1 00:00:04,080 --> 00:00:07,440 Speaker 1: Here's a twenty twenty four highlight from Elvis Duran in 2 00:00:07,480 --> 00:00:08,319 Speaker 1: the Morning show. 3 00:00:08,680 --> 00:00:12,400 Speaker 2: You Know AI, you know is a love all, serve 4 00:00:12,480 --> 00:00:16,000 Speaker 2: all and also a I don't trust it, you know, 5 00:00:16,400 --> 00:00:20,119 Speaker 2: medium or place to go for answers and all sorts 6 00:00:20,120 --> 00:00:20,400 Speaker 2: of things. 7 00:00:20,480 --> 00:00:21,640 Speaker 3: AI can do anything. 8 00:00:22,120 --> 00:00:22,600 Speaker 4: Yeah. 9 00:00:22,640 --> 00:00:25,360 Speaker 2: The question is if you ask it for facts, and 10 00:00:25,400 --> 00:00:27,440 Speaker 2: you ask it to be factual, you don't always know 11 00:00:27,520 --> 00:00:31,520 Speaker 2: if it's factual if you're looking for specific answers for questions, 12 00:00:32,640 --> 00:00:34,720 Speaker 2: but also if you need for it to write you 13 00:00:34,760 --> 00:00:38,680 Speaker 2: a letter or be your friend or tell you where 14 00:00:38,680 --> 00:00:43,320 Speaker 2: to go on vacation. It'll weigh out all the components 15 00:00:43,360 --> 00:00:46,760 Speaker 2: of your thought process. It'll say, Okay, well, according to 16 00:00:46,800 --> 00:00:49,280 Speaker 2: AI's knowledge, we will tell you to do this. For instance, 17 00:00:49,440 --> 00:00:52,479 Speaker 2: scary scary? What did you ask AI to answer for 18 00:00:52,560 --> 00:00:53,160 Speaker 2: you the other day? 19 00:00:54,080 --> 00:00:56,680 Speaker 4: Well, with a week off coming up at the end 20 00:00:56,680 --> 00:00:58,960 Speaker 4: of August, I want a place to go in the 21 00:00:59,080 --> 00:01:02,920 Speaker 4: United States that is has like some good rental a 22 00:01:03,040 --> 00:01:06,640 Speaker 4: rental houses with a pool and a barbecue, with some 23 00:01:06,760 --> 00:01:09,720 Speaker 4: great nightlife as well. And being a foodie, I want 24 00:01:09,760 --> 00:01:12,560 Speaker 4: awesome restaurants. And I'm going with a couple of friends 25 00:01:12,560 --> 00:01:14,200 Speaker 4: of mine, a couple of guy friends. 26 00:01:14,240 --> 00:01:16,280 Speaker 3: So are all the factors you put in there? 27 00:01:16,400 --> 00:01:18,480 Speaker 5: Yeah, I just I just opened up a conversation. 28 00:01:18,600 --> 00:01:19,840 Speaker 4: I said, all right, so me and a couple of 29 00:01:19,920 --> 00:01:21,680 Speaker 4: my friends want to go out and hang out during 30 00:01:21,720 --> 00:01:24,080 Speaker 4: the last week of August the United States. Where can 31 00:01:24,160 --> 00:01:27,360 Speaker 4: we go that has these parameters? And then it's just 32 00:01:27,440 --> 00:01:31,039 Speaker 4: started spitting out some amazing ideas that I never would 33 00:01:31,040 --> 00:01:32,000 Speaker 4: have thought of on my own. 34 00:01:33,360 --> 00:01:35,039 Speaker 3: Okay, what did it tell you? 35 00:01:35,160 --> 00:01:38,120 Speaker 4: It said, Okay, what about Charleston, South Carolina. It has 36 00:01:38,160 --> 00:01:41,440 Speaker 4: beautiful beaches, a vibrant nightlife, and plenty of options for 37 00:01:41,840 --> 00:01:45,480 Speaker 4: renting houses with pools and barbecues. Another great option is 38 00:01:45,480 --> 00:01:49,040 Speaker 4: Santa Barbara, California, which are And then then it started 39 00:01:49,080 --> 00:01:52,080 Speaker 4: talking about going to Huntington Beach, lagoona Beach, and I'm like, wow, 40 00:01:52,160 --> 00:01:55,360 Speaker 4: I never thought of like that area of California to 41 00:01:55,440 --> 00:01:57,880 Speaker 4: go to. And then it said, why don't you go 42 00:01:57,920 --> 00:02:01,160 Speaker 4: to the Flora Bama Shore you know, you know, you 43 00:02:01,200 --> 00:02:03,320 Speaker 4: know where Destin is And they said, there's a road 44 00:02:03,360 --> 00:02:07,240 Speaker 4: called thirty A where all these houses are. And then yeah, 45 00:02:07,280 --> 00:02:09,840 Speaker 4: so it started telling me all this stuff and places 46 00:02:09,880 --> 00:02:11,600 Speaker 4: in the United States and in then I'm like wow, 47 00:02:11,600 --> 00:02:13,680 Speaker 4: and it started showing me pictures and videos and here's 48 00:02:13,720 --> 00:02:16,800 Speaker 4: here's a link to some video and pictures of what 49 00:02:16,840 --> 00:02:19,639 Speaker 4: these areas look like. And these are areas in the country. 50 00:02:19,840 --> 00:02:20,880 Speaker 4: I never would have thought of. 51 00:02:23,360 --> 00:02:31,239 Speaker 1: Those areas to my god and the Oca Beach, But 52 00:02:31,320 --> 00:02:31,600 Speaker 1: I know. 53 00:02:31,520 --> 00:02:33,320 Speaker 5: What, I wouldn't have thought of that, and I had 54 00:02:33,360 --> 00:02:34,600 Speaker 5: him be my brain in that case. 55 00:02:34,639 --> 00:02:36,320 Speaker 3: Yeah, I will tell you something. 56 00:02:36,760 --> 00:02:39,280 Speaker 2: Maybe we talked about this before, but we were When 57 00:02:39,280 --> 00:02:44,280 Speaker 2: we were in Bali, Alex wanted to write a He 58 00:02:44,360 --> 00:02:47,239 Speaker 2: wanted to write an opinion of what is a review? 59 00:02:47,320 --> 00:02:49,640 Speaker 2: Sorry God, I'm sorry, I'm brain dead. He wanted to 60 00:02:49,639 --> 00:02:51,960 Speaker 2: write a review about this incredible resort we stayed in, 61 00:02:52,320 --> 00:02:54,920 Speaker 2: and so he used Ai to write it. He submitted 62 00:02:54,960 --> 00:02:58,800 Speaker 2: it and there a I didn't accept it because they 63 00:02:58,800 --> 00:03:00,400 Speaker 2: could tell it was AI written. 64 00:03:00,440 --> 00:03:01,240 Speaker 3: Does that make sense? 65 00:03:01,960 --> 00:03:02,920 Speaker 5: They wanted to not good? 66 00:03:03,440 --> 00:03:07,760 Speaker 2: I know, but we're freaking out the Ais are they're 67 00:03:07,760 --> 00:03:09,000 Speaker 2: battling the other Ais. 68 00:03:10,360 --> 00:03:11,359 Speaker 3: I know, I call them Ais. 69 00:03:11,360 --> 00:03:13,000 Speaker 2: I don't know if that's appropriate WA to call it, 70 00:03:13,040 --> 00:03:15,840 Speaker 2: but I thought that was sort of odd. So he 71 00:03:15,960 --> 00:03:18,160 Speaker 2: tried to reword it, and I think it accepted it 72 00:03:18,200 --> 00:03:20,720 Speaker 2: at that point. I think, I don't know, so weird. 73 00:03:21,360 --> 00:03:22,720 Speaker 5: Somebody were schools. 74 00:03:22,360 --> 00:03:25,200 Speaker 1: Too, you know, because like some kids are using AI 75 00:03:25,320 --> 00:03:27,799 Speaker 1: to write their reports and write this and do this 76 00:03:27,919 --> 00:03:29,880 Speaker 1: and research that they should be doing on their own, 77 00:03:29,919 --> 00:03:32,400 Speaker 1: and it's causing some issues, and teachers are trying to 78 00:03:32,400 --> 00:03:34,079 Speaker 1: figure out, you know, how to bust more of them. 79 00:03:34,080 --> 00:03:36,520 Speaker 1: Some of them have been busted, but sometimes I guess 80 00:03:36,560 --> 00:03:37,440 Speaker 1: they get away with it. 81 00:03:37,800 --> 00:03:38,680 Speaker 3: Okay, let me let me. 82 00:03:38,640 --> 00:03:41,360 Speaker 2: Put this out there for you. In the old days, 83 00:03:41,400 --> 00:03:43,800 Speaker 2: when you took math classes, you would go to whatever 84 00:03:43,880 --> 00:03:48,400 Speaker 2: calculus or whatever, and you were if you were taking tests, especially, 85 00:03:48,400 --> 00:03:52,720 Speaker 2: you were sometimes allowed to use a calculator, sometimes not right. 86 00:03:53,560 --> 00:03:57,000 Speaker 2: And then they started saying, okay, calculators, absolutely, it's a 87 00:03:57,040 --> 00:03:58,560 Speaker 2: way of life. Why would we not allow you to 88 00:03:58,600 --> 00:04:02,600 Speaker 2: bring those in for testing? Then later on they were 89 00:04:02,600 --> 00:04:05,600 Speaker 2: doing tests and they said, well, you can use your 90 00:04:05,640 --> 00:04:07,760 Speaker 2: even go online. We'll let you go online and do 91 00:04:07,840 --> 00:04:11,080 Speaker 2: searches while you're taking the test, because they're testing to 92 00:04:11,080 --> 00:04:13,600 Speaker 2: see if you know how to be resourceful to find 93 00:04:13,600 --> 00:04:16,719 Speaker 2: the answers online. Because that's the world we live in now. 94 00:04:17,360 --> 00:04:19,680 Speaker 2: We live in a we live in a Google world 95 00:04:19,720 --> 00:04:24,000 Speaker 2: where what eighty eight point five billion searches are done 96 00:04:24,000 --> 00:04:27,080 Speaker 2: per day on Google? Why would we discount that as 97 00:04:27,120 --> 00:04:30,000 Speaker 2: a way to answer in testing, because that's how we 98 00:04:30,040 --> 00:04:32,760 Speaker 2: live our lives. So AI, why would we not let 99 00:04:32,760 --> 00:04:36,400 Speaker 2: them help us write things. I disagree with it. I 100 00:04:36,400 --> 00:04:37,640 Speaker 2: think you should be able to write. 101 00:04:37,720 --> 00:04:40,120 Speaker 1: But yeah, I feel like it takes away from like 102 00:04:40,200 --> 00:04:42,360 Speaker 1: so much when it comes to the kids, especially like 103 00:04:42,560 --> 00:04:44,640 Speaker 1: you're learning in school. You're supposed to learn how to 104 00:04:44,880 --> 00:04:48,080 Speaker 1: do all these things and write and express your opinion. 105 00:04:48,160 --> 00:04:50,240 Speaker 1: And I think a lot of this stuff takes it 106 00:04:50,279 --> 00:04:52,680 Speaker 1: away from you because then you agree like an idiot. 107 00:04:52,760 --> 00:04:54,440 Speaker 3: I do agree. What about you, Kandi? What do you think? 108 00:04:55,080 --> 00:04:57,280 Speaker 6: I think I understand the need for it, and I 109 00:04:57,320 --> 00:04:59,440 Speaker 6: think it's important. It's probably going to do really great things. 110 00:04:59,440 --> 00:05:00,000 Speaker 5: It already has. 111 00:05:00,080 --> 00:05:03,800 Speaker 6: As however, as we experience with that CrowdStrike issue the 112 00:05:03,839 --> 00:05:06,240 Speaker 6: other day, if everything goes offline and everything goes down, 113 00:05:06,600 --> 00:05:09,799 Speaker 6: what are we left with? And I think it's pretty 114 00:05:09,800 --> 00:05:12,839 Speaker 6: fascinating how with all of this knowledge at our fingertips, 115 00:05:12,839 --> 00:05:16,520 Speaker 6: people seem to retain a lot less because we just 116 00:05:16,560 --> 00:05:18,279 Speaker 6: rely on everything all the time to tell us what 117 00:05:18,320 --> 00:05:20,680 Speaker 6: to do, where to go, how to operate, and if 118 00:05:21,040 --> 00:05:23,160 Speaker 6: the power grid goes down or the clouds go out, 119 00:05:23,200 --> 00:05:25,800 Speaker 6: whatever it is, we're gonna have a problem. So I 120 00:05:25,839 --> 00:05:28,920 Speaker 6: think that we should be more conscious of how often 121 00:05:28,960 --> 00:05:31,359 Speaker 6: we lean on these things and in which ways we 122 00:05:31,480 --> 00:05:32,400 Speaker 6: lean on these things. 123 00:05:32,520 --> 00:05:33,640 Speaker 3: Wow, very good point. 124 00:05:33,800 --> 00:05:35,440 Speaker 2: So if you're doing something like scary, is doing it 125 00:05:35,520 --> 00:05:41,200 Speaker 2: looking for looking for thoughtful advice in an opinion, that's 126 00:05:41,279 --> 00:05:43,880 Speaker 2: one thing. But for facts, we should be able to 127 00:05:43,920 --> 00:05:46,720 Speaker 2: get to fact trade ourselves. I'll tell you this. Years ago, 128 00:05:47,080 --> 00:05:50,960 Speaker 2: I took boating pilot licensing classes for boating. 129 00:05:51,200 --> 00:05:53,000 Speaker 3: Oh wow, hear me ask long story. 130 00:05:53,920 --> 00:05:56,599 Speaker 2: And look, you know, if you're out of the ocean 131 00:05:56,640 --> 00:05:59,040 Speaker 2: in a boat, you have all this technology that can 132 00:05:59,080 --> 00:06:00,760 Speaker 2: get you exactly where you want to go. As a 133 00:06:00,760 --> 00:06:02,600 Speaker 2: matter of fact, it's set up to drive the boat 134 00:06:02,680 --> 00:06:07,280 Speaker 2: for you using all satellite work and you know everything else, 135 00:06:07,320 --> 00:06:11,240 Speaker 2: mapping everything. But what happens if you're in the middle 136 00:06:11,279 --> 00:06:14,720 Speaker 2: of the ocean and you're lost and you don't have 137 00:06:14,800 --> 00:06:18,080 Speaker 2: satellite All of a sudden, they taught us how to 138 00:06:18,160 --> 00:06:21,279 Speaker 2: use the stars at night to navigate to get back 139 00:06:21,320 --> 00:06:26,560 Speaker 2: to shore. And it is amazing, and it was mind 140 00:06:26,600 --> 00:06:28,560 Speaker 2: boggling for me. I mean, it took a lot for 141 00:06:28,600 --> 00:06:31,479 Speaker 2: me to wrap my head around it. I mean, but 142 00:06:31,720 --> 00:06:34,480 Speaker 2: I can see how necessary it is. Let's say you're 143 00:06:34,520 --> 00:06:35,920 Speaker 2: out there on a ship. I'm not going to use 144 00:06:35,920 --> 00:06:39,240 Speaker 2: any particular ship brand whatever, And all of a sudden, 145 00:06:39,279 --> 00:06:43,160 Speaker 2: all of their all of their satellite imaging and satellite 146 00:06:43,920 --> 00:06:45,400 Speaker 2: mapping goes out. 147 00:06:45,680 --> 00:06:47,960 Speaker 3: What are they supposed to do? You know what I'm saying, 148 00:06:49,120 --> 00:06:51,240 Speaker 3: Someone on board has to know how to navigate the 149 00:06:51,240 --> 00:06:53,760 Speaker 3: stars to get you to safety. Yeah. Well so the 150 00:06:53,800 --> 00:06:54,640 Speaker 3: same thing with AI. 151 00:06:54,720 --> 00:06:57,559 Speaker 2: Depending on that to do anything, Like, if you depend 152 00:06:57,760 --> 00:07:01,159 Speaker 2: on it to do everything, you could pretty much messed up, 153 00:07:01,160 --> 00:07:01,640 Speaker 2: don't you think? 154 00:07:01,720 --> 00:07:02,200 Speaker 3: Yeah? 155 00:07:02,240 --> 00:07:04,520 Speaker 6: I mean even so, I was working with my bank 156 00:07:04,560 --> 00:07:06,919 Speaker 6: about something and they said, sorry, we can't really do 157 00:07:06,960 --> 00:07:09,920 Speaker 6: anything today because all of our systems went down because 158 00:07:09,960 --> 00:07:11,840 Speaker 6: of the CrowdStrike issue. And I thought, what do you 159 00:07:11,880 --> 00:07:13,880 Speaker 6: mean you can't do anything. You used to be able 160 00:07:13,880 --> 00:07:15,560 Speaker 6: to do everything. You can't just go back to the 161 00:07:15,600 --> 00:07:17,120 Speaker 6: way that you used to do it. Okay, fine, I 162 00:07:17,120 --> 00:07:21,040 Speaker 6: guess we're just all paralyzed at this moment because we've 163 00:07:21,040 --> 00:07:24,400 Speaker 6: completely relied on these pieces of technology that might not 164 00:07:24,440 --> 00:07:26,360 Speaker 6: always be super reliable. 165 00:07:26,600 --> 00:07:28,960 Speaker 2: Exactly, and go back to what Scary was saying. Looking 166 00:07:29,000 --> 00:07:31,520 Speaker 2: for a place to vacation, he put on all the 167 00:07:31,600 --> 00:07:35,080 Speaker 2: data that was important to him and it sped out 168 00:07:36,040 --> 00:07:39,240 Speaker 2: Santa Barbara. It's spent out all these different locations in 169 00:07:39,280 --> 00:07:43,280 Speaker 2: Orange County, and it also spit out in Charleston. It 170 00:07:43,320 --> 00:07:45,080 Speaker 2: also spit out Floriabama Shores. 171 00:07:45,280 --> 00:07:47,120 Speaker 3: All right. Now, A few. 172 00:07:47,040 --> 00:07:49,720 Speaker 2: People snickered when they heard that, because you've seen the show. 173 00:07:50,120 --> 00:07:52,920 Speaker 2: I'll tell you Destin Florida has always had the most 174 00:07:52,960 --> 00:07:54,280 Speaker 2: beautiful beaches in America. 175 00:07:54,760 --> 00:07:55,720 Speaker 3: It has always has. 176 00:07:56,200 --> 00:08:00,720 Speaker 2: And Gulf Shores, Alabama beautiful place that we may not 177 00:08:00,840 --> 00:08:03,080 Speaker 2: consider because we just don't know a lot about it 178 00:08:03,280 --> 00:08:04,239 Speaker 2: if you're not from that area. 179 00:08:04,400 --> 00:08:05,880 Speaker 5: And they give you another example. 180 00:08:06,360 --> 00:08:08,240 Speaker 4: About a month and a half ago, I was having 181 00:08:08,240 --> 00:08:10,160 Speaker 4: a family reunion with a couple of people we haven't 182 00:08:10,160 --> 00:08:12,040 Speaker 4: seen before. My uncle and my aunt and along with 183 00:08:12,120 --> 00:08:14,760 Speaker 4: my dad and my sister, and all these personalities were involved. 184 00:08:15,080 --> 00:08:18,200 Speaker 4: So I started saying, Hey, my dad is a fussy 185 00:08:18,280 --> 00:08:21,360 Speaker 4: Italian guy who likes this kind of food. My aunt 186 00:08:21,400 --> 00:08:23,640 Speaker 4: and uncle are a little upscale. They want that where 187 00:08:23,640 --> 00:08:26,360 Speaker 4: can we meet somewhere in North Jersey or Manhattan. And 188 00:08:26,400 --> 00:08:29,080 Speaker 4: it spit out four restaurants for us to have a 189 00:08:29,080 --> 00:08:31,520 Speaker 4: great family dinner at that I never would have thought of, 190 00:08:31,720 --> 00:08:35,240 Speaker 4: And we ended up at the High Long in West Orange, 191 00:08:35,280 --> 00:08:37,680 Speaker 4: New Jersey, and I would never have thought to go here, 192 00:08:37,880 --> 00:08:40,760 Speaker 4: but I know the restaurant, but my first personal brain 193 00:08:41,280 --> 00:08:42,960 Speaker 4: wouldn't have thought of that, but a I did. 194 00:08:43,880 --> 00:08:45,319 Speaker 3: Well, I know Highlan used to be a place where 195 00:08:45,360 --> 00:08:45,880 Speaker 3: old people went. 196 00:08:47,200 --> 00:08:47,640 Speaker 5: They still do. 197 00:08:47,840 --> 00:08:49,720 Speaker 2: I mean the beautiful view of the city and everything, 198 00:08:49,720 --> 00:08:51,520 Speaker 2: but now no, it's a whole different chef hold in 199 00:08:51,520 --> 00:08:53,360 Speaker 2: the kitchen, it's a beautiful place. 200 00:08:53,440 --> 00:08:54,719 Speaker 3: Yeah, Danielle, what's up? 201 00:08:54,920 --> 00:08:57,200 Speaker 1: It would be nice if we could figure out a 202 00:08:57,200 --> 00:08:59,800 Speaker 1: way to use it for like what's scary was saying, 203 00:08:59,800 --> 00:09:02,200 Speaker 1: for those types of things, but then like keep it 204 00:09:02,240 --> 00:09:05,320 Speaker 1: away from things like replacing teachers one day, because I 205 00:09:05,440 --> 00:09:07,559 Speaker 1: look at it like, oh my gosh, one day, if 206 00:09:07,559 --> 00:09:10,080 Speaker 1: we can just a I can just teach the kids. 207 00:09:10,440 --> 00:09:13,600 Speaker 1: You could say math, lesson on geometry, blah blah blah 208 00:09:13,600 --> 00:09:15,720 Speaker 1: blah blah. You plug it in and the whole freakin' 209 00:09:15,800 --> 00:09:17,760 Speaker 1: lesson will come up and the kids will be taught 210 00:09:17,840 --> 00:09:21,440 Speaker 1: like that. Like stuff like that scares me. Replacing people 211 00:09:21,440 --> 00:09:23,680 Speaker 1: and I know, you know, replacing in our industry, stuff 212 00:09:23,679 --> 00:09:25,640 Speaker 1: like that. If there was a way to use it 213 00:09:25,679 --> 00:09:28,000 Speaker 1: for the good and keep it away from the bad, 214 00:09:28,160 --> 00:09:30,160 Speaker 1: But I don't know if that good luck for that? 215 00:09:30,360 --> 00:09:32,400 Speaker 6: You know, remember a couple months ago we were talking 216 00:09:32,400 --> 00:09:35,240 Speaker 6: about this when Google first rolled out the Hey Ask 217 00:09:35,240 --> 00:09:37,920 Speaker 6: Ai anything. People were asking AI questions and it was 218 00:09:37,960 --> 00:09:40,000 Speaker 6: giving them answers like put glue on your pizza. 219 00:09:40,000 --> 00:09:40,840 Speaker 3: Swallow glass. 220 00:09:41,080 --> 00:09:43,000 Speaker 6: So, if it really is like pulling from all of 221 00:09:43,040 --> 00:09:45,920 Speaker 6: these different sources, you have to be really careful with 222 00:09:45,920 --> 00:09:48,920 Speaker 6: where it's getting information. And I hope it doesn't replace teachers. 223 00:09:49,120 --> 00:09:49,680 Speaker 3: I hope. 224 00:09:50,240 --> 00:09:52,480 Speaker 2: And at what point, you know, who's going to be 225 00:09:52,520 --> 00:09:57,160 Speaker 2: feeding the answers on AI to us? They tell us 226 00:09:57,200 --> 00:10:00,959 Speaker 2: how to feel about things and how to vote about things, 227 00:10:01,280 --> 00:10:03,920 Speaker 2: and you know, so who's going to be under that control? 228 00:10:04,280 --> 00:10:06,480 Speaker 2: You can see this thing becoming a very very mad, 229 00:10:06,559 --> 00:10:07,560 Speaker 2: mad mad situation. 230 00:10:07,960 --> 00:10:08,400 Speaker 3: A lot of. 231 00:10:08,320 --> 00:10:11,640 Speaker 2: Texts coming in. What about people who don't know how 232 00:10:11,679 --> 00:10:14,040 Speaker 2: to sign their own name? Is AI going to do 233 00:10:14,080 --> 00:10:17,400 Speaker 2: that for him? Uh? Look at some of these texts, 234 00:10:18,760 --> 00:10:21,600 Speaker 2: Oh my gosh. People are very People are not, as 235 00:10:21,640 --> 00:10:25,880 Speaker 2: a consistent consensus, not very trusting of AI quite yet 236 00:10:25,920 --> 00:10:26,559 Speaker 2: when it comes to. 237 00:10:26,520 --> 00:10:30,080 Speaker 3: The important issues, right, definitely not putting glue in your pizza, 238 00:10:30,240 --> 00:10:32,040 Speaker 3: swallowing glass. No, maybe not. 239 00:10:33,480 --> 00:10:35,760 Speaker 6: I also think hopefully the AI will start doing this, 240 00:10:35,800 --> 00:10:37,920 Speaker 6: and it looks like it already is Elvis based on 241 00:10:37,960 --> 00:10:39,680 Speaker 6: what you said about Alex trying to write a review, 242 00:10:40,160 --> 00:10:43,520 Speaker 6: maybe they'll roll out away that it secretly like not 243 00:10:43,559 --> 00:10:47,120 Speaker 6: necessarily watermarks, but has a digital watermark, so it says 244 00:10:47,240 --> 00:10:50,000 Speaker 6: this was created by AI so people can weed through 245 00:10:50,160 --> 00:10:53,160 Speaker 6: was this actually information that came from a human or 246 00:10:53,320 --> 00:10:54,600 Speaker 6: was it created by a. 247 00:10:54,559 --> 00:10:55,319 Speaker 3: Bot of some sort. 248 00:10:55,360 --> 00:10:57,840 Speaker 2: Well, that's what we need and not. Another reason why 249 00:10:58,000 --> 00:11:01,440 Speaker 2: is when you see a video of me having sex 250 00:11:01,480 --> 00:11:08,559 Speaker 2: with someone else that didn't happen. I wouldn't wish that 251 00:11:08,600 --> 00:11:11,000 Speaker 2: all my worst enemy, by the way, but there's got 252 00:11:11,040 --> 00:11:13,040 Speaker 2: to be a way for it always to be detected 253 00:11:13,080 --> 00:11:15,880 Speaker 2: as AI, because you're going to have all sorts of 254 00:11:15,920 --> 00:11:20,440 Speaker 2: problems with people not only in voice, but on camera 255 00:11:20,920 --> 00:11:24,080 Speaker 2: telling you something that is something they would never say 256 00:11:24,160 --> 00:11:27,520 Speaker 2: ever on camera or off camera. And so yeah, we 257 00:11:27,559 --> 00:11:29,240 Speaker 2: need to have a watermark to know if it is 258 00:11:29,320 --> 00:11:31,680 Speaker 2: AI or not without doubt. 259 00:11:32,040 --> 00:11:34,760 Speaker 6: I think too that the more we start relying on 260 00:11:34,800 --> 00:11:36,880 Speaker 6: it and it starts to replace humans, I would be 261 00:11:37,040 --> 00:11:40,560 Speaker 6: very interested to see how that changes people's mental health 262 00:11:40,559 --> 00:11:44,040 Speaker 6: and depression rates, because we know so much that interaction 263 00:11:44,120 --> 00:11:47,400 Speaker 6: with other humans is essential to our well being and 264 00:11:47,440 --> 00:11:49,840 Speaker 6: feeling good and smiling, and if you just take all 265 00:11:49,880 --> 00:11:52,400 Speaker 6: of that away completely. What does that leave you with? 266 00:11:52,840 --> 00:11:55,600 Speaker 6: Just sad sitting in your house talking to a who 267 00:11:55,720 --> 00:11:56,880 Speaker 6: that doesn't seem like a good life. 268 00:11:57,160 --> 00:11:58,000 Speaker 3: Yeah, we all know that. 269 00:11:58,360 --> 00:12:00,160 Speaker 1: The future really does scare me a little bit with 270 00:12:00,200 --> 00:12:00,800 Speaker 1: things like that. 271 00:12:01,200 --> 00:12:03,600 Speaker 2: Well, yeah, me too. I mean, if you can use 272 00:12:03,600 --> 00:12:05,960 Speaker 2: it for things and harness it correctly, you're good. But 273 00:12:06,000 --> 00:12:07,600 Speaker 2: who is to judge what is correct? 274 00:12:07,640 --> 00:12:07,840 Speaker 3: You know? 275 00:12:07,920 --> 00:12:10,240 Speaker 1: And you know there's always that one person out there 276 00:12:10,240 --> 00:12:11,880 Speaker 1: that's going to harness it for the wrong reason. 277 00:12:14,040 --> 00:12:16,400 Speaker 2: Yeah, well this is yeah, this is opportunity for people 278 00:12:16,440 --> 00:12:18,720 Speaker 2: like that. Then you know how many people are out 279 00:12:18,720 --> 00:12:20,319 Speaker 2: there trying to harness it for the good? You know, 280 00:12:20,360 --> 00:12:24,440 Speaker 2: I'd like to know that list. Also, back to what 281 00:12:24,480 --> 00:12:28,360 Speaker 2: you're saying, God, loneliness is a huge, huge killer in America, 282 00:12:28,679 --> 00:12:31,920 Speaker 2: and it's making people fall sick more and more every day. 283 00:12:32,480 --> 00:12:33,000 Speaker 3: Does AI? 284 00:12:33,280 --> 00:12:38,760 Speaker 2: Is AI ever going to be a replacement for a true, living, 285 00:12:38,840 --> 00:12:40,080 Speaker 2: breathing human being? 286 00:12:40,280 --> 00:12:42,240 Speaker 5: So no way, Remember what God? 287 00:12:42,520 --> 00:12:45,440 Speaker 3: I vote? I vote not. What's that dam about. 288 00:12:45,240 --> 00:12:47,800 Speaker 1: That necklace that that they're creating where it's like a 289 00:12:47,840 --> 00:12:50,240 Speaker 1: person like that will be with you always and keep 290 00:12:50,280 --> 00:12:53,320 Speaker 1: you like, you know, keep you, you know, not being lonely. 291 00:12:53,400 --> 00:12:55,920 Speaker 1: I mean maybe things like that will counter you know, 292 00:12:56,080 --> 00:12:56,400 Speaker 1: but it. 293 00:12:56,360 --> 00:12:59,000 Speaker 6: Can't hug you, and you know it's fake true. And 294 00:12:59,040 --> 00:13:01,280 Speaker 6: if the butter goes down, your friend dies. 295 00:13:01,720 --> 00:13:03,520 Speaker 1: I guess, Oh gosh, don't say that. Don't say that. 296 00:13:05,360 --> 00:13:08,040 Speaker 3: Yeah, you know, digital friend Toma got cheek goodbye. 297 00:13:08,280 --> 00:13:08,480 Speaker 4: Yeah. 298 00:13:10,080 --> 00:13:12,199 Speaker 3: Scary was talking about these these new. 299 00:13:12,320 --> 00:13:14,360 Speaker 2: Robots that can give you a massage, and I saw 300 00:13:14,400 --> 00:13:16,440 Speaker 2: a video of that the other day and it looks 301 00:13:16,480 --> 00:13:17,760 Speaker 2: like the worst massage ever. 302 00:13:18,200 --> 00:13:21,679 Speaker 5: Oh, it was like these that these big posts coming down, 303 00:13:21,760 --> 00:13:22,679 Speaker 5: ring ring ring ring me. 304 00:13:22,840 --> 00:13:24,040 Speaker 3: I'm like, that's not a human. 305 00:13:25,000 --> 00:13:28,199 Speaker 2: Human massage is so so important, that connectivity between two 306 00:13:29,000 --> 00:13:31,199 Speaker 2: human beings is a very important part of that. 307 00:13:31,600 --> 00:13:33,959 Speaker 6: And also, don't forget what happened to that factory where 308 00:13:34,000 --> 00:13:37,280 Speaker 6: the robot thought the person was an error and picked 309 00:13:37,320 --> 00:13:39,280 Speaker 6: them up and started slamming them around and killed them. 310 00:13:39,320 --> 00:13:40,480 Speaker 6: I don't want too touching me.