no production crew.
[00:16:15] You know, it's, it's, it's unbelievable. And you can type in the script and pick an avatar and out comes a polished video and it can be in 150 languages.
[00:16:29] That's, that is insane. You know, I remember just, you know, almost a year and a half ago, two years ago when they started just releasing some of these things. And I was so excited that I could, I could produce a, you know, five second video in 20 minutes and I'd have to upload a couple of videos, but it would do a whole lot for it. And now, oh my goodness.
[00:16:55] It's so crazy that with the different capabilities and flexibilities and how realistic these things look, there's no real wonder why G2, you know, said they were the, the best product of 2025. And I don't see that stopping at all for 2026. And as you become more used to it, especially if you are a creator, there's so much that you can do with it. It's so easy to, to create a digital twin of yourself and do it in a short video clip. It's not science fiction anymore. Now again with it being a Tuesday.
[00:17:43] Just remember cybersecurity, okay? Just remember fraud. Just remember those things. I'm just going to, I'm just going to put that out there because you've got to pay attention to these kind of things more because it's real and it's happening right now.
[00:17:55] So with number, number, number six, I, I struggled a little bit with this. I didn't know if I wanted to move it up, move it back down. You know, if you would have asked me a few months ago, I probably would have grouped it up with the other, you know, the top three. But now I'm, because they're starting to specialize and I'm really, really happy with what they're doing. And that's really around Perplexity. If you have not used Perplexity AI, it's, it's, it's really evolved since where it started to where it is, you know, right now. And it's really fascinating too because it is a potential contender against Google and that's really in the search engine, you know, space because, you know, if Perplexity, I think the stat, I saw it had processed a little over 790 million queries I think in May of 2025. And that was triple from the year before.
[00:18:55] That's, that's pretty impressive.
[00:18:58] And you know, it's, it's, it's not just an answer engine, it's not just a search engine. It is really all of those things combined into one and then it gives you all the information and how it got it. And so it's trying to be more, more trustworthy. It's trying to show you how it's coming up with its answers and that is that is amazing. And as you, as you work with clients, as you try to do more and different types of marketing, you're not having to click through 50 different links to try to find the right one. Their browser is really taken off.
[00:19:36] I like how it has evolved since it first started. And so I'm just telling you with that, it's going to be phenomenal. Now I have not had a chance to try out the Perplexity TV app, but it's, it's, it's. From what I've heard, some folks that have tried it are really impressed with it. And so I think, I think Perplexity is going to be a company to watch in 2026. And I think they're really going to, they're really going to take off now. We're going to, we're going to pivot just a little bit and we're going to really start talking about some of the, the big guys in the creative tools realm. Okay. And those we're, we're going to talk about, of course the first one is going to be, you know, number seven is Mid Journey. Now everybody said oh no, Mid Journey's been around and you know, they're the, the gold standard for AI image generation. They are and there's a reason that they are. You know, if you look at how artists are still flocking to Mid Journey, it's, it's amazing. And the reason is, is because the aesthetic quality is, is, is, is unmatched. There's, there's nobody that can come up with the things that they're doing and show and, and present it that way. You know, they're, they're, they're, they're painterly look that they have the attention to the composition, the, the way it handles lighting is, is just, it's scary.
[00:21:03] Now of course Chat GPT has Dolly and you know, that's got some built in things and Google Image generation is, is leaps and bounds over where it was before, but there is nothing like what, you know, Mid Journey is producing. And it is, it's, it's unbelievable. And they're not going to stop. It's only going to get better. It's only going to be, you know, accelerated in the things that they're trying to do. They are focused. They know what their mission is and they own it. And they're going to, they're going to keep riding off with it. And I think in 2026 they're going to continue to release some very exciting things.
[00:21:44] Now number eight is, you might say, okay, you know, it's, it's kind of, it's kind of a little bit of a combination of a lot of different things. Maybe you're using it in the cloud and it's a little bit of a difference. Maybe you're using it on your desktop, it's a little bit different. But that's, that's going to be Copilot. I cannot ignore GitHub Copilot. And, you know, the reason is, is because when you talk to developers, there are really four basic tools that they're using. It can be something from Jetbrains, it can be cursor, of course, it can be all the different plugins in Visual Studios, or it could be the use of GitHub Copilot in any one of those IDEs. But it really is becoming an indispensable tool for developers to leverage. It's one of the four that I leverage. I've always told you all that I use, you know, I, of course I use Claude in all my IDEs. I'll use GPT5 now in all my IDEs. Gemini. Gemini got a boost, got a significant boost after the 3.0 was released. It's significantly better. And number four is, is GitHub Copilot. And, you know, it has really started to make it easier to, for folks to really get this AI assistance. And it's not a novelty anymore. It really, it makes good suggestions for coding, it does very well in explaining the different functions, it helps debug things. It does a very good job around, around that and really the productivity gains that folks are seeing significant. So I think that's one to definitely pay attention to. Now, here's another one, though, that I do want to talk. It's a little bit different in what its capabilities are and it's one that you've heard about and you've seen some stuff out there, but it is starting to really quietly transform how businesses are operating at the enterprise level. And that is going to be Janus AI. And that's from Digital Net AI. And it is a cognitive computing platform. And what it's doing is it's integrating a whole bunch of different types of AI into one. It's not just large language models, it's your traditional NLP models. It's genetic algorithms, it's, you know, heuristics, it's a fuzzy algorithm. There's a whole whole list of things that it is doing, but it's also integrating with other technologies like neuromorphic computing, like quantum computing, and it's bringing those solutions together and when you do that, you have the ability to solve much harder problems. Whether they're engineering problems, whether they're something else. It's always, you know, it's ability to really look beyond just AI and look at it from a holistic perspective, break it down into solvable pieces that are great for each of those technologies and then put the answer back together. It's really going to be amazing. And they, you know, I know that ATLAS is out there from a cyber security perspective and it's, you know, Janice will be a digital workbench that anybody will be able to build their own things on. So I would say, you know, stay watch that one because in 2026 that relationship is going to only get stronger and you're going to see that it's not going to be a machine anymore. It is going to be a, an experience that folks are going to see now. Number 10 and I, I, I was very excited when I got to, to try this and it's another video platform, but it's a little bit different angle and that's sja.
[00:25:47] Enterprise communications at scale is, is always a challenge and synesthesia lets companies, you know, create training videos, internal communications, customer facing content with AI avatars and a whole bunch of different languages. You know we've, we've seen some of these before but they've always been, there's always been something that you would hit a roadblock on, something that would cause an issue. Well, they've, they have overcome a lot of those and they are focusing on, you know, the consistency of the product.
[00:26:24] Things that look professional.
[00:26:26] Regulated industries is something that they really pride themselves on. And so if you feel like you need to communicate the same message across thousands of employees or customers, then they are going to be the ones that you're going to want to look to in 2026 because that is, their stuff is really fantastic and it's game changing. So you know, I hope you under you saw some things that you're going to be interested in. It's going to occupy my time in 2026 going into that, that landscape of change from an AI perspective. It's going to be about either the specialization into different types of AI or it's going to be solving harder problems at an enterprise level with AI and different types of AI and it's always going to be from here on out it's going to be about the user experience and if people forget that, they're going to miss the boat. So, so I hope, I hope you try some of them. We'll be Back after a few messages from our sponsors. And I'm going to tell you the, the new toy that Santa dropped off. So stay with us. We'll be right back.
[00:28:06] Welcome back to AI Today. I'm your host, Dr. Alan Badot. And in the last segment, I gave you the top 10 list of AI products that are going to be impactful and really change the game in 2026.
[00:28:19] In this segment, though, I'm really excited because Santa came early and when Santa comes early, then I, that means I get to play.
[00:28:27] So we're going to talk about something that is going to change the game, I think for just AI developers as well as, you know, small businesses that are trying to use AI but they don't know how and they don't have the compute power to potentially do that.
[00:28:42] So in this segment, we're going to talk about Nvidia's DGX Spark.
[00:28:48] Now, I don't know if, if folks have seen it, but this, this capability is phenomenal. You probably saw last year the, you know, the, the, the, the, that version was around $125,000 and you're like, ah, holy cow. That's what I did. But because I wanted one, I was like, oh, I'm, I don't know if I want to do that. But this version here, this year, it's down to, to 4,000 and it's amazing what it can do.
[00:29:23] So you saw how big it is. It's about the size of a shoe box.
[00:29:29] Yes, about the size of a shoebox. And it's really a pedaflop on your desk and you think, oh, a pedaflop on your desk. That's the size of it.
[00:29:43] It's built around, of course, the GB10 Grace Blackwell super chip. And it is compact. When I took it out of the box and I was plugging it in, I expected it was going to sound like an engine.
[00:29:59] How you get excited the first time you plug it in and you hear the computer go and it's, it revs up and the more gpus you have, it sucks the, sucks the, the life out of the room because it's all going to those fans and trying to cool it and you're thinking, oh, yeah, here we go. Well, in this one, I didn't hear it, I didn't feel it. I thought I broke it.
[00:30:20] So I'm plugging into things and, and waiting for it to kick on.
[00:30:27] Nothing.
[00:30:28] And then just by chance, I put my hand in front of it and I feel a little bit of wind, a little bit of air going into, into the cooler. And I was like, oh, I got to plug, I got, I got to plug the monitor and forgot to plug the monitor in. And I plug it in and it pops up in the screens there and it's quiet. You hear nothing. It's running beside me and you hear nothing. If it wasn't, if, you know, if you didn't have it plugged into a monitor and every once in a while that you move the mouse a little bit, you wouldn't even know it's there.
[00:30:59] It's scary how amazing this thing is because if you're an AI developer, the biggest thing that you always need is GPUs.
[00:31:09] If you want to run bigger models, if you want to try to do fine tuning, if you want to do all those things. You need compute horsepower to be able to do this. This gives you 128 gigs of unified memory.
[00:31:25] And its ability to help developers, to help, you know, folks that are using it is really unprecedented. A petaflop. Just think about that. You have your own petaflop machine that's the size of a tiny shoebox because the machine is significantly smaller than the box. There's more Styrofoam stuffing in that thing than, you know, I've seen in a lot of other larger, larger fragile items. But it's, it's, it's amazing.
[00:31:56] You get a CPU, it's got 20 cores. It's an ARM configuration, of course. It's got the 10 Cortex X925s in it, amazing cores. And then you also have the 10 Cortex A725s. And that is really around, you know, helps you with the efficiency. And you know, that's where that 128 gigabytes of, you know, DDR x5. Well, technically it's LP DDR5x. Unified memory is, is amazing. And now I haven't, I haven't got to ramp this thing up yet. I've only gotten it to about halfway with the things that I'm developing and using, but the entire thing I could, it's plugged into the wall. I don't need a, you know, any sort of adapter or to re. Hard, you know, put in a new outlet or like that. It is really amazing in what, it's, what it can do. And from a, a practical perspective, you know, you're talking about being able to put something like this on your desk for the cost of a, a workhorse desktop, which, or a, a very good gaming laptop or, or gaming machine, whatever that is at, you know, the price point of that is just unbelievable. I mean think about a petaflop five years ago. You know, we're talking petaflops and you're talking systems that are, you know, the size of huge rooms again, right? And you know, it's really, it's really mind blowing in, in that capability because even, you know, from a, a plug in perspective, once you plug that thing in and it is running, it comes with, you know, preloaded with you know, certain toolkits that you'll want to use for Docker. Right. It comes with, you know, an easy configurable capability that allows you to, you know, you know, connect it to, to any machine that you have. I actually have it connected to my laptop using Nvidia Sync. And you know, the great thing about that is, is I can run everything from my laptop. I'm SSH into it and I'm running different sorts of, you know, simulations and AI models across the board. It is really phenomenal. And there's so many other tools that you can use with it, right though. And that's the great thing because it's Nvidia, they've got a lot of models, they've got a lot of tools, they've got a lot of workstation capabilities that they've included in that and it is unbelievable. And if you're going to do any kind of modeling, if you're going to do any kind of AI development, you know, invest in this.
[00:34:41] Now here are some, here are some, what I would say are a few little, little trade offs though, okay? I wanna, I wanna be honest, I wanna, I wanna give you as, as much info as I can, you know, with this. And so there are some things though that it does fall a little bit short on, right? I mean some of the memory, while it is great in capacity, the bandwidth not quite as good as you would, you would hope, you know, you kind of were, you know, I was hoping for something that was a little bit closer to an H100, something like that. But you know, for large, you know, context inference or extremely large models, you're going to see a little bit of a difference. Now if you're, if you're trying to run a 400 billion parameter model on this machine, you're going to struggle.
[00:35:40] However, if you put two of them together, then you'll be all right. You know, I've done some of the mid ones, I've, I've gotten up to 100 billion parameter model that I've been working with and it does A it does a really good job with that and like I said, it only got to about half of that. So I've got more that I can, that I can push now.
[00:36:01] You know, if you are thinking about getting one of these, I want you to, you know, if you're working, you know, 7 billion to 70 billion parameter model, that's ideal. If you're doing, looking to do more velocity in your development as opposed to absolute throughput, that's a good the sparks a great one for you. It, you know, I haven't got to cluster them together. I will because I'm going to get another one but I'm hoping that I'm going to see the same sort of increase in capability with that. And so if you're really prioritizing your support and integrated platform, if you want more developers to have access to something like this so that your entire team can do more, it's something that you really should consider. And so from my perspective, my verdict is pretty clear. Okay, it's not going to replace the cloud, it's not necessarily going to replace an entire data center. However, if you are a developer it is going to give you consistency that you haven't seen ever. Quite honestly, even from a cloud perspective, it's going to reduce your dependency on that significantly. And granted there's some small drawbacks and you've heard probably some of the stories around, oh, it didn't work but Nvidia is sticking by it and they're doing a lot of great things with that. So what I would say is don't be afraid to do it and you know, jump in and take advantage of it.
[00:37:42] So use it in 2026 and hopefully you'll get to try it. And I, you know, I would say I'm going to get another one and so I look forward to hearing from you. I want your emails, if you have questions, I'll even help you get things started so you can get going. So stay with us. We will be right back after a few mentions from our sponsors.
[00:38:30] Foreign.
[00:38:40] Welcome back to AI today.
[00:38:42] We spent the last three segments talking about products for 2026.
[00:38:49] You know, we talked about the AI products that are really going to be game changing from, you know, your basic big guys with the, you know, the large language models and those sort of things all the way to newer products. We are looking at improving that experience between a human user and the AI itself. Right. It's all about the user experience going into 2026. If, if, if companies are not paying attention to that, they are not going to be successful. And you know, we, we, we saw how the landscape from, you know, really focused AI companies that are looking at content creation and specifics around in AI, whether it's voice or whether it's more of the video generation all the way to now the enterprise and trying to use different types of AI and even incorporating other solution methodologies into that to solve harder problems. Those are the directions that we're going. And that top, top 10 list, you know, I could put some others on there, of course. Right. But I, you know, I, that's why I didn't call it a top 15 list. But as you're looking at those and as you're trying them, just keep an open mind, think about the problem that you're trying to solve. And every time that you're using them, think, is this something that I can use in my business? And if you come back and your answer is no, then you better go somewhere else. Right? Because remember on this show, I'm not, I'm not trying to get you to, to just go out and grab AI for the sake of AI. It's about improving your quality of life. It's about trying to get time back because that's something that nobody can give to you.
[00:40:36] As you're, as you're working through your problems, as you're using things, take a mental note. Oh, geez, I wish I could do this faster.
[00:40:44] I wish I could do something else faster.
[00:40:47] I wish I could, you know, plan be more efficient.
[00:40:51] Those sort of things are going to be the focus of all those products in 2025 or 2026. Now I did show you my new toy that of course Santa dropped off.
[00:41:03] That is all about trying to be more efficient. You all know I, I do a lot of programming, we're doing a lot of development, we're doing a lot of tools and we're trying to improve that relationship between, you know, the human and, you know, these, these digital twins that, that you know, folks are building and that we're building now, that is a, that is a powerful capability that allows my models to run significantly faster. It allows me to build things faster, it allows me to put all that stuff together that we're doing and, and really again, merge those capabilities.
[00:41:41] You cannot do AI without having large, you know, compute horsepower behind you. It just isn't going to work. And you can go to, you can go to the clouds or you can go to, you know, some bigger high end, you know, desktops or you know, gaming machines that you put together, or GPU cards that you, you know, you, you grab up and try to do some of that on your own, but I'm telling you, the Spark is, is compact and it doesn't heat up a room. You barely know that. The darn thing is, is running. It's, it's, it's still, it's still going. And it's, it's an accelerator though. You've got hardware, you've got your software and you've got your data and we'll put a lot of things in those, those three buckets. But you know, if one of those are off or if one of those are your weakest link, that slows everything else down in the process.
[00:42:39] And the power of being able to put a supercomputer on your desk is something that was unheard of five years ago. Unheard of.
[00:42:50] Now the power to solve harder problems with different types of computing, that was unheard of.
[00:42:58] Well, a couple of weeks ago even.
[00:43:01] That's how rapidly technology is changing. So as we go from 2025 and we are transitioning into 2026, if I did that list of the top, you know, top 10 of 2026 in, we'll say, you know, second quarter, that list is going to change.
[00:43:22] Some are going to move up, some of them are going to move down potentially, but it's changing that fast.
[00:43:28] And that really is what I'm trying to, to get across to folks.
[00:43:32] You know, you've got to be agile, you've got to be willing to change, but you always have to stay true to what your core business is trying to do, what those functions are. And you know, quite honestly, you know what you are trying to, to use the AI for, because there's no reason to invest in any of those. If you don't have AI in your business plan, then you're just going out and you're buying toys.
[00:43:56] There's nothing wrong with that though, entirely if you can, if you can do that. However, from a business perspective, we want to, we want to, we want to stay on the straight and narrow.
[00:44:05] So I hope you enjoyed the, this, the segments today. I had a lot of fun playing with them, trying out new things, testing these, these tools, testing my new toy. And we will see you in 2026 where we are going to have more great shows, more quantum computing discussions, more security discussions. And so remember, you know, your digital identity is, is, is, is really your protection, especially in a world that is becoming more digital. So focus on that. Don't put everything out on the Internet and hopefully I'll see you in 2026. And if everybody has a a great new year, so we.
[00:44:53] It.
