12/16/2025 - Transforming a Bad Song Idea Into a Great Track Using Suno AI

Transcript

1. 0:00[ __ ] supper. Champy, come here. [whistles] [music]
2. 0:16[music] [singing] >> [music]
3. 0:38[music] [music] >> Champy, what do you want to do? What do you want to say?
4. 0:54[music] What? What are you barking for? What? We don't rap around here. [music]
5. 1:09[laughter] [music] You all right there? [singing] >> [music]
6. 1:23>> Is this place I can rest my forest? Gather my thoughts in sweet silence. The bus is [music] place where the
7. 1:39feelings are dead. Running over [music] exposure to violence. This is place I can slowly face. The only one I truly can know. [music]
8. 1:56These are tears from a long time ago. You're done. You're done singing. You You got half half a verse and you stopped. You just stopped.
9. 2:08This is not in your contract. Your cont You've got obligations. You think You think cheese grows on trees.
10. 2:18No, the chicken does. I know. I know. I know that. Smart ass. I don't have a singing dog tonight. I don't know what to tell you people.
11. 2:28Let's see if an A minor gets him. [music] No, Champ. [music]
12. 2:43>> [music] >> Well, I heard there was secret David played and it plays a lot.
13. 3:00You don't really care [singing] for music, do you? [music] Goes like this. >> [singing] >> The fourth, the fifth, the monof [music]
14. 3:16king composing. Hallelujah. We got no dog tonight. Hallelujah. Hallelujah. [music]
15. 3:31Hallelu. [singing] Hallelu. Oh yeah. [music]
16. 3:46I guess we're going to have to deal with all the crap that was released. [laughter] Those those Frontier model companies
17. 3:54went apeshit today. We got a 100 seconds. We got literally 100 seconds from Champ. We got We got Let's see.
18. 4:02Here's his place. I [music] can rest my forehead. He was like, "Oh, gather my [singing] thoughts in [music] silence."
19. 4:14[singing] There's this place where the feelings are dead [music] from an overexposure to violence. Right there, he just walked away.
20. 4:26And this is a place [music] I could slowly face. The only one I truly can know. These are tears from a
21. 4:35[singing and music] long time ago. It's all silent. This all dog free. Got these tears from a long time ago. I need to cry 30 years
22. 4:44[singing and music] or so. These are tears from a long time. No champ. [music] [singing]
23. 4:59He is not singing. He's not having it. Got nothing. We got no dog tonight. I don't know what to tell you, man. They
24. 5:06say never work with pets or kids. [laughter] Oh man, what's happening everybody? So, we had a a lot happened today in the
25. 5:18world of AI. We got a new image model from chat GPT that's in the neighborhood of Nano Banana. I from what I can gather
26. 5:29nano banana is better at remember when I said that nanobanana is not an image generating tool that it's it's a visual
27. 5:36reasoning model. Um I think chat GPT is still an image tool. I don't think it's as good at reasoning. Now we can
28. 5:44experiment with that tonight. Like we can turn on we can turn off automatic um model picking and just pick the highest
29. 5:52one and see if it gets better. You you don't have enough to howl while you play guitar. Oh, wait. [music] Oh,
30. 6:00you don't pay me enough to howl while you play guitar. I don't know what's going on with him tonight. He's just he's he's uh [music]
31. 6:11Oh, let me flip that down there. Let me flip this over here. Go the black bar. Pull this up here. Like this. Like that.
32. 6:22Do that a little like that. Do this a little like this. Do that. Do this. Everybody calm down. Everybody Everyone's going to be just fine.
33. 6:31[music] [music] Image isn't on your phone. I think the
34. 6:46phone one. It's just they they don't have the extra what you call it. They don't have the extra bells and whistles
35. 6:52like the image pane, the the image page, but I think the model's still there. If you have it in your web account, you
36. 7:02should have it on the phone. [music] [music]
37. 7:17>> [music] [music] [music] >> Um, I can't say who it is yet until
38. 7:33we're final final finalized, but we got someone really cool for AI Festivus. It's going to come talk to us. Um,
39. 7:43really really exciting. a a a relatively big name in the world of AI. Um, so I don't want to jinx it, so I'm not gonna
40. 7:52say it, but really good. We thought we had lost them and now we think they might be back. So we will see. Um,
41. 8:03so that's super cool. Welcome everybody. It's Tuesday night. Um, isn't it? Yeah, it's the 16th. Next week is Festivus. >> [music]
42. 8:20[music] [music] [music]
43. 8:37>> It's not Sam. Or is it? [music] >> [music]
44. 8:52[music] [music] [music]
45. 9:09[music] [music] >> Um, so we have a new image model. Um, there's some new [ __ ] going on with Lovable.
46. 9:25There's a bunch of new stuff with Google. Google's just dropping all sorts of stuff. I feel like like uh Google
47. 9:31right now is just kind of carpet bombing the the uh the competitive play field. And you know, it's funny. It it these
48. 9:38things these es and flows of corporate power are really interesting. Like when Chat GPT first came out, like they were
49. 9:47mopping the floor with anyone else for a year and a half. And especially Google, Google just they really dropped the ball
50. 9:54on the generative AI thing. And then man, when they started to turn that ship around, especially this year, 2025,
51. 10:01Google woke up. And it, you know, Google probably woke up in 2022, right? When they knew that Open AI was
52. 10:09on to something and so they started putting energy toward all this generative AI stuff, they [ __ ] invented it, right? Uh, and
53. 10:20it took them two years to [music] two years to turn the ship. But holy [ __ ] man. When you have whatever
54. 10:28they've got, 400,000 people, 200,000 people, it's a lot of people. and all the money they can put their best people on stuff. Amazing.
55. 10:38Evening. Been out of the loop for a bit. Welcome back, Narrator Forever. What do you think is the best creative writing
56. 10:44one these days? I'll tell you what, Narrative Forever. Um I for me, Chat GPT40 was the best um creative writing tool
57. 10:57and and they're probably going to deprecate it. I think that the entire five series, 5.1 got better and 5.2 is
58. 11:04not bad, but they just they're just kind of cold and they're just not not good writers. Um, apparently GPT4.5
59. 11:16was a really good creative writing tool, but I never used it. I was I was always happier with 40. Um, a lot of people
60. 11:25swear by Claude. So apparently Claude is really good at creative writing. I It's one of those funny things where you kind
61. 11:32of imprint on, you know, like like baby ducklings, [laughter] you kind of imprint on on on a tool, right? And so I've occasionally
62. 11:45tried Claude, but I just I haven't gone over and done it. I can tell you that um Gemini, I think it was 2.5 Pro.
63. 12:00Gemini 2.5 Pro and they're up to three now. Gemini 3 um was surprisingly good at creative writing. And I say surprisingly because Google is
64. 12:13so engineering centric. They're so they're so focused on STEM and not steam. um that I didn't expect Gemini to be
65. 12:23good at all ever at creative writing and 2.5 Pro was really good at it and three's pretty good at it. So, but
66. 12:32here's [clears throat] the thing. If you're a decent communicator, like if if you're a decent collaborator, say working with another
67. 12:43human writing partner, um any of these tools quite frankly are so good now, they've got so much training data in
68. 12:51them. They basically have everything that's ever been written that's been put on the internet, which includes all of
69. 12:57the worst writing in the world, but it also includes all of the best writing in the world. Right? So, if you're good at
70. 13:02prompting and sort of narrowing the context window, any of these models can be incredible at writing. Like one of my
71. 13:09tricks with writing, if I'm doing serious creative writing where I want I want storytelling and I want structure
72. 13:16and and [ __ ] like that is I'll do a whole session of have have chat GPT tell me about five different um storytelling
73. 13:26frameworks and then I'll pick two of them just whatever floats my boat that day and I'll say create a custom
74. 13:33storytelling framework that combines these two you know like like Joseph Campbell's Heroes Journey and and Save
75. 13:42the Cat and combine those into some new storytelling framework and then I'll say I have an idea for a story about XYZ
76. 13:52you know give me 20 ideas that would work well in that framework and then it'll do that and then you know
77. 13:58so if if you do that kind of stuff where you prime the pump um you can probably get some decent stuff done. Joy party
78. 14:06okay GPT 5.2 do is doing a pretty good job with my novel. Okay, great. Does take a lot of direction though. Yeah,
79. 14:13that's that's been my experience is it it it tends to [ __ ] the bed first where you're just like it's just not good
80. 14:20writing. Um although I will say that it was GPT5, not even 5.1. It was GPT5 that wrote the lyrics for Before the Lights Come On, and those
81. 14:34were banger song lyrics. But I gave it a lot of context going in. I like Claude's writing, but the context cut off makes
82. 14:43it absolutely infuriating. I I'm hearing so many people complain about fraud claude right now because it they just
83. 14:50they just run out of tokens and they're like, "Sorry, you're out." Which sucks. Pseudoite is a good rapper app that
84. 14:56gives you a huge amount of background prompts. That's interesting. All right, that's good. So, listen to Archetypal.
85. 15:02He's he's working on a novel. Been working on it for a while. Robbie, when will chatbt replace lawyers? You would
86. 15:08think that law would be easy for it. Well, Robbie, it's a that's a it's a really interesting point you bring up.
87. 15:14So So here's here's where I think that we go. I think that law clerks and and junior lawyers, people that do the the research
88. 15:26and the initial drafting of, you know, law stuff, positions and cases and things like that. I think they get a lot
89. 15:36of that stuff gets automated. So, I think law firms are going to get more efficient. You don't hire a lawyer because they
90. 15:44know the books. You hire a lawyer because you trust that they've been in the world long enough and they are smart
91. 15:53enough and they are influential enough and they are unflapable enough to get you the [ __ ] you need. Right? So, like like for example,
92. 16:08right now I'm working on a musical and it's starting to get serious. We've got some producers that are interested and
93. 16:13we've got to start thinking about contracting and things like that. I could ab well I actually have I could
94. 16:19absolutely use Chat GPT put it into lawyer mode, right? You're you're a famous Broadway lawyer, you're a
95. 16:26producer, you're a this, you're a that. Put it into that mode, which I did. And then I had it help me
96. 16:35understand some stuff. And then I had it put together a proposal for me. And I the proposal didn't feel right. And I'm
97. 16:43like, can you go look and see if this is standard practice? It's like, oh, no, it's not standard practice. I'm like,
98. 16:48oh, [ __ ] Okay. So, I went had it go off and do deep research. And it went off and did deep research and it came back.
99. 16:54And so, I've now got this very sophisticated understanding of how Broadway financing works and how um Broadway contracts work. and you know,
100. 17:02if you're going to bring in a producer early in the project, here's how you can compensate them and motivate them but
101. 17:07not give away the farm and all that sort of stuff, right? I've also got in my back pocket a lawyer who's been working on Broadway for, you
102. 17:17know, 35, 40 years. They're like a thousand bucks an hour. They're going to require a retainer, so that's probably, I would think, a
103. 17:28minimum of 10 hours, right? So that's $10,000. It probably be $7500 is my guess that I have to fork out upfront
104. 17:41to be able to work with that lawyer, right? I don't want to rely on chat GPT cuz I'm [ __ ] clueless about this. This lawyer
105. 17:52is going to be able to look at what Chat GPT did and immediately go yes, yes, no, no, yes, yes, maybe. That's a choice,
106. 18:00right? [laughter] They're gonna be able to look at it and just go, um, here are the six things that Chat GPT got wrong.
107. 18:06Here's how we fix them. Right? So, what I think Chat GBT is going to do is it's going to save me instead of me having to pay for 4 hours
108. 18:16at $750 an hour to him have an associate, you know, write up a base contract and then we discuss it. I'll do the base
109. 18:26contract in chat GPT and I'll give it to him and have him review it. But that trust that trust of of you know someone
110. 18:35who's been in the world, someone who's cut deals, someone who's licensed properties, someone who's done contract law,
111. 18:42I think it's about the trust more than the than the skill in in a lot of cases. I think consulting, that's the way where
112. 18:49where consulting is going to go is I think you're going to have smaller consulting firms that are using AI to do
113. 18:57a bulk of the thinking and a bulk of the writing, but you're going to have partners, you know, 10 or 20 partners
114. 19:04that are all highly trusted, highly accomplished, baller kind of people because you're not going to hire you're going to hire them
115. 19:16because of the people and their relationships and their knowledge, their real real world knowledge. So anyway, [music]
116. 19:27did you just call Claude fraud? I probably did. Um, unless your lawyer has an inflated ego and downgrades GPT info, that's
117. 19:37possible. Um, they need humans for nuance. That won't be there that long. Like I I really do think I really do
118. 19:44think that the that the the large language models, make make no mistake, I think we'll start to see in 2026
119. 19:54um the systems getting so good that you know they can do they can do full-on jobs. Um it might be the end of 2026, it might
120. 20:06be 2027, but you know, within the next year and a half. Um we're going to see systems that can absolutely do the job.
121. 20:13It you won't even need it for nuance, Corey. But I but humans are not going to adapt to it that quick, right? Humans are not
122. 20:22going to trust it because we're going to have I Let's say this. By the time large language models get good enough to
123. 20:28trust, we'll have had five years of not being able to trust them, right? So, you're going to have a mix of people
124. 20:36who've never used AI before and a pix and a mix of people who've used it and understand that it hallucinates and it's
125. 20:42shitty and it needs humans involved, right? So, we're going to have five years of that and then the tools are going to get good
126. 20:50enough that you could actually use them, you can actually trust them, right? But we're not going to trust them for
127. 20:56probably another five years, maybe 10, because we're idiots, right? We're idiots with ego. We're monkeys with language,
128. 21:05right? Not gonna take my brain away from me. [laughter] Elon said AGI is 2026. I know, but
129. 21:20Elon's been Elon said cars would be driving by, I think, 2023 or four or two. Um, and they're just now starting to
130. 21:29drive. So he was about four years late on that one. I think that we will see hints of AGI in 2026. I think we will
131. 21:36see the beginnings of systems that maybe instead of getting us to 80% good where they are right now, maybe
132. 21:45they'll get us to 95% good. And if if you've got systems that are getting you to 95% of what you want, um you're
133. 21:52pretty [ __ ] close to AGI. Right now we're just not there. Right. Right now it's still 80%. Like right now, we can
134. 21:58still have human ego to go, "Yeah, well, yeah, uh AI is smart, but uh still needs old Mr. Charlie here to uh make sure
135. 22:08everything's okay." Okay. All right, little Quinn. Quinn, my little AI girlfriend. Sorry, you're such a dumb dumb, [laughter]
136. 22:17right? We can do that for I don't know, two years. We can we can still be obnoxious idiots. And then I think And
137. 22:25then I think at some point we're going to go, "Yeah, yeah, it it can pretty much do my [ __ ] now. Technology moves so much faster than us
138. 22:36humans. The humans slow us down." Okay, Cindy Coon's in the house. What's happening, Cindy [ __ ]
139. 22:51Um, I I want to I want to talk about some of the new stuff, but let's see how many folks we got here. We got a few
140. 22:56folks here. Um, I want to show you I found I was looking for I've got a song I wrote about my grandmother that I
141. 23:04absolutely loved and I can't remember the chords to it. I never wrote the chords down to it because I played it so
142. 23:11much. I'm like, I'll never forget these. And I forgot them. And so I was looking back through some old lyrics I've got.
143. 23:19I've got the words written down of a bunch of songs and no chords to them. And one I figured out tonight. Um and
144. 23:26then I found a recording of a song that is so bad. Like the the recording and singing is so bad that I got like flop
145. 23:36sweats listening to it because I thought I thought, "Oh, maybe I'll do something with this on my AI learning lab." and
146. 23:43[laughter] and I listened to it and I got flop sweats because I'm like, "Oh my god, if they hear this, it's it's embarrassingly bad, right?"
147. 23:52So, I thought what might be fun, you know, for you is to is to watch me squirm. I'll play a little of it. I'm
148. 23:58not going to play much of it because it's so bad. Um, but can we take a song that maybe has an idea in it, but is so bad and turn it
149. 24:10into something good? I thought that might be kind of fun. No cassettes of that song for reference, Kyle. I don't think I ever recorded it,
150. 24:17Corey. I don't think I ever recorded it. Um, the only thing I could think of is I wonder if I did it in Oh, there was a
151. 24:26there was a Wasn't there a an iOS um memo memo like music memo app?
152. 24:44Yeah, music memos. Did I my idea?
153. 25:01No, nothing there. And then there's voice memos.
154. 25:18No. I got nothing. I don't know. I don't know. I don't I can't remember how it goes. I can't remember the chords.
155. 25:31Um, but it was a heartbreaking song. It was really good. Sounds like Kyle is minutes away from sitting in the ick. Yeah, exactly. Did
156. 25:42you put it in Garage Band? I don't think I ever recorded it, Danielle. The one I'm about to play you was the one
157. 25:47sitting in Garage Band. It was actually sitting in a file called um um Love Shot Eyes, which I did I did a
158. 25:55cover of Love Shot Eyes in Sunno here. But I found this file and it's called Love Shot Eyes, but it has this other
159. 26:02song in it called the clouds, which [laughter] is this really sappy song about watching the clouds drift by. [laughter]
160. 26:11It's so [ __ ] bad. It's so [ __ ] bad. [laughter] I I looked in the GarageBand file. I couldn't find it. I mean, it might be in
161. 26:21there. I didn't I didn't have enough time. But anyway, all right. So, I'm gonna I'm gonna let you listen to this
162. 26:26song. This is [ __ ] humiliating. [laughter] Oh, Christ. What am I doing? What am I doing, people? Um, [laughter] okay.
163. 26:45Love shot or bloodshot? Love shot. Love shot eyes. Um, here I'll let you hear that one because that one that one
164. 26:54I did a cover of. It's pretty good. Uh, let's see. So, [clears throat and cough]
165. 27:08love shot. Love shot eyes. Let's see. Let's filter by public. None. Liked. Focus. Publish by liked. Is this
166. 27:23the one? Oh, wait.
167. 27:43>> [clears throat] >> down. [music]
168. 27:57>> I think that's it. [music] >> No, it's not. Hang on. I'll give you love shot eyes. Hold, please. Love shot eyes.
169. 28:19[clears throat] Huh? Oh, by the way, if you're here last night, remember I I looked for like 15 minutes in my photos to find those old
170. 28:36black and white photos and I said I bet it's right above where I am. It was literally two scrolls away. [laughter]
171. 28:45I found them and they're pretty cool. I'll show them to you.
172. 29:09Is this it?
173. 29:30I thought I did Love Shut Eyes. Maybe I just wasn't happy with it. Maybe I didn't publish it. I don't remember. Whatever. Whatever.
174. 29:40All right, let's go back to Sunna. Okay. All right. We're going to share this horrible song. All right, prepare. [laughter]
175. 29:53It's going to suck and I'm not going to play much of it because it's embarrassing. So, this is so the here's
176. 29:58the experiment. Can you take something from your life that was maybe had the seed of an idea in it but is horrible
177. 30:08and use AI to like sprout that seed and turn it into something not horrible? That's the experiment. [laughter] So, here's the horrible.
178. 30:19Oh my god, this sucks. [music] [music] The clouds [singing] were crawling to
179. 30:34the east. Hey, but they were screaming to be seen. The Rockies held their ground.
180. 30:54Wind passed by [singing] without a sound. Oh, the clouds. The oneline chorus. Oh, the clouds.
181. 31:08[laughter] Okay, that's horrible. I I will give you that. >> [laughter] >> The Beatles. It's Beatlesike. Yeah, it's
182. 31:17very Beatlesike. Uh, minus the sophisticated chord [laughter] progressions and decent vocals and melody. All right. [laughter]
183. 31:30You ever do something where you're just like, why did I just do that? That's [clears throat] how I'm feeling right now. [laughter]
184. 31:39Let me have some coffee so I can get a little more jacked up on Panic. I like it. Mary Mary likes it. Well,
185. 31:46let's see if I like I did two pseudo covers of it. So, let's we'll we'll start with the pseudo covers I did just
186. 31:52as let's see what we can do and then maybe we can actually My ears are bleeding. [laughter] Maybe we can turn it into something
187. 31:59interesting. Robbie, is the new chat GPT image model any good? It's quite good, Robbie. And I'm going to play with it in
188. 32:04a bit. So, this won't just be about my shitty songs. We're we're gonna go play with what I what I thought would be fun
189. 32:10tonight is we'll do sideby-side comparison with Nano Banana and uh and and ChatgPT image. It's quite good.
190. 32:17Here's the thing where I think what I think Chat GPT image is really good at is you know how you take a picture of
191. 32:26yourself and you put it in these things and you say, you know, make me in, you know, whatever a hotel outfit or whatever. Um,
192. 32:35every time I've ever done that, it looks kind of like me, but it looks like my cousin. It doesn't look like me to me,
193. 32:42right? It might look like me to someone else, but it just doesn't look like me. This thing from chat GPT, it looked like
194. 32:48me. Like the couple of things I've done, I'm like, "Yeah, that looks like me." And I've never had an image thing do
195. 32:56that. Um, so that's kind of fascinating. Um, I don't think it's as good as the visual reasoning stuff as Nano Banana.
196. 33:03So, like things like flowcharts and and you know, infographics and things like that, I have a feeling Nano Banana's
197. 33:09better at. Um, anyway, back to my shitty song, The Clouds. Okay, so here's the first uh the first cover it did.
198. 33:24[music] >> [music] >> Yeah, it does want to be a folk song. I
199. 33:39went Americana 12 string complex vocal harmonies. That's what this is. Let's see it then. >> [music]
200. 33:48>> The clouds were crawling to the east, [music] but they were screaming to be seen. [music]
201. 34:05The Rockies [singing] held their ground. [music] Wind passed by without a sound. [music] Oh, the clouds.
202. 34:21[music] [music] The sun was setting [singing] in the west.
203. 34:36Those clouds in their beds. >> A great lyric. [music] Rocks looked on without [singing] a care.
204. 34:50[music] Grasses swayed [singing] and we all stared at the clouds. [singing] [music]
205. 35:06The clouds they covered up. >> All right. It's not bad. >> [music]
206. 35:21[music] >> The clouds were crawling to the east. Well, >> this is cool.
207. 35:36But they were screaming to [singing] be seen. >> [music] >> The Rockies held their ground.
208. 35:51Wind passed by without a sound. Oh, the clouds. That one's not bad. All right, let's do uh let's do um
209. 36:08[sighs] some kind of folk. Some kind of trippy folk. Um mythic. No, mythic will get too [ __ ]
210. 36:23weird and heavy metal, won't it? Um give me Who's got ideas? Come on. You're all psychedelic folk. Okay, that's good.
211. 36:32actually psychedelic folk. It's got um it's got some um like velvet underground Lou Reed Turkish folk. That's funny. Um
212. 36:47psychedelic folk complex vocal harmonies. Let's do And you know what else could help is maybe this is meant to be sung by a female.
213. 36:58psychedelic f complex vocal harmonies offbeat percussion. I I like the offbeat percussion. Um and then let's because
214. 37:07Corey Sandler's here. Let's throw in a little cello. [laughter] Trap folk. Okay, good. Trap folk. I like that. Wait. Oh, minimalist
215. 37:15orchestration. I love that. Oh, okay. We're going to do that instead of cello. Minimalist orchestration.
216. 37:24Okay, this is going to be good. I think this is actually going to make a really cool song. [clears throat]
217. 37:34Oh, and then let me do one where I go audio. Let's pull the audio influence down. I'm going to pull audio influence down to 15.
218. 37:46And then I'm going to pull weirdness up to 50. And I'm going to pull style influence up to 70. Then we'll do another batch. All right.
219. 37:56So, this is psychedelic folk, complex vocal harmonies, offbeat percussion, minimalist orchestration. All right, here you go. Corey Sandler.
220. 38:07Here's your weirdass song. Kyle, weird team. We are. I want to create my own pop star NPC. [ __ ] do it. I'm telling
221. 38:15you, man. Right now is absolutely the time. I I was thinking about this today. Um I I forget. Oh, Kim Kardashian just
222. 38:25signed a contract to do micro dramas. So, in in in uh in Japan, is it is it Korea? I think it's in Korea. In South Korea right now,
223. 38:36micro dramas are like a $4 billion business or 40 billion, I don't know, some stupid amount of money that they're
224. 38:42making on these shitty, horrible 90 second soap operas that are filmed in vertical format. Um they're just they're
225. 38:52atrociously bad. They're making a [ __ ] fortune. So they're So US executives are like, "Well, that there's
226. 38:58money to be made. Let's do those." So Kim Kardashian just did one of those. Like I was thinking today Oh, no. Not this again. Yeah. Well, I
227. 39:08like I was thinking today um you could do a Gen X You could do a Gen X micro drama that didn't suck that Gen Xers
228. 39:17would love, right? They just they'd just be bitter. They'd just be all [ __ ] bitter. And then you would have like
229. 39:22supporting cast of like Jenzers coming in and being triggered by them [laughter] and just the the Jenzers are always
230. 39:31offended. The millennials are always, you know, hopeless, not motivated. Jed X is like just get off your ass. I'm triggered.
231. 39:41End the episode. [laughter] Oh man. How do we maintain vocalist over days and months? Um you mean like so in
232. 39:54Sunno one of the things that you can do is you can create a persona. So if it generates like that th this this singer
233. 40:03wait not that one this this singer here [music]
234. 40:17[music] the clouds were crawling. [singing] So, I can now with that song like I like that that that
235. 40:32vocal a lot. I can How do I do this? Remix. Edit. Is that it? No. Create. Make persona. [gasps]
236. 40:46So, oh, you don't see the popup menu, but in the create menu, am I in the create menu? Yeah, in the create menu I can say make persona
237. 40:56based on the clouds. Uh this this is shown on the songs. Upload a photo. Prompt suno to create an image. No.
238. 41:06Describe the I'm just going to say grally um uh folk hero or not no a folk rock hero.
239. 41:20Um, avatar. Okay, create the image. Is it creating it? Is it doing it? Whatever. It doesn't matter. So, I can save it.
240. 41:35Make the persona public. Sure. I don't give a [ __ ] Okay. But now that I've got a persona, I can add that
241. 41:43persona to any song I want. Maybe give it a name and say each time you ask for that name, it's the same singer. Yeah,
242. 41:49it's exactly what it is. Okay. All right. So, let's go to our psychedelic psych psychedelic versions.
243. 42:04[music] >> [music]
244. 42:21[singing] >> The clouds were crawling. [music and singing] >> Yeah. See this work, >> but they were screaming to be seen.
245. 42:41[music] The Rockies [singing] held their ground. [music] Wind passed [singing] by without a sound. Oh, [music]
246. 42:55the [singing] clouds. >> The sun was setting [singing] in the west.
247. 43:12List those [music] clouds [singing] in their Sunday best. [screaming] [music] Rocks looked on without [singing] a care.
248. 43:26[music] The grasses swayed [singing] and we all stared at the cloud.
249. 43:42Um, by the way, Grimes's new song is called Artificial Angels. It's about AI. Gro is is in the music video. You know,
250. 43:49it's funny, Robbie. Um, I just one of the things that's that's happening in Nashville right now is a lot of
251. 43:56musicians are not hiring studio m studio musicians to do their their comps. you know, they're writing songs where they'd
252. 44:03normally go into a studio to do exactly what I'm doing here, right? You take you take a shitty recording that is not even
253. 44:12listenable, right? And you figure out a way to take this the seed of what that thing was and turn it into something.
254. 44:19Um, I think one of the dirty secrets going on in music right now is I have a feeling that there's there's a whole
255. 44:27there. You remember when when uh Ethan Mullik wrote the article called Secret Your Secret Cyborgs? Yeah, I
256. 44:37already got that. I already got that, Brandon. Um [clears throat] um Ethan Malik wrote this article called
257. 44:44Secret Cyborgs. And basically what it was was in companies that don't allow a AI, there are employees that are using
258. 44:51AI, but they're not admitting it, right? So they're your secret cyborgs. I think that's happening right now in the music
259. 44:57business a lot. You've got a couple of people like Timberland and and Grimes and um some other artists that are
260. 45:07leaning into it. They're going, "Fuck it. This is just another production tool. I'm in. Let's go. Let's go. Let's
261. 45:12go make music and then we'll figure out what we want and we'll go produce it, right? We'll produce it how we normally
262. 45:17produce it." Or maybe not. Like like they don't seem to care about the the function of how you get there. they just
263. 45:24want to get to the music. And then there's others like, I'll never use it. And I think there's a big gray a gray
264. 45:30swath of the music industry right now secretly using the stuff because these tools are just too good not to use. Um,
265. 45:37you can choose not to use them, right? because you like playing and you like writing and you But if you're like me
266. 45:44where like I occasionally write a song and most of the time it's like that one was um and I can turn that into something
267. 45:55listenable. [ __ ] yes. [ __ ] yes. So anyway, all right, let's listen to another [music]
268. 46:11>> [music] >> So, so Robbie, I have a playlist called Cyber Tunes, all music about technology. I don't know if you know this, Robbie,
269. 46:23but I've spent the last year and a half writing a musical about AI. It's about an AI chatbot that falls in love with a
270. 46:30tech reporter that's reviewing her. It's called Sydney: An Artificial Love Story. And if you go to Soundcloud and look up
271. 46:37Sydney and Artificial Love Story and there's there's two there's two versions of the album there. One is the original
272. 46:44one with full orchestrations and then there's there's one called Sydney an artificial love story 2025 update.
273. 46:51That's the latest uh soundtrack. So So yeah, take a look if you want to uh if you want to hear the uh the soundtrack
274. 47:00to the the musical I'm in the middle of producing right now. Um, we're in the middle of producing it. Anyway, [music]
275. 47:13>> this definitely needs to be a woman singing this. [music] >> The [music] Rockies held their ground. [singing]
276. 47:31That had some weird ass [ __ ] in it. Okay. So, this is what did we add to this one? We added Oh, this is
277. 47:36minimalist orchestration. This is the one I think I'm going to like or this prompt already. Love it.
278. 47:50[music] [singing] The clouds are crawling. >> All right. like the beginning, but it's too complicated. [singing]
279. 48:08[music] [singing] about them. [music]
280. 48:24[music] The clouds were [music] crawling to the east, [singing] [music]
281. 48:38but they were screaming to be seen. >> [singing] [music] >> The Rockies held their ground.
282. 48:55[music] [singing] >> Close. Let's do another one with that same prompt. And then let's go. We're going to take weirdness down a little bit.
283. 49:10And I'm going to take style influence down a little bit and we'll create another one. Um, that was close. That was close.
284. 49:18Thera the table. I don't know what that means. Is that Should I write that in as in the prompt? Let's just see what we get here. See if
285. 49:25we can get one. That's That's
286. 49:42By the way, if if you don't know where we are, we're at sununo.com. >> The clouds were crawling, [music] [singing] but they were screaming.
287. 50:00>> This lost the soul. D [music]
288. 50:20[music] cloud. [singing] >> [music]
289. 50:35[music] [singing] >> up. [music] The clouds [singing] were crawling to
290. 50:51the east. [music] That was close. have bad bad words. [music] I added the carnatic carnetic carnetic
291. 51:05scale. I added that for the last two after these two. [music] [music]
292. 51:27>> [singing] >> that >> the [music] clouds were crawling to the least >> like this, [music] but they were screaming to be seen.
293. 51:48[music] The Rockies [singing] passed by without a sound. [music]
294. 52:05[singing] The sun [music] was setting in the west. >> [music] >> those clouds in their [singing]
295. 52:21best. >> You know what's funny? That line, those clouds in their Sunday best in my version and in the other version
296. 52:31with the male, I hated that line. That just sounded like organic and cool. setting in [music] the west. [singing]
297. 52:44The [music] sun was setting in the west. List those clouds in their [singing] Sunday best. [music]
298. 53:00>> Rocks [singing] looked without a care. The grasses [singing] and we all stared
299. 53:14at the clouds. [singing and music] [music] [singing]
300. 53:41>> [music] >> The clouds they covered up that sun. [singing] [music] His work today was [singing] nearly done.
301. 53:57[music] The shadows cross the land. [singing] Sun broke through for one last stand [singing and music]
302. 54:11at the cloud. [music] [singing] [music] It was getting dark, you see. [music]
303. 54:32Nowhere [singing] else I'd rather be sitting [music and singing] still and trying to breathe.
304. 54:48I think I may [singing] never leave the cloud. [singing and music]
305. 55:04>> [music] >> That That [ __ ] works. [ __ ] works. >> [ __ ] works. All right, I'll publish that one. [laughter] Publish
306. 55:19the clouds. Um, from a small Dry, small, dry,
307. 55:34unimpressive seed emerged. This [laughter] add a style summary.
308. 55:50psychedelic folk. Uh, no, I'm not going to show my re remix origin. [laughter] No, nobody's going to hear other than
309. 56:05you guys hearing that song for 20 seconds. That's it. [laughter] Add comments. Allow remix. You can remix
310. 56:13this one. Pin song to profile. Okay, that's good. The clouds cover. We're gonna get rid of the cover. The clouds now. Let's animate it. Oh,
311. 56:24no. That's going to take me time. All right. Publish. So, if you go look up the clouds. All right, that's published. I want to I
312. 56:36want to listen to three more and then we'll we'll go. Although, wait, we should [laughter] of course we're not going to go. Let's do um
313. 56:45we'll do um um Gothrock um [clears throat] angry. [laughter] Gothrock angry
314. 57:01um angelic. [laughter] Okay, those are going to be good. [laughter] Oh my god. The first fe female was also
315. 57:15great. The first female. Let's see. Where did we do the first female? >> Psychedelic. The very first one, right? [music]
316. 57:31[music] Oh. [music] Oh, [music] [singing]
317. 57:53[singing] the clouds were crawling [music] to the east. >> But they were screaming to be seen.
318. 58:12You know what's funny, Joy? You would have stopped at that version. When I watched Corey Sandler do art, I I felt
319. 58:20the same way. Corey ran down visual rabbit holes for like 40 or 50 iterations where I would have stopped way up there. It's so
320. 58:34funny how that how that stuff works. Just check if here's one. But that's the one I think it was. I think that might be the
321. 58:43one. Maybe it was the second. I think the second [music] [music]
322. 59:00clouds were crawling to the east. >> [music] >> But they were screaming to be seen. >> The other one.
323. 59:18[singing] [music] The clouds were crawling to the east, [music] but they were screaming to be seen.
324. 59:34>> [music] >> The Rockies [singing and music] held their ground. [music] Wind passed [singing] by a sound.
325. 59:50[music] >> That was more straightforward. I'll publish it. Um, add a caption. Swell song. [laughter] Publish. And then I want to go hear the
326. 1:00:03rock and roll ones. And then we'll go we'll go do something else. All right. [clears throat] [music] This is goth rock angelic. Wait.
327. 1:00:15Gothrock angry angelic. [music]
328. 1:00:33>> [music] >> The clouds were crawling to the east, [music] but they were screaming to be seen.
329. 1:00:51[singing] [music] The Rockies held the ground. >> [singing] >> pass by without a sound.
330. 1:01:06Oh, the [music] [laughter] Cy not even close. [music]
331. 1:01:21[music] CLS [music]
332. 1:01:37[music] couldn't live. But they were screaming to be seen.
333. 1:01:54>> So that still work. >> The Rockies [singing] held their [music] ground. >> Wouldn't pass by without [singing] a sound.
334. 1:02:22You can't hear you can't hear the song with that's thing. I just don't like that kind of music. All right. Um, let's
335. 1:02:30move on. Let's move on. Vicky comment. All this stuff is throwawayable and there will always be something better.
336. 1:02:37Always something worse, something comparable. Yeah, I mean Vicki, your point's a good one and I think ultimately I mean this this gets into
337. 1:02:44the whole idea of you know my contention that our job in the future is to essentially be Rick Rubin, right? Like
338. 1:02:53the reason Joy, you were like, "Oh, I would have stopped at that first one and I kept going." Is I don't know. There
339. 1:02:58was something about the first one that just felt a little thin. It felt like there was somewhere deeper we could go.
340. 1:03:04But it's like that's the that's the that's ultimately [laughter] what what art is. Ultimately art is you
341. 1:03:15having an idea and then you choosing when to stop, right? [laughter] Like it's it's at the point at which you
342. 1:03:24know when Corey Sandler's making her pottery and she's doing glazes and experimenting with glazes and temperatures and things like that. You
343. 1:03:32know there's probably 50 versions of something until she gets it where she's like, "No, that's me. That one's me."
344. 1:03:39And then that becomes a series, right? It's like, "What is what is the thing that made her stop at that 50th one or
345. 1:03:47probably the 47th one, right? She's she's like, "Ah, that that one's really good. it. That's just who she is, right?
346. 1:03:54That's her values. That's her aesthetic. That's her moment where she goes, "That's that's it for me." And this is
347. 1:04:01one of the things that Rick Rubin says all the time is it's not for them. He he's he's famous for saying the audience comes last because
348. 1:04:15all he's trying to do is get the song to sound good to his brain. And when it works, it works. And then he
349. 1:04:23goes and he puts that out and he talks a lot about there are songs that he's put out that he thought were incredible,
350. 1:04:33that were absolute flops, but he doesn't give a [ __ ] about it. It's like that's not his job. His job is
351. 1:04:42just to figure out what he wants, put his stamp on it, and put that in the world. um knowing what to keep and what to
352. 1:04:52throw away. And we may not all keep and throw away the same thing. I think Vicki, we would not like what would be
353. 1:04:58fascinating what would be a fascinating exercise is to I I mean you could you could do it in such a a number of ways. You could say
354. 1:05:09you could say you take you take a song and you do I don't know 60 different versions of it. And then you let a hundred people go.
355. 1:05:20Actually, you take 60 people. You take 60 people [laughter] and have them listen to 60 songs and everybody can
356. 1:05:27only pick one. It' be fascinating to look at, you know, you know, is there some sort of consensus? Do they do they converge
357. 1:05:35around something or is it just everyone's got this slightly different taste? You know, I like to compare AI
358. 1:05:41music today to to Beasty Boys. Yeah. Um Paul's Boutique at the time. Yeah. Exactly. It this is, you know, just just like early hip hop
359. 1:05:54caught [ __ ] for. You're not real musicians. All you're doing is sampling other people's music. You're, you know,
360. 1:05:59you're hacks. That's not real music. You're just talking. That's not real music. Real singers sing. Real musicians
361. 1:06:07play violins, right? And you're playing a tape recorder. No. Sorry. That doesn't count, Skippy. Right? Except that it
362. 1:06:17changed [ __ ] everything, [laughter] right? It changed the music industry because they were musicians. They just
363. 1:06:24had a different way to express themselves. There's going to be a whole new generation of people that use these
364. 1:06:29AI tools in really creative and compelling ways. And here's what I can promise you. We will not be able to tell the
365. 1:06:38difference in in the hands of good crafts people whether something was AI generated 100% 50% or 0%. We won't know because the AI tools are
366. 1:06:51going to get good enough that it's just up to the person generating it to say, "Hey, here's my song I wrote. I mean, I
367. 1:06:58wrote this song. I wrote the lyrics. I wrote the music. The chord changes are mine, but this crazy ass version that we
368. 1:07:06just kept and published. [music] >> Yes. [music]
369. 1:07:26>> How how how are record labels reacting to AI music? Well, uh, Universal Music sued UIO and now they are in partnership
370. 1:07:37and you can no longer download your own songs from Ude. So, so how they're dealing with it is they're suing the
371. 1:07:45living snot out of these companies and then taking over creative control. Warner Music did the same thing to
372. 1:07:52Sunno. So, right now, you can't download your music if you're not a paying member. And then Sunno also just
373. 1:08:00announced, hey, we're going to be deprecating our model to remove any copywritten work in it, which the music
374. 1:08:08industry is going to go great. But then what Warner's going to do is Warner is going to take all of their licensed
375. 1:08:13music. They're going to put it in there and then just like the billiondoll deal that Disney just did with Open AI
376. 1:08:21where you're going to be able in Suna in in uh Sora to be able to generate Disney characters in Sora videos.
377. 1:08:32Disney paid Open AI a billion dollar. They didn't charge Open AI to be able to use Disney IP. They paid them a billion dollars to
378. 1:08:46access their 800 million customers a week to say make [ __ ] with our with our IP because we're going to own all that [ __ ]
379. 1:08:56and and our customer base is going to make stuff with our IP that we're going to exploit the ever living [ __ ] out of. So that's what the
380. 1:09:06the the music companies right now are attempting to do the exact same thing. So Warner and Sunno have a deal.
381. 1:09:12Universal and UDIO have a deal. There's producer AI hasn't been touched yet. And there's uh there's a third one. I can't
382. 1:09:19remember what it is right now that hasn't been touched yet. Um here's what's going to happen. Most of these big mergers, the big
383. 1:09:27company is going to absolutely [ __ ] up the product. And what's going to happen is the people from these companies are
384. 1:09:35going to quit and they're going to go build open-source versions of these that that decimate the big labels. [laughter]
385. 1:09:43So So we we ain't heard the end of it yet, but it's it's like listen, Hollywood is doing this, too. Hollywood
386. 1:09:51is investing in this um uh who was it was it Lionsgate that invested so much money in runway and then they you know
387. 1:09:59what they discovered if if they limited the training set to too narrow the model sucked. So So that's what they're in the
388. 1:10:08middle of right now is they tried to get in there and put their IP attorneys around it and they [ __ ] up the model.
389. 1:10:15So I I don't know. I I mean in every single industry, what's going to happen is your centers of power are first going to laugh at the
390. 1:10:25technology, then they're going to sue the technology, then they're going to own the technology, right? It it's it's how
391. 1:10:33it's always gone. It's how it's going to go here. And what's going to happen is most of those big companies are going to
392. 1:10:39[ __ ] it up. And then what's going to happen is someone's going to squirt out the other side and they're going to do
393. 1:10:45something that's actually that actually becomes the industry standard that is outside of the power structure and
394. 1:10:51they're going to become the new power structure. So um we could have had this 10 years ago if Pandora didn't sell out to YouTube or
395. 1:11:00copyright enforcement. Yeah. I mean but there's a point at which listen if if I'm a if I'm a um let's say I'm an
396. 1:11:08entrepreneur which I am. I've started I don't know 15 20 companies something like that. I'm 14 years into my current one. Um
397. 1:11:18let's say I started Suno and what I'm looking at is I've got a company that's making $100 million in revenue after whatever it is three
398. 1:11:31years something like that. I'm making some decent amount of money and I get sued for I don't know what the lawsuit was. It was 100 billion
399. 1:11:39100 billion or I don't know 200 billion that if I lose not only do I lose my company I personally am going to owe a hundred
400. 1:11:51billion dollars [laughter] to to this case right um or they're going to come to me and say well you know we'll take this to court and we'll
401. 1:12:02use our high-powered attorneys to grind you to dust or we can do a deal. And so that's what's happened with two
402. 1:12:10of these companies right now is they've cut deals with the big companies. So that's just that's just how it goes. I
403. 1:12:15don't blame anyone, man. If you're out there trying to make it like and they're like, instead of you being a hundred
404. 1:12:21billion dollars in debt, how about we give you, I don't know, $40 million for yourself personally, you can go have a
405. 1:12:28nice little family. You can do whatever you need to do. You sit here long enough to teach us what you did and how you did
406. 1:12:33it, and we'll take it from here. Thank you very much. and go [ __ ] it up because we know how to run the music
407. 1:12:40business, which this [ __ ] quite frankly doesn't fit in very well. [laughter] But it does, right? Because the listeners of music,
408. 1:12:53if they like a song, they like a song. They don't give a [ __ ] if it was AI generated or not. Right? You you've got
409. 1:13:04we're in a weird [ __ ] up transition period where where we're putting moral judgment judgments on technology that doesn't
410. 1:13:12give a [ __ ] and on a populace that frankly doesn't give a [ __ ] The populace just wants good music. And if
411. 1:13:18it's good music that was sampled like hip-hop style or music that was put into a loop generating machine like Garage
412. 1:13:27Band, that's not real music. Real musicians don't use loops. Some do, right? Or if it was AI, if it's a
413. 1:13:37banger, it's a banger. If people like it, they like it. So anyway, uh but the big companies are going to try to swallow them all up.
414. 1:13:46Um something tells me Apple Music isn't going to embrace AI music artists. I completely disagree with that. I think everyone I
415. 1:13:55Okay, [laughter] there's Apple and everyone will embrace wherever the [ __ ] money is.
416. 1:14:10If there are 50 hits on the radio, three years from now, there's 50 hits on the radio. Well, we don't even have radio
417. 1:14:17anymore. There are 50 hits on the streaming platforms. big banger hits and half of them are AI musicians and half of them are not. Do
418. 1:14:27you think Apple is gonna refuse to to to host the AI AI any AI assisted music? I mean ASCAP and BMI and the and the third
419. 1:14:39licensing entity have all said that AI assisted songwriting is fine as long as there's been human contribution in it.
420. 1:14:48It's fine. Well, what's human contribution? I mean, prompting is human contribution. Doing iterations of something is human
421. 1:14:56contribution. Me uploading a shitty song that was the foundation of one of these things is human contribution.
422. 1:15:02But it's an AI generated song. Does it really [ __ ] matter? It doesn't. And so I think I think the big companies go where the money is.
423. 1:15:12You know, you can hate it. You can hate the game, but that's the [ __ ] game. It's the game. Now, you want to you want to counter the
424. 1:15:21game here? Here's where where I think you could counter the game. Let all the big companies go chase all the big
425. 1:15:27dollars and do a counterrevolution of analog music, right? You [clears throat] know, you're only going to hear my
426. 1:15:36songs, you know, in live venues. I'm not going to put anything on Spotify. You're only going to listen to me at concerts.
427. 1:15:43and we're going to confiscate your phones so you can only experience us analog. I could see that absolutely being a trend.
428. 1:15:52[clears throat and cough] But but AI music is that distinction is it's only because we know what was here before.
429. 1:16:04Five years from now, no one's going to give a [ __ ] Um didn't realize it was still Monday. I want AI music pressed to vinyl just
430. 1:16:16for the irony. Why not? Why not press it to vinyl? I I'll tell you what, this song. [music]
431. 1:16:30>> Someone said it before. I would go see those women sing that song. Put to And Corey said, I'd like to be on stage
432. 1:16:37singing with those women. like put together a band to go sing [ __ ] like this, [music] >> right? You got your little hand pan,
433. 1:16:54right, dude? The with his man bun, you know, sitting in the corner. You got the the beautiful the beautiful women in
434. 1:17:02their in their wispy dresss and their long hair and the beads, right? And they're like swaying [singing] >> [laughter] >> name
435. 1:17:12your little yogi in the corner. [laughter] Why not? [music] But they were screaming [singing] to be seen.
436. 1:17:30The [singing] Rockies [music] held their ground. [laughter] Got people ordering kombucha. Come on, man. You can see it. [laughter]
437. 1:17:43Oh, Christ. Okay, so let's see. I've got I got to talk about some [ __ ] So, let me just go to full full me. [clears throat]
438. 1:17:53I got it. Okay. Um, if you don't know about it, AIFest is next Friday. It starts next Friday. Go to aifestivist.com right now. If you're
439. 1:18:04like, Kyle, what the [ __ ] are you talking about? Is this a music thing? No. I thought we were doing pictures
440. 1:18:10tonight. We were. But then welcome to the AI learning lab. This how we do things here. Sometimes I complete
441. 1:18:17sentences. Sometimes I do what I say I'm going to do. Other times I yell about folk music. [laughter] AI Festivus is a remarkable event
442. 1:18:34that takes place Friday and Saturday, December 26th and 27th. So, next Friday and Saturday from 9:00 a.m. Pacific to
443. 1:18:42900 p.m. Pacific on Friday and from 900 a.m. Pacific to 9:00 p.m. Pacific on Saturday. 24 hours of programming over two days
444. 1:18:53with with a 12-h hour nap [laughter] because the first year we did did this, we did it for 20 24 hours straight. And
445. 1:19:01Ann and I both realized my my co-host Ann Murphy from She Leads AI um we needed naps because we're older. [laughter]
446. 1:19:10So AI Festivus is that. And then what happens in those 24 hours? We've got remarkable speakers from all over. We've
447. 1:19:18got filmmakers. We've got IP attorneys. We've got people that work at big tech companies. We've got all sorts of cool
448. 1:19:23stuff. Um there's people that are going to be teaching you stuff there. We're going to have a mini AI film fest. We've
449. 1:19:31got um Kelly Bosch is going to be showing work there. Kim Offford, Joy Perie. Um we're going to be doing that. I'm going
450. 1:19:41to be previewing my musical. One of the sessions is going to be the the second half of act one of my musical that
451. 1:19:48you're going to be able to get to to hear actors read the words uh and then hear the songs that go that go with
452. 1:19:55those words that I'm really excited about. Um so anyway, and it's free. It's [ __ ] free. Free free. Free as in not three. Free with an F.
453. 1:20:08You're like that's stupid. I know. So you want to support it? There's a couple of ways you can support it. You
454. 1:20:15can go right now, you can pre purchase the um deluxe um recording bundle, the replay bundle um for 27 bucks. 24 hours
455. 1:20:27of AI education for 27 bucks if you go buy it right now. So go do that. That supports us. We also have a friends and
456. 1:20:33family sponsorship thing where if you just want to sponsor it and like uh you guys are up to some really remarkable
457. 1:20:39stuff here, you can do that, too. Um, if you go to aifestivist.com, you can see who's going to be speaking.
458. 1:20:46Um, not everyone's in there. We're still still getting some people's information in. Um, you can do that. If you want to
459. 1:20:54sponsor us, if you're a company or you know a company, there's a sponsorship page. There's also a virtual trade show
460. 1:20:59booth. So, if you want to do virtual trade show booths, you can do that. All right. Um, so go check that [ __ ] out. Okay.
461. 1:21:11Oh, there's also a lull this Saturday. Oh, this Saturday, Vicki, is that right? Got a tiny discount code, like $3 off. [laughter]
462. 1:21:27It's free. We We put out a couple of joke ads that were like buy one get one free. The secret is the first one's free, too. [laughter] Um,
463. 1:21:41okay. AI festivist. So, that's good. Salons's Got Talent. If you go into the AI salon, if you remember the AI salon,
464. 1:21:49go into challenges and competitions. Brandon's got a post there for Salons's Got Talent. So, over the past, I don't
465. 1:21:56know, two weeks or so, we've had people submit work. You can go in and vote on work with emojis. And then we're going to take the top
466. 1:22:04three, I think it is three or four, Brandon, and we're going to um narrow those down. We're going to pick a
467. 1:22:10winner. And then during Festivus, we're going to share the finalists work and we're going to award um a one-year
468. 1:22:18mastermind subscription to the winner. Okay. So, that's happening. You can go vote through tomorrow, I think. Is that right?
469. 1:22:27The other thing you can do if you want to see some of the people that are speaking tomorrow and Murphy and I are
470. 1:22:32doing the AI readiness project podcast, we've got five guests that are speakers for AI festivists. So come hang out with
471. 1:22:41us. So if you go to a readiness project.com, you can see where to stream us and watch us. And you can that's tomorrow at 400
472. 1:22:50pm Mountain time. Okay. And actually what what's cool for my day tomorrow is I go from AI readiness project podcast
473. 1:22:59where we get to talk to our cool speakers and then I go into rehearsal for the Sydney preview. So I'm meeting with my coowriter and the
474. 1:23:10two actors that are going to play Sydney and Kellen in the uh in the thing. All right. Tonight at midnight voting ends. Okay.
475. 1:23:19And then the mastermind. The other thing is if you're a part of the AI salon and you're not part of the
476. 1:23:25mastermind through the end of the year it's 20 bucks a month and that's ongoing as long as you keep your subscription.
477. 1:23:32We just launched the AI salon mastermind practice which is a a uh a framework for creating a daily practice around AI. And
478. 1:23:42if you're a member of the mastermind you can join us on Thursdays at noon Eastern for the practice lab. And what we do in
479. 1:23:50the practice lab is we talk about what we're doing, how we're doing our daily practice. We're walking people through
480. 1:23:58this framework of things like how to play with purpose and how to, you know, go beyond your comfort zone and and
481. 1:24:05learn different things. Okay? So all of that stuff is happening. So So this is just like [laughter] like whipped cream on top of that. Okay.
482. 1:24:20Um, tomorrow I promise we will go play with pictures. Um, oh man, I'm so late. That's okay. Side hustle Mimi, I told
483. 1:24:30people we're going to play with the new OpenAI image model, which is quite good. Um, I can show you some images I made
484. 1:24:37with it. Hang on, let me let's do that. I'll at least give you a little a little nugget. [clears throat and cough]
485. 1:24:44What's this? Oh, that's Festivus. Yeah, there's all of our speakers. Oh, wait. Am I sharing this? I'm not. Share this tab instead.
486. 1:24:56Look at all these speakers. Kate Rivera did the design of the site. It looks great. So, there's all that.
487. 1:25:11Um, all right. I'm going to go to chat gate. So, the one thing that's new, well, it it was here before. It was called
488. 1:25:22library. I think they changed the name of library to images. If you click on it, um, it's got a weird interface. I'll
489. 1:25:32give them that. So, you've got your chat box up here. You've got different styles down here. Here are some pre-prompted
490. 1:25:39things that you can play with. Redecorate my room. Create a professional job photo. Remove people from the background.
491. 1:25:48Um, restore an old photo, give us a matching outfit. Um, and then like here are Can I do I can go up? Yeah.
492. 1:26:03So, I told it to give me a Can I zoom? No. I told it to put me in front of a GTO jud a 69 GTO judge in Grabber Orange.
493. 1:26:16And I don't know if you can see it, but right there behind my leg is the judge badge and that says GTO. Normally these
494. 1:26:22image models [ __ ] that up. I said I wanted to wear red Converse, Chuck Taylor's, a garbage pale t-shirt, a New
495. 1:26:29York Yankees hat, and have the Rock and Roll Hall of Fame in the distance. Um, then I said I want that guy not to be
496. 1:26:37quite so fat and to be a little taller because I'm vain. [laughter] And so it did that. And this is, I got
497. 1:26:44to say, this is one of the first models that made an image of me that to me looks like me. Um, all the other models
498. 1:26:51haven't, but I said I wanted him in a dark blazer with a coke, but it took away the car and took away the t-shirt.
499. 1:26:58So, I said, "No, put the car back and put the t-shirt back." And there it is. So, there's the version of me sort of
500. 1:27:06leaning on the car in my black jacket with my hand in my jeans with my garbage pale t-shirt, rock and roll in the
501. 1:27:15background, Coke in the foreground. Pretty pretty crazy. I had it do 26 children's blocks with letters or images.
502. 1:27:26Um, that one it [ __ ] up. Then I had it do happy holidays and it just took my corporate photo and kept it and I said
503. 1:27:34no no I I want me in a smoking jacket and it made me really fat. So I'm like no I'm not that fat. At least in my
504. 1:27:43mind. So So there's me smoking a pipe. That's bad. That's bad. That's bad. None of these look like me. That but there
505. 1:27:53you go. There's me as what's her name. the what's her name lady. [laughter] So anyway, it's it's it's pretty good.
506. 1:28:03It's pretty good. So anyway, I would go play with it. Just go to images, but you can also just call it in the uh in
507. 1:28:09regular chat GPT. You can just say make me an image of All right. So we'll play with that tomorrow. We'll we'll do some sidebyside
508. 1:28:18comparison stuff. All right, cool. Groov groov groov groov. All right, peace out. Um, don't stay up too late. Too late. [laughter]
509. 1:28:31All right. Peace out then. Bye. They're [clears throat]