
AI Learning Lab
10/29/2025 - The Power of Community in the Age of AI: Collaborating on Art, Music, and Learning

Live Stream2025-10-302:02:2486 views
Description
Making AI a daily practice Join the conversation for free online at https://community.thesalon.ai. Newbies Welcome!
In this session of the AI Learning Lab, host Kyle Shannon champions the idea of approaching artificial intelligence as a "daily practice" of play and exploration rather than an overwhelming technical challenge. He highlights the incredible creativity within his community, sharing a story about a member who uses AI to turn a 90-year-old's poems into songs. Kyle encourages viewers to move beyond the pressure of "keeping up" and instead focus on being in the conversation, using AI as a tool to amplify human intention and creativity. This philosophy sets the stage for a hands-on demonstration of how different AI tools can work together to bring an idea to life.
The main segment features a collaborative project inspired by an image of a character named "Eloise," shared by community member Cori Sandler. Kyle uses ChatGPT to generate a rich backstory and lyrics for Eloise's signature song, "Wind in My Pockets." The group then uses the AI music generator Suno to produce several versions of the song, with the community voting on their favorite rendition. To complete the creative cycle, Kyle uses Hedra to animate the original image of Eloise singing the song. He also announces the upcoming free, 24-hour virtual event, "AI Festivus: AI for the rest of us," scheduled for December 26th and 27th, promising an accessible and human-centric exploration of AI for everyone.
#AITools, #CreativeAI, #Suno, #ChatGPT, #AIWorkflow, #DigitalArt, #GenerativeAI, #CommunityLearning
Chapters:
00:00:00 Intro
00:05:55 AI Acceleration
00:08:16 AI as Daily Practice
00:09:14 Poems Into Songs
00:10:20 What IS RAG?
00:13:02 Showing UP to Learn
00:16:15 AI Festivus Announced
00:19:27 Artist's Intention
00:22:16 AI Advent Calendar
00:28:29 Cycle of AI Readiness
00:31:32 Generating a Backstory
00:36:41 Creating a Song
00:41:38 Remembering Serena
00:46:02 Humanity & AI
00:48:53 Generating Music
00:59:55 GEN X at Openai
01:03:32 Voting on the Song
01:08:11 Ranting About AVIF
01:11:14 The First Video
01:19:07 Hedra API Error
01:26:41 Festivus Advent Calendar
01:34:06 A Historical Moment
01:39:25 Future of Music
01:44:40 Uploading to Twitter
01:50:52 Making UGC Videos
Chapters
0:00Intro5:55AI Acceleration8:16AI as Daily Practice9:14Poems Into Songs10:20What IS RAG?13:02Showing UP to Learn16:15AI Festivus Announced19:27Artist's Intention22:16AI Advent Calendar28:29Cycle of AI Readiness31:32Generating a Backstory36:41Creating a Song41:38Remembering Serena46:02Humanity & AI48:53Generating Music59:55GEN X at Openai1:03:32Voting on the Song1:08:11Ranting About AVIF1:11:14The First Video1:19:07Hedra API Error1:26:41Festivus Advent Calendar1:34:06A Historical Moment1:39:25Future of Music1:44:40Uploading to Twitter1:50:52Making UGC Videos
Transcript
0:07 [music] 0:12 [music] 0:18 [music] 0:21 See here in this quiet [singing] town 0:24 where the old trees swing 0:28 the pain that goes through the day. 0:36 People greet you with a nine. [singing] 0:40 [music] 0:41 Nothing ever seems to change. [singing] 0:45 Stories still unfold. Each unique and 0:48 strange [music] 0:53 [music] 0:55 Hello. 0:59 Hello. 1:04 [music] 1:15 [music] 1:19 Sorry. 1:23 [music] 1:28 [crying] 1:40 >> [music] 1:45 [music] 1:48 >> Woohoo! 1:51 [music] 1:55 >> [singing] 1:57 [music] 2:04 >> There's been something baby I've been 2:07 trying to say [music] 2:10 on age and it seems I don't know how 2:16 the past and the future now surrounding 2:20 me. 2:23 Surrender to an infantry thief thrill 2:26 can be found. [music] 2:29 Then [singing] there's been a little 2:31 trouble 2:34 since you came to my rescue. [music] 2:41 And if you like all of the rest, I would 2:43 have quit you long ago. But I couldn't 2:47 do that. 2:51 Oh, tell me now. Women in my never went 2:55 to hell. 2:58 [music] 2:58 Make a man crazy, make him cold as hell. 3:02 [music] 3:04 And a woman that you wish me well, 3:09 but it's trying. [singing] 3:11 Still going to have to find 3:14 my own way through. [music] 3:20 Like the mist of morning, my dream 3:23 remains [music] 3:26 hanging in the burnt fields of my 3:28 memories. [music] 3:31 Time disoray 3:38 [music] 3:39 behind me. 3:41 I'm searching solutions on the double 3:44 [music] 3:45 on his two [singing] tongue telephone. 3:51 [music] 3:53 My friend says you ain't got no real 3:54 troubles. [music] Just too many choices 3:58 that you left undone. [singing] 4:02 [music] 4:03 My friend says put an action to 4:05 [singing] those words. to put an action 4:07 to those words. 4:10 [music] 4:15 [music] 4:17 Good evening, good people. What is 4:20 happening? What's going down? Happy 4:22 Wednesday. 4:25 [music] 4:32 [music] 4:38 >> [music] 4:46 [music] 4:53 [music] 4:57 >> Daddy. [music and singing] 5:03 [music] 5:12 >> [music] 5:24 >> She came on him [singing and music] like 5:26 slow moving cold fronts. 5:33 His beard was warmer than [singing] a 5:35 look [music] in her eyes. 5:40 [music] 5:41 And it's uh in uh 5:45 [singing] 5:46 [music] 5:56 Um, let's see. Lots going on tonight or 5:59 or today. The past couple of days, past 6:01 week, shit's happening. [laughter] 6:04 Um, if if if you're sensing an 6:07 acceleration, 6:10 um, [clears throat] 6:11 keep in mind that November 30th was the 6:14 launch of Chat GPT in 2022. So, we're 6:17 coming up on the 3r year anniversary of 6:18 Chat GPT. Um, you've also got just the 6:21 end of the year like a you know the the 6:24 Frontier Labs are just like cranking 6:26 stuff out and and things are 6:28 accelerating so they're trying to get 6:29 stuff done before the end of the year. 6:31 So the next month is probably going to 6:33 be pretty intense. 6:36 [music] 6:42 [music] 6:49 >> [music] 6:55 [music] 7:04 [music] 7:09 [music] 7:17 >> So, what's happening? Corey Sandler, 7:21 there's a Canva keynote tomorrow at 7:22 10:00 a.m. One can sign up to watch 7:25 free. All right, let me guess. I'm going 7:27 to go out on a limb and say that Canva 7:30 is going to announce new AI features. 7:35 Because I'm smart. I'm clever. 7:38 [laughter] 7:41 I'm keeping up with the pulse of things 7:43 in AI. 7:44 [laughter] 7:48 It's going to be big. It's going to 7:49 change publishing. That's what I know. 7:52 [laughter] 7:53 Corey Sam, you think? 7:59 Um, 8:01 so while we wait for people to stream on 8:03 in, 8:06 um, 8:08 I keep mentioning this and I'm going to 8:10 keep mentioning this and I'm going to 8:11 keep mentioning this almost like it's a 8:14 daily thing. 8:16 Um, and that is are you treating AI like 8:19 a daily practice? like a practice like 8:22 like as Brandon said like breathing like 8:24 meditation like 8:28 expanding who you are 8:32 expanding the understanding of what is 8:35 possible with your intention. 8:43 [music] 8:48 I asked that question last night. 8:52 What are you doing? What are you doing? 8:53 And I think I I was poking on the 8:56 generously lead pillar. 9:01 And Claire Jacobs just like out of 9:04 nowhere kind of off-handedly says, "Oh, 9:08 [laughter] I've got one." 9:14 and she said, "I've been taking the poet 9:17 the poems from a 90-year-old Armenian 9:20 poet and putting them into suno and 9:22 turning them into songs and giving them 9:24 back to him." I was like, "Wait, what? 9:28 That's incredible." 9:31 Um, so we learned that last night. So 9:34 the people in this community, I have a 9:36 sneaking suspicion, 9:39 are kind of humble people 9:44 that are probably doing really 9:46 interesting [ __ ] and don't talk about 9:47 it. Um, 9:51 one a day this month. That's amazing. It 9:53 really like like Claire, I gotta tell 9:55 you, it's just, you know, I want to know 9:57 the story. Like we should we should 9:59 actually set up an interview. Um, and 10:03 uh, it's something that we're talking 10:05 about is putting some infrastructure in 10:07 place to be able to capture really cool 10:09 stories like that. But [music] like 10:11 that's one I just want to know the 10:12 story. I want to hear the songs. I want 10:14 to see the poems. I want to see his 10:15 reaction or hear his reaction. Just 10:17 amazing. 10:20 Let's talk about training data and rag 10:22 compare and contrast and put everyone to 10:25 sleep. We We can do that. we can talk 10:28 about 10:30 uh this evening we're going to be 10:32 discussing retrieval augmented 10:35 generation of course uh I mean it's it's 10:37 very similar to uh database retrieval of 10:40 course it's it's more predictive than 10:42 than the chaotic honestly uh large 10:45 language model the p predictive 10:47 generative uh output which is you know 10:50 as we know it's not not predictive it's 10:52 uh chaotic it's a little maddening and 10:56 uh but with retriev Augmented 10:58 generation, you can sort of put your 11:00 your data within the vector store and uh 11:03 uh retrieve uh hence retrieval in the in 11:07 the first letter of of the word the 11:09 acronym rag. [laughter] 11:11 So we're we're going to be diving deep 11:13 into into that tonight. So uh so get 11:17 your schemas ready. [laughter] 11:27 >> [sighs] 11:29 >> AI digital coach. Oh, no. [laughter] 11:34 Kyle, I started promoting products. Uh, 11:36 I'm on a Tik Tok affiliate program. 11:38 Awesome. Good for you. [music] 11:45 Snag the rag. [laughter] 11:50 >> [music] 11:52 >> Um, I spoke to a score group tonight as 11:56 a keynote. 11:58 Gave them your Tik Tok and YouTube 11:59 channel. Hope they visit. Well, great. 12:02 So, I don't know what score is. Is that 12:04 like a a small business thing? Source 12:06 camp. 12:08 Um, 12:10 I'm on the rag, bro. You're funny. 12:13 [laughter] 12:15 Let's make a new song. We can make a new 12:16 song. 12:19 Um, 12:20 yeah, score is a new business thing. So, 12:22 if and in fact, maybe uh let's see. 12:27 Enilam Creative Academy, I don't know if 12:30 you were at Kelly's thing tonight. If 12:32 anyone here is new, welcome. So, the the 12:35 the way this channel works, it like I 12:38 hope I hope Kelly didn't set your 12:40 expectations. I I hope she kept the 12:42 expectations low. It's called the AI 12:44 Learning Lab. I guess I am technically 12:46 your professor. I'm Kyle Shannon. I'm 12:48 the host of this here thing. And as you 12:50 can tell, we've got singing dogs and and 12:53 mediocrely played guitar. Um, 12:56 and we occasionally talk about some AI 12:59 stuff. 13:02 One of the things that has struck me is 13:07 that 13:10 just showing up here every night is a 13:13 daily practice. Um, and I hadn't thought 13:16 about it like that, but it is. And you 13:19 know, not just me showing up, but all of 13:21 you showing up. So, a lot of people like 13:23 Kelly and and Claire Jacobs and producer 13:26 Brandon and Vicki and Danielle, a lot of 13:28 people show up here night after night 13:31 and and for a long time, I couldn't I 13:33 couldn't quite figure it out. I'm like, 13:35 you know, I'm I'm sure you've got like 13:37 Netflix or something, right? And and and 13:39 what struck me is that is that the act 13:43 of just showing up here, just being in 13:46 this conversation, 13:49 it is a practice. It's a daily practice. 13:52 And it's what it what it allows you to 13:54 do when it comes to learning AI 13:57 is 14:02 like even though I was just making fun 14:04 of nerds with the rag thing, the the 14:07 retrieval augmented generation. 14:10 Um, understanding the components of AI 14:13 and what the tools are and how the tools 14:15 work and what they make possible 14:19 is very overwhelming when you first 14:20 start. It's very overwhelming if you've 14:23 been doing it for three years, right? 14:25 It's very overwhelming as the host of 14:26 this channel. You you literally can't 14:29 keep up with it. So, if if you're new 14:32 here and you're and you're trying to 14:34 figure out how do I actually keep up 14:35 with this stuff, um you don't you can't. 14:41 But what you can do is be in the 14:42 conversation. Be in the conversation. Be 14:45 in the conversation. 14:48 And that's what we do here sometimes. 14:52 it'll be really clear what we're doing. 14:54 Sometimes it won't be clear what we're 14:55 doing. A lot of times it'll be just 14:57 madness where I'm just ranting. 15:00 Um 15:02 [clears throat] 15:07 yeah, yeah, I got it. I got it, Brandon. 15:08 I'm getting there. Um 15:13 so welcome if you're new and just hang 15:17 out. Just hang out and 15:20 If you're not neurode divergent, if 15:22 you're neurotypical, [laughter] 15:24 this channel may drive you [ __ ] 15:26 crazy. 15:28 I will occasionally finish finish a 15:30 sentence. [laughter] 15:32 Um, if you're neurospicy, 15:34 it may it may seem a little more 15:36 familiar. Um, but we have some 15:39 neurotypicals in here. Not many, but 15:41 we've got some that survive. Um, but 15:44 just hang out. Just hang out. And what I 15:46 would encourage you to do is if there's 15:48 anything that I talk about or anything 15:49 that I do or whatever and you're like, 15:51 "Oh, I should go try that." Go try it. 15:53 Go try things in real time. If you get 15:55 bored of what I'm saying, which is going 15:57 to happen a lot, just go play. Just go 16:00 play with some AI tool. Try something 16:02 new. Just just go play. Go. Um, and just 16:05 be here and sort of let this drift in 16:07 the background. If you're on the e East 16:08 Coast, a lot of people use this as a way 16:10 to put themselves to sleep. 16:12 So, so anyway, so 16:16 I want to tell you about something 16:17 that's coming up um December 26th and 16:21 27th. So this is a thing that um so for 16:25 the last three years or last two years 16:27 and and this will be the third year Ann 16:29 Murphy and I 16:31 um being the neurospicy people that we 16:34 are we get bored toward the end of 16:36 December when everyone else stops 16:38 working [laughter] and takes a break and 16:42 Murphy and I are like we should probably 16:43 be doing something. No. So, so three 16:46 years ago we did GPT for good where we 16:50 just said anyone that wants to come 16:51 learn how to build GPTs, we're going to 16:53 build custom GPTs for nonprofits. And so 16:56 people came with their favorite 16:57 nonprofit. We built GPTs. It was 16:59 amazing. In 20, it was a 24-hour 17:02 GPTathon. 17:04 And we did um 150 GPTs for nonprofits in 17:08 24 hours. Really remarkable. It was just 17:10 amazing. And then last year, um, about 17:13 two weeks before New Year's, um, Ann 17:18 reached out to me and said, "Are we 17:19 going to do a thing this year?" 17:21 [laughter] 17:22 And I'm like, "Sure." 17:25 And so we put together in two weeks, we 17:27 put together what what was called AI 17:30 Festivus, AI for the rest of us. And um 17:34 last year we invited 35 speakers and 34 17:40 of them accepted 17:43 and and we're like because we knew we 17:45 were going to do a 24-hour thing. So we 17:46 figured if we'd asked 34, 24 would say 17:49 yes, maybe, right? You know, 34 out of 17:52 35 and the 35th one actually said yes, 17:55 but they just they had a conflict. They 17:56 couldn't do it. Um and and so we we put 18:00 panels together and things like that. 18:01 And so the way the event works is it's 18:04 Friday the 26th 18:07 um from 9:00 a.m. to 9:00 p.m. Eastern 18:10 and then Saturday from 9:00 a.m. to 9:00 18:12 p.m. Eastern. So it's 12 hours across 18:14 two days with a little nap time in 18:17 between. Um and it was absolutely a 18:21 remarkable thing. So if you're new to 18:23 AI, 18:25 you need to come to Festivus and you you 18:27 need to tell your friends about it. It's 18:29 free. It costs no money. the speakers 18:32 that come speak um volunteer their time. 18:35 And this is, you know, this is in the 18:37 holidays between Christmas and New 18:38 Year's. And what I found remarkable is a 18:40 lot of our speakers last year like 18:43 showed up at 9:00 a.m. on Friday and 18:46 stayed until 9:00 p.m. on Saturday. Like 18:48 they spoke at somewhere in the middle, 18:50 but they were just hanging out with 18:51 everyone. It was really remarkable. We 18:53 had 3,500 people sign up. We had 2500 18:56 people show up. We had concurrent um 18:59 views of about 560 19:02 um viewers on average per hour for for 19:06 24 hours. Um Valer Cox, I come for the 19:10 enthusiasm you have for this technology 19:12 and the encourage encouragement from 19:13 everyone. Awesome. And and that's you 19:16 know what what I can tell you that 19:18 festivist was last year was human. 19:23 Even though people were talking about 19:25 technical things like like I think of uh 19:28 CJ Fletcher he's a he's an AI artist and 19:31 he was teaching mid or he was teaching 19:33 stable diffusion how he makes images how 19:34 he prompts images 19:37 and 19:39 his talk started out and he said you 19:41 know 19:43 I'm going to talk to you about how I 19:45 make my images but I'm going to tell you 19:46 the first step that I do when I sit down 19:49 to make art. He said, "I close my eyes 19:52 and I breathe." 19:55 [laughter] 19:56 And he just he just sat in silence for a 19:59 moment. And it was just like you're just 20:01 like, "Where's this going?" And he was 20:03 just talking about just centering 20:05 himself and thinking about his 20:08 intention. What's he want to do? And it 20:11 was just this beautiful moment where 20:13 it's like, oh yeah, like there's 20:15 something about the endorphine rush and 20:18 the adrenaline rush of AI because it's 20:20 so fast. You're like, I got to I put in 20:22 my prompt and I got going to get the 20:24 images. I'm going and CJ was like, you 20:27 know what you should do? Breathe. It's 20:30 like, oh yeah, we can just be us. And 20:33 like to a person, even if people were 20:36 talking about technical things, they 20:38 weren't leading with that. What they 20:39 were leading with was here's how I think 20:41 about AI. Here's how I think about what 20:43 I want to do. Like I, you know, I feel 20:45 like an impostor up here speaking 20:48 because I just learned how to do this. 20:50 Right? There was there was a lot of 20:51 that. Everyone's trying to figure it 20:53 out. So, if you're new to this, tell 20:57 people about Festivist. And if you 20:58 could, Brandon, throw up the uh throw up 21:00 the image if you haven't done that 21:01 already. [clears throat and cough] 21:04 Um, 21:07 just mark the dates for now. We're going 21:09 to we're going to put together a sign up 21:11 form here shortly, but there's I think 21:13 57 days now. So, if you're doing your 21:17 Advent calendar, you can you can start 21:19 today. Start marking off days until 21:21 Festivus. So, December 26th and 27th. Um 21:25 AI for the rest of us. Um if you're 21:28 like, "Hey, Kyle, but that's the holiday 21:31 that I'm spending with my family. Why 21:33 are you doing a 24-hour 21:36 uh AION in the middle of that? Well, 21:40 have you ever spent time with your 21:42 family? 21:43 You you you know by the 26 you know by 21:46 that Friday you'll be sick of them, 21:48 right? Like you know how that goes. 21:50 You're really excited the first two 21:52 days. The third day you get in a 21:54 argument with Uncle Jess and by the 21:56 fourth day you're like I just we got I 21:58 got to go. I got to I I can't can we 22:00 change our flight? No. 22:02 So, you know what you do now? You've got 22:05 festivists. You just tell people, "I I 22:07 got a business thing. I got to go do 22:09 this business thing. You just come hang 22:11 out with us." All right. So, that's what 22:13 that's about. [laughter] 22:18 [music] 22:22 That's actually a good idea, Mary. Do an 22:24 advent calendar that tells you which AI 22:26 tool to play with between now and 22:28 Festivus. Actually, that's a fun idea. I 22:30 know. Hey, Brandon, I'm not supposed to 22:32 open loops. If Andy, if you're 22:35 listening, just just go get yourself a a 22:38 warm milk right now. [laughter] 22:44 But we really should put together an 22:45 advent calendar or do like a daily post 22:48 from now until Festivus about some tool 22:50 to go play with. I like that. It's in in 22:52 line with the practice thing. 22:56 I don't know who's going to do that, but 22:57 anyone wants to volunteer to do that. 23:00 Let [clears throat] Brandon know. 23:04 Oh man. 23:06 [sighs] 23:08 You go to the washroom [laughter] and 23:10 then sit down and join Festivus. 23:12 Exactly. You're just like, "Hey, yeah, 23:14 I'll have some leftovers. Can you put 23:15 that into a sandwich? I got to run to 23:17 this this business call. When's it 23:19 start?" "Uh, nine." "Oh, that's like in 23:21 10 minutes." "Yeah, it's just nine." And 23:23 then I'll just do that. And when's it 23:25 over? Um 900 p.m. Saturday. 23:30 That That That's tomorrow. Yeah. Yeah. 23:32 Yeah. I'll just I'll be in there. I'll 23:34 be in the home office. If you could just 23:36 bring me water so I don't dehydrate, 23:38 that would be great. 23:43 [music] 23:47 [music] 23:50 I have lovable. I've been unlovable, but 23:53 I don't know how to move unlovable. 23:56 [laughter] 24:01 [music] 24:05 Oh, wait. 24:09 [music] 24:21 Um, okay, champ. I'll let you be. Sorry 24:24 about that. I didn't realize I was 24:25 playing guitar. Um, Kyle, scroll back. 24:28 If you want some inspo for Suno tonight, 24:31 just an idea if you feel like using me. 24:34 9 until 9, 24:37 you go to the rost room, sit down, and 24:38 join Festivus. Is that your song idea? 24:41 [laughter] 24:45 Uh, let's see. 24:49 June Mary is definitely going to be at 24:51 Festivus. Good. You got to be there. You 24:54 got to be there. Like honest to God, 24:56 it's the spirit of 25:02 people 25:05 like the generosity of the speakers and 25:07 the 25:09 generosity of the audience 25:12 to just like be enthusiastically there 25:15 like cheering on the speakers and the 25:17 speakers cheering on the audience. 25:21 it like it was it was so intoxicating 25:24 that we got to the end of this 36-hour 25:27 run. So it was 900 p.m. Saturday night. 25:29 We're like Anna Anna and I were like, 25:31 "Okay, we're wasted. We're going to 25:33 bed." And the audience was like, "Can we 25:36 keep hanging out?" And we hadn't planned 25:38 for that. So we kind of just said, "Go 25:40 deal with it on your own." And I think 25:42 there was kind of a rogue afterparty. Um 25:45 and so this year we're going to actually 25:46 have an afterparty. I don't think Ann or 25:48 I are gonna probably be there for much 25:50 of it because, you know, we're old. 25:52 [laughter] 25:53 Well, I am. 25:57 And uh but but we're going to have that 25:59 this year. But it was just it was really 26:01 really kind of magical and it and it was 26:03 it was just awesome. Corey pin. Okay, 26:04 great. An idea. Take the image and 26:08 upload it to chat GPT and ask what could 26:12 a song 26:15 [sighs] 26:15 Tik Tok. 26:20 There's Let me explain to you one of the 26:24 crimes in my life. 26:27 When you pin a When you pin a comment on 26:29 TikTok, it shows two lines of text, but 26:32 it allows you to input up to three lines 26:34 of text. And so if you want to expand 26:37 the two lines to read the other 26:39 sentence, there's a little microscopic 26:42 drop-down menu where the the the point 26:45 that you touch is smaller than the 26:47 microscopic dropown menu. And there's 26:49 like three other interface elements 26:52 around it. So [laughter] So I'm 26:54 constantly trying to expand the little 26:56 thing so I can read what someone wrote. 26:58 So I don't know what the end of your 27:00 sentence was. 27:03 a song about for for Eloise. 27:07 I don't How's that tied to Festivus? Is 27:09 it Festivus? Wait, wait. Oh, the Eloise 27:12 image that you uploaded. Wait, let me 27:14 see if I can hit the little button. I 27:16 did it 27:19 about the Eloise series. 27:22 This is for your Sunno song. 27:29 But wait, I'm still confused. Is Eloise 27:32 in the song I wrote or is isn't Eloise 27:34 that image that you did, Corey? 27:37 Check your regulars. 27:46 [clears throat] 27:48 Oh, here we go. Oh, there's Eloise. 27:50 Nice. 27:52 Another part of working through a series 27:54 on Eloise. 27:57 Anyone else feeling inspired 28:00 after this week's two shows? I love it 28:02 when Kyle gets like this. It inspired 28:03 me. Oh, that's nice, Sharon. I can't 28:06 wait to go along for the ride. Oh, this 28:08 is great. These are great, Corey. Wasn't 28:10 there another one? Or was this the one 28:12 from last night? Yeah, this the one from 28:14 last night. 28:15 >> That would be nice if all of us could 28:17 see what she's 28:18 >> I know. Look how pretty. Look at that. 28:21 Look how nice. 28:24 All right. So, 28:26 let's do Okay. So, here's what we're 28:28 going to do. 28:29 We're going to just go play. 28:32 So, while I'm here, we're going to come 28:34 back to that for a second. While I'm 28:36 here, if you're new here, 28:41 and you haven't seen this, this, 28:45 if you go to the salon.ai AI that 28:49 Brandon just put up there 28:52 and then click on join our community. 28:54 When you get to the first little space, 28:56 there's a welcome video there from Leah 28:58 Fasten and I and then right below that 29:00 is this image and it's we call this the 29:03 cycle of AI readiness. And 29:06 um if you haven't seen this before, the 29:08 whole idea here is 29:12 rather than put a bunch of pressure on 29:14 yourself that you have to learn AI, it I 29:17 just I just testified to the New Mexico 29:20 science and technology committee for the 29:22 legislature there and I showed this 29:25 graphic and I and I talked about this 29:27 this idea and I said, you know, for one 29:30 thing, if you're trying to keep up with 29:32 what's going on in AI, you can't like I 29:35 can't I do it every day and I can't keep 29:36 up with it. Um and I said 29:41 rather than putting pressure on yourself 29:42 that you have to learn AI, just go play 29:44 with it. Just go play. Just go play. Go 29:47 play. Remove the expectations. Just go 29:49 play. And then create excellence is like 29:51 after you play and learn some things, 29:54 now you can start to say, "Huh, I've got 29:56 an idea to blank, to do something 29:58 interesting, to write a song, to write 30:00 an album, to whatever, write a musical." 30:03 Um, 30:06 new folks, what is 30:07 community.thesalon.ai? 30:10 Um, okay. So, 30:14 when you go to when you say join our 30:16 community or if you go to 30:17 community.thesalon.ai, 30:20 that takes you to our community website. 30:23 So, it's built on top of a platform 30:24 called Mighty Networks, which is 30:26 irrelevant. It doesn't really matter 30:27 what platform it's built on, but that's 30:29 the place where people can go hang out 30:32 together. And in between these meetings, 30:34 so like on these meetings, you can chat 30:36 with one another, which is super cool. 30:37 And that's a big part of this community 30:39 is hanging out during these lives and 30:42 supporting one another. But in between 30:44 that, you can go to the AI salon and 30:46 this is the little welcome um area. 30:49 There's sort of this five-step start 30:51 your adventure. You know, introduce 30:53 yourself is a big important part of this 30:55 community. So, if you haven't introduced 30:57 yourself to the community, do that. Um, 31:01 and and then there's uh a community 31:04 feed. If you just want to jump in and 31:06 see what events we have coming up or 31:08 just jump in and and start a 31:10 conversation, you can do that. There's a 31:12 play area. There's a learn and grow 31:15 area. There's an advocacy and policy 31:17 area. And then we've got a couple of 31:18 other things in there. So, there's lots 31:20 and lots of things to do here. One of 31:23 the areas inside play and create is 31:25 called the AI learning lab I irregulars 31:27 channel and that's this group. So we 31:29 have our own space and you can go play 31:31 in there. So what I'm going to do is I'm 31:33 going to take Corey Sandler's picture 31:35 here. Actually I'm going to take two of 31:36 them and we're going to jump over to 31:38 chat jeopa. 31:41 [snorts] 31:42 Excuse me. So there's one of the 31:45 pictures. Let me go grab the other one. 31:47 Oh file failed to upload. Awesome. Let 31:50 me reload this page. 32:00 [clears throat] 32:03 Copy image. [gasps] Copy image. 32:08 Copy image. Paste. 32:11 All right. So now we have 32:16 So I'm going to say this is Eloise. 32:22 What is her backstory? 32:29 if you've not tried that little prompt 32:33 before in chat GPT. So like go to 32:35 midjourney or go somewhere and make an 32:37 image or take a picture of yourself or 32:39 whatever you know yourself in costume or 32:42 just do do some some kind of crazy 32:45 character and go into chat GPT and 32:48 upload that image and say what was 32:52 what what's their backstory or what's 32:54 the backstory of this image and chat GPT 32:56 is really good at it. Eloise grew up in 32:58 a town that never quite fit inside the 33:01 lines. The streets were slightly 33:03 crooked. The clouds always seemed to 33:05 pause for a bit of daydreaming before 33:07 they drifted on. And the trees swayed in 33:09 time with music no one else could hear. 33:12 [snorts] From the time she was little, 33:14 Eloise had a way of noticing things 33:16 differently. So, and it italicized that 33:21 she saw colors where others saw shadows, 33:23 rhythms in silence, and stories in the 33:25 patterns of falling leaves. Her mother 33:28 used to say that she was stitched 33:29 together with wind and laughter. And her 33:31 father, an absent-minded toy maker, 33:34 believed that she had been born from a 33:36 wish he'd made on a comet. 33:39 Um, she became known around town as the 33:42 girl who could change the weather of of 33:44 a room simply by entering it. I love 33:48 change the weather of a room. I love 33:49 that. When she was happy, curtains 33:52 fluttered without a breeze. When she 33:54 danced, lamps flickered brighter. Some 33:57 people said she was touched by magic. 33:59 Eloise always denied that. She said she 34:01 was just listening properly. Beautiful. 34:04 Beautiful. 34:06 Um, every morning she'd start the day 34:09 with a ritual, a swing under the old 34:12 sycamore. Back and forth she'd [snorts] 34:14 she'd go, eyes closed, hair alive, 34:18 um, with with wind, dreaming of 34:20 possibilities. And in the evening, she 34:22 danced through the town square, her coat 34:24 a kaleidoscope of color, her boots 34:26 tapping out the language only joy could 34:28 understand. But here's the secret. 34:31 Eloise's joy wasn't naive. She'd once 34:34 known heartbreak, deep bone level loss. 34:37 This is good, Corey. [laughter] 34:40 I I think I'm going to grab this and 34:42 I'll put it over in inner regulars. I'll 34:44 do it as a comment to the post. [snorts] 34:46 Um, 34:49 so it's a 30 day calendar of AI tools. I 34:52 can make that beautiful actually. Yeah, 34:54 I was thinking we could vibe code that. 34:56 Well, I'd actually like it to be it can 34:59 be more than 30 days. So, so it's 35:01 basically counting backwards from the 35:02 26th of December to today. So, or or 35:06 like whenever we want to create the 35:08 calendar from. [laughter] So, so if we 35:10 did it from today, it would be a 57day 35:12 advent calendar of different tools that 35:14 but that would be cool. If if if you 35:16 want to if someone wants to grab 35:18 creative AI digital coach uh and uh and 35:22 just coordinate with her, I think her 35:24 that would be great. Okay, but here's 35:27 the secret. Eloise's joy wasn't naive. 35:29 She'd once known heartbreak, deep bone 35:30 level loss that nearly unstitched her 35:33 spirit. Instead of shutting down, she 35:34 learned to weave sorrow into beauty, to 35:37 let every gust of pain feed her light. 35:40 Her 35:42 her laughter carries a trace of ache, 35:44 which is why it feels like sunrise after 35:46 rain. Now, if you pass through her town, 35:50 you might hear the faint creek of a 35:52 swing or see the flash of swirling. This 35:54 is a This is weirdly like um Weird Mary. 35:58 Um that's Eloise reminding the world 36:00 that the art of living is equal parts 36:03 grief and grace often carried lightly on 36:06 the wind. Um would you like me to 36:08 continue the story? I'm going to say 36:09 that's beautiful. Um that's beautiful. 36:14 Um, 36:17 I want you to tell me about 36:22 your five favorite 36:27 songs that 36:30 Eloise has ever written. 36:34 So rather than saying I want Chat GPT to 36:37 write a song, we're gonna we're going to 36:38 have Chat GPT reveal Eloise's songs. 36:42 This could be good. 36:43 >> [laughter] 36:47 >> Oh man. Okay. Wind in my pockets genre. 36:52 Whimsical folks folk walts with a sigh 36:54 of jazz. Mischievous freedom. Eloise 36:58 wrote this one after she sold her last 37:00 pair of gloves to buy paint for her 37:02 walls. It's a song about the beauty of 37:04 almost having nothing but feeling like 37:06 the richest soul alive. The chorus goes, 37:09 "Got the wind in my pockets and joy in 37:11 my seams. a thread bare coat full of 37:14 foolish dreams. It's become the 37:17 unofficial anthem of wanderers and 37:20 optimists everywhere. Oh, I think I we 37:22 got to we got to do wind in my pockets. 37:25 We got to do wind in my pockets because 37:27 the the unofficial anthem of wanderers 37:29 and optimists if if ever there was a uh 37:32 a a uh you know a tag for this for this 37:36 group. [laughter] 37:41 Corey's like, "Oh my god, I know. It's 37:44 amazing. The sky remembers me. A lyrical 37:46 ballad with soaring strings, 37:47 bittersweet, and eternal. This one she 37:49 wrote after she fell in love on a train 37:51 that never came back." 37:53 Wow. 37:55 After her her [clears throat] first 37:57 love. Oh. Left on a train that never 37:58 come back. It's not a sad song. Exactly. 38:01 More reverent. Goodbye to innocence. The 38:03 melody rises like dawn. 38:08 We We live in remarkable times. Oh, 38:11 look. Make a CL playlist connect 38:13 Spotify. So if you don't know this 38:15 within chat GPT right now they announced 38:17 things called apps. And apps are apps 38:21 like Spotify and Door Dash and I don't 38:24 know whatever the [ __ ] else, Expedia, 38:26 things like that. Um where you can 38:29 actually do things within Chat GPT that 38:32 are that are being pulled in from other 38:34 websites. It's basically like a little 38:35 web window for that application. 38:40 Um, [clears throat] 38:44 what was the what was the one called? 38:47 Wind in my pockets. 38:50 I think I need to see the lyrics of Wind 38:56 in my pocket. 38:58 And I want you to 39:02 give me a two let me a description 39:10 of 39:13 the song 39:16 musically. 39:18 All right. [clears throat] 39:27 Perfect choice 39:29 song begins with a lazy. Okay, here's 39:35 I ponded my gloves for a brush in a tin. 39:37 Painted the moon where the walls grew 39:39 thin. 39:41 Laughed when the landlord came to call. 39:43 Said I may be broke, but I've got it 39:45 all. 39:48 All right. Got the Okay. 39:54 No, just give me a prompt for a music 40:00 generator. 40:02 Um, we're we're going to try try 40:04 something fun tonight. We're going to 40:09 um I'm going to go write this song in 40:12 three different tools. 40:14 So, Sunno is kind of the Mac Daddy of 40:18 the music generator tools out there 40:19 right now. 40:22 UDIO is one that's that's was very good 40:25 and was kind of neck andneck with with 40:27 Suno for a while and then they kind of 40:28 faded a bit. And then the other one I'm 40:31 going to use is called um uh producer.ai 40:36 used to be called Refusion. 40:38 Create a whimsical acoustic 68 time. So 40:42 this is a 68 40:44 whimsical acoustic folk. Okay. So 40:47 there's our music prompt. 40:52 So, what am I going to do? I'm going to 40:54 go put this in a notebook. So, there's 40:58 the music prompt. 41:01 Let me go grab the lyrics. 41:05 [clears throat] 41:07 [singing] 41:21 80 deers. Winter is coming. Yeah. You 41:23 know what I noticed this morning? It was 41:25 chilly. [laughter] 41:28 And what are all those yellow leaves 41:29 around my car? 41:34 Oh man. Oh, thinking of Serena. Oh, 41:36 that's so sweet. I know. She's amazing. 41:39 So, if you didn't know Serena, Serena um 41:42 was the original, the OG Irregular. So, 41:49 Serena came to my very first live. 41:51 Serena was a fan of of my channel before 41:54 I started doing lives. So, so just when 41:56 it was a Tik Tok channel. And then I 42:00 said I was going live one night and 42:02 Serena showed up and she was at every 42:05 single live like ever. Like she didn't 42:08 she didn't miss one. And about 3 months 42:12 in or I don't know two months into doing 42:15 the lives, I noticed that all these 42:18 people kept showing up. They were all 42:20 the same people like Serena and I'm like 42:24 who are you people? Like I said, you're 42:26 [ __ ] weird. you're you're [ __ ] 42:28 weird. What's going on? And Serena just 42:31 immediately, like without hesitation, 42:34 she was very quiet. She didn't say much 42:35 of anything, but she immediately clapped 42:39 back. She goes, "We're not weird. We're 42:41 irregular." [laughter] 42:46 Oh my god, she was amazing. She was 42:47 super sweet, super supportive. um she 42:51 really kind of set the tone for 42:54 the generosity and the sweetness of the 42:57 people in this community and she 43:00 unfortunately passed away this year over 43:01 the summer and uh we miss her dearly. So 43:05 So yeah, I'm glad you said that. Um 43:09 Serena's handle was whose wife? She was 43:11 Alio's wife. That was her handle was 43:13 Alio. Amelio's wife. And so anyway, um 43:18 yeah, she was just absolutely amazing. 43:20 So I'm glad you said that, Source Camp. 43:24 Okay, let's jump over to 43:28 um to Sunno. And if you haven't seen 43:31 Sunno, these this tool is remarkable. 43:35 Fabiana, I cried. I know. I did too. I 43:37 Yeah, she like I honest to God, it's 43:40 like you know that song Only the Good 43:41 Die Young. like like 43:44 I mean she was such a generous heart. 43:47 She was a teacher and she was she just 43:50 loved this community. She just loved 43:52 this community, you know? She loved 43:54 Champy. She like remembered people's 43:57 birthdays, things like that. Um, if you 44:00 were writing a song and couldn't get 44:01 vocals right, would you call that 44:05 something? 44:07 What would I call that? I would call 44:09 that a pain in the ass. Oh, those Eloise 44:12 lyrics reminded me of Serena. Oh, that's 44:14 very sweet. Okay, so here we are at at 44:17 [clears throat] Sunno. 44:20 So, I'm going to jump in here. Um, I'm 44:23 going to pop the lyrics in here. 44:54 What's amazing about Sununo and all 44:56 these tools quite frankly is it's going 44:58 to take me longer to just like format 45:00 the lyrics than it will to make the 45:02 songs. Okay, so that's that. So, let me 45:05 go grab the the music prompt. 45:10 I'm going to come back over here and 45:12 we're going to throw in 45:16 There's the music prompt. And you can 45:18 [clears throat] do more than 200 45:19 characters now, which is great. 45:22 Hang on a sec. 45:27 Should I change my name? Nobody takes me 45:29 seriously. They think I'm about AI 45:32 Rising. Um, 45:37 I have an idea. I don't know what your 45:39 first name is, but what about this? What 45:43 if, cuz I think this is what your name 45:45 implies. 45:47 Um, 45:49 what if it's your first name rising? So, 45:50 if your name is Jim, Jim Rising or or 45:53 Mark Rising or whatever it might be, 45:57 and that you're using AI to do that, the 45:59 that I I'm I'm [clears throat] 46:02 increasingly passionate about um 46:10 being the counterveiling force 46:13 [laughter] 46:13 that I want the AI salon to be this 46:15 counterveiling force that a lot of the 46:18 world looks at AI as this advers 46:20 adversarial thing. It's like us against 46:23 AI. AI is out to take our jobs. AI is 46:25 out to be smarter than we are. AI is out 46:28 to like it's this adversarial thing. 46:31 The people in this community 46:34 don't see it like that because it's not 46:37 that if you don't treat it like that. 46:39 What what AI is is it's a reflector and 46:42 it's an amplifier and what it amplifies 46:45 is what you feed it. And so if you feed 46:47 it just like prompts like, you know, 46:50 give me a give me a song, it'll write 46:52 you a shitty song. But rather than, you 46:56 know, feeding it just a crappy prompt, 46:58 you feed it your ideas. You take your 47:00 humanity and feed that into the AI, it 47:04 reflects that back to you and amplifies 47:05 it. So it takes your ideas and amplifies 47:08 them. And so I think it's not AI rising, 47:12 it's you rising using AI. So, that might 47:14 be a thing that'll get you a little less 47:16 [ __ ] from the haters. [laughter] 47:20 [snorts] The truth [clears throat] is 47:21 that capitalism's out to get you. AI 47:23 Rising, you can watch it back 47:27 on YouTube if it glitched. Oh, okay. 47:29 Yeah. Yeah, exactly. Okay. So, anyway, 47:31 let's get back to this thing. So, we're 47:33 going to definitely have this be a woman 47:35 singing, right? Or does it matter? Yeah, 47:39 I paused my gloves, so it's got to be 47:40 Eloise. So whimsical acoustic featuring 47:43 clarinet upright bass. The tempo should 47:46 be the mood is playful yet soulful. 47:49 Imagine a free spirited red-headed woman 47:52 singing about finding joy while being 47:55 broke. Her voice is warm textured 47:57 slightly raspy. Okay, good. So it 47:59 describes her voice. So let's just go. 48:01 We're going to turn on advanced 48:02 features. We're going to say female 48:05 because we want that. We're going to 48:07 throw up weirdness because Eloise is 48:09 from this weird town. So, we'll throw 48:11 that up to like 70. Style influence is 48:14 fine at 50. Song title, what was it 48:17 called? 48:19 Um, 48:25 Wind in My Pockets. 48:29 [snorts] 48:34 So, Corey, this is your song. So, you're 48:37 going to have to be my my Rick Rubin 48:39 here. You like I'm the I'm the musician. 48:43 I'm the prompting musician in the booth. 48:45 Like, I'm working the console here. Uh 48:47 wind in my pockets. Um so, you're going 48:50 to have to tell me. Nah, that one makes 48:52 me feel orange. You're going to tell me 48:53 which one you like. And if you want to 48:55 if you want to modify the prompt. So, 48:57 here we go. All right. So, all of that 48:59 we just did was just putting the prompt 49:01 in there. So, now that the prompt's in 49:02 there, we'll have a song in about 30 49:04 seconds. If you haven't seen this 49:06 before, it's pretty crazy. 49:09 Got to field feels. Can you add cello? 49:13 It was a serious question. That was a 49:15 ser that was a serious answer. Um I 49:18 think you should change your name to 49:20 your name rising. Um I think if you just 49:23 say a AI rising, it makes sense that 49:25 people think it's a bot. You're putting 49:27 the AI front and center. Um and and what 49:31 what was your question? Is there 49:32 something wrong with your name? 49:35 How deep is our humanity to birth new 49:37 music? 49:40 AI is like Stephen King's The Stand. 49:43 Cello also got to feel the fields. Can 49:46 you add? I love you, Kyle. I am not a 49:50 blank AI. I'm Gen X. Try us, 49:52 [ __ ] [laughter] 49:56 I didn't think you were AI. [laughter] 50:01 Okay, 50:05 that's pretty funny. Okay, let's see. 50:07 Styles in the wind. Um, let's see. 50:11 Upright bass accordion. So, let's do 50:14 featuring clarinet cello. 50:18 Accordion. 50:20 All right. So, so the last two are the 50:24 first two are without cello. The last 50:26 two are with cello. Okay. Here we go. 50:30 Nice. 50:32 [music] 50:37 I 50:40 >> What did I do? 50:44 [music] 50:50 [music] 50:51 When the landlord came to call, said, "I 50:55 may [singing] be broke, but I've got it 50:57 all. Got the wind [music] in my pockets, 51:02 joy in my seams, [singing] 51:03 a threadbear, coat, [music] full of 51:06 foolish dreams. Can't buy much, but I'll 51:10 never be [music and singing] poor long 51:12 as I've got laughter knocking at my 51:15 door. 51:17 [music] 51:18 Found a coin [singing] on the cobble 51:21 lane. Spent it on tea and the rest on 51:25 rain. The clouds. 51:28 >> All right. 51:30 [clears throat] 51:31 [music] 51:41 I pawn my gloves [music] for a brush 51:45 [singing] and tin. 51:48 Painted the moon where the walls [music] 51:51 grew thin. 51:54 Left when the landlord came to [music] 51:57 call. 51:59 Said I may be broke, 52:01 but I've got it all. 52:04 >> [music] 52:04 >> Got the wind in my pockets. Joying my 52:08 seams a threat coat full of foolish 52:10 [music] dreams. Can't find much, but 52:13 I'll never be bored. 52:16 [music] Long. 52:23 [laughter] 52:24 All right, there's that one. Here's 52:26 next. [music] 52:28 >> Oh, this is good. 52:31 >> I like this. I pawn [music and singing] 52:33 my gloves for a brush and tin. 52:38 Painted the moon [singing] where the 52:40 walls grew thin. [snorts] Laugh when the 52:44 landlord came to call. Said, "I may be 52:50 broke, [music] 52:50 but I've got it all." Got the wind in my 52:55 pockets, joy [music] in my [singing] 52:58 seat 53:00 bear full of foolish dreams. 53:04 Can't [music] buy much, but I'll never 53:08 be poor. 53:10 Long. 53:17 >> She's very sweet. I like that one. That 53:18 one's That one gets a thumbs up. I think 53:21 Corey liked it. 53:24 >> [music] 53:30 [music] 53:35 >> I upon my gloves [music] 53:37 for a brush [singing] and tin. 53:41 Painted the moon where the walls [music] 53:44 grew thin. 53:46 Laughed when the landlord came to 53:50 [music] call. 53:52 said, "I may be broke, but I've got it 53:55 all." 53:57 >> She sounds like Jenny Lewis. Sounds like 53:59 Jenny Lewis and the the the white rabbit 54:02 coat. You know that song? 54:06 [music] 54:11 >> A threadbear 54:13 full of foolish [music] 54:15 dreams. 54:17 Can't buy much, [singing] but I'll never 54:20 be [music] poor. Long as I've got 54:23 laughter knocking at my door. 54:27 >> All right. Which one, Corey? That one or 54:29 the I think this third one. 54:34 >> Hell yes. Two, three, and four. All 54:36 Yeah. Yeah. These are They're all good, 54:38 aren't they? There's something about the 54:39 third one. The innocence of the third 54:41 one's voice, but your image looks more 54:44 like the voice of the 54:46 >> [music] 54:58 >> upon my gloves [music] for a brush and 55:01 tin. 55:03 All right, there's the there's the vote. 55:05 So, deal of the day. I like I like your 55:07 voting thing. Sounds Parisian. Yeah, it 55:08 does. Uh 3142. 55:11 Anyone else have have the order that 55:14 that they uh they like the songs? 3142. 55:19 I'm three or four right now, I think. 55:21 Let me hear one again. [music] 55:29 [music] 55:33 [singing] 55:36 >> Professor Crystal. No. [laughter] 55:41 The professor has spoken. No. 55:46 [music] 55:53 Okay. The space the space in number four 55:56 is very 55:58 is very 56:00 [sighs] 56:01 wait [snorts] very 56:04 scarce I think you meant to say. And I 56:06 think I like that for her. Yeah. I think 56:08 num number four I like as well. Let's 56:10 let's create two more. So So three is 56:13 strong. I think we're leaning toward 56:15 four. And again, this is Corey's Cory's 56:18 our Rick Rubin tonight. So Corey's 56:20 opinions weigh heavier tonight cuz it's 56:23 it's for her thing. And then we're going 56:25 to go turn this into a video, by the 56:26 way. 56:29 [music] 56:36 upon [music] my gloves for a brush and 56:39 tin. Painted the moon where the 56:42 [singing] walls grew thin. Laughed when 56:45 the landlord came to call 56:51 it. 56:54 Got the wind [music] in my pockets in my 56:57 seam. 56:59 >> That's strong. [music] 57:01 I like this. This feels like like gypsy. 57:06 Like gypsy. 57:10 [music] 57:12 I put on my gloves for a brush [singing] 57:14 and tin. 57:16 Painted the moon where the walls grew 57:19 thin. [music] 57:21 Laughed when the landlord [singing] came 57:23 to call. Said, "I may be broke, but I've 57:28 got it [music] all. 57:32 Got the [music] wind in my pockets, joy 57:35 in [singing] my seams, a threadbear code 57:38 full of foolish dreams. Can't buy much, 57:43 but I'll never be poor. Long as I've got 57:47 laughter [music] knocking at my door. 57:54 >> That one, the chorus is really clearly a 57:58 chorus. Let me go listen to four again 58:00 because 58:01 let's see. One, two, wait, which one was 58:04 it? One, two, three, four. 58:08 [music] 58:14 [music] 58:20 I p my gloves for a brush [music] and 58:24 tin. 58:25 painted the moon where the walls 58:28 [music and singing] grew thin. 58:30 Laughed when the landlord came to call. 58:35 [music] 58:36 Said I may be broke, but I've got it 58:40 all. 58:42 Got the wind in my [music] pockets, joy. 58:48 >> All right. I like that chorus, too. I 58:50 like the little harmony there. It's got 58:51 that little swing to it. I I think it 58:54 might be four. Let's here here's six 58:56 again 58:59 [music] 59:07 [music and singing] for a brush and tin. 59:10 Painted the moon where the walls [music] 59:13 grew thin. Laughed when the landlord 59:17 came too cold. [music] Said [singing] I 59:19 may be broke but I've got it all. 59:26 Got [music] the wind in my pockets, joy 59:29 in my seams, a [music and singing] 59:31 threadbear code full of foolish dreams. 59:35 Can't buy much, but I'll 59:37 [music and singing] never be poor long 59:39 as I've got laughter knocking at my 59:43 door. 59:47 Found [music] a coin on the lane. 59:51 >> Yeah, I agree. Six is a bit happier. 59:53 Four's four is a little more melancholy. 59:55 So, what is it, Corey? How's Eloise? Is 59:59 she This is her signature song. Wait, 1:00:01 what did it say in chatbt? 1:00:04 It said um 1:00:08 It said Eloise wrote this one after she 1:00:11 sold her last pair of gloves to buy 1:00:13 paint for her walls. It's a song about 1:00:15 almost having nothing but feeling like 1:00:18 the richest alive. It's become the 1:00:21 unofficial anthem of wonderers and 1:00:23 optimists everywhere. So, do we go with 1:00:26 six? Maybe she's on stage under a circus 1:00:29 tent and your creepy circus guy from 1:00:32 last year is on the outside. That's 1:00:34 really funny. 1:00:36 So, six from side hustle Mimi. 1:00:40 Uh uh uh uh 1:00:42 I think for for optimists I think it's 1:00:46 six. 1:00:48 wonderers and optimists. 1:00:52 [music] 1:00:58 [music] 1:01:05 >> Wait, so from Hey Kyle, can I share the 1:01:08 advent calendar with you or Brandon? I 1:01:11 started it in lovable. Yeah, share it 1:01:13 with um share it with Brandon. So, just 1:01:16 tag Brandon in the AI salon before is so 1:01:19 good, too. I know. Well, which one do 1:01:20 you want to make a video of? Cuz because 1:01:23 it's going to take a while to render 1:01:25 some some video stuff. Um, 1:01:29 I have one of the co-founders of Chat 1:01:30 GPT at my house right now. Surreal. Wow. 1:01:33 Awesome. Hello. And by the way, AI 1:01:36 Rising, thank you for the kind words you 1:01:37 said earlier. That was very, very sweet 1:01:39 of you. Um, which co-founder? Anyone 1:01:42 we'd know? [clears throat] 1:01:46 I like the intro of four a bit better. 1:01:53 [laughter] Okay. Yeah, exactly. So, so 1:01:55 AI Rising, I don't know if you knew 1:01:57 this. So I it sounds like you've seen me 1:02:00 on the lives for a while. So, I don't 1:02:02 know if you know this, but like one of 1:02:03 my one of my things is that I deeply 1:02:06 believe that that OpenAI needs to hire 1:02:09 some Gen Xers and they they need and 1:02:11 they need to hire some liberal arts 1:02:13 majors and they need to hire a Gen Xer 1:02:15 that they just put in the corner office 1:02:17 and and my only job is to sit there and 1:02:20 [ __ ] about stupid [ __ ] like you can't 1:02:22 generate an image in 16 by9 [laughter] 1:02:26 or you know the naming conventions that 1:02:28 that there's just a respected angry Gen 1:02:31 Xer just waiting for them. No, you can't 1:02:33 release that. No, you can't release No, 1:02:36 back into the lab. [laughter] 1:02:38 So, so if there's an opportunity for a 1:02:42 uh an articulate Gen Xer with with a 1:02:45 with an arts degree [snorts] um inside 1:02:48 Open AI, have Sam give me a call. 1:02:52 [laughter] 1:02:54 I can't name him. He's the sweetest man 1:02:56 on the planet. It actually doesn't 1:02:57 surprise me. I mean, the the uh I really 1:03:00 do feel like the the people within Open 1:03:02 AI are are are just trying to figure 1:03:05 this [ __ ] out. Like I they get they get 1:03:08 a lot of [ __ ] for um they got a lot of 1:03:12 [ __ ] for 1:03:14 being as powerful as they are, which I 1:03:16 understand and there's there's a lot of 1:03:17 responsibility with that. But I really 1:03:19 do just get the sense they're trying to 1:03:20 figure this [ __ ] out. So anyway, that's 1:03:22 cool. Super cool. Um let's see. Is angry 1:03:27 Gen Xer redundant? Aren't we all angry? 1:03:29 Yeah, it's a really good point. Sorry. 1:03:31 They just need a Gen Xer in the corner 1:03:33 office. [laughter] 1:03:39 [gasps] Okay. Which one are we doing, 1:03:40 kids? All right. So, how are we going to 1:03:43 do this? We've got to we've got to do a 1:03:44 vote here. So, we're going to vote 1:03:46 between four and six. So, here's four. 1:03:51 [music] 1:03:58 >> [music] 1:04:03 >> Upon my gloves for a brush and tin 1:04:08 [music] 1:04:09 painted the moon where the walls grew 1:04:12 thin 1:04:15 when the landlord came to call. [music] 1:04:19 >> This one sounds more authentically poor. 1:04:23 Right. Like, do you guys know that Jenny 1:04:26 Lewis song? Um, the is it Jenny Lewis? 1:04:29 Uh, uh, white fur jacket, white 1:04:33 No, white rabbit coat. 1:04:42 White rabbit. Wait, rabbit something. 1:04:45 Rabbit coat 1:04:56 rabbit fur coat. 1:05:00 It's a complete scam. 1:05:02 >> I'm from Canada, too. And I found out 1:05:04 how much it costs for like school, 1:05:09 >> right? 1:05:12 [music] 1:05:16 I was a poor folk, [music] 1:05:21 but my mother, 1:05:25 >> right? 1:05:26 >> Doesn't that sound like that? I think 1:05:28 that's the one. I think four is the one. 1:05:30 It just It feels more authentic 1:05:33 to who Eloise is. And we don't want to 1:05:36 we we [laughter] don't we we we got to 1:05:38 be authentic to Eloise. We let her down. 1:05:42 Said I may be broke, but I've got it 1:05:46 all. 1:05:48 Got the wind in [music] my pockets, joy 1:05:52 in [singing] my seat [music] 1:05:55 there. 1:06:00 [laughter] 1:06:00 >> Ulu RX Mel. [ __ ] that just sounds too 1:06:04 sad. How about some good bar fight 1:06:05 songs? Okay, [laughter] let's let's 1:06:08 wait. Let's do a version of this. Uh, 1:06:10 we'll say whimsy. Let's see. Um, let's 1:06:14 say um barf fight [laughter] 1:06:17 bar fight song in 68. Then we'll get rid 1:06:21 of all of the other stuff. [laughter] 1:06:25 We'll see what we get with a 68 bar 1:06:27 fight song. We're going with number 1:06:29 four, by the way. [laughter] But but but 1:06:32 we got to hear the barfight version. 1:06:39 Kyle has thousands of music tabs open in 1:06:42 his head. That's actually pretty good. 1:06:44 [laughter] 1:06:46 Oh my god. Okay. 1:06:53 Go Eloise. [music] 1:06:55 Eloise is a [ __ ] hussy. 1:07:01 [music] 1:07:07 [music] 1:07:11 Ives [singing] 1:07:13 for a tin. 1:07:19 [music] 1:07:20 >> That's fun. All right, one more. One 1:07:22 more and then we'll go. [music] 1:07:29 [music] 1:07:35 All right. I hate those. Okay, they're 1:07:36 fine, but whatever. I don't care about 1:07:39 them. All right, this one is the one, 1:07:42 right? 1:07:45 [music] 1:07:52 It's amazing. You can actually hear the 1:07:53 breath in the clarinet. 1:08:04 >> Okay, we're going to download this. 1:08:08 And then we're going to go over to 1:08:09 Hedra. 1:08:12 Hedra. 1:08:13 Hello. Hedra. 1:08:16 Um 1:08:19 Hedra. If you don't know Hedra, Hedra.ai 1:08:22 is is I It's It's the um of the image 1:08:27 generation tools. It's the one I like 1:08:29 best. Hello. Tabs. Share this tab 1:08:32 instead. 1:08:47 Um, where's our model? Hedra character 3 1:08:51 16 by9. 1:08:53 Um, add character. 1:08:57 Upload. Oh, I got to go get the picture. 1:08:59 Hang on a sec. 1:09:03 Should 1:09:12 it be the one where she's dancing or in 1:09:14 the swing? I think it's the one in the 1:09:16 swing. Nah, we'll do the dancing one. 1:09:18 All right. Save image as 1:09:31 Okay. 1:09:33 Here we go. We're going to add 1:09:34 character. We're going to upload 1:09:37 Eloise. 1:09:40 Oh, okay. Oh, by the way, anyone who 1:09:44 works for any of these [ __ ] 1:09:45 companies, if you save your images in 1:09:47 AFF or whatever the 1:09:50 flip that thing is, AVIF, whatever it 1:09:53 is, what is it 1:09:55 that doesn't open in any other [ __ ] 1:09:58 application? You should you should be 1:10:00 punished. 1:10:02 Um, 1:10:07 AVIF. 1:10:08 Oh, drives me [ __ ] crazy. [laughter] 1:10:15 Uh, 1:10:20 [clears throat] 1:10:27 uh, yeah. Well, the the reason we use uh 1:10:29 AVIF or or or WEBP, WEBP of course is uh 1:10:33 the reason we use those formats is it's 1:10:35 much more efficient. the throughput of 1:10:37 the server, the bearing load of the 1:10:39 server uh when people are making uh 1:10:41 numerous images uh which of course you 1:10:42 know because we're a very popular 1:10:45 service uh we we realize that the the 1:10:47 bandwidth if we if we use something like 1:10:50 like a PNG format of course or JPEG 1:10:53 unless the compression is extremely high 1:10:54 which compresses the images and and 1:10:56 people are not happy and we spend a lot 1:10:58 of time on with customer service with 1:11:00 with quality issues. So we chose to go 1:11:02 with the web web P. We we understand 1:11:04 that there are some compatibility issues 1:11:06 and we we understand that those are 1:11:08 going to work themselves out within the 1:11:09 next decade or three. So we we find it a 1:11:12 a fair tradeoff. 1:11:14 Yeah. No, no, no, no. Just just save it 1:11:20 in PNG. Okay. Just do that. Okay. We'll 1:11:25 go raise another billion dollars. 1:11:28 You can leave my office now. 1:11:38 Okay. Did I Did I actually save that or 1:11:40 did I just go apoplelectic? Yes, I 1:11:44 actually saved that. Okay. There's that. 1:11:47 And then add speech. We're going to 1:11:48 upload the song. 1:11:58 Okay, there we go. We have a dancing 1:12:01 woman. We're going to generate. 1:12:04 Carrying on rather Cheerio pep pipep 1:12:10 generate. All right. So, that's going 1:12:12 [clears throat] to go make a video for 1:12:13 us of that. And then we could take that 1:12:16 into dscript and put subtitles on it and 1:12:19 things like that. Anyway, 1:12:22 all right. So, that's going to go do its 1:12:23 thing. 1:12:25 Let me get back to you all. 1:12:28 Thoughts? 1:12:31 Thoughts? You are the best human being 1:12:34 that I've ever met on TikTok, huh? 1:12:36 That's very sweet. [laughter] 1:12:42 Well, you know, [laughter] 1:12:46 here I'm probably the only human being 1:12:49 on TikTok willing to Is Mel still here? 1:12:52 Ulu RX, she sent me this. So, here's the 1:12:56 thing. Here's the thing about the women 1:12:58 here on on this channel. So, so, um, 1:13:03 Mel, who works for Ulu RX that sells 1:13:06 like, you know, hair chemicals, she was 1:13:10 like, "Hey, Kyle, I noticed that your 1:13:12 forehead is larger 1:13:15 recently, so I'm going to send you some 1:13:17 chemicals." And then she sent me this 1:13:19 bow, which was really sweet. Um, but 1:13:22 then I put it on like you like you wear 1:13:24 a bow. And then I was informed 1:13:27 apparently this is not how the ladies 1:13:29 wear these bows. 1:13:32 And so, you know, now I've got a 1:13:35 complex. I'm like, I know how to wear a 1:13:38 [ __ ] headband. You know, it just so 1:13:40 happens to have a bow on it, but 1:13:41 apparently there's a whole other way you 1:13:42 do this, which I don't know about. 1:13:46 Perfect. [laughter] 1:13:47 Thank you. 1:13:49 Actually, might be a bot actually. Yeah, 1:13:52 AI Rising may might actually be a bot. I 1:13:55 think that's a really good point. 1:13:57 [laughter] 1:13:58 What would a bot say? 1:14:01 A bot would say, "Everyone thinks I'm a 1:14:03 bot." I think I think AI Rising is a 1:14:06 bot. Yeah. See? 1:14:09 Oh, it's exhausting. [clears throat] 1:14:11 But, you know, you know, we're living in 1:14:14 times 1:14:16 I was thinking about this. 1:14:18 We're living in times where 1:14:22 um Why is that thing not starting to 1:14:24 render? That's driving me crazy. Um 1:14:28 right now it's weird. Won't let me 1:14:30 generate a song with the word skank in 1:14:33 the description. Shakes my head. 1:14:36 [laughter] 1:14:40 It was a meant as a gift for your wife. 1:14:42 No, you know what? Listen. 1:14:44 [clears throat] 1:14:46 My wife has tried she has she has taken 1:14:50 this from me three or four times. 1:14:54 Like I I come to do my show, I come to 1:14:56 put on my pink bow and it's [ __ ] 1:14:58 gone. And then I go to the back of the 1:15:01 toilet with the little basket of 1:15:04 goodies, the the little vials that cost 1:15:06 $78 each. And there's my pink bow. I 1:15:11 know you sent it as a gift to her. That 1:15:13 is it's not appropriate. It's not 1:15:15 appropriate. You should have sent two. 1:15:18 You should have sent two. [laughter] And 1:15:20 instructions apparently about how men 1:15:22 are supposed to wear them. [laughter] 1:15:29 I shall send another [laughter] 1:15:33 for domestic bliss. 1:15:35 This the bow has been a source of 1:15:37 contention in in the Shannon family. 1:15:41 [laughter] 1:15:45 Oh, good lord. That's funny. Oh, 1:15:50 [snorts] all right. Our little video is 1:15:51 up to 30%. So, as soon as we have a 1:15:53 video there, um, okay. Um, 1:15:58 back to AI as a practice. So, how many 1:16:02 folks we got in here? We got we got a 1:16:04 chunk of folks in here that probably 1:16:05 didn't hear this before. 1:16:07 [sighs and gasps] 1:16:10 I had a visual idea today 1:16:14 or like a visual metaphor. 1:16:17 I've been trying to figure out like like 1:16:19 what is a way to talk about the kinds of 1:16:21 things I've been thinking about where 1:16:24 you use AI as an amplifier rather than 1:16:27 rather than thinking of AI as this thing 1:16:29 of outside of you that is in competition 1:16:33 with you, you think of it like an 1:16:34 amplifier. And the the I woke up this 1:16:38 morning and I had this vision of um 1:16:45 you either have AI coming at you or you 1:16:48 have AI pushing you from behind. 1:16:51 And I think where we want to get is AI 1:16:54 pushing us from behind, right? Because 1:16:56 if AI is in front of you, then AI is 1:16:58 leading. AI is the tool. AI is the 1:17:01 brain. It's us against AI. But if AI is 1:17:05 behind you, you're in the lead. 1:17:09 And what do you do? That's up to you. 1:17:11 You get to do anything you want to do. 1:17:12 You get to be anything you want to be. 1:17:16 And AI is there to accelerate you and 1:17:19 amplify you and fill in your gaps. It's 1:17:21 behind you pushing you. So I don't know 1:17:24 what to do with that. But 1:17:27 anything you can do to shift your 1:17:29 relationship with AI is this adversary 1:17:32 versus AI is there to serve me as my 1:17:35 collaborator as my, you know, anything I 1:17:38 want done, it's going to do. That's the 1:17:41 big shift for me. And then the daily 1:17:43 practice thing that I've been talking 1:17:45 about and we're designing a framework 1:17:46 around right now is really about just 1:17:49 treating AI every day. Are you doing 1:17:52 something where you're learning some new 1:17:54 thing? You're just playing with 1:17:55 something new. You're just playing 1:17:57 playing finding the edges, exploring the 1:17:59 edges of what's possible and then 1:18:02 creating excellence. Are you working on 1:18:04 something that that is next level? You 1:18:07 know, putting together an advent 1:18:09 calendar in lovable, right? Turning that 1:18:11 into something interesting. And then 1:18:14 generously leading. Are you sharing it 1:18:15 with other people? Are you establishing 1:18:17 yourself as someone who's thinking 1:18:19 critically and creatively about how to 1:18:22 use AI? 1:18:24 And if you do that every day, just like 1:18:26 practice, just like breathing, 1:18:30 you can't help but to be one of the 1:18:33 leaders in whatever this thing's going 1:18:35 to become. 1:18:37 Um, and so that's my new passion. So if 1:18:40 if you haven't started thinking about AI 1:18:42 like a practice like that, you should do 1:18:44 that. It lets you accomplish things 1:18:46 you've always wanted to but haven't been 1:18:48 able to unable to until now. Yeah, 1:18:51 exactly. 1:18:54 And especially I'll tell you the thing 1:18:56 where where I find AI the most profound 1:19:00 is you see it in accessibility like the 1:19:03 neurolink things where you've got people 1:19:04 that are quadriplegics that are now you 1:19:06 know using computers and controlling 1:19:08 artificial limbs. 1:19:11 Um, you you see it you see it there, but 1:19:13 you also see it in people who are vision 1:19:16 impaired or, you know, audio impaired 1:19:18 or, you know, have lost someone and 1:19:20 they're trying to process through 1:19:22 something or, you know, all of their 1:19:25 lives have wanted to be able to make 1:19:27 visual things but for whatever reason, 1:19:30 you know, aren't good at that. Well, now 1:19:33 they can be, right? And so that that 1:19:35 augmentation of the gaps 1:19:38 in your humanity is is the thing that I 1:19:41 find incredibly inspiring about it. 1:19:44 After saving the AVA AVIF file, open it, 1:19:47 rightclick it, choose save as. At the 1:19:50 bottom of the dropown menu, does it give 1:19:51 you the option? Yeah, exactly. Exactly, 1:19:54 Chef Kelly. I Oh, I know what to save. I 1:19:57 know what to do. I shouldn't have to do 1:19:58 that. Like, if you're going to use a new 1:20:01 file format, make sure that people 1:20:02 support it. 1:20:04 Um, I made an advent calendar. I will 1:20:07 post it in the regulars. [laughter] 1:20:09 That's great. 1:20:15 Mary Mary, you've done your AI practice 1:20:17 deed of the day. I like that. What is 1:20:19 your AI practice deed of the day? It's 1:20:22 really good. Have you posted something? 1:20:24 Have you made something? Have you 1:20:25 learned something? Have you told 1:20:27 someone? 1:20:29 Have you asked a question of someone 1:20:31 else to give them an opportunity to 1:20:32 lead? That's really good. Really good. 1:20:36 Beautiful. Beautiful. Beautiful. 1:20:38 Beautiful. Beautiful. Beautiful. 1:20:40 Beautiful. Beautiful. 1:20:49 I love epiphany moments. 1:20:52 Absolutely. Share. Exactly. All right, 1:20:55 we're at 80% with our little thing here. 1:21:00 My hair is large. I got the other day at 1:21:02 work. I got [laughter] my sales guy got 1:21:06 on a Zoom call and he goes, "Hey, Kyle, 1:21:08 you're mighty flock of seagulls there 1:21:10 today. [laughter] 1:21:17 [laughter] 1:21:18 Oh yeah. 1:21:22 [clears throat] 1:21:30 >> [singing] 1:21:31 >> You're living large. When it comes to AI 1:21:34 music and I'm asked what do I play? I 1:21:37 play the AI. 1:21:40 Ah, large hair. My hair is large. Nice. 1:21:44 [laughter] 1:21:46 It is. I just looked over and it was 1:21:48 just like it was just very tall. It was 1:21:51 like a sail. [laughter] 1:21:54 AI helped me fix my water softener. 1:21:57 Seriously, even ordered the parts. Yeah. 1:22:13 I'm just sitting here thinking about 1:22:18 how incredibly lucky I feel to be able 1:22:20 to 1:22:22 to be present to what's happening in the 1:22:25 world with with these new tools. Um, 1:22:31 and I I felt similarly lucky in the mid 1:22:33 90s with the, you know, being 1:22:36 participating in the early days of the 1:22:38 worldwide web. 1:22:42 And I don't I don't think people really 1:22:44 take in how rare it is 1:22:46 to to live in a moment in history where 1:22:50 such profound changes are happening. 1:22:54 We get to be 1:22:57 we get to be the last generation 1:23:02 of human beings 1:23:06 that actually get to experience the joy 1:23:11 of not having been able to do like I'm 1:23:13 about to push the play button on this 1:23:16 this image 1:23:19 that's going to sing a song and I assume 1:23:21 pants 1:23:23 that Corey Sandler made in a series. 1:23:26 She's doing a series of images about 1:23:29 Eloise and she sent it and she said, 1:23:31 "Let's make a song about it." So, in the 1:23:34 last whatever it's been hour, we've made 1:23:36 a song. Well, no, Eloise shared her her 1:23:40 song lyrics that she wrote with us. 1:23:43 [laughter] 1:23:44 We then went and turned that into the 1:23:46 song and now Eloise is going to sing it. 1:23:52 Three years ago, this wasn't possible. 1:23:56 And three years from now, this is going 1:23:58 to be commonplace. Like, like it'll be 1:24:00 much faster. It'll be instant. Like the 1:24:02 the friction to do this will be zero. 1:24:05 So, you'll just be able to like imagine 1:24:07 this stuff and it'll just happen. 1:24:09 So right now we're in this really 1:24:12 magical moment where we get to discover 1:24:15 these things doing remarkable new things 1:24:18 and and we can appreciate 1:24:22 knowing what it was like three years ago 1:24:24 and earlier and what it's like now and 1:24:27 imagine what it's going to be like in 1:24:29 the future. That is such a remarkably 1:24:31 small slice of history. I don't know. I 1:24:33 just am feeling I am feeling grateful 1:24:36 for for being in the conversation. 1:24:42 [clears throat] 1:24:45 This is fusion spontaneous art. 1:24:50 All right, here we go. 1:24:53 [music] 1:25:01 >> [music] 1:25:05 >> I pawn my gloves for a brush and tin. 1:25:10 Painted the moon where the walls grew 1:25:14 thin. 1:25:16 Laughed when the landlord came to call. 1:25:20 [music] 1:25:21 Said broke 1:25:25 it all. 1:25:26 >> Okay. [laughter] 1:25:32 >> [laughter] 1:25:34 >> So we are wiggling. Yeah, that's here's 1:25:37 the thing. 1:25:40 Again, three years from now, she won't 1:25:43 just stand there on one leg for the 1:25:45 whole song, but in in today's 1:25:47 technology, she will. So this is this is 1:25:51 absolutely [ __ ] perfect 1:25:54 [laughter] 1:25:54 because it's [ __ ] weird. And so she 1:25:58 lives in a weird magical town and she 1:26:00 sings by standing on one foot. Maybe use 1:26:03 the image from last night on the pillows 1:26:05 on the bridge. Oh, was there a pillows 1:26:07 on the bridge one? I think that one 1:26:08 would be better. Let me go let me let me 1:26:11 go find pillows on the bridge. I thought 1:26:12 she was on a swing. Or was there one 1:26:15 before that? 1:26:18 Oh, the pillows on the bridge. Oh, yeah. 1:26:19 This one will be better. But do we have 1:26:21 the top? Oh, yeah. This Oh, this is the 1:26:23 one I thought we had. Okay. Yeah. You 1:26:25 know what? I'm a dumb dumb. All right, 1:26:27 Eloise, too. 1:26:30 [laughter] 1:26:31 We We have a good comedy one where she's 1:26:34 standing on one foot. 1:26:36 [laughter] 1:26:39 Okay, let's let's make another one, 1:26:43 shall we? 1:26:45 [laughter] 1:26:46 Oh god, that's funny. 1:26:53 >> [singing] 1:26:57 >> Oh, I got to go change it from AVIF. 1:26:59 Hold, please. Let me go do some file 1:27:02 management because developers, 1:27:06 we're not happy with this. I am going to 1:27:09 make this a wee tad 1:27:12 brighter, 1:27:15 which probably gonna piss off Corey 1:27:17 Sandler, but [laughter] 1:27:20 but I want I want a little more 1:27:25 duplicate. 1:27:27 Yeah, that's fine. 1:27:30 There we go. Okay, that's good. And then 1:27:33 do export. We'll do export as JPEG. It's 1:27:39 a desktop. Beautiful. Beautiful. 1:27:41 Beautiful. Beautiful. Beautiful. 1:27:44 Fantastic. Bob, tell him what he's want. 1:27:48 You want a new car? 1:27:53 [clears throat] 1:27:56 [singing] 1:27:59 Can you prompt it so she actually sings 1:28:02 it? That's Well, she will. She is 1:28:04 singing it in that other one. It's just 1:28:06 weird because she's uh 1:28:09 because she's um 1:28:11 hang on a sec. Add character upload. 1:28:14 It's weird because she's balancing on 1:28:16 one foot, so you can't really take her 1:28:17 head in. [laughter] 1:28:19 But this one's going to be good because 1:28:22 she's just standing on the on the 1:28:24 pillows. So, this will be better. So, 1:28:26 we're going to upload the song 1:28:29 [clears throat] 1:28:33 [sighs and gasps] 1:28:33 [panting] 1:28:35 generate. 1:28:39 I guess I could put a prompt in there, 1:28:40 but I don't really care. I just I just 1:28:42 want to have it do it. All right. 1:28:45 [clears throat] 1:28:51 You've won the highest feeling in my 1:28:52 heart. AI rising. I do think you're an 1:28:54 AI bot at this point. [laughter] 1:29:01 That's what I think. [laughter] 1:29:05 [gasps] 1:29:21 I created skin care. skincare fairy 1:29:23 tales on AI. I cracked myself up. Not 1:29:26 sure if anyone else will laugh. Well, 1:29:28 you know, Mel, I I think what's 1:29:31 Have Have you seen Did you see the thing 1:29:33 that Jim Ross did for Oh, wait. What 1:29:36 just happened? Hedra API error. That 1:29:38 sucks. Don't tell me. Um, 1:29:42 a AWS is down again. Error. Huh, 1:29:47 this is frustrating. 1:29:51 Um, let me reload. 1:29:55 Hang on a sec. 1:29:58 Add character upload 1:30:01 desktop Eloise 2. Add upload 1:30:06 downloads. Wind my pockets. 1:30:10 Generate. 1:30:15 Nope. All right. Hedra's down. 1:30:18 That's a drag. 1:30:27 [clears throat] 1:30:38 All right. Well, we got one video out of 1:30:40 it. 1:30:46 >> [whistles] 1:31:05 [whistles] 1:31:09 [whistles] 1:31:15 [snorts] 1:31:15 >> We'll just watch her do the balance. ing 1:31:16 act here. But we got to play the whole 1:31:18 song. We haven't played the whole song 1:31:20 yet. And then after the live tonight, 1:31:22 I'll go Corey. I'll take the one where 1:31:24 she's standing on the pillows and I'll 1:31:25 go make a video of her um 1:31:29 [snorts] 1:31:30 [clears throat] 1:31:30 doing the doing the uh doing the song on 1:31:34 the pillows and then I'll send that to 1:31:36 you. You can you can have your way with 1:31:38 Eloise. [laughter] 1:31:43 >> [gasps] 1:31:46 >> What's happening? 1:31:49 What's happening? Are we crashed? Are we 1:31:51 crashing? 1:31:52 Is that what's going on here? 1:31:57 Oh my god. I think we might be crashing. 1:32:35 Don't ever tell me that I'm AI. 1:32:38 [laughter] 1:32:48 >> [laughter] 1:32:48 >> Sorry, Mimi. I'm wiped out. Good night. 1:32:51 Um, all right. Let me see if I can get 1:32:57 this to run. 1:33:00 There we go. [music] 1:33:08 >> [music] 1:33:12 >> I p my gloves for a brush and tin. 1:33:17 [music] 1:33:18 Painted the moon where the walls 1:33:20 [singing] grew thin. 1:33:26 [singing] 1:33:29 >> Why not Sora? Because Sora can only do 1:33:32 um short little clips, eight seconds at 1:33:35 a time. 1:33:36 This does this does the full song. 1:33:41 [music] 1:33:46 >> Got the wind in my [music and singing] 1:33:47 pockets. Joy in my sea. A threadbear cup 1:33:54 full of foolish dreams. [music] 1:33:57 Can't find much, but I'll never be poor. 1:34:02 Long as I've [singing and music] got 1:34:04 laughter knocking at my door. 1:34:10 [music] 1:34:11 Found a coin on the [singing] lane. 1:34:15 [music] Spend it on tea. Spend it on tea 1:34:18 and the rest on rain. [music] 1:34:21 The clouds took pity and paid me back 1:34:26 [music] with silver light [singing] and 1:34:29 the sky to unpack. 1:34:33 Got the wind in my [music] pockets. Joy 1:34:37 in my seams, a threadbear 1:34:42 for the foolish dreams. [music] 1:34:47 >> Yeah, I haven't I haven't had good luck 1:34:51 um Corey with with Hedra being able to 1:34:54 do prompt coherence all that well. I 1:34:57 haven't tested it deeply, but it's kind 1:34:58 of like 1:35:00 like Sora and and um and VO3, you can 1:35:06 get they have really good prompt 1:35:08 coherence. You can get them to walk, but 1:35:09 they only do eight seconds at a time. 1:35:13 So, [snorts] like what we don't have 1:35:15 right now is something where I can take 1:35:16 this song and say what you just said, 1:35:18 have it do a series of things and do 1:35:21 camera cuts and things like that. Um 1:35:24 it'll get there. We're just not We're 1:35:25 just not there. 1:35:34 [singing] 1:35:40 Is that Is that linked 1:35:43 Brandon? 1:35:52 No. Is it LinkedIn? Is it LinkedIn? Um, 1:35:56 in the salon. Did you put the the link 1:35:59 to that thing in the salon? 1:36:02 Um, [sighs] 1:36:04 neon-ai 1:36:08 dash 1:36:10 quest dot 1:36:13 lovable.app. 1:36:18 What would be great? Whoever Whoever did 1:36:22 this made the advent calendar. Let's 1:36:25 see. AI advent calendar. This is great. 1:36:29 AI Festivus begins in 60 days. That's so 1:36:32 awesome. 1:36:35 Day one. Leonardo. Try it now. Oh, this 1:36:39 is so good. Am I sharing this? Yeah, I 1:36:42 think I am. Yeah. Yeah. Um, this is 1:36:45 great. Runway ML. This is good. This is 1:36:49 beautiful. Um, this is from Joe. So, so 1:36:53 Joe, in in Lovable, you should be able 1:36:56 to change the name of it. So, instead of 1:36:58 it saying neon-ai, which I assume is 1:37:01 what lovable came up with, can you 1:37:03 change it to AI festivis countdown or AI 1:37:07 festivis advent.lovable.app 1:37:12 because then we can we can countdown. 1:37:14 The other thing we should do is, oh, 1:37:18 here's how you can modify this app. I'm 1:37:20 going to give you I'm going to be like a 1:37:22 pain in the ass Gen X product guy. Um, 1:37:25 we should put the dates in the um 1:37:29 we should put the dates in like the 1:37:31 lower the lower part of these boxes. So 1:37:34 when the date is gone, it it like grays 1:37:37 out that box, but you can um 1:37:43 but you can uh you can still click on it 1:37:46 and it should go from high numbers to 1:37:49 low numbers. So So it should start at 1:37:53 six. It should start at 60 and end at 1:37:55 one. And then down here at the bottom to 1:37:57 the right here, it should say festivus. 1:37:59 So if you want to update if you want to 1:38:01 update the app, there's your tools. add 1:38:02 dates, have them grade out if we've 1:38:05 passed the date, um, but they still can 1:38:08 link, have them countdown from high 1:38:10 numbers to low numbers, and then add AI 1:38:13 festivus here at the end. [laughter] 1:38:19 Isn't it just like someone at the AI 1:38:21 learning lab, you do something nice for 1:38:23 them and build them an advent calendar 1:38:24 and they're like, "Okay, here's my 1:38:26 notes. [laughter] 1:38:31 Okay, I can do that. And I have the paid 1:38:32 plan. Awesome. Thank you. And add con. 1:38:36 Oh, yeah. That's good. Add confetti each 1:38:38 time you add one. That's really good. I 1:38:39 like that. Each time you use one of the 1:38:41 the advent doors. Um, that's really 1:38:44 good. That's awesome. Okay, cool. 1:38:47 Beautiful. Fan frigantastic, Bob. 1:38:51 You did good. Dead good. Okay, so 1:38:53 speaking of festivists, 1:38:56 um, and feel free to put the graphic up 1:38:57 there, Yan Brandon. Um, 1:39:02 [laughter] 1:39:03 AI Rising, you are effing. What is 1:39:07 happening? Help. [laughter] 1:39:10 AI Rising. 1:39:12 I want to know. I have a feeling AI 1:39:14 Rising is Lord Digital God's experiment. 1:39:17 Okay, so here's information about AI 1:39:19 Festivus. 1:39:21 December 26th and 27th from 9:00 a.m. to 1:39:24 9:00 p.m. Eastern. Is it Eastern or 1:39:27 Western? Eastern, right? No, Pacific. 1:39:30 9:00 a.m. Pacific to Yeah. noon noon to 1:39:33 midnight Eastern. 9:00 a.m. to 9:00 p.m. 1:39:37 Pacific on the 26th and 27th. 1:39:42 We're going to have 24 1-hour sessions 1:39:46 spread out over two days. So, it'll be, 1:39:49 you know, Friday and Saturday. 1:39:52 It's an opportunity for you to escape 1:39:54 your family with a legitimate excuse and 1:39:58 come learn AI. So, here's my request. 1:40:00 Here's my request. 1:40:04 Jot down the dates. Jot down AI 1:40:06 Festivus. Um, if you want to see last 1:40:08 year's lineup, [clears throat] it's it's 1:40:10 it's not it's last year's information. 1:40:12 If you go to AI festivist.com, 1:40:15 you can see last year's lineup. It's it 1:40:17 was like really amazing. And so we're 1:40:19 going to it's going to be amazing this 1:40:20 year as well. Um that'll be updated in 1:40:23 the next week or so. Um and if you're 1:40:26 like why don't you have your [ __ ] 1:40:27 together? AI Festivist last year was 1:40:30 conceived two weeks before we launched 1:40:32 it. So So the fact that we're 60 days 1:40:35 out or 57 days out um is kind of a 1:40:39 miracle. [laughter] 1:40:42 Can we still apply to present? Yes. 1:40:44 reach out to uh to myself or Brandon or 1:40:48 and I know I owe you a uh a response to 1:40:51 something on LinkedIn or my email. Um 1:40:53 but reach out to uh Brandon or and Ann 1:40:56 Murphy. There's and Murphy is the one 1:40:58 sort of holding the list. Um because we 1:41:01 can't we can't have too many people 1:41:03 organizing all that. So 1:41:06 ah fest of us AI for the rest of us 1:41:09 indeed. 1:41:11 Um what was that question? 1:41:15 Um, 1:41:17 escape your family. That means I come to 1:41:20 stay with you in in Colorado. Yeah, you 1:41:23 can come stay. You can stay come stay 1:41:25 here in Colorado. You can teach me how 1:41:26 to put on the pink bow. [laughter] 1:41:31 I got to get myself some new hair 1:41:33 product. Although, I got to say, my 1:41:35 current hair product, it's some cheap 1:41:37 ass Fruise 1:41:39 um like hair goop kind of [ __ ] Man, 1:41:43 it's like it just makes my hair crazy. 1:41:46 Today's Wednesday. What did I say? Did I 1:41:48 say Thursday? 1:41:54 Oh, tomorrow will not be Friday. Well, 1:41:58 [laughter] 1:42:03 oh, good lord. All right. 1:42:06 [clears throat] 1:42:07 Um, 1:42:10 I love you. You elevated me. I still 1:42:12 think you're AI. 1:42:15 Um, let me go look and see. Is this 1:42:17 thing rendering? All right. The new 1:42:20 video is at 80%. 1:42:22 [clears throat] 1:42:24 All right. I won't go just yet. 1:42:32 Greg Stokes, where is this event? So, 1:42:34 it's online. So, um, you'll have to 1:42:38 register for it. You'll if you just join 1:42:40 the AI salon. We're going to be 1:42:42 promoting it all throughout the AI 1:42:43 salon. So AI Festivus is a joint 1:42:46 production between the AI salon and she 1:42:49 leads AI. So it's hosted by myself and 1:42:51 Anne Murphy. 1:42:53 We'll have all these speakers. We'll 1:42:54 sort of kick it off and I I forget how 1:42:56 we do it. I think we talk in between 1:42:58 speakers or something like that. Um 1:43:00 [snorts] 1:43:01 and uh 1:43:03 and yeah, it's it's the 26th and 27th. 1:43:06 like my request. Seriously, one of the 1:43:09 things we're going to put together and I 1:43:10 I'll tell you when we've got it. They've 1:43:12 got these thing called things called 1:43:14 swipe graphics or swipe cards where 1:43:16 we're going to put together a folder 1:43:18 where you can take all sorts of um uh 1:43:22 like social media graphics that we'll 1:43:24 provide for you for festivist and you 1:43:26 can go share them on your socials. So my 1:43:29 request is start talking about 1:43:31 festivist, start talking about your 1:43:32 friends get, you know, getting there. 1:43:34 Last year we had 3,500 people sign up 1:43:37 and 2500 people show up and we had an 1:43:40 average concurrent hourly you know 1:43:44 watchers of like 560 people average 1:43:48 across 24 hours in between Christmas and 1:43:51 New Year's [laughter] 1:43:53 which is which is just stupid but it 1:43:56 goes to show you there was something 1:43:59 about it that was really special. Um so 1:44:01 I want it to be more special this year. 1:44:03 We've got a bit more time. All right. 1:44:05 Yeah, 81 countries, I think. Yeah, it 1:44:07 was crazy. You introduce the speakers, 1:44:11 Kyle. Thank you. I'm glad I'm glad that 1:44:14 my audience knows more about the thing 1:44:16 I'm about to produce than I do. 1:44:19 [laughter] 1:44:23 It's only appropriate. 1:44:26 >> [laughter] 1:44:27 >> Um, by the way, Hedra, the the thing 1:44:30 that I just made this video in is 1:44:33 they've put on a uh 1:44:37 a what you call it, a Halloween contest 1:44:39 that it's the 29th, so you get two days. 1:44:43 If you make a Halloween thing and put 1:44:45 that out there, um, I think they give 1:44:47 you 100 credits or something like that. 1:44:49 So, so for what it's worth, 1:44:57 >> [sighs] 1:45:09 >> Please stop Thank you. 1:45:48 By the way, the other thing about this 1:45:50 channel is sometimes I'm a pin head 1:45:54 [laughter] 1:45:58 and if I don't share my screens right, 1:46:00 Then the people on YouTube can't hear 1:46:03 [ __ ] and they're like, "Well, I've got 1:46:05 but I've got my 80inch telev." 1:46:07 [clears throat] What I like to do when I 1:46:09 watch the AI learning lab is is um I I 1:46:11 like to to uh to stream I I use uh Apple 1:46:15 uh Air Share AirPlay I think it's 1:46:17 called. And then I uh I I I I launch it 1:46:21 on my phone, but I put it on AirPlay. 1:46:22 And then I'm watching YouTube on my my 1:46:24 80inch television. And so when you don't 1:46:27 share the tab correctly, I we we don't 1:46:29 have audio and that's uh it's very sad. 1:46:33 So if you could just go ahead and 1:46:35 correct that, that would be terrific. 1:46:37 Yeah, that would be great. 1:46:43 [music] 1:46:53 I pawn my gloves for a brush [music] and 1:46:56 tin. 1:46:58 Painted the moon [singing] 1:47:00 where the walls [music] grew thin. 1:47:03 Laughed when the landlord came [music] 1:47:07 to call. 1:47:09 Said, "I may be broke, but I've got it 1:47:13 all. 1:47:15 Got the wind in my pockets, joy in 1:47:19 [music and singing] my seat, a 1:47:21 threadbear 1:47:23 full of [music] foolish dreams. 1:47:27 Can't find much, but I'll 1:47:29 [music and singing] never be poor. 1:47:32 Long as I've got laughter knocking at my 1:47:36 door. 1:47:40 [music] 1:47:41 Found a coin on the co. 1:47:45 >> Spend it on [music] tea. Spent it on tea 1:47:48 and the rest on rain. 1:47:51 Clouds took pity and paid [music] me 1:47:55 back. 1:47:57 With silver [singing] light in the sky 1:48:00 to unpack. 1:48:03 >> Got the wind in my pocket. Joy in my 1:48:08 seam. [music] 1:48:09 A threadbear [singing] code full of 1:48:12 foolish dreams. 1:48:14 [music] Can't buy much, but I'll never 1:48:18 be poor. [music] 1:48:20 Long as I've got [singing] laughter 1:48:23 knocking at my door. 1:48:27 >> Some folks gold, some hide their [music] 1:48:31 heart. 1:48:33 I spend mine [singing] 1:48:34 freely. 1:48:36 That's my art. If love's a currency, 1:48:39 [music] 1:48:40 then I'm set. I owe the world and I'm 1:48:45 not done yet. [music] 1:48:49 Got the wind in my pockets, joy in 1:48:52 [music] my seams. 1:48:55 Living on [singing] sunlight stitched 1:48:58 [music] from dreams. 1:49:00 If I fall, I'll fall with flare. [music] 1:49:05 The wind will catch me. 1:49:09 It's only fair. 1:49:18 Nice. Beautiful. All right, let's 1:49:21 download this bad boy. 1:49:24 [clears throat] 1:49:24 Got the wind in my pocket. 1:49:39 By the way, Udio just did a partner with 1:49:41 Universal Music Group. So, if anyone's 1:49:44 out there thinking that uh this music, 1:49:47 this generative music thing is just a 1:49:49 flash in the pan, no, it's not. Um and 1:49:52 and here's the thing. 1:49:55 There are already starting to be music 1:49:57 producers, existing music producers that 1:49:59 are using Sunno in their workflow and 1:50:01 using these other tools in their 1:50:02 workflow. That's not going to stop, 1:50:05 right? There's there's still going to be 1:50:07 a bunch of pissed-off musicians, but 1:50:10 more and more and more they will start 1:50:11 to migrate to using the new tools, and 1:50:13 it'll likely be some sort of hybrid 1:50:15 thing. So, anyway, let's upload this 1:50:19 here video. Let's let's upload it first 1:50:21 to the AI salon. 1:50:23 We'll put it right back into regulars. 1:50:27 New activity. 1:50:29 I got your flock of seagulls, Kyle. 1:50:32 [laughter] 1:50:38 Nice, Silver Fox. That's really solid. 1:50:41 Okay. Um, 1:50:45 what's this? Okay, this is good. 1:50:47 Beautiful. Working on getting PDF post. 1:50:49 Okay. 1:50:51 So, let's add photos. Add video. 1:51:02 Something went wrong. Please check your 1:51:04 internet connection. 1:51:06 Yeah. See, the thing about Mighty 1:51:08 Networks, it's not very Oh, no. Yeah. 1:51:12 No. Uh, let's go here. Let's try to 1:51:17 upload it to the Twitter. [laughter] 1:51:22 Here we go. You want to hear a Gen Xer 1:51:24 cuss [laughter] 1:51:29 [clears throat] 1:51:33 uploading 23% 21%. 20%. 21%. Error. 1:51:41 [laughter] 1:51:43 All right. Right. So, what we're going 1:51:44 to do here is we're going to do um 1:51:47 lovely 1:51:49 um new song 1:51:52 uh via AI learning lab live 1:51:58 tonight. 1:52:02 Uh tonight. And then we'll go, you can 1:52:06 all see this, right? Yeah. can go 1:52:10 uh image and 1:52:13 we'll say 1:52:14 character character 1:52:18 LOE 1:52:20 and image 1:52:23 at Corey 1:52:28 Sandler 1:52:32 Corey Sandler Pottery. 1:52:35 um 1:52:37 lyrics 1:52:40 Eloise and then I'm going to put Jippet 1:52:44 [laughter] 1:52:46 if I say lyrics and uh and music 1:52:52 description. 1:52:54 Oh, you know what we should go do also? 1:52:56 No, Kyle, please tell us. Shut up. 1:53:00 Um, 1:53:03 how do I Oh, yeah. Uh, okay. What I 1:53:07 should go do is go grab the the story of 1:53:10 her. Eloise grew up. We got this whole 1:53:13 little story that Chat Gebt wrote, 1:53:15 right? Okay. 1:53:19 Copy. And then we're going to throw this 1:53:24 down here. 1:53:27 So, we're gonna say um 1:53:29 [clears throat and cough] 1:53:34 story 1:53:36 chat 1:53:38 GPT 1:53:41 lyrics and music description Eloise. 1:53:43 We'll do via chat GPT. [laughter] 1:53:48 Um and then we'll do um 1:53:53 music 1:53:54 options. 1:53:57 So 1:53:59 um song choice 1:54:06 the irregulars. 1:54:09 [laughter] 1:54:12 All right. So let's try to post this and 1:54:13 then we can just watch this here. You 1:54:15 know what I'm going to do? I'm going to 1:54:16 copy all these because 1:54:20 um this is probably going to keep 1:54:22 crashing just because 1:54:25 Twitter sucks. 1:54:30 21% 24% 22% 20 21 20 error. 1:54:37 It's unbelievable. It really is just 1:54:40 trash. Just garbage. 1:54:45 D. 1:54:53 [singing] 1:55:07 Can we tell him to stop singing like 1:55:09 that? I find it very disturbing. 1:55:20 What about the video? Wasn't it? Wait, 1:55:23 what? Oh, what about the video? Wasn't 1:55:25 it some sort of app? Yes. Yes. What you 1:55:27 said? 1:55:29 Um, music options, you know, song 1:55:31 choice, the irregulars, um, video 1:55:34 animation 1:55:37 at Hedra. And we should do these as 1:55:40 links, shouldn't we? So sunno should be 1:55:42 at sununo 1:55:45 chatgpt should be at chatgpt 1:55:48 [clears throat and cough] 1:55:51 right that's all good 1:55:55 beautiful 1:55:59 fantastic 1:56:01 she's really awesome it's a uh let's see 1:56:05 1% 0% 1:56:08 zero 6% 18% 36% % 1:56:13 34%. 1:56:16 This like it's it honest to god 1:56:18 uploading a video on Twitter is like 1:56:20 playing the [ __ ] lotto. 1:56:23 Are we going to make our $20 back? 1:56:27 60%. Come on, you can do it. 100%. Yes. 1:56:32 Yes. [laughter] 1:56:35 Okay, kids. There's a new video on X 1:56:41 >> [clears throat] 1:56:42 >> And you can go, let me edit it. And I 1:56:46 want to add in, we'll add in uh 1:57:14 >> [singing] 1:57:17 >> We'll tag Kelly Bosch. 1:57:20 So go to Kyle Shannon on Twitter on the 1:57:24 Twitter and go go share this and like 1:57:28 it. Okay. All right. All right. 1:57:31 Everybody, could you do that? Could you 1:57:34 do that for me? 1:57:36 Everybody, 1:57:38 come on. 1:57:41 I'm Corey Sandler Pottery on Twitter. 1:57:44 Oh, did I tag you wrong? I may have. 1:57:48 Yes. 1:57:56 pottery. 1:57:59 It's It Wait, are you sure Corey 1:58:01 Sandler? Cuz look, it says your name is 1:58:04 Corey Sandler Pottery, but your tag is 1:58:06 just Corey Sandler. 1:58:11 Are you sure? Is this Cuz 1:58:14 Or did I spell it wrong? Corey Sandler. 1:58:17 It's not that complicated. No, I got it 1:58:20 right. 1:58:23 Champy's prostate is acting up. It 1:58:26 [laughter] is. He's He's just bored. 1:58:28 He's like He's like, "Dad, isn't it time 1:58:31 for your stupid show to be over? Come 1:58:33 on." 1:58:35 Um, 1:58:41 is this not you, Corey Sandler? 1:58:50 I think this is right. 1:58:53 I think it's right. 1:59:06 All right. 1:59:07 [clears throat] 1:59:13 All right. Well, whatever. Anyway, go to 1:59:15 Kyle Shannon Twitter and boost that 1:59:19 thing. Oh, and then I'm gonna go put 1:59:21 this on the salon. 1:59:23 [snorts and clears throat] Copy link. 1:59:26 Go to La Salon. Here is the video we 1:59:31 made tonight. 1:59:35 Paste. 1:59:53 Can you boost mine? 1:59:56 Uh, I don't know where yours is. Let's 1:59:59 see. It's I'm wrong. It's Corey saying, 2:00:03 "Okay, good." Okay, good. I listen I 2:00:07 felt like I was absolutely on the verge 2:00:09 of mansplaining your own Twitter handle 2:00:11 to you Corey. So so [laughter] but I 2:00:14 there wasn't a Corey Sandler pottery 2:00:16 there other than in your name but the 2:00:17 tag itself was Corey Sandler. So I 2:00:19 didn't see anything else. I didn't see 2:00:20 any other options. So I think that was 2:00:22 it. So I'm glad I'm glad that worked out 2:00:24 because [laughter] 2:00:29 All right everyone um I got to get out 2:00:31 of here. the voice. She is going and 2:00:34 hope you had fun tonight. Um I we we 2:00:38 didn't even get to a bunch of cool [ __ ] 2:00:40 that we can go look at this week, but 2:00:41 we'll go look at some other stuff. All 2:00:43 right. Is today Wednesday? Yeah, today's 2:00:45 Wednesday. So, tomorrow is not Friday. 2:00:49 Tomorrow's Thursday. 2:00:52 How to make high quality UGC videos. Um 2:00:55 start with a good idea. 2:00:58 um 2:01:00 start with storytelling. I've my my 2:01:03 company Story Vine like what we do is 2:01:05 high quality um user generated video. 2:01:08 It's all about story structure. Um 2:01:13 and if you can provide that to people, 2:01:15 you know, it makes it it makes it 2:01:16 easier. But um but are you talking about 2:01:20 are you talking about human beings being 2:01:22 in videos or like avatars and things 2:01:24 like that? because those are very 2:01:25 different things because those are 2:01:27 getting the the technologies there to do 2:01:29 them pretty good right now. 2:01:31 [clears throat] 2:01:40 All right. Thank you everybody. Joe, 2:01:41 thank you for doing Yes. Real humans. 2:01:44 Um, yeah, like I would basically say 2:01:46 highly templatized story frameworks is 2:01:49 the way to get if you need if you want a 2:01:51 lot of UGC content across people, you 2:01:54 need to have some sort of templated 2:01:55 framework. You can if you want you can 2:01:57 download the StoryVine app. There's free 2:01:59 templates in it. You can just play with 2:02:00 it and see what that's like. Um, you can 2:02:03 use those free templates as much as you 2:02:05 want. So go make a bunch of just have 2:02:07 people download the StoryVine app and 2:02:09 answer your questions. All right, cool. 2:02:11 Corey Sandler, this was special. 2:02:12 Awesome. Fantastic. So, that video is up 2:02:15 there. Go play that video. Go tag that 2:02:17 uh that expost. And I will see y'all 2:02:19 tomorrow. So, I hope you had fun 2:02:21 tonight. Peace out.