1 00:00:01,320 --> 00:00:03,240 Speaker 1: And Amanda jam Nation. 2 00:00:03,560 --> 00:00:06,800 Speaker 2: It does I beg the question we'd chat GPT if 3 00:00:06,840 --> 00:00:08,920 Speaker 2: you can do it for scanned up comedy orbe it 4 00:00:09,039 --> 00:00:12,280 Speaker 2: not great? What about breakfast radio shows or radio shows 5 00:00:12,280 --> 00:00:15,320 Speaker 2: in general, because more and more we are being replaced 6 00:00:15,680 --> 00:00:18,079 Speaker 2: And when I started in radio, there was like a 7 00:00:18,200 --> 00:00:21,280 Speaker 2: litany of announcers across the day through the night. Now 8 00:00:21,320 --> 00:00:22,240 Speaker 2: there's one left. 9 00:00:22,360 --> 00:00:23,800 Speaker 1: But they're not replaced just us here. 10 00:00:23,960 --> 00:00:27,680 Speaker 3: They're not replaced yet by AI. But for how long 11 00:00:28,200 --> 00:00:29,440 Speaker 3: digital Jenna has joined us? 12 00:00:29,440 --> 00:00:29,680 Speaker 1: Hello? 13 00:00:29,880 --> 00:00:34,640 Speaker 3: Hello, So if you typed in breakfast show Jones and Amanda, 14 00:00:34,840 --> 00:00:38,239 Speaker 3: it would analyze things we've said in the past and 15 00:00:38,280 --> 00:00:41,120 Speaker 3: get a sense of our personalities and put that into 16 00:00:41,120 --> 00:00:41,720 Speaker 3: certain topics. 17 00:00:41,800 --> 00:00:42,840 Speaker 1: Is that what it does? Yep? 18 00:00:42,920 --> 00:00:46,080 Speaker 4: Yep. So it pretty much grabs all the information that 19 00:00:46,120 --> 00:00:51,400 Speaker 4: we've publicly made available on the Internet and through its algorithm, 20 00:00:51,600 --> 00:00:53,880 Speaker 4: spits out what we want. 21 00:00:53,600 --> 00:00:55,320 Speaker 1: So in real time pretty much. 22 00:00:55,560 --> 00:00:58,920 Speaker 3: So it can scan our entire history of everything we've 23 00:00:58,960 --> 00:01:01,880 Speaker 3: ever said in real time and spit out a conversation 24 00:01:01,960 --> 00:01:03,600 Speaker 3: between the two of us, and if you typed it 25 00:01:03,600 --> 00:01:05,440 Speaker 3: in ten times, you get ten different conversations. 26 00:01:05,520 --> 00:01:05,759 Speaker 1: Yeah. 27 00:01:05,800 --> 00:01:08,880 Speaker 4: So, for instance, I can write in write a script 28 00:01:08,959 --> 00:01:11,880 Speaker 4: for a segment on Jonesy and Amanda. Not a challenge 29 00:01:11,959 --> 00:01:16,080 Speaker 4: or competition, just their fun, easygoing morning chat style, make 30 00:01:16,120 --> 00:01:21,600 Speaker 4: it topical, relatable and it spits out things instantly. So 31 00:01:21,680 --> 00:01:24,920 Speaker 4: I've got a few examples. I've just done it. We've 32 00:01:24,959 --> 00:01:28,760 Speaker 4: got Jonesy and Amanda newsbreak, Middle East Update, but let's 33 00:01:28,880 --> 00:01:29,600 Speaker 4: keep it real. 34 00:01:31,040 --> 00:01:31,480 Speaker 1: Wow. 35 00:01:31,640 --> 00:01:34,920 Speaker 4: We've also got DIY disasters when you should have called 36 00:01:34,920 --> 00:01:39,080 Speaker 4: a trady. We've got when nature calls loudly? 37 00:01:41,840 --> 00:01:43,800 Speaker 3: Is it that these topics it has come up with? 38 00:01:44,080 --> 00:01:46,240 Speaker 3: I mean, when nature calls loudly, isn't it thing you've 39 00:01:46,240 --> 00:01:46,759 Speaker 3: typed in? 40 00:01:46,959 --> 00:01:50,040 Speaker 4: No? No, it may we talk about just it slightly? 41 00:01:51,880 --> 00:01:54,920 Speaker 1: Is at the time you're a poo jogger I knew 42 00:01:55,080 --> 00:01:55,600 Speaker 1: to come back to. 43 00:01:56,440 --> 00:01:59,160 Speaker 4: We've also got twenty twenty five Gold Loge nominees, Who's in, 44 00:01:59,200 --> 00:02:03,160 Speaker 4: Who's out? Who'sble? And Amanda's flat tire fiasco? 45 00:02:03,440 --> 00:02:04,720 Speaker 1: Okay, and last but. 46 00:02:04,760 --> 00:02:07,240 Speaker 4: Not least, Kyle Sandalands. 47 00:02:08,000 --> 00:02:09,400 Speaker 1: Are we going to start World War three? 48 00:02:09,560 --> 00:02:11,640 Speaker 2: We haven't mentioned chat. 49 00:02:11,400 --> 00:02:15,440 Speaker 3: GPT is going to start World War three? Between us? 50 00:02:15,480 --> 00:02:19,519 Speaker 2: Can you put all those words into the chat GPT? 51 00:02:20,440 --> 00:02:21,080 Speaker 2: What else is it. 52 00:02:21,800 --> 00:02:23,480 Speaker 1: That'll do us when we come back? 53 00:02:23,560 --> 00:02:25,040 Speaker 3: Let's have a look at what it thinks you and 54 00:02:25,080 --> 00:02:27,600 Speaker 3: I are going to say about those things. 55 00:02:27,600 --> 00:02:30,760 Speaker 2: And we have to read it verbatia. To read it verbatim, 56 00:02:30,880 --> 00:02:32,560 Speaker 2: that means as it's written, Ryan. 57 00:02:35,360 --> 00:02:37,120 Speaker 3: Well, a lot of people are using it from a 58 00:02:37,120 --> 00:02:39,280 Speaker 3: lot of jobs, a lot of industries are shifting because 59 00:02:39,280 --> 00:02:42,840 Speaker 3: of it. So it's friend to some enemy to others. 60 00:02:43,400 --> 00:02:46,480 Speaker 3: We spoke to Jenna before and she has put into 61 00:02:46,639 --> 00:02:51,079 Speaker 3: chat GPT Jonesy and Amanda, so it's gleaned from all 62 00:02:51,120 --> 00:02:53,320 Speaker 3: of the Internet, all the stuff we've ever talked about. 63 00:02:53,520 --> 00:02:55,799 Speaker 3: And she's given it a number of topics, and there's 64 00:02:55,840 --> 00:02:57,560 Speaker 3: six or seven of them here. But let's just pick 65 00:02:57,600 --> 00:03:00,800 Speaker 3: one and let's read out how it's thinks we would 66 00:03:00,840 --> 00:03:03,760 Speaker 3: do this topic. This is what chat GPT thinks we 67 00:03:03,840 --> 00:03:07,720 Speaker 3: sound like. This is the Middle East, one of all 68 00:03:07,760 --> 00:03:08,760 Speaker 3: the most do Middle. 69 00:03:08,480 --> 00:03:12,800 Speaker 2: East news break, Middle East update brackets. But let's keep it, let's. 70 00:03:12,639 --> 00:03:14,400 Speaker 3: Keep it real, all right, So this is how it goes. 71 00:03:14,800 --> 00:03:18,200 Speaker 3: These aren't our thoughts. This is chat GPT thinking. This 72 00:03:18,280 --> 00:03:21,920 Speaker 3: is what we'd say, Jonesy. Before we dive back into 73 00:03:21,919 --> 00:03:25,840 Speaker 3: the fun, gotta give a quick shout out about what's 74 00:03:25,880 --> 00:03:29,440 Speaker 3: going on over in the Middle East. It's been pretty 75 00:03:29,440 --> 00:03:32,680 Speaker 3: heavy news lately. Lots of serious stuff happening that's hard 76 00:03:32,680 --> 00:03:33,240 Speaker 3: to ignore. 77 00:03:33,639 --> 00:03:35,720 Speaker 2: Yeah, it's a real reminder the world's got some wild 78 00:03:35,720 --> 00:03:38,160 Speaker 2: stuff going on, even when we're just trying to enjoy 79 00:03:38,160 --> 00:03:41,600 Speaker 2: our morning Kappa and a maybe a cheeky scon. 80 00:03:42,320 --> 00:03:45,080 Speaker 1: When have we ever said that exactly? 81 00:03:45,120 --> 00:03:47,520 Speaker 3: I say makes you want to hug your dog a 82 00:03:47,520 --> 00:03:50,640 Speaker 3: little tighter, or appreciate that your biggest drama today might 83 00:03:50,680 --> 00:03:52,120 Speaker 3: be a dodgy coffee machine. 84 00:03:52,160 --> 00:03:55,280 Speaker 2: And hey, hey, if the world feel to have a 85 00:03:55,320 --> 00:03:58,920 Speaker 2: scan a bit much right now, it's okay to step back, 86 00:03:59,040 --> 00:04:02,280 Speaker 2: have a laugh, maybe put on some ridiculous dance moves 87 00:04:02,280 --> 00:04:06,240 Speaker 2: in the kitchen. Trust me, that's therapeutic, oh for sure. 88 00:04:06,880 --> 00:04:08,880 Speaker 3: And while the serious stuff is happening, there are still 89 00:04:08,960 --> 00:04:11,920 Speaker 3: heaps of good vibes out there, What like the local 90 00:04:11,960 --> 00:04:14,960 Speaker 3: cafe down the road donating free coffees to healthcare workers. 91 00:04:15,200 --> 00:04:16,760 Speaker 3: That's the kind of thing that gives you hope. 92 00:04:17,040 --> 00:04:19,839 Speaker 2: Love that. So yeah, stay informed, but don't forget to 93 00:04:19,880 --> 00:04:21,279 Speaker 2: find those moments of joy. 94 00:04:21,560 --> 00:04:23,640 Speaker 1: Where does Brendan Jones ever said that? 95 00:04:24,000 --> 00:04:24,279 Speaker 2: God? 96 00:04:24,800 --> 00:04:27,880 Speaker 3: All right, enough serious chat, let's get back to some 97 00:04:28,000 --> 00:04:30,160 Speaker 3: tunes that'll lift your spirits right now. 98 00:04:29,960 --> 00:04:31,479 Speaker 2: Before we move on. I just want to give a 99 00:04:31,480 --> 00:04:34,640 Speaker 2: big shaner to Aaron Molan over in Israel right now. 100 00:04:34,680 --> 00:04:36,880 Speaker 1: Wow, eron, mate, eron, mate. 101 00:04:36,800 --> 00:04:40,520 Speaker 2: Hope you're keeping safe and doing your usual Aussi thing, 102 00:04:40,640 --> 00:04:44,000 Speaker 2: strong and making us proud no matter where you are 103 00:04:44,040 --> 00:04:47,279 Speaker 2: in the world. Keep the famous smile going erin. We're 104 00:04:47,320 --> 00:04:48,720 Speaker 2: all rooting for you here. 105 00:04:49,279 --> 00:04:53,640 Speaker 1: So that is chat GPT. You know, when are we 106 00:04:53,680 --> 00:04:57,880 Speaker 1: going to have maybe a cheeky scone. So look, that's 107 00:04:58,000 --> 00:04:58,560 Speaker 1: very interesting. 108 00:04:58,640 --> 00:05:01,800 Speaker 3: Chat GPT is not going to solve the world's problems, 109 00:05:01,920 --> 00:05:03,560 Speaker 3: is not going to replace you and I Brendan 110 00:05:03,600 --> 00:05:07,000 Speaker 1: I hope when is the route and start type it 111 00:05:07,040 --> 00:05:07,640 Speaker 1: in and see