1 00:00:00,120 --> 00:00:02,640 Speaker 1: We were going to have a live report from Snowmageddon 2 00:00:02,920 --> 00:00:06,800 Speaker 1: in Toronto. Yeah, Toronto snowed in, and we happen to 3 00:00:06,840 --> 00:00:10,920 Speaker 1: have Mark Saltzman, host or host of our tech Talk 4 00:00:11,320 --> 00:00:13,360 Speaker 1: and host of check it Out? 5 00:00:13,760 --> 00:00:16,000 Speaker 2: Is it check it out? The machines are getting smart. 6 00:00:16,600 --> 00:00:21,320 Speaker 2: This is tech Talk, brought to you my sky Net. Mark. 7 00:00:21,400 --> 00:00:26,680 Speaker 1: Sorry, I'm screwing everything up. Are you there? So? 8 00:00:27,080 --> 00:00:29,440 Speaker 2: Yeah, Hey, are you here? Hear you? No? No, no, no, 9 00:00:29,480 --> 00:00:31,800 Speaker 2: I'm buried under the snow. He's checking it out. You're 10 00:00:31,840 --> 00:00:33,919 Speaker 2: not wrong. Tech it Out is the name of my podcast, 11 00:00:33,960 --> 00:00:36,480 Speaker 2: and it's the show on the Patriot, your sister station 12 00:00:36,600 --> 00:00:39,480 Speaker 2: k e i B one hundred stations across the country. 13 00:00:39,560 --> 00:00:41,760 Speaker 2: Take the show, and hello Andy. Good to chat with 14 00:00:41,800 --> 00:00:42,560 Speaker 2: you as well. Mark. 15 00:00:42,920 --> 00:00:45,680 Speaker 3: I hope you're uh. You've got lots of soup up there. 16 00:00:45,800 --> 00:00:47,479 Speaker 3: Looks like you've got to be digging out for a 17 00:00:47,520 --> 00:00:48,120 Speaker 3: couple of months. 18 00:00:48,360 --> 00:00:50,520 Speaker 2: That's exactly what my lunch was today, was a good 19 00:00:50,600 --> 00:00:55,360 Speaker 2: beef barley, hearty kind of stew like meal. Because yeah, 20 00:00:55,360 --> 00:00:58,920 Speaker 2: we've got forty centimeters so far, that's about eighteen inches. 21 00:00:58,960 --> 00:01:02,000 Speaker 2: I'm really bad with wow, a lot of snow. Yeah. Yeah. 22 00:01:02,000 --> 00:01:04,040 Speaker 2: I sent a picture to uh to Matthew. 23 00:01:04,120 --> 00:01:07,600 Speaker 1: Yeah, we see it. Your entire driveway and leading up 24 00:01:07,640 --> 00:01:09,200 Speaker 1: into the step. Now just the. 25 00:01:09,160 --> 00:01:12,160 Speaker 2: Steps to the front. No, we have a service. Yeah, okay, 26 00:01:12,480 --> 00:01:14,880 Speaker 2: we have a pretty sizable driveway. 27 00:01:14,920 --> 00:01:16,520 Speaker 3: So I don't want to know. People are pretty used 28 00:01:16,560 --> 00:01:18,840 Speaker 3: to this kind of thing. If this happened in southern California, 29 00:01:19,000 --> 00:01:20,000 Speaker 3: it would be the end all day. 30 00:01:20,200 --> 00:01:24,160 Speaker 2: You got like six rain drops in the city shuts down. Yeah, sorry, 31 00:01:24,200 --> 00:01:26,280 Speaker 2: it's true. That's true. Yeah. I have friends in LA. 32 00:01:26,360 --> 00:01:28,680 Speaker 2: They say the same thing. Look, it's not buffalo snow 33 00:01:28,760 --> 00:01:30,560 Speaker 2: that we get, but it's it can be pretty bad 34 00:01:30,560 --> 00:01:31,039 Speaker 2: A couple of times. 35 00:01:31,040 --> 00:01:31,840 Speaker 3: It looks like a lot of fun. 36 00:01:31,880 --> 00:01:32,720 Speaker 2: Are the dude, it's fun. 37 00:01:32,720 --> 00:01:33,600 Speaker 3: Are the kids liking it? 38 00:01:34,040 --> 00:01:37,640 Speaker 2: My kids are away at college, so they have very 39 00:01:37,680 --> 00:01:40,600 Speaker 2: little snow where they are. But yeah, I mean the 40 00:01:40,600 --> 00:01:42,839 Speaker 2: little kids will love it. Naturally. It's a snow day. 41 00:01:42,880 --> 00:01:45,200 Speaker 2: So no school. Who did like growing up that was 42 00:01:45,240 --> 00:01:47,360 Speaker 2: like obviously a really big deal when you wake up 43 00:01:47,400 --> 00:01:50,880 Speaker 2: and your parents said no school todays, Lord camp bustle 44 00:01:50,880 --> 00:01:52,560 Speaker 2: the lord cancer. I know the folks in the Northeast 45 00:01:52,640 --> 00:01:55,400 Speaker 2: know that. But yeah, my kids are grown. I got 46 00:01:55,400 --> 00:01:58,559 Speaker 2: twins who are twenty three and twenty one year old Mark. 47 00:01:59,200 --> 00:02:02,400 Speaker 1: You are fresh off of Cees where you say robots 48 00:02:02,440 --> 00:02:03,480 Speaker 1: were everywhere. 49 00:02:03,880 --> 00:02:07,280 Speaker 2: Yeah, so both the robots like you know, the humanoid 50 00:02:07,400 --> 00:02:10,600 Speaker 2: kind that we're still not there yet, despite what Musk says. 51 00:02:10,960 --> 00:02:13,600 Speaker 2: We saw those. You know, they can do tai chi 52 00:02:13,840 --> 00:02:17,359 Speaker 2: and they can very slowly fold your laundry. But we're 53 00:02:17,360 --> 00:02:19,920 Speaker 2: not quite there yet for the kind of domestic robots 54 00:02:19,960 --> 00:02:23,160 Speaker 2: that we all were envisioning for, you know in the 55 00:02:23,160 --> 00:02:25,760 Speaker 2: twenty twenties, back when we were watching the Jetsons in 56 00:02:25,800 --> 00:02:27,760 Speaker 2: the seventies. If you're old enough to know that, reference 57 00:02:27,840 --> 00:02:30,640 Speaker 2: Rosie the robot. But we did see some purpose built 58 00:02:30,760 --> 00:02:34,280 Speaker 2: robots that were very impressive and practical, and a lot 59 00:02:34,360 --> 00:02:37,799 Speaker 2: of them are tied to the cleaning space. We'll talk 60 00:02:37,840 --> 00:02:40,320 Speaker 2: about a companion robot in a second, but yeah, robots 61 00:02:40,400 --> 00:02:45,000 Speaker 2: that aren't new, those circular robots that clean your floor. 62 00:02:45,120 --> 00:02:47,360 Speaker 2: Some of them not just vacuum, but they moth. But 63 00:02:47,440 --> 00:02:50,120 Speaker 2: we saw some pretty innovative ones that are almost ready 64 00:02:50,120 --> 00:02:52,320 Speaker 2: for primetime. They're coming out over the next couple of months. 65 00:02:52,600 --> 00:02:56,520 Speaker 2: One is from a company called Dreamy that can extend 66 00:02:56,560 --> 00:02:59,239 Speaker 2: an arm out of the top of the vacuum cleaner 67 00:02:59,480 --> 00:03:01,520 Speaker 2: and pick up things off the floor and put them 68 00:03:01,520 --> 00:03:04,200 Speaker 2: in the right place. So you do that through the app. 69 00:03:04,200 --> 00:03:06,360 Speaker 2: You say, if you see anything that looks like a kleenex, 70 00:03:06,400 --> 00:03:08,919 Speaker 2: for example, a tissue that goes in the trash can, 71 00:03:09,320 --> 00:03:12,560 Speaker 2: socks go in the hamper, toys go in this little 72 00:03:12,680 --> 00:03:15,440 Speaker 2: basket here, shoes by the front door, and it'll do 73 00:03:15,480 --> 00:03:17,600 Speaker 2: it up to a pound pounds and a half. 74 00:03:17,760 --> 00:03:18,440 Speaker 3: That's pretty cool. 75 00:03:18,520 --> 00:03:20,359 Speaker 2: Yeah, that was pretty neat. So it moves the big 76 00:03:20,400 --> 00:03:23,239 Speaker 2: stuff out of the way while it vacuums and mops 77 00:03:23,240 --> 00:03:28,880 Speaker 2: your floor. Robo Rock another company showed the first robotic 78 00:03:29,000 --> 00:03:32,600 Speaker 2: vac cleaner that can climb stairs, because most of them 79 00:03:32,639 --> 00:03:34,280 Speaker 2: stop there and then you got to manually pick it 80 00:03:34,360 --> 00:03:36,480 Speaker 2: up and move it to another floor if you live 81 00:03:37,000 --> 00:03:38,680 Speaker 2: you know, if you don't live in a bungalow bungalow 82 00:03:38,680 --> 00:03:41,160 Speaker 2: and you've got a multi level home, then you have 83 00:03:41,200 --> 00:03:43,760 Speaker 2: to physically lift it up and put it or you 84 00:03:43,800 --> 00:03:46,120 Speaker 2: if you can afford to have robots on each floor, great, 85 00:03:46,360 --> 00:03:48,880 Speaker 2: But now this can climb stairs. Great good, And that 86 00:03:49,000 --> 00:03:50,720 Speaker 2: was pretty cool. And then the third is from a 87 00:03:50,760 --> 00:03:54,560 Speaker 2: company called u Fie. That's euf Y, and it's the 88 00:03:54,600 --> 00:03:58,160 Speaker 2: first that will emit fragrances in the air as it cleans. 89 00:03:58,600 --> 00:04:01,520 Speaker 2: It's got a romatherapy like nice. You know, you get 90 00:04:01,600 --> 00:04:04,720 Speaker 2: like three different vials in the box and then you 91 00:04:04,760 --> 00:04:06,880 Speaker 2: can buy more, but they each last a couple of months. 92 00:04:06,880 --> 00:04:10,880 Speaker 2: So they spray some lovely smelling scents as it cleans 93 00:04:10,880 --> 00:04:14,160 Speaker 2: your home after it vacuums and mops. So I thought 94 00:04:14,160 --> 00:04:17,360 Speaker 2: that was clever and practical. But yeah, so I think 95 00:04:17,440 --> 00:04:20,440 Speaker 2: last week, Shannon, we may have talked about this puppy 96 00:04:20,680 --> 00:04:23,760 Speaker 2: that seemed to win like Best of Show, not in 97 00:04:23,839 --> 00:04:24,359 Speaker 2: my lists. 98 00:04:25,000 --> 00:04:27,680 Speaker 3: It's funny because you were talking about all these robots 99 00:04:27,720 --> 00:04:30,880 Speaker 3: in the house. I can't imagine it being more terrifying 100 00:04:30,880 --> 00:04:31,320 Speaker 3: to anybody. 101 00:04:31,400 --> 00:04:35,160 Speaker 2: But the dogs, Well this is so the dogs are 102 00:04:35,440 --> 00:04:39,320 Speaker 2: meant to be companion bots. They look like this. In 103 00:04:39,360 --> 00:04:43,680 Speaker 2: this case, this one's called Jenny from a company called Tombot. 104 00:04:43,720 --> 00:04:45,960 Speaker 2: It looks like a ten week old lab that is 105 00:04:46,040 --> 00:04:48,200 Speaker 2: meant for your lap. It doesn't walk around your home. 106 00:04:48,600 --> 00:04:51,760 Speaker 2: But they've been rolling these out in long term care 107 00:04:51,839 --> 00:04:56,400 Speaker 2: facilities and with dementia patients as well, and sometimes they're 108 00:04:56,800 --> 00:05:00,760 Speaker 2: the one and the same. But these are very realistic 109 00:05:01,120 --> 00:05:02,640 Speaker 2: looking and feeling got I. 110 00:05:02,640 --> 00:05:04,320 Speaker 1: Think they're great for those purposes. 111 00:05:04,640 --> 00:05:06,680 Speaker 2: Yeah, and you know, it's funny. So we talked about 112 00:05:06,680 --> 00:05:08,360 Speaker 2: on the air, and I wrote about it for USA 113 00:05:08,480 --> 00:05:10,920 Speaker 2: Today as part of my coverage, and I got more 114 00:05:11,360 --> 00:05:15,839 Speaker 2: messages from readers. I wrote about fifty five products from 115 00:05:15,920 --> 00:05:19,400 Speaker 2: cees for USA Today, and this by far was the 116 00:05:19,400 --> 00:05:21,560 Speaker 2: one that I got the most messages about, saying, you know, 117 00:05:21,600 --> 00:05:24,080 Speaker 2: I'm looking into this from my mom or so. Yeah, 118 00:05:24,120 --> 00:05:26,880 Speaker 2: so apparently, And there's some videos online if you just 119 00:05:26,920 --> 00:05:30,760 Speaker 2: do a search for tom Bot or Jenny Robot Dog, 120 00:05:30,839 --> 00:05:33,880 Speaker 2: you'll see the videos. Again, they're meant more for your lap. 121 00:05:34,080 --> 00:05:35,640 Speaker 2: They don't want them on the floor in case they 122 00:05:35,920 --> 00:05:39,560 Speaker 2: they're tripped over. But you know, some people, some journalists 123 00:05:39,560 --> 00:05:42,080 Speaker 2: were saying it was the best of show. I wouldn't 124 00:05:42,160 --> 00:05:42,680 Speaker 2: go that. 125 00:05:42,680 --> 00:05:46,280 Speaker 1: That's a cute headline, isn't it. Yeah. You also talked 126 00:05:46,320 --> 00:05:49,840 Speaker 1: about wearable AI, like an AI necklace that acts as 127 00:05:49,880 --> 00:05:52,400 Speaker 1: a constant personal assistant. That sounds pretty cool. 128 00:05:52,720 --> 00:05:54,880 Speaker 2: Yeah, it's cool if you're you know, as long as 129 00:05:54,920 --> 00:05:57,080 Speaker 2: you do your due diligence and it's private, like you know, 130 00:05:57,120 --> 00:05:58,920 Speaker 2: you don't know what the company does with your data. 131 00:05:58,920 --> 00:06:02,279 Speaker 2: But there's a few that have like full websites devoted 132 00:06:02,320 --> 00:06:04,200 Speaker 2: to how they protect your data. But the idea is 133 00:06:04,200 --> 00:06:08,920 Speaker 2: that you wear a pin or jewelry that is capturing 134 00:06:08,960 --> 00:06:11,800 Speaker 2: your audio throughout the day and it will send you 135 00:06:11,880 --> 00:06:16,240 Speaker 2: summaries AI summaries and transcripts and to do lists and 136 00:06:16,360 --> 00:06:19,880 Speaker 2: reminders and insights into your change my. 137 00:06:19,920 --> 00:06:22,359 Speaker 1: Mind, that sounds something like that. I don't want that. 138 00:06:22,480 --> 00:06:24,760 Speaker 2: Well for those who want to stay more organized, Like 139 00:06:24,839 --> 00:06:27,880 Speaker 2: I had a coffee with somebody and then afterwards he 140 00:06:28,040 --> 00:06:31,479 Speaker 2: sent me what the aipin sent him and it was 141 00:06:31,520 --> 00:06:34,960 Speaker 2: like Mark, don't forget. Mark asked for a follow up 142 00:06:35,040 --> 00:06:37,839 Speaker 2: in a couple of weeks with you know, he invited 143 00:06:37,839 --> 00:06:40,640 Speaker 2: you to be on the radio show. So that's kind 144 00:06:40,680 --> 00:06:43,280 Speaker 2: of neat if you need a little help with organizations, 145 00:06:43,360 --> 00:06:45,520 Speaker 2: kind of like having an EA walking around with you. 146 00:06:46,080 --> 00:06:49,320 Speaker 2: One product is called the Plod notepin s. It's one 147 00:06:49,360 --> 00:06:51,400 Speaker 2: hundred and seventy nine bucks. You can pre order now. 148 00:06:51,480 --> 00:06:53,520 Speaker 2: You can wear it as a wristband or clip to 149 00:06:53,560 --> 00:06:56,880 Speaker 2: your collar or on a necklace lanyard and it does 150 00:06:56,920 --> 00:06:59,240 Speaker 2: capture all that all day. Another one looks more like 151 00:06:59,560 --> 00:07:02,680 Speaker 2: jewelry and it's called Nerva n I r VA and 152 00:07:03,040 --> 00:07:05,840 Speaker 2: again they call it audio journaling, where it'll give you 153 00:07:05,920 --> 00:07:11,600 Speaker 2: advice on work relationships and everyday decision making that you 154 00:07:11,600 --> 00:07:13,680 Speaker 2: know that you may need help with. It can tell 155 00:07:13,680 --> 00:07:16,760 Speaker 2: you when your stress levels seem elevated based on your tone, 156 00:07:16,840 --> 00:07:20,960 Speaker 2: your language. It'll tell you that you're not moving enough, 157 00:07:21,040 --> 00:07:23,120 Speaker 2: which your Apple watch will do as well. It'll tell 158 00:07:23,160 --> 00:07:25,880 Speaker 2: you to get off your button. Move. So, I mean, 159 00:07:25,920 --> 00:07:29,680 Speaker 2: there's some interesting applications for having AI. You know, it's 160 00:07:29,680 --> 00:07:32,240 Speaker 2: not a body cam, it's not a camera, it's audio. 161 00:07:32,440 --> 00:07:35,600 Speaker 2: But there's still some privacy concerns I get, but I 162 00:07:35,640 --> 00:07:37,360 Speaker 2: expect this to be a bigger deal, whether it's in 163 00:07:37,400 --> 00:07:40,600 Speaker 2: your glasses and your you know, on your wrist. I 164 00:07:40,600 --> 00:07:46,560 Speaker 2: think wearables are are going to augment the smartphone without question. No, 165 00:07:46,600 --> 00:07:47,920 Speaker 2: you're not buying it, Okay. 166 00:07:47,680 --> 00:07:51,840 Speaker 1: I'm exhausted by hearing what the AI assistants going to 167 00:07:51,840 --> 00:07:54,200 Speaker 1: bombard me with at the end of my day. I 168 00:07:54,240 --> 00:07:56,840 Speaker 1: feel like, if you're not an organized person I'm looking 169 00:07:56,920 --> 00:08:01,040 Speaker 1: at the mirror, then you have no trist truly and 170 00:08:01,160 --> 00:08:02,320 Speaker 1: being an organized person. 171 00:08:02,400 --> 00:08:04,280 Speaker 2: Oh that's a really good point. Yeah, and I also 172 00:08:04,400 --> 00:08:04,880 Speaker 2: just worry. 173 00:08:05,120 --> 00:08:08,000 Speaker 3: Obviously there's the privacy concerns, not necessarily that that's new, 174 00:08:08,600 --> 00:08:12,440 Speaker 3: but it does feel like if it also is listening 175 00:08:12,480 --> 00:08:15,680 Speaker 3: and interpreting things incorrectly, like I won't know that it 176 00:08:15,760 --> 00:08:18,000 Speaker 3: is wrong because I am so all over the place 177 00:08:18,200 --> 00:08:20,600 Speaker 3: that'd be like, oh, well, it said Shannon was gonna 178 00:08:20,760 --> 00:08:23,080 Speaker 3: invite me to her house right and show. 179 00:08:22,920 --> 00:08:24,320 Speaker 2: Up at night? Right? 180 00:08:24,480 --> 00:08:25,920 Speaker 1: And I'm like, what are you doing here? 181 00:08:25,960 --> 00:08:26,520 Speaker 2: And I'm doing here? 182 00:08:26,560 --> 00:08:29,520 Speaker 1: Well, my AI and I actually said never come to 183 00:08:29,560 --> 00:08:30,880 Speaker 1: my house right exactly? 184 00:08:31,200 --> 00:08:33,920 Speaker 2: Which how would I do? It's said ten pm booty 185 00:08:33,920 --> 00:08:37,280 Speaker 2: call right on my app. I don't get it. No, 186 00:08:37,400 --> 00:08:39,480 Speaker 2: so what it'll do? I know we're going to wrap up, 187 00:08:39,520 --> 00:08:42,240 Speaker 2: but with plot at least this company Plot P L 188 00:08:42,280 --> 00:08:44,800 Speaker 2: a U D. When it does send you an itemized 189 00:08:44,840 --> 00:08:47,679 Speaker 2: reminder or to do list, there's a little footnote that 190 00:08:47,720 --> 00:08:50,320 Speaker 2: you can tap on the app and it'll play the 191 00:08:50,400 --> 00:08:53,360 Speaker 2: audio clip associated with it, so you can determine if 192 00:08:53,440 --> 00:08:56,200 Speaker 2: Shannon really meant to come over or she was just 193 00:08:56,320 --> 00:08:56,959 Speaker 2: joking around. 194 00:08:57,640 --> 00:09:00,480 Speaker 1: I would never say booty call, that's how now sorry? 195 00:09:00,520 --> 00:09:02,840 Speaker 2: Yeah. Also, I want to make sure I wasn't implying that, 196 00:09:03,000 --> 00:09:03,280 Speaker 2: you know. 197 00:09:04,480 --> 00:09:06,160 Speaker 1: Come over, were like fun or something. 198 00:09:06,200 --> 00:09:10,280 Speaker 2: Yeah, I brought some fun. Okay, some fun fun that 199 00:09:10,400 --> 00:09:11,360 Speaker 2: sounds lovely. 200 00:09:11,120 --> 00:09:15,839 Speaker 1: Mark Mark Saltzman, good luck, Braving snow, but you're used 201 00:09:15,840 --> 00:09:18,280 Speaker 1: to it. You're Canadian. This is what you were built for. Yeah, 202 00:09:18,520 --> 00:09:19,600 Speaker 1: they want you on that wall. 203 00:09:19,960 --> 00:09:21,360 Speaker 2: That's a that's a boot right. Yeah,