WEBVTT - BONUS ❌ Wait... AI 🤖 Can Read Our Minds Now?! 🧠 0:00:00.800 --> 0:00:04.480 Flex and Froomes Flex and Frooms. This is the Flex 0:00:04.519 --> 0:00:12.160 and Frooms catch up podcast. 0:00:09.640 --> 0:00:11.959 Tech Time, Tech Time, tax Time. 0:00:12.240 --> 0:00:15.400 It's tech time with Flex and Froomes on cater push 0:00:15.440 --> 0:00:16.480 it to the next level. 0:00:16.600 --> 0:00:18.760 Oh there's what is going to be a whirl When 0:00:19.520 --> 0:00:21.280 are we across the chat GPT. 0:00:21.600 --> 0:00:22.840 I don't want to call it drama. 0:00:23.000 --> 0:00:25.960 Sounds like I've been fantalizing what could be the end 0:00:26.000 --> 0:00:28.960 of humanity as we know it. But it is drama. 0:00:29.040 --> 0:00:32.199 So sometime last week or the week before, Sam Oltman, 0:00:32.280 --> 0:00:36.680 the CEO of chat GPT, was dismissed randomly one day. 0:00:36.720 --> 0:00:38.440 He didn't even see it coming. He went in, he 0:00:38.479 --> 0:00:41.400 got dismissed. He went on Twitter or x and said 0:00:41.640 --> 0:00:44.000 it's been great, I love you all, but I've been fired. 0:00:44.560 --> 0:00:47.960 Then his co founder walked out with him. Mind you, 0:00:48.000 --> 0:00:50.600 they're about six co founders. Elon Musk is one of them. 0:00:51.080 --> 0:00:55.200 So Greg walks out with Sam. Everybody's confused why they 0:00:55.280 --> 0:00:59.760 being fired. The issue is Sam is all about AI acceleration. 0:01:00.120 --> 0:01:02.640 He wants AI to evolve and involve at such a 0:01:02.720 --> 0:01:07.000 rapid pace that we can almost have changes of a 0:01:07.000 --> 0:01:09.440 one hundred years happen in one year. That's what he's 0:01:09.480 --> 0:01:11.759 advocating for. He's like, this could be the greatest thing ever. 0:01:12.280 --> 0:01:14.480 Everybody else on the board is like, it's just too much. 0:01:15.160 --> 0:01:19.080 We Chat GPTs owned by not for profit which believes 0:01:19.120 --> 0:01:22.400 in like AI for the benefit of humanity, and accelerating 0:01:22.400 --> 0:01:24.440 at such rapid rate will not be for the benefit 0:01:24.520 --> 0:01:25.319 of humanity. 0:01:25.680 --> 0:01:30.760 So they ousked him. What ensues is five days of 0:01:30.959 --> 0:01:31.880 just nonsense. 0:01:32.040 --> 0:01:35.880 So basically there's gossip between the guys that left, and 0:01:35.920 --> 0:01:38.040 they're like, you know, we need to be at the 0:01:38.080 --> 0:01:41.280 helm of change. We can't fear the future. Elon Musk 0:01:41.360 --> 0:01:42.800 jumps in, He's like, I even think they've gone too 0:01:42.840 --> 0:01:46.080 far with this. They're accelerating too quickly. It's not good. 0:01:46.560 --> 0:01:49.520 Then Microsoft, who owns a forty nine percent stake in 0:01:49.600 --> 0:01:53.600 chat GPT, hires Sam and Greg for Microsoft and says 0:01:53.840 --> 0:01:57.400 if they won't keep you, will hire you. Then open AI, 0:01:57.480 --> 0:02:00.440 who owns chat GPT, says sorry, we made a mistake. 0:02:00.480 --> 0:02:03.200 We want to rehire the guys that we fired, and 0:02:03.600 --> 0:02:06.520 we fired half the board who fired you initially, so 0:02:06.600 --> 0:02:09.000 now you can come back. What does this mean. I'm 0:02:09.000 --> 0:02:11.480 not quite sure, because here's what the critics are saying. 0:02:11.840 --> 0:02:16.520 You have these people, and we're not making generalizations. 0:02:15.600 --> 0:02:18.080 Of tech wizards, but people who. 0:02:17.880 --> 0:02:20.840 Are fundamentally isolated from the rest of the world, with 0:02:21.080 --> 0:02:24.400 all the resources they need to make their dreams and 0:02:24.440 --> 0:02:27.880 their fantasies a possibility. Now, when someone who's quite isolated 0:02:27.919 --> 0:02:30.200 from the general human experience has all the power to 0:02:30.320 --> 0:02:33.079 change how humanity works, who's to say what they will 0:02:33.120 --> 0:02:35.919 do or not do with them. Also, considering that most 0:02:35.919 --> 0:02:39.919 of the people interacting with AI don't understand it therefore 0:02:39.960 --> 0:02:42.960 don't understand the pros or the cons with introducing it 0:02:43.240 --> 0:02:44.480 so rapidly into our lives. 0:02:44.520 --> 0:02:45.320 We stort of understand what. 0:02:45.280 --> 0:02:47.359 Bluetooth is, Mabe career, I don't even know what Wi 0:02:47.400 --> 0:02:50.120 fi is, And now'drop what is air drop? 0:02:50.200 --> 0:02:51.320 And now we're messing with AI. 0:02:51.760 --> 0:02:54.520 So the people who are a bit fearful of SAM 0:02:54.560 --> 0:02:57.560 and chat GPT are fearful of the fact that if 0:02:57.600 --> 0:03:00.440 we advocate so heavily for something that we don't stand 0:03:00.600 --> 0:03:02.919 and it doesn't work in our benefit, we're going to 0:03:03.000 --> 0:03:09.240 be unfairly compromised. And if we slow down AI evolution, 0:03:09.440 --> 0:03:12.839 we are slowing down the inevitable. I don't know what 0:03:12.880 --> 0:03:15.840 this means in the grand scheme, of things. But keep 0:03:15.880 --> 0:03:17.760 an eye out for Microsoft. Just keep an eye out, 0:03:18.440 --> 0:03:21.160 keep an eye out for chat tipt, keep an eye out, 0:03:21.400 --> 0:03:22.640 keep an eye out for open AI. 0:03:23.040 --> 0:03:24.000 I will tell you one thing. 0:03:24.320 --> 0:03:27.720 Once my house got broken into in Surrey Hills and 0:03:28.120 --> 0:03:32.240 the rubber stole all the Apple computers, all our jewelry. Yeah, 0:03:32.320 --> 0:03:34.400 what did they leave the Microsoft tablet? 0:03:34.520 --> 0:03:36.760 So do about what you will. They've got a long 0:03:36.800 --> 0:03:38.640 way to go. They've got a long way to go. 0:03:39.120 --> 0:03:41.840 I have one other story to share with the audience, 0:03:42.120 --> 0:03:43.000 and this is about AI. 0:03:43.160 --> 0:03:44.360 Mind reading Huge. 0:03:44.840 --> 0:03:48.320 A psychologist explains what mind reading AI can do for us. 0:03:48.960 --> 0:03:52.360 So researchers at the University of Texas in Austin successfully 0:03:52.400 --> 0:03:56.320 developed a non invasive language decoder that can read brain 0:03:56.360 --> 0:03:58.600 waves and interpret what people are thinking in real time. 0:03:59.040 --> 0:04:01.360 By the way, guys, I'm for the first time right now, 0:04:01.880 --> 0:04:04.280 making it one of the most important developments in the 0:04:04.280 --> 0:04:07.560 field of human AI interaction today. But it raises a 0:04:07.560 --> 0:04:11.240 crucial question, what are we planning to do with this superpower? Mickey, 0:04:11.240 --> 0:04:13.840 you found this story? Anything else to add? Now? 0:04:13.920 --> 0:04:16.280 You can keep reading it. Okay, They're gonna help me 0:04:16.279 --> 0:04:16.640 out there. 0:04:17.400 --> 0:04:19.559 So here's some possibilities of how the technology could work. 0:04:20.279 --> 0:04:23.880 It seems likely that the technology will enable speech impaired 0:04:23.880 --> 0:04:25.680 individuals to communicate. 0:04:25.520 --> 0:04:26.680 With thoughts alone. 0:04:27.640 --> 0:04:31.640 Secondly, this technology may aid criminal investigation. 0:04:31.080 --> 0:04:32.000 So I'm guessing that's in. 0:04:32.080 --> 0:04:36.240 Like a mind read one mind reading situation that seems unethical. 0:04:36.839 --> 0:04:39.880 This technology, once it matures and makes its way into 0:04:39.880 --> 0:04:42.320 the hands of social media companies or the government, may 0:04:42.400 --> 0:04:45.520 listen into our private thoughts, effectively rendering a privacy a 0:04:45.560 --> 0:04:46.120 thing of the part. 0:04:46.120 --> 0:04:47.240 Okay, how do we jump there? 0:04:47.920 --> 0:04:51.839 Hold on a second, a second, one more time. Researchers 0:04:51.839 --> 0:04:55.880 at the University of Texas at Austin successfully developed a 0:04:55.960 --> 0:05:00.200 non innovasive language decoder that can read brain waves and 0:05:00.279 --> 0:05:02.520 interpret what people are thinking in real time. I don't 0:05:02.520 --> 0:05:05.560 feel like that's possible. Number One, If I am thinking 0:05:05.720 --> 0:05:09.240 of an apple, how do you decode the story I'm 0:05:09.279 --> 0:05:10.560 thinking about the apple? 0:05:10.880 --> 0:05:13.160 Yeah, I just went through a whole thing. Candy apple 0:05:13.560 --> 0:05:14.520 are snow white. 0:05:14.920 --> 0:05:18.400 Now it's red, Now it's green, exactly, it's crispy, it's mushy, exactly. 0:05:18.839 --> 0:05:21.240 And I was rewatching inception the other day and it 0:05:21.279 --> 0:05:22.520 was talking about how to success. 0:05:22.720 --> 0:05:25.640 Don't do it, dang it, dang doo it. 0:05:25.839 --> 0:05:34.320 Okay, it's a documentary, did you okay my brain? So 0:05:34.839 --> 0:05:38.800 to successfully plant a thought into someone's mind so deep 0:05:38.839 --> 0:05:44.720 into their subconscious you have to plant almost like proximal 0:05:44.760 --> 0:05:47.960 thoughts through it. So if I want you to believe 0:05:48.000 --> 0:05:50.680 that red apples are superior to green apples, if I 0:05:50.760 --> 0:05:53.039 tell that to you, you can trace that thought back 0:05:53.080 --> 0:05:55.440 to me so quickly. So Nanni, to find out the 0:05:55.440 --> 0:05:58.839 emotional response you have towards apples or don't have towards apples, 0:05:58.920 --> 0:06:00.480 or the color green or the color rent. 0:06:00.640 --> 0:06:01.719 It's not that simple. 0:06:02.000 --> 0:06:04.760 You can't tell me because I'm thinking about maple leaves 0:06:04.760 --> 0:06:07.799 that I want to go to Canada and to jump 0:06:07.839 --> 0:06:10.560 from This thing can read brain waves and interpret what 0:06:10.600 --> 0:06:13.880 people are thinking to social media companies will listen in 0:06:13.880 --> 0:06:15.880 on our private thoughts. Okay, So I have a thought 0:06:15.920 --> 0:06:20.240 on this surprisingly Unsurprisingly the way that it will be 0:06:20.279 --> 0:06:22.240 in the hands of the social media companies tell me 0:06:22.320 --> 0:06:25.560 why they already know what I'm thinking without me thinking it. 0:06:25.800 --> 0:06:26.839 Maybe because you're not thinking. 0:06:27.720 --> 0:06:31.240 Maybe you're just having thoughts planted into your brain and 0:06:31.279 --> 0:06:33.480 then you're just becoming aware of them. 0:06:34.080 --> 0:06:36.560 The first two points seem like net positives. Here's the 0:06:36.560 --> 0:06:39.320 scary part. Did you write this, this came from for. 0:06:42.960 --> 0:06:44.800 Stuff. What is the agenda of this writer? 0:06:45.000 --> 0:06:48.320 How do you go from this technology may aid criminal investigation? 0:06:48.480 --> 0:06:50.040 Now social media is listening. 0:06:49.880 --> 0:06:52.880 In when it comes to the third point, the wheels 0:06:52.920 --> 0:06:55.880 already in motion. META is now capable of visualizing with 0:06:55.960 --> 0:06:58.479 precision what a person is looking at simply based on 0:06:58.520 --> 0:06:59.440 their brain activity. 0:06:59.480 --> 0:07:01.159 How does META have my brain activity? 0:07:01.880 --> 0:07:04.080 Forks predicts this type of AI has the power to 0:07:04.120 --> 0:07:06.800 increase our spending and make hypool. 0:07:08.240 --> 0:07:13.880 Somebody find this force writer enough. I just feel like, 0:07:14.480 --> 0:07:19.840 here's the thing everyone. When we talk about media literacy, 0:07:20.040 --> 0:07:23.160 we talk about framing, right. I could imagine there's a 0:07:23.160 --> 0:07:26.040 lot we wouldn't understand about this original research paper about 0:07:26.080 --> 0:07:29.320 this new type of AI that may potentially read your 0:07:29.360 --> 0:07:32.480 brain activity. But we've simplified it so much so now 0:07:32.520 --> 0:07:35.880 we're saying we're inferring that META is one to watch 0:07:35.960 --> 0:07:38.200 out for because it is going to read our brain 0:07:38.240 --> 0:07:40.400 activity if we use the platform. 0:07:41.280 --> 0:07:43.240 I will also say on that very quickly until we 0:07:43.280 --> 0:07:47.360 move into a game. Everybody, it's the same as epigenetics, right. So, 0:07:47.360 --> 0:07:48.840 I think on the podcast a couple of weeks where 0:07:48.840 --> 0:07:50.440 we were talking about the concept that you're in your 0:07:50.440 --> 0:07:53.400 grandma's hummy, when your mum was in your grandma's hummy. 0:07:53.840 --> 0:07:55.640 I've been doing more research about it, and there's a 0:07:55.680 --> 0:08:00.840 lot of feminist theory and writing about how it's like 0:08:01.280 --> 0:08:04.200 really dangerous to go down that route of thinking of 0:08:04.200 --> 0:08:07.480 it in simplistic terms, because if we're going to simmer 0:08:07.520 --> 0:08:09.840 it down that much, you can then think, oh, we're 0:08:09.840 --> 0:08:12.000 going to control women's bodies. In that case, there's stuff 0:08:12.040 --> 0:08:15.760 in the US where certain researchers were thinking that to 0:08:15.880 --> 0:08:20.120 fix the obesity crisis in quotation marks, the option is 0:08:20.160 --> 0:08:23.960 to give all women gastric band surgery if they're overweight 0:08:24.000 --> 0:08:26.160 before they have a kid. That was a genuine thing 0:08:26.160 --> 0:08:28.720 they were looking at. I'm like, this is giving hairmaid's tail. 0:08:28.880 --> 0:08:31.440 It's lovely to see how people connect thoughts. But we 0:08:31.480 --> 0:08:34.439 also talked about when we spoke about epigenetics on the podcast, 0:08:34.480 --> 0:08:37.520 we said that the reason why people are mindful of 0:08:37.559 --> 0:08:41.239 it becoming a popular conversation is because it can reinforce stereotypes. 0:08:41.320 --> 0:08:44.520 So if we oversimplify the way that everything comes to be. 0:08:45.160 --> 0:08:49.160 My dad lived in a very dramatic environment, therefore he's dramatic, 0:08:49.240 --> 0:08:52.040 Therefore I dramatic, mic whatever then it's like, okay, I 0:08:52.040 --> 0:08:55.120 don't think we're smart enough to know how we're even 0:08:55.280 --> 0:08:58.120 consciously impacted, let alone subconsciously. 0:08:58.160 --> 0:09:00.960 And then on like a biological molecular level. 0:09:01.440 --> 0:09:06.079 Molecular we don't have the capacity. 0:09:06.840 --> 0:09:09.200 It's time to play a game. Who here? Finished you 0:09:09.240 --> 0:09:16.200 twelve recently? Oh? Yeah, I saw you. You got pointed at. Sorry, 0:09:16.880 --> 0:09:18.280 it's great, hate, I can see everybody. 0:09:18.400 --> 0:09:19.720 I don't know if you want to speak, but you 0:09:19.760 --> 0:09:22.360 can just like talk to me. Was this this year 0:09:22.480 --> 0:09:23.120 or last year? 0:09:23.679 --> 0:09:27.360 This year? You just finished? Do you want to talk 0:09:27.400 --> 0:09:28.520 on the microphone or you're just happy? 0:09:28.559 --> 0:09:28.719 Yeah? 0:09:28.760 --> 0:09:33.200 Yeah, Hi, Hi, Hey, good Thanks? What's your name? 0:09:33.320 --> 0:09:33.920 Ruby? 0:09:34.160 --> 0:09:35.880 So when did you finish your exams? 0:09:36.720 --> 0:09:39.640 About a month ago or like end of November? 0:09:39.760 --> 0:09:41.320 Yeah? What subjects did you do? 0:09:42.480 --> 0:09:49.560 I did literature media like visual communication, design and business 0:09:49.880 --> 0:09:51.760 and psychology. 0:09:52.720 --> 0:09:56.360 Subject Ask me what I did in your twelve? It 0:09:56.400 --> 0:10:00.439 was like art, visual art, Are you serious? We didn't 0:10:00.520 --> 0:10:03.000 I didn't do anything in English Victoria. 0:10:03.200 --> 0:10:08.319 Yeah, literature, the garden state, Psytology, you can do psychologist 0:10:08.400 --> 0:10:09.000 that was not offer. 0:10:09.160 --> 0:10:13.800 I did psychology, sociology. What theater studies that's a random one. 0:10:13.920 --> 0:10:17.880 Drama and hospitality. When will you find out your. 0:10:17.720 --> 0:10:19.560 Score eleventh of December. 0:10:19.600 --> 0:10:21.120 I think, do you have like a I guess you 0:10:21.160 --> 0:10:22.720 don't know a ballpark figure till you get. 0:10:22.559 --> 0:10:24.280 It, do you. Let's not put it into the abyss. 0:10:24.360 --> 0:10:27.960 No, of course, of course, let's wish her the best man. 0:10:28.880 --> 0:10:32.040 Yeah, yeah, over ninety. Well can I tell you so? 0:10:32.120 --> 0:10:33.640 I got mine in twenty twelve. 0:10:35.160 --> 0:10:42.720 Sorry, I got twenty twelve December the twelfth, okay, so 0:10:42.960 --> 0:10:44.760 same date. And I got over text. I think I 0:10:44.800 --> 0:10:46.360 was like the first year to get it over text. 0:10:46.720 --> 0:10:47.640 And I'm writing about this. 0:10:47.559 --> 0:10:48.040 At the moment. 0:10:48.120 --> 0:10:49.680 Might not go in the book, but I was talking 0:10:49.679 --> 0:10:51.520 about how I was in bed with my boyfriend at 0:10:51.520 --> 0:10:54.800 the time and I got the text message and he 0:10:54.840 --> 0:10:56.600 was quite a bit older than me, and so I 0:10:56.600 --> 0:10:57.320 think he thought. 0:10:57.080 --> 0:11:01.199 I was really dumb. And I don't know. I'm uncovering 0:11:01.240 --> 0:11:02.600 all of stuff in the book. It's okay. 0:11:02.640 --> 0:11:04.400 And I got the text message and the score. I 0:11:04.400 --> 0:11:06.560 was really happy with the score, and I started laughing like, 0:11:06.800 --> 0:11:08.560 oh my god, like what the hell? 0:11:09.120 --> 0:11:10.000 And I showed him. 0:11:09.880 --> 0:11:12.360 The phone like I angled the phone towards him, and 0:11:12.400 --> 0:11:15.559 his face just drops like it was like he was devastated. 0:11:16.000 --> 0:11:17.160 He looks me like I was an alien. 0:11:17.200 --> 0:11:19.320 You know when someone's like, damn, like you were hiding 0:11:19.360 --> 0:11:21.920 something from me that you could get this score, And 0:11:21.960 --> 0:11:23.560 that's when I knew it had to end. 0:11:24.000 --> 0:11:26.000 He still broke up with me, but you know, but you. 0:11:26.000 --> 0:11:28.520 Knew first, and you first in that moment. Will you 0:11:28.520 --> 0:11:30.360 do us the favor of revealing the score? I think 0:11:30.400 --> 0:11:32.000 it goes without saying. 0:11:31.760 --> 0:11:33.360 Okay, okay. I think if you've listened to the. 0:11:33.360 --> 0:11:35.320 Podcast, this is not to brag everyone, This is not 0:11:35.400 --> 0:11:36.960 to brag. It's just we are we do have a 0:11:37.000 --> 0:11:38.120 genius in our miss It must. 0:11:38.000 --> 0:11:39.800 Said, It must be said, any guesses out there for 0:11:39.800 --> 0:11:45.400 the score ninety eight, ninety five, an fortunate watunate, thank you, 0:11:45.600 --> 0:11:47.080 unfortunately point nine. 0:11:47.520 --> 0:11:49.200 Because then people would say, oh, you got a ninety seven. 0:11:49.200 --> 0:11:51.720 I said, I don't know if we must. 0:11:51.760 --> 0:11:53.920 If we must, are we going to play the game. Yeah, 0:11:53.920 --> 0:11:55.800 we're going to play the game. Hey, what's this one wiki? 0:11:56.200 --> 0:11:59.959 So we're doing this year's HC Hospitality Exam. 0:12:00.080 --> 0:12:03.600 Oh god, I've got the answers with me so you 0:12:03.600 --> 0:12:04.080 can read them. 0:12:04.080 --> 0:12:05.600 Mount Buzzy, I'll let you know. 0:12:05.880 --> 0:12:08.640 Which type of milk is most suitable for a customer 0:12:08.640 --> 0:12:09.800 who is lactose intolerance. 0:12:09.840 --> 0:12:14.280 There is no way, There is no way. Okay, guys, 0:12:14.960 --> 0:12:18.640 are you studying We're in a crisis. Anybody you know 0:12:18.679 --> 0:12:20.560 the answer to this? Which type of milk is most 0:12:20.600 --> 0:12:24.440 suitable for a customer who is lactose intolerant? Skim whole? 0:12:24.920 --> 0:12:25.520 It's soy. 0:12:26.920 --> 0:12:29.800 I'm afraid you're not going to pass that one because 0:12:29.840 --> 0:12:33.560 the final two milk or almond? 0:12:34.000 --> 0:12:37.640 What's your name? Iriri? Well, thank you? Irie? 0:12:37.760 --> 0:12:41.760 Listen number two? Which of the following indicates a caution sign? 0:12:41.840 --> 0:12:46.320 Wait? What was the answer? Almond was just in case? 0:12:46.440 --> 0:12:48.880 Which of the following indicates a caution sign? 0:12:49.600 --> 0:12:55.200 A red circle black symbol, B blue circle white symbol, 0:12:56.520 --> 0:13:00.320 see yellow triangle black symbol, or D green triangle white symbol. 0:13:00.440 --> 0:13:01.920 Are the other symbols even a real symbol? 0:13:01.920 --> 0:13:05.000 Which of the following indicates a caution sign? Yellow triangle 0:13:05.040 --> 0:13:05.640 black symbol? 0:13:05.760 --> 0:13:06.440 Are you correct? 0:13:06.480 --> 0:13:06.800 Correct? 0:13:07.120 --> 0:13:10.240 We don't do that? 0:13:10.280 --> 0:13:12.360 Okay, So then what are the psychology people studying? If 0:13:12.360 --> 0:13:14.880 this is what mosticality gets? What do you mean what 0:13:14.920 --> 0:13:17.960 type of milk is suitable for people who have laptose intolerance. 0:13:18.040 --> 0:13:19.160 I'll try and give you a hard one. 0:13:19.520 --> 0:13:23.000 Which of the following pairs of complimentary selections is industry 0:13:23.080 --> 0:13:26.520 standard for the serving with herbal tea, honey and milk, 0:13:27.400 --> 0:13:31.240 honey and lemon flavored syrup, and milk flavored syrup and lemon. 0:13:32.240 --> 0:13:33.360 There's honey and lemon. 0:13:33.200 --> 0:13:36.320 Right If anyone wants to buzz in the audience, Yeah, 0:13:36.320 --> 0:13:36.839 here we go. 0:13:37.320 --> 0:13:39.560 I'm gonna go with honey and lemon, please. 0:13:39.360 --> 0:13:46.439 Her You are correct, the audible cheer from the audience. 0:13:46.600 --> 0:13:49.760 Okay, amazing. I would have said honey and milk. So six. 0:13:49.800 --> 0:13:53.839 Food manufacture and production can be affected by natural disasters? Well, 0:13:54.080 --> 0:13:56.840 what aspects of a restaurant's menu would most likely be 0:13:56.880 --> 0:14:01.240 affected by this? A? Pricing, customer service, food quality, B presentation, 0:14:01.360 --> 0:14:06.080 customer service staffing, C pricing food availability and supply, food 0:14:06.160 --> 0:14:08.520 quality or depresentation food ability. 0:14:09.240 --> 0:14:12.360 Ah, yeah, it's three. Wait hold on a second. 0:14:12.360 --> 0:14:16.319 I'm food manufacture and production can be affected by natural disasters. 0:14:16.360 --> 0:14:16.760 Correct? 0:14:16.960 --> 0:14:19.960 What aspects of a restaurant's menu would most likely be 0:14:20.000 --> 0:14:24.120 affected by this? And you're saying pricing, food availability, supply, 0:14:24.280 --> 0:14:26.840 food quality, Mickia, my correct, But hold on, it's a 0:14:26.920 --> 0:14:30.360 natural disaster. Are we gonna have staffing issues? If your 0:14:30.360 --> 0:14:32.080 house is flooded, you can't come to work. 0:14:32.320 --> 0:14:34.000 What did you lock in? I locked in C. 0:14:34.520 --> 0:14:35.440 You are correct for me? 0:14:35.720 --> 0:14:36.040 Guys. 0:14:36.160 --> 0:14:39.960 I cannot believe how easy this is everybody else doing this? 0:14:40.240 --> 0:14:42.120 How many years are we out of HC. 0:14:42.800 --> 0:14:45.240 I think I got dumber as you went past. I'm 0:14:45.240 --> 0:14:45.920 gonna be serious. 0:14:45.960 --> 0:14:48.560 The brain run, the brain run is so really onset. 0:14:48.640 --> 0:14:51.640 Brain run too, all right? 0:14:51.880 --> 0:14:55.880 The term covers in a hospitality establishment refers to the 0:14:55.960 --> 0:15:00.160 number of what seats in the restaurant, drink serve in 0:15:00.200 --> 0:15:04.240 the restaurant, dishes served in the service period, guests served 0:15:04.360 --> 0:15:05.400 in a service period. 0:15:05.400 --> 0:15:10.040 Does anybody does anybody who work in hospitality? No? Not 0:15:10.200 --> 0:15:13.320 of your Oh yeah, yeah, yeah, yeah, yeah, here we go. 0:15:16.880 --> 0:15:17.520 You're correct. 0:15:18.800 --> 0:15:22.880 You get to keep your job. That's awesome. Hey, can 0:15:22.880 --> 0:15:24.920 you tell us for your work? Or is that classified information? 0:15:25.920 --> 0:15:34.120 Alimentary? Are you serious? Well? Thank you so much, Alimentary. 0:15:34.120 --> 0:15:36.120 Can you tell them? I got a shout out? Oh 0:15:36.200 --> 0:15:40.320 of course, I love it, Alimentary. What a venue? What 0:15:40.360 --> 0:15:40.880 we're gonna do? 0:15:41.040 --> 0:15:42.800 Is my favorite part of the podcast in the last 0:15:42.800 --> 0:15:45.920 few months is Mickey's music Quiz. Micky gives us like 0:15:46.040 --> 0:15:47.720 two seconds of a song and we have to guess 0:15:47.720 --> 0:15:52.080 what the song is. I am probably more confident However. 0:15:51.840 --> 0:15:52.280 I don't win. 0:15:52.600 --> 0:15:56.840 We're gonna get you guys involved. Micky, what is today's 0:15:56.880 --> 0:15:59.120 and I'll transcribe? What is today's theme? 0:15:59.440 --> 0:16:01.120 Cliche celebration song. 0:16:01.440 --> 0:16:05.480 Cliche celebration songs to celebrate our last ever show as 0:16:05.520 --> 0:16:12.880 flecks and frames. Here we go, guys, listen carefully. 0:16:12.480 --> 0:16:18.040 Celebrate good times. No, it's celebration Madonna. 0:16:18.760 --> 0:16:24.000 Oh We're so close. Sorry, it's celebration by Kylie Minogue. 0:16:24.760 --> 0:16:26.480 I think you can guess the next one. This is 0:16:26.720 --> 0:16:29.200 Let's give you a redemption chance. 0:16:29.920 --> 0:16:35.920 Buzzers at the Ready song Number two, Cindy Lope Law 0:16:36.000 --> 0:16:37.400 for girls just want to have fun? 0:16:37.480 --> 0:16:42.720 Is that right? Yay? Yeah? Boy? All right, Mickey, what's 0:16:42.720 --> 0:16:44.360 the next one? Number three? 0:16:46.920 --> 0:16:51.920 All Night Long Lionel Richie, Yeah, yeah, go off, Queen? 0:16:54.320 --> 0:16:55.960 Is it Let's get loud? Yeah? 0:16:56.240 --> 0:17:00.840 Y yes, okay. This is the last song, everyone. 0:17:00.880 --> 0:17:02.360 The last song ever of the Flex and Froom Show. 0:17:02.400 --> 0:17:05.040 Mickey's music Quiz song number five. 0:17:06.520 --> 0:17:08.040 I got a feeling, black eyed peas. 0:17:08.160 --> 0:17:11.520 That's it, speak on it? Can I sing for you guys? 0:17:12.600 --> 0:17:13.040 Just kidding? 0:17:13.040 --> 0:17:15.440 I did this Beyond the Valley a couple last year, 0:17:15.880 --> 0:17:17.760 and no one knew I was joking, And it was 0:17:18.080 --> 0:17:20.800 one of the worst performances in my life. The story, Okay, 0:17:20.840 --> 0:17:22.439 I'll really quickly tell you the story before we go 0:17:22.760 --> 0:17:23.520 Beyond the Valley. 0:17:23.840 --> 0:17:25.240 Twenty twenty three New Year's Eve. 0:17:25.359 --> 0:17:27.800 I was hosting the podcast stage and I was getting 0:17:27.840 --> 0:17:29.439 a bit bored of the situation. So I thought, my 0:17:29.520 --> 0:17:32.320 last addressed everyone, I'm going to get up on stage 0:17:32.320 --> 0:17:33.320 and play the Crazy Frog. 0:17:33.640 --> 0:17:35.080 So I went up on the stage. 0:17:34.800 --> 0:17:37.320 And I said, hey guys, and like half people didn't 0:17:37.359 --> 0:17:39.760 know anything about me because they were all eighteen and 0:17:39.800 --> 0:17:42.520 most of the people that follow me at thirty five. Anyway, 0:17:42.840 --> 0:17:44.800 I got up on stage and I'm like, hey, guys, 0:17:45.320 --> 0:17:46.159 my name's Rooms. 0:17:46.240 --> 0:17:46.560 Listen. 0:17:46.880 --> 0:17:48.760 I was actually invited here to be the podcast host, 0:17:48.760 --> 0:17:51.840 but I have a lifelong dream of being a singer, 0:17:52.600 --> 0:17:54.800 so I want to sing for you guys. The audience 0:17:55.080 --> 0:17:57.600 is gasping their like you know when someone's about to 0:17:57.600 --> 0:18:02.120 do something so embarrassing and you're watching and you're like. 0:18:00.880 --> 0:18:02.560 Like they didn't get their phones down a reading because 0:18:02.560 --> 0:18:06.399 they were already that embarrassed already. And I sang with 0:18:06.440 --> 0:18:09.280 the Crazy Frog song and my friend. 0:18:09.000 --> 0:18:10.840 Was Ky video and when I tell you, not a 0:18:10.840 --> 0:18:15.240 single person even laughed, Like everyone was like, I'll play 0:18:15.240 --> 0:18:15.760 it on my phone. 0:18:16.560 --> 0:18:18.240 I better hear you guys singing. This is a redemption 0:18:18.359 --> 0:18:24.560 tour or uh crazy frog Bama man na ma mum 0:18:24.560 --> 0:18:29.400 ba bo. What's going on? Bam bam bam bana da Dun. 0:18:29.400 --> 0:18:31.520 Dan Dan dan da da Dan Dun dun d d 0:18:31.680 --> 0:18:34.000 d dan da Come on, guys, a little bit ding 0:18:34.119 --> 0:18:36.840 ding dan dan dan da da Dan Dan dan dan 0:18:37.000 --> 0:18:38.119 d d d d. 0:18:39.760 --> 0:18:40.119 Come on. 0:18:41.560 --> 0:18:44.280 Bam bam bam banana dun Dun dun damn dun da 0:18:44.320 --> 0:18:46.239 da da Dun Dun Dun da da da da da 0:18:46.320 --> 0:18:46.760 da da. 0:18:47.520 --> 0:18:53.040 Bing bing dan da da da da da da. Here 0:18:53.080 --> 0:18:56.840 we go mingman bing bing ding ding bing ming ming 0:18:56.920 --> 0:19:00.760 bing bing ming bing. Wow, that was healing. 0:19:01.359 --> 0:19:01.679 That was. 0:19:03.320 --> 0:19:05.200 Nature healing you, guys. Nature was healing. 0:19:06.280 --> 0:19:08.000 I want to say thank you very much everyone who 0:19:08.119 --> 0:19:11.800 came out today during work hours, which is questionable, but 0:19:11.840 --> 0:19:15.160 I also like that via aspector thank you to our listeners, 0:19:15.560 --> 0:19:17.440 everyone who tuned in every day, and even people that 0:19:17.480 --> 0:19:18.480 tuned in once or twice. 0:19:18.880 --> 0:19:21.399 It has been really fun and I've really enjoyed spending 0:19:21.440 --> 0:19:26.400 time with you. Lilian. Anything to say to me, I'm 0:19:26.440 --> 0:19:27.959 the person that says I love you, and you need 0:19:28.000 --> 0:19:29.760