1 00:00:00,120 --> 00:00:02,000 Speaker 1: Let's say good morning now to the host of Rich 2 00:00:02,160 --> 00:00:05,920 Speaker 1: on Tech on KFI KTLA's tech reporter Rich Demiro in 3 00:00:06,160 --> 00:00:07,720 Speaker 1: Sin City for cees. 4 00:00:07,840 --> 00:00:10,000 Speaker 2: I bet you're like a kid in a candy store 5 00:00:10,080 --> 00:00:10,559 Speaker 2: right now. 6 00:00:12,000 --> 00:00:15,640 Speaker 3: Oh I am, and I actually tried some smart candy 7 00:00:15,720 --> 00:00:20,440 Speaker 3: as well. Here at CS a lollipop that makes music 8 00:00:20,520 --> 00:00:23,120 Speaker 3: in your head as you suck on it. 9 00:00:23,160 --> 00:00:23,320 Speaker 4: What. 10 00:00:25,079 --> 00:00:31,800 Speaker 3: Yeah, this thing is uh, it's basically a lollipop, that's yeah, 11 00:00:31,920 --> 00:00:34,640 Speaker 3: it just has a it's called Lollipop Star and it 12 00:00:34,680 --> 00:00:36,879 Speaker 3: has a little tiny music player in it and he 13 00:00:36,960 --> 00:00:39,680 Speaker 3: uses bone conduction. So when it's in your mouth, you 14 00:00:39,680 --> 00:00:42,199 Speaker 3: do have to have ear plugs in you can hear it, 15 00:00:42,320 --> 00:00:44,279 Speaker 3: and it's kind of wild. I think we only had 16 00:00:44,320 --> 00:00:46,440 Speaker 3: ear plugs in because the room we're in was so loud, 17 00:00:46,760 --> 00:00:50,240 Speaker 3: But otherwise, you know, it's an interesting use of technology 18 00:00:50,280 --> 00:00:50,680 Speaker 3: for sure. 19 00:00:51,000 --> 00:00:53,600 Speaker 1: Okay, And when you so you suck on a lollipop, 20 00:00:54,080 --> 00:00:57,320 Speaker 1: you hear music, but nobody else hears it. 21 00:00:57,520 --> 00:00:59,880 Speaker 3: Correct And this is not a new technology. There's some 22 00:01:00,040 --> 00:01:02,560 Speaker 3: thing called bone conduction that's been around for a long time. 23 00:01:02,880 --> 00:01:04,800 Speaker 3: A lot of headphones use it, a lot of runners 24 00:01:04,840 --> 00:01:08,080 Speaker 3: like it. But this is built into the basically the 25 00:01:08,240 --> 00:01:10,679 Speaker 3: stem of the lollipop. There's a little battery and a 26 00:01:10,720 --> 00:01:12,920 Speaker 3: little electronic component. 27 00:01:13,200 --> 00:01:14,600 Speaker 4: The only thing that is kind of weird. 28 00:01:14,640 --> 00:01:16,440 Speaker 3: You know, this thing sells for nine dollars. The only 29 00:01:16,440 --> 00:01:18,640 Speaker 3: thing that's kind of weird is that it's one time use. 30 00:01:18,760 --> 00:01:20,960 Speaker 3: So as soon as you're done with this lollipops that 31 00:01:21,080 --> 00:01:21,360 Speaker 3: back it. 32 00:01:23,440 --> 00:01:25,120 Speaker 2: Okay, so sucks slowly. 33 00:01:26,560 --> 00:01:30,320 Speaker 1: Yeah, all right, So here's another one I just saw 34 00:01:30,400 --> 00:01:32,920 Speaker 1: you sent. Normally rich sends me a list of things 35 00:01:32,920 --> 00:01:35,040 Speaker 1: that we might talk about, and it's like usually three 36 00:01:35,160 --> 00:01:37,840 Speaker 1: or four long. There's like twenty five things on this list, 37 00:01:37,840 --> 00:01:39,880 Speaker 1: so I know we can't get to everything. But the 38 00:01:39,880 --> 00:01:43,240 Speaker 1: first one on them I think is really interesting. It's 39 00:01:43,319 --> 00:01:46,319 Speaker 1: AI earbuds that record your conversations. 40 00:01:47,960 --> 00:01:50,640 Speaker 3: Yeah, so this is something that we're seeing over and 41 00:01:50,680 --> 00:01:51,440 Speaker 3: over at the show. 42 00:01:51,480 --> 00:01:53,360 Speaker 4: These are called cap Minds, and. 43 00:01:53,400 --> 00:01:55,840 Speaker 3: Basically, yeah, they are earbuds that you would wear to 44 00:01:55,880 --> 00:01:57,760 Speaker 3: listen to music, but you can just keep them in 45 00:01:58,200 --> 00:02:01,240 Speaker 3: and they will just record with a press of a 46 00:02:01,240 --> 00:02:03,320 Speaker 3: button on the side of them, anything you need. So 47 00:02:03,320 --> 00:02:05,760 Speaker 3: if you're in a meeting, you want to record a conversation, 48 00:02:06,000 --> 00:02:09,640 Speaker 3: you want to record just daily life interactions at a conference, 49 00:02:10,240 --> 00:02:12,880 Speaker 3: AI will then remember all that stuff and sort through 50 00:02:12,880 --> 00:02:15,280 Speaker 3: it later. And this is an idea we're seeing over 51 00:02:15,480 --> 00:02:18,240 Speaker 3: and over. In fact, I went to an event last 52 00:02:18,320 --> 00:02:21,360 Speaker 3: night for two hours, and I just had my handy 53 00:02:21,680 --> 00:02:26,080 Speaker 3: plot recorder, which is an AI recorder, sitting on my backpack, 54 00:02:26,120 --> 00:02:29,240 Speaker 3: and it just recorded the entire interaction I had the 55 00:02:29,280 --> 00:02:31,680 Speaker 3: whole night. I got back and I have every single 56 00:02:31,680 --> 00:02:34,919 Speaker 3: thing that I learned. Every person I talk to all 57 00:02:35,120 --> 00:02:37,560 Speaker 3: easily sliceable and disable thanks to AI. 58 00:02:38,400 --> 00:02:42,200 Speaker 1: So it records it and then you can do what 59 00:02:42,280 --> 00:02:42,840 Speaker 1: you want with it. 60 00:02:42,880 --> 00:02:44,400 Speaker 2: But does it transcribe it to. 61 00:02:45,760 --> 00:02:50,120 Speaker 3: Oh yeah, transcribe, summarize, search anything you need. I mean, 62 00:02:50,120 --> 00:02:53,560 Speaker 3: this is the reality of cheap cloud storage and quick 63 00:02:53,600 --> 00:02:58,600 Speaker 3: processing time with AI. I mean really, life's memories are 64 00:02:58,720 --> 00:03:03,119 Speaker 3: just getting easily searched and retainable now because of this technology. 65 00:03:03,800 --> 00:03:04,440 Speaker 2: Interesting. 66 00:03:04,639 --> 00:03:08,960 Speaker 1: Okay, well let's talk about some other technology. I actually 67 00:03:09,000 --> 00:03:12,600 Speaker 1: I posted one of the things that you posted. I 68 00:03:12,639 --> 00:03:15,960 Speaker 1: reposted it on my story at amy K King and 69 00:03:16,000 --> 00:03:18,560 Speaker 1: I was like, what is that thing climbing up the stairs? 70 00:03:18,680 --> 00:03:20,680 Speaker 2: It's a room, but that does stairs. 71 00:03:22,320 --> 00:03:25,639 Speaker 3: Yes, this was a popular thing to see. This is 72 00:03:25,680 --> 00:03:28,679 Speaker 3: from a company called dream d r e a M. 73 00:03:29,720 --> 00:03:33,760 Speaker 3: They're a pretty well known manufacturer of these robotic vacuums, 74 00:03:33,960 --> 00:03:36,880 Speaker 3: but basically it's a vacuum that will climb the stairs. 75 00:03:37,120 --> 00:03:40,400 Speaker 3: It doesn't vacuum the stairs. So basically think about, you know, 76 00:03:40,480 --> 00:03:44,120 Speaker 3: the roomba type style circular vacuum. When it needs to 77 00:03:44,160 --> 00:03:47,240 Speaker 3: go up the stairs, it goes into this little compartment 78 00:03:47,840 --> 00:03:51,920 Speaker 3: that like a docking station basically, and it can ride 79 00:03:51,960 --> 00:03:52,680 Speaker 3: up the stairs. 80 00:03:52,720 --> 00:03:54,800 Speaker 4: It has these weird caterpillar. 81 00:03:54,320 --> 00:03:57,080 Speaker 3: Kind of track platforms that it uses, and it can 82 00:03:57,120 --> 00:03:59,680 Speaker 3: go up the stairs and then down the stairs, and 83 00:03:59,720 --> 00:04:01,840 Speaker 3: then it comes out of the little docking station when 84 00:04:01,880 --> 00:04:03,800 Speaker 3: it gets to the next level of your house and 85 00:04:03,880 --> 00:04:06,160 Speaker 3: continues on its merry way to vacuum the floor. 86 00:04:06,440 --> 00:04:08,920 Speaker 1: I love that there's robots for everything you've got. You 87 00:04:09,000 --> 00:04:11,040 Speaker 1: found a robot that folds your laundry for you. 88 00:04:11,080 --> 00:04:11,760 Speaker 2: How does that go? 89 00:04:13,160 --> 00:04:15,560 Speaker 4: Oh my gosh, so many robots. 90 00:04:15,640 --> 00:04:17,200 Speaker 3: In fact, today I'm going to go back and just 91 00:04:17,360 --> 00:04:19,279 Speaker 3: get I did a lot of it for my social media, 92 00:04:19,360 --> 00:04:21,120 Speaker 3: but today I'm going to go back and shoot it 93 00:04:21,160 --> 00:04:22,960 Speaker 3: all for TV. But there are just so many. This 94 00:04:23,040 --> 00:04:27,200 Speaker 3: one was from Dina Dyna. Watch them with their laundry 95 00:04:27,200 --> 00:04:29,960 Speaker 3: folding robot. The robots just sat there and you know, 96 00:04:30,320 --> 00:04:34,039 Speaker 3: autonomously figured out how to fold towels and shirts, and 97 00:04:34,080 --> 00:04:36,600 Speaker 3: I was watching it, and it's interesting. A human is 98 00:04:36,640 --> 00:04:40,400 Speaker 3: going to be a lot faster, but over time this 99 00:04:40,480 --> 00:04:42,960 Speaker 3: is a lot more efficient because it can do this 100 00:04:43,320 --> 00:04:46,080 Speaker 3: twenty four to seven without a break. Ever, And so 101 00:04:46,120 --> 00:04:48,120 Speaker 3: I watched it fold some towels. I watched it fold 102 00:04:48,120 --> 00:04:51,720 Speaker 3: some t shirts. LG also has a laundry folding robot 103 00:04:51,760 --> 00:04:53,800 Speaker 3: as well, and this is not a new concept. 104 00:04:54,120 --> 00:04:54,680 Speaker 4: I covered a. 105 00:04:54,720 --> 00:04:58,000 Speaker 3: Laundry folding robot almost a decade ago with this show 106 00:04:58,400 --> 00:05:01,840 Speaker 3: and that went viral. It's so far not made it 107 00:05:01,920 --> 00:05:04,960 Speaker 3: into the mainstream because this technology is still really tough 108 00:05:05,000 --> 00:05:06,120 Speaker 3: and still very expensive. 109 00:05:06,400 --> 00:05:09,360 Speaker 1: Okay, well, so it's something that we have to look 110 00:05:09,400 --> 00:05:12,640 Speaker 1: forward to. Here's something else to look forward to. A 111 00:05:12,839 --> 00:05:15,080 Speaker 1: lifelike robotic therapy dog. 112 00:05:16,839 --> 00:05:20,200 Speaker 3: Yes, this is called Jenny, and this actually from a 113 00:05:20,200 --> 00:05:23,000 Speaker 3: company that's in the Los Angeles area. This is a 114 00:05:23,040 --> 00:05:26,720 Speaker 3: dog that they worked with Jim Henson's Creature shop to make. 115 00:05:27,080 --> 00:05:30,000 Speaker 3: So it's very realistic, very lifelike. It's got all kinds 116 00:05:30,040 --> 00:05:32,840 Speaker 3: of censers. It's a lap dog, so it's not going 117 00:05:32,880 --> 00:05:34,800 Speaker 3: to do tricks, it's not going to jump, but it 118 00:05:34,800 --> 00:05:37,120 Speaker 3: does respond to the name that you make it. It 119 00:05:37,200 --> 00:05:41,520 Speaker 3: has AI obviously, and it's very realistic, so realistic amy 120 00:05:41,560 --> 00:05:45,039 Speaker 3: that it actually shed on my jacket. So when I 121 00:05:45,080 --> 00:05:46,920 Speaker 3: was holding and petting this thing, when I put it down, 122 00:05:46,920 --> 00:05:48,560 Speaker 3: I was like, wait a second, I've got all this 123 00:05:48,880 --> 00:05:52,240 Speaker 3: fur on me. And it is a serious robot. It's 124 00:05:52,279 --> 00:05:56,559 Speaker 3: actually for people with dementia or Alzheimer's when they can't 125 00:05:56,640 --> 00:05:59,640 Speaker 3: have a dog because of safety reasons or another reason. 126 00:06:00,040 --> 00:06:01,360 Speaker 4: That's why the inventor made it. 127 00:06:01,400 --> 00:06:03,200 Speaker 3: And uh, I think they're going to sell a lot 128 00:06:03,240 --> 00:06:06,039 Speaker 3: of these things, especially to assisted living homes and just 129 00:06:06,080 --> 00:06:08,960 Speaker 3: people who want a replacement for that human or that 130 00:06:09,440 --> 00:06:09,960 Speaker 3: real dog. 131 00:06:10,240 --> 00:06:13,720 Speaker 2: I just googled him. He's very cute or she's very 132 00:06:14,279 --> 00:06:14,720 Speaker 2: it's all. 133 00:06:14,600 --> 00:06:17,320 Speaker 4: In love with this dog. Yeah, yeah, I know. Is 134 00:06:17,360 --> 00:06:20,040 Speaker 4: it Is it a she? I'm not sure, but it is. Uh. 135 00:06:20,200 --> 00:06:22,520 Speaker 4: It is very cute, especially because of the face and 136 00:06:22,680 --> 00:06:25,600 Speaker 4: eyes and the movements. I mean, it's really like they 137 00:06:25,640 --> 00:06:26,240 Speaker 4: did a great job. 138 00:06:26,240 --> 00:06:28,159 Speaker 3: I mean, obviously it almost looks like a muppet because 139 00:06:28,200 --> 00:06:30,800 Speaker 3: they used Jim Henson, so they did a really good 140 00:06:30,880 --> 00:06:33,920 Speaker 3: job on the lifelikeness. 141 00:06:32,800 --> 00:06:33,520 Speaker 4: Of this dog. 142 00:06:33,800 --> 00:06:36,240 Speaker 2: Okay, how much longer is CEES go for? 143 00:06:37,800 --> 00:06:42,159 Speaker 3: Uh CS goes until Friday, but most people head out 144 00:06:42,279 --> 00:06:44,160 Speaker 3: a little bit early, and my go till Thursday. I'm 145 00:06:44,200 --> 00:06:45,839 Speaker 3: not sure. I'm here all week, so you know, I 146 00:06:45,880 --> 00:06:48,360 Speaker 3: have meetings all weeks. I do my radio show from here. 147 00:06:48,640 --> 00:06:51,320 Speaker 3: It's a it's a it's a week long event for myself, 148 00:06:51,400 --> 00:06:53,839 Speaker 3: and it starts earlier than the show actually opens too. 149 00:06:54,080 --> 00:06:55,960 Speaker 2: Okay, so I have a question for you. 150 00:06:56,080 --> 00:06:59,200 Speaker 1: I mean, you're the tech guy, so either you're absolutely 151 00:06:59,320 --> 00:07:02,000 Speaker 1: just like in Hea right now or you're already just going. 152 00:07:02,720 --> 00:07:04,600 Speaker 1: All right, I've had enough tech. I want to go 153 00:07:04,640 --> 00:07:06,400 Speaker 1: and sit in the woods or something. 154 00:07:07,960 --> 00:07:12,280 Speaker 4: Oh you mean that a slot machine? No, I'm just kidding. No, 155 00:07:12,480 --> 00:07:15,360 Speaker 4: there's so much to see. I actually love it. 156 00:07:15,360 --> 00:07:18,080 Speaker 3: It's so much fun because it's an education for me. 157 00:07:18,120 --> 00:07:19,960 Speaker 3: You know, on my radio show, people are always calling 158 00:07:19,960 --> 00:07:22,280 Speaker 3: and asking questions about this stuff. So the more that 159 00:07:22,360 --> 00:07:24,840 Speaker 3: I can see, the more that I understand, the more 160 00:07:24,880 --> 00:07:27,320 Speaker 3: problems I can solve, and I can understand kind of 161 00:07:27,440 --> 00:07:29,800 Speaker 3: what's out there in the world when it comes to 162 00:07:29,840 --> 00:07:31,960 Speaker 3: this stuff. So for me, I really enjoy this. And 163 00:07:32,000 --> 00:07:34,760 Speaker 3: there's just my only thing I don't like is I 164 00:07:34,760 --> 00:07:36,960 Speaker 3: don't have enough time to see everything here because there's 165 00:07:36,960 --> 00:07:38,040 Speaker 3: just so many exhibitors. 166 00:07:38,120 --> 00:07:40,360 Speaker 1: Okay, we're going to call you Rich the tech Sponge. 167 00:07:40,560 --> 00:07:43,960 Speaker 1: You're soaking up all the information and we can hear 168 00:07:44,040 --> 00:07:47,040 Speaker 1: more about it. I bet this Saturday from eleven to 169 00:07:47,120 --> 00:07:50,720 Speaker 1: two on your show right here on KFI Rich on Tech, 170 00:07:51,080 --> 00:07:53,880 Speaker 1: And as Rich just mentioned too, he's posting stuff all 171 00:07:53,880 --> 00:07:57,200 Speaker 1: week on his Instagram, so you can follow him at 172 00:07:57,360 --> 00:08:01,200 Speaker 1: rich on Tech and find out more Rich on tech 173 00:08:01,240 --> 00:08:03,920 Speaker 1: dot tv too, Rich DeMuro. 174 00:08:03,760 --> 00:08:08,560 Speaker 2: Have a blast. Thank you, Amy, Okay, thanks so much. 175 00:08:08,640 --> 00:08:09,440 Speaker 2: We'll talk to you soon.