AI Learning Lab

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

oAx4DhVN5y8
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

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.