5/6/2026 - How to Use the New ChatGPT Image Model as a Powerful Visual Reasoning Engine

Transcript

1. 0:35Good evening. Good evening. Good evening. Happy Wednesday, everybody. Happy AI learning lab live. We are live right
2. 0:46here in the AI salon. I appreciate you all. I see you all. I see who do I see? I don't see anyone right now. Um, do me
3. 0:54a favor. Comment. Oh, wait. people. Do I see people? No, I just see producer Brandon and myself. Do me a favor. If
4. 1:01you can comment in the stream um or you can comment over in the in the AI salon in the uh AI learning lab, the
5. 1:09irregulars uh chat. You can talk in there. You can post things into the post. Frost Bitten's in the house.
6. 1:15Andy's in the house. Producer Brandon's in the house. Um welcome to the AI learning lab. Uh I am your your everpresent overexposed
7. 1:28um uh host of the AI learning lab and uh and I'm excited to have you here. So tonight is Wednesday. So, tonight we're going to do stuff and
8. 1:42I'm excited about this because I am, as as much as I like making images and playing with image tools and things like
9. 1:50that, we're going to play with with uh with Chat GPT's new images to model, which is a visual reasoning engine. And
10. 2:01it's it's an image tool, but it's a lot more. So, we're going to I I really want to spend the next hour and a half, two
11. 2:08hours pushing the boundaries of what this thing can do, figure out what it can do. Um, I was talking to someone
12. 2:15today. Um, I was on a panel up in Boulder at Boulder Startup Week and one of the guys on my panel, Gus, I said,
13. 2:23"Hey, have you played with the new images 2 model in chat GPT?" He's like, "Yeah, look at my website." And he he
14. 2:28showed me these images on his website. And then I showed him some of the things that I've made with it in the past 2
15. 2:35days and he's like, "Wait, what? It can do that?" So, like, even people that are playing with it don't actually know
16. 2:40what's happening with it. Kelly Cam, thanks for the lovable class tonight. Brandon. Oh, yeah. Brandon, hey, you
17. 2:46want to you want to hop up here and and uh catch me up? Tell me how the first evening went. I don't know if you can
18. 2:52talk right now. You might be chasing the tidbits around. >> Yeah. No. Uh, it was really good. It was a really great session. Uh we recorded
19. 3:00all of it. We put we're going to put all of it up for masterminds for anybody who couldn't join us live. >> But uh we built nothing
20. 3:07>> because the whole part of this course is starting with intention and really thinking about what you want to build
21. 3:14and get really serious about who you're building it for, what problem you're trying to solve. The vibe coding stuff
22. 3:20is easy. It'll come later, but we really want to be intentional about what we're putting out there in the world. And so
23. 3:26today's session was all about that. >> Okay. I that that is radically unsatisfying for me as as an ADHD
24. 3:33immediate gratification guy. But like one of the thing one of the things that I am learning as these tools get more
25. 3:40complicated and more sophisticated and you start using things like openclaw these agentic tools that are going off
26. 3:46to do stuff is when I don't actually know what I'm doing and I don't know what I want it's just a waste of time
27. 3:54you know and so I think that's huge. That's well and it's part of the mastermind, right? So the whole idea of
28. 3:59the mastermind, if you're not a part of the mastermind, is for people that really want to level up their game. And
29. 4:04so what Brandon is going to teach you at some point apparently is how you can make applications even if you're not a
30. 4:09coder. But the master the leveling up part of this is exactly what you're talking about. That's awesome. Um, what
31. 4:14were the were do do you sense that that people in there have used lovable? Like what were the questions like? Where
32. 4:21where are people right now? Yeah. So, almost everyone has at least used Lovable because we are all forward
33. 4:30thinkers and on the bleeding edge of this stuff, >> experimenters, adventurers. >> Uh Claire and I are Dr. Jay and I are
34. 4:37competing for a poll position. We've both produced 30 lovable apps over the past year and a half. So, good.
35. 4:43>> We're neck and neck. And uh so most other people are like, I I tried it once. And so there's a lot of ideas and
36. 4:51questions around am I doing this right? Like I'm just talking to it. Is that am I doing vibe coding right? Is there a
37. 4:59whole another level of this that is beneath that? So we got into some of that of making sure that how do you go
38. 5:06from good to great? How do you go from a flashy facade into something that's actually functional? I talked about how with vigreeting.com
39. 5:15I ended up having to go through 10 iterations of buying cards for myself to get the API to actually go through once. >> Oh wow.
40. 5:22>> Shopify is like, "Wow, you're on fire." I'm like, "No, I'm not because it's not working." >> Right. Right.
41. 5:30>> But I was, you know, coming back to me, so it doesn't matter. But >> there's going to be a lot of that. So
42. 5:35it's a great course. I hope you can uh jump on. We're going to be live next week ahead of this session and then
43. 5:43we're taking a break while I fly out to Denver for some Zenesk stuff and then back for >> and we'll get to I'll get to see you.
44. 5:49I'm going to come hang out with you at the at the at the potty. >> So, I wanted to take care of some housekeeping while I'm up here because
45. 5:56yesterday night was our first night in the new format with bringing AI Learning Lab inside of the salon.
46. 6:03It's a little different uh because we're not on the Tik Tok and the YouTube and you know these other mobile first
47. 6:09platforms that are designed for user engagement. Uh we're here in the AI salon which we're trying to make user
48. 6:16engagement and user friendly but we're also embedding Streamyard into the AI salon and using a tool that I think they
49. 6:24vibe coded. I'm pretty sure it's >> you you mean the the interface for how this thing works? >> Exactly. But what what I did and by me I
50. 6:34mean Codeex. What Codeex did was it put together a quick reference guide for how to access comments in this stream, how
51. 6:44to multitask on your phone while you're watching this and uh a lot of different options for whether you're on Android or
52. 6:51iOS. I put that in the chat. So if you're watching this now, you go one tab over, open it in a new tab or else
53. 6:57you'll lose us. That's something we found out on Monday. But Wait, how how do how do they do that? Oh, just just basically create two tabs.
54. 7:06>> Yeah, if you just right click on chat in the above the player and say open a new tab, you can get into that tab and see
55. 7:13the quick reference guide. Uh so hopefully I mean >> there's 35 people in here now. So obviously people are finding it, people
56. 7:20are commenting. This is good. >> But if you do have feedback uh or questions, concerns, thoughts on the new
57. 7:26format, please feel free to send me a DM at me. Send smoke signals. Uh, I'm this is my baby and I'm trying to make it uh
58. 7:33as best as we can for you. >> Beautiful. The other thing that that I should I should point out that that Brandon's doing is he is in
59. 7:41communication with the people at Mighty Networks who have apparently vibe coded this interface. So, we are giving them
60. 7:48feedback about improving the tool that they have. So, if if as you're using this you experience things or have
61. 7:54feature requests, let producer Brandon know and we will get those to the folks at Mighty Network. So this will get
62. 7:59better. The other thing that'll happen is this is a new experience for all of us. So over time we'll sort of figure it
63. 8:05out and figure out what's best. So the tech will get better will get better. Um and yeah that's great. So yeah. So mastermind >> keep going.
64. 8:13>> Yeah. Exactly. So so mastermind you've got producer Brandon's lovable thing. The other thing that's active right now
65. 8:19is the mastermind practice lab. We kick off a new cycle tomorrow. So Sid Hargrow uh and I are co-hosting that. Um Sid's
66. 8:27coming in to take over for Liz Miller Gersfeld who is going off and doing really amazing things. She's actually
67. 8:33going to be there as a participant but won't be leading it. Uh um so that's going and then Andy Scarantino is
68. 8:39teaching um a a four-part course. Two part two of the parts are done. Those recordings are available. There's two
69. 8:47more to come on decoupling your identity from your work. So, as AI starts to mess with our lives and starts to kind of strip
70. 8:58away the tasks that that make up the work we do, um to the extent that you've got your identity tied to that work,
71. 9:05it's going to be it's going to be interesting times. But there's really good opportunity there. So, the sooner
72. 9:10you can do that, the better. So, lots of stuff going on in the mastermind. So, if you haven't joined it, there it is. Okay. Uh
73. 9:18I went into AirPlay. Oh, I want to AirPlay it to my TV, but nope. That should work because you're just putting
74. 9:26up a um a browser tab to AirPlay. So, it should work, but I'll let producer Brandon deal with that. Okay. So tonight
75. 9:38what I want to what I want to play around with is um is the new image gen model inside chat GPT. Um I'm going to show you um two LinkedIn
76. 9:53posts that I've done recently. Let's see. I found using my Android tablet has more real estate. Okay, good. Everyone's
77. 10:00helping each other. If you have questions or comments um or you want me to do something in particular tonight as
78. 10:07we're talking about images 2, the new image model inside chat GPT, just let me know. Um Android is greater than iOS. Thank you,
79. 10:18Andy. Andy just redexed Brandon. Okay. When producer Brandon says things like Android greater than iOS, check with the host. Check with the
80. 10:30host. That is not true. It's what we call in in modern media studies misinformation. Android is inferior to iOS. And if it
81. 10:41weren't, you wouldn't show up as a green bubble in iOS chat, right? You're a blue bubble or you're not. Case closed. Sorry. I know it's
82. 10:53controversial. I know those of you with Android are feeling bad right now. You're a little achy. It's okay. It's okay. Just a fact.
83. 11:02Don't believe the misinformation. All right. Lovable link got hacked. So, it has some security built in. Cool. So, here's what
84. 11:14we're going to do. I am going to share my screen. I am so excited. Google finally, finally, finally allows you to share audio when
85. 11:27you're sharing your entire screen. So, that's cool. But where is this what I'm looking for?
86. 11:41Yeah, this image. So, so I posted uh my post here. I I kind of like trolling people because I'm an idiot. Um, there's a
87. 11:57there's a prompt going around on X and I forget what it is. I'll I'll find it somewhere. It's somewhere in here. Oh,
88. 12:04and in fact, I think if if uh I'll show you when we when we go into chat GPT, I'll show you how to do it. But you can
89. 12:09do like this doodle sort of sketchy kind of drawings, but uh what I posted was I've I've been dood doodling around with black hole physics
90. 12:18and doodled this on a client call, right? Uh and then I brag about how smart I am. But what I asked Chad GPT to
91. 12:25do was use this doodle style and doodle the mathematics, the formulas for for black hole, you know, physics. Uh, and
92. 12:35then and then doodle things like, you know, bending spacetime and all all sorts of [ __ ] like that. Um, so I don't
93. 12:42know anything about math, but apparently these are all the correct formulas for black hole physics. So this is this
94. 12:50starts to this should be a glimpse into what chat GPT now makes possible that yes you can make images and I think for
95. 13:01the past I don't know two and a half years or so you could get image models like like ideog or um nano banano
96. 13:10certainly um or or uh what's midjourney not so much is it wasn't so good at text but but you could get these image
97. 13:18generating tools to make something like this with a bunch of math formulas on it. But those math formulas and the
98. 13:24notes and all of the things like that um were never accurate. And so one of the things about this this idea that the the
99. 13:33images to model within chat GBT is a visual reasoning engine. This is this is an example of that. So that's that's one
100. 13:41thing that I wanted to share. The other thing I want to share is this this post. So, let me see if I can make this bigger so
101. 13:53it's easier to read. Yeah, there you go. So, so I started with my my shitty corporate photo. It's not shitty. It's
102. 14:00just been around for a long time. And I I look happier than I really am, you know? I look like someone just told an awesome
103. 14:11dad joke, you know. Um, so, so the prompt that I put here was he's lost a little weight and he wants to be featured in a manga manga
104. 14:24comic, um, that features the projects he's working on like a like he is a superhero bouncing between projects.
105. 14:32Create five pages of the manga. Manga. Manga. Manga. Manga. Hang on. I gotta come back and see. Is it manga or manga?
106. 14:43Valerie Cox. I'm on team Brandon. No. No. Amazing. Um, but you didn't doodle a muscle car. Yes, I did. I did. I'll show
107. 14:55you the muscle car I doodled. Of course, I doodled a muscle car. Um. Um, is it manga or manga? It's manga, right? with
108. 15:05the I don't know what do you call ma manga manga anyone? No. All right, whatever. Okay. Um,
109. 15:20where am I going? LinkedIn. Okay, so a couple of things that I that I want to point out about this prompt. One of the ways that I test
110. 15:32new capabilities is I purposefully give them shitty prompts. This is a shitty prompt, right? Like he's lost a little weight. I don't
111. 15:46say the man in the photo. I I would like to create a something that represents the man in the photo a little less fat,
112. 15:54right? Um, he wants to be fig featured in a manga that feature the projects he's working on. Like he's a superhero
113. 16:03bouncing between projects. So, I'm assuming that Chat GPT knows what my projects are. I'm assuming that it can
114. 16:10gro what the hell I'm talking about there. He's lost a little weight. Um, and then one of the things that I heard was that chat GPT
115. 16:19um, if you ask it to do multiple pages in a row, we'll do multiple pages in a row. So, here's what came out. That was the
116. 16:27prompt. That was the picture I uploaded. Here's what came out. Project jumper. What's this? I'm needed everywhere.
117. 16:35Story vine, AI learning lab, AI salon, the great repurpose, 10person team, Sydney. So, these are my major projects
118. 16:42that I'm I'm working on or have been working on. Um, up in here at the at the top, the work, a thousand ideas, 100
119. 16:49projects, one purpose. Look at these little books. story, strategy, AI tools, human impact, ideas are fuel, story
120. 16:58fills, change follows. I don't even know what that means. Um, there's an SV, there's a story vine logo on the back of the laptop. Um,
121. 17:09then it's time to level up. Storyteller, innovator, problem solver, world jumper. Let's go. And then stories and then and then
122. 17:18So there I am a little skinnier, right? Lost a little weight. I'm looking good. Looking good. And look at all these
123. 17:24portals into my projects. Different projects, same purpose. Make it matter. Page one. Page two. Again, this is what came out of Chat GPT
124. 17:35with this shitty prompt and this shitty image, right? It's insane. So, Story Vine, um, every story starts messy. There's, you
125. 17:48know, us filming in healthcare. It understands its authentic voices for healthcare and pharma. Um, this is I
126. 17:56noticed there's a there's a pretty bad janky hands here. Like the hands are all [ __ ] up. That's the first [ __ ] up
127. 18:03hands that I've seen in a while, but there they are. Uh, pretty bad. U, but you know, you got to look close to see
128. 18:11that. Not really. That one's That one's pretty bad. Um, so that's story vine. So, next mission, Sydney. Um, different
129. 18:17world, same purpose. Make it matter. Stories change. Stories change followers. Stories change outcomes. Next
130. 18:23mission. AI learning lab. So, here's AI learning lab live. There's all of you watching. And look at this. AI readiness cycle.
131. 18:33Play first. Create excellence generously lead. This is because chat GBT has memory. And because this image model is tapped into it's
132. 18:44it's using the the GPT 5.5 model that understands all this all the crap we've been talking about for 3 years
133. 18:53and now it's understanding it in visual context. It's insane. The AI salon. Welcome to the AI salon. A community
134. 19:02that builds, learns, and lifts together. That's not quite what we say about it, but that's not bad. real people, real
135. 19:09conversations, real impact. That's the mission. Share ideas, get feedback, build together, right? Bonkers, right? Um, now
136. 19:20the great repurpose. And look, it understands that that the great repurpose is going to be about people
137. 19:26being challenged with their identity. I feel left behind. What's next for me? AI is going to take my job. I'm too old to
138. 19:32start over. The future scares me. This is this panel. Andy and I were both in Anaheim uh this past week at Social Media Marketing World.
139. 19:44We heard a lot of this, right? This is where a lot of the world is right now. I'm scared. I'm scared. What's going to happen?
140. 19:54And we talk about uh The Great Repurpose. Then it talks about my book project 10person team. Then it talks about Sydney, an
141. 20:03artificial love story, a musical, a story, a story, an AI with a heart, and then there's my little project. So
142. 20:10there's the I think is that the fifth? Yeah, that's the fifth the fifth page, right? Absolute flipping insanity. So
143. 20:16let me check back in and see what the comments are. What are you What are your thoughts? What are your thoughts on this?
144. 20:23Uh new people going to think it's always been this good? Yeah. Yeah, I know. I know. It's It's crazy. Well, here's the thing.
145. 20:35The the new image model is maybe a week old. People that are using it don't know that it can do what it can do, right? It it's
146. 20:44like this is one of the reasons I sort of gave up on trying to to keep up with all the AI stuff is that it's it's just it's there's just
147. 20:56too much of it. there's new tools, there's open claw, there's this, there's agents that and then somewhere in the
148. 21:02middle of that, open AI goes, "Oh, we got this new image thing." And people are like, "Yeah, yeah, I know. You make
149. 21:07images. I Okay, so it's better now." Right? So I personally think that having something that can generate images
150. 21:20tied to the the the reasoning engine that is that is as powerful as it is feels like it's actually a different
151. 21:30capability like like we are going to be able to do things that we just couldn't have imagined. I don't know what that is
152. 21:36yet but we're going to find out tonight. Okay. My thoughts are that you need some sticky notes in your life, Kyle. Oh, is
153. 21:46are you doing sticky notes? Because I'm certainly not looking at them. So, let me make a new window and throw this over
154. 21:53here on this other board. Mirror. Oh, yeah. Sticky notes would actually be really good because while I'm driving, I
155. 21:59can't see anything. So, that's good. Hi. Perfect. Okay, beautiful. I now have sticky notes. producer Brandon can communicate with me. I'm
156. 22:12putting it just off there so I can see it. It's right in my vision. It's right over there. I can still look at you and
157. 22:20and see what I'm saying. I need a haircut. I'm just going to sit here and stare at my hair. Um the new fields are calling them
158. 22:33artifacts. Yeah, we've come a long way, baby. Okay. So, let's go back to this the So, we're still in the same prompt.
159. 22:40So, the first prompt was make five pages of a manga, right? Okay. So, in the same chat, we did the five pages of the manga. But
160. 22:54look at all this. This is from one shitty prompt and one shitty image. J one creator, many worlds.
161. 23:10And here's the thing, like I didn't edit these at all. I didn't go back and forth with prompts. Like, are there things I
162. 23:17would change in this? Yes, I would upload. I would call out some projects. Like, there's all sorts of things I
163. 23:24could do to make this better. But this was just a, you know, here's a shitty prompt. What do you do with it? And it did something
164. 23:34remarkable. I got to sneeze. Hang on. Thank you. Thank you, producer Brandon. He's using the Post-it notes for uh uh
165. 23:47for salutations. Love it. Beautiful. Okay, so here's the next prompt. One of the things that's been frustrating even in especially in Nano
166. 23:58Banana. Nano Banana is really bad at this. That's that's the Google image generation tool. That's also a visual
167. 24:05reasoning engine. Um, but the previous OpenAI visual reasoning engine was bad at this. Nano Banana's bad at this. Once you get
168. 24:15it on a track, like we're talking about a graphic novel here. Once it kind of gets on a visual track, getting it to shift off that track is
169. 24:24really hard. And so one of the things I wanted to do is I said, "Okay, if this thing can understand all this context
170. 24:31about who I am and understand what a manga comic is and do five pages without me prompting it, can it shift gears
171. 24:38visually?" So again, I did another shitty prompt. Make him an artist. So again, make him make who? This guy. Make
172. 24:47him an artist in a gallery of his modern sculptures, each of which represents one of his projects. He should look like a
173. 24:55hip New York City artist at a major gallery opening. That's the prompt. Here's what it produced. Like, we are fully out of manga land.
174. 25:07Like, I was expecting this to look like a manga comic. It totally got the assignment with a shitty prompt. Now, look at the
175. 25:15sculptures. This one here that looks like a bunch of vines, that's story vine. Um, every story, what's it say?
176. 25:23Every story branches. Every voice matters. Um, here's 10 person team. I don't I don't know how that's 10erson
177. 25:31team. I wonder if there's 10 holes. One, two, three, four, five, six, seven, eight. No, there's more than 10, but
178. 25:37whatever. And then here's AI salon, and it's sort of this big round bronzy kind of thing. Here's the AI learning lab.
179. 25:44It's this LED sculpture. Here's the great repurpose, which is all this sort of intertwining kind of stuff. And then
180. 25:51back here in the back is Sydney. Some sort of 3D holographic thing. There I am. Looks like I got a little side
181. 25:57stubble on the beard. Looking like a hip New York City artist. Look at those shoes. Look at those shoes. My
182. 26:04pretentious project sculptures. Right. So from this with a shitty prompt to now make him an artist and have those things represent the
183. 26:17projects. Right. Insane. That's rad. It's rad, isn't it, Danielle? It's rad. Single shot. Single shot after it creating a comic.
184. 26:31Like that. That's the thing that I can't quite wrap my head around. This is the mode it was in. This is in the same
185. 26:38chat. I can show you the chat. So then I thought, okay, well, let's let's try. This is Kelly Camp was complaining
186. 26:48that I didn't do enough with muscle cars in my in my use of of this magnificent tool. So my next prompt was now put him
187. 26:59in a team jumper for a NASCAR team called Shannon Artist Innovator Racing. He is standing in the infield of Daytona
188. 27:07Speedway with the stands filled in the distance. He is surrounded by 2026 Ford, Mustang, NASCAR cars, each with a livery
189. 27:16that represents his different projects. Now, what I will admit is the picture I'm about to show you is about the 20th
190. 27:24iteration. The things I showed you before, those were those were oneshot things. The the picture I'm about to show you,
191. 27:32it took a lot of time. It had the proportions all wrong. Like, it was generally there, but it had projects in
192. 27:38the wrong order. the cars had the same number. There was just all sorts of messed up stuff about it. So, it took me
193. 27:44a while to get this. However, it was still within the same chat. And where I ended up getting was with with some
194. 27:51coaching is this. So, I mean, a couple of things. One is just these are 2026 Mustang NASCAR race cars.
195. 28:03Um, the liveries have all my projects on them. They don't have the logos cuz I didn't give them the logos. Like
196. 28:09Sydney's got like a drama mask and you know, but holy crap, look at the AI Salon car, the 11, the Denny Hamlin car,
197. 28:19right? Here's the Kyle Bush car 54. Shannon artist innovator racing. Um, it gave me, you know, a a jumper race suit
198. 28:30that that has Shannon artist innovator racing on it. Um, it is at Daytona, right? This is the start finish line at
199. 28:37Daytona. The stands are filled. Here's the cars racing behind. I mean, this is all in the same chat. So,
200. 28:51with very crappy prompts, we get some pretty remarkable outputs. Um, all right. Let me show you. Well, let me let me actually let me pop
201. 29:06back over to the chat and let me stop doing that. Never enough. Let's see. You've got another I can't get this timing down.
202. 29:21Oh. Oh, yeah. We're starting at 7:30. Sorry about that. We've been doing things I couldn't have imagined for
203. 29:27three We've been doing things I couldn't have imagined for three years now. I know. Um Oh, the one the the one says AI
204. 29:34leaning lab, does it? Let me go look. AI. Oh, it does. No, no, it doesn't say leaning. It It says leing.
205. 29:51That's pretty good. And there's some weirdness. Like if you look at the the grass has kind of this this digital
206. 29:59pattern in it that matches the digital pattern on the on the cars, right? So it like it ain't perfect, but holy crap is
207. 30:07it something. It's got the Rolex logo up on the on the timing stand. I don't know if Rolex is a NASCAR sponsor. I don't
208. 30:15think they are. Um yeah, absolutely crazy. Um, you got to keep that jumper. I got to get that jumper.
209. 30:29Um, I'm going to show you a couple other pictures that I did with it and then we're going to actually go start playing
210. 30:35and and we're not just going to start playing. So, what I'm going to do is I'm going to have chat GPT and probably Claude, maybe Gemini
211. 30:46actually help us think about how we should be exploring a visual reasoning model, right? Because I think if if if
212. 30:59all we do with this thing is just make pretty pictures, I think we're doing ourselves a disservice. I've got a tweet
213. 31:05in the comments so that people can share to let people know that we're live. Oh, cool. Okay. So, in the comments right there,
214. 31:14do me a favor. Head out to the other socials and say, "Hey, we're in here talking about this cool stuff." And if
215. 31:20you want to go to you can go to my um LinkedIn channel and go to my profile and the uh the article is called Are You
216. 31:30Are You Flipping Kidding Me? I think it's my second article in my chain. So, there's a tweet there that Brandon has
217. 31:37done, but if you want to go point them to this specific article and say, "Hey, we're talking about this this image gen
218. 31:42tool." Um, or just take the one that that Brandon put in there for you. Go share that on the socials. Would be
219. 31:48great. Can't get the link to work. I don't know what that means. I just received a calendar alert that it's somebody's birthday tomorrow.
220. 32:03just so listen there there are some birthdays that are big deals. There are other birthdays that are not big deals. And the birthday
221. 32:13that I'm having tomorrow is both not a big deal and really depress. I sorry really inspiring. All right. So, there's the uh there's
222. 32:27the link to the uh to the LinkedIn article. So, it's on mine, too. What's on yours, too? Oh, your your birthday's tomorrow,
223. 32:36Silver Fox. That's our connection. Taurus Taurus babies, don't [ __ ] with us. We are stubborn. Ask Andy how long it took her to get me to
224. 32:48to consider um making some changes to the to the format here. Your birthday is on her calendar. Oh. Oh, it's on your
225. 32:56calendar. Okay. I thought it was your birthday. My birthday is on your calendar. You guys are sweet. You're
226. 33:01amazing. Anyway, yeah, tomorrow's my birthday. Um, okay. So, let me show you a couple other pictures. Inquiring minds want to know,
227. 33:09Kyle. 61. 61. Like 60 was a big one, but 61 is like, yeah, you're [ __ ] old now. It's just we celebrated big last year.
228. 33:24Exactly. I'll be taking my birthday off tomorrow night. So, okay, cool. Yes, sir. >> Hey, Kyle, I just realized you can drink
229. 33:35on this channel now without getting perm. I've got I've got one drink left of my Bllandon's cask aged tequila. And the if
230. 33:48you're if you're new here, the story with this tequila, Brandon picked this up. It only took you a year to drink it.
231. 33:55>> Oh, that's true. This was on my birthday. Yeah, actually, that's a great idea. I will go get I will go get a pile
232. 34:00of ice and and I will drink this tonight. The backstory here is I love Bllandon's. So, Blandon's I've got bottles
233. 34:10everywhere. Bllandon's bourbon is my jam. Tequila I hate. Like, I despise it. Like it it was my 21st birthday and I just I can't I I'm
234. 34:2461 and I can't 40 years later I still can't stomach tequila at all. I hate I just like age it in a Blandon's barrel and
235. 34:34apparently it makes it good. This is really good. So anyway, so thank you to the irregulars and for Brandon for
236. 34:41picking this one out. Uh but I'm going to finish that. So, um, in fact, you know, let me go get I'm going to go get
237. 34:49a glass now. So, uh, throw a graphic up or something or I I don't know. Is there any Whatever. I'll be back. I'll be back
238. 34:57in like two minutes. There you go.
239. 35:22Noise.
240. 36:03All right, I'm back. Beautiful. You chillins. Hold, please. So, this is how I like to drink bourbon. You're like,
241. 36:18Kyle, that looks like a slushie. I know. I'm a [ __ ] child. I'm a 61-year-old child. So, so what I like I don't like the big
242. 36:29the big ball, you know, the big ball because it doesn't make your bourbon cold. It just melts slower and is sort
243. 36:40of Luke cold. And I don't like it neat. I like it cold. I like it so cold that the outside of the glass gets ice on it.
244. 36:51So that's how you do that. So that's what that's for. So don't get on my [ __ ] about my slushy my slushy bourbon tequila.
245. 37:02But yes, we don't have to worry about Tik Tok. There was a really funny thing. This was I don't know a year and a half
246. 37:07ago. I was in Vegas for something and uh I was in the Vegas airport. I'm gonna take the uh I'm g take the little thing
247. 37:17off here and I'll throw that back on my thing. But uh it took me a year a year to drink this booze. So So my drinking problem is apparently
248. 37:31that I don't drink enough. Um cheers. Thank you for the birthday wishes. Ah, so good. Um, it's so good. And
249. 37:48what's going to happen is because because of all the surface area and and alcohol lowering the temperature,
250. 37:55this is going to get ice on the sides of it. It's going to be fantastic. Oh no, Danielle has a card for me in her regulars.
251. 38:04All right, here we go. Let's see what's going on here
252. 38:19now. >> I know. I know. I can't find anything. Who moved my cheese? >> It's in the chat though. >> Okay,
253. 38:32there's digital gods. Happy birthday, C. A. That's very nice. Look at that. How sweet that is. That's beautiful.
254. 38:39I I hope you did that in the new chat. GPT image model. Ideas inspire impact. Creative minds stronger together. That's
255. 38:46beautiful. Look at that. A y'all are cool. Y'all are swell. That's very sweet. Um, okay. So, let me show you
256. 39:01some other stuff that I did. Oops.
257. 39:18Streamyard pin. Hang on a sec. We listen. We don't judge. In my phone, it looks different. Of course. Ivan, you found us. What's
258. 39:31happening, Ivan? Welcome. Welcome. Welcome. It's good to see you all. We got 39 people in here. Welcome to the Listen,
259. 39:39if you're new here, welcome to the AI salon. Welcome to the AI learning lab. Tonight we're talking about the new
260. 39:45image gen model inside chat GPT. Um, it is kind of remarkable. I think it's way more than people realize it is. And so we're going to
261. 39:59talk about that. Another pin. Hang on a sec. Uh uh uh. Do we have another one? No. Okay. Okay. Um so whenever a new image model
262. 40:12comes out, one of the first things I do is um a 70s muscle car resto mod in an abandoned factory. The twist that I put on this one because
263. 40:23I knew it was good at text was I want that um as a magazine photograph and a and kind of like the centerfold of a car magazine.
264. 40:34Um and I want the title of the article to be muscle is back. Um and then it wrote all the other stuff. So this was the very first image
265. 40:44I made with the new images 2 model. It's pretty good. AI instigator Kyle Shannon declares the return declares the return
266. 40:52inevitable. Detroit listens. Yeah, I do have a lot of impact on Detroit. Um All right. Then I said, um, make it green
267. 41:09and and put an analog clock at 6:37, um, in the in the front of the image, and it did this. Now, first of all, it just
268. 41:24made that car green, but it kind of repositioned it, but it's still that car. It added the Z28 badge on the front.
269. 41:32That's pretty slick, right? The wheels, it added a It added a No, it didn't add anything. The wheels are consistent.
270. 41:41Um, the clock, here's why the clock is significant. For the first three years of image generation models, every clock was at 10
271. 41:49minutes after 10. You could not get an image generation model to be any time other than 10 minutes to 10. And if you
272. 41:57don't if you want to know the reason for that, it's because when when they photograph watches and clocks for ads,
273. 42:05there there's there's like a reason whatever. There's a reason why they do that psychologically and whatever. I
274. 42:11don't know what it is visually, but all advertisements for all of history, clocks were always at 10 after 10. Um,
275. 42:19so you couldn't get these models to do a clock at a specific time. You can now, right? That's a change. Streamyard
276. 42:26comments starred. Ah, yes. I have to go to starred comments. Let's see. New here. Be gentle. Greg Walters. We We are We are gentle with no
277. 42:36one. We are welcoming to everyone. Um, but please jump right in. You're in the salon. Um, one of the things that you
278. 42:44will discover here is that sometimes, uh, I ramble on a bit. And if at some point I'm rambling on and you're like,
279. 42:53I'm kind of bored. Go explore the other channels in the salon. There's, you know, there's all sorts of interesting
280. 42:58things in the mastermind channels. There's spaces for business and for neurospiciness and um there's events.
281. 43:05You can see all the events coming up. So go check out the salon when things get slow here. Here's the other thing about me and
282. 43:13getting slow. Um, I'm like a w one of those windup toys. It's just like kick kick kick kick kick kick kick kick kick kick kick kick.
283. 43:25The point here is not that I'm going to necessarily teach you anything. Hopefully, you know, I'll teach
284. 43:30something, inspire something, whatever. The whole point of this channel and the whole point of the salon really is for
285. 43:36us all to connect with one another and just to be in the conversation about what AI makes possible and what you can
286. 43:42do with it. So, there's all sorts of ways you can do this. One is just connect with the people that are here.
287. 43:47Um, if you don't know a a term called the irregulars, the people that show up here regularly are called the
288. 43:54irregulars. They named themselves that. Um, actually it was Serena who named everyone that. Uh, may she rest in
289. 44:01peace. Um, but one night, uh, I was doing this. I was we we were sort of two or three months into this and I noticed
290. 44:08that the same people kept showing up night after night after night and at at one point I said, "Y'all are flipping
291. 44:16weird." And and Serena just immediately clap back, "We're not weird, we're irregular." So, the irregulars um
292. 44:27are a really amazing bunch of people that are, you know, every bit as much a community on their own um as the salon itself. And so, um
293. 44:39how they learn and how they um contribute to the community is they just show up here and they're just awesome,
294. 44:47welcoming people. And if you have questions, just ask it in the chat. They'll give you a hand. If you're if
295. 44:52you don't know where to go within the salon, let them know. They'll guide you around. So, welcome. So, anyone who's
296. 44:57new, welcome. Uh, welcome to the salon. Um, you're 61. Slow happens. Thank you, Kelly. Okay, so so those were my first
297. 45:11two posts. The these were my first two generations in in the um images 2 model inside chat GBT. So again, if you're new
298. 45:20here, if you just joined um tonight, tonight I'm going to be exploring the new image generation model inside chat
299. 45:26GPT that's new as of about a week ago. It's it's a brand new model and it's it is quite remarkable. Week week week and
300. 45:32a half ago. Um one of the other prompts that I gave it so so I gave it this prompt and then I thought, huh, I I
301. 45:40wonder like how far you can take this. I had I had watched the announcement where they said this thing can also reason.
302. 45:49my window. Um, so again, I gave it a really crappy prompt. The prompt I gave it was, and it was in a new chat. It
303. 45:57wasn't in this chat. I said, um, make me an infographic about the history of muscle cars. That was it. That was what I said. And
304. 46:08this is what it produced. Um, this is kind of bonkers, right? like so you know a Chevy Chevy Chevel um SS right um 40s and 50s post-war
305. 46:27performance they picked all the right cars for these right like the Chevy Chevel uh SS 396 for the 65 to 70 the
306. 46:36the Plymouth Roadrunner for the 70s the 80s the Fox body Mustang the the most unfortunate era of muscle cars
307. 46:47Right. Um, it figured out like the color schemes. It figured out the years. It wrote all the copy. It decided to do a
308. 46:56tachometer as as a horsepower indicator for each of the eras. Um, it got the right logos. Muscle cars aren't just about
309. 47:09horsepower. They're about heart, heritage, and freedom. Um, like I don't where do you how do you live in this world now?
310. 47:24Give me an infographic about the history of muscle cars and this comes out AI first. Older it got the older it got,
311. 47:41the worse it got. What do you mean? I don't know what that means. All right, that was that one. Um, okay,
312. 47:53this one. So, if you go to the great repurpose.com, so in the in the AI salon mastermind, we're starting to do some programming
313. 48:01around the great repurpose. The great repurpose was born on the AI learning lab live about a month month and a half
314. 48:08ago. Silver Fox is the one that that um came up with the name. We were talking about this idea that as AI models are
315. 48:16getting more and more capable when when Opus 4.6 came out, programmers pretty much across the board said, "Oh
316. 48:26my god, it's here." like like all of a sudden this thing codes well enough that um this is this is changing how I how I
317. 48:37work, how I how I program. And shortly after that, probably about a month after that came out, I started seeing posts on
318. 48:45X talking about people saying, "Hey, I'm a programmer, but I don't program anymore and I kind of hate my job
319. 48:53because I love programming. I love the elegance of it and I love the problem solving of it. and now I'm just
320. 48:58babysitting these agents that do the programming for me. And in some cases they were kind of lamenting like and
321. 49:04it's as good or better than I do. Like not a lot of them were admitting that but that was kind of the sentiment is
322. 49:10that these things are here. So the great repurpose is this invisible crisis sitting underneath the jobs
323. 49:19crisis, right? AI is going to take our jobs. Well, even if you keep your job, your job is not going to be the same. And so
324. 49:27to the degree that, and certainly in America, this is true. To the degree that we've got our identities tightly coupled with our jobs,
325. 49:36this is going to be kind of brutal, right? There's going to be a lot of ego death. There's going to be a lot of
326. 49:40people grappling with stuff. And so, if you if you go to the great repurpose.com, you can take there's an
327. 49:46assessment there. It's like this quick little um survey where you just move a slider back and forth for seven
328. 49:51questions and then you answer an open-ended question and it assigns you to one of these 10 repurpose profiles.
329. 49:58Uh you can sort of figure out where you are in the process. Um, so what I asked Chad GBT to do was go to that website,
330. 50:08go to the greatrepurpose.com, design a hardcover book, photograph that hardcover book on a on a modern urban office, I think I said.
331. 50:21Put that photograph as the center spread of a magazine. And then and then I think I said I think I said make some copy for the
332. 50:32magazine or something like that. But again it was a very thin prompt. So it designed the book how we turn disruption into purpose and
333. 50:41build a meaningful future. Kyle Shannon artist innovator. So it got that and then the the magazine article artist
334. 50:47innovator Kyle Shannon names the invisible crisis of meaning below the AI jobs crisis. And then it wrote I didn't
335. 50:53write this in in the great repurpose Kyle Shannon argues that the real disruption isn't just the future of work
336. 50:59but the future of purpose. He call he his call to repurpose ourselves our institutions and our imagination may be our only way forward
337. 51:10like it pull it wrote that language. I didn't write that language. So, you know, again, um, this was, I said, take the opening
338. 51:21scene to Hamlet, the the graveyard scene, and turn it into a graphic novel. So, it did that, and it, you know, kind
339. 51:27of ends with Yoro. Alas, poor Yoro. I knew him, Horatio, a fellow of infinite gest of most excellent fancy to be continued. Right.
340. 51:40Streamyard pin. I heard a good statement. Greg Walters, AI will replace your job, not your purpose. Yeah. And it and it might not
341. 51:49even replace your job. I think what I think what's going to happen I think some jobs will be lost, right? As as we
342. 51:55automate more things, I think companies that prioritize people and say, "Listen, you're going to keep
343. 52:03your job, but the tasks of your job are about to change radically." And so I think even if you keep your job
344. 52:11and your job changes radically, that idea of repurposing yourself, even within your job, how do you stay
345. 52:17connected? How do you stay motivated? How do you figure out, well, wait, if my job's about to change radically, what
346. 52:22what am I supposed to do? None of us know, right? The one thing I know is that none of us know like what it's
347. 52:32going to look like, but you can kind of see it with programmers right now, right? They're not their job is not the same.
348. 52:40Some of them are probably loving the new way of working with agentic tools and having, you know, just thinking about
349. 52:49the ideas. But people who love the craft of programming, they're not in a great place right now. I was talking this this guy um Gus on
350. 52:58the the panel I spoke on today. I was talking about the great repurpose and I explained this idea of even people that keep their jobs
351. 53:09are going to face this and he said he said oh my god I'm in the middle of this right now I said tell me he said well
352. 53:16I've been an engineer for like 40 years right he's been a programmer for 40 years and he's a consultant now and and
353. 53:22and this and that but he said as the AI tools got better he realized oh crap like the thing that I did for 3540 years
354. 53:32is being taken away. And he said he went through this crisis of like what do I do? What's my value here? And then what
355. 53:39he realized was he's he's had all these ideas all of his life about systems that he wanted to build. He imagined these
356. 53:49sophisticated complicated systems that he as a developer could be a part of. and and he's like, "In the last 6 months,
357. 54:01Kyle, I've like I've made these things that, you know, a year ago it would have blown my mind to even be considering
358. 54:10them, much less building them." And so, like, he's rediscovering his genius independent of the tasks that he used to
359. 54:18do. That's what we're headed into. So, yeah. So, that's that's the place we are. Um, let me see what else. I did a Sydney graphic novel.
360. 54:29Um, this was fun. So, I was up I spoke at um at uh an innovation conference up in Boston and this was at at Babson
361. 54:39College and this was one of the students that I was sitting next to and he was he was super cool and he's got a he's got a
362. 54:45really cool startup and uh so while they were while they were talking about stuff up there, I was telling him about the
363. 54:51new image gen model in in uh in ChachiBT and I said I said, "What's your favorite car?" And he said he said Rolls-Royce
364. 54:59Phantom. And I said, "What year?" And he goes, "2026." And or no, maybe he said 2022. I don't know. I forget what year it was. And and
365. 55:08then uh so so I just I took this picture of him and then I prompted chat GPT. And so there I said, "Put a Black Panther on
366. 55:15the top of it. Put it outside Babson College and make it champagne colored at sunset." And there it is. So anyway,
367. 55:24so that's the thing we got. Let me check back in with you all here. Um, that's it. AI that's it. AI will allow
368. 55:34us to be more. Yeah, the let me let me show you another another slide here. I think where why not now?
369. 55:48Let's see. Well, you search for that. We have a new uh graphic courtesy of Andy and Chat GPT. >> Oh, no.
370. 56:04Is it this one? The hold, please. >> Yeah, >> that is gorgeous. I love it. That's really good. It's beautiful.
371. 56:14Okay, cool. Let's see. I want to show you something here. Is this it?
372. 56:32Yeah, this one right here. This Oh, this is PowerPoint. It might look different. Is this going to work? Yeah.
373. 56:45So, so this is this is a slide that I've that I've been talking about um in in a couple of my recent talks that that AI
374. 56:54AI is kind of like this this funky arcade, right? We're we're in the mall. Like take yourself back to when malls
375. 57:00existed when you would physically go into the world. Remember remember that? Um it's whitewashed. Yeah, I know. So So
376. 57:06I started like this. Um some people are hoping that the arcade just closes, right? that the the shutters come down and like AI is not
377. 57:15going to, you know, not going to survive. I don't think that's the case. I think the the arcade's here for a
378. 57:20while. Um, but one of the things I talk about is there's two kinds of games in this arcade and and the the one kind of
379. 57:26game, the really cool thing about it is it's free and you can play it and this is the game most people are playing and
380. 57:32that's the game of us versus AI where AI is like this this big boss that we got to battle. Um, and and the challenge
381. 57:40with playing this game is that AI is just getting better and better and better. And so it's it's just kind of a
382. 57:45depressing game because, you know, the more you try to compete with this thing, the more it's going to it's going to
383. 57:49win. There's another the other kind of game in this arcade is us amplified by AI. And so notice now that AI is like
384. 57:57this jetpack and I get to fly around collecting the gold coins and being creative and doing all this stuff. But
385. 58:02the cost of the orange game uh is it needs a special some special tokens and the tokens that it needs are curiosity,
386. 58:13adaptability and intuition. But if you can get curious about AI and if you can, you know, find the way I
387. 58:21find this actually really hard as as creative as I like to think of myself, I'm actually a decently rigid fella
388. 58:29and and so if I make something that I'm really proud of and really happy with and then three months later I've got to
389. 58:35throw that out and start over, it's kind of depressing. So the adaptability one's really really um important but not
390. 58:42necessarily easy. And then intuition or taste is is is the final token that is required to play the amplified game
391. 58:51because and this is what Brandon started with in the in his uh lovable vibe coding series. He started today by not
392. 59:00vibe coding. He started with what are we trying to accomplish here? Which really gets back to who are you? What are your
393. 59:06values? What are you trying to accomplish? Um okay. Um, so anyway, so I just wanted to share this graphic because I think a lot
394. 59:16of people right now think that they've got to compete with AI. And there's there's just this energy of like we've
395. 59:22got to battle this thing. No, we get to use this thing. If you do it with curiosity and adaptability and
396. 59:30intuition, uh, remarkable things happen. And so that's what the salon's all about. So all of these slides that I show are essentially
397. 59:38articulating behaviors I see within the AI salon. So it's kind of fun. Okay. So there's some starred comments in here.
398. 59:45All right. From Lori Blair. My son's a senior software engineer and they keep promoting him so he can stay. There you
399. 59:52go. That's awesome. That's good. Yeah. It's you know one of the things that's happening is I think demand for um for
400. 1:00:02software engineers that are AI curious is going up dramatically and and I've seen in a couple of talks that I've
401. 1:00:09given I've watched some other people doing talks in these in these uh events and anywhere between 18 and and I think it was 43%
402. 1:00:20um salary increases for AI literate versus noniiterate So being AI literate is valuable. AI first just imagine what China has. We
403. 1:00:33are already 5 years behind them. I well I don't know that we're five years behind them in terms of models.
404. 1:00:39I think that we're probably five years behind them in terms of um adoption and sentiment. Right? The sentiment, the
405. 1:00:49positive sentiment for AI in the United States right now is 17% 17%. That means 83% of people in the United
406. 1:00:59States have a have a disfavorable a a negative perception of AI. It's absolutely inverted in China. So, the other thing that China is doing,
407. 1:01:11which I think is fascinating, is they keep dumping all of their models in these, you know, open- source, um, which
408. 1:01:18are it's going to devalue the big frontier model companies and all sorts of interesting political stuff going on
409. 1:01:23there. Anyway, that's that's really cool. Um, Andy Scarantino, we are building a new future. We are. This is like I mean, here's the thing.
410. 1:01:34There there is a there's a place that I've gotten with AI which if you're new to it is going to sound creepy,
411. 1:01:45but I just the more I learn about it, the more I think this is true is that as AI gets better and better and better
412. 1:01:58and AI does more and more and more of the work that is not fulfilling. like the soul crushing repetitive work
413. 1:02:08that that is essentially the knowledge worker equivalent of being on the you know on on the the factory line
414. 1:02:16as AI starts to do that work it's going to feel initially like but that's my job and then at some point a lot of jobs
415. 1:02:22you're going to realize I actually hated that job that didn't bring out my genius and so I think in this weird
416. 1:02:30counterintuitive kind of way the robots are going to free us to be our higher selves. It is a weirdly spiritual possibility
417. 1:02:41that we get to connect with who we really are, what we really value. I think robots do your jobs, but your
418. 1:02:48job is to give them skills. And I I think that's right. And I think that your job is to give them ideas
419. 1:02:54that you then are the are the curator of, the arbiter of that idea. and you say, "Hey, AI, go execute my idea in all
420. 1:03:05sorts of fun and interesting ways." Right? So, that's where we are. Okay. I hope AI kills factory work. Yeah. And
421. 1:03:14I hope it listen, I I hope it I hope it kills the kinds of work that's not fulfilling. And I hope that communities
422. 1:03:26really start working on upskilling people to take advantage of these tools, right? The amazing things about these
423. 1:03:36tools is they're available right now. A lot of them are available for free. Right. Um Ivan, I want to write a sequel to a TV
424. 1:03:50show. Can you help? I I will root you on. I'm in the middle of of uh of writing and trying to get my musical produced.
425. 1:03:59So, I'm tapped out on the uh on the uh the creative writing front right now. I want to get my musical flipping
426. 1:04:06produced. I'm done. I'm done with it not being on stage. That's so good. Okay, let's go play. Um we're gonna go to chat GPT. Am I sharing
427. 1:04:20my screen, Brandon? See? Beautiful. Okay. So, here we are. What model are we rocking?
428. 1:04:38We don't know. Can we not see our model anymore? The hell? Oh, here we go. Okay, I'm on 5.5 thinking and then thinking effort, standard or
429. 1:04:51extended? We'll go standard. I don't think we need much for this upgrade for research grain intelligence. Okay. So,
430. 1:04:58here we are in chat GPT. So, one of the things you can do is you can go to create images and we're we're we're
431. 1:05:03playing with the image generation tools tonight. So, if you go to create images, there's all of these um new styles that
432. 1:05:12you can choose from. Now, like the if you're looking at this, you're probably like, "Oh, like they they did all this programming
433. 1:05:22to make these things do what they do." No, if you click on one of them, it just it just prepopulates your thing with a prompt.
434. 1:05:32Okay, which is good, but that should show you that that you know, all of those different styles are just a prompt
435. 1:05:40away. And that's always been the case. Um, but it's still kind of cool. So, this is a uh transform the main subject
436. 1:05:48of the uploaded image into a clean educational cutaway. So, what we're going to do is instead of the uploaded image, I'm going to say
437. 1:05:58um generate um I'm just going to say a highly detailed wait highly detailed and
438. 1:06:15annotated image of a I don't know. Let's go B2 bomber into a clean educational cutaway on a white background. Okay. So, we'll do
439. 1:06:30that. All right. So, I'm going to start I'm going to spin up a bunch of chat GPTs here and we'll just fire these off all in a row.
440. 1:06:38We'll go play because there's another thing I want to do. All right. So, here we are at chat GPT. I can go back to
441. 1:06:43create image. Here's the scribble one. That's the one that I did the uh the uh the Einstein the black hole thing on. Um
442. 1:06:51there's a makeup guide. There's all sorts of stuff. But anyway, just use these images as thought starters. But
443. 1:06:57here's what I want to do. I'm going to I'm going to turn off image generation. And what I'm going to say is I'm going to say your new
444. 1:07:09image gen tool is more a visual reasoning engine and world model
445. 1:07:25visualizer than it is a picture maker. This seems like
446. 1:07:42an important shift. This seems like an important shift
447. 1:07:59and it's hard for me to conceive of all of the ways I might use it
448. 1:08:15powerfully. I want you to think hard. Tell it to think hard and it will. I want you to think hard about 20
449. 1:08:30use cases that I can experiment with that reveal the true power
450. 1:08:45of what this new capability makes possible. Okay. So, if you're new to this AI stuff,
451. 1:09:03one of the one of the the horrible the horrible ego things about AI is that there's a point at which when you use
452. 1:09:11this stuff where you're just like, "Oh [ __ ] I'm the bottleneck. I'm the dumb dumb." like like there's a point at which like
453. 1:09:22you're like okay I want to think about how to use a visual reasoning model and then you're like uh and like what I
454. 1:09:29would typically do is I would go to a whiteboard or I'd get out a thing and start sketching ideas or I'd call up a
455. 1:09:34friend and we'd have a conversation. You don't need to do that anymore. But you have to let go of the the hubris that
456. 1:09:41you've got all the ideas and only you can solve the problem. So, what I'm doing here is getting chatpt to help us,
457. 1:09:48help me, help you, help me. All right, we're going to ask it to think about all the ways we could use this fancy new tool.
458. 1:09:57All right, I'll frame these less as make a pretty image prompts and more as experiments and visual thinking,
459. 1:10:03diagnosis, simulation, comparison, planning, world building, and persuasion. I'll tailor them toward your
460. 1:10:09story AI salon great rep. I'm going to stop it right there. Um, I don't um want you to tie these tie
461. 1:10:23these ideas to my projects. I feel that will limit what you do and I really
462. 1:10:37want to understand what new is possible. I know that's not a good sentence, but that doesn't matter. Excellent. Exactly.
463. 1:10:51Better call. Tying it to your look. So, one of the things I got to do is I got to go change my system preferences so it
464. 1:10:58doesn't kiss my ass so much. We lost your screen share. Okay, hang on.
465. 1:11:20That good? We good? Yes. Beautiful.
466. 1:11:35Nice. That's cool. Okay. Here are 20 experiments that treat image generation as a visual reasoning engine. World model visualizer.
467. 1:11:44Vis visual counterfactuals. Ask it to show the same situation under three different assumptions. That's cool. Show
468. 1:11:52the same city block in three versions. One where housing polish pol policy favors density. One where cars dominate
469. 1:11:59the planning and one where climate adaptation shaped every decision. Keep the camera angle identical. Label the
470. 1:12:05visible clues. Why it matters. It reveals systems. Okay. So, I want to do this. We're going to do this one. This
471. 1:12:11one's going to be fun. So, I'm going to copy this. So, here's what we'll do here. We're going to start some new tabs. chat GPT
472. 1:12:20and I'm going to say create image. And so I'm going to pop that in there, but I'm going to say I'm going to also go deep research.
473. 1:12:30So I'm going to throw deep Wait, did I lose? I guess I can't do deep research and image gen at the same time. All
474. 1:12:38right, fine. We won't do deep research. We're going to create image. I'm going to say uh I'm going to say um research um
475. 1:12:53studies that base your image in the reality represented by the data and
476. 1:13:08site your sources. is all right. So, this is pretty cool. This is a counterfactual try try image. All right, there's that.
477. 1:13:20Let's go back here. This was the cutaway of the B2 bomber. Northrup Rup Northrup Grman B2 Spirit. Wow, that's amazing.
478. 1:13:39A low observable flying wing stealth bomber designed to penetrate close air defenses. Avionics bay four jet engines. That's really cool.
479. 1:13:56All right, so there you go. It can just do cutaways. And by the way, I don't know if you've seen any a lot of the uh there there
480. 1:14:06have been a lot of MDs on Twitter that are having ChatGpt make posters of like the body's immune response to a virus
481. 1:14:18and with all the technical [ __ ] in it and they're basically like, "Yeah, these are all accurate. This is all accurate."
482. 1:14:25All right, so that worked. All right, let's do something else here. We'll do new chat here. Let go back to our list.
483. 1:14:31What's really happening here? Diagrams. Give it a messy human situation and ask for the hidden structure. Create a
484. 1:14:40visual diagnosis of a dysfunctional team meeting. This is hilarious, but we're not going to do team meeting.
485. 1:14:48Show the visible behavior hidden in Okay, here's what we're going to do. This is going to be good. If you all
486. 1:14:54have not watched the bear, you have to watch the bear. And you have to watch season two episode six. It's the Christmas dinner episode with
487. 1:15:05Jaime Lee Curtis. It is the most disturbing and compelling hour of television I think I've ever seen. Like
488. 1:15:15it's insane. It's insane. It's amazing. Might have been season was it season three or season two? I think it was
489. 1:15:21season two, but might have been season three. Anyway, the Christmas dinner scene with Jamie Lee Curtis uh in in the
490. 1:15:28bear. Holy crap. So, we're going to go we're going to go do this. We're going to go new chat. We'll do create image. I don't think you
491. 1:15:38actually need to hit create image. Oh, the other thing that you can do here, remember for for ages and ages and ages,
492. 1:15:44I was bitching and bitching and bitching and bitching about the fact that you couldn't do 16 by9 or 9 by6 images in
493. 1:15:52chat GBT. They fixed it and you can now even do up to a 1x3 um image ratio. So you can do super wide images or super
494. 1:16:00tall images if you want. So that's new and exciting. So we'll go landscape. Okay. So I'm going to say create a visual diagnosis of the
495. 1:16:10dysfunctional Christmas dinner in the TV show The Bear.
496. 1:16:25where Jamie Lee Curtis plays the mom. Dot dot dot power dynamics information
497. 1:16:41bottlenecks. Um wait, power dynamics. Let's see. Um um I don't know. Historical. I don't this could fail miserably. Historical context
498. 1:16:57uh information bottlenecks. Let's see. Uh let's see. Uh communication bottlenecks as a layered diagram. All right, that
499. 1:17:06one should be fun. Okay, that's pretty good. All right, what else are we going to ask it to do here? Before, during, and after process
500. 1:17:15simulation, not a timeline, but a state change map. Visualize what happens inside a restaurant kitchen. This is
501. 1:17:21cool. I I know what we're going to do. Um Andy used to work for Bubba Gumps. Uh so we're going to do this as a Bubba Gumps kitchen.
502. 1:17:30Visualize what happens inside a restaurant kitchen during dinner rush before the rush. Peak chaos recovery
503. 1:17:37post service cleanup. Okay, this this is cool. All right, copy this. We're going to go do a new um chat GPT.
504. 1:17:49We're going to do this. We're going to do visualize what happens inside a Bubba Gumps during during dinner rush. Um okay. All
505. 1:18:04right. Here we go. And we've we've got an expert in the house. If if Andy's still here, she can tell us if this
506. 1:18:09one's true or not. All right, back here. Competing mental models. Visualize how a doctor, a patient, an insurance company,
507. 1:18:18a researcher, and a Okay, this is really good. So, about two years ago when I was asked to testify on in the Colorado Senate on
508. 1:18:31their shitty AI bill that they passed into law. Yay. And then um a lot of people were asking me what I thought, what was my opinion of the
509. 1:18:45bill. And as I thought about it, I kept thinking about there's all these different points of view. And so I ended
510. 1:18:52up writing an article um I think it's on LinkedIn somewhere where I used chat GPT to to analyze the bill from the point of
511. 1:19:01view of 10 different constituents. So I tried to find 10 different stakeholders that had very, you know, opposing views.
512. 1:19:09Um, and it was really fascinating model. So this is a visual version of that. So this is pretty slick.
513. 1:19:15Copy this. We'll go over here. We'll do new chat GPT. We'll just do this. Visualize. I guess we'll this one will say make an image.
514. 1:19:27Create image. Oh, do we want to do a style? Let's do a style. We'll do it as an illustrated recipe. Oh, a blueprint
515. 1:19:41poster. Do we want a blueprint poster? Anime tarot card. That's kind of cool. Nah, we're not going to do any of that.
516. 1:19:53That's all that's going to distract. We'll do that with something else. All right, let's go see if we've got other
517. 1:19:59other things have done their thing. Which one was this? This is Oh, the same city block in three versions. One where
518. 1:20:07h housing policy favors density, one where cars d cars dominate the planning, and one where climate adaptation shaped
519. 1:20:15every decision. Keep the camera angle identical. Label the visual the visible clues. Research studies that base your
520. 1:20:24image in reality represented by the data and site your sources. Okay. Housing policy favors density,
521. 1:20:37mixeduse infill, apartments above shops, frequent transit stop, more homes on the same land, protected bike lanes, minimal parking,
522. 1:20:51research basis. Here's the sources. I wonder if those are real. And then this one is cars dominate the
523. 1:21:01planning. Oh yeah, that's we've been to those cities before. That looks like Jersey except you in this city you can
524. 1:21:09turn left. In Jersey you can't turn left. Look at the gas prices. The gas prices are relatively on point.
525. 1:21:19Long crossing distance, little shade. That's wild. And then this one is climate adaptation shaped every decision. The cool roof shade canopy
526. 1:21:32raised entries. I don't know what a raised entry is. Maybe the I don't even know what that is. Resilience hub community center
527. 1:21:44something support. Green infrastructure soaks up and stores water. Conventional pavements can reach 120 to 150 Fahrenheit. Green and blue
528. 1:21:57infrastructure reduces urban warming and adaptation. Fascinating. Wow. All right. Wild. I don't know. I don't know anything about that, but
529. 1:22:12if you know anything in housing that there's something there. Oh, cool. Okay, Garrett just DM'd me a good prompt and image. Let's let's go
530. 1:22:25look at some of these other things. We're sorry, but the prompt may violate our guard rails. Why? Oh, okay. Uh, so
531. 1:22:35remove the actress's name from the prompt. Let's see if it'll let us do the TV show. That's that one. So, let's close these if they're done.
532. 1:22:51This one was visualize what happens inside a Bubba Gump's restaurant kitchen during Russia during a dinner rush
533. 1:22:58before the rush peak chaos recovery and post service cleanup. All right, here we go. I'm What I'm bummed about is did it
534. 1:23:06did it give us a logo? Oh, it sort of did. Look, it gave us the uh the uh what you call it the um the floats and the ropes.
535. 1:23:19The fry station, the grill, the sauté. Those don't look accurate. They look too deep. The prep station, dry storage,
536. 1:23:29peak chaos, high volume, high stress, tickets firing, cold storage. This looks generic. I bet this is [ __ ] Maybe it's not.
537. 1:23:44The stress heat map. So this is recovery and regroup. And then this is post service cleanup. All right. This is not bad, but it looks
538. 1:23:58generic. But you know what would be cool is you could take a picture of the actual kitchen and then do that. Andy
539. 1:24:03says not even close. Yeah, exactly. Yeah, this looks like [ __ ] This looks like [ __ ] All right, so catchy BT fail.
540. 1:24:15Check your regulars. Okay, this is this is why we bring in the experts. Um, irregulars. Here's the irregulars. Refresh.
541. 1:24:31Rick McCaulay. Hold, please. Is this the one here? What are we looking What are we looking at? >> Yeah. So, first of all, you've got a
542. 1:24:43that birthday picture there from Lori. um under chat for the uh hold please. That is your your birthday greeting.
543. 1:24:52>> A that's sweet. Look at my cars on the shelves. That's so cool. That's great. >> But what I wanted to share, Rick shared
544. 1:25:01this in the uh chat. This is something he put together. The notebook LM >> under uh under chat. >> He's got a visual reference guide. I
545. 1:25:12think Notebook LM should just like buy this from him. Uh he's put it out there. It's 132 different visual style guides
546. 1:25:21for Notebook LM. If you want to take your notebooks and make them uh more realistic or visually dynamic
547. 1:25:30>> or just like less less cliche. This is super cool. Who Rick did this? Rick McCauley. >> Yeah, Rick. Yeah. >> Senior senior professor
548. 1:25:38>> Rick McCauley. >> Rick, this is awesome. Is Rick here tonight? >> Yep. >> Oh, that's so good. This is so good.
549. 1:25:47Yeah. Look at these things. This is awesome. I'll tell you what I like about this, Rick, is this is a thing that is
550. 1:25:54immediately groable. Like, you don't have to read this to understand the value of it, right? It's like it's
551. 1:26:00immediately here. Here's the prompt, right? This is so good. It's really good. The conspiracy theory, the murder board. These are good.
552. 1:26:17Yeah, this is super cool. The exploded architects. So, wait, how do people get to this? Ah, notebookm.riickmau.com.
553. 1:26:27Actually, no. How you get to this is you go to the AI learning lab. You go to the chat. Do me a favor, Rick. Would you
554. 1:26:34also share this or or Brandon, you can do it too. Would would you share it in the community feed? Um because that seems like something
555. 1:26:43valuable for people outside of here. >> Yeah, absolutely. And I'm writing to you on the sticky. I'm still on stage. But
556. 1:26:51also check Gareth's DM because that it it's a really cool prompt. >> Oh, it's a DM. Okay, cool. Groovy.
557. 1:26:58Groovy. Groovy. Groovy. Groovy. Groovy. Groovy. Groovy. G. >> It's the first one there. It's with both of us. >> DM'd it to both of us.
558. 1:27:11>> Got it. This is a great prompt based on subject. Create a high quality vertical encyclopedia style infographic. Okay.
559. 1:27:26Oh, this is cool. Look at this thing about an octopus. Masters at of adaptation. That is cool. Okay, let's
560. 1:27:35take that prompt. This is good. Liking this a lot. Based on all right, this is good
561. 1:27:54chat GPT. You know what I'm going to do? I'm going to turn up thinking to extended thinking. So, this one's going to take longer,
562. 1:28:05but I wonder if we're going to get something better. All right. The image should not look like a regular
563. 1:28:19poster. Instead, it should feel like a structured knowledge, guys. Okay. So, what do we want to do? A poster of
564. 1:28:26turtle. We should do a turtle. Should we do a turtle? We could do a turtle, but a turtle's like an octopus. I feel like
565. 1:28:33What would be something fascinating? We could do a tardigrade. What's something good and geeky we should do one of these
566. 1:28:40cool posters of people? An axelot. Axelatt lottle. Axelottle. I don't know what an axelottle is.
567. 1:28:55That's why it's a good one. Axel is like trending in the elementary school group now. >> All right, we're doing an axelottle.
568. 1:29:06Listen, I'll do a Bubba Gump shrimp. Andy can tell us that's not what a shrimp looks like cuz you know, we got
569. 1:29:15experts in the house. Um, okay. There's that. Oh, what's this? Oh, this is the bear. Did it get it right?
570. 1:29:36No, it completely ignored I mean, this is cool, but it completely ignored the uh You know what? Let's tell it it got this
571. 1:29:52wrong. I know what we can do here. Let's close this and go. Um, I want you to research the famous episode from The Bear. And
572. 1:30:13tell me the plot and what all the characters did. and the arcs through the episode.
573. 1:30:29Let's see if it can figure that [ __ ] out. I'm going to ground this in the actual episode rather than memory blur the chaos.
574. 1:30:40All right, so let's let that do that. What's this one? Oh, this is how a doctor, a patient, an insurance company,
575. 1:30:48and a researcher all see the same thing. The same chronic ill illness, five different mental models. The doctor,
576. 1:31:06patient presentations, assumptions, risk factors, care pathway, treatment plan, monitoring, the insurance company.
577. 1:31:16We're not going to pay for covered benefit. No, not covered. Utilization review denied. This This one should just be a giant red
578. 1:31:27not covered. We don't need a We don't need a flowchart to understand that you're not going to pay us you [ __ ]
579. 1:31:35Okay. Patient lived experience math. Pain, fatigue, sleep, work, family, money, my day, my way, my reality. This is kind of nothing. This is
580. 1:31:48This is This is one This is one that's kind of like the Bubba Gump thing that because the prompt is kind of generic,
581. 1:31:55it gave a really generic answer. This one's crap. So, right now, I would say we're about 50/50 useful versus crap.
582. 1:32:03Maybe. Maybe. Oh. Oh, there's an axal loyal. An axelottle. Wait, is it lottle or loyal? Is this wrong up here or is this
583. 1:32:16which one's right or wrong? >> That is wrong. It's an axelottle, but you might have typed it wrong. >> Uh, let's see.
584. 1:32:23>> It is an axelottle. That is a picture of an >> I did. I Wait, hang on. Uh, I spelled it wrong, >> but it got the right creature. That is
585. 1:32:34what an axelottle looks like. >> What? It put axelottle correct in the in the little the Mexican adelottle at the
586. 1:32:40bottom. Okay. Axelottle. Adalottle. All right. Well, that'll make us a new one. We'll go look at that when it's when
587. 1:32:47it's ready. That's cool. And then what's this one? Okay. The fishes on screen. The road says flash Christmas Eve 5 years before. Okay. Um,
588. 1:32:59let's see. Um, do cartoon characters of all the um characters from the show that look a lot
589. 1:33:16like them. All right, let's see if it can let's see if it can do the characters and then we'll have it redo the graphic. Okay,
590. 1:33:24let's go look at one more of these. I want to I want to be con conscious of time. Um, okay. Decision consequences trees
591. 1:33:35create a branching visual that Okay, let's see. Oh, axelottle is done. Did it spell it wrong again? Wait.
592. 1:33:52An exaloyal is a rare boron silicut material. Is that right? Axel loyal.
593. 1:34:06Act loyal. No, it just made that [ __ ] up. Just get okay.
594. 1:34:20I am looking for the animal, not your fake crystal structure. It's X
595. 1:34:40lot. All right, go work. These do not look Mikey. Oh, yeah. That looks like Karm.
596. 1:34:56Yeah, that looks that looks like the mom. All right. Yeah, there's the pregnant sister. There's Neil. All right. So, Okay. Okay. Great.
597. 1:35:13So now, okay, let's go back up here. Uhuh. Uhuh. Let's go grab the original prompt. We're going to throw it in here and say,
598. 1:35:27"Okay, now based on the plot and the characters, make a visual All
599. 1:35:57right. So, we'll see that from Rick. Use a photo of Kyle. Use this prompt. Create a 10 x10 grid of the art styles from cave
600. 1:36:06paintings to modern day. That's kind of fun. All right, we'll do we'll do one more. I'll do that for Rick. So, let's do
601. 1:36:15uh where are we going? Chat GBT. We're going to do add photos and files. I got to go find a picture of me, Kyle.
602. 1:36:25I've got so many bastardites. Oh crap. So, here's a here's a fun thing. when your when your Mac um if you don't
603. 1:36:35restart it enough, the indexing stops working because they've only been around for 30 years,
604. 1:36:56but you just keep going on about how I Yes, but I can't search for for an image of
605. 1:37:12me. Oh, I know what I can do. I'll go Yeah, I'll go here. Uh,
606. 1:37:28let me see. Here's a good one. All right, I'll do this. This one I was up in Boston. I was taking a little walking tour of
607. 1:37:42Innovation, whatever the hell it's called. Innovation Mile. And we'll go here. We'll go here. We'll paste that in. Bang. Oops.
608. 1:37:56I guess it's on my desktop. Desktop screenshot. There we go. All right. From Rick failed to upload. Come on.
609. 1:38:12All right, that's going. Come over here. All right, take Rick's prompt. Kyle, use this problem. Create a 10 by10 grid
610. 1:38:29of all the art styles from cave paintings to modern day and sequence order showing this character in that style one to one. All right,
611. 1:38:41a 10 by 10 grid. All right, there we go. That's going. Let's see if we got the bear. Oh, here's the axelottle. Okay.
612. 1:38:51Okay, people. It's going to be okay. We've got the axelottle. Um, where it is primarily in Mexico. It's actually
613. 1:39:04really cool. External gills. Heat tolerance two out of 10. It's living in Mex Mexico. I guess it lives under [ __ ]
614. 1:39:20It's not a fish. It's an amphibian. It has one of the highest regenerative capabilities known in the animal kingdom.
615. 1:39:31Ancient lakes, living wonder, future work worth protecting. Regeneration, extraordinary ability to regrow limbs, tail, gills, heart, spinal
616. 1:39:42cord, and more. So cool. All right, people. I mean I mean like this is the kind of [ __ ] Can you imagine being one of the
617. 1:39:56companies that makes these kind of posters for classrooms? Like that business is done. Done. >> That business probably knows how to
618. 1:40:07spell axelottle though. >> Shut up. Shoot up. >> We still did We still didn't get it right. It's axolottle.
619. 1:40:16>> Oh, did I still Did I spell it wrong again? It's all right. Doesn't matter. Xol. I don't care. All right. Whatever. Oh,
620. 1:40:30yeah. It got it right down here. It got it right a second time. I wish it would have fixed it for me before it made me
621. 1:40:36look like a dumb dumb. All right. Here's Did that not Wait. Based on the plot, the characters. Oh, no. It didn't do it.
622. 1:40:50Did it? Oh, there's Karm. There's Mikey.
623. 1:41:10No, Donna. Donna wasn't the emotional center of that. All right. I would consider this a fail. All right, we're we're we're about
624. 1:41:2050/50. Fail to to the other. All right, let's see what else do we have here. We got one more. Oh, here's here's the hundred art styles.
625. 1:41:32Wow, this is crazy. Cave painting, ancient Egyptian, early Renaissance. These are funny. Cubism, futurism.
626. 1:41:45This is good. Here, let me we'll uh let me download this. Go here. We'll bring it up.
627. 1:42:00So, this would be a good thing to take into one of those upscalers and upscale all this stuff. Roak co
628. 1:42:16futurism surrealism data collage. Amazing sticker bomb
629. 1:42:30>> before your laptop completely dies. >> Yeah. do want to send you back to the AI regulars inside share irregular things.
630. 1:42:42Chef Kelly Anderson has done some ad spec mockups for her new project. And then while you're here, we'd also like to remind folks where
631. 1:42:56they can go to register for office hours on Friday and our AMA for Friday night date night. >> Beautiful. That that's up in events. Yeah.
632. 1:43:08>> Yes. >> Yeah. Office hours. So over here in the AI salon that you're in um on the left hand side are all sorts of different
633. 1:43:22things you can explore. But up at the very top if you go to events um here are all the events that are
634. 1:43:27coming up. So like this Friday we've got office hours. And if you haven't been to an office hours you should come. Uh if
635. 1:43:34you're in mastermind, tomorrow we kick off cycle three of the mastermind practice lab. Um that's now going to be
636. 1:43:40co-hosted by myself and Sid Harrow. Um really good. So lots of stuff. So go check out all the things happening. Lots
637. 1:43:47and lots happening. Okay, back to the AI learning lab. Share irregular things. Chef Kelly Anderson, not bad. It was
638. 1:43:57hard to work out the details with. Do do you like the dark or the light better? I think I like the light better.
639. 1:44:05Um, the die converter. Oh, this is your Oh, this is cool. So, so Chef Kelly Anderson, corporate chef, worked for big CPG companies for a
640. 1:44:15long time and is now helping those big companies make the make the conversion from, you know, bad health destroying
641. 1:44:26artificial colors to natural colors, which the government is mandating. And so she's helping them make the make the
642. 1:44:33uh the transition with this thing called die converter that she created. It's it's amazing. Um although you know what I
643. 1:44:43I think the dark one I look at the I look at the information more. The light one I look at the bear more and I don't
644. 1:44:51really look at the information. Clean color ROI isn't an oxymoron die converter on board Q2 ship Q4. Actually, you know what I would do,
645. 1:45:02Kelly? I would I would AB test these. Um, I find this one easier on the eyes, but I'm not actually looking at your at your
646. 1:45:12data. This one, I'm looking at your data, but I don't really see the headline. So, actually, maybe with the
647. 1:45:17black one, use use like a a highly compressed black font, like a darker font. Um, that'll pull the headline out
648. 1:45:25more. I think this sans Sarah font um is is getting lost because I'm looking so much down here. Um I would make the I would make the bottom
649. 1:45:36text a little bigger and I would make this a much bolder um type face, but this one I think I'd make this a little bit bigger.
650. 1:45:48But this they're both really good. They're both really interesting. Um I think they're worth testing. So cool.
651. 1:45:55Nice. And I assume that was done in chat GPT, right? Hold. Please do not adjust your TV sets. That thing's really cool. All right, I
652. 1:46:04think we're done there. That one's done. We're done there, right? Yeah. I couldn't ever spell axelottle. All right, people.
653. 1:46:16AI learning lab in the books. Questions, thoughts? Good. Um, keep doing what you're doing. Keep
654. 1:46:31sharing ideas as we do these things. So, Friday, Friday office hours. Uh, go check events, RSVP for that. Come to
655. 1:46:38office hours on Friday. Um, and then Friday night date night is going to be an AMA. So, so here's my request. If there's 20 of you here, my
656. 1:46:49request is this. You've got two days. I would love for you to find a friend and bring them to the learning lab on
657. 1:46:58Friday night date night. Invite invite someone who's maybe afraid of AI or maybe they're just getting into it. Um
658. 1:47:06because I want Fridays to be AMAs. Like I want to be able to answer questions and so maybe we can come with
659. 1:47:14new people who maybe like even if we got basic questions like how does an LLM work, things like that. I'm like I'm
660. 1:47:21totally open to it, but especially for those of you who are irregulars, um maybe find a friend and and bring new people. Bring a date.
661. 1:47:32Bring a date. Leave without one. You're 61. You wear it. Well, it's not so bad. Thank you. I appreciate that. That's very kind. Um happy
662. 1:47:45birthday. Thank you all so much. Uh uh uh uh uh uh uh uh that's up in advance. Andy is appropriately skewering
663. 1:47:55me from not understanding the structure of my own community. Thank you. I'm new here. Oh my god. All right, everybody.
664. 1:48:11Fantastic. This was good. I feel like with this with this new image model with chat GPT, what I would
665. 1:48:21strongly encourage you to do is just go play. Like I didn't I didn't even scratch the surface. And I feel like the
666. 1:48:28the nature of how I wrote that prompt about give me the ideas. It gave me a bunch of similar ideas like like one thing that I didn't even
667. 1:48:37play with is like visual styles. like, is it good at taking an image of me and making it look like me in different
668. 1:48:44scenarios and different looks and different costumes, things like that? Um, yeah. So, so go play with it. Go play with it and
669. 1:48:56then think of who you might might bring on Friday. Bring a friend and then Friday's going to be an ask me anything.
670. 1:49:03And we'll do that. Maybe we even bring someone up on on stage if you want to if you want to talk through something. We
671. 1:49:09can do that. Um, yeah, I'm kind of digging it in here. I'm feeling There's something nice about the focus of having
672. 1:49:17all this energy inside the salon. I'm liking it. I'm digging it. Uh, so thank you to Andy and Brandon who really made
673. 1:49:23this happen. I just had to show up. Uh, and apparently I've got to learn what's in my navigation to not get a rash of [ __ ] about it.
674. 1:49:33Nothing tomorrow. Yeah. So the so the uh learning lab live is is switching to Monday, Wednesday and Friday. The reason
675. 1:49:40being that Tuesdays and Thursdays are historically screwed up. I've got like CEO dinners and and uh whiskey night and
676. 1:49:49then Tuesdays are sometimes the salon and sometimes other things. What it's going to allow us to do is do salon
677. 1:49:56events on those nights that don't interfere with this. If anyone wants to do things in the salon, do them on
678. 1:50:01Tuesdays and Thursdays and that won't get in the way of this. So, um, so yeah. So, Monday, Wednesday, Friday in the
679. 1:50:07salon, I'll be going live at 7:10 Mountain Time outside of here in the pre-show pointing people in. So, if you
680. 1:50:15want to hear Champion and you want to hear me sing and just figure out what's going on, you can go out there and play.
681. 1:50:20And then we start in here at 7:30. All right. And then mastermind tomorrow, the practice lab at 10:00 a.m. Mountain
682. 1:50:26time. So, noon Eastern, 9:00 am Pacific. If you're in the mastermind, we're beginning a new cycle. and uh Sid Harrow
683. 1:50:35is is our new co-host for the mastermind. So, it's going to be a new cycle. If you haven't created a personal
684. 1:50:43practice around how you use AI, join the practice lab. It's an 11week cycle and it's it's really um it's really an
685. 1:50:52amazing bunch of people that are in there. We'd love to see you in there, too. All right, cool. Peace out, everybody, and I will
686. 1:51:01see you on Friday.