1 00:00:05,960 --> 00:00:09,080 Speaker 1: Hello and welcome to the Happy Families Podcast. Two months ago, 2 00:00:09,320 --> 00:00:14,840 Speaker 1: the headlines screamed, chat GPT is destroying our brains. AI 3 00:00:15,280 --> 00:00:19,760 Speaker 1: is lowering your IQ, We're all getting dumber. In fact, 4 00:00:19,840 --> 00:00:26,280 Speaker 1: one Australian newspaper article said that education is no longer education. 5 00:00:26,560 --> 00:00:31,600 Speaker 1: We have been lobotomized by AI. The alarm came from 6 00:00:31,640 --> 00:00:34,560 Speaker 1: an MIT study that showed that students who used chat 7 00:00:34,600 --> 00:00:39,120 Speaker 1: GPT had terrible recall. Eighty three percent could not remember 8 00:00:39,120 --> 00:00:42,080 Speaker 1: what they'd written, compared to just eleven percent who couldn't 9 00:00:42,080 --> 00:00:45,360 Speaker 1: remember if they used their own brains. Case closed rights. 10 00:00:45,680 --> 00:00:49,120 Speaker 1: AI makes you stupid, Except there's something buried in that 11 00:00:49,120 --> 00:00:52,360 Speaker 1: two hundred page study that most headlines missed, and it's 12 00:00:52,400 --> 00:00:55,920 Speaker 1: something that changes everything today. What AI is actually doing 13 00:00:55,960 --> 00:00:59,880 Speaker 1: to our kids' brains, why schools are accidentally making it worse, 14 00:01:00,480 --> 00:01:02,639 Speaker 1: and the one thing that you need to teach your 15 00:01:02,760 --> 00:01:11,199 Speaker 1: children before they touched chat gpt again. Stay with us, gooda. 16 00:01:11,319 --> 00:01:13,080 Speaker 1: Welcome to the Happy Family Podcast, where you get real 17 00:01:13,120 --> 00:01:16,319 Speaker 1: parenting solutions every single Day's Australia's most downloaded parenty podcast. 18 00:01:16,360 --> 00:01:18,920 Speaker 1: We are Justin and Kylie Coursen, the parents of six 19 00:01:19,000 --> 00:01:21,600 Speaker 1: children who do from time to time use chat, GPT 20 00:01:21,880 --> 00:01:24,440 Speaker 1: and other forms of AI. And I'm not just talking 21 00:01:24,480 --> 00:01:25,160 Speaker 1: about the kids. 22 00:01:25,760 --> 00:01:28,600 Speaker 2: I was recently having a conversation with my nutritionalists and 23 00:01:28,680 --> 00:01:30,880 Speaker 2: asking him whether AI was a good way for me 24 00:01:30,920 --> 00:01:34,520 Speaker 2: to count calories right, and he said it's not very reliable. 25 00:01:35,040 --> 00:01:38,920 Speaker 2: And as we continue discussing, I never thought of this, 26 00:01:39,120 --> 00:01:41,560 Speaker 2: but people will take a photo of the plate of 27 00:01:41,640 --> 00:01:46,160 Speaker 2: food they're eating and then ask AI to calculate the calories. 28 00:01:46,440 --> 00:01:47,720 Speaker 1: That can't be accurate. 29 00:01:48,080 --> 00:01:50,600 Speaker 2: It's not no, it's not, he said. He said, it 30 00:01:50,640 --> 00:01:52,680 Speaker 2: will do. It will do a fairly good job, but 31 00:01:53,360 --> 00:01:56,280 Speaker 2: like if you're if you're really serious about it, it's 32 00:01:56,320 --> 00:01:57,520 Speaker 2: not going to come close. Yeah. 33 00:01:57,840 --> 00:02:00,440 Speaker 1: AI can do stuff, but it can't do everything. 34 00:02:01,400 --> 00:02:03,920 Speaker 2: Well, I never thought of that, and so I said, no, no, no, 35 00:02:03,960 --> 00:02:05,760 Speaker 2: that's not how I'm using it. I said, I'm actually 36 00:02:05,800 --> 00:02:08,640 Speaker 2: weighing all of my food and then I'm asking it 37 00:02:07,800 --> 00:02:11,880 Speaker 2: to give me the information I'm looking for. And he said, oh, 38 00:02:11,919 --> 00:02:15,799 Speaker 2: you're actually you're actually doing a great job. Work first, 39 00:02:16,000 --> 00:02:18,440 Speaker 2: but you need to do so. He gave me a 40 00:02:18,480 --> 00:02:21,200 Speaker 2: good pat on the back. It does have its uses. 41 00:02:21,280 --> 00:02:23,040 Speaker 1: You've got to do the work for it to work, 42 00:02:23,080 --> 00:02:24,520 Speaker 1: which is what today's podcast. 43 00:02:24,200 --> 00:02:26,280 Speaker 2: Is all about, So what is this study that you're citing. 44 00:02:26,400 --> 00:02:29,960 Speaker 1: Okay, so there's some MIT researchers. They found that it's 45 00:02:30,000 --> 00:02:32,680 Speaker 1: not whether you use AI that matters, it's when, so 46 00:02:32,919 --> 00:02:35,120 Speaker 1: that ties in exact with what you're hinting at. They 47 00:02:35,200 --> 00:02:38,560 Speaker 1: tested these two groups. One group used their brain first 48 00:02:38,560 --> 00:02:40,960 Speaker 1: and then used AI, so they did the thinking, they 49 00:02:40,960 --> 00:02:42,960 Speaker 1: did the planning, they did the work, and then they 50 00:02:43,000 --> 00:02:46,880 Speaker 1: plugged it into chat GPT to refine the work. Whereas 51 00:02:47,080 --> 00:02:49,880 Speaker 1: the second group they went, I'm going to use AI 52 00:02:50,200 --> 00:02:51,760 Speaker 1: and then I'm going to try to think about what 53 00:02:51,800 --> 00:02:54,640 Speaker 1: the AI is giving me. So chat GPT then brain 54 00:02:55,360 --> 00:02:59,320 Speaker 1: the brain to AI group. Their EEG scans. Their brain 55 00:02:59,639 --> 00:03:03,040 Speaker 1: scan showed increased neural activity, so there was better attention, 56 00:03:03,160 --> 00:03:06,840 Speaker 1: there was greater planning, more memory processing. And then even 57 00:03:06,880 --> 00:03:09,520 Speaker 1: when they use AI, their brain stayed engaged because they 58 00:03:09,600 --> 00:03:11,120 Speaker 1: knew the work, they knew what they were doing. They 59 00:03:11,200 --> 00:03:14,520 Speaker 1: used their brain first. But the AI first group that 60 00:03:14,600 --> 00:03:17,360 Speaker 1: then used their brain they just never recovered. Even when 61 00:03:17,400 --> 00:03:23,160 Speaker 1: they stopped using AI, their cognitive engagement flatlined. It actually dropped, 62 00:03:23,240 --> 00:03:24,560 Speaker 1: like it just stopped working. 63 00:03:24,840 --> 00:03:27,320 Speaker 2: And that correlated with the conversation I was having with 64 00:03:27,360 --> 00:03:29,320 Speaker 2: my nutrition lists exactly. I said to my I don't 65 00:03:29,320 --> 00:03:32,000 Speaker 2: want to use an app that's just about counting calories 66 00:03:32,040 --> 00:03:35,480 Speaker 2: because I'm still learning. I'm still trying to understand what 67 00:03:35,680 --> 00:03:38,480 Speaker 2: fuels my body and where I'm going to best to 68 00:03:38,480 --> 00:03:41,120 Speaker 2: get those foods from. So when I eat something and 69 00:03:41,160 --> 00:03:43,240 Speaker 2: it says to me, you know what, that's pretty dense 70 00:03:43,280 --> 00:03:46,120 Speaker 2: in calories, right, I can then say to it, what 71 00:03:46,200 --> 00:03:50,360 Speaker 2: would I do differently if I want to still feel satisfied? 72 00:03:51,080 --> 00:03:53,760 Speaker 2: And it's been such a really good tool for me 73 00:03:53,800 --> 00:03:56,240 Speaker 2: to use as I start to understand this process. 74 00:03:56,440 --> 00:04:01,560 Speaker 1: Yeah, So how you enter the AI interaction will determine 75 00:04:02,120 --> 00:04:05,640 Speaker 1: whether or not it improves and amplifies your thinking or 76 00:04:05,680 --> 00:04:11,840 Speaker 1: whether it replaces and subsequently diminishes your thinking. There's a 77 00:04:11,880 --> 00:04:17,280 Speaker 1: difference between thinking with AI and thinking by AI. And 78 00:04:18,560 --> 00:04:20,680 Speaker 1: so Alfie Cone is somebody that I've had on the 79 00:04:20,680 --> 00:04:22,840 Speaker 1: podcast a number of times. You've become a fan because 80 00:04:22,839 --> 00:04:25,159 Speaker 1: you've heard him speak so well. He puts it like this. 81 00:04:25,279 --> 00:04:27,200 Speaker 1: He says, using AI to write for you is like 82 00:04:27,200 --> 00:04:29,120 Speaker 1: bringing a forklift to the gym and having it lift 83 00:04:29,200 --> 00:04:32,320 Speaker 1: weights for you. The weights get lifted, but you don't 84 00:04:32,320 --> 00:04:32,919 Speaker 1: get stronger. 85 00:04:34,360 --> 00:04:38,520 Speaker 2: He also said, by rushing to make use of chat GPT. 86 00:04:39,480 --> 00:04:44,920 Speaker 2: Schools may not just be overestimating the capacities and capabilities 87 00:04:44,920 --> 00:04:49,960 Speaker 2: of artificial intelligent, but underestimating the essence of education. 88 00:04:50,080 --> 00:04:52,560 Speaker 1: Yeah, I like African. The terrifying part for me is 89 00:04:52,560 --> 00:04:55,840 Speaker 1: that schools are legitimately rushing into it. I read a 90 00:04:55,880 --> 00:04:58,760 Speaker 1: recent investigative report in the Australia a couple of weeks ago, 91 00:04:58,880 --> 00:05:03,280 Speaker 1: and oh, my god, goodness, this thing. University has changed 92 00:05:03,279 --> 00:05:05,600 Speaker 1: a lot since I was there, is all I can say. 93 00:05:05,920 --> 00:05:09,120 Speaker 1: They found up to ninety five percent of university students 94 00:05:09,120 --> 00:05:12,479 Speaker 1: are now using AI to complete assignments and exams, and 95 00:05:12,520 --> 00:05:14,680 Speaker 1: not just occasionally, I mean constantly. We've got a couple 96 00:05:14,720 --> 00:05:17,520 Speaker 1: of kids who are at university they do their exams at home. 97 00:05:18,080 --> 00:05:20,960 Speaker 1: Like there's software that monitors whether anyone comes into the 98 00:05:21,040 --> 00:05:23,920 Speaker 1: room or with you achieving apparently, but they're literally doing 99 00:05:23,960 --> 00:05:27,320 Speaker 1: their exams at home. One student, his name was Hayden 100 00:05:27,440 --> 00:05:31,080 Speaker 1: in this Australian report, graduated with a high distinction and 101 00:05:31,480 --> 00:05:33,320 Speaker 1: when he was asked how much of his final year 102 00:05:33,360 --> 00:05:35,920 Speaker 1: he outsourced to AI, he said, and there's a direct 103 00:05:35,960 --> 00:05:39,680 Speaker 1: quote all of it. One hundred percent of my coursework 104 00:05:39,760 --> 00:05:43,840 Speaker 1: and one hundred percent of my exams, So he went 105 00:05:43,839 --> 00:05:46,279 Speaker 1: from being a C average student to an A plus 106 00:05:46,320 --> 00:05:49,039 Speaker 1: student in eighteen. No, he didn't, he didn't get smarter, 107 00:05:49,120 --> 00:05:52,240 Speaker 1: he didn't become an A plus student. Chat GPT did 108 00:05:52,279 --> 00:05:55,200 Speaker 1: the work for him. And I've got a couple of 109 00:05:55,200 --> 00:05:57,280 Speaker 1: friends who are still University of the lecturers. I obviously 110 00:05:57,360 --> 00:06:00,920 Speaker 1: am not lecturing at UNI anymore, but they basically said, yeah, 111 00:06:00,920 --> 00:06:04,560 Speaker 1: we're not actually lecturers anymore. We are human detectors of plagiarism. 112 00:06:04,839 --> 00:06:07,640 Speaker 1: But there's no point pointing out the plagiarism because everybody 113 00:06:07,720 --> 00:06:08,640 Speaker 1: is doing it. 114 00:06:09,200 --> 00:06:12,040 Speaker 2: Yeah. Yeah. A conversation I just recently had with someone 115 00:06:12,120 --> 00:06:14,520 Speaker 2: was the acknowledgment that our schools don't pick up their game, 116 00:06:15,000 --> 00:06:18,440 Speaker 2: that teachers literally lose their roles in the classroom because 117 00:06:18,480 --> 00:06:19,800 Speaker 2: AI is doing everything. 118 00:06:20,240 --> 00:06:22,280 Speaker 1: But here's the thing, though, these students are graduating and 119 00:06:22,320 --> 00:06:24,720 Speaker 1: they are going on to become doctors and engineers and accountants, 120 00:06:25,160 --> 00:06:28,800 Speaker 1: and they have degrees that they did not earn. You've 121 00:06:28,800 --> 00:06:31,440 Speaker 1: got pilots who, well, I guess you've got to get 122 00:06:31,440 --> 00:06:32,960 Speaker 1: into the plane and know how to fly the thing. 123 00:06:33,000 --> 00:06:36,279 Speaker 1: But I think that it's terrifying. I just I think 124 00:06:36,279 --> 00:06:37,480 Speaker 1: that it's really really worrying. 125 00:06:37,839 --> 00:06:40,080 Speaker 2: So are we just talking about university study here. 126 00:06:40,560 --> 00:06:44,080 Speaker 1: No. In that same report, in this train's analysis, they 127 00:06:44,200 --> 00:06:47,559 Speaker 1: talked to a thirteen year old boy named Cameron. He said, 128 00:06:47,640 --> 00:06:50,080 Speaker 1: in year eight, about twenty four out of twenty five 129 00:06:50,160 --> 00:06:53,560 Speaker 1: kids in my class use AI for everything. My teachers 130 00:06:53,560 --> 00:06:55,880 Speaker 1: don't blink an eye if I get one hundred percent, 131 00:06:56,040 --> 00:06:59,400 Speaker 1: I don't even bother to fake wrong answers anymore. Oh 132 00:06:59,440 --> 00:07:01,919 Speaker 1: my goodness. So I would say that schools are not 133 00:07:01,960 --> 00:07:03,839 Speaker 1: just ignoring it. I would say schools are enabling it. 134 00:07:04,160 --> 00:07:06,160 Speaker 1: You've got surveys showing that forty to sixty percent of 135 00:07:06,200 --> 00:07:09,360 Speaker 1: teachers are now using AI to create their lessons, and 136 00:07:09,640 --> 00:07:11,920 Speaker 1: get this, they're using AI to great assignments. 137 00:07:12,800 --> 00:07:15,800 Speaker 2: So I was under the impression, based on what teachers 138 00:07:15,800 --> 00:07:18,040 Speaker 2: have told our children in the past, that they actually 139 00:07:18,120 --> 00:07:21,440 Speaker 2: had software that could determine whether or not their students 140 00:07:22,200 --> 00:07:25,960 Speaker 2: had used AI and what percentage of their work was 141 00:07:26,080 --> 00:07:29,840 Speaker 2: AI generated. Is that not the case? 142 00:07:30,240 --> 00:07:32,160 Speaker 1: It is, but a lot of teachers aren't doing anything 143 00:07:32,200 --> 00:07:35,200 Speaker 1: about it. They're just leaving it b and therefore nobody's thinking, 144 00:07:35,280 --> 00:07:38,680 Speaker 1: noybody's learning. It gets worse as well. There was a 145 00:07:38,680 --> 00:07:42,600 Speaker 1: study that was published in January last year January twenty 146 00:07:42,640 --> 00:07:46,320 Speaker 1: twenty five in so the Lands, it's a good, high 147 00:07:46,400 --> 00:07:49,679 Speaker 1: quality medical journal. They found that doctors who used AI 148 00:07:49,720 --> 00:07:53,560 Speaker 1: tools regularly became less skilled within six months. So they're 149 00:07:53,600 --> 00:07:57,560 Speaker 1: diagnosed as accuracy dropped when AI was taken away from them. 150 00:07:58,000 --> 00:08:01,640 Speaker 1: They became over a line, they became less focused, they 151 00:08:01,640 --> 00:08:05,280 Speaker 1: became less motivated to think critically. And so if that's 152 00:08:05,280 --> 00:08:08,080 Speaker 1: what's happening to doctors, this is what's happening to our 153 00:08:08,120 --> 00:08:11,280 Speaker 1: children's brains as well, turning to mush brain rot. 154 00:08:12,480 --> 00:08:16,200 Speaker 2: Perhaps this is an obvious question, but why are kids 155 00:08:16,280 --> 00:08:16,600 Speaker 2: doing it? 156 00:08:16,640 --> 00:08:18,080 Speaker 1: If you're a student, why would you do it? 157 00:08:18,640 --> 00:08:19,880 Speaker 2: Because I don't want to do the work. 158 00:08:20,000 --> 00:08:21,640 Speaker 1: Yeah, So I think that's the number one thing I 159 00:08:21,720 --> 00:08:23,640 Speaker 1: keep on talking to teachers in staff PD that I 160 00:08:23,680 --> 00:08:26,160 Speaker 1: do around the country. If the work doesn't feel like 161 00:08:26,160 --> 00:08:28,120 Speaker 1: it has any purpose, you can't expect the students to 162 00:08:28,160 --> 00:08:29,800 Speaker 1: be motivated to do it, full stop, end of story. 163 00:08:29,880 --> 00:08:32,760 Speaker 1: No matter no matter what you do, if students do 164 00:08:32,800 --> 00:08:35,120 Speaker 1: not see some value, some purpose in the work, they 165 00:08:35,120 --> 00:08:37,800 Speaker 1: are not going to have any desire to be there 166 00:08:37,920 --> 00:08:38,760 Speaker 1: and to be doing it. 167 00:08:39,280 --> 00:08:43,360 Speaker 2: So, for me, the hardest part of any project is 168 00:08:43,400 --> 00:08:44,640 Speaker 2: actually starting getting started. 169 00:08:44,720 --> 00:08:47,400 Speaker 1: Yeah, that's right. Literally yeap break through the Earth's gravitational 170 00:08:47,440 --> 00:08:50,479 Speaker 1: pull like the Space Shuttle ten minutes of massive energy expenditure, 171 00:08:50,640 --> 00:08:52,839 Speaker 1: and then you're in orbit and you're firing. But getting 172 00:08:52,880 --> 00:08:56,679 Speaker 1: the kids out out of the atmosphere and into orbit 173 00:08:57,360 --> 00:08:57,920 Speaker 1: hardest thing. 174 00:08:58,240 --> 00:09:01,320 Speaker 2: And so a couple of times I've actually is AI 175 00:09:02,040 --> 00:09:05,679 Speaker 2: to just generate a starting point for me, because I 176 00:09:05,840 --> 00:09:06,640 Speaker 2: just I can't. 177 00:09:08,160 --> 00:09:10,200 Speaker 1: That's that's an unusual thing, though, because usually once it 178 00:09:10,240 --> 00:09:11,960 Speaker 1: starts for you, I'll give you another prompt like would 179 00:09:11,960 --> 00:09:13,360 Speaker 1: you like me to do this next? And it makes 180 00:09:13,360 --> 00:09:14,199 Speaker 1: you fairl I say. 181 00:09:14,400 --> 00:09:16,440 Speaker 2: I say, well, I kind of like the gist, but 182 00:09:17,040 --> 00:09:19,319 Speaker 2: this isn't me and so then I throw back my 183 00:09:19,440 --> 00:09:21,240 Speaker 2: ideas and I'm like I like this better. 184 00:09:21,559 --> 00:09:24,199 Speaker 1: Yeah, But the conversation continues and it feels like you're 185 00:09:24,240 --> 00:09:26,160 Speaker 1: doing the work, but the AI is actually doing the work. 186 00:09:26,160 --> 00:09:29,440 Speaker 1: You're just arguing with the AI. So I've used AI 187 00:09:29,520 --> 00:09:31,120 Speaker 1: a lot over the last little while. I don't use 188 00:09:31,120 --> 00:09:33,679 Speaker 1: it for my writing anymore. I just refuse to. I 189 00:09:34,280 --> 00:09:36,160 Speaker 1: absolutely make sure that I've done the work first. If 190 00:09:36,200 --> 00:09:38,720 Speaker 1: there's something really really important or something that I really 191 00:09:38,720 --> 00:09:41,280 Speaker 1: need to refine, I'll ask it to do some refining 192 00:09:41,320 --> 00:09:44,160 Speaker 1: for me. But I will not let it do the 193 00:09:44,200 --> 00:09:47,480 Speaker 1: work for me anymore because it sounds like AI. And 194 00:09:47,520 --> 00:09:49,640 Speaker 1: I've been really public about not wanting to sound like 195 00:09:49,679 --> 00:09:51,560 Speaker 1: AI because too many people out there are using it 196 00:09:51,600 --> 00:09:53,959 Speaker 1: and they you can't even read an opinion piece in 197 00:09:54,000 --> 00:09:56,640 Speaker 1: the newspaper. Now it's all done by AI. Let me 198 00:09:56,679 --> 00:09:58,600 Speaker 1: go back to why else they're using it? Everyone else 199 00:09:58,640 --> 00:10:01,040 Speaker 1: is doing it. Not only is a purpose thing, but 200 00:10:01,080 --> 00:10:03,760 Speaker 1: everyone else is doing it. And actually, I think schools 201 00:10:03,760 --> 00:10:06,360 Speaker 1: are encouraging it. I think teachers are using it, administrators 202 00:10:06,400 --> 00:10:08,720 Speaker 1: and pushing it. Tech companies are profiting from it. It's 203 00:10:08,760 --> 00:10:11,720 Speaker 1: in big text interest for the kids to be using it. 204 00:10:11,760 --> 00:10:14,240 Speaker 1: So after the break, a couple of quick minutes on 205 00:10:14,360 --> 00:10:16,640 Speaker 1: what we can do the solution, what we're supposed to 206 00:10:16,640 --> 00:10:20,400 Speaker 1: do to help our kids to navigate a new world 207 00:10:20,960 --> 00:10:23,720 Speaker 1: of AI in a way that does not rock their brains. 208 00:10:23,960 --> 00:10:33,480 Speaker 1: Stay with us. We're back. It's the Happy Families Podcast. 209 00:10:33,520 --> 00:10:35,320 Speaker 1: If you're enjoying the pod, please like it, share it, 210 00:10:35,400 --> 00:10:38,079 Speaker 1: leave a rating and review, tell people about it. It's 211 00:10:38,080 --> 00:10:40,640 Speaker 1: how we get the word out and make families happier. 212 00:10:41,000 --> 00:10:45,360 Speaker 2: So you're suggesting you have some solutions and some scripts both. 213 00:10:45,440 --> 00:10:49,640 Speaker 1: I have both. The MIT study is really clear. Use 214 00:10:49,679 --> 00:10:52,559 Speaker 1: your brain first, then use AI that works. Use AI first, 215 00:10:52,559 --> 00:10:55,120 Speaker 1: then use your brain that doesn't work. So the rule 216 00:10:55,120 --> 00:10:56,640 Speaker 1: that I think that everyone should have in their houses 217 00:10:56,679 --> 00:11:00,880 Speaker 1: as follows. Before you touch chat GPT, you must attempt 218 00:11:01,000 --> 00:11:04,920 Speaker 1: the problem yourself. We call this productive struggle. We call 219 00:11:04,960 --> 00:11:10,480 Speaker 1: it developing distress tolerance or frustration tolerance. When kids struggle 220 00:11:10,520 --> 00:11:13,600 Speaker 1: with things, when they write an awful first draft, when 221 00:11:13,600 --> 00:11:17,120 Speaker 1: they try and when they fail, that's where the learning happens. 222 00:11:17,280 --> 00:11:19,800 Speaker 1: And then, and only then can you use AI either 223 00:11:19,840 --> 00:11:22,400 Speaker 1: to refine or challenge or extend your thinking, not to 224 00:11:22,440 --> 00:11:25,520 Speaker 1: replace your thinking, to amplify it. Even then, I think 225 00:11:25,520 --> 00:11:27,040 Speaker 1: that we want to be hesitant. I think we want 226 00:11:27,080 --> 00:11:30,160 Speaker 1: to be really really careful with this. I'd rather the 227 00:11:30,200 --> 00:11:31,960 Speaker 1: students do all of it. 228 00:11:32,559 --> 00:11:34,239 Speaker 2: So what does this look like in practice? 229 00:11:35,640 --> 00:11:38,680 Speaker 1: Let me give you a prompt. I've jotted down a 230 00:11:38,679 --> 00:11:41,080 Speaker 1: prompt here. This is the recall prompt, so you could 231 00:11:41,120 --> 00:11:44,319 Speaker 1: prompt AI as follows. Before you give me any suggestions 232 00:11:44,320 --> 00:11:47,360 Speaker 1: on how I can improve this, I need to demonstrate 233 00:11:47,400 --> 00:11:50,439 Speaker 1: my current understanding. So you tell the AI, you tell 234 00:11:50,520 --> 00:11:55,200 Speaker 1: chat Claude and whatever it is Gemini, ask me to 235 00:11:55,240 --> 00:11:59,120 Speaker 1: recall and explain my main thesis, the supporting evidence, and 236 00:11:59,160 --> 00:12:02,679 Speaker 1: my biggest concern earns from memory, and don't give me 237 00:12:02,760 --> 00:12:06,679 Speaker 1: any new input until I've successfully articulated these three things. Now, 238 00:12:06,720 --> 00:12:08,200 Speaker 1: I don't think many students are going to do that. 239 00:12:08,480 --> 00:12:10,199 Speaker 2: Well, that's a mouthful. 240 00:12:10,920 --> 00:12:14,199 Speaker 1: You're basically saying, make me tell you what I'm going 241 00:12:14,240 --> 00:12:18,200 Speaker 1: to do in detail before you give me any prompts, 242 00:12:18,240 --> 00:12:20,959 Speaker 1: before you give me any new input. Before you let's 243 00:12:21,000 --> 00:12:22,160 Speaker 1: make sure that I'm understanding. 244 00:12:22,520 --> 00:12:23,320 Speaker 2: Then why would you bother? 245 00:12:24,240 --> 00:12:26,960 Speaker 1: Well, you would bother because then you can do the 246 00:12:27,040 --> 00:12:29,840 Speaker 1: second prompt that I've got, and that is the challenge prompt. Okay, 247 00:12:29,840 --> 00:12:31,640 Speaker 1: so the first one's about recall. The second one is 248 00:12:31,640 --> 00:12:35,160 Speaker 1: about challenge. I've written this essay. I've demonstrated that I 249 00:12:35,160 --> 00:12:37,400 Speaker 1: know what I'm talking about here. I don't want you 250 00:12:37,440 --> 00:12:39,839 Speaker 1: to rewrite it. I want you to ask me three 251 00:12:39,920 --> 00:12:43,720 Speaker 1: hard questions that expose weaknesses in my argument make me 252 00:12:44,040 --> 00:12:48,520 Speaker 1: defend my thinking. So if you use chat GPT or 253 00:12:48,640 --> 00:12:52,559 Speaker 1: Claude or Gemini or any of the others like that, 254 00:12:52,559 --> 00:12:55,199 Speaker 1: that's going to deepen and amplify thinking. That's going to 255 00:12:55,240 --> 00:12:57,240 Speaker 1: make you better. It's like if I'm going to say 256 00:12:57,520 --> 00:12:59,440 Speaker 1: I've got this exam coming up. Here's all the material 257 00:12:59,480 --> 00:13:01,600 Speaker 1: that I need to hit me with ten questions. 258 00:13:01,679 --> 00:13:04,400 Speaker 2: Yeah, but human nature is to find the path of 259 00:13:04,559 --> 00:13:06,040 Speaker 2: least resistance. 260 00:13:05,679 --> 00:13:07,600 Speaker 1: Not necessarily. Look at the way you're working out in 261 00:13:07,640 --> 00:13:09,559 Speaker 1: the gym. You're not going for the path of least resistance. 262 00:13:09,600 --> 00:13:11,720 Speaker 1: That's sitting on the cutch eating chocolate chip cookies and 263 00:13:11,760 --> 00:13:13,000 Speaker 1: milk and watching TV. 264 00:13:13,400 --> 00:13:15,920 Speaker 2: Yes, but I'm going against my nature because my nature 265 00:13:15,920 --> 00:13:17,520 Speaker 2: would tell me to do exactly that. 266 00:13:18,040 --> 00:13:20,280 Speaker 1: Nature or not, You're making a decision to be effortfull. 267 00:13:20,320 --> 00:13:22,160 Speaker 1: And what I'm arguing is that the effort pays off. 268 00:13:22,200 --> 00:13:24,679 Speaker 1: You're seeing the effort paying off and you're glad for it. 269 00:13:24,840 --> 00:13:27,320 Speaker 1: Children students are going to struggle to see the effort 270 00:13:27,320 --> 00:13:29,400 Speaker 1: paying off. They just see all their friends doing nothing 271 00:13:29,400 --> 00:13:32,679 Speaker 1: and then hanging out on Fortnite or Roadblocks or Discord, 272 00:13:32,920 --> 00:13:34,600 Speaker 1: and they're like, well, I just want to use Chat 273 00:13:34,640 --> 00:13:36,559 Speaker 1: as well. I just want to use AI as well. 274 00:13:36,960 --> 00:13:40,839 Speaker 1: This is going to damage their brains. So here's the 275 00:13:41,640 --> 00:13:44,800 Speaker 1: script for the kids. I know skill feels like it's 276 00:13:44,880 --> 00:13:47,480 Speaker 1: jumping through hoops. I know everyone's using AI. I know 277 00:13:47,559 --> 00:13:51,080 Speaker 1: it's faster, I know it's easier, but you're trading away 278 00:13:51,200 --> 00:13:55,800 Speaker 1: your ability to think. Right now, your brain is using 279 00:13:56,040 --> 00:13:58,040 Speaker 1: developing neural pathways that you're going to use for the 280 00:13:58,080 --> 00:14:01,120 Speaker 1: rest of your life. And every time you let CHAT 281 00:14:01,160 --> 00:14:05,320 Speaker 1: GPT think for you, the pathways don't form. So then 282 00:14:05,360 --> 00:14:07,480 Speaker 1: you can use Alfie Cone. It's like taking a forklift 283 00:14:07,480 --> 00:14:10,120 Speaker 1: to the gym. The ways are getting lifted, but you're 284 00:14:10,160 --> 00:14:12,559 Speaker 1: not getting any stronger. So just say to the kids 285 00:14:12,600 --> 00:14:16,600 Speaker 1: you can use AI, yes, but brain first. Always no shortcuts, 286 00:14:16,720 --> 00:14:19,160 Speaker 1: because what happens when you're a doctor and you can't 287 00:14:19,160 --> 00:14:24,200 Speaker 1: diagnose without chat GPT, without the AI, it's going to 288 00:14:24,200 --> 00:14:27,640 Speaker 1: be a disaster. That's the conversation to have with the kids. 289 00:14:29,000 --> 00:14:31,520 Speaker 1: Low probability play. I don't think that it's going to 290 00:14:31,600 --> 00:14:33,680 Speaker 1: work for everybody, but it's the best that I've got 291 00:14:33,760 --> 00:14:35,240 Speaker 1: because this is a tough problem. 292 00:14:35,800 --> 00:14:37,720 Speaker 2: What would you say to schools if you're struggling with 293 00:14:37,760 --> 00:14:38,920 Speaker 2: this in the classroom? 294 00:14:39,000 --> 00:14:44,000 Speaker 1: Oh, I would say to schools to go analog, not digital, 295 00:14:44,840 --> 00:14:47,440 Speaker 1: and I would say teach exactly the same principle. I 296 00:14:47,440 --> 00:14:50,720 Speaker 1: would also school leaders are unlikely to listen to parents 297 00:14:50,720 --> 00:14:52,320 Speaker 1: around this. But what I would also say is that 298 00:14:52,360 --> 00:14:54,640 Speaker 1: I would be demanding face to face exams don't let 299 00:14:54,680 --> 00:14:57,520 Speaker 1: anything happen online with schools. That's likely to happen anyway, right, 300 00:14:57,560 --> 00:14:59,800 Speaker 1: everyone's at school. It's not like they're doing exams from home. 301 00:15:00,120 --> 00:15:03,920 Speaker 1: I would be demanding oral assessments, more kids standing up 302 00:15:03,920 --> 00:15:06,160 Speaker 1: and learning how to articulate in front of an audience. 303 00:15:06,200 --> 00:15:07,800 Speaker 1: I think it's one of the most important skills they 304 00:15:07,800 --> 00:15:09,760 Speaker 1: can have anyway, Like for your student, your child, to 305 00:15:09,760 --> 00:15:12,200 Speaker 1: be able to do that, that's a powerful skill. And 306 00:15:12,240 --> 00:15:15,960 Speaker 1: we don't do enough oral stuff. And I'd be looking 307 00:15:16,000 --> 00:15:20,560 Speaker 1: for assignments that do not just require text output like 308 00:15:20,600 --> 00:15:22,520 Speaker 1: an essay or a lab report. I'd be looking for 309 00:15:22,800 --> 00:15:28,880 Speaker 1: assignments that require a demonstration of human involvement. They would 310 00:15:28,880 --> 00:15:30,960 Speaker 1: be the things that I'd be looking for. My sense 311 00:15:31,040 --> 00:15:33,040 Speaker 1: is that a lot of teachers are just horrified by 312 00:15:33,040 --> 00:15:37,160 Speaker 1: what's happening, but they feel completely and utterly powerless. But 313 00:15:37,200 --> 00:15:38,840 Speaker 1: that's the standard, and I think schools should be held 314 00:15:38,880 --> 00:15:39,160 Speaker 1: to it. 315 00:15:39,560 --> 00:15:43,800 Speaker 2: So I guess, ultimately, just like all of the challenges 316 00:15:43,800 --> 00:15:46,680 Speaker 2: that we have in family life, they're watching us, they're 317 00:15:46,680 --> 00:15:50,280 Speaker 2: watching how we're interacting with things, and AI is no different. 318 00:15:50,360 --> 00:15:54,680 Speaker 2: Whether it's social media technology in general or artificial intelligence. 319 00:15:55,080 --> 00:15:57,120 Speaker 2: It's an opportunity for us to just take stock of 320 00:15:57,120 --> 00:16:01,960 Speaker 2: how we're using it and ensuring that where modeling a 321 00:16:02,120 --> 00:16:04,320 Speaker 2: positive experience for everybody. 322 00:16:04,480 --> 00:16:07,160 Speaker 1: Yeah, here's what's at stake. We are raising a generation 323 00:16:07,600 --> 00:16:10,680 Speaker 1: that may I don't want to sound too alarmist, I'm 324 00:16:10,680 --> 00:16:12,320 Speaker 1: going to say, may never learn to think critically. That's 325 00:16:12,320 --> 00:16:15,720 Speaker 1: probably going too far, but we're certainly handicapping their ability 326 00:16:15,760 --> 00:16:19,640 Speaker 1: to think critically, solve problems, independently, engage deeply with ideas. 327 00:16:20,040 --> 00:16:22,840 Speaker 2: But I don't think we can blame AI on that entirely. 328 00:16:22,920 --> 00:16:24,560 Speaker 2: I think that that's been coming up for a long 329 00:16:24,640 --> 00:16:27,840 Speaker 2: time in our school system based on the current model 330 00:16:27,880 --> 00:16:28,480 Speaker 2: we're working with. 331 00:16:28,720 --> 00:16:32,160 Speaker 1: Yeah, yeah, no doubt. The challenge really though, is let's 332 00:16:32,160 --> 00:16:34,920 Speaker 1: get our kids thinking. So I would suggest this before 333 00:16:34,960 --> 00:16:38,000 Speaker 1: your child uses AI for anything, whether it's their schoolwork 334 00:16:38,160 --> 00:16:40,080 Speaker 1: or something they're writing, whatever it is, they just have 335 00:16:40,120 --> 00:16:43,960 Speaker 1: to attempt to themselves first, brain first, then AI. That's 336 00:16:44,000 --> 00:16:46,720 Speaker 1: the order always, and if they push back, just remind them. 337 00:16:47,200 --> 00:16:50,480 Speaker 1: The forklift lifts the weights, but you don't get stronger. 338 00:16:50,720 --> 00:16:53,080 Speaker 1: You choose do you want to think or do you 339 00:16:53,080 --> 00:16:55,920 Speaker 1: want a machine to think for you? Because once you 340 00:16:55,960 --> 00:16:59,840 Speaker 1: lose that ability to think, it's really really hard, to dive, 341 00:17:00,480 --> 00:17:03,120 Speaker 1: to refine it, to build on it. Okay, that's it 342 00:17:03,200 --> 00:17:05,480 Speaker 1: for today. Thank you so much for listening. We hope 343 00:17:05,520 --> 00:17:09,119 Speaker 1: that this has been an informative and encouraging conversation. The 344 00:17:09,160 --> 00:17:12,440 Speaker 1: Happy Family's podcast is produced by Justin Ruland from Bridge Media, 345 00:17:12,520 --> 00:17:15,280 Speaker 1: with Muhammed's providing additional support. If you'd like more offer 346 00:17:15,359 --> 00:17:17,520 Speaker 1: to make your family happy, visit happy families dot com 347 00:17:17,520 --> 00:17:17,840 Speaker 1: dot au