1 00:00:05,840 --> 00:00:08,119 Speaker 1: Okay, it's the start of another year. Twenty twenty five 2 00:00:08,280 --> 00:00:11,760 Speaker 1: is about to kick off, and we are ready for 3 00:00:11,800 --> 00:00:15,760 Speaker 1: the Happy Families Podcast, brand new year, Kylie, I just said, 4 00:00:15,800 --> 00:00:18,200 Speaker 1: twenty twenty five. We're keeping it in because this is 5 00:00:18,239 --> 00:00:20,680 Speaker 1: what happens at the start of the year. It messes 6 00:00:20,720 --> 00:00:22,600 Speaker 1: with your head. You didn't pick it up, did you. 7 00:00:22,600 --> 00:00:26,079 Speaker 1: You were just going with it. I was just going, Oh, 8 00:00:26,120 --> 00:00:27,880 Speaker 1: my goodness. I hope that's not an omen I hope 9 00:00:27,920 --> 00:00:30,360 Speaker 1: it's not a sign of what's to come in twenty 10 00:00:30,360 --> 00:00:32,479 Speaker 1: twenty five. At the start of the year, I've made 11 00:00:32,520 --> 00:00:34,840 Speaker 1: a whole lot of predictions. I made eight predictions about 12 00:00:34,880 --> 00:00:36,400 Speaker 1: things that I thought would change in the world of 13 00:00:36,440 --> 00:00:39,599 Speaker 1: parenting or school or tech and the stuff that applies 14 00:00:39,600 --> 00:00:40,680 Speaker 1: to us as parents. 15 00:00:41,080 --> 00:00:41,879 Speaker 2: How do you think you went? 16 00:00:42,280 --> 00:00:43,720 Speaker 1: I know how I went because I've done the prep 17 00:00:43,760 --> 00:00:45,880 Speaker 1: for today's podcast, because we're going to review my twenty 18 00:00:45,920 --> 00:00:47,960 Speaker 1: twenty five predictions, look at what went right and what 19 00:00:47,960 --> 00:00:50,639 Speaker 1: went wrong. I got a couple wrong, so we'll talk 20 00:00:50,640 --> 00:00:52,600 Speaker 1: about those first and then we'll kick off with the 21 00:00:52,600 --> 00:00:55,240 Speaker 1: stuff just only human, you know I am. But I 22 00:00:55,240 --> 00:00:57,880 Speaker 1: also have I've cut back. Instead of doing eight predictions, 23 00:00:57,920 --> 00:01:03,440 Speaker 1: I've got four predictions for twenty twenty six, Predictions for 24 00:01:03,560 --> 00:01:05,520 Speaker 1: what's going to happen when it comes to the social 25 00:01:05,560 --> 00:01:07,560 Speaker 1: media band, when it comes to AI chatbots, when it 26 00:01:07,560 --> 00:01:10,199 Speaker 1: comes to our children and parenting, all that stuff. Right 27 00:01:10,360 --> 00:01:15,000 Speaker 1: after this stay with us. I'm so excited for a 28 00:01:15,000 --> 00:01:17,480 Speaker 1: brand new year. I'm so excited. My favorite I think 29 00:01:17,520 --> 00:01:20,360 Speaker 1: this is literally my favorite episode of the year. 30 00:01:20,880 --> 00:01:21,959 Speaker 2: Do you you say that? 31 00:01:22,080 --> 00:01:24,920 Speaker 1: Like, no, no, no, I know I get excited about Doctor's 32 00:01:24,959 --> 00:01:28,160 Speaker 1: Desk episodes and that sort of thing, but predictions, Like, 33 00:01:28,240 --> 00:01:30,600 Speaker 1: I'm thinking about the predictions that I made at the 34 00:01:30,600 --> 00:01:33,000 Speaker 1: start of the year all through the year, and then 35 00:01:33,000 --> 00:01:34,840 Speaker 1: I'm also thinking about the predictions that I'm going to 36 00:01:34,840 --> 00:01:36,200 Speaker 1: make at the start of the year for the next year. 37 00:01:36,440 --> 00:01:39,320 Speaker 1: I've been thinking about today's podcast literally since last year 38 00:01:39,319 --> 00:01:41,840 Speaker 1: when we're recorded last year's podcast on the same topic, 39 00:01:42,560 --> 00:01:45,480 Speaker 1: which makes me. You're weird, Thank you a little weird? 40 00:01:48,240 --> 00:01:50,040 Speaker 1: All right, So welcome back for those of you who 41 00:01:50,040 --> 00:01:52,560 Speaker 1: are brand news the podcast you have somehow just discovered 42 00:01:52,640 --> 00:01:54,680 Speaker 1: us on day one. My name is doctor Justin Cols. 43 00:01:54,720 --> 00:01:58,000 Speaker 1: I'm the parenting expert and co host channel lines hit 44 00:01:58,040 --> 00:02:00,400 Speaker 1: TV show Parental Guidance. Don't know if I've got another 45 00:02:00,400 --> 00:02:02,160 Speaker 1: season coming up, yet can't say anything about it because 46 00:02:02,160 --> 00:02:03,600 Speaker 1: nobody's talked to me about it. But I've got my 47 00:02:03,640 --> 00:02:06,040 Speaker 1: fingers crossed. Also the author a bunch of books and 48 00:02:06,120 --> 00:02:08,400 Speaker 1: missus Happy Families, Kylie beside. 49 00:02:08,000 --> 00:02:09,560 Speaker 2: Me, I have not written a book. 50 00:02:09,680 --> 00:02:13,200 Speaker 1: No, but you've read a lot, and you've reared our 51 00:02:13,240 --> 00:02:19,040 Speaker 1: six daughters Mum to our six Kids podcast co host EXTRAORDINAI, Kylie, 52 00:02:19,040 --> 00:02:21,000 Speaker 1: you want to talk about my predictions, and specifically, you 53 00:02:21,040 --> 00:02:22,600 Speaker 1: want to talk about what I got wrong first. 54 00:02:23,360 --> 00:02:24,280 Speaker 2: I think it's only fair. 55 00:02:24,320 --> 00:02:25,560 Speaker 1: Thanks to that. I appreciate it. 56 00:02:25,800 --> 00:02:28,280 Speaker 2: So there's a little bit of a side prediction you 57 00:02:28,320 --> 00:02:30,000 Speaker 2: made about TikTok survival. 58 00:02:30,240 --> 00:02:32,040 Speaker 1: Yes, okay, So this time last year I said that 59 00:02:32,040 --> 00:02:34,000 Speaker 1: TikTok was not going to survive. It certainly not in 60 00:02:34,080 --> 00:02:38,680 Speaker 1: its current state, because the US government had concerns that 61 00:02:39,240 --> 00:02:42,799 Speaker 1: by Dance, which is a Chinese company, well technically it's 62 00:02:42,840 --> 00:02:44,959 Speaker 1: run out of China, but the CCP is behind a 63 00:02:45,000 --> 00:02:47,520 Speaker 1: lot of what's going on, and there's the information gathering 64 00:02:47,520 --> 00:02:50,080 Speaker 1: and so on. I just thought with the US government 65 00:02:50,120 --> 00:02:53,040 Speaker 1: and the Biden administration passing the law and Congress being 66 00:02:53,040 --> 00:02:55,200 Speaker 1: a one hundred percent across this that TikTok was going 67 00:02:55,240 --> 00:02:58,640 Speaker 1: to be dismantled and demolished or restructured. As it happens. 68 00:02:58,639 --> 00:03:01,200 Speaker 1: Donald Trump has been in office for the last year 69 00:03:01,200 --> 00:03:03,160 Speaker 1: and he's pretty much just ignored the law and he's 70 00:03:03,200 --> 00:03:06,320 Speaker 1: allowed TikTok to keep on going. And there are some 71 00:03:06,360 --> 00:03:08,240 Speaker 1: stories about some rich friends of his who might do 72 00:03:08,400 --> 00:03:10,519 Speaker 1: very well as TikTok sort of progresses and all that 73 00:03:10,520 --> 00:03:12,560 Speaker 1: sort of stuff. But anyway, I was totally wrong because 74 00:03:12,600 --> 00:03:15,560 Speaker 1: Donald Trump is unpredictable and the TikTok thing didn't happen. 75 00:03:15,680 --> 00:03:18,760 Speaker 1: Got it wrong. TikTok still exists. Everyone's still on it. 76 00:03:19,360 --> 00:03:20,720 Speaker 1: There's my first mistake. 77 00:03:21,360 --> 00:03:26,240 Speaker 2: Dum all right, Next one intergenerational living and staycation. 78 00:03:26,840 --> 00:03:28,720 Speaker 1: So because of the cost of living crisis, because of 79 00:03:28,760 --> 00:03:31,200 Speaker 1: the increasing interest rates, because everyone's going, oh, my goodness, 80 00:03:31,240 --> 00:03:32,959 Speaker 1: life is expensive and we can't afford to do anything 81 00:03:32,960 --> 00:03:35,360 Speaker 1: anymore for goodness sakes like apples. Have you seen how 82 00:03:35,440 --> 00:03:36,480 Speaker 1: much apples cost? 83 00:03:36,880 --> 00:03:39,920 Speaker 2: Or it's actually really blown my mind. 84 00:03:40,120 --> 00:03:41,960 Speaker 1: I went into our regular like just a fruit shop. 85 00:03:42,120 --> 00:03:44,160 Speaker 1: It's like a discount fruit shop down the road. The 86 00:03:44,200 --> 00:03:46,680 Speaker 1: other day they had our favorite what are they, pink 87 00:03:46,720 --> 00:03:49,840 Speaker 1: Lady apples seven dollars ninety nine a kilo for apples, 88 00:03:50,200 --> 00:03:52,120 Speaker 1: and they were like massive, they were the size of 89 00:03:52,400 --> 00:03:54,800 Speaker 1: my fist, double or enormous. It was like that's a 90 00:03:54,840 --> 00:03:57,680 Speaker 1: meal for three people, but nobody wants to eat an 91 00:03:57,680 --> 00:03:59,000 Speaker 1: eight dollar apple, do you know what I mean? Like 92 00:03:59,040 --> 00:04:01,840 Speaker 1: it was a kilo of apple. So anyway, I predict 93 00:04:02,000 --> 00:04:06,400 Speaker 1: that there would be more more families saying hey, let's 94 00:04:06,400 --> 00:04:09,280 Speaker 1: all move in together with the grandparents or whatever. And 95 00:04:09,320 --> 00:04:11,760 Speaker 1: I also predicted that we would be traveling overseas less 96 00:04:11,920 --> 00:04:13,680 Speaker 1: as a nation because it costs a lot to live. 97 00:04:14,120 --> 00:04:16,200 Speaker 1: I couldn't find any strong data at order to specifically 98 00:04:16,200 --> 00:04:18,640 Speaker 1: confirm a major surgeon multi generational living. I mean I 99 00:04:18,640 --> 00:04:20,080 Speaker 1: looked for it. I really tried to find out that 100 00:04:20,120 --> 00:04:21,919 Speaker 1: I was right, but I couldn't find the data for it. 101 00:04:21,920 --> 00:04:24,080 Speaker 1: And I'm probably wrong, but I did. 102 00:04:24,240 --> 00:04:26,159 Speaker 2: Well, everybody I know hates their families. 103 00:04:26,520 --> 00:04:28,919 Speaker 1: Do you know what what is going on with that? 104 00:04:28,920 --> 00:04:30,800 Speaker 1: That's a prediction that I didn't make. But can we 105 00:04:30,920 --> 00:04:33,000 Speaker 1: start just getting along with our families again, like our 106 00:04:33,040 --> 00:04:36,320 Speaker 1: extended families? Holy cow, everyone you talk to is estrange 107 00:04:36,360 --> 00:04:38,320 Speaker 1: from their in laws or from their parents, or from 108 00:04:38,320 --> 00:04:40,240 Speaker 1: a brother or a sister or an arty or like 109 00:04:40,680 --> 00:04:45,000 Speaker 1: it's every anyway, I digress, Australians went on more overseas 110 00:04:45,040 --> 00:04:46,960 Speaker 1: holidays in before. 111 00:04:48,360 --> 00:04:50,960 Speaker 2: That's what we definitely added to the data there. 112 00:04:51,720 --> 00:04:53,640 Speaker 1: Well we did. We had that big New Zealand my 113 00:04:53,760 --> 00:04:56,320 Speaker 1: fiftieth birthday trip. But so I got those two things 114 00:04:56,360 --> 00:04:59,320 Speaker 1: completely wrong. TikTok still exists as it was, and more 115 00:04:59,320 --> 00:05:02,320 Speaker 1: Australians are holdaying overseason ever before. Can't confirm or to 116 00:05:02,360 --> 00:05:04,839 Speaker 1: know whether there's intergeneration or living going on, but it 117 00:05:04,839 --> 00:05:06,719 Speaker 1: seems that people are complaining a lot about the cost 118 00:05:06,720 --> 00:05:08,839 Speaker 1: of living, but certainly not moving in with the in 119 00:05:09,000 --> 00:05:10,359 Speaker 1: laws to cut costs. 120 00:05:10,600 --> 00:05:12,799 Speaker 2: So there was a couple that you kind of partially 121 00:05:12,800 --> 00:05:14,840 Speaker 2: got right. I still think we're going to call them wrong, 122 00:05:14,960 --> 00:05:18,000 Speaker 2: but I'll give it to you partially right or not. 123 00:05:19,200 --> 00:05:22,120 Speaker 2: AI Education Revolution. Tell us more about. 124 00:05:21,880 --> 00:05:25,279 Speaker 1: That, okay. So I predicted that AI would explode across 125 00:05:25,320 --> 00:05:27,000 Speaker 1: the education sector, that it would be used in the 126 00:05:27,000 --> 00:05:28,920 Speaker 1: schools and classrooms and teachers would be all over it 127 00:05:28,960 --> 00:05:30,920 Speaker 1: and students would be all over it. And I actually 128 00:05:31,839 --> 00:05:33,800 Speaker 1: I'm saying, I'm saying that I kind of got this right, 129 00:05:33,839 --> 00:05:36,760 Speaker 1: because every student, every high school student especially that you 130 00:05:36,839 --> 00:05:38,719 Speaker 1: talk to, is using AI. They're just not telling the 131 00:05:38,760 --> 00:05:41,080 Speaker 1: teachers and they're trying to be sneaky about it, and 132 00:05:41,279 --> 00:05:43,039 Speaker 1: I know from talking to a lot of teachers that 133 00:05:43,040 --> 00:05:45,159 Speaker 1: they are doing everything they can to figure out ways 134 00:05:45,160 --> 00:05:49,080 Speaker 1: to get AI to reduce their workloads because teachers remain 135 00:05:49,200 --> 00:05:51,159 Speaker 1: stressed and carrying huge workloads. 136 00:05:51,480 --> 00:05:54,080 Speaker 2: So can I just put a sidebar here? AI has 137 00:05:54,080 --> 00:05:55,320 Speaker 2: actually become my best friend? 138 00:05:55,839 --> 00:05:57,160 Speaker 1: Well, that's going to be part of one of the 139 00:05:57,160 --> 00:05:59,200 Speaker 1: predictions that I got right, and we will talk about 140 00:05:59,240 --> 00:06:03,200 Speaker 1: that in this second. But anyway, there is definitely growing 141 00:06:03,200 --> 00:06:07,919 Speaker 1: evidence of AI literacy initiatives and debates about AI in schools. 142 00:06:08,520 --> 00:06:10,800 Speaker 1: But where the twenty twenty five was actually the inflection 143 00:06:10,839 --> 00:06:13,200 Speaker 1: point I predicted, I'm not sure yet. I think that 144 00:06:13,279 --> 00:06:15,560 Speaker 1: this runway is still got a fair bit to go. 145 00:06:15,720 --> 00:06:18,160 Speaker 1: This runway. I'm getting my metaphors mixed up, but I 146 00:06:18,200 --> 00:06:20,040 Speaker 1: think there's still a fair way to go on this one. 147 00:06:20,160 --> 00:06:22,400 Speaker 1: And this year's going to be bigger for AI than 148 00:06:22,480 --> 00:06:23,560 Speaker 1: last year was, is. 149 00:06:23,600 --> 00:06:26,719 Speaker 2: My Well, especially now that I know about it, you were. 150 00:06:26,600 --> 00:06:29,440 Speaker 1: That's right, Okay, So I kind of partially maybe got 151 00:06:29,480 --> 00:06:31,359 Speaker 1: that right, but we probably don't really have the evidence 152 00:06:31,400 --> 00:06:31,760 Speaker 1: for it. 153 00:06:32,720 --> 00:06:35,960 Speaker 2: And the last one that you kind of you think 154 00:06:36,000 --> 00:06:39,120 Speaker 2: you partially got right was the year of the Boys. 155 00:06:38,839 --> 00:06:41,320 Speaker 1: All right. So basically what I said was everyone's recognizing 156 00:06:41,360 --> 00:06:46,279 Speaker 1: that our young men, males, even our older men are struggling. 157 00:06:46,400 --> 00:06:49,360 Speaker 1: And we've got all party parliamentary committees around the world, 158 00:06:49,400 --> 00:06:53,640 Speaker 1: We've got institutes and think tanks coming up really focusing 159 00:06:53,680 --> 00:06:56,200 Speaker 1: on the interests of boys and men, because when one 160 00:06:56,440 --> 00:06:59,080 Speaker 1: gender doesn't do well, the other gender can't do well. 161 00:06:59,160 --> 00:07:01,920 Speaker 1: And there's been a really, really strong emphasis for the 162 00:07:02,000 --> 00:07:04,359 Speaker 1: last thirty forty fifty sixty years on how can we 163 00:07:04,400 --> 00:07:06,560 Speaker 1: bring women along. And while there's still work to do, 164 00:07:06,600 --> 00:07:08,040 Speaker 1: I think that we've done a reasonable job in a 165 00:07:08,080 --> 00:07:10,760 Speaker 1: lot of areas there. Like I said, still plenty of 166 00:07:10,760 --> 00:07:12,840 Speaker 1: work to do, and oh my goodness, there are some challenges, 167 00:07:13,320 --> 00:07:16,440 Speaker 1: but boys and men are struggling, and I predicted that 168 00:07:16,640 --> 00:07:19,280 Speaker 1: there would be a shift, there would be a genuine shift. 169 00:07:19,560 --> 00:07:22,000 Speaker 1: I think that the underlying data certainly supports my concerns. 170 00:07:22,040 --> 00:07:24,440 Speaker 1: I don't think twenty twenty five or laid them at all. 171 00:07:24,920 --> 00:07:29,120 Speaker 1: We know that young men's participation in the workforce is declining. 172 00:07:29,120 --> 00:07:31,080 Speaker 1: We know they're doing worse at education they ever have. 173 00:07:31,160 --> 00:07:34,800 Speaker 1: Their engagement in school university is lower. Mental health challenges 174 00:07:34,800 --> 00:07:39,240 Speaker 1: persist neat NAT not in education, employment or training. Figures 175 00:07:39,240 --> 00:07:41,840 Speaker 1: continue to go up for young men much higher than 176 00:07:41,840 --> 00:07:44,760 Speaker 1: they are for young women. But again, I just can't 177 00:07:44,880 --> 00:07:47,160 Speaker 1: be sure about twenty twenty five specifically being the year 178 00:07:47,200 --> 00:07:50,480 Speaker 1: of the Boy, specifically where I said that masculinity would 179 00:07:50,480 --> 00:07:53,000 Speaker 1: start to be celebrated. Again, I don't think that's happening. 180 00:07:53,040 --> 00:07:56,160 Speaker 1: I think that there are too many voices that are 181 00:07:56,640 --> 00:08:00,200 Speaker 1: not keen on that happening. So I got it wrong. 182 00:08:00,280 --> 00:08:01,640 Speaker 1: I don't think that it went the way that I 183 00:08:01,720 --> 00:08:03,400 Speaker 1: thought that it would. I think there's still room for 184 00:08:03,560 --> 00:08:06,240 Speaker 1: a lot of improvement in terms of supporting young men. 185 00:08:06,880 --> 00:08:09,480 Speaker 2: What I will say is I feel like there is 186 00:08:09,560 --> 00:08:12,160 Speaker 2: a much greater awareness than there's ever been, and it's 187 00:08:12,160 --> 00:08:15,160 Speaker 2: a conversation that's been had more than has ever been had. 188 00:08:15,280 --> 00:08:19,000 Speaker 1: Totally agree, and we've got so many huge names out 189 00:08:19,000 --> 00:08:20,800 Speaker 1: there that are really talking it up, making a lot 190 00:08:20,800 --> 00:08:22,360 Speaker 1: of noise about it, and I think that's part of it. 191 00:08:22,400 --> 00:08:24,400 Speaker 1: So they're the ones where I got them wrong or 192 00:08:24,440 --> 00:08:26,920 Speaker 1: there's some insufficient evidence. But I've got some good news 193 00:08:27,600 --> 00:08:28,640 Speaker 1: and I'm very excited about it. 194 00:08:28,680 --> 00:08:29,680 Speaker 2: We've got a few rights. 195 00:08:29,800 --> 00:08:34,240 Speaker 1: The other five I nailed. The other five actually the 196 00:08:34,320 --> 00:08:37,040 Speaker 1: Lighthouse parenting one. I said the lighthouse parenting would be 197 00:08:37,080 --> 00:08:39,000 Speaker 1: the parenting style of the year. I think it probably was. 198 00:08:39,080 --> 00:08:41,680 Speaker 1: But it's not like there's overwhelming evidence for that one either. 199 00:08:41,880 --> 00:08:45,320 Speaker 1: I would say insufficient data was there, although I did 200 00:08:45,400 --> 00:08:49,480 Speaker 1: do a Google Trends search and there was more talk 201 00:08:49,520 --> 00:08:54,400 Speaker 1: about lighthouse parenting on the Internet last year than ever before. 202 00:08:54,720 --> 00:08:58,520 Speaker 1: So definitely on the rise. And there are a bunch 203 00:08:58,559 --> 00:09:02,280 Speaker 1: of sources that I found fairly credible, major mainstream news 204 00:09:02,280 --> 00:09:05,680 Speaker 1: outlet sources that said that light has parenting was gaining 205 00:09:05,720 --> 00:09:09,440 Speaker 1: serious momentum, surging in popularity, and becoming a response to 206 00:09:09,480 --> 00:09:13,040 Speaker 1: the exhaustion of gentle parenting. H I feel like I 207 00:09:13,120 --> 00:09:13,520 Speaker 1: got it right. 208 00:09:22,280 --> 00:09:24,080 Speaker 2: So you did mention before that we were going to 209 00:09:24,080 --> 00:09:26,680 Speaker 2: touch on the AI parenting revolution, All. 210 00:09:26,640 --> 00:09:28,559 Speaker 1: Right, you've discovered it. Why don't you go first, and 211 00:09:28,600 --> 00:09:29,719 Speaker 1: then I'll tell you why I was right. 212 00:09:30,440 --> 00:09:33,080 Speaker 2: So I have a really bad habit of double booking 213 00:09:33,320 --> 00:09:37,040 Speaker 2: or forgetting appointments, do it all the time, and I've 214 00:09:37,040 --> 00:09:39,480 Speaker 2: actually lost a hairdresser over it. Like it's been a 215 00:09:39,520 --> 00:09:40,000 Speaker 2: big deal. 216 00:09:40,160 --> 00:09:41,680 Speaker 1: When you say I lost a hairdresser, it's not like 217 00:09:41,720 --> 00:09:43,720 Speaker 1: you just like be sad to me. Exactly she said, 218 00:09:43,720 --> 00:09:46,120 Speaker 1: you're not what covers are plant anymore. You've missed two 219 00:09:46,160 --> 00:09:48,240 Speaker 1: hair dressing appointments in the last six months, not seeing 220 00:09:48,280 --> 00:09:48,679 Speaker 1: you again. 221 00:09:49,800 --> 00:09:53,199 Speaker 2: So we invested in a skylight. 222 00:09:53,440 --> 00:09:55,920 Speaker 1: Okay, a hashtag, not sponsored. They don't know who we are, 223 00:09:55,960 --> 00:09:57,400 Speaker 1: they don't know that we exist. We just bought one 224 00:09:57,440 --> 00:09:59,839 Speaker 1: of these things because they are online and all the 225 00:10:00,000 --> 00:10:02,560 Speaker 1: electrical outlet stores. We just bought a skylight. If you 226 00:10:02,559 --> 00:10:04,400 Speaker 1: haven't seen it, google it. We'll link to it in 227 00:10:04,440 --> 00:10:06,000 Speaker 1: the show notes. We're not geting to kick backs. We'll 228 00:10:06,000 --> 00:10:08,080 Speaker 1: just tell you all. You'll find it. 229 00:10:08,760 --> 00:10:12,920 Speaker 2: And I am in love. So the one feature of 230 00:10:12,960 --> 00:10:14,920 Speaker 2: all the things I know we're talking about calendars and 231 00:10:14,960 --> 00:10:18,120 Speaker 2: getting things right, But the one feature is I can 232 00:10:18,160 --> 00:10:21,360 Speaker 2: take a photo using AI of all of my recipes, 233 00:10:21,400 --> 00:10:25,240 Speaker 2: whether they're handwritten, typed or in a recipe book, and 234 00:10:25,280 --> 00:10:29,720 Speaker 2: it will upload the recipe to my Skylight. And then 235 00:10:29,920 --> 00:10:33,520 Speaker 2: when I go into my weekly meal plan, I can 236 00:10:33,600 --> 00:10:36,720 Speaker 2: ask it to auto populate. I don't even have to 237 00:10:36,760 --> 00:10:39,440 Speaker 2: make a decision about what we're eating for dinner. And 238 00:10:39,480 --> 00:10:42,439 Speaker 2: then the best part of all is I literally push 239 00:10:42,440 --> 00:10:45,160 Speaker 2: a button and it includes all the ingredients for that 240 00:10:45,320 --> 00:10:46,439 Speaker 2: meal in. 241 00:10:46,440 --> 00:10:49,320 Speaker 1: My grocery list, and then you just open the fridge 242 00:10:49,320 --> 00:10:51,120 Speaker 1: in the pantry and cross of everything that we've got, 243 00:10:51,200 --> 00:10:53,320 Speaker 1: and then you don't even need to give me the 244 00:10:53,360 --> 00:10:55,240 Speaker 1: list because we've both got the app. So then I 245 00:10:55,240 --> 00:10:56,920 Speaker 1: go to the shops and I've already got a grocery 246 00:10:56,920 --> 00:10:57,319 Speaker 1: list there. 247 00:10:57,320 --> 00:11:00,240 Speaker 2: It's the best thing ever. And then when you it 248 00:11:00,280 --> 00:11:02,240 Speaker 2: in the trolley, you just tick the box and it's gone. 249 00:11:02,440 --> 00:11:04,800 Speaker 1: I don't know how we've lived our lives without a 250 00:11:04,840 --> 00:11:07,520 Speaker 1: Skylight for that. Anyway. This is not a sponsored post. 251 00:11:07,840 --> 00:11:11,160 Speaker 2: Sorry, it's a very big digression, but honestly has changed 252 00:11:11,200 --> 00:11:12,040 Speaker 2: my world. 253 00:11:13,480 --> 00:11:16,520 Speaker 1: All right, now that you've done the plug that you 254 00:11:16,559 --> 00:11:19,040 Speaker 1: said that you had to do. I predicted that there 255 00:11:19,080 --> 00:11:21,400 Speaker 1: would be an AI parenting revolution and that parents would 256 00:11:21,440 --> 00:11:26,720 Speaker 1: be used. I'm revolting AI everywhere, and it does seem 257 00:11:26,760 --> 00:11:30,160 Speaker 1: that AI has absolutely become a mainstream parenting assistant. During 258 00:11:30,160 --> 00:11:34,079 Speaker 1: twenty twenty five. Parents are using them for meal planning 259 00:11:34,360 --> 00:11:38,400 Speaker 1: and homework help and scripts for emotional support when the 260 00:11:38,520 --> 00:11:41,640 Speaker 1: children are having a hard time, and birthday party planning 261 00:11:41,720 --> 00:11:45,720 Speaker 1: and co parenting, and everybody's openly discussing how they're co 262 00:11:45,840 --> 00:11:49,040 Speaker 1: parenting with Chat, GPT or Claude or Skylight or whatever 263 00:11:49,040 --> 00:11:52,640 Speaker 1: AI that they're using. ABC's Good Morning America did major 264 00:11:52,679 --> 00:11:55,000 Speaker 1: segments on the trand as did all of Australia's major 265 00:11:55,000 --> 00:11:58,120 Speaker 1: news outlets one at one point or another. And because 266 00:11:58,160 --> 00:11:59,920 Speaker 1: this is such a big deal and the kids use 267 00:12:00,200 --> 00:12:03,800 Speaker 1: so much, OpenAI has even introduced parental controls over the 268 00:12:03,880 --> 00:12:07,880 Speaker 1: last six months. Because this thing is mega, it's massive. 269 00:12:08,520 --> 00:12:10,920 Speaker 1: It was kind of a it was a free shot, 270 00:12:11,000 --> 00:12:14,440 Speaker 1: really like I couldn't miss that one. But it has. 271 00:12:14,720 --> 00:12:16,400 Speaker 1: I was right, That's all I'm saying. I was right. 272 00:12:17,840 --> 00:12:21,120 Speaker 2: What about the homeschooling surge that you predicted. 273 00:12:20,880 --> 00:12:23,880 Speaker 1: Yeah, massively validated. Australian homeschooling has increased by ninety two 274 00:12:23,880 --> 00:12:27,720 Speaker 1: percent nationally since twenty twenty. Queensland's experienced a staggering one 275 00:12:27,800 --> 00:12:31,439 Speaker 1: hundred and sixty three percent increase in homeschooling. I found 276 00:12:31,440 --> 00:12:35,320 Speaker 1: this on the Today Show. Well, homeschooling has sowed across Australia, 277 00:12:35,400 --> 00:12:38,440 Speaker 1: with numbers more than quadrupling over the past decade in 278 00:12:38,679 --> 00:12:41,880 Speaker 1: New South Wales alone. So it's been all over the news, 279 00:12:41,920 --> 00:12:46,720 Speaker 1: it's been everywhere. Bullying, school refusal, anxiety, concerns about school policies, 280 00:12:46,760 --> 00:12:51,240 Speaker 1: concerns about the curriculum, neurodiversity. They're all confirmed as primary drivers. 281 00:12:51,640 --> 00:12:52,160 Speaker 1: Got it right. 282 00:12:52,600 --> 00:12:55,560 Speaker 2: So one of the big predictions you made was in 283 00:12:55,600 --> 00:12:58,800 Speaker 2: relation to the social media ban and specifically this digital 284 00:12:58,920 --> 00:13:02,400 Speaker 2: detox movement that we are striving for as parents for 285 00:13:02,480 --> 00:13:05,240 Speaker 2: our children. How did that go well? 286 00:13:05,240 --> 00:13:07,400 Speaker 1: I was one hundred p correct. Australia ended up leading 287 00:13:07,400 --> 00:13:10,680 Speaker 1: a global revolution by implementing the world first under sixteen 288 00:13:10,760 --> 00:13:13,080 Speaker 1: social medium in a major legislation came into effect on 289 00:13:13,080 --> 00:13:15,199 Speaker 1: December ten, twenty twenty five. I was invited to cure 290 00:13:15,280 --> 00:13:17,319 Speaker 1: Billy with the Prime Minister and a whole lot of 291 00:13:17,400 --> 00:13:20,600 Speaker 1: other people who were very, very interested in making sure 292 00:13:20,600 --> 00:13:24,080 Speaker 1: that this worked, and I'm really really delighted that the 293 00:13:24,080 --> 00:13:27,040 Speaker 1: government did it. However, there's a whole lot of countries 294 00:13:27,080 --> 00:13:28,640 Speaker 1: that are watching very close to see what works and 295 00:13:28,640 --> 00:13:30,640 Speaker 1: what doesn't. And right now it's had a pretty bumpy landing. 296 00:13:30,640 --> 00:13:33,360 Speaker 1: It's not going nearly as well as I had hoped, 297 00:13:33,360 --> 00:13:36,760 Speaker 1: and certainly not nearly as well as predicted. And I'm 298 00:13:36,760 --> 00:13:38,319 Speaker 1: going to talk about that with my twenty twenty six 299 00:13:38,360 --> 00:13:40,240 Speaker 1: predictions in a minute. But we know that France are 300 00:13:40,280 --> 00:13:42,079 Speaker 1: looking at it, Malaysias looking at it, in New Zealand's 301 00:13:42,080 --> 00:13:44,959 Speaker 1: looking at it and a bunch of others considering similar measures. 302 00:13:45,160 --> 00:13:49,600 Speaker 1: It's necessary, it's important, but the rollout it's problematic. That 303 00:13:49,760 --> 00:13:51,720 Speaker 1: was my next prediction that I got right. And there 304 00:13:51,720 --> 00:13:53,920 Speaker 1: was one more that I nailed as well. Hunt what 305 00:13:53,960 --> 00:13:56,840 Speaker 1: was that one YouTube? I said that YouTube would continue 306 00:13:56,880 --> 00:13:59,679 Speaker 1: to dominate. I don't care what other platforms are out there, 307 00:14:00,120 --> 00:14:04,760 Speaker 1: no one and nothing comes close to YouTube. YouTube maintained 308 00:14:04,760 --> 00:14:07,560 Speaker 1: its position as the number one streaming platform in twenty 309 00:14:07,600 --> 00:14:10,840 Speaker 1: twenty five and accounted for nine point seven percent of 310 00:14:10,880 --> 00:14:16,439 Speaker 1: all US TV viewership. Netflix only reaches seven point six. Wow, 311 00:14:16,960 --> 00:14:19,320 Speaker 1: and that's only the US. I can't get Australian data 312 00:14:19,360 --> 00:14:21,200 Speaker 1: and worldwide data. It's really hard to find all the 313 00:14:21,280 --> 00:14:26,800 Speaker 1: right information. But it's it's more popular than everything, and 314 00:14:26,880 --> 00:14:31,960 Speaker 1: it has two point seven billion monthly active users. So 315 00:14:32,120 --> 00:14:34,280 Speaker 1: YouTube is going to continue to be the one to watch. 316 00:14:34,880 --> 00:14:39,040 Speaker 1: And the organization that owns YouTube is the same organization 317 00:14:39,080 --> 00:14:43,240 Speaker 1: that owns Google. It's called Alphabet, and my twenty twenty 318 00:14:43,240 --> 00:14:45,080 Speaker 1: six prediction is that they are going to continue to 319 00:14:45,160 --> 00:14:50,200 Speaker 1: absolutely smash it as AI booms. Anyway, I got five 320 00:14:50,400 --> 00:14:53,200 Speaker 1: out of eight. I'm pretty happy with that. I thought 321 00:14:53,200 --> 00:14:54,760 Speaker 1: that was I feel like that means. 322 00:14:54,600 --> 00:14:57,360 Speaker 2: That while we find down to four this time, well 323 00:14:57,440 --> 00:14:58,480 Speaker 2: less to get wrong. 324 00:14:58,560 --> 00:15:00,680 Speaker 1: No, it's because by the time you do the review 325 00:15:00,720 --> 00:15:02,360 Speaker 1: and then you do the predictions, it ends up being 326 00:15:02,360 --> 00:15:05,080 Speaker 1: a very long podcast. One of my New Year's resolutions 327 00:15:05,040 --> 00:15:06,760 Speaker 1: is to get this podcast back to about ten or 328 00:15:06,760 --> 00:15:10,280 Speaker 1: twelve minutes. What do you think we're up to? Have 329 00:15:10,360 --> 00:15:12,560 Speaker 1: we hit fift We've gone past. 330 00:15:14,520 --> 00:15:17,560 Speaker 2: I can't believe you put it on the podcast publicly 331 00:15:17,560 --> 00:15:17,960 Speaker 2: and now. 332 00:15:17,960 --> 00:15:19,720 Speaker 1: I'm so sorry pretty much by a couple of minutes. 333 00:15:19,760 --> 00:15:23,200 Speaker 2: So it's our first podcast, seriously. 334 00:15:23,560 --> 00:15:25,800 Speaker 1: That's why we don't set news resolutions. Actually we've said 335 00:15:25,840 --> 00:15:28,600 Speaker 1: some we have. We're going to talk about that on Friday. 336 00:15:28,720 --> 00:15:30,440 Speaker 1: Here's what we're going to do because we've already gone 337 00:15:30,480 --> 00:15:34,360 Speaker 1: well over time, and I do want to honor people, like, Seriously, 338 00:15:34,400 --> 00:15:36,400 Speaker 1: if you're dropping the kids off and you want to 339 00:15:36,720 --> 00:15:39,680 Speaker 1: get the pairing inspote that you're looking for, you don't 340 00:15:39,680 --> 00:15:41,840 Speaker 1: need this to waffle on for twenty five minutes, which 341 00:15:41,840 --> 00:15:43,960 Speaker 1: we also often do because we love talking to each other. 342 00:15:44,280 --> 00:15:45,560 Speaker 1: So what we're going to do is we're going to 343 00:15:45,560 --> 00:15:48,520 Speaker 1: stop the pod now and tomorrow instead of doing what 344 00:15:48,560 --> 00:15:51,560 Speaker 1: we were going to do tomorrow, will do my four predictions. 345 00:15:51,600 --> 00:15:53,240 Speaker 1: We can easily do that in twelve minutes. 346 00:15:53,760 --> 00:15:54,680 Speaker 2: You reckon. No. 347 00:15:55,880 --> 00:15:58,040 Speaker 1: Oh, by the way, that doesn't include ad time, right, 348 00:15:58,120 --> 00:16:00,400 Speaker 1: like when our sponsors put their ads in. That doesn't 349 00:16:00,400 --> 00:16:03,240 Speaker 1: think it where, it's just it's us. So that's it. 350 00:16:03,280 --> 00:16:05,400 Speaker 1: We're going to wrap it up there, my predictions. I'm 351 00:16:05,400 --> 00:16:07,840 Speaker 1: pretty happy with that. I feel a little bit expertish 352 00:16:07,880 --> 00:16:09,040 Speaker 1: when I get my predictions right. 353 00:16:09,160 --> 00:16:10,480 Speaker 2: Can I do a prediction? 354 00:16:10,680 --> 00:16:13,000 Speaker 1: Yeah, I predict well, hang on, no, that's tomorrow. You 355 00:16:13,000 --> 00:16:15,200 Speaker 1: got to say it for tomorrow. No, do it now? 356 00:16:15,240 --> 00:16:17,040 Speaker 1: Do it now? We need one prediction, go for it. 357 00:16:18,560 --> 00:16:20,680 Speaker 2: I predict that we won't get it down tomorrow. 358 00:16:23,600 --> 00:16:27,200 Speaker 1: We have to Oh my goodness, Hey, you talk way 359 00:16:27,200 --> 00:16:31,200 Speaker 1: too much me. Yeah, oh my goodness. We're going to 360 00:16:31,280 --> 00:16:33,720 Speaker 1: stop now. Okay, the podcast. 361 00:16:33,400 --> 00:16:34,280 Speaker 2: At twenty three or right. 362 00:16:34,440 --> 00:16:36,720 Speaker 1: No, the podcast will be back tomorrow though, and we 363 00:16:36,760 --> 00:16:39,280 Speaker 1: can't wait to share with you my predictions for twenty 364 00:16:39,320 --> 00:16:41,880 Speaker 1: twenty six in the world of parenting and tech and 365 00:16:41,920 --> 00:16:44,600 Speaker 1: everything that applies to your children and how you're raising 366 00:16:44,640 --> 00:16:46,560 Speaker 1: your family. So that's tomorrow on the pod. Thanks so 367 00:16:46,640 --> 00:16:48,440 Speaker 1: much for listening today, Thanks for joining us for another 368 00:16:48,480 --> 00:16:51,760 Speaker 1: year on the Happy Families Podcast, which, as always continues 369 00:16:51,800 --> 00:16:55,200 Speaker 1: to be produced by the wonderful Jr. Who takes care 370 00:16:55,240 --> 00:16:58,600 Speaker 1: of so much good stuff for us. We also receive 371 00:16:58,600 --> 00:17:02,640 Speaker 1: additional assistance, support and admin and so on from Mimhammond 372 00:17:03,160 --> 00:17:05,480 Speaker 1: and if you'd like more info about making your family happier, 373 00:17:05,600 --> 00:17:08,160 Speaker 1: check us out at happy families dot com dot au