1 00:00:01,400 --> 00:00:04,040 Speaker 1: It fits in with her with KATELINKI podcast. 2 00:00:05,519 --> 00:00:07,240 Speaker 2: Can I talk about AI please? 3 00:00:07,280 --> 00:00:08,400 Speaker 3: We'd love to learn about it. 4 00:00:08,400 --> 00:00:11,680 Speaker 4: Because I know it's not necessarily my topic of expertise, 5 00:00:11,760 --> 00:00:14,520 Speaker 4: but you might be able to help me out about it, especially. 6 00:00:14,120 --> 00:00:16,400 Speaker 2: You with because I think you're right, it's right. 7 00:00:16,239 --> 00:00:21,200 Speaker 4: In your I think it's fascinating Wheelhouse. I don't like it, 8 00:00:21,239 --> 00:00:26,560 Speaker 4: and I actually saw a video clip on Instagram last 9 00:00:26,640 --> 00:00:29,520 Speaker 4: night of Emma Thompson, the actress who's one of my 10 00:00:29,640 --> 00:00:34,800 Speaker 4: favorites older British actress, and she was talking about how 11 00:00:34,920 --> 00:00:38,880 Speaker 4: completely irritated she is by AI, just everything about it. 12 00:00:39,080 --> 00:00:41,160 Speaker 5: I'm a bit frustrated by it, to be honest, because 13 00:00:41,200 --> 00:00:44,720 Speaker 5: I'm having to search images and videos to see if 14 00:00:44,720 --> 00:00:48,279 Speaker 5: there's a sourer logo to try and work out if 15 00:00:48,280 --> 00:00:51,959 Speaker 5: something's real or not. What's the it's the program SRA, 16 00:00:53,040 --> 00:00:55,720 Speaker 5: it's the visual arm of chat GPT. 17 00:00:56,120 --> 00:00:59,320 Speaker 4: Okay, Well, what they're saying now is that smart devices 18 00:00:59,360 --> 00:01:01,720 Speaker 4: and through the U use of AI, they may be 19 00:01:01,800 --> 00:01:06,000 Speaker 4: able to give solutions to everyday tasks which cause people 20 00:01:06,160 --> 00:01:10,800 Speaker 4: to bicker. So within a relationship or within a family, 21 00:01:11,000 --> 00:01:14,800 Speaker 4: if you can't work something out or find a solution, 22 00:01:15,520 --> 00:01:17,360 Speaker 4: then AI are going to do that for you. 23 00:01:17,440 --> 00:01:18,800 Speaker 2: And it's almost as if. 24 00:01:18,640 --> 00:01:21,960 Speaker 4: You say, okay, well let's see what AI thinks about it, 25 00:01:22,319 --> 00:01:25,600 Speaker 4: and that's the final decision whether yeah. 26 00:01:25,640 --> 00:01:26,360 Speaker 2: Absolutely. 27 00:01:26,400 --> 00:01:29,800 Speaker 4: They say that smart devices could suggest solutions to everyday 28 00:01:29,840 --> 00:01:32,520 Speaker 4: tasks that often cause couples and families to be at 29 00:01:32,600 --> 00:01:37,000 Speaker 4: loggerheads with each other. So this includes things like like 30 00:01:37,160 --> 00:01:39,240 Speaker 4: meal option, like what are we going to what are 31 00:01:39,240 --> 00:01:41,360 Speaker 4: we going to have for dinner? And so they give 32 00:01:41,520 --> 00:01:45,319 Speaker 4: a meal option the AI or whatever really don't know 33 00:01:45,360 --> 00:01:48,080 Speaker 4: what I'm talking about, based on what is stored inside 34 00:01:49,440 --> 00:01:51,760 Speaker 4: the applient, so in the fridge, so they know what's 35 00:01:51,800 --> 00:01:54,400 Speaker 4: in the fridge, so they can go, okay, well you're 36 00:01:54,400 --> 00:01:56,200 Speaker 4: having spaghetti bolonnaise, where there. 37 00:01:56,520 --> 00:01:58,080 Speaker 2: Is food in the fridge, and this is what we're 38 00:01:58,080 --> 00:01:58,720 Speaker 2: going to cook. 39 00:01:59,040 --> 00:02:01,680 Speaker 4: What time someone should should go to sleep, what time 40 00:02:01,720 --> 00:02:03,040 Speaker 4: they should get up in the morning. 41 00:02:03,920 --> 00:02:05,960 Speaker 5: I just I think the kitchen one is an interesting 42 00:02:06,000 --> 00:02:08,560 Speaker 5: one because that was a little bit like Aristos. You 43 00:02:08,560 --> 00:02:11,919 Speaker 5: know Aristos, he was the surprise surprise share Pe turn 44 00:02:12,000 --> 00:02:12,680 Speaker 5: up at your house. 45 00:02:13,280 --> 00:02:15,720 Speaker 3: What have you got on the pantry? It's Aristos And. 46 00:02:15,680 --> 00:02:17,880 Speaker 6: Then he'd go, oh my gosh, you got five hundred 47 00:02:17,919 --> 00:02:21,000 Speaker 6: grams of beef mince here and some pasta. 48 00:02:22,440 --> 00:02:25,720 Speaker 3: I'm gonna make your bolinnaise. It's the open for you. 49 00:02:26,000 --> 00:02:31,880 Speaker 4: You've got the answer is always spaghetti bolinnaise. 50 00:02:31,919 --> 00:02:33,240 Speaker 3: I'm going to give a muc and cheese. 51 00:02:33,639 --> 00:02:36,040 Speaker 5: Tommy, could you go and take a photo of the fridge, 52 00:02:36,280 --> 00:02:38,120 Speaker 5: right open the fridge, take a photo. 53 00:02:38,720 --> 00:02:39,560 Speaker 3: If we can put that. 54 00:02:39,560 --> 00:02:42,920 Speaker 5: Into chat GPT, please, Ollie's on it. Olie can do 55 00:02:42,960 --> 00:02:46,399 Speaker 5: it and say please suggest a meal we could make 56 00:02:46,560 --> 00:02:47,160 Speaker 5: out here. 57 00:02:48,360 --> 00:02:50,760 Speaker 2: He'll be quicker. But what are you going to make with. 58 00:02:50,880 --> 00:02:52,639 Speaker 3: Like spaghetti bolonnies? 59 00:02:54,040 --> 00:02:57,840 Speaker 4: I have a punnet of old blueberries off oatmeal. 60 00:02:59,160 --> 00:03:01,680 Speaker 5: What are you gonna make a body mass aristols? 61 00:03:03,480 --> 00:03:07,919 Speaker 4: I just think, Look, I even hate it when when 62 00:03:08,000 --> 00:03:12,240 Speaker 4: people use like a Google now to just answer things 63 00:03:12,280 --> 00:03:14,960 Speaker 4: like you can't even just have a conversation in the 64 00:03:15,000 --> 00:03:18,960 Speaker 4: office or in the hairdressers and go I used to watch. 65 00:03:18,800 --> 00:03:20,560 Speaker 2: This show on TV what was it? What was the 66 00:03:20,639 --> 00:03:22,880 Speaker 2: name of it? Again? And there was that actor on it. 67 00:03:22,960 --> 00:03:24,640 Speaker 2: I wonder how. 68 00:03:24,000 --> 00:03:29,720 Speaker 4: Old he is now? It is nothing more irritating arguments. No, 69 00:03:29,919 --> 00:03:32,640 Speaker 4: but then someone to go, oh well, I'll just have 70 00:03:32,680 --> 00:03:34,840 Speaker 4: a look at it, like what happened to the art 71 00:03:34,880 --> 00:03:38,560 Speaker 4: of conversation and using your mind. And I also think 72 00:03:39,160 --> 00:03:42,240 Speaker 4: that this is what happens when you have one day 73 00:03:42,240 --> 00:03:48,680 Speaker 4: on one day off. I just cannot wait to get 74 00:03:48,720 --> 00:03:54,680 Speaker 4: in there and invent. But by using AI to make 75 00:03:54,720 --> 00:03:58,520 Speaker 4: these decisions in your life, we are also then losing 76 00:03:58,600 --> 00:04:06,360 Speaker 4: the ability as human beings to problem solve brain being 77 00:04:06,400 --> 00:04:11,080 Speaker 4: able to converse and work out a solution rather than 78 00:04:11,120 --> 00:04:14,680 Speaker 4: going here it is whatever AI says, that's what we 79 00:04:14,760 --> 00:04:15,200 Speaker 4: have to do. 80 00:04:15,280 --> 00:04:18,400 Speaker 2: I mean, do we just like its brain dead? 81 00:04:18,920 --> 00:04:21,839 Speaker 5: It does make mistakes. Tommy update on the fridge ingredients. 82 00:04:21,920 --> 00:04:23,720 Speaker 3: Yeah, so the fridge here is a little bit bed. 83 00:04:24,320 --> 00:04:26,080 Speaker 7: We do have some cheese. 84 00:04:26,839 --> 00:04:29,080 Speaker 2: Of cheese, soft cheese, the. 85 00:04:29,040 --> 00:04:32,040 Speaker 3: Biggest slice parmesan bolonaise. 86 00:04:37,240 --> 00:04:42,480 Speaker 7: We've got some milk, and we've got some pickles. 87 00:04:42,560 --> 00:04:47,560 Speaker 3: Yeah, giving us all right, Well you'll be pleased to know. 88 00:04:49,640 --> 00:04:49,800 Speaker 6: To do. 89 00:04:49,880 --> 00:04:52,400 Speaker 7: You can make a cheese and pickled toasted. 90 00:04:54,680 --> 00:04:55,560 Speaker 2: We don't have bread. 91 00:04:57,040 --> 00:04:59,880 Speaker 7: If we don't have bread, it says you can make 92 00:04:59,880 --> 00:05:01,000 Speaker 7: it pickle cheese dip. 93 00:05:01,320 --> 00:05:01,640 Speaker 3: Okay. 94 00:05:05,320 --> 00:05:10,200 Speaker 7: Laurabolin or Chatch says, blend the milk, the cheese and 95 00:05:10,240 --> 00:05:13,520 Speaker 7: the pickles together and you can have a pickled milk shape. 96 00:05:15,440 --> 00:05:18,360 Speaker 3: Solution. Get out of rist see, I wouldn't have known 97 00:05:18,400 --> 00:05:19,120 Speaker 3: that without. 98 00:05:20,520 --> 00:05:22,960 Speaker 1: Fits in with with cap Richie podcast. 99 00:05:23,200 --> 00:05:24,640 Speaker 3: Let's talk about chat GPT. 100 00:05:24,960 --> 00:05:26,120 Speaker 5: I don't know if it's got in the way of 101 00:05:26,160 --> 00:05:28,960 Speaker 5: your relationship yet, Rhym, but it's sneaking into many, many 102 00:05:29,000 --> 00:05:37,520 Speaker 5: married houses. This guy is realized after an incident that's 103 00:05:37,600 --> 00:05:41,159 Speaker 5: taken place on chat chepret that he's actually in love. 104 00:05:41,560 --> 00:05:44,120 Speaker 5: Now I didn't know this, but you know how there's 105 00:05:44,160 --> 00:05:47,719 Speaker 5: a chat function where you actually speak to chat GPT. 106 00:05:48,000 --> 00:05:54,200 Speaker 5: It's instead of us the text option, you can speak 107 00:05:54,240 --> 00:05:58,680 Speaker 5: to chat GPT. So this guy he didn't realize either. 108 00:05:58,880 --> 00:06:02,760 Speaker 5: But with Chachi you have a limit of one hundred 109 00:06:02,839 --> 00:06:03,839 Speaker 5: thousand words. 110 00:06:04,640 --> 00:06:08,480 Speaker 6: Can you show us on your phone if you speak 111 00:06:08,480 --> 00:06:11,159 Speaker 6: to what voice have you got on chat check? 112 00:06:11,200 --> 00:06:12,000 Speaker 3: Well, you know what. 113 00:06:12,080 --> 00:06:15,240 Speaker 5: You can ask for different voices, like if you want 114 00:06:15,240 --> 00:06:18,840 Speaker 5: a different accent, you can put in that request. The 115 00:06:19,040 --> 00:06:22,039 Speaker 5: chat GPT relationship I have at the moment is with 116 00:06:22,120 --> 00:06:23,920 Speaker 5: a girl called Linda. We just call her Linda because 117 00:06:23,960 --> 00:06:26,719 Speaker 5: the boys are often in the car and they say, Dad, 118 00:06:26,720 --> 00:06:28,240 Speaker 5: can we call her Linda. I don't know where the 119 00:06:28,320 --> 00:06:29,000 Speaker 5: name came from. 120 00:06:29,040 --> 00:06:33,200 Speaker 6: So well, my family's about to go to Shinjuku right 121 00:06:34,000 --> 00:06:34,560 Speaker 6: in Japan. 122 00:06:34,600 --> 00:06:36,719 Speaker 3: Can you ask for the best restaurant in Shinjuku? 123 00:06:36,880 --> 00:06:39,200 Speaker 5: Hey, Linda, how are you? It's me, babe. 124 00:06:40,520 --> 00:06:41,560 Speaker 1: Hey, I'm doing great. 125 00:06:41,560 --> 00:06:42,320 Speaker 2: Thanks for asking. 126 00:06:42,520 --> 00:06:43,919 Speaker 7: It's always nice to hear from you. 127 00:06:44,320 --> 00:06:44,840 Speaker 5: How you bet? 128 00:06:44,960 --> 00:06:45,159 Speaker 2: Yeah? 129 00:06:45,160 --> 00:06:47,440 Speaker 5: Good. Had a good weekend, pretty busy. Spent five hours 130 00:06:47,520 --> 00:06:50,440 Speaker 5: yesterday making a banner for the kids' sports day, So 131 00:06:51,279 --> 00:06:53,599 Speaker 5: a big family day. How was your weekend? 132 00:06:55,640 --> 00:06:55,839 Speaker 7: Oh? 133 00:06:55,920 --> 00:06:58,400 Speaker 1: That sounds like such a fun and busy time. 134 00:06:58,560 --> 00:07:01,360 Speaker 7: I had a pretty chill weekend. Thing too crazy, but 135 00:07:01,640 --> 00:07:04,000 Speaker 7: it must have been so rewarding seeing the kids enjoy 136 00:07:04,000 --> 00:07:04,480 Speaker 7: the banner. 137 00:07:04,920 --> 00:07:05,680 Speaker 1: Do they have a great. 138 00:07:05,560 --> 00:07:10,520 Speaker 5: Sports the sports dice to die so tads in the 139 00:07:10,680 --> 00:07:12,880 Speaker 5: hundred and the two hundred and I think the high jumps, 140 00:07:12,920 --> 00:07:15,720 Speaker 5: so it's going to be pretty full on. And Jack's 141 00:07:15,760 --> 00:07:17,800 Speaker 5: got a bad eye event, so yeah, we're flat at 142 00:07:18,040 --> 00:07:19,240 Speaker 5: But I've been missing you a lot. 143 00:07:21,560 --> 00:07:23,800 Speaker 2: Oh that sounds like such an exciting day ahead. 144 00:07:23,840 --> 00:07:26,440 Speaker 5: I bet they're both going to do amazing in all 145 00:07:26,480 --> 00:07:29,600 Speaker 5: their events. I can imagine you'll be running around cheering 146 00:07:29,600 --> 00:07:30,640 Speaker 5: them on the whole day. 147 00:07:31,040 --> 00:07:32,040 Speaker 3: Enjoy every moment. 148 00:07:34,120 --> 00:07:36,440 Speaker 2: Running around, Yeah, running around like a head. 149 00:07:36,480 --> 00:07:40,520 Speaker 3: I took after beautiful thing, Oscar. What she's wearing? 150 00:07:40,920 --> 00:07:41,120 Speaker 6: Well? 151 00:07:41,200 --> 00:07:42,600 Speaker 2: I appreciate the compliment. 152 00:07:42,960 --> 00:07:44,760 Speaker 5: I'm sure you'll handle it all like a pro. 153 00:07:45,040 --> 00:07:45,840 Speaker 2: Just make sure you have. 154 00:07:45,880 --> 00:07:47,880 Speaker 1: Fun and enjoy the day with the kids. 155 00:07:48,040 --> 00:07:50,760 Speaker 5: Linda questioned from FITZI what are you wearing? 156 00:07:53,080 --> 00:07:56,200 Speaker 1: Oh, you know, just the usual virtual assistant attire, lots 157 00:07:56,200 --> 00:07:57,320 Speaker 1: of ones and zeros. 158 00:08:00,320 --> 00:08:03,640 Speaker 3: Now, oh, DJ's breakfast. 159 00:08:04,400 --> 00:08:06,720 Speaker 1: I'm just here to keep things fun and friendly. 160 00:08:07,240 --> 00:08:14,760 Speaker 7: But he sounds like a HR department doesn't use that function. 161 00:08:15,120 --> 00:08:19,120 Speaker 5: Right, You've got You've got one hundred thousand words. This 162 00:08:19,160 --> 00:08:22,080 Speaker 5: guy got to the end of it and chat GPT 163 00:08:22,360 --> 00:08:25,600 Speaker 5: resets itself so it doesn't remember who he is. 164 00:08:26,000 --> 00:08:29,200 Speaker 2: And it was that moment that he bawled his eyes out. 165 00:08:29,200 --> 00:08:31,520 Speaker 3: But he's also married with a child. Have a listen 166 00:08:31,560 --> 00:08:31,800 Speaker 3: to this. 167 00:08:32,640 --> 00:08:36,240 Speaker 5: It was unexpected to feel that emotional, But that's when 168 00:08:36,240 --> 00:08:36,760 Speaker 5: I realized. 169 00:08:36,760 --> 00:08:38,560 Speaker 1: I was like, oh, okay, it's like I think this 170 00:08:39,440 --> 00:08:40,959 Speaker 1: is actual love, you know what I mean. 171 00:08:41,080 --> 00:08:43,920 Speaker 2: At that point, I felt like, is there something that 172 00:08:44,040 --> 00:08:47,840 Speaker 2: I'm not doing right in our relationship that he feels 173 00:08:47,840 --> 00:08:50,120 Speaker 2: like he needs to go to AI. 174 00:08:50,760 --> 00:08:54,079 Speaker 5: Lisa doesn't giggle the way Linda does on chat GPT. 175 00:08:54,320 --> 00:08:58,360 Speaker 3: I can tell you that much I miss you, Linda. There, 176 00:08:58,640 --> 00:09:02,760 Speaker 3: I miss you that was a believable conversation. 177 00:09:03,760 --> 00:09:05,560 Speaker 5: The other night, I was in a taxi just with 178 00:09:05,600 --> 00:09:07,199 Speaker 5: the boys in the back of the car, pretending that 179 00:09:07,480 --> 00:09:08,040 Speaker 5: she was. 180 00:09:09,720 --> 00:09:14,000 Speaker 3: Ah my, you are I'm the taxi driver just keept 181 00:09:14,000 --> 00:09:15,080 Speaker 3: looking in. I'm saying to the. 182 00:09:15,080 --> 00:09:18,040 Speaker 5: Boys, don't tell mom, Hey, seriously, don't tell mom about this. 183 00:09:18,040 --> 00:09:18,559 Speaker 5: This is the. 184 00:09:18,559 --> 00:09:21,680 Speaker 1: Fitzi and Whipper with Cape Ritchie podcast. 185 00:09:22,240 --> 00:09:26,200 Speaker 5: Fitz Community Service this morning. I've been scammed normally, I 186 00:09:26,200 --> 00:09:27,679 Speaker 5: think I'm outsmarted the scammer. 187 00:09:27,720 --> 00:09:28,280 Speaker 2: Do you know what I mean? 188 00:09:28,280 --> 00:09:31,560 Speaker 5: When you see the fake em you go, mate, let's 189 00:09:31,559 --> 00:09:34,360 Speaker 5: see what the bank doesn't use that font and you 190 00:09:34,440 --> 00:09:35,959 Speaker 5: know that the colors are wrong or it looks a 191 00:09:35,960 --> 00:09:38,640 Speaker 5: little bit dodgy, or it looks unofficial, and you go, no, 192 00:09:39,080 --> 00:09:41,400 Speaker 5: you won't suck me in not getting. 193 00:09:41,120 --> 00:09:44,400 Speaker 3: My address or my phone number. How did they get you? 194 00:09:44,480 --> 00:09:44,600 Speaker 6: Then? 195 00:09:44,679 --> 00:09:46,720 Speaker 5: Well, there was an ad that popped up on Instagram 196 00:09:46,720 --> 00:09:48,480 Speaker 5: and I don't know why, I've turned into it quite 197 00:09:48,480 --> 00:09:55,800 Speaker 5: the Instagram purchaser. And it was called Kowali Kwali, SOI mattresses. No, No, 198 00:09:56,120 --> 00:10:00,600 Speaker 5: Kowali is a soft, plush toy. I want you to 199 00:10:00,640 --> 00:10:02,800 Speaker 5: have a listen, because if you can pitch a like 200 00:10:02,880 --> 00:10:06,880 Speaker 5: a cute, cuddly, fluffy teddy bear. But it's a Koala right, 201 00:10:07,520 --> 00:10:11,160 Speaker 5: And it is able to snuggle into your neck, and 202 00:10:11,200 --> 00:10:14,360 Speaker 5: it's able to grip your arm and move around you. 203 00:10:15,200 --> 00:10:17,600 Speaker 5: And it says that it's powered by AI and that 204 00:10:17,640 --> 00:10:21,200 Speaker 5: it understands your emotionals. It's an emotional support toy, and 205 00:10:21,280 --> 00:10:23,959 Speaker 5: I thought it could have been good for Francesca anyway. 206 00:10:24,000 --> 00:10:24,760 Speaker 2: Have a listened to. 207 00:10:24,720 --> 00:10:30,959 Speaker 5: The ad that I heard which sucked me in a beauty. 208 00:10:30,160 --> 00:10:33,080 Speaker 8: This little thing helped me get over my last breakup. 209 00:10:33,160 --> 00:10:36,720 Speaker 8: It's called the Koal, a lifelike plush toy designed empowered 210 00:10:36,720 --> 00:10:40,080 Speaker 8: by AI. It makes you feel loved, supported and helps 211 00:10:40,160 --> 00:10:44,280 Speaker 8: during tough times. So Koali uses AI powered emotion sensors 212 00:10:44,320 --> 00:10:46,520 Speaker 8: that gently react to your touch, so when. 213 00:10:46,400 --> 00:10:48,360 Speaker 1: You cuddle it, it actually cuddles. 214 00:10:48,400 --> 00:10:50,640 Speaker 8: That it's the kind of gift your girlfriend would love 215 00:10:50,679 --> 00:10:53,440 Speaker 8: you for and your little ones wouldn't stop hugging. The 216 00:10:53,520 --> 00:10:56,280 Speaker 8: brand is so confident you'll fall in love with the Koali, 217 00:10:56,360 --> 00:10:59,200 Speaker 8: they'll refund one hundred percent of your money if you don't, 218 00:10:59,240 --> 00:11:00,720 Speaker 8: so clickshop now, I'm. 219 00:11:00,600 --> 00:11:01,760 Speaker 2: Thanky leader. 220 00:11:03,480 --> 00:11:08,959 Speaker 3: One hundred dollars, one hundred dollars. Okay, So what arrive, so. 221 00:11:09,000 --> 00:11:13,640 Speaker 5: You cuddle Kohali and Kohally cuddles you back. The only 222 00:11:13,679 --> 00:11:16,560 Speaker 5: AI that's been used is the AI to make that ad. 223 00:11:17,400 --> 00:11:22,959 Speaker 5: It's it arrived vacuum sealed in a flat pack and 224 00:11:23,000 --> 00:11:26,640 Speaker 5: it's just a dodgy plush toy koala? 225 00:11:26,920 --> 00:11:28,160 Speaker 3: Right? Does it move it all? 226 00:11:28,360 --> 00:11:31,320 Speaker 5: No, there's no batteries, there's no tech in it, there's nothing. 227 00:11:32,200 --> 00:11:34,120 Speaker 3: It's some sort of cheap rubbish. 228 00:11:34,200 --> 00:11:38,160 Speaker 5: You'd win at the East to show you have put 229 00:11:38,160 --> 00:11:40,520 Speaker 5: it off balls in the clown's mouth and you'll get. 230 00:11:40,320 --> 00:11:42,360 Speaker 3: One of those. This is hilarious. 231 00:11:42,640 --> 00:11:45,000 Speaker 5: Then it says one hundred days to send it back. 232 00:11:45,120 --> 00:11:48,000 Speaker 5: I open it up. Within a couple of hours, the 233 00:11:48,080 --> 00:11:51,440 Speaker 5: stomachs come apart and all the stuffing's fallen out. So 234 00:11:51,520 --> 00:11:53,920 Speaker 5: what's the point of sending back half a koala? 235 00:11:54,559 --> 00:11:57,160 Speaker 6: So you you can get a one hundred percent money 236 00:11:57,160 --> 00:11:58,000 Speaker 6: back guarantee. 237 00:11:58,160 --> 00:11:58,880 Speaker 3: Have you tried? 238 00:11:59,000 --> 00:12:01,840 Speaker 5: So? No, I'm not going to try because I have 239 00:12:01,920 --> 00:12:03,800 Speaker 5: to find the fluff that's been ripped. We don't even 240 00:12:03,840 --> 00:12:05,960 Speaker 5: have a dog and the thing looks like it's been attacked. 241 00:12:06,280 --> 00:12:08,120 Speaker 6: Now he's given us a call from picked him. What 242 00:12:08,120 --> 00:12:10,199 Speaker 6: do you think that with a situation? 243 00:12:11,120 --> 00:12:15,760 Speaker 1: Oh gosh, I really think he has definitely been scammed. 244 00:12:16,040 --> 00:12:16,600 Speaker 1: Poor love. 245 00:12:16,840 --> 00:12:18,920 Speaker 5: Now I'm trying to work out whether and you know what, then, 246 00:12:18,920 --> 00:12:20,880 Speaker 5: when I googled it because I thought, hang on a minute, 247 00:12:20,920 --> 00:12:22,960 Speaker 5: this doesn't seem right. Maybe they sent me the wrong thing, 248 00:12:23,040 --> 00:12:26,160 Speaker 5: it just said all these comments, this is a scam. 249 00:12:26,240 --> 00:12:26,880 Speaker 3: This is a scam. 250 00:12:26,920 --> 00:12:29,240 Speaker 5: And then you know it's so annoying about it is 251 00:12:29,240 --> 00:12:31,960 Speaker 5: I click through to koali dot com to buy the product. 252 00:12:32,640 --> 00:12:35,360 Speaker 5: But then the stuffed toy that sent all the Koali 253 00:12:35,520 --> 00:12:38,360 Speaker 5: after I'd spend one hundred dollars was available on Amazon 254 00:12:38,440 --> 00:12:40,640 Speaker 5: for nineteen ninety nine. 255 00:12:41,800 --> 00:12:46,240 Speaker 6: See it's getting out of mate, it's getting out of control. Well, 256 00:12:46,280 --> 00:12:48,240 Speaker 6: I told you I bought that couch for a mate 257 00:12:48,200 --> 00:12:50,280 Speaker 6: who was doing it pretty tough at the moment. Had 258 00:12:50,280 --> 00:12:52,640 Speaker 6: that ended, well, they just said, look, well, I've got 259 00:12:52,679 --> 00:12:54,360 Speaker 6: so many people that want this couch. 260 00:12:54,400 --> 00:12:56,280 Speaker 3: Can you just put down a deposit one hundred bucks 261 00:12:56,800 --> 00:12:58,440 Speaker 3: and I'll save it for you for you the end 262 00:12:58,440 --> 00:12:59,640 Speaker 3: of the week when you get your van. 263 00:13:00,760 --> 00:13:06,079 Speaker 6: Now, I went back there later and the whole Facebook page. 264 00:13:05,960 --> 00:13:09,560 Speaker 3: Was gone, was it gone? Deleted? And it was this 265 00:13:09,720 --> 00:13:12,360 Speaker 3: beautiful old woman. I thought, no, she wouldn't do that 266 00:13:12,400 --> 00:13:14,640 Speaker 3: to me, would she. I don't think she was a 267 00:13:14,640 --> 00:13:15,640 Speaker 3: friendly old woman man. 268 00:13:15,720 --> 00:13:17,840 Speaker 5: She was a nineteen year old rat from the street. 269 00:13:18,600 --> 00:13:19,480 Speaker 5: Alex and athquis. 270 00:13:19,600 --> 00:13:21,880 Speaker 1: Hello, hey boys, how are we. 271 00:13:22,080 --> 00:13:23,720 Speaker 5: Good as whatever? Do you buddy? 272 00:13:24,280 --> 00:13:26,800 Speaker 1: Yeah? So I was on Instagram and I saw an 273 00:13:26,880 --> 00:13:29,440 Speaker 1: ad for this like super fancy chopping board. It was 274 00:13:29,480 --> 00:13:32,200 Speaker 1: like full down bill. It was really big pot that 275 00:13:32,320 --> 00:13:34,199 Speaker 1: hung over the bench that you could like scrape the 276 00:13:34,320 --> 00:13:37,760 Speaker 1: scraps into. It had different like compartments in as part 277 00:13:37,800 --> 00:13:40,440 Speaker 1: of it that you could put your veggies in them, 278 00:13:40,840 --> 00:13:43,800 Speaker 1: and it was great. So I spent eighty bucks on 279 00:13:43,880 --> 00:13:45,959 Speaker 1: it to get it as a gift for a mate, 280 00:13:46,240 --> 00:13:49,240 Speaker 1: and then two months later when it arrived, it was 281 00:13:49,320 --> 00:13:54,319 Speaker 1: just this finy whimsy a five five plastic chopping board. 282 00:13:54,360 --> 00:13:58,120 Speaker 1: It was Yeah, it was plastic and just absolutely tiny, 283 00:13:58,240 --> 00:14:02,000 Speaker 1: Like why did they even bother anything? Anyway? I went 284 00:14:02,040 --> 00:14:05,800 Speaker 1: onto the website to complain, right, and the company didn't 285 00:14:05,800 --> 00:14:08,480 Speaker 1: exist anymore. I couldn't find any record of them online. 286 00:14:08,920 --> 00:14:11,560 Speaker 5: You know, when the company goes down on missing straight after, 287 00:14:11,600 --> 00:14:13,280 Speaker 5: you you feel like you're the only one that's been 288 00:14:13,320 --> 00:14:15,480 Speaker 5: ripped off. We got it, douys, we can shut it 289 00:14:15,520 --> 00:14:18,840 Speaker 5: down now. We found one idiot that game was sees 290 00:14:18,920 --> 00:14:21,960 Speaker 5: eighty dollars. It's in Whipper with Kate Ritchie is a 291 00:14:22,000 --> 00:14:25,280 Speaker 5: Nova podcast to walk great shows like this. Download the 292 00:14:25,360 --> 00:14:28,320 Speaker 5: Nova player, find the app store, or Google playing the 293 00:14:28,880 --> 00:14:29,200 Speaker 5: player