1 00:00:00,240 --> 00:00:03,120 Speaker 1: This is the fits in with with Cake Richie podcast 2 00:00:03,400 --> 00:00:07,160 Speaker 1: AI as Tommy's just chewed our ears off during that song, 3 00:00:07,600 --> 00:00:10,280 Speaker 1: saying that five hundred mil of water gets burnt every 4 00:00:10,360 --> 00:00:14,040 Speaker 1: question asked, one bottle of water. 5 00:00:13,800 --> 00:00:14,680 Speaker 2: Telling your story. 6 00:00:14,840 --> 00:00:18,600 Speaker 3: One bottle of fresh water for every everything, every question 7 00:00:18,680 --> 00:00:19,040 Speaker 3: you ask. 8 00:00:20,320 --> 00:00:22,320 Speaker 2: So you mean cooling the servers down. 9 00:00:23,520 --> 00:00:26,520 Speaker 4: But see then, Tommy, I'm visualizing that there's one person 10 00:00:26,560 --> 00:00:29,280 Speaker 4: there that's opening a bottle of water every time another 11 00:00:29,400 --> 00:00:30,200 Speaker 4: question comes in. 12 00:00:30,280 --> 00:00:33,680 Speaker 2: It's not a bottle of water, it's another question they 13 00:00:33,720 --> 00:00:34,160 Speaker 2: had to get. 14 00:00:34,280 --> 00:00:37,639 Speaker 1: They had to get Andy from the fire Festival documentary to. 15 00:00:37,560 --> 00:00:42,879 Speaker 2: Get the water off the truck. Yeah, Tommy, that the 16 00:00:42,920 --> 00:00:44,960 Speaker 2: water is used to cool the servers. 17 00:00:45,040 --> 00:00:48,000 Speaker 5: Yeah, exactly so, because otherwise they overheat. Of course, but 18 00:00:48,680 --> 00:00:51,600 Speaker 5: some data servers are using up to sixty of a 19 00:00:51,680 --> 00:00:52,960 Speaker 5: city's energy. 20 00:00:53,159 --> 00:00:55,200 Speaker 2: You do know that a lot of it is cloud 21 00:00:55,240 --> 00:00:58,960 Speaker 2: storage as well. Yeah, so water in those clouds is 22 00:00:59,000 --> 00:01:00,600 Speaker 2: there we come from? 23 00:01:01,520 --> 00:01:03,480 Speaker 5: Anyway, something to think about when you're. 24 00:01:03,600 --> 00:01:07,080 Speaker 1: Using Thank you for your anti AI campaign, tom. 25 00:01:06,880 --> 00:01:09,000 Speaker 5: I will never think about it ever again, ever again. 26 00:01:10,160 --> 00:01:15,800 Speaker 1: This AI program developed out of China has really really 27 00:01:15,840 --> 00:01:18,640 Speaker 1: got people concerned but excited at the same time. 28 00:01:18,720 --> 00:01:19,839 Speaker 2: If you're a pet lover. 29 00:01:20,840 --> 00:01:24,120 Speaker 1: They've been able to create AI, which is like Doctor Doolittle, 30 00:01:24,160 --> 00:01:27,480 Speaker 1: where you are able to talk to the animals. In fact, 31 00:01:27,600 --> 00:01:30,120 Speaker 1: they're able to talk to you. Give you so the 32 00:01:30,240 --> 00:01:32,600 Speaker 1: AI can assess the movement of the pet and the 33 00:01:32,760 --> 00:01:36,320 Speaker 1: sounds from the pet and translated into the language of 34 00:01:36,440 --> 00:01:40,600 Speaker 1: your choice. So your dog, based on what it's doing, 35 00:01:40,800 --> 00:01:43,319 Speaker 1: could have a speaker around its neck on the collar 36 00:01:43,400 --> 00:01:46,920 Speaker 1: fits which talks to you, and it's meant to be 37 00:01:47,000 --> 00:01:49,800 Speaker 1: accurate to what the dog is thinking and how it's behaving. 38 00:01:50,320 --> 00:01:51,360 Speaker 2: I'm a fooling toad. 39 00:01:52,680 --> 00:01:56,760 Speaker 5: Oh my gosh, not a snark. It'll just be food, 40 00:01:57,120 --> 00:01:58,800 Speaker 5: more food, food. 41 00:01:59,040 --> 00:02:02,280 Speaker 2: Food, food, toilet food. 42 00:02:02,600 --> 00:02:04,680 Speaker 5: Walk, give me the ball. 43 00:02:05,040 --> 00:02:07,360 Speaker 1: The other opportion is you're able to point and shoot 44 00:02:07,400 --> 00:02:10,560 Speaker 1: your camera at the dog and the text will come 45 00:02:10,560 --> 00:02:12,360 Speaker 1: on the screen to say what your dog's thinking. 46 00:02:12,400 --> 00:02:12,760 Speaker 2: Are doing? 47 00:02:13,040 --> 00:02:16,400 Speaker 5: Well, it has to learn your dog first though. 48 00:02:16,680 --> 00:02:18,560 Speaker 2: Yeah, there must be some sort of training part to 49 00:02:18,680 --> 00:02:21,360 Speaker 2: the AI. But at the same. 50 00:02:21,120 --> 00:02:24,440 Speaker 1: Time, what I like about this technology is how can 51 00:02:24,480 --> 00:02:27,560 Speaker 1: you ever challenge it? You can't prove it or you 52 00:02:27,600 --> 00:02:28,720 Speaker 1: can't disprove it. 53 00:02:29,240 --> 00:02:30,639 Speaker 2: Of course, if it just goes with. 54 00:02:30,720 --> 00:02:34,240 Speaker 1: Generic dog things like yeah, could do with more food. 55 00:02:34,320 --> 00:02:36,840 Speaker 1: If in doubt, do with more food, food and walk. 56 00:02:37,000 --> 00:02:39,520 Speaker 1: I reckon is just the default to the platform, and 57 00:02:39,639 --> 00:02:40,959 Speaker 1: no one can argue it's wrong. 58 00:02:41,200 --> 00:02:43,680 Speaker 5: Yeah, the default would just be pat me, pat me, 59 00:02:44,000 --> 00:02:44,360 Speaker 5: pat me? 60 00:02:46,880 --> 00:02:47,880 Speaker 2: Can we isolate that? 61 00:02:47,919 --> 00:02:50,560 Speaker 1: Grab Tom absolutely talk about what price he was feeling 62 00:02:50,639 --> 00:02:51,320 Speaker 1: on Mother's Day? 63 00:02:51,919 --> 00:02:55,440 Speaker 4: For some reason, I'm getting served up on my algorithm 64 00:02:55,520 --> 00:02:56,000 Speaker 4: at the moment. 65 00:02:56,000 --> 00:02:59,240 Speaker 5: Has anyone seen the translation glasses? 66 00:03:00,320 --> 00:03:00,560 Speaker 3: Oh? 67 00:03:00,680 --> 00:03:01,480 Speaker 2: How do they work? 68 00:03:01,600 --> 00:03:04,280 Speaker 4: So you wear a pair of glasses and whatever country 69 00:03:04,320 --> 00:03:06,720 Speaker 4: you go to, when somebody talks to you on the 70 00:03:06,800 --> 00:03:08,200 Speaker 4: glasses and pops. 71 00:03:07,919 --> 00:03:08,720 Speaker 5: Up what they're saying. 72 00:03:08,760 --> 00:03:10,360 Speaker 2: Oh that's good, isn't it? Yeah? 73 00:03:10,360 --> 00:03:13,679 Speaker 4: But then I you instantly go and get the reviews 74 00:03:13,720 --> 00:03:16,600 Speaker 4: on it. It's been absolutely slut You know. 75 00:03:16,760 --> 00:03:20,560 Speaker 1: There was the inny technology not long ago fits and 76 00:03:20,639 --> 00:03:22,480 Speaker 1: so it did a similar thing, except they didn't put 77 00:03:22,480 --> 00:03:24,519 Speaker 1: the text, but you would wear it like an earbud, 78 00:03:24,919 --> 00:03:26,840 Speaker 1: and then if somebody spoke to you in Italian, your 79 00:03:26,880 --> 00:03:31,000 Speaker 1: earbud would translate it, so you had the English version 80 00:03:31,080 --> 00:03:31,800 Speaker 1: for yourself. 81 00:03:31,960 --> 00:03:32,160 Speaker 3: Yeah. 82 00:03:32,160 --> 00:03:34,960 Speaker 4: But see is that not because then you've got to 83 00:03:35,200 --> 00:03:38,880 Speaker 4: navigate when they're finished talking, and then you've got to 84 00:03:38,960 --> 00:03:40,280 Speaker 4: compute what they're saying. 85 00:03:40,360 --> 00:03:42,760 Speaker 1: And then have an answer. It'd be very convinced. It's 86 00:03:42,760 --> 00:03:48,080 Speaker 1: a very weird delayed conversation with someone as it takes 87 00:03:48,120 --> 00:03:50,160 Speaker 1: five or ten seconds to process and then you come 88 00:03:50,200 --> 00:03:51,000 Speaker 1: out with your answer. 89 00:03:52,000 --> 00:03:55,040 Speaker 2: But are the glasses? Are they selling well or are 90 00:03:55,040 --> 00:03:56,680 Speaker 2: they so? 91 00:03:57,160 --> 00:03:57,520 Speaker 1: Yeah? 92 00:03:57,600 --> 00:04:02,120 Speaker 4: And well you know that well that Internet sensation speed. 93 00:04:02,280 --> 00:04:04,600 Speaker 4: You know that guy who runs really fast and he 94 00:04:04,640 --> 00:04:06,040 Speaker 4: travels my speed. 95 00:04:06,280 --> 00:04:10,160 Speaker 5: Yeah, I show speed. He put them on and as 96 00:04:10,160 --> 00:04:12,480 Speaker 5: soon as he started going, I'm my god, this is amazing. 97 00:04:12,880 --> 00:04:13,800 Speaker 5: But then you go, you. 98 00:04:13,800 --> 00:04:17,120 Speaker 4: Go to the reviews straight away and says they can't 99 00:04:17,160 --> 00:04:19,840 Speaker 4: pick up. You've got to stand really close to the glasses. 100 00:04:20,320 --> 00:04:22,960 Speaker 4: You've got to speak very slowly into the glasses into 101 00:04:22,960 --> 00:04:26,039 Speaker 4: the language that you're talking before it can actually work 102 00:04:26,040 --> 00:04:26,720 Speaker 4: out what you got. 103 00:04:26,760 --> 00:04:29,960 Speaker 3: Tommy, Oh no, I was just you'd like together, and 104 00:04:30,000 --> 00:04:35,320 Speaker 3: you said you Optus launched a technology where you could 105 00:04:35,680 --> 00:04:39,200 Speaker 3: call any country overseas and it would translate the call 106 00:04:39,240 --> 00:04:40,880 Speaker 3: on what they would say to you and what you 107 00:04:40,880 --> 00:04:43,080 Speaker 3: would That was pretty wild. 108 00:04:43,320 --> 00:04:50,839 Speaker 2: Called South Australia. Once. I couldn't understand all love to 109 00:04:50,920 --> 00:04:52,200 Speaker 2: have understood it, idiot. 110 00:04:53,600 --> 00:04:53,880 Speaker 5: Sorry. 111 00:04:56,680 --> 00:05:00,240 Speaker 1: Whip with Kate Bridgie is a note for podcast is 112 00:05:00,279 --> 00:05:02,240 Speaker 1: like this download the Nova. 113 00:05:01,960 --> 00:05:04,359 Speaker 2: Player via the app Store or Google Play. 114 00:05:04,520 --> 00:05:05,480 Speaker 3: The Nova Player