7/2/2025 - Chain of Creativity: Crafting Video Games with AI and Passion

Transcript

1. 0:00Oh, champic champella. [Music]
2. 0:40Let us be lovers. We'll marry our fortunes together. [Music] I've got some real estate here in my bag. [Music]
3. 0:54So, we bought a pack of cigarettes in Mrs. Wagner's pile. We've all come to America. [Music]
4. 1:27Kathy, I said as we [Music] see like a dream to [Music]
5. 2:12Yeah. Oh, [Music]
6. 2:41thank you. [Music]
7. 2:59Good evening, good people. Welcome to the AI learning lab. We're going to learn something tonight. I don't know what, but we're going to
8. 3:10talk about chains. Not tire chains, not Allison chains,
9. 3:24not whatever else you use chains for, but chains. We talk about chains tonight. Chains are really important. I think chains
10. 3:36are actually the key, a key [Music] to help combat some of the AI haters.
11. 3:50There, I said it. [Music]
12. 4:17Sitting in this lonely town, wondering when things are going to change. [Music] Dream my life away. Seems these dreams have turned to a
13. 4:32bunch clouds. Get my nerve up, but my past is pulling me down. Somebody told me once before.
14. 4:48[Music]
15. 5:09Somebody told me once before you can never go home again. Won't you leave? Said thanks to steer me away. Yeah. From
16. 5:22the truth of who I am and what I believe. So I thanked him for his two cents with a handshake and some sympathy. Yeah.
17. 5:33And I packed up my blue jeans, headed for this big prize of my freedom. Bye-bye, black sheep. To the black sheep of the
18. 5:49family. Bye-bye. Oh, it means so very much to me. And bye-bye [Music] sheep with my friends and my family.
19. 6:06Bye-bye. [Music] Going to strip my soul. Set it free. [Music] Um, chains, chains, chains, chains.
20. 6:26My god, he's lost his mind. He's lost his mind. People, what are we going to do? He is not in a stable mental state.
21. 6:37He's lost his mind. He's lost his marbles. He's unstable. All he's speaking about is chains. Nobody knows what he's talking about.
22. 6:48Chains. Chains. Chains. Curious. Has anyone discovered his qualifications? [Music]
23. 7:36[Music] Um, yes, I have lost my mind. and I have less lost my ever loving mind.
24. 7:57But if you have questions about AI, I can answer it. [Laughter] Ah, what's everybody saying here? Have you seen Martin Ston live? He is
25. 8:12amazing. He is amazing. [Music]
26. 8:32Um, he is I've never heard a voice like his. I got to hear Martin Ston sing. I did a songwriting workshop about a decade ago
27. 8:47and he was the guest artist that came in and he sang he was standing right in front of us. It was a room full of about 15 of us, 20 of us.
28. 8:57And they had a microphone but it's like a little small coral room, right? Like you know three benches, you know, the length of the room and
29. 9:04we're it's a little teeny room and he's singing and he stepped in front of the microphone. Forget what song he was singing. He's singing um
30. 9:18wasn't black sheep. But anyway, he got to the chorus and he just hit this note. I've never experienced anything like it.
31. 9:27It was like trumpets were coming out of his face. Like there were there was music coming out of his mouth, but there
32. 9:40were like harmonies coming out of his face. It was insane. It was just insane. It was just like, you know,
33. 9:52um he's one of those performers that um in a lot of a lot of ways he's got some similarities to Jacob Collier where he
34. 10:00plays the audience, but he also he also knows his songs so well that on any given night, you know, he might turn So Long Susanna into
35. 10:14um a 12minute riff. [Music] He'll do that with Purple Rain, too. [Music] [Applause] [Music]
36. 10:39Yeah. So, you should go see see him. If you haven't seen him, you should go see him. I didn't mean to cause you any sorrow.
37. 10:50Didn't mean to cause you any pain. [Music] Only want one time to see you laughing. Only want to see you laughing in that
38. 11:05purple rain. Purple rain. Purple rain. Purple rainbow rain. Purple rainbow rain.
39. 11:22Um, yeah, he's amazing. Amazing. Amazing. I've seen him, I don't know, seven, eight times. Your guitar sounds so wonderful. Thank
40. 11:31you. This is a This is a guild. Wait, where's my It's a guild. D30, D28. What is it? D30 AB. I bought this I bought this
41. 11:47guitar in 1987. I graduated Penn State and I accepted the job as the jester for the Pennsylvania State Renaissance
42. 12:02Festival. And so I just had to walk around and act like an idiot. and they paid me $1,100 in cash. And because I'm good with money,
43. 12:14I spent $400 on a mountain bike and $700 on a guitar. But honest to God, I have never [Music]
44. 12:30Hear [Music] how deep it is and rich, but it's still got [Music]
45. 12:52It's just It's just a beautiful guitar. never I can't Everything I play just sounds flat and hollow to me because
46. 12:58this has got such richness to it. Um but the high-end is still there. So I feel like Taylor's really um great on highend
47. 13:09but not on bass. I feel like Martins are kind of level, not great on bass. This one just there's something about how it
48. 13:16resonates. It's just amazing. And man, I've beat the [ __ ] out of this thing. Like the frets are the frets are
49. 13:24all need to be redone. The neck's too low. Um it's got all sorts of scratches and [ __ ] from my from when I walk into screen
50. 13:34doors and [ __ ] like that. But it's really good. Yeah. Thank you. Thank you. It's nice to have someone. It's magic. Yeah, it really is.
51. 13:47[Music]
52. 14:07[Music]
53. 14:38Okay, let's see. What are we going to do? What are we going to start? Where are we going to start? Where? Oh, a yes
54. 14:44riff, right? Yeah, exactly. [Music]
55. 15:13Um, things we learn in college. I'll take I'll take songs we learned 10 seconds of in college. Bob,
56. 15:27[Music] wait. [Music]
57. 15:44[Music] Anyway, I used to know that Blackbird agent since since the music sound nice,
58. 15:59let's try some musical ideas. We can play some music tonight. Um, got my Oh, Serena stickers today. Yeah, if if you knew Serena, so we have
59. 16:13these really amazing stickers in honor of Serena who passed away about three weeks ago. Now, I don't know if
60. 16:21you knew knew her or not, if you knew of her, she was absolute she came to every single one of these AI learning lab
61. 16:29lives. She's the one that coined the term the irregulars with this phrase, we're not weird, we're irregular. So, if
62. 16:37you want to order these uh stickers, you get this one and you get an AI salon sticker and you get a nice little
63. 16:45memorial sticker that Tobias has kindly generated. And the the sticker set for those three stickers stickers is 20
64. 16:52bucks, but all 20 bucks goes to her family. Um so, if you go to uh the AI salon um aison.mn.co co and scroll down into clubs and hubs
65. 17:08and you go to the irregulars channel here. Let me share my screen. Am I not sharing? I am. Uh why did the There you go. And go to
66. 17:19the irregulars channel. And then we've got remembering Serena here. And there's the stickers. And then you can
67. 17:29order them. So you just click click to order them from here from Tobias's shop. And any any sets that you order there,
68. 17:36the proceeds go straight to her family. So yeah. So that's cool. They came, Kelly. That's awesome. Um, she was in one of my lives. Nice, Mr.
69. 17:48It. That's awesome. [Music] If I add the guitar to the stickers, you'll buy them. No, I'm not selling this. This guitar. This guitar. Too
70. 18:02nice. too too. Uh, [Music] every time I see it now, wait. Every
71. 18:16time I see you now, get that look in mine. Every time I see your mouth, I hear that smile. The early misty morning light. I heard
72. 18:32the engine burning the old outside. Um, okay. Here's what we're going to talk about. We're not going to do any
73. 18:43show and tell for a minute. I'm going to talk about chains. You're be like, "Chains? What the hell are you talking
74. 18:48about? Chains? What are you talking about? Cow. Cow. Hey, cow. Cow. Cow. Cow. Cow. Cow. Cow. What are you talking
75. 18:54about?" Um, anyway, if you're new here, how many folks here? Oh, it's it's a light crew tonight. It's probably all
76. 19:00people we know. Amelio's wife. Yeah, exactly. I know, right? Um really, really sad. Really sad that we
77. 19:07lost her. Um she was she was a I would argue that the the culture, the tenor of of this group that that hangs out here every night um
78. 19:23is as generous as it is um because because of how she showed up here. She was just always positive, always always
79. 19:30full of love. Um, okay. So, I've been on a I've been on a bit of a journey and I I took a little bit of this journey the
80. 19:40other night where and this going to seem weird. We're going to meander a bit. It's welcome to chat add. That's how we
81. 19:48do it here. I might even finish a sentence tonight. Um, I've been trying to figure out when someone says what tool should I use for X
82. 20:05or if we want to put together a list of here's a list of recommended tools how do you organize them and the challenge is is that the tools
83. 20:18are getting very sophisticated a single tool probably has anywhere between five and 50 features Some of which are very specific and very
84. 20:30useful for one very specific thing. Some of which you don't know if you're ever going to use that little piece of some
85. 20:36of which are like okay but you like the other tool better. So how do you talk about that? And Silver Fox had a good idea of putting up u
86. 20:46you know doing keywords and making it you know sort of dynamic. So like you could find a video tool also
87. 20:53while you were looking for image tools because some of the video tools now do images as good as the image tools do images.
88. 21:02And so three nights ago, four nights ago, I don't know, we did um a Gemini deep research thing on this dilemma and
89. 21:10we said go off and research how we should deal with talking about these tools in this in this uh complicated environment. The example I
90. 21:23gave was um if you've seen the Bigfoot videos or the Yeti videos on Twitter or LinkedIn where it's like the Bigfoot walking
91. 21:33through the woods selling you some, you know, mosquito repellent or whatever the hell they are and someone says, "Hey,
92. 21:39that I I want to make one of those Yeti videos. What tool do I use?" And historically, what I would do is I would answer that.
93. 21:51I've been to a Renf fair. Does that count? It does. I have worked at many a Renf fair. It does not surprise me that
94. 21:59we have Renaissance fair geeks in this channel. Oh, nice. Kelly is Kelly is hawking the uh the LinkedIn channel, the LinkedIn
95. 22:12live over there. Yeah, if you're watching this on LinkedIn, um this is not your typical LinkedIn fair. uh we
96. 22:20are talking about thing. If you hang out here for many nights in a row, you will probably learn more here than than you
97. 22:28will learn uh taking some fancy ass course. However, um it's like osmosis. There's not a curriculum. It will just come in over time. Um,
98. 22:41so the the Gemini deep research on this tool thing came back with this concept called jobs. What was it? Jobs. [ __ ] I can't remember it.
99. 22:56See if I've got it here. We close that.
100. 23:27Jobs to be done. the jobs to be done framework, which that's not a good name, but what it basically talked about is if
101. 23:42if someone says, "I want to make one of those yet Yeti videos." Historically, what we do is we say, "Well, I use this video tool or I use
102. 23:50that that large language model, right?" But in almost all cases, that's not actually what happened. What what
103. 24:01happened was there was a sequence of events. There was a chain of events that happened that that you stack
104. 24:10together all of these different in this case what what they're calling jobs to be done. You're like, "Okay, we want to
105. 24:15make a Yeti video." Okay, well, do we know what a Yeti is? Do we know what a Yeti looks like? We could go Google that. We go to chat GPT.
106. 24:26Do we know what we're trying to accomplish? Do we want these videos to be funny? Do we want them to be scary?
107. 24:31Do we want them to be photorealistic? What are the If we're going to have the yetis talk, what are we going to have
108. 24:38them say? Are we saying it for a business? Do we want it to have some coherent message? Is there a target audience? Right? So, all of these
109. 24:48unknowns have to get answered. What is the what does the voice of the Yeti sound like? Does that matter? Do we
110. 24:56want to design that? What is the look and feel of the Yeti? Is that we're going to leave that up to us or up to the model? I don't know.
111. 25:05And so chains are chains of activities that when someone says, "Hey, what tool did you use to do that thing?"
112. 25:17I think there's something really powerful in saying in not answering them in not saying which tool you used
113. 25:33because maybe and I I do this here all the time, right? I'll go, "Oh, that's a cool tool or that's a cool output. Let
114. 25:41me go look at how we can make that." and we'll go to chat GPT and and I'll have sort of an idea and I'll kind of
115. 25:49brainstorm with chat GPT. Then we'll come up with a concept. Then I'll have it write a creative brief and then it'll
116. 25:56write a shitty creative brief and then I yell at it and then we'll go back and forth and then it'll write some scripts. It'll
117. 26:03sort of get the scripts right but sort of not. Then we'll turn the scripts into prompts and then we'll take the prompts
118. 26:09over to VO3 and it'll do a shitty job and then we'll be like, "Well, wait a minute. What if we took that script and
119. 26:14we did the voice in 11 Labs and then we took the thing out of 11 Labs and we put that into Hedra? Maybe that's another way we could do this.
120. 26:24That chain is way more important than whatever tool you ended up using along the way because that chain is where the human
121. 26:36contribution is happening. The trope that we hear from a lot of people talking about AI slop is that
122. 26:51especially people who don't use AI assume that how you make something with AI is you go make something with AI.
123. 27:03Push the button here. I'm going to push the button. You can make money with judging. I did it. Yay. And so I think when someone asks you,
124. 27:17"What tool did you use?" You say, "Well, the tool I started with was my brain." Huh? Yeah. I saw this cool thing and I
125. 27:30thought, "How could I do that?" And then I didn't want to just copy it. So, I actually went to my whiteboard and I I
126. 27:37drew up a couple of So, the second tool that I used was a whiteboard. I think it was invented in 196. When was the
127. 27:43whiteboard invented? Let's take a chat moment, shall we? When was the white board? I'm going to guess 1963. No, no, no. 1954.
128. 27:59When was the white board invented? Because they're going to say chalkboards. It's not a chalkboard. The
129. 28:05modern whiteboard was invented in the 50s. Bang. 1950s. The concept is credited to Martin Height, a photographer and Korean war
130. 28:19veteran who reportedly used marker on film negative to take notes and wipe them clean, leading to the idea of a reusable surface.
131. 28:31So, I started out using my brain and then I went to the whiteboard and then I went to chat GPT and I took these
132. 28:36concepts and I had and I and I help had it help me flesh them out. And then I thought, well, rather than
133. 28:43just having it write ads right away, maybe I should have it write a creative brief because I know if you give it more
134. 28:49context, it gets better. So then I talked to chat GPT for a while about a creative brief and at this point they
135. 28:56will have w the people that ask you the question will have walked away right which is good like you don't want to really talk to them anyway
136. 29:06because all they want to do is [ __ ] all over you. Oh, what'd you do? Push a button and make a video you little baby? Yeah, I did.
137. 29:16And then and then after I did the creative brief, I had it come up with some some campaign concepts. And then I
138. 29:23had it write some scripts. And then I had it describe the Yeti. And then I thought, wouldn't it be cool
139. 29:29to design a voice? And I went over to 11 Labs and we were designing a voice. And then it hit me, wait a minute, if we
140. 29:34make the scripts 8 seconds long, we can use V3 that just does the acting and the voice. It's it's just all built in. Why
141. 29:40don't we just try that? And then we went to VO3 and we put it in there. we couldn't get it to look quite
142. 29:46right, but it sounded great. And so now we're going to work on that. Or we went to V3 and we realized, oh
143. 29:54[ __ ] we actually to do this right, we need a 15-second video and we can't extend V3 videos with voice. So maybe
144. 30:02we'll use Hedra. So then we've got to go to a right. That chain of events is craft. When people talk about AI is lazy, we're
145. 30:14losing the craft. When you hear filmmakers say there's no craft in AI video, horseshit. the chain, the sequence of events that
146. 30:27Joy Pertie goes through when she has an idea for a film and then she writes a script and then she goes into one of four or five
147. 30:37different image tools and one of four or five different video tools and then she knows which of those video tools can do
148. 30:44sound effects. And if they can't, she knows she can go to 11 Labs to do sound effects. And then she can go get
149. 30:50synthesized voices and then use Runway ML's act one to take a moving video and have that moving video now say something with synced lips.
150. 31:02And then she does that and then she takes it into her nonlinear video editor, which she took a year to [ __ ]
151. 31:09figure out and learn from the ground up. And she can stitch all these elements together. That is [ __ ] craft. It is no different
152. 31:21than today's film making craft except that it's completely different. But it's a human being who has a story
153. 31:31to tell going through a process having made some mastery of some amount of tools along the way. So when people say to you, "What tool
154. 31:42did you use to make that video?" What they're effectively doing is diminishing your contribution into this single push of a button
155. 31:53so that they can stay on the sidelines and judge you as less than. of chains are really important. And I think it also gives us an
156. 32:09opportunity to say, "Hey, wait a minute. this song that was an AI generated song I actually wrote the lyrics for and I
157. 32:18and I hummed the beginning of the song into suno and then it turned it into something and it took my lyrics and then I made let me count 157
158. 32:30songs before I got one that sounded like the thing I have in my head. Wait, you made 157 songs that didn't
159. 32:40make it out of the edit booth? Yeah. Huh? I thought it was more simple than that. Yeah, cuz you don't do it. You're on the sidelines
160. 32:51[ __ ] all over people who are trying to figure out this new craft. And when you really don't know what
161. 33:00you're doing, like me, most nights that chain of events is some random meandering through the forest.
162. 33:09But then what happens is you figure out, oh, this is repeatable. If I do this, I can do this. I can do this, and I get
163. 33:18some predictable result. Well, now that's something you could actually automate or turn into an app or
164. 33:26document so that other people can do it. So, I don't know thoughts they say such silly thing because
165. 33:37they're scared. I know it's not terribly different for contemplating someone's talent versus a hard earned skill. Yeah.
166. 33:45Someone says, "Oh, you're talented." No, no, I worked my ass off. I've taken two and a half years to figure out how to
167. 33:50stitch together these [ __ ] janky ass tools that some work half the time maybe if you're lucky and good.
168. 34:04This is not a magic button. It is not. Wait, who's having Korean barbecue? Joy Birdie. Okay, Korean barbecue is one of my
169. 34:18favorite foods when I was doing agency.com. So, my um my co-founder of agency.com is a Korean dude named Chan
170. 34:26Sue. And so whenever we would like win new business or I don't know wanted to celebrate, we would go down to
171. 34:3532nd Street in Manhattan between Fifth and 6th, Little Korea and oh my god, we would we would eat at New Wanjo or if we
172. 34:46wanted to get fancy, we would eat at Wule Oak on I think it was on West 47th. Was it 47th? Yeah, I think so. It burned down.
173. 34:57It was amazing, man. [ __ ] Korean barbecue is the best. Anyway, I don't know if you heard me, Joy. I was I was I was uh
174. 35:08invoking your name here about realizing that that we should stop talking about tools. I use this tool to make this thing.
175. 35:23We should talk about the the chain of events, the chain of tasks, the combination of human ideiation, curation, taste,
176. 35:35persistence, creativity, mastery of these tools that are changing on a weekly basis.
177. 35:51That's That's it. See, being told you're so smarter. I could never do that. Yes, you can, but it's not easy. Yeah.
178. 36:04Yeah. It's you you know Pate it's you know I think I think about engineering and and it's like you know engineering and storytelling
179. 36:14and film making are all just series of tasks and and there might be there might be things in there that that require specialty
180. 36:25knowledge but especially with today's tools you can figure out all the individual steps but it's having the passion for the process
181. 36:34is what makes a good engineer, what makes a good storyteller, what makes a good filmmaker, what makes a good
182. 36:39artist, what makes a good educator is that chain of events. And I think because we we've gotten so seduced, myself included, we've gotten
183. 36:53so seduced by the tools that we want to say Chad GPT did this. No, you did that with chat GPT.
184. 37:11But what was the actual chain of events? How many iteration how many how many times did chat GPT give you a result
185. 37:24that was so bad that you're like, I've got to try a different tool. Then you went and tried a different tool and it
186. 37:31couldn't do it either. But it gave you an idea for how to go back to chat GBT. Oh yeah, maybe I should use a different
187. 37:37model. Yeah, let me try a different model. That's not quite right, but it's close, right? That's all day every day with AI.
188. 37:46That process is craft [ __ ] craft. Anyway, um I'm feeling good about this. I've used both creative thinking and and this
189. 37:57is um Chef Kelly. I've used both creative thinking and analytical thinking more in the last 18 months than
190. 38:04I had in 15 years. Yep. Me too. Me too. I talk about this all the time that my brain has changed with AI.
191. 38:16And one of the things that I talk about is um the positive reinforcement you get from large language models that are
192. 38:24trained to be nice to you that when you put an idea in there, it's like, "Hey, great idea. Oh, thanks." You know, don't mind if I do.
193. 38:33They did call me clever in college. So tick tock pit. It's like saying you didn't build that house. The hammer did. Yeah. Exactly.
194. 38:48Exactly. Yeah. How'd you build that house? What tool did you use to build that house? Oh, you used a hammer. Yeah. Yeah. I mean,
195. 38:57hammers are simple. You just It's you just do this. I've I've hammered things before. Yeah. I made a house with hammers
196. 39:05before. Yeah. I I mean it was a doghouse, but you know, but I used a hammer. Do you use a saw, too? Yeah. Yeah. Yeah. I mean, saws are good.
197. 39:17You the Did you do the H or the H? Oh, you Oh, nice. I didn't realize you were fancy. But that's a nice house. No, you
198. 39:29wouldn't talk about how'd you build the house. Well, I've always wanted to build a house. So, I went out and I learned about wood
199. 39:37and I learned about how you pour concrete and I learned how you dig holes and I learned why you did all that. Oh,
200. 39:45and then what'd you do? I figured I didn't Who knew how you got concrete? I didn't I saw cement trucks. I didn't know where you found them.
201. 39:54So, I went and I found cement truck guys on in the yellow page. One of the yellow pages. It's a thing old people use. Oh,
202. 40:03then what'd you do next? I found a guy named Bucky who'll bring you a a truck full of cement and he'll pour it in the
203. 40:10hole you put in the ground. Oh, right. Joy Pertie, 30 years as a a sleep analyst,
204. 40:29has stories to tell. doesn't have a degree in cinematography, doesn't own a film camera, doesn't know editing,
205. 40:40starts playing around with image generating tools. She's like, "Huh, I can get these ideas I have in my head
206. 40:47out in a way I never could." Huh. I wonder if you can make them move. Oh, here's a tool that makes images move. Huh.
207. 41:01Wonder if I could get him to talk. Right. So, so Joy over the course of six, eight, 10 months, a year, two years
208. 41:11is figuring out how to build her house, figuring out how to tell her stories that have been in her head for most of her life.
209. 41:24And then she puts a film out and someone shits all over it and says, "Oh, it's AI video. That's worthless, you thief.
210. 41:39You just pushed a button." No, she didn't. She had to live her life [Music] to be able to inform the stories. [Music]
211. 41:54that motivated her enough to dig through these shitty, janky, [ __ ] up tools in a in a series of unlikely events
212. 42:11that she could just do at home at the dining room table instead of having to go raise half a million dollars. and she could tell her stories
213. 42:25and is telling her stories. [Music] So chains
214. 42:39chains are important. There ain't nothing easy about blacksmithing. Yeah, exactly. My whole life I could never paint, draw,
215. 42:51make a good photograph, sculpt, design. And now she can anything. Anything. This is this is my absolute conviction.
216. 43:06I think this is the reason I'm most excited about AI. All right. Who How many people we got here? Got a handful of people. 36 people.
217. 43:19I want you to think about in your life. Maybe even close your eyes. We'll do one of those close your eyes exercises. I
218. 43:29want you to close your eyes and I want you to think about something that you know that you know you're no good at.
219. 43:45And I want you to think back and see if you can go back in time to the moment where it became clear to you that you couldn't do that.
220. 44:02Was it that you shared a drawing to the girl you had a crush on and she laughed at it? Was it your mom telling you you weren't
221. 44:12talented? Was it a teacher telling you that you should really go into accounting? Think back to that moment
222. 44:26where you put yourself into a kind of purgatory with that particular thing. Because if there's a thing that you know you're not
223. 44:39good at and it's kind of painful that you're not good at it, that means that's a thing that you've wanted to do for a long long time and
224. 44:49you know deep in your soul you can't do it. Guess what? AI lets you do it.
225. 45:09You can draw, you can make music, you can do science, you can do math, you can do programming, you can do business strategy, you can do
226. 45:16marketing. You can write scripts for Tik Tok, a Tik Tok channel. You can do animation. Anything. Anything. Anything.
227. 45:32Yeah, but I'm not good at No, no, no. Anything. And it's going to get better and better and better and better and better and
228. 45:41better. And so a thing we get to do now, which is really the first time in history that this has been possible, we get to
229. 45:53say, "Okay, life world, I know that I'm not good at this one thing, but if I were, if I could do that thing, if I could
230. 46:06draw, if I were better at songwriting, if I were better at coming up with a business plan. You know the thing I would do that's our job.
231. 46:21Tik Tok pin that would have cost me tens of thousands of dollars in probably 18 months. I did it in 10 weeks. I don't
232. 46:32know what you did but yes that kind of thing is possible. Joy Perie when she was asked I I might have asked her I because when I saw the
233. 46:44first the first film I saw from Joy Pertie was the one she did for the salon. I think I might have seen one before that but whatever.
234. 46:52But it was so good and it had such good film craft in it. I'm like clearly you've got a film background. No,
235. 47:06but I've always had stories I've wanted to tell, just never been able to tell them. Holy [ __ ] So, I would encourage you to think about
236. 47:17what's that thing for you? What's that thing that you've denied yourself your whole [ __ ] life? Because, you know, it pains you.
237. 47:33you're [ __ ] crushed because you're not good at that thing. And then like literally just ask yourself the hypothetical, what if
238. 47:45that weren't true? What would I do? And and what I would do if I were you, if you have an answer to that, I would start it tonight.
239. 48:00Well, but how do you start it? I don't know. I don't know what your thing is. Is it I've always wanted to make a video game.
240. 48:08You want to see something fun? [Music] Motorcycle. Put this down. Um,
241. 48:23my fave. Can you see what I'm doing here? Let me make this bigger. My fave
242. 48:38video games are old school trigger twitchers. I hate sim games. I loved
243. 48:54asteroids and centipede. and Missile Command, you know, the good games.
244. 49:12I want you to come up with five new video game concepts
245. 49:29that pay homage to the 80s arcade games, but will be relevant for a current
246. 49:45gaming audience and have nostalgia points for the Gen Xers.
247. 50:03All right. You've always wanted to make a video game your whole life, but you're not good at programming. You weren't good at
248. 50:13math. You applied for Stanford and they told you that your scores were too low. You were an idiot. And so you do your spreadsheets or you
249. 50:26do your marketing or you do the thing that pays the bills. And then moments of weakness, three whisies in, you're like, I had an idea
250. 50:35for a video game once. It could have been so big. But then daddy told me he wouldn't get me a Timex Sinclair and I couldn't learn
251. 50:45basic programming. Give me another drink. Debrisfield, a spiritual successor to Asteroids, where you're a salvage pilot
252. 50:58in a cyberpunk future. Instead of just blasting blasting rocks, you're harvesting valuable tech from floating
253. 51:04space junk. Neon Swarm. Think Centipede meets Tron. You're defending a city. That That one sounds cool. Sky Shield
254. 51:12Protocol. Fractal Fighter. Vector Storm. You know what? Neon Swarm it is. Um, my daddy told me I'd never be a
255. 51:28programmer and wouldn't pay for me to go to Stamford and ruined my life
256. 51:43and now I sell carpets. But all I wanted was to make video games.
257. 51:59Make me neon swarm. It sounds awesome. Awesome.
258. 52:13Awesome. And the first person I am going to have play it is
259. 52:27daddy. Play it is daddy. I don't know why this took such a dark turn, but this is life. Like life is [ __ ] up like
260. 52:36this, right? We've all got that dark place. That dark the dream died sometime probably between when you were five and seven.
261. 52:46That's the time in life where you realize that life is dangerous. It's when you start shutting down that
262. 52:53part of you, the joyous part of you that is only possibility. You start shutting it down then. And most of us go through our whole life
263. 53:04living that reality. The choice that a five-year-old make made is what's driving our life today. So no more. So daddy told you wouldn't
264. 53:15send you to Stamford even though he had the money [ __ ] Watch this. I'm suing my stepdad with the help of AI. Perfect. There you go.
265. 53:30[Laughter] I'm going to make you What did it say? Um, I'm going to make you an amazing version of Neon Storm. Swarm that'll
266. 53:40show your daddy exactly what you're capable of. And look at this. You didn't You said you couldn't code, right? You
267. 53:46weren't smart enough to go to Stanford or MIT. Well, you're coding now, right?
268. 54:05Let's create something that captures that classic arcade magic with a modern cyberpunk twist. So, I don't know what it's doing. I
269. 54:13don't care. It's doing more than I would have ever done. Now, if you're someone like Pate, who is an
270. 54:28actual smarty pants with a PhD in I think computer science, mathematics, something I don't know.
271. 54:45You do care what this code is and you want this code to be good and a lot of times it's not. But in his chain of events, he can
272. 54:54figure some stuff out. Okay, how does this work? What are we supposed to do? Hack firewalls to change them. Arrow keys move. Spacebar fires.
273. 55:07Okay, there you go. Complete fully playable version of Neon Swarm. This isn't just a demo. It's a real game with professional polish.
274. 55:14All right. Arrow keys to move. Spacebar to shoot. Shift for overclock mode. R to restart. All right. So, how do I start?
275. 55:27Oh, I just fired something. Wait. Oh, okay. I got it. Look,
276. 55:41that's pretty good. Doesn't have any sound effects, but it's actually pretty good. It's like Space Invaders. This is like Space
277. 55:54Invaders meets the like the speed of asteroids or centipede with the sort of mechanics of Space Invaders. This is pretty cool. This
278. 56:04kicks the [ __ ] out of Space Invaders, quite frankly. The little the little uh centipede thingies are uh a little too slow, but damn
279. 56:20damn that traffic jam. So, guess what, Daddy? You want to play the video game I just [ __ ] built? Son, you're 54 years
280. 56:28old. Why are you making video games and wasting everybody's time? Cuz, dad, it's all I ever wanted to do in my life. I
281. 56:34work at your stupid [ __ ] carpet store. But not anymore. I'm a game developer now. Look at my game, Dad. By the way, I don't code.
282. 56:49I have a degree in acting. It was only acting. There's a shocker. Oh, he's an actor. That explains more more than I
283. 56:56wanted to know about this channel. How good is this game? It's I mean, it's a little easy, but like I love how flipping fast it is.
284. 57:13All right, let's see. Um, okay, this is good. But nothing is shooting back. And the red
285. 57:28centipede things are really slow and easy to kill. And
286. 57:44there is no audio. Come on, man. The sounds are everything in a game like this,
287. 57:58right? Right peoples. Space Invaders visits asteroids.
288. 58:16Dang, look at that long code. Like chat GPT has daddy issues. I'm actually on Claude. This is Claude. Season two of Daddy's Last Game.
289. 58:32Oh man. Anyway, questions, thoughts. So the reason to start thinking about chains, chains of activities
290. 58:47is that if you've got those things in your life where you're like, I can't do that one thing, you'll think about a chain of
291. 58:55events and then you'll get to that blocker. Oh, I've got to do programming. Yeah, I'm not a programmer. I can't
292. 59:00program. I didn't go to Stanford. And you won't pursue it, right? And historically in life, I think whoever
293. 59:08said it here, historically in life, you've got you got to put in 10,000 hours to be able to acquire a skill to
294. 59:15get over that hurdle. And if you've got that mental block like I cannot do that thing, I will never be able to do that
295. 59:23thing. 10,000 hours isn't enough because you need 10,000 hours of therapy on top of 10,000 hours of skills training. But now
296. 59:38what if you could just do [ __ ] Oh, well then I've got a whole lifetime of ideas of things. I said, "Boy, if I
297. 59:48would have gone to Stanford, here's what would have learn what I would have done with my life." Right? We all have a
298. 59:56brain full of those ideas. This thing is now refactoring our game, redesigning it. Is this Are we good? Are
299. 1:00:06we here? Come on. Are we done? Yes. System breached. Press R to restart. Okay. R. Wait. Click. R. R.
300. 1:00:17Wait. Daddy's gonna be Daddy's gonna say he's right. I was a jerk. Press any key to enable audio. Uh, system breached. Uh, game isn't
301. 1:00:33restarting after system breach. message. Yeah. Where I am right now is I'm in claude.ai. And this thing over here is called an
302. 1:00:48artifact. So you you do your chat over here in this window. And then over here you got your code. Uh oh. Wait. What's going on? Okay.
303. 1:01:01And it's it's fixing the code. It's doing the code [ __ ] Uh uh. Hang on.
304. 1:01:24Yeah, this is better. It's actually kind of enjoyable. Okay, except first of all, daddy can go [ __ ] himself.
305. 1:01:38I'm a good programmer. I'm a good game designer. Daddy, look at this. Well, that's not bad, son. I always
306. 1:01:45thought you could do that if you just put your mind to it. You wouldn't send me to Stanford. Oh, sorry. I was a little drunk that
307. 1:01:54day. What? Yeah. If you'd asked me the next weekend, you probably could have gone, "What? Really? Do you love me?"
308. 1:02:06That's how life is, you know? I remember I did one of those with my father with my stepfather where I went
309. 1:02:14and I did the the forum which you know landmark forum and one of the things I realized is that my stepdad
310. 1:02:26would make me go to my room before he got home. And so every night I would hear like him and my mom watching TV and having fun
311. 1:02:35and I would have to kind of sneak out and get some water. It was al it was very sad, right? And I realized I did this at like 35. I realized
312. 1:02:47that that little boy that was sent to his room was who was controlling my life when I was in my 30s. I was like, well, that's [ __ ]
313. 1:02:59ridiculous. like why is why are the rules that were set up by this seven-year-old, you know, put in his room by his stepfather.
314. 1:03:11And so one of the things you do is you call and you talk to people about [ __ ] And so I called my stepfather.
315. 1:03:17I said, "Hey, I just want you to know I kind of [ __ ] up my whole life here sort of living by these rules where you
316. 1:03:25made me go to my room every night." And you know what his response was? He was He was like, "What are you
317. 1:03:34talking about?" I said, "Yeah, every night, you know, I'd get sent to my room because you were coming home and then
318. 1:03:41I'd hear your car sort of rumble down the street and you'd pull in and then I just live my life in my room." And he
319. 1:03:46goes, he goes, "Every night when I got home, you were already you're already in your room. I didn't He It wasn't him. It was my mom.
320. 1:03:59My mom was doing it to protect him from having to deal with me and to protect me from having to deal with him.
321. 1:04:09So I lived like 25 years of my life blaming this man for his evil motives that he had no [ __ ] clue about.
322. 1:04:25That's life. So now AI has the possibility of freeing you from some of those shitty decisions you made when you were seven.
323. 1:04:41Oh man, I'm making that de debris field one with Gemini right now. Oh, that's awesome. That's awesome. Awesome.
324. 1:04:48Awesome. Awesome. Um let's I'm gonna make this a little better and then I'm going to publish it. Let's do uh this is really good now,
325. 1:05:01but let's build some tension where the firing worms
326. 1:05:17should not be read to start. That should be saved for higher levels
327. 1:05:32and should fire a little more slowly slowly. Also, the static
328. 1:05:47square blocks should be more like uh like flying
329. 1:06:02or like floating space ships. Maybe
330. 1:06:16a nod toward space invaders. They should also move and slowly
331. 1:06:32descend to increase tension and risk.
332. 1:06:49The boss versions of them should also fire. All right, so we'll just add a little more gameplay in there.
333. 1:07:01I like philos philosophical catharsis lives. Thanks for sharing that, Kyle. Perception is reality for many many of
334. 1:07:09us. Exactly. Listen for all of us. Joy, this is life. I'm not I'm not passing any judgment on anyone who's every every single human being
335. 1:07:23at some point in their childhood decides that the world is dangerous and they shut down part of themselves.
336. 1:07:31And some welladjusted people manage through that quickly. And some people never are even aware that they made that choice back then.
337. 1:07:40And most of us are spending our lives struggling between what's real and what's not. What is actually possible
338. 1:07:46and what we've told oursel is or is not possible. So like when I when I you know
339. 1:08:01to say that I have you know drunk the Kool-Aid on AI is an understatement right? I think this is this is a a series of
340. 1:08:12the most profoundly powerful technologies in the history of humanity and really has the the power to release
341. 1:08:27anyone who uses it to release their potential. And I just I can't overstate how profound that is.
342. 1:08:44But it's not about it's not about AI's over here being the genius, right? To do AI right, it's not the genius. You're the genius.
343. 1:09:00and and the ideas that you have and the things that you want to put into the world are the genius and you kind of strap AI on like a jetpack
344. 1:09:13and you go, "Okay, I want to do this thing, but I know I don't know how to code and I know I'm not smart enough to do
345. 1:09:20the math to figure out how the bullets should go, but I'm going to try it. And here we are.
346. 1:09:35What's this thing doing? I don't know. Do I care? I don't care. Someone else might go, "This is amazing that this is
347. 1:09:45doing this. I want to use the fact that this is doing this to learn how to do what it's doing. How is it doing? What
348. 1:09:52do all these things mean?" Well, go figure that out. That's pretty cool. Oops. I gotta move here, people. Oh, yeah.
349. 1:10:05This really good now. We have a good game. Yeah. Uh oh. Uncut error. Console message. Copy. Put that over here. I just got an
350. 1:10:25error. And then I'm going to put also there is a weird yellow line on the lower
351. 1:10:44left of the play field. That should either do something or or go away.
352. 1:10:59All right, building right along with you. Jim Ross. Yes, I use this time to play with AI. So Jim Ross is another person in here who
353. 1:11:10I don't know what switch he flipped in his head, but at some point early with this AI stuff, he just decided
354. 1:11:19every new thing that I learn I'm going to try to apply to my business. like literally every like I would be
355. 1:11:26surprised if Jim Ross right now is not making some sort of video arcade game about um self- storage management owners
356. 1:11:35trying to manage boxes falling from a storage unit or something like that. He's in the self- storage business. He
357. 1:11:43is he has like fully given himself over to huh maybe these tools can do something cool for me and my business and it has
358. 1:11:54absolutely transformed his business his life his marketing. He's now giving keynote speeches about AI in in the
359. 1:12:02industry. He's known as the AI guy. And I think I mean you've said it before Jim he's he's you know he feels like
360. 1:12:18he's operating like a 10person company at this point and he's not. He's just him but he's him augmented with AI.
361. 1:12:34I love infinite I love infinite bullets. This is so good. All right. It's It's a little non-challenging at this point.
362. 1:12:53So, what's shift? Shift is overclock mode. Oh. Oh, wait. Where did I go? System breached. R to restart. R. Okay. Uh oh. What just happened?
363. 1:13:13Okay, we got to do one more thing. Okay, this is great now. But hopulate the screen
364. 1:13:29with more descending objects. Starting
365. 1:13:44lower in the frame so that not everything is
366. 1:14:00falling from the sky. It makes it too easy to kill everything before it drops lower.
367. 1:14:18Let's see if it understands what I said right there. All right. What software are we using tonight? I'll tell you what
368. 1:14:24we're using there. What's your name there? Blah blah blah blah blah blah blah blah. So listen blah blah blah blah
369. 1:14:31blah blah blah. Tonight we're using Claude. Now Claude is one of them. They're what they call a it's a large
370. 1:14:38language model. It's like a chat GPT except it's Claude and it's Claude.ai. And then we went in there and we said,
371. 1:14:45"Hey, listen. Daddy kind of [ __ ] up our life and I like video games. I always wanted to make video games, but
372. 1:14:52daddy wouldn't let me go to fancy school because he was drunk one night apparently and I could have gone, but I
373. 1:14:58didn't have the guts to just speak up again. So anyway, but that's not sad. Anyway, whole point is I just said to
374. 1:15:05Claude, "Come up with some video concepts, video game concepts for me, and I want to make a a good video game.
375. 1:15:11I'm going to show daddy that I made a video game." So that's what we're making. And then it just broke the code
376. 1:15:16and just made a game that we can play. So, if you've not played with Claude before in artifacts, it is pretty stunning. Yeah, it's good.
377. 1:15:40Wait, what happens if I if one of those Yeah. Yeah, I saw it. I saw it there, Brandon. I talked about it. Never met a
378. 1:15:50person didn't didn't have some childhood baggage. Even perfect ch childhood leave scars. Yeah, this is this is the the
379. 1:15:56childhood stuff I'm talking about is no commentary on anyone's parents or on them. This is one of those life things that
380. 1:16:09you learn at some point in your life that sharing who you really are is dangerous in some way. It's dangerous socially.
381. 1:16:22It's dangerous physically. It's dangerous emotionally. And in that moment, you make choices. Ah, I get it. when I sing show tunes
382. 1:16:35as a little boy in this house. That's not good. Let me not do that ever again. Right. You you make those calls
383. 1:16:45um very often. Well, I think everyone makes, you know, at least one of those in their life, probably, you know, dozens.
384. 1:16:53So, and I think I think AI really does have the the the possibility to free people from that [ __ ] prison. [Music]
385. 1:17:07or to restart. This is actually a good game. All right, so let's publish this. You want to go play my game? Okay, publish.
386. 1:17:22Boom. Anthropics usage policy prohibits use of cloud for harmful use cases like violent, abusive, dis deceptive content.
387. 1:17:33This is kind of violent because the space things are coming to get us and we're going to shoot them out of the sky.
388. 1:17:39Uh, publishing this artifact will make it accessible to everyone on the internet. Publish and copy link.
389. 1:17:47Copy link. Okay, published. So now I'm going to go over to the AI salon. If you haven't been to the as salon, go over here and
390. 1:17:58I'm going to put this in. Look what I No, I'll put it near regulars. So, over at the AI salon, go there and if
391. 1:18:05you say click on if you click on the button that says join our community, that'll take you to this site. This is
392. 1:18:12our community site. And down the left hand side here, there's an area called clubs and hubs. and go to the irregulars
393. 1:18:18and I'll say here is my what was it called? Neon. Neon what? Neon. Neon.
394. 1:18:36Okay. Yeah, look at that. No safe moments. Neon swarm. Here's my neon swarm video game I made
395. 1:18:56to avenge that moment. Some fictitious
396. 1:19:11daddy told their son they could never write code.
397. 1:19:29Screw daddy. It's pretty good. I like it. Okay, there's that. Do we get a preview? No, we didn't. No. Okay, fine. Let's go do a
398. 1:19:43screenshot of our little game, shall we? Published. Can we go see it? How do I get to it? Oh, copy link. Go to
399. 1:20:00That's not how you spell moment or fictitious. Five. All right, there's our thing. Let me go fix my spelling because producer
400. 1:20:15Brandon's going to yell at me. So, let's Oh, do I have to Can I paste this image? No, of course not. Date. If you remove the preview, it'll
401. 1:20:30let you paste it. Oh, it will. Okay. It's not how you spell video either while we're doing We're there.
402. 1:20:39No, it didn't let me paste it. Damn it. Is this our game? Where's our game? No. Too big to look. No. Where did I put it? Is it here? Yes.
403. 1:20:55Is that clip where we'll do this to desktop? Boom. All right. Go back here. Go here. Desktop. Oh, wait. So, screenshot.
404. 1:21:16There's our game. Open. Okay. Neon Swarm video game. Okay. Here is my neon swarm video game with the D I made to avenge that moment.
405. 1:21:32That's not the right letter. Some fictitious. Yes, daddy told their son they could never write code.
406. 1:21:48Screw daddy. All right. Boom. Thank Thank you, Brandon. I'm so proud of you, son. Now you go. Go tell daddy to play
407. 1:21:57your little video game. Bang. Bang. See what I'm happening? See what's happening here? [ __ ] Bishop just become number became
408. 1:22:07number 18 in the fan club. If you're not in my fan club on TikTok, what are you doing with your life? Be like [ __ ] Bishop.
409. 1:22:18Why is he swearing so much? It's just the guy's name. Okay. Not flipping bishop. All right. Let's play the game. R R
410. 1:22:36Oh, wait. These things hitting the hitting the ground should do something. That should be bad.
411. 1:22:56It's a good game. It's good game, people. Now, let's go back to the where we were at the beginning. What's the chain of
412. 1:23:10events? What's the chain of events? Well, we got to talking about things we didn't think we could do in our life and maybe
413. 1:23:24programming was that thing for you. Then we thought, huh, I heard that AI can help you code things. If you
414. 1:23:33don't know how to code, AI can help you code things. And so, we knew enough about AI that we thought Claude's pretty
415. 1:23:41good at that. It's got this thing called artifacts where you can let it code and then it can turn it into an application
416. 1:23:47that you can actually share with the world. And so in less than I don't know what that was, maybe 45 minutes, probably 35
417. 1:23:58of which were me just whining and rambling in about 10 minutes of actual work time. We came up with five video game
418. 1:24:12concepts, built and published a video game. That's fun. Is it perfect? No. Could I have written that if I wanted to?
419. 1:24:28Not in that amount of time. Pretty impressive, right? You have to upload an image, not paste it. Um, let me go to irregulars. Lower here
420. 1:24:40in irregulars. I think Steo put something in. Just me doing what? Feel the quality, young lady. Oh, the carpet salesman.
421. 1:24:56Y'all are funny. Oh my god, that's funny. Steo, look at Oh, that's cute. I love the little mushroom house. Me and Champy up on the
422. 1:25:04roof. Nice. Like it. All right. So, there you go. Go play my video game
423. 1:25:18and or be like Jim Ross. You should be making one. Use this time. So, if you're new here and and you're befuddled,
424. 1:25:28if you're discombobulated, you're like, I don't I don't get this channel. It's kind of entertaining. It's kind of
425. 1:25:36educational, but it's really neither. This channel isn't about me. All I'm doing here
426. 1:25:50is creating space for anyone who shows up to be in the conversation about AI as a possibility. What does it make possible? What does it make
427. 1:25:59possible? Huh? What if I go try this? What if I go try that? Oh, that makes sense what he said there. Yeah, let me
428. 1:26:04go try this. Let me go try that. Hey, does anyone have any experience doing blah blah blah? Maybe I should go join
429. 1:26:10the AI salon and help. And right, that's what this is about. So, the reason you come here is to be in the conversation.
430. 1:26:21Jim Ross is one of those guys who's like he comes in here just fully open to ah yeah I I kind of enjoy Kyle's stupid
431. 1:26:30jokes and I'll as soon as he teaches me shows me how to do something I haven't tried before I'm going to go do that
432. 1:26:36right now right while he does it changed his
433. 1:26:51So that's what this is about. All right, I'm going to get out of here. And a lot of laughs. What better way
434. 1:26:59than Frogger than that Frogger one with the logs from a while back. Yeah, exactly. Oh, way better than that
435. 1:27:06Frogger one. Well, yeah. You know what? You know, it's funny, James. This We're now at Claude 4. the the Frogger game
436. 1:27:14was was Claude 2.5 or three. Then we tried it again with Claude 3.5. This is now Claude 4. So the the quality of the
437. 1:27:23video game here is just better. Just the the tool is better, right? More sophisticated. Like if I wanted to
438. 1:27:32put real time into this game, I'd probably spend another two or three hours on it and really [ __ ] dial it in. But can you imagine that
439. 1:27:46we now live in a time where someone like me who's got no coding skills, moderate tech and project product management skills, moderate
440. 1:28:00interface skills, good conceptual skills, someone like me can actually say with a straight face, if I really wanted
441. 1:28:09to put in more than half an hour on that game. I could make it really good in like three or four hours, two or three hours.
442. 1:28:17And I know that to be true. This is science fiction. We live in science fiction. If you come here a lot, I know we kind
443. 1:28:30of normalize the remarkableness of the era we live in, but remind yourself how [ __ ] lucky we are that we get to live
444. 1:28:38in a time in history where the knowledge of humanity that's come before us has been compressed into a softballsized
445. 1:28:49sphere that we can just tap into. The brilliance of image makers and music makers and coders and writers and
446. 1:29:01business people and psychologists and academics and people into animal husbandry and plant genetics. All of that is now at
447. 1:29:13our fingertips. All of it. All of humanity instantly available. Anything you thought you were not good at is no longer true.
448. 1:29:25What are you going to do with your life? All right, that's it. I had the programming schools with Forran 4 typing
449. 1:29:33it on cards and feeding them in into an IBM card reader. So, James, that was I I was going to either go into theater or
450. 1:29:41computer science. And I said, I got to go into computer science. It's the responsible thing to do. I walk into my
451. 1:29:47first computer science class. I walk, it's a room full of IBM 3870 mainframes. And this [ __ ] dweeb dweeb nut walks
452. 1:29:55out of the back room with like big thick glasses. It's like like these glasses. He walks out. He walks out and he's
453. 1:30:04holding a stack of punch cards this tall. He goes, "This is a computer program. Each card represents a single line of code which
454. 1:30:14is encoded in 80 characters across the and he said you're going to stick this stack of cards in this reader and it was like
455. 1:30:25reading the cards. The card's just slowly going down [Laughter] and he goes and and it will run the computer application and the computer
456. 1:30:36application generally is analyzing data in the stored on magnetic reels and and we're running reports to analyze that
457. 1:30:45data and we're outputting that on these large printers. I was like I was like, "Uh, yeah, no, that's not going to be my
458. 1:30:59life." So, I walked I walked out of that class and down to some guidance counselor's office. I say I said I'd
459. 1:31:08like to change my uh major to theater and uh I'll do a minor in computer science, but that ain't that ain't going to be my life
460. 1:31:20because all I knew about computers was that's how you made video games. I didn't know [ __ ] about Forran and
461. 1:31:27corporate computing. I had no [ __ ] interest in it. So anyway, all right, I'm gonna get on out of here. Um thanks.
462. 1:31:34Hope you hope you guys had fun tonight. I really want you to think about stop limiting your own thinking and
463. 1:31:43catch it when other people say, "What tool did you use?" And talk about the chain of activities that allowed you to produce a something
464. 1:31:54that someone asked about or if I want to make one of those, what tool do I use? Well, it's not a tool. It's a whole
465. 1:32:01process, whole chain of things that has to happen. And some of them are just me and some of them are a whiteboard and
466. 1:32:07some of them are chat GBT. What are you talking about? Right. Um, so since Friday is the 4th of July, tomorrow night is going to be Thursday
467. 1:32:19night date night. So we'll be here tomorrow. Um, but but I'm not going to be here Friday. Gabby's got an art show
468. 1:32:27opening. It's the 4th of July. just whole bunch of [ __ ] going going on. So, tomorrow night 8:00 here, be here or be square.
469. 1:32:40If I did something that rhymed with here, I'd probably get lifetime banned from Tik Tok. Um, oh, good lord. All right. Um, yeah,
470. 1:32:54that's it. I'm out of here. Um, trying to think if there's anything else. No. Join the salon. Keep coming back to these. Do me a
471. 1:33:03favor. How many folks are here? I got 46 people here. I got 31 over there. Here's here's a request. I don't ask
472. 1:33:13much of this community, but here's my request. If you know someone that used to come to these that has stopped coming to these
473. 1:33:21or if you know someone who you think would benefit from getting their head around AI, invite some new people to this.
474. 1:33:32I'd like to start expanding this and growing it. And I haven't been paying any attention to that. And much to the
475. 1:33:40just chagrin of producer Brandon who's been really trying to to get it get me to do stuff. Um I want to start working
476. 1:33:46on that. I want to I want to start expanding our footprint. I think what we're doing here is actually important
477. 1:33:52and as irreverent as I am with this stuff, um I'm deeply deeply passionate about it. So, if you would be so kind,
478. 1:34:02um bring a friend. Tomorrow's Thursday night date night. Bring a [ __ ] date. Um the date won't last that long.
479. 1:34:11They'll probably leave early, but um but do that. I'd like to start to get this out to some more people. All right,
480. 1:34:18cool. All right, have a good night and I will see you on tomorrow.