1 00:00:00,080 --> 00:00:02,920 Speaker 1: It is time for Rich tomorrow, which we do every Tuesday. 2 00:00:03,520 --> 00:00:07,320 Speaker 1: And Rich, you are at CEES, which you do every year. 3 00:00:08,200 --> 00:00:10,200 Speaker 1: You and one hundred and thirty thousand of your best 4 00:00:10,200 --> 00:00:18,160 Speaker 1: friends are there, Rich heard every Saturday right here on KFI. 5 00:00:18,480 --> 00:00:22,439 Speaker 1: All right, Rich, let's do it. You're at CS one 6 00:00:22,520 --> 00:00:24,319 Speaker 1: hundred and thirty thousand people there. I don't know how 7 00:00:24,360 --> 00:00:27,880 Speaker 1: many thousands of exhibits. What have you seen that has 8 00:00:28,160 --> 00:00:29,640 Speaker 1: knocked you on your butt? 9 00:00:31,120 --> 00:00:32,440 Speaker 2: Well, here's the thing about CES. 10 00:00:32,680 --> 00:00:33,040 Speaker 1: It is. 11 00:00:33,320 --> 00:00:35,839 Speaker 3: Yes, like you said, it's a big show. There's a 12 00:00:35,880 --> 00:00:36,760 Speaker 3: ton to see. 13 00:00:37,520 --> 00:00:40,000 Speaker 2: You can't see it all, that's number one. But you 14 00:00:40,080 --> 00:00:40,640 Speaker 2: do your best. 15 00:00:40,720 --> 00:00:43,560 Speaker 3: So I've been walking an average of about twenty two 16 00:00:43,560 --> 00:00:46,400 Speaker 3: thousand steps the first two days. And by the way, 17 00:00:46,920 --> 00:00:50,000 Speaker 3: the show floor hasn't even opened. It actually opens this morning, 18 00:00:50,440 --> 00:00:53,159 Speaker 3: so they do you know, not only does the convention 19 00:00:53,280 --> 00:00:55,680 Speaker 3: center get filled up, but then all these companies rent 20 00:00:55,680 --> 00:00:59,240 Speaker 3: out rooms in pretty much every hotel surrounding the strip, 21 00:00:59,640 --> 00:01:01,560 Speaker 3: and you know, they all want to get you there. 22 00:01:01,800 --> 00:01:03,840 Speaker 2: So that's really what I did for the past two days. 23 00:01:03,840 --> 00:01:05,720 Speaker 3: You just go to all these different meetings and they 24 00:01:05,720 --> 00:01:06,960 Speaker 3: have these smaller shows. 25 00:01:07,440 --> 00:01:09,839 Speaker 2: It's a whole wild thing. A couple of things. 26 00:01:09,840 --> 00:01:12,920 Speaker 3: So number one, AI is making its way into everything. 27 00:01:12,959 --> 00:01:14,959 Speaker 3: We know that Bill, I don't know if you remember 28 00:01:15,000 --> 00:01:16,560 Speaker 3: this thing. Do you remember a thing called the flowbe 29 00:01:16,720 --> 00:01:18,200 Speaker 3: back in the day it would give you a haircut? 30 00:01:18,680 --> 00:01:18,960 Speaker 1: Yeah? 31 00:01:19,040 --> 00:01:24,040 Speaker 3: I do, actually, Okay, So they've got this new device 32 00:01:24,120 --> 00:01:27,120 Speaker 3: called the Glide, which I call the high tech AI 33 00:01:27,240 --> 00:01:31,440 Speaker 3: version of the flowbe. So you take this barbershop clipper 34 00:01:31,920 --> 00:01:33,720 Speaker 3: and you use the app to say what kind of 35 00:01:33,720 --> 00:01:36,200 Speaker 3: haircut you want, and you just roll it on your 36 00:01:36,240 --> 00:01:40,319 Speaker 3: head and it automatically adjusts the length of the clipper 37 00:01:40,800 --> 00:01:43,640 Speaker 3: based on your head and the AI, so you can 38 00:01:43,680 --> 00:01:47,920 Speaker 3: give yourself your own haircut with this Glide device. I 39 00:01:47,960 --> 00:01:50,080 Speaker 3: did press the company a little bit. I said, come on, 40 00:01:50,120 --> 00:01:52,600 Speaker 3: this is not something everyone could do, and they said, well, 41 00:01:52,640 --> 00:01:55,400 Speaker 3: we admit that the sides are definitely easier than the back. 42 00:01:55,680 --> 00:01:57,440 Speaker 2: So I think we're going to see the mullet come back. 43 00:01:58,080 --> 00:01:59,360 Speaker 4: Oh that would be fantastic. 44 00:01:59,400 --> 00:02:02,160 Speaker 1: And by the way, slices and dices, isn't it In 45 00:02:02,160 --> 00:02:03,720 Speaker 1: addition to okay, you're. 46 00:02:03,600 --> 00:02:08,440 Speaker 3: Here speaking of that slicing and dicing, perfect segue to 47 00:02:08,520 --> 00:02:12,560 Speaker 3: my next gadget. Have you ever heard of an ultrasonic knife? 48 00:02:15,040 --> 00:02:18,359 Speaker 1: Not an ultrasonic knife. I know that there are knives 49 00:02:18,400 --> 00:02:21,080 Speaker 1: that move. I have a razor that I use a 50 00:02:21,120 --> 00:02:25,160 Speaker 1: Gillette to shave and it has and it buzzes in 51 00:02:25,400 --> 00:02:29,120 Speaker 1: you know, zillion times a second and it just works better. 52 00:02:29,200 --> 00:02:32,040 Speaker 4: But not ultrasonic guys, So explain that one. 53 00:02:32,240 --> 00:02:36,200 Speaker 3: Yeah, So this one, this is from Seattle Ultrasonics. That's 54 00:02:36,240 --> 00:02:39,000 Speaker 3: a chef knife for your house. It's the first of 55 00:02:39,040 --> 00:02:41,760 Speaker 3: its kind. And the guy spent six years. He's aught 56 00:02:41,760 --> 00:02:43,560 Speaker 3: it was gonna take him six months to figure this out. 57 00:02:43,600 --> 00:02:45,799 Speaker 3: Took them six years to figure it out. The knife 58 00:02:45,880 --> 00:02:49,840 Speaker 3: vibrates about forty thousand times per second, so the blade. 59 00:02:49,880 --> 00:02:52,480 Speaker 3: I tried it cutting through a tomato and it can 60 00:02:52,480 --> 00:02:54,919 Speaker 3: help people, you know, cut with less force, so fifty 61 00:02:54,960 --> 00:02:57,880 Speaker 3: percent less force and everything glides off. So if you're 62 00:02:57,919 --> 00:02:59,800 Speaker 3: cutting through cheese or something like that, you know, if 63 00:02:59,800 --> 00:03:01,600 Speaker 3: you're cutting the cheese. 64 00:03:02,160 --> 00:03:03,200 Speaker 2: I didn't realize that. 65 00:03:03,320 --> 00:03:06,280 Speaker 4: Thank goodness, this is radio So that works, doesn't it. 66 00:03:08,120 --> 00:03:10,359 Speaker 1: I'm just curious because, yeah, because I do a lot 67 00:03:10,400 --> 00:03:11,480 Speaker 1: of slicing and dicing. 68 00:03:11,680 --> 00:03:14,760 Speaker 4: How much is this puppy? Is it for sale yet? Oh? 69 00:03:14,840 --> 00:03:15,080 Speaker 1: Yeah? 70 00:03:15,240 --> 00:03:17,799 Speaker 3: Three hundred and fifty for the knife, one hundred and 71 00:03:17,840 --> 00:03:20,799 Speaker 3: fifty for the charging station. You know, it's one of 72 00:03:20,840 --> 00:03:22,840 Speaker 3: those things where I put it in that category of 73 00:03:23,160 --> 00:03:25,440 Speaker 3: it's brand new right now. Like do you remember when 74 00:03:25,480 --> 00:03:27,400 Speaker 3: the Sonic Care toothbrush came out, you. 75 00:03:27,360 --> 00:03:28,359 Speaker 4: Know, thirty years ago. 76 00:03:28,440 --> 00:03:31,160 Speaker 3: It was super expensive, it was high tech. Now every 77 00:03:31,200 --> 00:03:33,760 Speaker 3: toothbrush and like you said, your razor vibrates, you know, 78 00:03:33,919 --> 00:03:35,840 Speaker 3: but this is ultra Sonic, So it's gonna you know, 79 00:03:35,880 --> 00:03:37,800 Speaker 3: it's gonna be a little bit higher end than anything 80 00:03:37,800 --> 00:03:38,440 Speaker 3: else out there. 81 00:03:38,600 --> 00:03:41,400 Speaker 1: Yeah, I certainly want to spend five hundred dollars to 82 00:03:41,400 --> 00:03:42,080 Speaker 1: cut a tomato. 83 00:03:42,280 --> 00:03:47,600 Speaker 4: Yeah, that makes sense at you h Yeah, no kidding. 84 00:03:48,040 --> 00:03:51,680 Speaker 1: We always talk about this and I always ask you this, 85 00:03:52,680 --> 00:03:56,680 Speaker 1: What products have that just floored you and you went, wow, 86 00:03:56,800 --> 00:04:00,160 Speaker 1: that's terrific. That's one question. I know we get some 87 00:04:00,280 --> 00:04:04,480 Speaker 1: years and some years pretty good. And are there any 88 00:04:05,040 --> 00:04:09,480 Speaker 1: blow you away new technology? For example, when the iPhone 89 00:04:09,520 --> 00:04:12,720 Speaker 1: came out, I mean that was massive, beyond massive, anything 90 00:04:12,760 --> 00:04:14,000 Speaker 1: close to that happening. 91 00:04:15,240 --> 00:04:19,159 Speaker 3: I haven't seen anything close to that just yet. I mean, really, 92 00:04:19,200 --> 00:04:19,920 Speaker 3: this year it's. 93 00:04:19,839 --> 00:04:20,679 Speaker 2: All about the AI. 94 00:04:20,880 --> 00:04:23,920 Speaker 3: And the thing about AI is that it's not necessarily 95 00:04:23,960 --> 00:04:26,599 Speaker 3: a new product. It's really just a new way of 96 00:04:26,760 --> 00:04:28,720 Speaker 3: using the product. So I'll give you one example that 97 00:04:28,760 --> 00:04:29,599 Speaker 3: I'm seeing. 98 00:04:29,360 --> 00:04:30,840 Speaker 2: Over and over now with. 99 00:04:30,800 --> 00:04:34,520 Speaker 3: These TVs, almost all the major manufacturers are now using 100 00:04:34,560 --> 00:04:38,200 Speaker 3: AI to let you enhance the dialogue. So one of 101 00:04:38,200 --> 00:04:40,440 Speaker 3: the biggest problems with TV. You're watching a movie or 102 00:04:40,440 --> 00:04:43,040 Speaker 3: a TV show, you can barely hear what the people are. 103 00:04:42,880 --> 00:04:43,760 Speaker 2: Saying for some reason. 104 00:04:43,960 --> 00:04:47,279 Speaker 3: And so now I saw a both at Samsung and Google. 105 00:04:47,640 --> 00:04:51,440 Speaker 3: They're both using technology that lets you separate that speech 106 00:04:51,560 --> 00:04:55,360 Speaker 3: track and just hear that. And so that's one example 107 00:04:55,400 --> 00:04:57,880 Speaker 3: of something that's kind of cool. It's not like mind boggling, 108 00:04:58,120 --> 00:05:00,120 Speaker 3: but it's like, Okay, that could be very helpful for 109 00:05:00,200 --> 00:05:02,839 Speaker 3: a lot of people that can't necessarily hear what's being 110 00:05:02,880 --> 00:05:05,599 Speaker 3: said on the screen, and it just separates that dialogue. 111 00:05:05,760 --> 00:05:08,080 Speaker 2: And it's just one more use of AI out there. 112 00:05:08,360 --> 00:05:13,000 Speaker 1: Yeah, but this is why God invented subtitles, because yeah, 113 00:05:13,040 --> 00:05:15,520 Speaker 1: over fifty percent of us, and I didn't know this 114 00:05:15,600 --> 00:05:18,640 Speaker 1: in the United States, actually watched TV with subtitles. 115 00:05:18,680 --> 00:05:18,960 Speaker 2: I do. 116 00:05:19,960 --> 00:05:23,120 Speaker 1: I watch every show, and now there are certain shows 117 00:05:23,120 --> 00:05:26,040 Speaker 1: that you have to have subtitles to watch, Peaky Blinders 118 00:05:26,080 --> 00:05:30,520 Speaker 1: being one of them. Phenomenal show. It's I think I 119 00:05:30,600 --> 00:05:35,239 Speaker 1: out of Ireland. You cannot understand one word they say, 120 00:05:35,320 --> 00:05:38,360 Speaker 1: and it's supposed to be English. 121 00:05:37,320 --> 00:05:40,360 Speaker 4: But in general, and you know, and here is. 122 00:05:40,320 --> 00:05:43,919 Speaker 1: With the the I'm moving into this because I'm just 123 00:05:43,960 --> 00:05:47,479 Speaker 1: fascinated by this, and that is a subtitles it's real 124 00:05:47,640 --> 00:05:51,280 Speaker 1: time subtitling, and it's an algorithm that does this correct. 125 00:05:52,800 --> 00:05:54,000 Speaker 2: Depends on what you're watching. 126 00:05:54,040 --> 00:05:56,799 Speaker 3: But yes, AI has definitely done a lot for news 127 00:05:56,839 --> 00:06:00,240 Speaker 3: and live programming with AI or with subtitles for shore. 128 00:06:01,000 --> 00:06:04,200 Speaker 1: There you are at CES and you've been able to 129 00:06:04,240 --> 00:06:07,919 Speaker 1: cover a whole lot of it. When one of the 130 00:06:08,000 --> 00:06:11,960 Speaker 1: questions I always ask you is what were the most 131 00:06:12,000 --> 00:06:16,279 Speaker 1: impressive products that you saw? And the other side of it, 132 00:06:16,360 --> 00:06:18,760 Speaker 1: what were the ones that were so stupid you couldn't 133 00:06:18,760 --> 00:06:19,240 Speaker 1: believe it? 134 00:06:20,480 --> 00:06:24,520 Speaker 3: Oh gosh, oh my okay. So last night we saw 135 00:06:24,560 --> 00:06:27,600 Speaker 3: a product and this is not stupid. This is I mean, 136 00:06:27,640 --> 00:06:30,719 Speaker 3: this is silly, but it's interesting. We saw a product 137 00:06:30,839 --> 00:06:35,920 Speaker 3: that you put in your toilet and it tests your 138 00:06:36,480 --> 00:06:38,159 Speaker 3: urination for hydration. 139 00:06:40,560 --> 00:06:42,920 Speaker 1: Well, I think absolutely, that's not silly when you think 140 00:06:42,960 --> 00:06:48,080 Speaker 1: about it, that's not you know, Yeah, I'm sorry, go ahead. 141 00:06:48,160 --> 00:06:51,640 Speaker 2: The idea, Yeah, I just I've just seen the idea. 142 00:06:51,400 --> 00:06:55,360 Speaker 3: Of the smart toilet is really taking off because I mean, 143 00:06:56,120 --> 00:06:58,200 Speaker 3: it's just it's silly to talk about, but you know, 144 00:06:58,240 --> 00:07:00,880 Speaker 3: you're flushing down all of this vital information. 145 00:07:01,279 --> 00:07:03,600 Speaker 2: And we've gotten so obsessed with. 146 00:07:03,600 --> 00:07:07,840 Speaker 3: Tracking metrics and health stats, you know, with these rings 147 00:07:07,880 --> 00:07:10,840 Speaker 3: and these watches and people. You know, I saw two 148 00:07:10,880 --> 00:07:14,560 Speaker 3: different versions of glucose monitoring for the everyday person, not 149 00:07:14,680 --> 00:07:17,760 Speaker 3: for someone with diabetes. So there's now these arm patches 150 00:07:17,800 --> 00:07:19,640 Speaker 3: you can put on and they talk to your phone 151 00:07:19,760 --> 00:07:21,920 Speaker 3: and they show you, you know, your blood sugar levels 152 00:07:21,920 --> 00:07:24,560 Speaker 3: throughout the day. So we're really seeing a trend of 153 00:07:24,600 --> 00:07:28,480 Speaker 3: basically everyone wants to have every health stat they can. 154 00:07:28,920 --> 00:07:31,520 Speaker 3: And yeah, so we saw we're seeing smart toilets that 155 00:07:31,560 --> 00:07:37,320 Speaker 3: measure all kinds of things like urination for hydration, which 156 00:07:37,320 --> 00:07:39,520 Speaker 3: they said is very important. It's a very important marker 157 00:07:39,600 --> 00:07:40,239 Speaker 3: of your health. 158 00:07:40,680 --> 00:07:42,640 Speaker 1: Yeah, and I think it is, or at least i'm 159 00:07:42,640 --> 00:07:46,760 Speaker 1: told it is by doctor Jim who's with us every week. 160 00:07:47,320 --> 00:07:50,120 Speaker 4: Here's a fun one that I want you to talk about. Now. 161 00:07:50,120 --> 00:07:56,760 Speaker 1: You saw this, right, Jenny, the therapeutic robotic dog that's 162 00:07:56,800 --> 00:07:59,520 Speaker 1: supposed to be a what a lap dog? 163 00:08:01,160 --> 00:08:02,960 Speaker 3: Yeah, Now this is an example of one of those 164 00:08:02,960 --> 00:08:05,480 Speaker 3: things that you see and you're like, Okay, give me 165 00:08:05,520 --> 00:08:07,760 Speaker 3: a break. Who needs a fake dog? Right, like we've 166 00:08:07,760 --> 00:08:11,040 Speaker 3: seen so many. Then when you hear the story behind it, 167 00:08:11,040 --> 00:08:13,720 Speaker 3: it's a company called Tombot. They're actually out of the 168 00:08:13,880 --> 00:08:17,640 Speaker 3: LA area. They are making this thing called Jenny, and 169 00:08:17,680 --> 00:08:18,840 Speaker 3: it's it's like. 170 00:08:18,760 --> 00:08:19,880 Speaker 2: You said, it's a lap dog. 171 00:08:19,960 --> 00:08:21,880 Speaker 3: It doesn't walk, it doesn't you know, it. 172 00:08:21,840 --> 00:08:26,360 Speaker 2: Doesn't really talk. But it's for people with dementia or Alzheimer's. 173 00:08:26,400 --> 00:08:27,360 Speaker 2: So it's for people that. 174 00:08:27,680 --> 00:08:30,640 Speaker 3: You know, want a dog or want a companion, but 175 00:08:30,680 --> 00:08:33,520 Speaker 3: they can't have a companion, no for safety reasons or 176 00:08:33,840 --> 00:08:35,960 Speaker 3: for you know, they just simply can't care for it. 177 00:08:36,240 --> 00:08:39,520 Speaker 3: And this company went to great lengths to develop this thing. 178 00:08:39,760 --> 00:08:42,599 Speaker 3: They worked with Jim Henson's creature shop. So I'm not 179 00:08:42,679 --> 00:08:44,880 Speaker 3: kidding Bill. When I saw this dog, you have an 180 00:08:44,920 --> 00:08:49,240 Speaker 3: emotional connection with it, unlike any robot I've ever seen before. 181 00:08:49,440 --> 00:08:51,880 Speaker 2: Just the way it moves, the eyes. 182 00:08:52,000 --> 00:08:55,880 Speaker 3: The tail, it's soft, it's cuddly, it responds to all 183 00:08:55,960 --> 00:08:59,679 Speaker 3: kinds of touch and commands. And the only thing I 184 00:08:59,679 --> 00:09:03,040 Speaker 3: will that I did hold it. And again it's not 185 00:09:03,120 --> 00:09:05,000 Speaker 3: for it's for your lap so you're supposed to sort 186 00:09:05,000 --> 00:09:07,880 Speaker 3: of pet it. But this thing shed all over me 187 00:09:08,120 --> 00:09:10,160 Speaker 3: just like a real dog, which I thought was kind 188 00:09:10,160 --> 00:09:10,560 Speaker 3: of funny. 189 00:09:11,679 --> 00:09:13,480 Speaker 4: And do we have prices on this stuff? 190 00:09:13,520 --> 00:09:16,360 Speaker 1: I know your tomato cutter came in at five hundred 191 00:09:16,400 --> 00:09:21,680 Speaker 1: dollars for the cutter itself, the knife, and the charging station, 192 00:09:21,960 --> 00:09:24,520 Speaker 1: which I thought was kind of neat any idea with 193 00:09:24,600 --> 00:09:28,280 Speaker 1: this stuff costs? And because the technology is well, let 194 00:09:28,280 --> 00:09:31,200 Speaker 1: me ask you exactly, is the technology really high end 195 00:09:31,320 --> 00:09:33,280 Speaker 1: or is it basically off the shelf stuff that you 196 00:09:33,280 --> 00:09:33,920 Speaker 1: can get now. 197 00:09:35,440 --> 00:09:38,360 Speaker 3: I think the Jenny technology, this robot dog is pretty 198 00:09:38,440 --> 00:09:41,360 Speaker 3: high end stuff. This is a you know, robotics company, 199 00:09:42,120 --> 00:09:44,160 Speaker 3: and I think that they did a pretty good job. 200 00:09:44,480 --> 00:09:47,000 Speaker 3: Now again, it's not moving, it's not it's not walking, 201 00:09:47,040 --> 00:09:49,160 Speaker 3: so it's not you know, we've seen a thousand robots. 202 00:09:49,200 --> 00:09:51,319 Speaker 3: You know, you've seen those Atlas robots that look like 203 00:09:51,360 --> 00:09:53,720 Speaker 3: a dog that kind of move around. They're very nimble. 204 00:09:54,040 --> 00:09:57,400 Speaker 3: That's a whole different level. This robot is selling for 205 00:09:57,440 --> 00:09:58,800 Speaker 3: about fifteen hundred dollars. 206 00:09:58,880 --> 00:10:02,280 Speaker 2: This robot, which I know sounds expensive. 207 00:10:02,360 --> 00:10:04,520 Speaker 3: But Bill, I don't know if you've ever had a dog, 208 00:10:04,720 --> 00:10:07,480 Speaker 3: but you know, my dog had a problem with it's toenail. 209 00:10:07,520 --> 00:10:09,960 Speaker 3: Once one call of the vet yeah, come on in 210 00:10:10,240 --> 00:10:13,439 Speaker 3: seven hundred dollars later, Okay, your dog's your dog's back 211 00:10:13,480 --> 00:10:14,040 Speaker 3: to good again. 212 00:10:14,240 --> 00:10:16,160 Speaker 2: So dogs are not cheap either. 213 00:10:16,679 --> 00:10:19,600 Speaker 1: No, but if someone has that advanced in Alzheimer's, you 214 00:10:19,640 --> 00:10:23,280 Speaker 1: just buy a fluffy slipper and I just say, here, 215 00:10:23,360 --> 00:10:26,000 Speaker 1: this is your dog, and that will run you two 216 00:10:26,760 --> 00:10:31,120 Speaker 1: nine cents at Walmart. Let me tell you, Let. 217 00:10:31,080 --> 00:10:32,800 Speaker 3: Me tell you about a silly one. Let me tell 218 00:10:32,800 --> 00:10:35,120 Speaker 3: you about a silly one. Because this this, I don't 219 00:10:35,120 --> 00:10:38,040 Speaker 3: know you. Maybe I'm wrong on this, but this is 220 00:10:38,080 --> 00:10:39,440 Speaker 3: like one of those things where I look at it, 221 00:10:39,480 --> 00:10:42,280 Speaker 3: I'm like, come on, really, now, you know you've got 222 00:10:42,280 --> 00:10:45,480 Speaker 3: the K cup machine, You've got the Ninja Creamy, You've 223 00:10:45,520 --> 00:10:48,560 Speaker 3: got all these at home appliances that make stuff that 224 00:10:48,559 --> 00:10:49,960 Speaker 3: we used to have to go out for, right, like 225 00:10:50,040 --> 00:10:53,680 Speaker 3: ice cream and smoothies and instant coffee. So this one's 226 00:10:53,720 --> 00:10:59,160 Speaker 3: called ice Explosion, okay, and it makes it's it's basically 227 00:10:59,200 --> 00:11:02,800 Speaker 3: the equivalent of a seven eleven slushy machine for your home. 228 00:11:02,960 --> 00:11:05,720 Speaker 3: So it's a CA cup kind of pod. You put 229 00:11:05,720 --> 00:11:07,160 Speaker 3: it in there, you put some. 230 00:11:07,360 --> 00:11:08,000 Speaker 2: Water in there. 231 00:11:08,040 --> 00:11:10,720 Speaker 3: It takes about four minutes, and the trick is it 232 00:11:10,720 --> 00:11:12,640 Speaker 3: makes carbonated slushy. 233 00:11:12,320 --> 00:11:14,199 Speaker 2: So not just you know, it's slush. 234 00:11:14,080 --> 00:11:16,760 Speaker 3: It's carbonated in about four minutes. They say it's the 235 00:11:16,760 --> 00:11:19,000 Speaker 3: first of its kind ever for the house. 236 00:11:19,360 --> 00:11:22,120 Speaker 2: It also makes you know, they have that soda stream machine. 237 00:11:22,160 --> 00:11:22,960 Speaker 2: People love that. 238 00:11:23,440 --> 00:11:25,360 Speaker 3: I didn't know this because I don't use the soda stream, 239 00:11:25,360 --> 00:11:27,800 Speaker 3: but that soda comes out warm, so you have to 240 00:11:27,800 --> 00:11:29,680 Speaker 3: put it in the fridge to keep it cold or 241 00:11:29,679 --> 00:11:32,560 Speaker 3: to get it cold. This makes ice cold soda in 242 00:11:32,600 --> 00:11:33,520 Speaker 3: about two minutes. 243 00:11:33,960 --> 00:11:38,200 Speaker 1: So that single is that that's a single use or 244 00:11:38,280 --> 00:11:41,720 Speaker 1: a single cup that they offer is do I have 245 00:11:41,760 --> 00:11:42,079 Speaker 1: that right? 246 00:11:43,360 --> 00:11:45,800 Speaker 3: Yeah, it's it's maybe a couple, like a couple of 247 00:11:45,880 --> 00:11:48,840 Speaker 3: small surveys, like maybe two small surveys. Yeah, so it's 248 00:11:49,080 --> 00:11:50,679 Speaker 3: and by the way, you got to wait a minute 249 00:11:50,679 --> 00:11:53,360 Speaker 3: between each drink. So I don't know who needs a 250 00:11:53,400 --> 00:11:56,320 Speaker 3: slurpy that badly. But you know, to spend seven hundred 251 00:11:56,320 --> 00:11:58,520 Speaker 3: dollars on this machine, by the way, plus a dollar 252 00:11:58,640 --> 00:11:59,440 Speaker 3: for the CA cups. 253 00:11:59,720 --> 00:12:01,720 Speaker 2: But you know, it's one of those things that's there. 254 00:12:01,760 --> 00:12:04,440 Speaker 2: It's out there, and you know, we'll see. 255 00:12:04,320 --> 00:12:08,000 Speaker 4: What happens now. And when you talk about AI being. 256 00:12:09,120 --> 00:12:13,960 Speaker 1: Involved in everything, AI is simply in the products that 257 00:12:14,000 --> 00:12:16,880 Speaker 1: are being produced, right, And do they push the fact 258 00:12:16,960 --> 00:12:20,280 Speaker 1: that we're using AI, or do they push the fact 259 00:12:20,280 --> 00:12:22,200 Speaker 1: that look what this can do and just don't even 260 00:12:22,240 --> 00:12:22,679 Speaker 1: mention it. 261 00:12:22,679 --> 00:12:23,120 Speaker 4: It's AI. 262 00:12:24,520 --> 00:12:27,280 Speaker 3: Oh no, AI is I mean, look for people in 263 00:12:27,320 --> 00:12:28,760 Speaker 3: the tech world, and I think people are kind of 264 00:12:28,760 --> 00:12:31,800 Speaker 3: getting tired of the term AI because it's just like, okay, 265 00:12:31,840 --> 00:12:32,560 Speaker 3: give me a break. 266 00:12:32,840 --> 00:12:34,280 Speaker 2: But when these. 267 00:12:34,120 --> 00:12:37,679 Speaker 3: Products can actually help you accomplish a task that you 268 00:12:37,760 --> 00:12:39,840 Speaker 3: have done in the past or we're not able to 269 00:12:39,880 --> 00:12:42,840 Speaker 3: do in the past easily, that's when people are interested. 270 00:12:42,960 --> 00:12:46,040 Speaker 3: So for instance, I'll just leave you with this one. 271 00:12:46,240 --> 00:12:48,560 Speaker 3: One of the other trends we're seeing is is this 272 00:12:48,640 --> 00:12:53,800 Speaker 3: idea of unlimited memory. So we've seen earbuds, we've seen pendants, 273 00:12:54,000 --> 00:12:57,560 Speaker 3: we've seen rings. They all have AI built into them 274 00:12:57,760 --> 00:13:01,680 Speaker 3: where they are recording basically your entire day, so four 275 00:13:01,720 --> 00:13:04,839 Speaker 3: to five hours at a time, where it's just every 276 00:13:05,000 --> 00:13:08,280 Speaker 3: person you meet, every conversation you have, and then AI 277 00:13:08,440 --> 00:13:10,600 Speaker 3: goes and it just puts it all into this memory 278 00:13:10,640 --> 00:13:14,120 Speaker 3: bank that you can then ask questions of later. So 279 00:13:14,320 --> 00:13:16,480 Speaker 3: for people that are you know, salespeople, business people, this 280 00:13:16,480 --> 00:13:19,240 Speaker 3: could be very very helpful or even for the average person. 281 00:13:19,640 --> 00:13:20,720 Speaker 2: And so that's an. 282 00:13:20,640 --> 00:13:22,560 Speaker 3: Example of a product we were like, Okay, come on, 283 00:13:22,600 --> 00:13:23,160 Speaker 3: give me a break. 284 00:13:23,200 --> 00:13:26,360 Speaker 2: Do we really need that? But for some people that. 285 00:13:26,280 --> 00:13:28,880 Speaker 3: Could be very handy, and it can even make them 286 00:13:28,880 --> 00:13:31,040 Speaker 3: more money, make them better in their job, or just 287 00:13:31,080 --> 00:13:33,000 Speaker 3: better in their personal life listening to their wife's hell 288 00:13:33,040 --> 00:13:34,040 Speaker 3: them something and you remember it. 289 00:13:34,040 --> 00:13:35,559 Speaker 2: Actually, So where is. 290 00:13:35,480 --> 00:13:37,880 Speaker 1: This memory held? I mean that you can't go back 291 00:13:37,920 --> 00:13:39,800 Speaker 1: what happened a year ago? Is it up on the 292 00:13:39,840 --> 00:13:42,040 Speaker 1: cloud or the device itself has enough memory? 293 00:13:43,440 --> 00:13:46,120 Speaker 3: Usually the device will will offload it to the cloud, 294 00:13:46,160 --> 00:13:47,679 Speaker 3: and yeah, you could go back a year. I mean 295 00:13:47,679 --> 00:13:49,600 Speaker 3: the idea is that you know, and we've seen I'm 296 00:13:49,600 --> 00:13:50,760 Speaker 3: actually meeting with one. 297 00:13:50,640 --> 00:13:51,560 Speaker 2: Of the companies. 298 00:13:51,600 --> 00:13:53,720 Speaker 3: I think I can tell you this one of the 299 00:13:53,720 --> 00:13:57,439 Speaker 3: companies that Amazon bought that's making this technology. 300 00:13:57,559 --> 00:13:59,720 Speaker 2: And so I mean it's like, you know, this is 301 00:13:59,760 --> 00:14:00,480 Speaker 2: big money. 302 00:14:00,520 --> 00:14:02,920 Speaker 3: You know, this is definitely seen as one of the 303 00:14:02,960 --> 00:14:06,280 Speaker 3: next big frontiers where you will wear a ring, you'll 304 00:14:06,280 --> 00:14:08,680 Speaker 3: wear a necklace, you'll wear a risk band that will 305 00:14:08,720 --> 00:14:11,240 Speaker 3: literally record every single. 306 00:14:11,000 --> 00:14:11,880 Speaker 2: Moment of your day. 307 00:14:11,960 --> 00:14:16,000 Speaker 3: Because data is getting cheaper, cloud is getting cheaper, Connections 308 00:14:16,040 --> 00:14:20,000 Speaker 3: are everywhere, and it's become so cheap to just memorize 309 00:14:20,040 --> 00:14:21,560 Speaker 3: every single thing that happens to you. 310 00:14:21,800 --> 00:14:23,680 Speaker 2: And then have AI sort through it later on. 311 00:14:24,280 --> 00:14:26,480 Speaker 4: All right, Rich, Thanks as always. 312 00:14:26,760 --> 00:14:30,720 Speaker 1: You're here Saturday eleven to two and on KTLA every 313 00:14:30,760 --> 00:14:34,320 Speaker 1: single day. Instagram the address at rich on Tech. That's 314 00:14:34,360 --> 00:14:38,200 Speaker 1: tec website, rich on Tech. That's T. E. C. H. 315 00:14:38,560 --> 00:14:41,200 Speaker 1: Rich on Tech dot tv. You have a good one, Rich, 316 00:14:41,400 --> 00:14:42,280 Speaker 1: catch over the weekend. 317 00:14:42,320 --> 00:14:42,840 Speaker 2: Thanks Bill,