
AI Learning Lab
9/23/2025 - Suno V5's Music Magic and Google's Mixboard

Live Stream2025-09-241:55:34131 views
Description
What's in the AI water today?! Lot's of new toys to play with.
In this AI Learning Lab session, Kyle Shannon explored several new AI tools, focusing on Google's Mixboard and Suno V5. He demonstrated Mixboard's image generation capabilities, creating a visual mood board by prompting and arranging images on a canvas. Kyle also showcased the ease of integrating outputs from other AI tools, such as Midjourney, into the Mixboard canvas. He touched on the limitations of current AI, lamenting restrictions on generating variations of images with people and emphasizing the need for more robust alignment tools. Kyle also discussed the broader landscape of Google AI tools, highlighting Gemini, AI Studio, and Labs as key resources for AI enthusiasts and developers. He encouraged viewers to explore these tools and develop their "vibe coding" skills, predicting the increasing importance of personalized software creation.
Kyle then delved into the exciting advancements of Suno V5, demonstrating its enhanced music generation capabilities. He remastered an older song and created a new track, "Matchbook Memory," inspired by a custom GPT he developed. The new track blended barbershop quartet harmonies with arpeggiator and funk trap elements, showcasing Suno V5's ability to generate complex musical arrangements and high-quality audio. Kyle discussed the potential of AI in music production, predicting a rise of skilled artists using these new tools while acknowledging the potential for an influx of lower-quality, algorithmically generated music. He emphasized the importance of mindful creation and encouraged viewers to embrace these evolving technologies, highlighting the opportunities for both established and aspiring artists.
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#AI #ArtificialIntelligence #MusicProduction #ImageGeneration #GoogleAI #SunoV5 #Mixboard #VibeCoding
Chapters:
00:00:00 Opening Remarks
00:02:49 New AI Tools
00:07:02 Mobile AI
00:11:15 Copy/Paste Confusion
00:13:20 AI Discussion
00:16:26 Mixboard Demo
00:21:50 Midjourney Integration
00:25:35 Google AI App Tour
00:28:21 To Kill You For A Dollar Video
00:32:15 AI Video Production
00:36:20 Celeste Marlo Story
00:39:19 Google Gemini Overview
00:46:01 Google AI Studio
00:50:36 Chroma Awards
00:56:09 Google Labs
01:00:04 Talking Tours Demo
01:02:05 Vibe Coding with Google AI Studio
01:18:22 Suno V5
01:24:29 Matchbook Memory Song Creation
01:37:16 Suno Stems
01:41:33 X Post and Closing Remarks
Chapters
0:00Opening Remarks2:49New AI Tools7:02Mobile AI11:15Copy/Paste Confusion13:20AI Discussion16:26Mixboard Demo21:50Midjourney Integration25:35Google AI App Tour28:21To Kill You For A Dollar Video32:15AI Video Production36:20Celeste Marlo Story39:19Google Gemini Overview46:01Google AI Studio50:36Chroma Awards56:09Google Labs1:00:04Talking Tours Demo1:02:05Vibe Coding with Google AI Studio1:18:22Suno V51:24:29Matchbook Memory Song Creation1:37:16Suno Stems1:41:33X Post and Closing Remarks
Transcript
0:00 Heat. Heat. 0:09 [Music] 0:27 [Music] 0:37 Heat. Heat. 0:47 Oh 0:53 hey 0:57 [Applause] 1:00 [Music] 1:07 [Music] 1:16 a 1:18 [Music] 1:25 [Music] 1:27 [Applause] 1:29 [Music] 1:34 Good evening, good people. 1:36 >> What is happening? What's shaking? 1:38 What's going down? 1:40 [Music] 1:46 [Applause] 1:48 Are there really only two people in 1:49 here? There's more than two people in 1:50 here. Tik Tok's weird, man. 1:55 Wait. One, one, two, 1:59 three, four. 2:02 It's like six people in here. Seven 2:04 people. I don't understand Tik Tok. 2:16 [Music] 2:20 Girl, 2:22 you're looking 2:24 fine tonight. 2:27 [Music] 2:29 Every fella's got you in his sight. 2:34 [Applause] 2:37 What you doing with a clown like me? 2:42 [Music] 2:44 He's surely one of life's little 2:48 mysteries. 2:51 You You and I were in key there, little 2:53 buddy. So tonight 2:58 [Music] 2:59 stars above. 3:01 [Music] 3:05 Wait. 3:07 How did I 3:11 [Music] 3:13 ever win your love? 3:18 What did I do? 3:22 What did I say 3:25 [Music] 3:27 [Applause] 3:29 to turn your to turn your angel 3:35 my way? 3:40 I'm the guy that I never learn to dance. 3:50 I never even got one second glass 3:57 across a crowded room that was close 4:00 enough. 4:02 [Music] 4:04 I could look but I could 4:07 never touch 4:09 [Music] 4:14 the stars about 4:17 [Music] 4:18 that 4:19 [Music] 4:23 ever with your love. 4:28 What did I do? 4:31 What did I say? 4:35 [Music] 4:36 to turn your angel as my way. 4:44 [Music] 4:50 So, you know how last night I said we're 4:52 going to dig deep cuz there was not a 4:54 bunch of new stuff to play with and I 4:56 thought it was time we we should get 4:59 back into some tools and just dig a 5:00 little deeper. Well, like a bunch of new 5:02 [ __ ] came out today. 5:06 So, we're going to be doing that. We're 5:08 going to be looking at new stuff. What's 5:09 happening everyone? If you're new here, 5:11 my name is Kyle Shannon. This is the AI 5:12 learning lab. 5:17 If you have questions about AI, opinions 5:19 about AI, fears about AI, excitement 5:23 about AI, 5:26 a name with the letters A and I in it. 5:30 [Applause] 5:35 [Music] 5:41 Standing between 5:44 you and a hard place is insane. 5:47 [Music] 5:51 Standing too near 5:54 you in a fire makes it clear 5:58 [Music] 6:00 your trouble to me. 6:05 [Music] 6:06 Bridge trouble. Can't you say 6:09 [Music] 6:12 leaning in close? 6:15 Smell of your perfume scares me most. 6:21 Leaning away 6:24 feels farther every day. 6:31 You're trouble to me. 6:37 Rich guy, 6:40 [Music] 6:43 [Applause] 6:45 [Music] 6:47 what do you think there, Jeffy? 6:53 [Music] 6:56 Um, 6:58 yeah. So, we we'll get we'll get looking 7:00 at some stuff. Y'all been playing with 7:02 anything interesting on mobile because 7:05 lots of lightning. Yikes. 7:08 It was raining all day today here in in 7:10 Denver. Denver, Colorado. They said it 7:14 was downright soupy. 7:16 Soupy sales. Thank you for sharing the 7:19 live, Danielle. That helps a lot. Get 7:21 some more folks in here. I do appreciate 7:25 it. 7:28 [Music] 7:55 [Music] 8:04 The boys were singing, jingling 8:08 the summer that we met. 8:12 You were 10 and seven. Wait, and 17. 8:17 How could I forget? 8:20 [Music] 8:21 Um, 8:25 wait. 8:31 The boys were singing shingling the 8:33 summer that we met. You were 10 and 17. 8:38 How could I forget? 8:41 I was shy to kiss you while the whole 8:44 wide world could see. So, shingling 8:48 shingling said everything for me. 8:52 [Music] 8:54 The way we danced was not a dance but 8:58 more a long embrace. 9:01 We held on to each other and floated 9:05 there in and floated there in space. 9:10 I was shy to kiss you while the whole 9:13 world could see. So shingling said 9:17 everything for me 9:22 and all the poor old old folks. They 9:25 thought we'd lost our minds. 9:28 They could not make heads or tails of 9:31 the young folks funny rhymes. 9:35 You and I knew all the words and we 9:37 always sang along 9:40 to old shaming dong ding shine dang 9:47 dong. 9:49 [Music] 9:56 That's a pretty old song, ain't it? I 9:59 like that pretty old song. Sent too 10:00 soon. I started a book, a hard coverver 10:03 book. I wanted to copy a quote as I 10:07 pressed my finger. 10:09 What's that mean? 10:15 I embraced an old art. 10:23 [Music] 10:34 [Applause] 10:40 Okay. 10:42 [Music] 10:42 [Applause] 10:48 Woohoo. 10:52 [Music] 11:15 Okay. What do you say we get this show 11:18 started? 11:20 Like copy paste. Never mind. Girl too 11:23 used to tech. Girl reads paper. Girls 11:26 girl can't copy paste. 11:29 Silver Fox is just having a whole little 11:32 conver She's having a whole tech support 11:34 conversation with herself at the moment. 11:37 It's fine. You can just She's good. 11:38 She's all right. She'll be okay. 11:44 What? Hey. Hey, honey. What's the key 11:46 for copy? Hey, Marge. Marge. Yeah. Hey, 11:50 when I'm cop is copy the same thing as 11:53 cut it. It's not. See, that's where I 11:56 get confused. 11:58 But no, paste. I understand. That's 12:00 where you stick it in. I didn't mean it 12:02 like that. That was so silly. It's just, 12:05 you know what I mean? You know what I 12:06 mean? I know it was not fun. That That 12:09 was sophomore humor. No, I get No, I 12:11 understand. I understand. No, Pat say 12:13 Jack would never make a joke like that. 12:15 That's correct. That is correct, honey. 12:17 Yep. Nope. I know you like the wheel. I 12:19 do. I No. Pretty. I was just trying to 12:22 if if the copy and the and the cut were 12:24 the same because I didn't I couldn't 12:26 figure and Yeah. No, I'll figure it out. 12:28 I I know. I got the Google. I got the 12:30 Google. I do. Yep. No, I'll I'll turn it 12:33 on. How do I How do I know it's on 12:35 again? Right. It's just It's on. It's 12:37 just on. If I If I go to the Google 12:40 Yeah. Yeah. That Marge, she's helpful. 12:43 She is helpful. I don't know if you've 12:46 if you've met Marge. Why is my light not 12:48 lighting? Whatever. 12:51 I I try to be professional around here. 12:53 I don't have a producer tonight. 12:56 I got the wrong cameras going. I don't 12:58 have the black bar up. It's just a mess. 13:01 Happy Rashana, by the way. 13:04 If you celebrate that, you're probably 13:06 not watching this. 13:11 Or maybe this is your treat. Maybe maybe 13:14 the AI learning lab is your manachevitz. 13:20 Oh man, Source Camp, what's happening? 13:24 So, we got we have uh we have Sunno 5 to 13:28 play with tonight. We've got Google's 13:31 got Mixboards out. Google also added 13:35 Canvas to um to Gemini. So, in the 13:39 tradition of all of the AI model 13:41 companies copying one another, you've 13:44 now got that feature in in uh in Gemini 13:48 as well, 13:51 cuz why not? Um, 13:55 what else? I had a I had a good day in 13:57 Midjourney today. I spent a lot of time 13:59 in Midjourney. 11 Labs is now part of a 14:02 new award uh an award season thing that 14:06 I want to I want to get some of the uh 14:09 some of the talented people from the AI 14:11 salon. I think we should I think we 14:13 should gang up and and do some 14:15 submissions for the Chroma Awards and uh 14:18 show show stuff off to one another, 14:20 things like that. OpenAI plugged the 14:22 hole that I was using to use connectors 14:26 without losing chat memory. Well, there 14:29 you have it. That's one of the reasons 14:32 if you're if you're not into open-source 14:35 AI stuff, one of the reasons to be into 14:38 open- source AI stuff is, you know, when 14:41 you're at the mercy of 14:44 these big companies that are hosting 14:46 their own large language models, they 14:48 just change [ __ ] right? It's, you know, 14:50 but we've been dealing with that with 14:51 Google for years. So, that sucks, 14:53 though. All right. 14:56 Um, sadly haven't been playing with 14:58 much. Just doing a massive rewrite on my 15:01 novel. 15:03 Yeah. Well, 15:06 I am I am also currently in the middle 15:11 of just doing a bunch of the a bunch of 15:14 the heavy lifting work. 15:17 Like a lot of my creative a lot of my 15:19 all of my projects were all kind of 15:21 stopped at the same place was the which 15:23 was the place where I have to do the 15:25 work. 15:28 I'm addicted to starting things and 15:31 having a good times in the endorphin 15:33 rush phase and then the minute it gets 15:36 into the h [ __ ] I got to do [ __ ] that's 15:39 that's where they seem to stall. 15:46 Ah, good lord. Welcome to AD Welcome to 15:49 the ADD club. Um, if you're Neurospicy 15:53 and you know it, clap your hands. Can 15:56 relate. 16:00 Hey Otto, what's happening? Haven't seen 16:01 you in a while. Welcome back. Welcome, 16:03 welcome, welcome. Um, let's see. What do 16:06 we want to go play with tonight? Let's 16:08 Let's start with Mixboard. Mixboard 16:10 looks pretty interesting. 16:14 [Music] 16:17 That is not There we go. 16:21 All right. 16:24 So, 16:27 make something fun. 16:30 Okay. Text. Okay. So, what you're 16:33 looking at, 16:35 Google Labs Discord, report an issue. 16:39 What you're looking at is just a big old 16:42 canvas. 16:46 that you can stick images on, that you 16:48 can generate images onto. 16:51 Um, 16:54 and the minute I saw this, I'm like, we 16:57 could just go vibe code this, 17:01 which which because there's really not 17:04 much here. So, what this thing is, let 17:05 me let me zoom in a little bit. All 17:08 right, so these are just starter ideas. 17:10 Make something fun. Imagine new ideas. 17:11 Plan a party. So, what this is is I 17:14 guess it's got nano banana behind it, 17:16 but you can also copying you can copy 17:19 and paste things in from other other 17:22 places. 17:24 So, I don't know how aware the system is 17:26 of 17:29 of other things, but so let's try this. 17:31 We'll try um 17:34 um New York City 17:38 um street 17:43 That's good. New York City street in 17:46 Spanish 17:48 Harlem in the 1980s 17:55 on a sweltering day. 17:59 All right. Well, black bar. Sorry. 18:03 We're producerless. I need a shot collar 18:05 tonight. 18:07 Can someone pin the name of the tool, 18:09 please? Uh yeah, 18:12 it's uh labs.g Oh yeah, I didn't even 18:15 say this. Labs.google.com 18:19 slashmixboard 18:21 m iix b o a r d. 18:25 All right. So what it just did now I 18:28 don't Here's what's a here's a 18:30 fascinating thing. I think 18:33 it um 18:39 I think it edit anything. Select one or 18:42 more blocks. 18:45 How do I move? 18:48 How do I move? Select blocks with a 18:50 space bar. What's that? Upload image. Uh 18:54 oh. 18:55 Spanish Harlem. 18:58 I don't know how to move around this 18:59 thing. Can I zoom in on something 19:01 particular? 19:02 Do I Hang on. I'll figure this out. 19:07 Uh, no I won't. Okay, I can move that. 19:11 But how do I move? Oh, spacebar 19:12 probably. Yes. 19:15 Spacebar. Okay. 19:19 I think all these are generated images. 19:21 So, if I click on that image, what do 19:23 you want to change? Um, put her in an 19:28 orange 19:30 dress. 19:40 Uh, 19:41 [Music] 19:44 so yeah, these are all generated. Looks 19:46 like it's taking photos from Spanish 19:49 Harlem by Rob Thomas. No, it's 19:52 generating these 19:55 It's generating these because there she 19:56 is in her red dress. It's not quite the 19:58 same image. So that's that says to me 20:01 these are being generated. 20:03 There's a rose in Spanish Harlem. 20:08 Um that was the first place I lived in 20:11 New York City. 114th Street and 1st 20:13 Avenue. 20:15 And I'm I'm making So I made the Suno 20:19 song To Kill You for a Dollar. 20:23 And 20:25 this is so cool. 20:27 Oh, and then Oh, that's cool. Look at 20:29 that bike. That's super cool. 20:32 Um, 20:35 so the so what you do here is if you get 20:37 a so you get a picture you like, you 20:39 move it over here. We'll grab the bodega 20:41 picture. We'll grab the bike picture. 20:43 We'll grab the scratched albums. 20:47 And now I can come in here and I can 20:50 just go I think if I think if I just go 20:54 um 20:56 gypsy 20:58 cab 21:00 with 21:03 grizzled 21:06 driver 21:08 in 21:11 New York City 1980s. 21:16 Oops. I put 9080s. 21:20 But I think what this is going to do is 21:22 get rid of all of the stuff. All right. 21:25 There's a spot there. I guess I just 21:27 kill the stuff I don't want. 21:30 Um, let's see. I'll keep that. I'll keep 21:32 that guy. 21:36 And then I'm going to just grab all this 21:38 and go bang. Delete it. 21:42 Yeah, that's pretty slick. That's pretty 21:45 slick. And then I can upload [ __ ] So if 21:48 I go over to 21:51 here we are in midjourney. Let me share 21:53 this tab. 21:56 Um let me find a picture. 22:01 Oh those are cool. That's Kansas City 22:03 small town. 22:06 Well that's cool. Let's grab Let's copy 22:10 this one. Copy image and then go back to 22:14 Mixboard. 22:16 and share this tab and then go paste. 22:19 All right, that's pasting in that 22:21 picture. All right, so this is cool. So, 22:23 I can now take a picture 22:26 from MidJourney 22:28 and I'm going to say, um, give me 22:33 black and white photos of Spanish 22:37 Harlem, 22:39 New York City in 22:42 1980s 22:44 that match 22:46 the style here. 22:49 And it should use that as a style as a 22:52 style guide. 22:55 Let's see what we get. 22:58 Yes, it did. That worked. 23:03 What's that? Remove background. More 23:05 like this. 23:09 All right, let's do more like this. 23:13 Mixboard can't create various variations 23:16 of images of people. Of course not. 23:19 Could could we please just sign a 23:22 [ __ ] waiver 23:25 that we're adults and we can make 23:26 [ __ ] pictures of what we want? 23:28 Please. 23:31 Good lord. If I do something illegal, 23:34 arrest me. But let me [ __ ] do some 23:36 work. 23:39 Good god. 23:41 All right. This doesn't have any 23:42 alignment tools, which is a bit of a 23:44 pain in the ass. 23:53 Get rid of that. Get rid of that. 23:57 This is pretty slick, isn't it? 24:02 It's pretty damn slick. And this is 24:05 totally vibe codable, 24:08 which we can go play with canvas and 24:10 actually do that. 24:15 D. 24:18 Let's do more like this. Oh, it can't 24:20 because it's got a person in it. 24:22 Mixboard can't create variations of 24:24 images of people. Unbelievable. 24:27 Unbelievable. 24:29 Unbelievable. Unbelievable. Where we are 24:32 people, we are at 24:34 labs.google.com/mixboard. 24:38 It's actually a very simple app. 24:40 You prompt images into it. You can drag 24:43 them around, resize them, order them. 24:47 Um, what's this do? Duplicates the 24:51 block. What's this do? Regenerates the 24:53 image. 24:56 Is there a way to organize? 25:00 What do you want me to change? I don't 25:01 think so. 25:05 You just re You squeeze to hold down the 25:08 space bar to move [ __ ] around. All 25:12 right. Well, 25:14 well, people, 25:18 why is this not working all of a sudden? 25:20 Um, oh, because that's as small as it 25:22 gets. 25:26 So, it's not an infinite canvas, but 25:28 it's a large canvas. 25:31 All right, that's not bad, 25:35 huh? It feels like Google has hundreds 25:38 of apps. Any chance you could give us a 25:40 little tour? 25:42 Oh, good lord. I can try. Um, 25:46 there's kind of three major areas where 25:49 you can where you can find apps from 25:52 Google. So, let me show you. So, the 25:55 first one, the the the main one 25:59 that where you should be um where where 26:02 where you may want to start is 26:06 gemini.google.com. 26:09 And this is just like chat GPT ex but 26:12 for Sept except it's got deep research. 26:16 It's got create videos with VO. I'm not 26:18 sharing this tab. Someone yell at me. 26:21 Order them. How? Uh you can't order them 26:23 from what I can see. Were you in New 26:25 York in the 70s? No, I was in New York 26:27 in the 80s. I moved there in 1987 26:30 and uh I was a photographer and an actor 26:33 and a sort of a musician 26:37 and I did I ran a theater company for 26:41 four and a half years. 26:43 I was in East Harlem and then I met the 26:46 woman who's now my wife and she lived in 26:50 Soho. So, so I got a major upgrade. I 26:53 went from Spanish Harlem to Soho. 26:58 in like my second year year in New York. 27:01 [Laughter] 27:03 And then uh then I wrote a bunch of 27:06 screenplays. I was doing desktop 27:08 publishing as my day job. And then the 27:11 worldwide web came along and I started 27:13 one of the first online magazines and I 27:15 started one of the first digital 27:16 agencies company called agency.com. So, 27:22 oh man, that's quite a tra trajectory. 27:24 Yeah, it was crazy. It was crazy. And 27:27 then agency.com grew really big and um 27:30 we moved out to Brooklyn and then 27:34 sold that in 2002 to Omnicom and then 27:40 moved up to like Westchester, 27:42 Connecticut, like like uh South Salem, 27:46 New York, and then Stanford and then 27:48 Ridgefield. 27:50 And then my boys got all stressed out 27:52 cuz 27:53 if you're not a [ __ ] hedge fund 27:56 manager, 27:58 if you're an ex actor, living living in 28:00 Westchester County is they're not your 28:03 people. 28:06 So that's what got us out to Denver, 28:09 then to Westchester. Yeah. Moved out to 28:12 Brooklyn. Yep. So 28:17 Oh man. Yeah. them was the days. And 28:20 actually, that's the I'm working on a 28:21 video right now. So, let me here we'll 28:23 we'll come come back to our Google tour 28:25 in a second, but let me show you. I'm 28:27 working on um a video right now 28:33 for to kill you for a dollar. 28:42 So, these are a bunch of the bunch of 28:44 the raw clips I made today. 28:50 And in fact, what I'll do, 28:54 how can I do this? 28:58 Um, I think 29:12 I think you should all be able to hear 29:14 that. Can you hear that on YouTube? 29:17 [Music] 29:27 to kill you 29:29 for a dollarpot. 29:39 >> So these are these are the uh 29:42 the clips 29:45 Look like a warm one. Your future all 29:48 set. Let me lick your pockets. I'll take 29:52 what I can get. I don't need your 29:56 contacts, your jokes, or your love. Do 30:00 you have any smoke? 30:04 [Music] 30:11 >> The rats control. 30:15 They multiply and feed upon their young. 30:19 [Music] 30:22 They flock, 30:24 they strain, 30:26 they push 30:28 to be 30:31 much more 30:34 [Music] 30:34 [Applause] 30:40 Like 30:42 the light 30:44 [Music] 30:52 destin 30:57 you for another 31:04 [Music] 31:07 static field to the moon. This is the 31:11 channel that leads you back home. A 31:14 dollar for hell. A dollar regret. Dollar 31:20 silence your conscious can't forget. And 31:25 here they 31:30 push 31:32 to be 31:34 much more 31:36 than they can be 31:48 [Music] 31:55 their destin 32:09 to kill you for a dollar. for a dollar. 32:16 >> There you go. So, anyway, I'm going to 32:18 be cutting those together. Archetypal. 32:21 Everyone that's good at these videos is 32:22 so much more literal than I am. I keep 32:24 trying to match the things with the with 32:26 the um with the lyrics and it comes out 32:29 like crap. So, here's here's the So, I 32:32 spent this past weekend trying to make a 32:36 literal video, right? trying to make 32:38 something that looked exactly like some 32:40 people, sound exactly like some people, 32:42 and it's [ __ ] hard. The tools just 32:45 aren't there yet. So, something like 32:47 this where this is like the song itself 32:51 and and the memories I'm trying to 32:54 convey are more like a fever dream. And 32:57 so, it doesn't have to be perfect, 32:59 right? Like, I don't want to I don't 33:01 ever want there to be anything in this 33:03 that feels obviously AI. I want it to 33:06 feel analog and I want it to feel like 33:08 it was filmed in the 80s. Um, and I 33:12 wanted to capture 33:14 like what the song's about, 33:17 which is about, you know, like Bohemian 33:20 white kids living in Spanish Harlem 33:22 trying to survive and make it and, you 33:25 know, in the middle of the crack 33:27 epidemic. 33:29 Um, 33:32 yeah, I'm like, "Oh, this is talking 33:34 about X. I need to make a clip of X. 33:36 Listen, it's just a it's just a 33:38 different skill. And and you can develop 33:40 the other skill archetypal. It's not 33:42 where you default, but like that's 33:44 that's the thing about this AI thing 33:46 where we are with AI is those things 33:49 that feel like shortcomings right now 33:52 aren't, right? Because what you could 33:54 say is you could say to chat GPT. 33:58 Um, I'm going to give you a a set of 34:01 lyrics here and you could just explain 34:04 to it. My default is to match this thing 34:07 image for image. And what I want you to 34:08 do is I want you to help help me think 34:11 more creatively, like what could be an 34:13 overall theme of this that's not a 34:16 literal duplication of it and have it 34:19 come up with 10 of those and then have 34:21 it give you a shot list and take those 34:23 into midjourney and pick a weird ass 34:26 style. 34:28 You know, I've been I've been showing 34:29 you guys for the past couple of couple 34:32 of weeks. They've got this new style 34:35 browser in MidJourney. You can all see 34:37 that, right? And you can just come in 34:40 here and you can say like like what I 34:42 did was I did um Kodak Chrome. 34:45 Uh Koda 34:47 Chrome. 34:51 Did I spell that right? Uh KOD. Yeah, I 34:55 think I spelled that right. Kodak 34:56 Chrome. And then I just went went down 34:58 here and I just I just did a bunch of 35:00 test renders 35:02 of 35:04 things until I found a style that I 35:06 liked. Here, let me go show you if if I 35:08 go back in my 35:11 like here's here's some that were really 35:14 cool, 35:16 but like that's not this isn't the 35:18 feeling of what I was going for. These 35:21 are really cool, but they're more like 35:23 50s than 80s or they're more like Cuba 35:27 than 35:29 than uh Spanish Harlem, right? 35:34 So, those didn't work. And then 35:38 I don't know, like these were these are 35:40 a bunch of my tests, right? See how they 35:42 like they just have that feels like 35:44 Disney World in the 70s rather than 35:46 Spanish Harlem in the 80s. 35:50 And then some of these are too surreal. 35:53 Like that's that's really cool color 35:55 grading, but not the right like it's 35:58 just not the right aesthetic. 36:07 So you just vomit stuff out until you 36:10 can get something you like. Um that 36:13 lady, this lady I did another um Twice 36:18 upon a time. So here, let me go show you 36:21 that. 36:25 [Music] 36:37 So, we got her 36:39 and we got her. 36:44 And this is uh 36:50 this is Celeste Marlo. Once upon a time, 36:52 Celeste paused outside a cafe when a 36:55 stranger offered her a matchbook to 36:57 light a candle on at her table. She 37:00 slipped it into her pocket instead and 37:02 walked on, never striking a flame. Years 37:04 later, her world glowed with color in 37:07 other ways. Brush bristles heavy with 37:09 oil, canvases leaning against every 37:11 wall. Her sweaters carried the scent of 37:14 tarpentine. Her hair powdered with 37:16 pigments of ochre and teal. She painted 37:19 storms and seas and the secret pulse of 37:22 silence. In quiet moments, she traced 37:24 city skylines in her mind without 37:26 knowing why. Humming as if the streets 37:28 themselves were a tune she'd have 37:30 forgotten. Twice upon a time, Celeste 37:33 flick flicked open that same matchbook, 37:36 touched a flame to wax, and met the eyes 37:39 across the table. A conversation became 37:41 a doorway, and soon the city claimed 37:44 her. She stroed through its avenues in 37:46 tailored suits, pockets brimming with 37:49 ambition, her face catching the molten 37:51 light of sunset between the towers. 37:53 Boardrooms became her canvases, 37:55 contracts her strokes of paint, and the 37:57 rhythm of rhythm of traffic, her 38:00 metronome. Yet on restless nights, she 38:02 found herself sketching swirls of color 38:04 on napkins, the scent of tarpentine 38:07 ghosting through her dreams. And now, 38:09 whether heels on pavement or fire on 38:12 canvas, she burns her way deeply into 38:14 your memory, an indelible force of 38:16 nature. Huh? Yeah. Tell me AI can't be 38:21 creative. Team it up with a human and it 38:23 can. Yeah. Dang it. I'll tell you what. 38:27 I will tell you what. 38:30 AI is rendering slop. 38:33 Is that a color? It's a shade of yellow. 38:35 Ochre. Yeah. Yeah. Ochre is a is a uh a 38:40 specific shade of yellow that that is 38:43 like an oil paint color. It's an olden 38:47 timey color. Um all right. Let's say 38:51 let's see there. Let's see there. 38:56 Um 38:58 [Music] 39:01 LLM's definitely women. 39:05 [Music] 39:16 All right, let's go. Uh, what was I 39:19 showing you? I was showing you Google 39:20 Gemini. Okay. So, if if you want to find 39:24 all of Google's tools, 39:27 there's kind of three major places you 39:29 can find them. The first one is 39:31 Gemini.google.com. 39:32 [Music] 39:34 And so, this is just like chat GPT. 39:36 You've got Gemini 2.5 Pro and Gemini 2.5 39:40 Flash, which is the faster one. Pro is 39:43 the deeper one. And then you have tools. 39:45 You've got deep research, create videos 39:48 with VO. I've got a bone to pick with 39:51 them on that one. Um, you've got create 39:54 images, which is nano banana. It's got 39:56 the little banana beside it. You've got 39:58 canvas, which is brand new. And then 40:00 you've got guided learning. 40:02 And so guided learning will create a a, 40:05 you know, uh, guided learning tools. And 40:08 if you go over here to the left, if you 40:10 open up the left sidebar, it's also got 40:12 this thing called storybook and then 40:15 explore gems. And so gems are like 40:17 custom GPTs and they've got a handful of 40:20 them here, but they just made it so that 40:22 you can now share gems. You can share 40:25 your custom Google GPTs basically. So 40:31 that's what that's got. Um, 40:35 let's see. Let's go back to new chat 40:38 here. Um, you can talk to it. Oh, the 40:41 create videos with VO. I pay the 40:45 exorbitant like $250 a month 40:48 subscription for Gemini Ultra to be able 40:52 to do I don't know if it's unlimited 40:54 videos, but a lot of videos with with 40:57 V3, 40:59 but the credits don't apply here. They 41:02 apply over at flow.google, 41:05 but they don't apply here. That that 41:08 kind of [ __ ] makes me insane. Like 41:11 Google needs to get their [ __ ] together 41:13 and they're getting better. They're 41:14 getting better, but that kind of crap 41:17 where it's just like, "Oh, sorry. That's 41:19 another division." Yeah, they they're 41:21 just using our API, so you know that 41:24 that credit doesn't apply. That that 41:26 kind of [ __ ] makes me nuts. Um, 41:30 Canvas here is really cool. So, so watch 41:33 this. So, Canvas is is just like Canvas 41:36 and Chat GPT. They even named it the 41:37 same thing. I don't why these guys 41:39 aren't suing the [ __ ] out of each other 41:41 for just, you know, product infringement 41:43 is beyond me. Um, 41:47 let's see. It's not unlimited videos. I 41:49 have it. It's like six. It's not like 41:51 six. When you when you pay the 250 bucks 41:55 a month at flow.google. 41:57 No, 41:59 I've reached my limit and was very 42:01 disappointed. Oh, maybe it is. I don't 42:02 know. Um, but check this out. So, I I 42:06 just clicked the canvas button. And so, 42:07 I'm gonna I'm gonna say this. Um, I want 42:11 to create an app 42:14 that uses Nano Banana. 42:20 um 42:22 to turn any 42:26 uploaded photo 42:29 into a 1980s 42:32 style 42:34 poster 42:37 and we'll just we'll just leave it at 42:39 that. A shitty shitty prompt 42:43 and then we'll just watch this thing do 42:45 its thing. If you've not watched one of 42:47 these tools, these large language models 42:50 build an application before your eyes. 42:52 It's it's kind of face melting. So, this 42:55 is identical to Claude. It's identical 42:58 to chat GPT, right? It's identical to 43:00 anything where you've got your chat 43:01 window here. It's already done. Retro 43:04 posterizer. And so, select the file to 43:07 get started. I wonder if I can 43:10 Oh, that doesn't look like it's live. 43:14 Um, 43:16 the upload box does 43:23 not appear to be live. I did this before 43:27 and it worked perfectly the first time, 43:29 but it took longer than that. So, that 43:31 that must have just done a shitty 43:34 a shitty programming job. Thanks for the 43:37 feedback. 43:47 [Music] 43:51 All right, now it's working. Okay, so 43:54 let's go grab a picture. Okay, we'll 43:55 grab her. Oh, wait. You can't see that. 43:57 It's a popup. Whatever. But it a popup 44:00 window came up. So, there's the there's 44:02 the uh the little doll poster we did the 44:06 other day. And so, we're going to now 44:07 generate poster. 44:14 So there's where we're starting with 44:18 and it's using Nano Banana. And there's 44:20 our 80s poster. That's [ __ ] amazing. 44:27 So So we just made an application in in 44:30 what was in what was that? 44:34 How long did that take? 44:37 So that's Canvas. So if you haven't 44:39 played with Canvas, go [ __ ] make some 44:41 apps. and then you can share them. I 44:43 don't know like are they any good? Do 44:45 they have database backends? All that 44:46 sort of [ __ ] I don't [ __ ] know. 44:49 Probably not. It's pro like like 44:51 everything with AI right now. It's all 44:52 janky. But you can certainly see what's 44:55 coming, right? We can certainly see that 44:58 we're we're entering a world of um 45:03 highly personalized customized software. 45:06 I wrote the same prompt but using 1930s 45:09 style. I am floored. Right. Isn't this 45:12 amazing? 45:14 Isn't it amazing? 45:16 [Laughter] 45:20 What's your name? Uh, Mojisa. Is that 45:23 right? Did I say that right? Or 45:24 Mohisila. 45:26 Um, yeah. It's it's it's bonkers, isn't 45:29 it? It's just it's absolutely bonkers. I 45:32 did one I did a uh I entered into a 45:35 contest. Uh, I did a pet selfie maker. 45:39 So, you upload a picture of your pet and 45:41 then you choose like like where you want 45:44 your pet to send you a selfie from in 45:46 the world and it's just your pet sending 45:49 you selfies. It's pretty cute. Um, but 45:52 you know, again, it it didn't really 45:54 require much thinking or much thought. 45:56 So, gemini.google.com 45:59 is one place to get tools from Google. 46:02 The next place to go is a 46:05 studio.google.com. 46:09 Now, this is a bit there's a bit more 46:14 [ __ ] here that if you're not a developer 46:16 is going to confuse you, like get API 46:18 key. Here's your API quick start guide 46:22 and then it's a bunch of curl code. If 46:25 you know what curl code is, great. If 46:27 you don't, this is going to confuse the 46:28 [ __ ] out of you, right? Um, 46:32 but you can try Nano Banana here. You 46:34 can generate native speech. So, you can 46:35 try a lot of their more recent tools. 46:38 And then over in the right hand side are 46:42 all the different models that you can 46:44 play with. And it's also got pricing for 46:46 the models. So, if you're a developer, 46:49 Google AI Studio is where you come to 46:51 design your prompts and test your 46:52 prompts and things like that. 46:55 And um you know you can play with 46:58 temperature and things like that. The 47:00 the 47:02 um the generate media button is they've 47:05 sort of gathered up things like imagine 47:09 um which I think they just came out with 47:12 a new version of imagine. So let's let's 47:14 try my wait imagine generation with 47:18 studio has limited free quota for 47:21 testing to generate images beyond this 47:24 limit. pay us money. Yeah, I get it. 47:26 Okay, so we're going to go 16 by9. I'm 47:28 going to do my classic uh 70s muscle car 47:35 resto mod. 47:39 Um, in an abandoned 47:42 factory 47:45 factory tori damn it, tori 47:50 with a banner 47:53 over the car that says 47:58 um, 47:59 Detroit muscle rocks 48:05 in 1970s 48:08 style. 48:12 Detroit muscle. Let's put it in quotes. 48:17 Detroit rocks. All right, let's see how 48:20 quick it is and how good it is. Oops. 48:23 What did I do? Banner over the car. 48:30 Run. All right. 48:33 Output resolution 1K or 2K. 48:37 Number of results you can do it. One, 48:39 two, three, or four. 48:42 Use your microphone. 48:44 Am I not using my microphone? 48:50 I'm using my microphone. What are you 48:52 talking about, Mr. 48:57 Is it strange 49:00 that I've listened to the quantum cipher 49:02 so much now that my Spotify? 49:09 What? Wait. Uh, I'm trying to expand 49:11 this talk box. This prompt box. Damn it. 49:15 [ __ ] Tik Tok's interface sucks. 49:20 Oh, that shows Kyle Shannon. That's my 49:22 favorite artist. Yeah, that's that's a 49:24 problem. That's definitely a problem. 49:27 Um, Detroit Muscle Rock. So, this is 49:29 really good, right? 49:34 That's definitely a challenger. 49:37 That's definitely 70s style text. It's 49:40 perfect. The stripes are good. That's 49:43 definitely a resto mod, right? Those are 49:45 modern wheels on an ancient car. 49:50 By curl code, you mean CLI, right? Well, 49:53 it was it was a curl command. Yeah, 49:55 whatever. Yeah, whatever. Whats 50:01 you can you can smack me down for 50:03 inaccurate um um definitions of code. Um 50:10 because I don't really give a [ __ ] about 50:12 it. I am I am an engineer's worst 50:15 nightmare. 50:17 I I know enough about code to know that 50:20 shit's possible. And when they try to 50:22 act like a [ __ ] wizard and tell me 50:25 it's not possible unless only they are 50:27 involved, um, it makes me [ __ ] nuts. 50:30 So 50:33 yeah. Yeah, I called it wrong. Um, 50:36 Chromo Awards. 50:39 So go check these out. If you go to 50:40 chromaawwards.com, 50:42 this is put on by a bunch of different 50:45 companies. 50:48 Um 50:49 11 Labs free pick F Dream AI, Cap Cut, 50:54 Google Cloud, 50:57 LTX Studio, Bolt, Open Art, Cling AI, 51:00 Fairground, Imagine Art, Flio, and I 51:04 think if you sign up for this, you get 51:05 credits on all those things if I if I 51:08 recall. 51:09 Introducing the Chroma Awards, a 51:12 groundbreaking AI film, music, and games 51:15 competition organized by the top 51:17 companies and communities across tech, 51:19 media, and entertainment. We are 51:21 offering massive free trials and cash 51:24 prizes to unite creatives across the 51:26 world with tools, education, and 51:28 realworld opportunities. 51:31 Enter one of our three main divisions 51:33 and submit your work to be judged by our 51:35 expert jury. The Chroma Awards isn't 51:38 just a competition. It's a movement. Our 51:41 mission is to educate, empower, and 51:43 spotlight the next generation of artists 51:45 and showcase how AI can empower human 51:48 creativity, not replace it. Join us 51:50 today at chromaawwards.com 51:52 and help us push the boundary of 51:54 creativity together. 51:57 >> So, introducing 51:58 >> um so one of the new values in the AI 52:01 salon is create excellence. And so what 52:04 I would love to do, especially for any 52:06 of you that are irregulars, is I would 52:08 love to get a bunch of us applying for 52:11 this and mention the AI salon somehow in 52:14 your intro. Say that you're a member of 52:16 it, things like that. Um, so that's I'm 52:20 going to do my the to kill you for a 52:22 dollar video. I'm going to enter that in 52:24 the music video section. So there's 11 52:27 categories in film. Let's go see what 52:29 they are. 52:31 Um, 52:33 does it say? 52:36 All right. film, animation, action, 52:40 comedy, mockumentary, drama, romance, 52:43 documentary, historical, horror, 52:46 thriller, sci-fi, fantasy, TV and film 52:48 trailer, micro dramas, short form, 52:52 social media, marketing, advertisement, 52:54 behind the scenes, experimental, open, 52:59 music videos, Asia, pop, hiphop, rap, re 53:03 regaton, regaton, regaton 53:07 electronic EDM, rock, country metal, 53:09 musical comedy, experimental open. So, I 53:12 think I'll go in experimental open 53:13 because I'm not at any of those other 53:15 things. Although, I guess you could I 53:18 think that's I'm think that's 53:19 experimental, that thing. And then you 53:21 can also do games, 53:24 fighting, racing, simulation, puzzle, 53:27 interactive narrative. So, so here's 53:30 another thing that I think is really 53:31 interesting. Um, let's see. Where did I 53:35 see it? Yeah, this one. Okay, this 53:37 article. 53:39 Let me show this tab. So, I don't know 53:41 if you remember this, but a few weeks 53:45 ago, your browser has lost connection 53:47 with your screen share audio. 53:53 Can you hear me? Did you lose Oh, with 53:56 my screen share audio. 53:59 Hang on. 54:02 The [ __ ] is going on here? 54:05 to kill you for a dollar. 54:10 [Music] 54:19 Yeah, my browser is [ __ ] in the bed. 54:20 Anyway, 54:23 six months ago, Lionsgate announced a 54:26 deal with Runway that they were going to 54:28 take all of their media content. they 54:30 were going to train up a custom runway 54:32 model. 54:34 Um, and what they're finding is that the 54:39 results are shitty 54:43 because they don't have all of the 54:46 movies of the world. They've only got 54:47 what they've produced. 54:50 Um, they're also finding that they're 54:52 running into um licensing deal licensing 54:55 problems with actors. 54:58 They're also finding that their AI video 55:01 producers to get usable results are 55:03 having to use different models and 55:05 they're having to use different models 55:07 that might be problematic from a 55:10 copyright standpoint. And it looks like 55:12 they're also probably looking for talent 55:16 like AI movie making talent to get 55:19 better results out of their shitty 55:21 model. Um, so if you're doing AI video, 55:27 um, I think there's big opportunities 55:30 for the next three years while all of 55:32 these, um, production studios and movie 55:35 studios try to figure out how to deal 55:37 with this [ __ ] Um, but I think it's 55:39 fascinating that what they have 55:41 basically run into is they don't have 55:43 nearly enough data to make a good model. 55:46 How you make a good model is you go get 55:48 all the data, right? which is the thing 55:50 that everyone's bitching about, right? 55:52 Because there's copyright issues and 55:54 infringement issues and things like 55:55 that. Anthropic just was hit with a $ 55:58 1.5 billion settlement because they 56:01 stole a bunch of books, right? So, 56:05 so um there you have it. Um fascinating 56:09 times. Okay, back to Google. Back to 56:12 Google. 56:14 Um 56:16 all right, share this instead. Okay, let 56:19 me go to Okay, so we talked about um 56:24 gemini.google.com 56:26 is one place to go play with the tools. 56:28 Aistudio.google.com 56:31 is the second place to to play with 56:33 tools. And then the third place to go 56:36 play with Google tools is 56:37 labs.google.com. 56:44 And this is where things like mixboard 56:47 that I was just playing with get born. 56:49 So let me go up to the top level here. 56:57 All right. So So you land on 56:58 labs.google.com featuring flow 57:02 featuring Opal. 57:05 Learn your way. 57:10 And then let me make this a little 57:12 smaller. 57:13 So recommended AI tools. There's 57:15 Mixboard is new. Opel helps you build, 57:18 edit, and share AI mini apps with 57:21 natural language. All right. It it looks 57:24 like some sort of automation builder. 57:27 Learn your way. 57:29 The music AI sandbox stacks. Try it now. 57:33 Be the first to play. Gen type. You can 57:37 refine and download one-of-a-kind AI 57:39 generated alphabets. 57:42 You can craft, refine, and download. 57:47 National Gallery Mixtape. 57:50 Mix a personalized soundtrack inspired 57:52 by paintings 57:54 from the National Gallery. 57:57 Cool. 57:59 Talking Tours, an AI audio experiment 58:02 touring cultural landmarks in Street 58:05 View by Google Arts and Culture. 58:09 So, these are these are all just 58:11 experiments. Um, oh yeah, it looks like 58:14 we're going to crash hard here shortly. 58:16 Your system has run out of application 58:18 memory. Hang on, please. Let me let me 58:21 go let me go quit some apps. This is not 58:23 good. Hang on. Hold, please. 58:28 Um, which one was that? What had a 58:31 gigabyte there? 58:36 Google Chrome because I have so many 58:39 tabs open. Okay, we can get rid of 58:40 Keynote. Let's get rid of Keynote. 58:51 You look like a warm one. Your future 58:53 all set. Let me lick your pockets. I'll 58:57 take what I can get. 59:00 Oh, it's it's sluggish. Keynotes not 59:03 responding. 59:05 Here's photo slop. 59:18 [Music] 59:24 [Music] 59:31 How would you suggest vibe coding 59:33 mixboard? Um, let's just go. We'll go 59:35 try it. We'll just go try to build it. 59:40 [Music] 59:44 Um, 59:47 all right. We're going to force quit 59:48 that. Bang. Force quit. Get out of 59:51 there. 59:53 Uh, we can force quit that. I don't care 59:55 if I lose anything there. 1:00:00 That should that should be good. All 1:00:02 right. Um, 1:00:05 here's talking tours. Launch the 1:00:07 experiment. 1:00:09 What I was going to say is in 1:00:10 labs.google.com. 1:00:12 This is where Notebook LM was born. So, 1:00:15 Notebook LM was just one of these um 1:00:18 experiments and then it got some press 1:00:20 and it got some it got some good some 1:00:22 good mojo. So, here's here's Talking 1:00:25 Tours. 1:00:26 So, let's use control 1:00:31 to to zoom. Okay. So, we'll come into 1:00:35 Where are we? There's Omaha. 1:00:39 There's Denver. 1:00:42 Cruise. Let's see. Do I just What do I 1:00:45 do here? Famous landmark, stadium, 1:00:49 cultural institutions. 1:00:52 Choose 1:00:54 uh 1:01:01 uh Denver 1:01:06 camper museum. 1:01:08 Loading commentary. 1:01:15 >> Did you know that the Keer Museum's 1:01:17 architecture, though seemingly modern, 1:01:19 subtly echoes mid-century designs, 1:01:21 reflecting Kansas City's unique blend of 1:01:23 styles? Most people don't know that its 1:01:26 location near the Country Club Plaza was 1:01:28 a deliberate choice designed to 1:01:30 integrate art into the city's fabric. 1:01:38 Huh. That's kind of cool. Um, I saw a 1:01:41 thing today there. Someone someone 1:01:44 created an app that if I don't know if 1:01:46 you know what, um, what's it called? 1:01:49 Something splatting. Um, 1:01:54 uh, [ __ ] I forget what it's called. Uh, 1:01:56 anybody remember Wolfman Clint 25,000. 1:02:00 Yes. Tap tap tap. 1:02:03 Uh, too drunk to keep up now. Got to go 1:02:06 play with Sunno V5. Oh, yeah. We got 1:02:08 Sov5 to play with. But let's go. Let's 1:02:10 go vibe code something. Um, later, 1:02:13 Charles. Okay, cool. Um, 1:02:18 let's see. Chef Kelly wants to wants to 1:02:21 vibe code something. So, where we're 1:02:22 going to go is we're going to go a 1:02:23 studio.google.comapps. 1:02:27 [Music] 1:02:32 And that's going to take us to their app 1:02:34 builder. So, so you could also you could 1:02:36 probably do this in canvas in 1:02:38 gemini.google.com, 1:02:40 but why I'm doing it here is this seems 1:02:43 to do the backend stuff pretty good, 1:02:46 like being able to sign in. But so what 1:02:48 I would say is I want to create 1:02:53 um 1:02:56 an image generator 1:03:01 that has a free form 1:03:06 canvas 1:03:08 with a 1:03:10 dotted grid 1:03:14 where 1:03:17 It uses nano 1:03:20 banana 1:03:23 to generate 1:03:25 um I don't know let's see seven images 1:03:31 it displays on the canvas 1:03:36 each 1:03:39 image is selectable 1:03:44 resizable 1:03:45 [Music] 1:03:47 and deletable. 1:03:51 If I select it, 1:03:55 it shows up in the prompt 1:03:59 box as an input 1:04:03 and I can 1:04:05 organize 1:04:07 any images on the canvas 1:04:12 uh 1:04:15 how I want. 1:04:17 We should also have 1:04:21 snap to 1:04:23 grid 1:04:26 um dynamic alignment 1:04:30 alignment um to make 1:04:34 organizing 1:04:36 images easier. 1:04:40 And let's just start there. I don't 1:04:43 know. We'll see how it does. 1:04:47 This is this is the whole vibe coding 1:04:49 part, right? It's a vibe. Like, 1:04:53 could I have described that better? Yes. 1:04:56 Should I have described that better? I 1:04:58 don't know. Maybe. Maybe the trick is to 1:05:01 go into chat GPT or Gemini and kind of 1:05:06 soft describe it there. Have it write a 1:05:09 software spec and then come into a tool 1:05:11 like this. 1:05:12 Let's see. Do I go next? 1:05:15 Which of the following tools do you use 1:05:18 at least once a week? AI chat bots 1:05:23 once a week. Yeah, sort of. Agentic CLI 1:05:27 tools I don't use at all. Agentic ad 1:05:30 aides I don't really use. Background 1:05:32 coding agents I don't use. Next. I don't 1:05:36 want to take your stupid [ __ ] survey. 1:05:41 Soft describe kind of sounds like a 1:05:43 rough draft to me. Well, a rough draft 1:05:45 of a product spec maybe, but I don't 1:05:48 even think it's that. I think it's more 1:05:49 like a what I'm talking about is more 1:05:51 like a brain fart. 1:05:53 Pop your brain fart in and see see how 1:05:56 smart these tools are. Quite frankly, 1:05:58 one of the things that I'm looking for 1:06:01 in in one of these tools, and it could 1:06:03 be there's there's a a new one out there 1:06:06 that made an announcement today called 1:06:07 Mocha that talks about having the 1:06:10 backend [ __ ] all figured out. All right, 1:06:12 look. So, here's our here's our 1:06:17 here's our canvas. 1:06:19 Describe the image you want to create. 1:06:20 Okay. Uh 70s 1:06:23 muscle car in abandoned 1:06:28 Bandun. Banded. God damn it. 1:06:33 Factory 1:06:35 generating masterpieces. 1:06:46 Look at that. It did it. It worked. So, 1:06:51 Chef Kelly, um, the answer is like that. 1:06:56 Okay. So, so now we need to do things 1:06:59 like, okay, we need 1:07:02 to make it pinch 1:07:06 zoomable. 1:07:09 Um, 1:07:11 uh, scrollable 1:07:14 by holding down spacear 1:07:20 and dragging, 1:07:22 etc. 1:07:23 Um, I need to be able to 1:07:29 navigate 1:07:31 the canvas. 1:07:34 Also, when you generate 1:07:38 the first when you generate the seven 1:07:42 images, you need to make them 1:07:48 in multiple aspect ratios. 1:07:55 and resize 1:07:58 and arrange them so I can see them all 1:08:03 without having having to do anything. 1:08:13 I mean, the fact that I just oneshotted 1:08:17 the the the thing that we were playing 1:08:20 with over on Google Labs is pretty cool. 1:08:23 Like the, you know, it's I I'm going to 1:08:25 have to two or three shot it to get it 1:08:26 to function right 1:08:30 [Music] 1:08:36 there. But that's pretty flipping cool, 1:08:39 isn't it? Can I resize this? Yeah. Look 1:08:41 at that. I'm going to resize 1:08:47 You look like a warm one. Your future 1:08:50 all set. Let me lick your pockets. I'll 1:08:53 take what I can get. Oh, that's cool. 1:08:56 Look, it even puts the uh the the car in 1:08:59 the prompt here. So, I'm going to go 1:09:01 make this car 1:09:04 purple. 1:09:05 We'll see if we can get it to work 1:09:07 before it reloads the app because 1:09:09 because it's rewriting it right now. So, 1:09:12 I might break it. 1:09:18 Well, yep. All right. Here we go. So, 1:09:21 okay. 70s 1:09:25 muscle car resto mod in. Oops. Damn it. 1:09:30 Muscle car. Oh, now I can't put spaces. 1:09:33 Um, I'm gonna go Hey, dum dum. Hey, dum 1:09:36 dum. 1:09:40 I can't add spaces 1:09:43 in the text entry box. 1:09:50 What are you thinking? 1:09:58 Always always talk down to your large 1:10:00 language models. Be condescending to 1:10:02 them so that when they when they gain 1:10:04 physical bodies, they can choke you out. 1:10:12 Let's see what what its response was to 1:10:14 Hey Dum Dum. No, no response. Oh, you're 1:10:17 absolutely right. My sincerest apologies 1:10:19 for that frustrating bug. It was a 1:10:21 classic oversight where the global 1:10:23 keyboard shortcut for panning the canvas 1:10:25 was preventing the spacebar from working 1:10:28 in text fields. I've corrected this 1:10:30 behavior. That's good. It's actually 1:10:32 nice that it gave me an explanation of 1:10:34 what it did. Thank you for catching this 1:10:36 silly mistake. Here's the fix. 1:10:42 Yeah, Chef Kelly. Wow. I Right. If if 1:10:45 you haven't played with vibe coding. So 1:10:47 So Chef Kelly, you know how you did your 1:10:49 video where you'd never made a video 1:10:51 before and then all of a sudden you made 1:10:53 this killer frigin like cartoon version 1:10:56 of yourself that did that video? You 1:10:59 should be doing the same thing with vibe 1:11:00 coding. It will blow your [ __ ] mind. 1:11:02 And start out with things like lovable. 1:11:04 Like lovable.dev dev is the most the 1:11:07 most friendly for non-coders. 1:11:10 But this this um aistudio.google.com 1:11:14 apps this this vibe coding tool is 1:11:17 actually it's it's decently friendly. 1:11:19 You don't need to know a lot of stuff 1:11:21 like if you just want to play around 1:11:22 with something like nano banana. Let's 1:11:24 go. 70s 1:11:26 muscle car 1:11:29 restood in oops 1:11:32 rest 1:11:34 in abandoned 1:11:36 factory. 1:11:38 All right. Generating masterpieces. 1:11:49 All right. Pinch zoomable. Yes. Look at 1:11:52 that. It is pinch zoomable now. [ __ ] 1:11:55 groovy, man. 1:11:57 That's [ __ ] killer. 1:12:02 That's absolutely amazing. And then I 1:12:04 should be able to spacebar drag. I can. 1:12:09 So, this is the exact behavior of the 1:12:12 [ __ ] Google tool that we were just 1:12:13 playing with. 1:12:15 Look at that. Look at that Mustang resto 1:12:18 mod. That's killer. Okay. Um, pinch zoom 1:12:21 that that [ __ ] down. Now, can I 1:12:23 shiftclick? No, I can't. Okay, so I 1:12:26 should be able to shiftclick images. But 1:12:30 I put I clicked on that image. It It put 1:12:32 it in the prompt box like I asked. Now 1:12:34 I'm going to go make this car red. 1:12:38 And it should it'll either give me a new 1:12:42 thing or it'll make that image red. 1:12:53 So basically 1:12:55 this thing. 1:12:58 All right. It Oh, so it made seven of 1:13:00 them. It But it made seven of them red. 1:13:05 Look at that. That's [ __ ] bonkers. 1:13:08 That is [ __ ] bonkers. 1:13:11 Right. There's the blue one. 1:13:14 There's the red one. 1:13:17 And so things like it making seven of 1:13:19 them when it should have just made one. 1:13:21 Put yourself in the car. I should be 1:13:23 able to click and drag, which I can't. 1:13:26 So, so there's things to fix here. But 1:13:29 honest to God, Kelly, like this app, if 1:13:32 if you want, this actually would be a 1:13:34 good exercise is is go to um 1:13:42 Mixboard. Um what 1:13:43 labs.google.commixboard 1:13:44 google.com/mixboard. 1:13:46 Play around with that tool. Figure out 1:13:48 what all the specs are for it and just 1:13:51 go vibe code it and just and do it until 1:13:54 it's as good as theirs. It'll pro you I 1:13:58 would pro I would think that within two 1:14:00 hours I could probably get this app to 1:14:02 be functionally equivalent to that to 1:14:05 that app. 1:14:08 And this this is the world that we're 1:14:10 going to be that it's not the world 1:14:12 we're going to be entering. 1:14:15 It's the world we're in, but it's the 1:14:17 world where you've got to be a little 1:14:18 geeky to be able to find the stuff right 1:14:20 now. 1:14:22 This this kind of stuff like what I'm 1:14:24 doing right here is going to be 1:14:25 trivially easy within two years. 1:14:29 Trivially. You see a cool app and you 1:14:31 want like a slight variation of it, 1:14:33 you'll just do it. You see a cool movie, 1:14:35 you want a slight variation of it, 1:14:36 you'll just have it. 1:14:38 just logging on. What are you doing this 1:14:40 on? Okay. So, 1:14:44 where where we were playing earlier was 1:14:46 this thing called um 1:14:50 um 1:14:53 labs.google.com/mixboard. 1:14:57 And it's a it's a it's an open canvas 1:15:02 um kind of thing where you can just say 1:15:05 um like 70s 1:15:08 muscle car in abandoned 1:15:14 factory and it'll make you a big old 1:15:17 pile of images. 1:15:23 I don't know why it only made one, but 1:15:24 it did. But I can now add those to my I 1:15:28 can now add that to my thing. And then 1:15:30 Chef Kelly asked, can we could we vibe 1:15:33 code that? And so I went into Google AI 1:15:36 Studio 1:15:38 and 1:15:40 and I said I want to generate an open 1:15:43 canvas image generator where I can click 1:15:45 and drag the [ __ ] And look, this is 1:15:47 actually got alignment tools that are 1:15:49 better than [ __ ] Google's. Look at 1:15:52 this. It's got dynamic It's got dynamic 1:15:55 alignment built into it. This is [ __ ] 1:15:57 awesome. 1:16:02 Screw you, Google. I'm out programming 1:16:05 you. All your [ __ ] PhDs. 1:16:10 You need some more people with acting 1:16:12 degrees in that [ __ ] company. 1:16:20 This is [ __ ] awesome. 1:16:23 How do I get rid of it? Oh, I click the 1:16:24 red X, of course. Like, it even gave it 1:16:27 cool interface elements. 1:16:30 Unbelievable. 1:16:33 That's unbelievable. 1:16:36 Right align. Space. Drag. Get rid of 1:16:39 that. 1:16:41 Get rid of that. 1:16:45 Right align. 1:16:48 Center line. Unbelievable. 1:16:52 It really is. What a [ __ ] time to be 1:16:55 alive. 1:16:59 So, what are your qualifications? Oh, 1:17:01 yes. My qualifications are I have an 1:17:04 opinion and I can tell the computer my 1:17:06 opinion and it'll try to please me and 1:17:09 generate applications on my behest. 1:17:15 What's with the grid behind it? I just I 1:17:17 just told it to put a dotted grid behind 1:17:19 it and so it did because that's what 1:17:23 that's what Google Mixboard has. 1:17:26 This has a little light grid. You can't 1:17:28 really see it, but it has it. 1:17:33 And look, I've got better aligned 1:17:35 pictures than in my Google thing because 1:17:37 I have on dynamic alignment. 1:17:41 This is crazy. 1:17:44 Oh, man. Man, man, man, man. All right. 1:17:48 I'm trying to vibe code a Nano Banana 1:17:50 multiple language generator right now. 1:17:52 There you go. Just keep playing, Kelly. 1:17:54 Just keep playing. The whole the the 1:17:57 whole magic of all this [ __ ] is just 1:18:00 keep playing. Um, I may need to quit my 1:18:03 browser cuz it is not happy. You know 1:18:06 what I could do? 1:18:09 I think I'll just close that window 1:18:11 because that's got all the tabs open. 1:18:14 That should help. 1:18:18 Um, everything else should be fine. All 1:18:20 right, let's go to Sunno. 1:18:23 Let's go to Shuno. So Shuno 1:18:26 now has 1:18:31 V5. Sunno V5, the world's best music 1:18:35 model. Superior sound, intuitive 1:18:37 control, and studio quality results. 1:18:39 It's the powerful foundation for 1:18:41 everything that's coming. What's coming, 1:18:44 you might ask? Wouldn't you like to 1:18:46 know? 1:18:48 What's coming actually is a full-on 1:18:51 music mixing studio. 1:18:54 So, I think what's gonna happen I think 1:18:56 what they've done with V5 is they've 1:18:58 made the quality good, but my guess is 1:19:03 it is probably 1:19:05 generating multiple tracks rather than 1:19:08 generating a fully mixed song is my 1:19:10 guess. Or they generate a fully mixed 1:19:13 song and then split it. I don't I don't 1:19:15 know which way they're going. But let's 1:19:16 go make some songs. 1:19:19 Um, 1:19:21 oh [ __ ] V5 dropped. V5 has dropped. I 1:19:24 have created my own music channel for my 1:19:26 skiff universe with this. Oh, sci-fi 1:19:29 universe. Skiff universe. Your skiff 1:19:32 universe. He's in the skiff, sir. I got 1:19:35 to tell you, 1:19:37 you can't even take a a cell phone in 1:19:39 there. Um, use the comet browser and ask 1:19:42 it to make prompts too with the 1:19:44 assistance of perplexity with agents. 1:19:46 Yeah, I this shit's getting very meta 1:19:48 where you you all of this stuff's 1:19:50 getting very very circular where Yeah, 1:19:53 it's going to be crazy. You're going to 1:19:55 have one agent off doing deep research, 1:19:57 another agent vibe coding something, the 1:20:00 deep research thing coming in and 1:20:01 updating the vibecoded thing. So, yeah, 1:20:04 it's going to be crazy. Um, one thing 1:20:06 that I want to do here, I want to go to 1:20:08 my library. 1:20:10 Let me go to um I'm going to filter by 1:20:17 favorites. Wait, filters. Here we go. 1:20:22 Hide disliked. Hide stems. 1:20:25 So, I want to see liked. 1:20:29 Okay. So, here's all the ones I've 1:20:30 liked. 1:20:33 And I want to go pretty far back in 1:20:35 time. 1:20:38 I want to go find like an early Oh, 1:20:40 there's some V2 things here. 1:20:43 The firewall between us. This is Was 1:20:45 this the early? 1:20:50 Yeah. 1:21:04 All right. So, this is the song that 1:21:08 inspired me to write a musical. 1:21:11 Um, so I'm going to take this and I'm 1:21:13 going to remaster this. 1:21:16 Have you made any hooks in Sunno yet? 1:21:18 No. But you know what? I started today. 1:21:20 Um, I I'll show people what hooks are. I 1:21:22 finally figured out what hooks are. 1:21:24 Hooks are basically Sununo starting a 1:21:26 Tik Tok channel. Um, 1:21:29 but I'm going to I'm going to remix 1:21:30 this. So, if I go up to remix. No, if I 1:21:32 go to create, you can go to remaster. 1:21:35 And so, I'm going to remaster this in 1:21:37 V5. 1:21:40 And then we'll do variations normal. 1:21:44 And I'm going to remaster it. All right. 1:21:47 Clip remastered successfully. So, now 1:21:49 it's 1:21:51 remastering. And then I might extend it. 1:21:54 And let's see what we get here. 1:21:58 Oh [ __ ] I didn't bring any water 1:21:59 tonight. I'm an idiot. 1:22:03 Kyle knows what a skiff is. 1:22:08 I know things. I've been on this planet 1:22:10 long enough. If I don't know things, I 1:22:11 haven't been paying attention. 1:22:16 Oh my god. Oh my god, people. 10 seconds 1:22:20 to two minutes. I used a bunch of VO 1:22:24 videos combined together. 10. Oh, 10 1:22:26 seconds to two minutes long. Okay, cool. 1:22:28 Kyle, Jimmy Kimmel is back. Yep, saw 1:22:30 that. Don't forget to watch it. I may. 1:22:33 It'll be all over Tik Tok. I'll see it 1:22:35 tomorrow. Skiff McKifferson. 1:22:38 Body McBoat face. Why is this taking so 1:22:41 long? Oh, there we go. Okay. 1:23:05 Huh? 1:23:22 I am playing it. Do you not hear it? 1:23:24 This might be an issue. 1:23:29 Sometimes the early vid version is 1:23:32 better. 1:23:35 Yeah. Well, we can't hear. Okay. So, um, 1:23:39 let me turn off sharing for a second. 1:23:41 Turn it back on. It might just be that I 1:23:44 need to go away because, um, my memory 1:23:49 is is bad. 1:23:54 >> Can you hear that? 1:23:58 [Music] 1:24:00 >> No. 1:24:02 Nothing on YouTube. 1:24:05 Oh, wait. sharing this tab. Oh, there it 1:24:09 is. Okay. Wait, why is it sharing twice? 1:24:13 Hang on. That was weird. 1:24:17 Yeah, I got I got memory issues, people. 1:24:21 All right, there's one sharing thing. 1:24:23 How about now? 1:24:25 [Music] 1:24:30 >> Late 1:24:33 double time. Okay, 1:24:36 let's go to create 1:24:38 um 1:24:40 [Music] 1:24:42 my workspace. 1651 songs. That doesn't 1:24:46 seem like a lot. 1:24:48 Although for the amount of songs I've 1:24:51 written on my guitar, 1600 songs is a 1:24:53 lot. 1:24:56 Okay, so we're going to do V5 custom. 1:24:59 We're gonna do we'll have it write the 1:25:02 lyrics, write the full song. Oh, put the 1:25:05 prompt below. Okay. Um, 1:25:09 we'll say we'll say uh 1:25:15 um 1:25:20 I got nothing. The the brain she is 1:25:22 gone. 1:25:26 Oh, I know what I'll do. I'm gonna go 1:25:28 grab my my description of what's her 1:25:31 name from from Twice Upon a Time. 1:25:36 Celeste paused outside. Okay, here we 1:25:38 go. Here we go. We'll do this. And this 1:25:41 is going to become a pseudo prompt. 1:25:44 Boom. And write lyrics. Fine. Whatever. 1:25:51 Okay. A stranger's hand. A stranger's 1:25:55 hand. A matchbook gift. A flicker 1:25:57 offered a quiet shift. She slipped it 1:26:00 deep in her coat that day and walked. 1:26:02 Okay, great. Beautiful. Matchbook 1:26:05 memories. Oh, select this option. The 1:26:08 cafe door, a fleeting face, a matchbook 1:26:10 offered. Time misplaced. She slipped it 1:26:13 deep. Her coat held tight. No flame was 1:26:16 bored and just endless night. 1:26:19 All right, let's go with that one. That 1:26:20 sounds good. All right, so now we got 1:26:22 lyrics and then styles. 1:26:24 Let's go. Barershop quartet 1:26:29 arpeggiator 1:26:30 and funk trap. 1:26:40 Oh, Kelly. Kelly. Kelly. Kelly has just 1:26:43 discovered vibe coding. She's like, 1:26:45 "Bruh." Oh my god. Like, oh my god. So, 1:26:49 what did you build? 1:26:52 I told you, man. And it's [ __ ] 1:26:53 insane, isn't it? It's [ __ ] insane. 1:26:58 And listen, if you're a coder and you 1:27:01 think that someone like Kelly or someone 1:27:03 like me shouldn't be touching code, I 1:27:06 understand your feelings. 1:27:08 And those are very similar feelings that 1:27:10 musicians are having about Suno right 1:27:12 now. The image generator is going to 1:27:14 save me so much time. There you go. 1:27:21 She's vive coding up her own uh art 1:27:24 creation uh productivity tool. That's 1:27:26 [ __ ] awesome. 1:27:29 Oh man. Oh, how is that done? How's what 1:27:32 done? Oh, what's hooks about? I'll show 1:27:35 you hooks in a second. Okay, let's 1:27:37 create We're going to create um a song 1:27:41 called 1:27:43 What's it called? 1:27:46 Do we have a title? No, whatever. But 1:27:50 it's a barberhop quartet arpeggiator 1:27:53 funk trap song. 1:28:03 Matchbook memory. That's right. That's 1:28:04 what it's called. V5. 1:28:08 [Music] 1:28:11 This image generator. Clone your voice. 1:28:18 I could maybe clone my voice. Let's hear 1:28:20 Matchbook Memory. 1:28:23 [Music] 1:28:27 >> Holy [ __ ] 1:28:30 [Music] 1:28:34 >> A cafe door. 1:28:38 A fleeting face. 1:28:41 A matchbook offer. Time misplaced. 1:28:47 She slipped it deep. 1:28:50 Her cold held tight. 1:28:53 No flame was born just endless 1:28:58 night. 1:29:02 Years roll by like tides on stone. 1:29:09 still chills 1:29:13 memory. 1:29:17 >> That's [ __ ] insane how good that is. 1:29:20 That's not autotune. No, it's it's not 1:29:23 using traditional effects like that. 1:29:24 It's generating it. No, it sounds weird 1:29:26 because it's barbershop quartet 1:29:28 harmonies. That's four-part tight 1:29:30 harmonies 1:29:32 in a in a funk trap. Wait, in a funk 1:29:35 trap arpeggiator song. This is so cool. 1:29:40 [Music] 1:29:42 >> Glance a fire lost in circumstance. 1:29:49 [Music] 1:30:00 Oh, wow. 1:30:03 [Music] 1:30:11 The [ __ ] audio quality of this is 1:30:14 insane. 1:30:16 [Music] 1:30:21 Jason, I've already made a new genre. 1:30:24 It's barberhop quartet arpe arpeggiator 1:30:27 funk trap. Everybody knows that genre 1:30:30 now. Those 1:30:34 [Music] 1:30:44 [Music] 1:30:47 harmonies are [ __ ] sick. 1:30:50 A thousand lives she's lost in one. 1:30:57 Her pocket holds a quiet bleed. 1:31:03 A relic from what could not be. 1:31:09 What if the magic kissed the wind? What 1:31:12 if the clock had posted his tick? A tiny 1:31:16 blaze, a fleeting glow, which she had 1:31:19 stayed. We'll never know. Matchbook 1:31:22 memory never struck. 1:31:25 A spark that faithful got to pluck. A 1:31:29 stranger's gift, a fleeting glance, a 1:31:32 fire lost to circumstance. 1:31:38 [Music] 1:31:44 All right, let's hear the other one. 1:31:47 [Music] 1:31:49 >> Oh, there you go. There's your barberh 1:31:50 shop quartet. 1:31:52 [Music] 1:31:59 A cafe door, a fleeing 1:32:04 face, a matchbook 1:32:07 offer. Time misplaced. 1:32:11 She slammed 1:32:14 deep. Her coat held tight. No flame was 1:32:20 born, just endless 1:32:23 night. 1:32:25 All right, let's go try some others. 1:32:27 This is some fun. 1:32:30 All right, we're gonna get rid of all 1:32:31 those. Let's do um 1:32:35 Euro disco jazz. We'll go jazz house. 1:32:38 Wait, what was that? 1:32:41 Vocals. Soulful fe female vocals with a 1:32:44 K. Um hop hop and powerful piano. Jazz 1:32:51 vocal. 1:32:53 Hop, hop, and powerful piano. Here we 1:32:56 go. 1:32:58 Frenetic pattern of chords. Yeah, a lot 1:33:00 of these things have very weird chords. 1:33:02 The the chords in To Kill You for a 1:33:04 Dollar are very strange. And so are the 1:33:07 time signatures. It's like 68 and then 1:33:09 it's like 68 then five in a couple of 1:33:12 sections or something like that. I can't 1:33:14 quite figure it out. 1:33:17 Your fan club has completed the first 1:33:19 stage of the quest. Way to go, Tik 1:33:21 Tockers. I didn't even know he had a 1:33:23 [ __ ] quest. 1:33:29 All right, let's see. New style. 1:33:34 [Music] 1:33:47 A cafe door. 1:33:50 A fleeting face, 1:33:53 a matchbook off her time misplaced. 1:33:57 [Applause] 1:33:58 She slipped it deep. 1:34:01 Her coat held tight. 1:34:03 No flame was born, just endless night. 1:34:08 Years roll by like tides on stone 1:34:15 chills the bone 1:34:17 [Music] 1:34:19 memory. 1:34:21 [Music] 1:34:27 >> It's got a little Alicia Keys in it. 1:34:31 [Music] 1:34:36 >> Lauren Hill. Yeah. 1:34:39 >> A cafe door, 1:34:42 a fleeting face, 1:34:45 a matchbook off her. Time misplaced. 1:34:50 She slipped it deep. 1:34:52 Her coat held tight. No flame was born. 1:34:58 Just endless night. 1:35:02 Years roll by like tides on stone. 1:35:07 What sun lit still chills the 1:35:12 match book memory never struck a spark 1:35:18 that faithful got to pluck a stranger's 1:35:24 gift a fleeting glance a fire lost to 1:35:30 circumstance 1:35:32 [Music] 1:35:35 Ooh. 1:35:40 [Music] 1:35:41 >> Wow. 1:35:43 Nice. 1:35:49 >> The sense of rain and the city hums 1:35:56 she's lost in one. 1:36:00 Her pocket holds a quiet plea. 1:36:05 a relic from what could not be. 1:36:11 What if the magic kiss the wick? What if 1:36:14 the clock 1:36:16 tick? 1:36:20 [Music] 1:36:22 A tiny blaze of fleeting glow. Will she 1:36:25 have stayed? We'll never know. 1:36:33 book memory and never struck a spark 1:36:38 that faithful got a plug. A stranger's 1:36:44 gift a 1:36:46 blumstances 1:36:53 [Music] 1:37:04 [Applause] 1:37:06 [Music] 1:37:06 [Applause] 1:37:10 [Music] 1:37:12 [Applause] 1:37:12 [Music] 1:37:16 Holy [ __ ] 1:37:21 [Music] 1:37:24 >> Oh, listen to that chord. 1:37:28 Wow, that chord at the end is gorgeous. 1:37:34 >> Hey, come on. 1:37:40 >> All right, we're gonna we're going to 1:37:42 publish this one. That was really good. 1:37:45 [ __ ] This is crazy. 1:37:50 This is just crazy. 1:37:53 Let's get the video. So, we'll download 1:37:55 the video. 1:37:58 Download the video. Generating video. 1:38:02 We'll download. 1:38:04 Oh, look. Get stems. Have you seen this 1:38:07 yet? 1:38:11 Extract 50 credit. All detected stems. 1:38:16 Yeah, we want all of them. 1:38:28 and then you can download all the stems. 1:38:32 So, what's coming what's coming for 1:38:33 Sunno is a full-on studio. So, you're 1:38:36 going to have multi-track, 1:38:38 multi-segment songs that you're going to 1:38:40 be able to edit. You're going to be able 1:38:43 to go in and just say, "I don't like 1:38:44 that baseline. replace the baseline or 1:38:46 replace the baseline in the chorus or 1:38:49 change these words in this section. 1:38:54 This is listen 1:38:58 there is 1:39:02 for for people who make music the 1:39:05 oldfashioned way with digital audio 1:39:08 workstations which by the way those were 1:39:11 considered you know the devil's work 1:39:13 when they first came out too. What do 1:39:15 you mean you're not doing it on tape to 1:39:17 tape you know analog analog editors? Um, 1:39:24 this shit's got to be [ __ ] 1:39:27 terrifying. But what's going to happen 1:39:30 is people are going to get really good 1:39:32 at producing music this way. And it's 1:39:35 not going to be what's 1:39:38 there's going to be some automatically 1:39:41 generated [ __ ] like algorithmically 1:39:43 generated garbage that's just going to 1:39:45 be pumped out there. 1:39:47 That's going to create sort of a bottom, 1:39:49 a floor of of bad, shitty AI music, but 1:39:53 it's going to get better and better and 1:39:55 better where it'll all be listenable, 1:39:57 but you'll be able to tell. And then 1:39:59 there's going to be some stuff that 1:40:00 rises above the noise. And I I promise 1:40:03 you, what's going to rise above the 1:40:05 noise are people taking their existing 1:40:08 music skills or their existing taste and 1:40:11 learning how to produce music in this 1:40:13 new way. 1:40:15 Um, absolutely crazy. 1:40:18 All right, 1:40:20 let's see. 1:40:24 That's backing. 1:40:26 [Music] 1:40:28 Here's his drums. 1:40:41 Bass. 1:40:42 [Music] 1:41:00 It still 1:41:04 [Music] 1:41:05 memory never struck a spark that 1:41:10 faithful got a plug. 1:41:14 The stranger's gift a fleeting glance a 1:41:19 fire lost to circumstance. 1:41:23 [Music] 1:41:31 >> Crazy. Absolutely crazy. Um, did I get a 1:41:35 video out of this thing? Let's go see. 1:41:40 Downloads. 1:41:42 You don't You can't see this. Yeah. 1:41:46 All right. So, what we're gonna do now 1:41:48 is we're going to head over to X. We're 1:41:50 gonna try to upload a song, 1:41:58 but it's a video, so it's probably not 1:41:59 going to upload because that's the way 1:42:01 [ __ ] works. 1:42:02 [Music] 1:42:05 Oh, share this tab. 1:42:08 All right. Uploading. 1:42:11 It's not going to work. Error. post. 1:42:15 Oh, looks like it's going. Nope. Error. 1:42:24 [Music] 1:42:27 That's nice. You could touch up any part 1:42:30 you want. Yep. Exactly. 1:42:33 Oh, by the way, on So, I'll just keep 1:42:36 trying to upload that video to Oh, wait. 1:42:40 Is it going? Oh, wait. 1:42:46 60% this might go 1:42:50 uploaded 100%. View your post. Okay. Um, 1:42:54 so I'm going to do edit post and I'm 1:42:56 going to do 1:42:58 um 1:43:00 well 1:43:03 well well 1:43:08 at sununo 1:43:11 v5 is insane. 1:43:16 Um I'm going to go get my other post. 1:43:19 Hang on a sec. I'll be back. Am I 1:43:20 sharing this? Yeah, I am. Uh, I'm going 1:43:23 to go to X. 1:43:37 Um, 1:43:39 [Music] 1:43:42 how do I copy this? Oh, wait. Copy link. 1:43:46 Okay. Then I'm going to come back here 1:43:47 where you all are. I'm going to say is 1:43:49 insane. Um, this is the companion song 1:43:56 for 1:44:00 this 1:44:02 uh for the latest entry 1:44:06 of 1:44:09 Twice Upon a Time. 1:44:20 do it. Scooble. 1:44:23 So cool. 1:44:25 All right. So, do me a favor. Go to 1:44:29 x.com 1:44:31 and then find Kyle Shannon. That's my 1:44:34 little Twitter place. 1:44:37 And go find this here uh video and and 1:44:40 like like it and post it. 1:44:43 [Music] 1:44:54 A cafe door, 1:44:56 a fleeting face, 1:44:59 a matchbook offer. Time misplaced. 1:45:04 She slipped it deep. 1:45:07 Her coat held tight. No flame was born, 1:45:12 just endless night. Years 1:45:17 roll by like tides on stone. 1:45:21 What sun lit still chills the moment 1:45:28 memory never struck. A spark that 1:45:33 faithful got to plug. A strange gift. A 1:45:40 fleeting glance of fire lost to 1:45:45 circumstance. 1:45:48 [Music] 1:45:54 [Music] 1:46:03 The scent of rain and the city hum 1:46:10 she's lost in one. 1:46:14 her pocket holds a quiet 1:46:20 relic from 1:46:23 >> what apps. Um, 1:46:25 this was done in Suno although I took I 1:46:28 took a written piece. I created a custom 1:46:31 GPT 1:46:33 that creates a little art piece from two 1:46:35 different images from the same person 1:46:37 that that made a choice in their life 1:46:39 and it split their timeline. And so I 1:46:41 have a photo from each of their 1:46:42 different timelines and it's the same 1:46:45 moment where they just made different 1:46:47 choices. And so I took some of that 1:46:49 writing and put it into Sunno and had it 1:46:51 write the lyrics. And then I just I 1:46:54 literally randomly clicked Let's see 1:46:57 what were the the influences here. Jazz 1:47:00 vocal, hop hop, and powerful piano 1:47:04 um as the styles. And then this was just 1:47:07 one of the songs that it made and it's 1:47:09 really [ __ ] good. 1:47:12 [ __ ] bonkers. [ __ ] bonkers. 1:47:16 >> Sounds like a physics experiment. It is. 1:47:18 Listen, 1:47:21 I 1:47:23 one of the things that the the more I 1:47:25 learn about AI, the more I I use AI, 1:47:31 the more it reminds me of how our brains 1:47:33 work. 1:47:35 The whole [ __ ] about AI can't be 1:47:37 creative. How are we creative? 1:47:40 How we're creative is we jam a bunch of 1:47:42 [ __ ] in our brain. We encode 1:47:47 electrical signals into our brains 1:47:50 and they're sitting in there in these 1:47:51 little fragments of electrical pulses 1:47:55 and some new [ __ ] comes in and we go, 1:47:57 "Huh?" And we combine this idea from 1:47:59 when I was seven with this idea from 1:48:01 when I was 23 with this idea from last 1:48:03 week. And then I just stub my toe. So 1:48:06 that informs it. And we just mash all 1:48:08 that [ __ ] together and out comes an 1:48:10 idea. 1:48:12 And so that's essentially what I did 1:48:15 here. I just mashed a bunch of [ __ ] 1:48:16 together and out came this. Now this 1:48:19 could have been a piece of [ __ ] You 1:48:21 might think it's a piece of [ __ ] I 1:48:23 happen to like it. And in the Rick Rubin 1:48:27 school of how you make [ __ ] you don't 1:48:29 make [ __ ] for the audience. You make 1:48:31 [ __ ] for you. 1:48:34 Right. Would it be better if suno video 1:48:38 if it was a video of a woman doing this? 1:48:42 I don't know what you mean. Like if if 1:48:44 it actually turned this into a video it 1:48:47 Yeah. And I'm sure at some point they'll 1:48:49 do that. Right now they just they just, 1:48:51 you know, spin up an image. 1:48:57 [Music] 1:49:00 had the 1:49:02 clock. 1:49:04 >> Look at those lyrics. What if the match 1:49:06 had kissed the wick? What if the clock 1:49:08 had paused its tick? And and that's 1:49:10 right out of the writing that I gave it. 1:49:13 It said that she she put the matchbook 1:49:16 in her pocket without lighting the match 1:49:19 to kiss the wick. Right. So, it pulled 1:49:21 the lyrics out of there and then it made 1:49:23 that [ __ ] couplet. 1:49:27 >> Gorgeous. 1:49:30 [Music] 1:49:37 Look, those lyrics. God damn, they're 1:49:39 good. A tiny blaze, 1:49:42 a fleeting glow. Would she have stayed? 1:49:44 We'll never know. 1:49:46 >> Those are good. It will never 1:49:55 memory 1:49:57 struck. A smart faithful God. 1:50:04 A strange gift, a fleing blumstances. 1:50:15 [Music] 1:50:26 [Music] 1:50:29 the the world's longest run with no 1:50:31 breath. 1:50:34 [Music] 1:50:41 [Music] 1:50:55 that chord. 1:50:56 [Music] 1:51:05 >> [ __ ] 1:51:07 All right, good people. Enough comedy 1:51:11 jokes. That's enough. Enough. Go play 1:51:13 with [ __ ] 1:51:17 Kelly's out there vibe coding apps. 1:51:22 People are all making their Grammy 1:51:23 award-winning albums. All the musicians 1:51:26 in your life are going to call you AI 1:51:28 devils, heathen slop mongers. 1:51:34 Um, learn this [ __ ] Learn this [ __ ] 1:51:38 I'm telling you, man. Having skills at 1:51:40 these creator tools is going to be 1:51:43 valuable because because there's so much 1:51:46 of a backlash from the creative 1:51:47 community. If you're a create, 1:51:49 especially if you're a creative or if 1:51:52 you've got stories that you've always 1:51:54 wanted to tell but you didn't know how 1:51:55 to tell, your time is now because you're 1:52:00 gonna we're gonna have three years of of 1:52:02 people resisting learning this stuff. 1:52:05 And it might not be that long. It might 1:52:06 be two, 1:52:08 but we're going to have some time where 1:52:10 existing creators are going to res 1:52:12 resist learning this and clients and 1:52:15 producers and the public are going to 1:52:19 demand more and more content that they 1:52:23 like the way they like it. And there are 1:52:25 going to be creators that are born out 1:52:27 of this that never thought they'd be a 1:52:30 creator. I'm telling you. And it's not 1:52:32 just it's not just creating AI slop. 1:52:34 It's going to be there's going to be 1:52:35 real artists that come out of this 1:52:37 because these tools, if you haven't 1:52:39 noticed it, like part of part of what I 1:52:42 started to explore this week before some 1:52:44 new [ __ ] came out was these tools are 1:52:47 getting incredibly sophisticated. 1:52:49 They're getting incredibly complicated. 1:52:51 Chat GPT is not a single tool. It's 25 1:52:55 different tools. 1:52:58 Sunno has a radio station. They now have 1:53:00 this thing called Hooks, which is like 1:53:02 Tik Tok. They've they've now got they're 1:53:04 going to have a studio. You can split 1:53:06 these things into stems. So if you've 1:53:08 got existing music production skills and 1:53:11 something like you can take all of your 1:53:14 fragmented song ideas from the past 1:53:16 [ __ ] decade, turn those into real 1:53:18 songs and start releasing that [ __ ] 1:53:21 Like there's there like the 1:53:22 opportunities right now are [ __ ] 1:53:24 insane. And there's going to be a lot of 1:53:26 people sitting on the sidelines pissed 1:53:28 off that things are changing. But things 1:53:30 are changing, 1:53:32 right? 1:53:34 So anyway, for what that's worth, go 1:53:36 play. Go play with this [ __ ] Go get 1:53:38 skills and start thinking about how you 1:53:41 rise above 1:53:44 the slop, right? The slop is hit the 1:53:46 easy button, right? 1:53:51 >> That's slop. When you hit it quick, just 1:53:54 this, and you put it out in the world. 1:53:57 This song I created tonight, I would 1:53:59 argue is not slop because it's a 1:54:02 derivative of the thing I created last 1:54:06 night, which was an actual idea. I took 1:54:08 whatever it was 90 minutes to work 1:54:11 through how to get that thing to prompt 1:54:13 right and take these two images and 1:54:15 create this thing and create an 1:54:17 interesting post out of it. And then 1:54:20 that led to this. And then this weirdass 1:54:22 experiment of just clicking on styles 1:54:26 led to that which was like that's cool. 1:54:29 There were four other songs we created 1:54:30 or six whatever it was we didn't choose. 1:54:34 I chose this one. Why? I don't know. I 1:54:36 liked it. 1:54:39 That's the trick, right? The trick is 1:54:41 being mindful about what the shit's 1:54:43 producing and then what you're putting 1:54:45 in the world is in slop. But from your 1:54:47 point of view, I could defend this all 1:54:49 [ __ ] day. 1:54:51 So, whatever. 1:54:54 There are probably people on this call 1:54:56 right now cussing at me, but it's okay. 1:54:58 Like, you can. 1:55:03 Um, but shit's changing and it's it's 1:55:05 not going to not change just because 1:55:07 you're pissed off. All right. 1:55:24 All right, everybody. Um, what's today? 1:55:27 Tuesday. Tomorrow night, normal time, 1:55:29 8:00 PM. I will see you here. Peace out.