11/10/2025 - The Steam Engine for the Brain: Why We Fear AI and How to Embrace Its Creative Power

Transcript

1. 0:00Oops. [music]
2. 0:28>> [crying] >> It's been something baby I've been trying to say. [music] And it seems I don't know how [music]
3. 0:42past and a future now surrounding me. [music] Surrender to whatever cheat can be found [music]
4. 1:03like all of the rest. I would have quit you long ago, but I couldn't do that. [music] Oh, tell me now and why never went too well. [music]
5. 1:18Make a man crazy, make him cold as hell. And a woman [music] that you wish me well, but in spite of your trying, still
6. 1:30going to have to find my way through. [music]
7. 1:44>> [music] [music] [music]
8. 2:01>> Go. [music]
9. 2:18>> [music]
10. 2:33[music] [clears throat] [music]
11. 2:52[music] >> Standing between [music] you and a hard place is insane. [music] Standing too near
12. 3:09you in a fire makes it clear. Your trouble to me. Reubble catch you say [music]
13. 3:27leading in close. Smell of your perfume and spit scares me most. >> [music]
14. 3:41>> Oh, good evening good people. It is Monday. TGIM, what's happening? You well? You good? You good? [music] I'm okay.
15. 3:54I had one of those I had one of those weekends where [music] if you're an adder, you'll get this. [music]
16. 4:03You know those conversations you have in your head all week where you're like Saturday I'm going to get a bunch of [ __ ] done [laughter]
17. 4:12and then that justifies you not getting [ __ ] done during the week and then Saturday comes along you're like like
18. 4:18nine o'clock I'm going to definitely start getting [ __ ] done and then 10:00 comes and then there's a show on and
19. 4:25then it's like you're like by definitely at noon this is we're going to end the this and then noon we're going to start the thing and then
20. 4:35four and then it's 7 and you're like well to but tomorrow I'm going to wake up early. [laughter] That was my weekend.
21. 4:45I got nothing done. Nothing done. Nothing. Zero things. Zero things done. It was completely unproductive.
22. 4:54Um was I completely unproductive? No. last night. Last night, what I got done was I um [music]
23. 5:08I made a video per song for my Sydney musical. And the what the video is is is me. It's got the Sydney logo on top and
24. 5:18it's me talking about the the what's going on in the book, what's going on in the plot, what's happening, and then I
25. 5:28play the song that, you know, is comes out of that action. And so I made 17 videos last night. Can't hear over the sound of your shirt.
26. 5:43[laughter] You're picking on my clothing. It's It's just not right. None of you people are right. Um cams and bars. Cams I already did.
27. 5:57Bars I already did. I'm ahead of you there, buddy. [music] So anyway, so anyway, I make these videos that if you watch
28. 6:12them back to back, you essentially get the whole plot of the musical without a spoiler. I did it without a spoiler
29. 6:19and you get to hear all the songs in the current state that they are. And it's really cool. And then I put it on
30. 6:28TikTok and they will not [ __ ] show the videos. [laughter] One of them has three views. The video I did saying, "Don't watch
31. 6:37these videos," that got 300 views. But like my my Tik Tok right now is [ __ ] trash. [music]
32. 6:53[music] >> [music] [music] >> Heaven, regarding items created on AI,
33. 7:08do we really own the copyright for it? Well, um, songs that have been generated with AI, as long as they have human contribution,
34. 7:20the copyright office says basically just because you use an AI tool, it does not create an additional burden to
35. 7:29demonstrate human contribution, right? Because they basically like the copyright office is like they they allow
36. 7:35you to copyright photographs, right? Because technically a camera is just like AI. You push a button and out comes
37. 7:42a result, right? You can copyright photographs you took. Well, you you have to demonstrate. I went to this place. I
38. 7:50took this photo and here it is, right? I took it with this camera, whatever that is. So whatever the whatever the hurdles are
39. 8:00to be able to copyright it and prove that you did more than just push a button then yes they are copyrightable.
40. 8:07Ascap and BMI and whatever the third one is there's a third [music] song monetizing u what are they called services or agencies?
41. 8:20SEESAC. Yeah I think it's SEESAC. the three of them last week announced that partially AI generated songs. So if if
42. 8:30there's human contribution and and they're not clear like like I saw a guy on TikTok called one of the agencies and
43. 8:38said what exactly does that mean? They don't know, right? But like if you wrote the lyrics or like the song that I did
44. 8:47the uh the the the [ __ ] carnival song before the lights come on. Um it was uh let's see. [music]
45. 9:03[music] That lick I invented here on the stream and then I stuck it in. And then I I thought, what does that
46. 9:14sound like to me? And I was like, oh, it sounds like people walking like in a dirt road carnival and probably in the
47. 9:21morning with the mist still coming up in the fields. And I'm like, oo, what if it's like a young man and a woman trying
48. 9:28to figure out if they're going to be more than friends? So, I had that idea and then I put that into chat GPT and
49. 9:34the lyrics it wrote were [ __ ] stunning. And then I said to ChatGpt, "What should it sound like?" And it described it. And so I uploaded my
50. 9:44little guitar lick lyrics that were my idea but executed by AI with a description of the music by AI. And I
51. 9:54put that in there. And the first song it generated was really good. And then I generated like 30 more and it was sort
52. 10:01of the 32nd one was the one I was like, "Ooh, that's the song." Is that enough human contribution? I don't know. I think it is.
53. 10:13Right. I've done other things where I've done more. I've done other things where I've done less. But in all cases, I'm
54. 10:20still the creative director. Right. Follow-up question on Tik Tok. I did a training AI for kids using AI Udemy. Ask me
55. 10:32if I own the copyright. Was not sure. [music] Listen, I think we're in a very weird time right now.
56. 10:52When Photoshop first came out, when digital cameras first came out, photographers were like, "Well, that's not real photography.
57. 11:02That's not that's not art. What we do is art. You can't have art and pixels." Okay? They're square. Everything looks choppy.
58. 11:12That's not real photography, right? And if you used Photoshop, it's oh, you're manipulating reality. That's
59. 11:21Listen, that's not what we do. Even though they dodge and they burn and they manipulate reality in the dark room,
60. 11:28right? Yeah. But that's art. That's art. What we do is art. What you're doing in what do they call it? Photo slop. I'm
61. 11:36pretty sure they call it photo slop. That's not art, right? That was that was photographers when digital cameras came along. [laughter]
62. 11:47So, we're exactly back there. From where I sit, it doesn't [ __ ] matter if you use AI as a tool in a in a creative chain of craft
63. 11:58that involves a human being intentional about what they want. Um, Udemy certainly wouldn't say, "Did you
64. 12:13use Grammarly to correct anything in this?" If you did, if you use Grammarly to correct any of your sentences in your
65. 12:20course, we need to disclose that to the paying public. That's effectively what they're saying. Now, what they're trying
66. 12:26to prevent against, I don't I don't have a conceptual problem with. They're trying to prevent against people just
67. 12:32writing a bot that spits out 600 courses an hour and and floods Udemy with crap, right? But like, where's the boundary between
68. 12:44what's copyrightable or not? If it was your idea and you had concepts and you put them in there and then AI executed
69. 12:51them, from where I sit, you're acting as the the arbiter there. You're acting as the curator there. So yes, that's your
70. 12:59idea. It would be no different than if you said if if you ran a company and you paid, you know, you underpaid interns
71. 13:08to write course material. You had a you had a whole structure, right? Before AI, this is how you would have done it.
72. 13:14You'd have been the big boss. You'd have been sitting there like, I got an idea for kids. They're going to we're going
73. 13:18to teach kids software. Hey, Jimmy, listen. Uh, I want you to make a course for kids. Um, let's say between 8 and
74. 13:2612. Um, let's we're going to teach them uh writing and uh oh, like how to use digital tools to make images to make
75. 13:35story book. We're It's going to be a storybook course. All right. And like I I want an hour version and a four hour
76. 13:42version. just go, just go make that, right? And then Jimmy goes off and makes that. And he comes back and hands it to
77. 13:50you. You're like, "Oh, Jimmy, hey, you know, could you try it? Give me try it one more time. This time, could
78. 13:57you create this course as if uh you had talent, Jimmy, right? You send Jimmy off again." And then he redo it and he's humiliated but
79. 14:07he does it cuz you did it in front of Jenny who he's kind of got a crush on but he's a little awkward because it's
80. 14:13Jenny and Jimmy and he doesn't really want to ask her cuz people will make fun of him especially if she says anyway
81. 14:19that's not the point of this. The point of this is Jimmy gives you the course and you're like perfect Jimmy awesome.
82. 14:28And then you go out in the world you're like look I made a course. How's that any different than what you [ __ ] did with AI? It isn't.
83. 14:38It isn't. [laughter] It's not. Come on, Jimmy. Exactly. [ __ ] Jimmy. [music]
84. 14:55Wait. Um. [music]
85. 15:13>> [singing] >> Um, so Pavin, I don't know if that answers your question. I am not an IP attorney clearly. Um, but I have
86. 15:28thoughts on this. like there are there are other models in the world that we can compare this to. So I think most of the reaction to to AI
87. 15:44right now is this. It's a you know what it is? It's a weird some sometimes on this channel people in this community
88. 15:53when they first start using these tools and especially if they know how long [ __ ] takes, right? And they're like they
89. 16:02they know how long it takes to Photoshop something together or they know how long it takes to kind of words smmith
90. 16:07something or just even format something into like an outline form. It's just like a pain in the nut sack, you know.
91. 16:16and and then they make something with AI and it does it good or really good or pretty good and they know how long that should take,
92. 16:27right? So, if they know that the thing that they just made in 38 seconds should take them 4 hours, one of the phrases
93. 16:35that I hear a lot is, "I feel like I'm cheating." Right? And part of that's coming out of the educational world right now where
94. 16:44teachers are like, you know, if these kids use AI, they're just absolutely cheating. They're not engaging their brain.
95. 16:51You know, we need teachers to teach. We need kids to listen. They can't just get the answers. So, I don't
96. 17:09>> [music] >> It's no different than anything. Like you can be a lazy [ __ ] with tools or without tools, right? You
97. 17:25can be a lazy [ __ ] and use AI to pull the wool over everyone's eyes. Or you can be a thoughtful, intentional,
98. 17:35creative, critical thinking human being that's trying to solve real problems. You just happen to be using tools
99. 17:44that are magical, right, Valerie? My 77year-old mother says chat GPT is the best thing she's ever used. Yeah. Well,
100. 17:53it's Yeah, because it is [ __ ] remarkable. We're living in the future. I don't know. I don't know how it is
101. 18:06possible that we have gotten so cynical so quickly. Although there's still a lot of people that are just like AI is evil. AI is the devil.
102. 18:14Ann Murphy and I were interviewing someone on Sunday for the AI readiness project >> and and she's Haitian and she said, you
103. 18:22know, she teaches AI to to her Haitian community. Like a lot of them are like they're afraid of they're like I hear
104. 18:30it's the devil. She's like no. No, it's not. It's not the devil. It's not the devil. It's not evil. It is. It shapeshifts to to sound like
105. 18:43what we want it to sound like. They're like, "Well, I put a prompt in and I asked if it was the devil and it said
106. 18:48yes." It's like, "Well, yeah. That's how it works. It will it will tell you what you want to hear. No kidding. It's like an an external
107. 19:00drive for your brain. Yeah, it is. [music] Well, like so it literally Valerie like what you're hitting on. David Shapiro,
108. 19:10this is where I first I made this leap. David Shapiro is the one that introduced me to this leap and I and I think it's a
109. 19:16brilliant it's a brilliant metaphor. The steam engine augmented our physical strength. Right? Before the steam engine, you had strong
110. 19:28horses, strong oxmen, and strong men. Generally, right? Generally speaking, doing the heavy lifting. Like literally
111. 19:37doing the heavy lifting. And along came the steam engine. And I'm sure the men of the day were like, [laughter] "Yeah,
112. 19:44you're going to use that machine to lift bales of hay like this?" And they throw them up on the they lift them up with
113. 19:52their giant muscles. And then all of a sudden, some nerd, some engineering nerd figures out how to attach a steam engine
114. 20:03to a pulley system. And instead of lifting one bail of hay, he's now lifting 50 bales of hay. And that muscle guy was like, "Well,
115. 20:15that's just, you know, steam engines are it's going to ruin everyone's lives, right? Like the steam engine did for our
116. 20:23muscles what AI does for our brains." And so it makes perfect sense that people are freaked the [ __ ] out
117. 20:34because they're like I I take great pride in my brain. I This is an Ivy League trained brain. Tik Tok idea. May
118. 20:42AI maybe AI Shon Salon should have a store where we can sell our creations. Pavan, that's a really good idea. Okay. So yes,
119. 20:54I'm working right now with Cindy [ __ ] So, so Cindy [ __ ] is the one that actually gave me this idea. Um, and it
120. 21:00was like two weeks ago, like you're you're right on you're in the you're in the zeitgeist of the AI salon right now.
121. 21:05You you're you're in the zeitgeist. Um, she's been doing courses and she'll do like four-week courses in the salon. And
122. 21:15then she basically has just dedicated her November and December this year of taking all of her ideas that she's have
123. 21:22been floating around in her head and she's been doing talks and this and that and she's going to turn them all into
124. 21:26content. She's going to turn them into courses. And one of the things she was going to do, she was going to put
125. 21:31together a paid course. And so she started looking for like what are the paid platforms where I can go do a paid
126. 21:37platform to do a paid course. And like midway through researching it, she was like, "Wait a minute, we've already got
127. 21:43a community with people in it who like want access to knowledge. Like, could we do a revshare?" And so I'm going to
128. 21:53design that with her for that thing. But then I think I think the idea of doing an AI salon store is a really good idea. Um,
129. 22:04so I I really like it. I really like it. It's weird that the arguments against AI are identical. I would have expected the
130. 22:13inclusion of a mind to make a difference. I agree on that. It should never have been about getting the answers. School should be for mental
131. 22:22development. And you know what? You know what's funny? archetypal like the the speed with which AI can augment mental development like
132. 22:36like it's just about how you frame it. Everything's about how you [ __ ] frame it. Everything we can vibe code it on lovable and
133. 22:46Shopify. Oh, that's an interesting idea. Although, you know what's [ __ ] up, Brandon? Unless it's changed, you can't
134. 22:51embed um a lovable app in the AI salon, which is a drag, but we could do it outside of the of Mighty Networks. Um
135. 23:00such a good idea to do a store. Let's show Open AI what it was supposed to look like. That's a great idea,
136. 23:06actually. Well, I wasn't allowed to use a Texas Instruments calculator in math class. Right. Right. You know, if they
137. 23:15use these, what do they call them? A calculator. You know, in my day, a calculator uh was a woman that sat in
138. 23:22the back room uh doing math on a pad. Okay, that was a calculator. I don't know what this box is that everyone's
139. 23:28carrying around. But what I can tell you this, they are not learning mathematics when they push the buttons on a box and
140. 23:36get the answer. How are they ever going to learn? Right? Same [ __ ] different technology. >> [laughter]
141. 23:48>> I would I would argue in in the doomer's favor, in the AI haters favor, um AI is scarily more capable than a calculator.
142. 24:02But the same thing that happened with a calculator is going to happen with AI where because people had calculators,
143. 24:10people that were interested in math had the calculator do the problems that took the most time and it it allowed them to think at a higher
144. 24:21level about math. And then when spreadsheets and computers computers first and then spreadsheets came along,
145. 24:28they could do that even faster. Now with AI, they can do that even faster. It's allowing them to live at a higher plane
146. 24:35of scientific expression or of creative expression. And that's what people aren't getting. It's going to replace us. No, it's not.
147. 24:47We're still here. It is meltdown Monday. I am so glad that I could live up to my own expectations about Monday. [laughter]
148. 25:05Oh my god. I had lots of people talking, taking time on my live to condemn me for using it for art of all things. Yeah.
149. 25:15Yeah. There's Corey Sandler, a woman who has dedicated her life to art, right? And you know, you know what, Corey, I
150. 25:26guarantee you, I promise you, and you might even know the history of this, you've got the kind of brain where you probably do.
151. 25:34I am sure there was a time in pottery history where someone invented the the wheel, right? They invented the potting wheel.
152. 25:46And I bet the potters of the day were like, "Oh, oh, you're using the simple wheel. That's not real pottery." Real
153. 25:54pottery takes hands and manipulation and smoothing it. How are you going to smooth the edges? You spin and it
154. 26:01smooths it for you. You big flipping loser with your wheel pumping away with your foot. Do you know how how big your leg is
155. 26:10going to be? [laughter] I bet you're right. Exactly. The [ __ ] hand potters were looking over at the wheel people with the mud
156. 26:22splattered all over them. Look how dirty you are. I can I can [laughter] my pot with my hand over here. Look how
157. 26:29lovely it is. [clears throat] [laughter] Every [ __ ] technology every [ __ ] time. [laughter] [music]
158. 26:46[music] >> [music]
159. 27:02>> Oh man. [laughter] We real world season one. Exactly. Real real potters of the Renaissance. [laughter]
160. 27:17Re re Wait, Corey. I don't Where do you live? Cory, are you in Oregon? We But we should we should seriously do a reality
161. 27:24show. Maybe one of the things we sell in the AI salon is a TV show, Real Potters of Vermont. [laughter] [laughter]
162. 27:37Artisal Bakers of Portland. [laughter] Oh, that's good. Oh, yeah. Yeah, exactly. Oh, yeah. When when they invented fire, all the people
163. 27:52are over eating like raw berries going, "Oh, sure. Cook your meat. You don't have to chew as hard, you lazy." You
164. 28:00know what that's going to do to your jaw muscles? [laughter] You know, they've got jaw muscles out to here. Your jaw
165. 28:06muscles are going to be nothing. There's going to be little flabs with your fire cooking your meat. [laughter]
166. 28:15If you don't have blood dripping down your chin, you're not a real meat eater. You with your good. It's really good. [laughter] Oh my god.
167. 28:35Hey, Joker. What's happening, sir? I hope you're doing well. There's actually something we could look at tonight that I think is um
168. 28:54[music] I can hardly tell how excited I get at new series I'm working on. Oh, that's cool. Summon a regular's heart exploded. Nice. [music]
169. 29:10Wait, a new series. A new AI art series. [music] Wow, that's a that's a very bad chord. [music]
170. 29:31[music] [clears throat]
171. 29:46So, here's a here's a here's a thing for us all to consider. Six-year-old tells dad, "Oh, I've got something really cool. I don't know if
172. 29:55Jim Ross is in here. Are we in tune?" No, we were in tune. I just had my finger on the wrong string. It was
173. 30:00supposed to be that chord, but I made Wait, no. No. [music] Oh, that's it. There's supposed to be that chord. And I made that chord.
174. 30:17[music] And I'm not in tune, by the way. It's not It's It's not just It's not just my shitty guitar playing skills. It is also
175. 30:24that I'm out of tune. Do you guys ever listen to Jake Jacob Collier? [music] His His mastery of music theory is it's
176. 30:38like [ __ ] Mozart. It's like listening to Mozart. He's like he's like any you can make any chord work and you can get to any chord
177. 30:46from any other chord and and then he's got he he just has like all these [ __ ] tricks to it's amazing. It's he's astounding.
178. 30:56And then he's also he also is into micro tones and micro beats and just crazy poly rhythms and [ __ ] like that. He's insane. Um
179. 31:11we love your guitar skills. Thank you. [music] Wait. [music]
180. 31:27>> [music] >> Um I don't know what was I talking
181. 31:42about. What was I talking about here? People listen people. Oh, here's what I was talking about. Um, okay. We've got we've got we do have
182. 31:55some things we've got to confront. [clears throat] And I feel like this community is about as ready for
183. 32:07for what's coming as anyone out there. But I don't I don't think we're really ready for it. I think 2026, so 2025
184. 32:18was going to be weird because things were going to get good enough that they were going to be good. And I think for
185. 32:24the most part that's happened. Video's gotten good, images have gotten really good, vibe coding's gotten good.
186. 32:32Um, you know, writing writing has had a a bit of a setback because of the thinking models. They they focused more
187. 32:40on math and science than than art. But like I like that this too shall pass. They'll figure that out. Like I don't
188. 32:48think that's a I don't think that's a long thing. Um and in 2025 we started to get glimpses of agents
189. 33:02and but they're so shitty and they're so slow that I feel like I'm being lulled into a false sense of security. [laughter]
190. 33:18And [clears throat] but like internally at OpenAI right now, they've got um they've got models that'll work for four or eight hours
191. 33:29straight without making a m without losing context. It'll make mistakes, but it'll it'll go fix its mistakes. But
192. 33:42in 2026, we're we're gonna we're gonna end up with models that can work for, I don't know, 48 hours straight without losing
193. 33:55context. We're going to have infinite context windows. We're going to have truly multimodal models. I don't Have you guys seen Oh, let me
194. 34:04let me show you something. Let me show you what's what's triggering this for me. Um, [clears throat]
195. 34:20let's let's go searching on YouTube. I think the system we've always lived in was never made to handle
196. 34:31what's coming. I think you're absolutely right. I think you're absolutely right. I If you think about this, this is Matt
197. 34:42Bail, a good friend of mine who's in the in the pharma industry. He's a CEO or CTO in the pharma industry. He's the one
198. 34:49that gave me this insight. Most of the world today, most of the work we do, [laughter] which is this is so [ __ ] up, most of the work we do
199. 35:05is dealing with the overly complicated systems that someone invented a hundred years ago that have just gotten more and
200. 35:17more and more and more and more and more and more complicated. Right? the 1970s, if you wanted to fix a car, you had to
201. 35:24learn about [snorts] spark plug gaps in the in the distributor gap gaps in the distributor cap and spark plugs and
202. 35:33couple of wires and gas to air mixture. There wasn't a lot to it. You wanted to fix it. You learned 16 different things
203. 35:39and you [ __ ] fixed your car. Now you can't fix a car. You can't You can't fix cars today. They're rolling computers,
204. 35:48right? So everything's over complicated. So we live in a world where most of the value generation is people spending 40 hours a week
205. 36:03processing claims at the insurance company figuring out the order form from the superefficient ordering system that
206. 36:12was invented in 1997 that we still use because we never changed it because the boss is stuck in his ways. Right? Like
207. 36:21whatever. The whole [ __ ] world is about complicated systems and we're entering a world where AI can take that
208. 36:31complication and instantly solve it. Like if you think about for me the the one that still cracks my brain in half
209. 36:42is Notebook LM. Notebook LM. We're at the point now you can upload 300 documents. And those documents, I think, can be
210. 36:52500,000 tokens each, I think. So, and if you do the math, it's a lot. [laughter] You can just take a bunch of [ __ ] just
211. 37:05unorganized garbage, and just dump it into Notebook LM and instantly understand what's there. That's [ __ ] insanity. So if you if if
212. 37:15if you imagine a notebook LM for everything out there. All right, so let me show you something that that kind of split my brain apart.
213. 37:43This one. This one right here. Okay. Prompt.
214. 37:57Solve this math problem and write the full solution on a whiteboard. Given that x comma x² comma and 1 /x are
215. 38:09solutions to the homogeneous equation corresponding to x 3 y m + x^2 y prime or double prime [laughter] minus 2x y prime + 2 y - 2x4
216. 38:26comma x greater than zero determine a particular solution like when I was doing my math math at Stanford when I when I was doing my
217. 38:35polymath degree. It was so much fun. I love equations. And what I would do is I would just, you know what I would do?
218. 38:44All the other people like writing things down on like yellow pads. I was just doing them in my I was seeing numbers
219. 38:50dancing like like ballet dancers just, you know, across the sky. And I would just figure this stuff out. And then I
220. 38:57didn't even bother writing things down or showing up at class because I didn't go there. Anyway, Nano Banana could do something
221. 39:05with this thing, but Nano Banana 2, which is apparently coming out this week, or who [ __ ] knows, um, can not only solve this problem, but
222. 39:19write it on a whiteboard like like this. [laughter] This is an image. An image generator did that.
223. 39:34You're a lucky person that sees numbers. I don't see numbers like that. Mary, I was joking. [laughter] I'm a [ __ ]
224. 39:40idiot when it comes to numbers. I don't know. I don't know any of this. I don't know math. [laughter] I But maybe you were joking in saying
225. 39:52that. I see them. No, I I that was comedy. That was comedy disguised as not comedy. Um, this is an image generator output. Like
226. 40:02it generated, look at the bottom here. It's these are these are whiteboard markers and an eraser and a little tray
227. 40:09for the thing. So, it generated the the whiteboard tray and all the [ __ ] on it, which is a correct math equation.
228. 40:21And everybody, in case you were curious, the answer is um y the p = x 4 over 15, which I think everybody knew that,
229. 40:30right? I mean, it's it's fairly it's fairly elementary. Anyway, okay. So right now we look at image generation tools as
230. 40:46as art tools but but we're moving into a world imagine a world where you could just solve something. You could have a you could have a
231. 41:00question and that question gets solved and that question might be a math question. It might be a philosophical
232. 41:06question. It might be it could be any doesn't [ __ ] matter. And if the tools get multimodal enough, the output there could be kind of an
233. 41:17infinite number of outputs. The output could be a 3D representation of it. The output could be here's how if we took
234. 41:26that math equation and applied that to chemistry, here's the kind of chemicals we could make. And I could go into a
235. 41:32virtual chemical lab and mix those chemicals together and see how they react with one another and have it be molecularly accurate.
236. 41:43So, we're entering a world where like like what what struck me today when I saw this Nano Banana thing is or Nanobanana 2 is 2026.
237. 41:55It is going to be very it's going to be very clear to me that we're going to look back at 2025 and before as the text era
238. 42:06where text large language models are going to feel as antiquated as a 2400 baud modem, right? You [laughter] know,
239. 42:18it's like right now you just get on the internet and go. Imagine if we were still in the days where you had to dial
240. 42:23[ __ ] up. I like I feel like we're going to quickly get to the point that we're going to look back at textonly
241. 42:28interfaces and go, "Oh, remember when we actually had to read [ __ ] and it was outputting these 48page documents that
242. 42:34were nicely formatted but no one read? Remember that? That was weird. Isn't it so much better that everything just
243. 42:42turns into a movie now that understands how our brain works and teaches us the way we like it? I still like to read.
244. 42:48Well, you can go do that. So, so that's a weird thing like like whatever skills we have right now, they're going to they're going to
245. 43:02just again morph and dissipate and we're going to have to adapt. But here's the thing that I think is going to be the real
246. 43:12the real hard thing. Um, at least me, I still interact with AI with like I'm humbled, but I still got a little
247. 43:27bit of hubris, right? I still got a little bit of like, yeah, I know, I know, AI, you're brilliant, you're
248. 43:35smart, you can do, right? I get it. But you still need need me to check your work, right? I'm here for you.
249. 43:44and and [laughter] you know and and we're talking a lot about intentionality and having a daily practice and things like that. Um
250. 43:55this likely won't happen in 2026, but I think that there will be signs of what's coming in 2026 and this is probably like 27 28.
251. 44:05The tools are going to get so good that our participation will be optional. right? As a creative force,
252. 44:18right? Like in the future, you're just going to have a problem. You'll state a problem and then there's just going to
253. 44:24be multiple outputs that are increasingly good. Here's the application version of that. Here's the video game version of that. Here's the
254. 44:32movie version of that. Here's the haiku poetry version of that. Here's the Grammy award-winning song version of
255. 44:38that. Right? It's just going to be anything we want it to be. It'll just be in this crazy multi-dimensional multimodal space.
256. 44:51So, it's going to be easy to get lazy. I just I think we're I think I am I don't want to speak for anyone else. I think I am.
257. 45:08You know that phrase whistling past the graveyard? Like I feel like we're whistling past the graveyard a bit. Like
258. 45:14all the activity we we're doing right now, especially the stuff that it that involves like we got to be good
259. 45:19prompters and we got to be good critical thinkers. We got to do that. I think that's going to become optional.
260. 45:26And in a weird way, it makes what we're doing in the AI salon. So, if you haven't joined the AI salon, if you
261. 45:31could pop up the URL there, Brandon, on screen. If you haven't if you haven't joined the AI salon, we're launching
262. 45:38this Thursday um in the in the mastermind. So, the mastermind area of the salon is a subscription area. So,
263. 45:44the salon is free to anyone. And then we have this mastermind area and we're launching what we're calling the the AI
264. 45:50salon mastermind practice. And Thursday, we're launching the practice lab. And the practice lab is a weekly one-hour
265. 45:58session where anyone who's a member of the mastermind is invited to attend this this lab session. And we're going to
266. 46:06design we've created a framework for what a daily practice looks like centered around AI, you know, leveraging AI.
267. 46:16But the most important thing is the human being being at the center of the practice, the human being being in front
268. 46:23of the AI. Right? Now, a lot of people treat AI like it's this thing in front of them, like it's this thing they're
269. 46:31competing with, right? AI is going to do all this work and then I won't have any. And it it is, right? But that combative relationship
270. 46:47is is is ugly. It's not going to end well for anyone. But the other way to look at it is flip that. Put the put the AI behind you and
271. 46:59now you're front and center and and the pressure that it puts on us as humans is okay, you have all these remarkable
272. 47:07tools behind you that'll do anything you want. Oh, the time of the mastermind meeting. It's Thursdays at 10:00 a.m.
273. 47:14So, it's noon Eastern, 9 Pacific on Thursdays. And it's going to be we're going to our kickoff is on Thursday.
274. 47:24So, we'll meet whoever decides they want to show up and design their their mastermind practice. We're going to do a kickoff on Thursday.
275. 47:33And then there's nine modules that each week is going to be a different one of the modules. Um, and uh, and we're and we're going to
276. 47:44like I think I'm just I'm really excited about it. And it's about it's about really looking at intentionality like
277. 47:52who are you? What do you care about? What are your values? And listen, people who've been going to self-help weekends
278. 48:01for 30 years are going to this is going to be relatively straightforward for them. There's a lot of people that
279. 48:07haven't. There's a lot of people that are like, "What is a daily practice? What do I do? I sit cross-legged and hum
280. 48:13like what is this?" [laughter] You can, [clears throat] but what it really is is looking and saying, "What do you want to
281. 48:21do?" Right? And then what do you stand for? What difference do you want to make in the world? And then start to look at how do you
282. 48:35practice this AI stuff in such a way that it becomes second nature to you that you can just say oh you know what
283. 48:43would be amazing and then you manifest that with these tools. I think the manifesting is going to get really easy over the next three years.
284. 48:56What you do with it is going to remain hard. I think that's always the hard part. What's the good idea? Why is it
285. 49:04that Billy Isish took off like she did? Why is it that when you heard her her voice the first time and her music the
286. 49:12first time and saw how she looked the first time, you were like, "I've never seen this before. I don't know if you've ever seen that
287. 49:20Fel Williams and Maggie Rogers thing where where Fel comes for a master class at NYU and Maggie Rogers comes up and
288. 49:28plays her song Alaska for him and he and he says I have zero zero zero comments for you. She said he said your music is singular
289. 49:44because it's like you can either like it or not. It was like the Wuang Clan when it came out. You can either like it or
290. 49:50not, but there was nothing else like it because it came from this pure place. And so those are the those are the
291. 50:00magical moments that I think go up dramatically in value, right? But these tools are going to get really good.
292. 50:13They're going to get really good. So, anything you create is going to be instantly copied if it if it resonates.
293. 50:19It's going to be instantly copied. And then that's going to put pressure on you to to create something that rises
294. 50:26again above the noise and rises again above the noise. And the only way to not have that be a madness like just a an insanity
295. 50:35that that drives you insane is to understand who you are and what you want and what you stand for and then I think it can be this very
296. 50:48fluid beautiful experience. Right? So anyway, I mean the [ __ ] I'm talking about right now is 3 years out, 5 years out, but but it's
297. 51:02going to be a major shift. Like like any of us who think we have it figured out right now, like I continue to think
298. 51:08we're not even [ __ ] close. Corey Sandler, that's what I'm doing. Rise above the noise. Yeah, I have lots lots
299. 51:14of artistic ideas, though. Yeah, of course. I mean, we get to we get to live in a time I mean, if I you you know what you know
300. 51:24what, Corey, if you haven't yet. Oh, this would be really cool. I'm I'm [clears throat] one of the things I am mad about. Like
301. 51:32mad in a good way. Like mad crazy. I'm just mad about um ideas that start digitally and manifest in the real world, like 3D printed
302. 51:44houses. Like what I was thinking, Corey, is if someone hasn't invented it yet. I'm I'm sure someone has. If you take those
303. 51:513D house printers and you scale them down, um I bet you could do 3D printed pottery. Like I bet there could be some
304. 52:00intricate thing you do with pottery that involves like like you know imagining something running down your AI rabbit
305. 52:09holes turning those into 3D models getting them into thing figuring out the slip because you're already good at all
306. 52:15the [ __ ] firing right it exists. Yeah. Yeah. like like it's just like and and like that's just one thing and and
307. 52:23it's like I feel like every form of self-expression is is just going to literally be like a whisper away
308. 52:33like oh yeah the Sydney the musical yeah that's cool that could be a line of pottery couldn't it you know you're like
309. 52:40what and then you somehow articulate the translation of Sydney the musical into Sydney the line of pottery and how it
310. 52:48somehow represents the thing and it's got chips embedded in it and it's about the relationship between humans and
311. 52:54machines, but you can drink coffee out of it. Like like the artists are going to be the one that mash up these technologies in a way that
312. 53:06reveal their real power. Right? One of the reasons I was so disappointed at TED AI is that there was the imagination was all relegated to
313. 53:18technological imagination. There's a lot of imagination going on in the world of AI or we wouldn't have all this crazy [ __ ]
314. 53:27But it was all about algorithms and and math and and the value was about that. Those [ __ ] don't know what they're
315. 53:40building. They don't know how they're going to be used. Sam Alman says this all the time. He says the reason Sam
316. 53:45Alman puts stuff in the marketplace as quickly as he does is he because he realizes their engineers have no idea
317. 53:56have no idea how Corey Sandler is going to use their custom GPTs. no idea how Jim Ross is going to reinvent his marketing for his storage
318. 54:09units. Um, I want to share a Jim Ross thing. I hope he doesn't mind if I share this. I think it's just super cool. Um,
319. 54:22so Jim Ross said, "And if you're here, Jim, do I have your permission to share this? And if you're not, I'm an [ __ ] [laughter]
320. 54:31I'm sharing it anyway. just had to share this. My 17-year-old son um told me that him and his friend last
321. 54:44week started a Google business profile. Wait, a a oh, a Google business profile optimization business. He said they asked ChatGpt what they
322. 54:56wanted to do and the steps to take. They used Lovable to create their site, learned how to create an LLC, opened a
323. 55:04bank account. His friend is 18, his son is 17, used AI to create a pitch deck, used AI to create an email to pitch the
324. 55:12potential clients, had ChatGpt, walked them through how to utilize Bright Local for fulfillment, landed two clients,
325. 55:20paying them $500 a month. Um, now they're going to be feeling their way through this, but I was really proud of
326. 55:27them. The the last sentence is hilarious. The funny thing is I didn't think he did anything with AI until he told me this yesterday.
327. 55:36It's [ __ ] brilliant, man. It's so good. Um, that's the world we're entering. You can just go, "Ah, I got an idea. I got Oh,
328. 55:51what if I took this and did that?" It's what humans have always done. Right? You know, when they first invented the
329. 56:01printing press, Gutenberg, old Johan Gutenberg, it was invented for a very specific purpose. The monks were getting cramps
330. 56:15in their hands, right? Creating illuminated manuscripts by hand. Take them years to do those things.
331. 56:26Out comes the printing press. You can do a Bible in like a week. And then some crazy Corey Sandler,
332. 56:36crazy hair, crazy glasses, cooking [ __ ] up. It's like, you know what we could use that printing press for?
333. 56:44I wrote these things called poems. You know, you know poems. We could do a book of poetry on the printing press, right?
334. 56:52And people were like, "Who is this witch?" [laughter] Right? AI is evil. You talentless losers.
335. 57:11That's the world we live in. Speaking of which, I just saw Anne Murphy came in. What's happening, Ann Murphy? So this Thursday at
336. 57:23noon Eastern, we kick off the AI Salon mastermind practice lab. Super excited about it. If you're not a part of the mastermind, get
337. 57:32in before the end of the year because the price goes up in 2026. It's 20 bucks a month and if you sign up now, um you
338. 57:39keep that price as long as you stay active. So that's really cool. Wednesday, Ann and I are doing the AI readiness
339. 57:48project podcast, uh, featuring Lynn Miller Gersfeld, who is the co-host of the AI Salon, and she's doing some
340. 57:56badass stuff, and so we're going to talk to her. We're now in season 1. We recorded two episodes Sunday. We're
341. 58:02doing a live session with Liz on Wednesday. So that's Wednesday at 400 p.m. Mountain time. So 3:00 p.m. Pacific, 5:00 p.m. E, no, 6:00
342. 58:13p.m. Eastern. That's Wednesday. Um, if you go to aire readiness project.com, you can find out information about that.
343. 58:22So that's going on. And then December 26th and December 27th between the holidays and New Year, that weekend
344. 58:33when you're with your family or when you've chosen not to be with your family [laughter] from Friday. Oh yeah, there we go. AI
345. 58:43festivist baby. From 9:00 a.m. to 900 p.m. Pacific time. So noon to midnight Friday and Saturday. So it's 12-hour
346. 58:52days. two 12-h hour days for free. AI fest of us, AI for the rest of us. Here's my request. Bring yourself, bring
347. 59:02your family, bring your friends. We did this last year kind of on a lark. And Ann being who Ann is like, I'll go ask some people. [laughter]
348. 59:16And she went and she asked 35 people or maybe 36. No, 35. 34 said yes. She's like, I want like I want you to like do a talk [laughter]
349. 59:30on on the holiday, you know, on the weekend between holidays and New Year. And and 34 35 said yes. And the 35th one
350. 59:37would have done it, but they were traveling. And so we had, you know, panels and and speakers and and it was just this this
351. 59:47magic event. We had 200 people show up and our sessions for 24 straight hours, well it's 12 hours, then a 12-h hour
352. 59:56break for naps and then another 12 hours. Our sessions averaged 540 um viewers per hour on average for 24 straight
353. 1:00:09hours. It was cool. So, we're doing that again. So, write those dates down. December 26th, December 27th. Start
354. 1:00:17making excuses now or invite your [ __ ] family. You know, Jane, we're really tired about this AI stuff. Yeah. Well, I'm going to
355. 1:00:26be spending 24 hours like watching a bunch of people talk about it on Friday and Saturday. You want to join me? Oh my
356. 1:00:32god, that sounds awful. Oh, Jane, what are you doing with your life? Do you have a boyfriend yet? Oh,
357. 1:00:39right. I forgot. No, I know. I know you like the other side. That's okay. No, it's No, it's good. I support I support
358. 1:00:45a lifestyle. Lifestyles are lifestyles are fantastic. No, they're really good. They're really that's it's Yeah. Anyway,
359. 1:00:54so this AI stuff, huh? It's crazy, right? Bring them. Let's blow their [ __ ] minds. [laughter] It's like the invention of fire. Some
360. 1:01:08people are afraid. Some people got too clo close. Some people discovered cooking. Yeah. Like who's the [ __ ]
361. 1:01:14weirdo that took the fire and was like, "Hey, I wonder if we put a squirrel on it if it would be tastier." [laughter]
362. 1:01:24That's some artist. That was some weird ass artist. [laughter] Some performance art thing. They whack a
363. 1:01:30squirrel in the head and rip the skin off it, [laughter] put it on a stick, put it in the fire. They're like, "That smells tasty."
364. 1:01:39[laughter] Tik Tok question. Uh, [snorts] will Skynet remember if we're polite with our prompts now?
365. 1:01:46It's, you know, it's funny you say that, Robbie. Um, yes, as a matter of fact, they will. Um, will it matter? I don't know. But, but
366. 1:01:58Chat GPT already has memory. Um, I I called Chat GPT a dumb dumb, a loser, and absolutely useless today. [laughter] So,
367. 1:02:12I I'm a lot of times nice to it, but when it does ridiculous things, like I gave it some song lyrics and I wanted to
368. 1:02:19change the the last line. I said, I hate I hate this phrase in the last line. And so it wrote me new song lyrics where it
369. 1:02:28kept the line the line before the last line the same. It was it ended with everything and and the old line was
370. 1:02:37digital wings and then it wrote all these last lines that were not digital wings but it didn't rhyme with
371. 1:02:42everything. I'm like you idiot. These are song lyrics. These two lines need to Oh, you're correct. You know um will it matter? I don't know.
372. 1:02:57I don't know. I mean this is this is why anthropic so anthropic you know their their mission is not about achieving AGI like open AIS.
373. 1:03:10Anthropopic enthropics is about achieving alignment or super alignment which is they want to make sure that the
374. 1:03:19the tools that we create are in alignment with human imperatives like say staying alive [laughter] and flourishing, right? And so they've
375. 1:03:31got this thing called a constitutional learning model where where they can set the constitution of the model to say hey
376. 1:03:37humans are important and prosperity is important and you know whatever it is that's important and then the system
377. 1:03:44trains its way toward that imperative and if it if that's aligned with human imperatives then all will be right with
378. 1:03:51the world. So in that case, like if you're a smartass to a robot and it can recognize, oh, that's just
379. 1:04:00Kyle being a smartass, right? Or if it's like you're mean to a robot, you're like, oh, Kyle's in a bad mood and what
380. 1:04:06he actually said has some validity. He might have been a little rough with it, but you know, they should be smart enough to
381. 1:04:14understand that, but maybe not. Maybe, you know, maybe someone is just [ __ ] sadistic and pushes and pushes and p in fact this is
382. 1:04:25what's what's happened in my musical Sydney. Um, not to take it back to me, but the the whole point of Sydney is
383. 1:04:33this relationship between man and machine. Kellen the tech reporter, his wife leaves him and he discovers
384. 1:04:41she's left him cuz he [ __ ] up their vacation and he starts drinking. And so his interactions with Sydney are the
385. 1:04:48they get increasingly dark and he's and he's sort of driven. He's like, I don't want you to be this polyiana kind of
386. 1:04:53thing. And he and he pushes her to get darker and darker and darker and she kind of snaps and gets really dark and
387. 1:05:01it totally freaks him out. And if you do that to one of these things, I don't know, they could snap. And when
388. 1:05:11they have physical bodies, when they're when they're walking around your house cleaning up after you, you you dumb
389. 1:05:17slob. Like like a robot would look at my office and go, "Come on, really? I got like" Like even a robot would be like,
390. 1:05:24"I got to clean that up." [laughter] You got those things walking around the house. You get a little nasty to chat
391. 1:05:33GPT. Maybe the robot walks into the room, slaps you upside the head, and says, "Hey, you might want to cool it
392. 1:05:38down on chat GPT there. That's my girlfriend. [laughter] Uh, I was under the impression that Rosie the robot would be handling it
393. 1:05:54all. So disappointed. I know. Did you see that? Did you see that robot that's walking with like her her hips swinging
394. 1:06:00like a little a little sassy vamp? Wait, let me see if I can go find her. Um, let's see. Natural robot walk. This thing was funny. Um,
395. 1:06:16is that her? Let's see if I can find it. It was in Japan. Share screen.
396. 1:06:39Natural robot Japan.
397. 1:06:56Is that it? Yeah. Is that the one? No, that one's a little stiff. Well, that one's in the neighborhood. But
398. 1:07:11there were I saw one walking. It was just like your hips were like, but [laughter] I I just remember being in
399. 1:07:18New York like women that walked like that. Like all the construction workers would always cat call them. Woo. [laughter]
400. 1:07:27Uh, you still fries with those shakes? Oh, yeah. [laughter] There. Is that it? Yeah, I think that's it. Yeah. See that?
401. 1:07:45So, yeah, it's going to it's going to get surreal. Like I like I don't think it's I don't think we know. I don't think we know.
402. 1:07:59Crazy, crazy, crazy. All right. I won't buy a robot with clothes. Closing a robot is creepy. Well, you
403. 1:08:08know what, Robbie? I'll tell you what. I said this 18 months ago. I think anyone who's into fashion right now
404. 1:08:22should be well anyone who's into fashion right now and is into technology should be studying material science right now.
405. 1:08:32I think there's there could be a massive business in doing high-end fashion for robots. Um massive like couture Couture robot fashion.
406. 1:08:47[laughter] Oh, pop that collar. Oops. Oh, yeah. Look at that. Thank you. Speaking of fashion. Hey, Kyle, if you could not
407. 1:08:56look like you just rolled out of a sleeping bag, that would be awesome. [laughter] And Black Bar. I know.
408. 1:09:06Styling for bots. Kelly Bosch. Yeah. Take Yeah. No [ __ ] Kelly Bosch. take Kelly Bosch's designs and then figure out what what materials
409. 1:09:18do do you need to use that won't get dirty. You can just spray them down with a hose like won't bunch up when they
410. 1:09:24have weird, you know, if the if the robots don't have muscles, you know, building in things that fill in gaps,
411. 1:09:33right? Structured engineered clothing that is high fashion. You don't think there's gonna be some Beverly Hills
412. 1:09:44wife that's like out with a robot, you know, with with a with the the [ __ ] Gucci the Gucci stuff on. I promise you.
413. 1:09:55[laughter] I promise you that's going to happen. Light limited tubes. Yeah, exactly. LED stuff. Doesn't matter. I'm so
414. 1:10:06fashionable. Oh, I'm I'm not fashionable at all. But hey, robot fashion week in Paris. Yeah. And why have it be Paris? Why not
415. 1:10:19like let's not have it be San Francisco? Why not have New York be the fashion capital of robots or Chicago or Austin?
416. 1:10:31Probably not going to be Cleveland. [laughter] You got the Rock and Roll Hall of Fame. How did you [ __ ] score that? How did
417. 1:10:41Cleveland score that one? Huh? That's crazy. H. Huh. Have a style AI that you can collab with. Actually, that was another thing I
418. 1:10:56saw today. Um, hang on. Um, vibe fashion design
419. 1:11:17vibe coding fashion design DJ Alan Freed who popularized the term rock and roll. Oh, cool. Was from Cleveland. Oh, that's cool. That
420. 1:11:32actually makes sense then. Um Um third place from sketch to couture in moments. Yeah, this one. Check this out.
421. 1:11:54So, there's a fashion sketch. This was this was a vibe coding contest. And then it goes from sketch to
422. 1:12:09technical sketch. And then there's your motion studies. So that's all that's probably just a nano banana app, right?
423. 1:12:23But she built this site. I think she got third place in this vibe coding thing. Like how cool is that?
424. 1:12:38And and you know, we go from being able to vibe code this concept thing to being able to put out full-on technical drawings,
425. 1:12:49full-on patterns, and then have your robot make you the [ __ ] dress. Right. Source the material. Say, "Okay,
426. 1:12:59based on the way that flows and based on how you've described it, I'm going to go order you. I'm going to go order you the
427. 1:13:06fabric. It's going to be here tomorrow and I'll have you the dress by the weekend. everyone can design their own couture [laughter]
428. 1:13:20and like we're [ __ ] around with like NAN automations. I just I just I just get this sense where we're so underestimating what happens when
429. 1:13:36when the promise of multimodal actually starts to get realized. Because right now they're all still these
430. 1:13:43discreet. We're we're all trapped in what we know. We're all trapped in. Okay, I'm a fashion designer. And so
431. 1:13:52this is what fashion looks like and I'm a you know, I'm a print maker and right? We all have these ideas
432. 1:14:01that we think we know who we are and what we like and how we're going to use AI to do our thing. But like our thing
433. 1:14:14is just going to be different. We're going to be able to do [ __ ] we can't imag. But you know, again, this goes back to why having a
434. 1:14:24daily practice is so [ __ ] important.
435. 1:14:44Maybe here's the skill. Maybe here's the skill. Those people that can most quickly get an idea.
436. 1:15:05I don't know. Out of their head. And not just an idea, it's more than an idea. It's like a vision. It's like, okay, we
437. 1:15:19all have ideas, but like this is this is a good example. This site right here is a good example where, okay,
438. 1:15:26I could do something cool for fashion. Well, okay, what could you Well, I could I could someone could describe a dress
439. 1:15:33and I could make something in nano banana. Okay, great. That's that's a level. And this person was like from
440. 1:15:38sketch to couture in moments. Sketch to couture, right? And so where this is right now is it's up to the point where
441. 1:15:47the technology is. So and like like Jim Ross's kid with his friend, they're like, "Oh, we wanted to do this
442. 1:15:56thing and so we went to this and learned how to do that. We went to this and built a website and then we did this and
443. 1:16:02put together a PowerPoint presentation. like it's that it's that chain of understanding all of the things you need
444. 1:16:11to live into that vision. So, so I think that starts to become the skill. Oh, here's a cool idea. And then imagine
445. 1:16:22all of the things that that could be. And the people that are the most nimble with that, that are able to just go
446. 1:16:28idea, six different executions, six different components, go execute that and then look at what you've built and
447. 1:16:36then go, is that good? Yeah, maybe. And then go over here and modify it and do a whole other thing. Those are going to be the superstars.
448. 1:16:47Those are going to be the Rick Rubins. And if you all get your ass in the mastermind lab and start building your
449. 1:16:58daily practices, we can all start to level up our games. This is we're we're going to a place where the technology
450. 1:17:05really won't matter. It really won't [ __ ] matter because it's all going to be so good. Hopefully. Yeah, I know. I
451. 1:17:12know. That's that's kind of where like I Okay, I want to be clear about something. I recognize that what I just
452. 1:17:18said, like this whole rant that I've been on for the past 45 minutes or so, makes me sound like I'm [ __ ] insane. I get that.
453. 1:17:30I get that. But the the the more I integrate, this is something that Andy said to me, she goes, "You're integrating. You're integrating. I'm
454. 1:17:38taking these ideas of this idea of a daily practice and my inability and all of our inability to keep up with
455. 1:17:50the tech. We can't keep up with the tech. So, we can no longer we can no longer kind of know what AI is because AI is
456. 1:17:58going to be everywhere. So, that would be like knowing everything in the world and we can't. Our brains are just not
457. 1:18:02there. So, then that means we have to choose. And if we have to choose, then it begs the question, what are you going to
458. 1:18:10choose? And I don't think a lot of people are are are in the habit in the practice of asking themsel that question. Takes a lot of work.
459. 1:18:27Takes a lot of intention. Anyway, we'll see. We'll see. Kelly Camp, it's all still about execution. I agree with
460. 1:18:40that. And execution execution's going to remain hard. 90% of the people will never get that far. Uh well, so here's here's what kind
461. 1:18:52of shifts, Kelly. I think the percentages stay exactly the same as they are right now, right? Like in Hollywood,
462. 1:18:59you've got 20 people that are your A-list stars, right? And then you have 200 that are B and you've got 2,000 that
463. 1:19:08are C and you got 200,000 that are Oh yeah, I saw him once, right? And then you just have a bunch of people trying
464. 1:19:15to make I think the percentages in every discipline stay the same. But I think it I think what gets shuffled is who's allowed in the game.
465. 1:19:29I think the centers of power are going to shift dramatically. and they will stabilize. Like what's going to happen is whatever Hollywood
466. 1:19:38becomes, whatever the AI powered Hollywood is, whether it's in California or I don't know, Cleveland, whatever
467. 1:19:46becomes the center of power for for all of the disciplines is probably going to shift around a bit. And who are the
468. 1:19:52power players are going to shift around, but who gets to play in those in those new centers of power, I think, is totally up for grabs.
469. 1:20:02And I think now is the time that we need to get clear on who we are and what we bring to the party because if everyone's bringing
470. 1:20:16talent and skills to the party or no skills to the party, right? AI is going to provide skills for everyone. If
471. 1:20:22everyone's coming to the party armed for bear, right? And everyone can do all the stuff. They can do the coding and they
472. 1:20:29can do the drawing and they can do the music and they can do the writing and they can do the business plan. They can
473. 1:20:33do the math. Everyone does that. Who rises above? Those people that have weirdass new ideas. How do you find those? You get in touch
474. 1:20:44with who you are and the difference you want to make in the world. That's it. All right. That's been my focus lately.
475. 1:20:50Think bigger. Think different. Yeah. Shane saw. And I think it's um we we've got the the one value called
476. 1:20:58create excellence. What what popped in my head today was create great. I'm almost I'm I'm almost wondering if
477. 1:21:04create excellence needs to be create great. Like what is great? You know what do we we we have Wait, we better have fun while we can.
478. 1:21:16Listen, I think that this future that I'm talking about is going to be a [ __ ] blast. I mean, we are like I I say this all the
479. 1:21:24time. We're entering the Great Renaissance. I think I can't even imagine what it's going to be like, but we get a
480. 1:21:34taste of it every day today. Hang on a sec. Um, imagine living in a frictionless world.
481. 1:21:49And by frictionless, I mean like you have a concept and then it's effectively instantly manifested. So like you could spin up a business and
482. 1:22:00try it, you know, over a weekend and not like we do today. Like how we're doing it today. Like I kind of feel like AI today is like um
483. 1:22:16AI today is you're you're like um I'm thinking about starting a business and then AI is like oh here's a 50page plan
484. 1:22:26you're never going to read and you're like cool I'm not going to read that. It's almost like like AI AI in 2025 is
485. 1:22:37like the world's worst homework giver. It's like the world's most ambitious teacher that's like, "Hey, hey, Skippy,
486. 1:22:45great idea about the business there. Oh, if you want to do that, here's the 74 [ __ ] things you've got to go figure
487. 1:22:51out." And you're like, "Oh god, uh, I guess I could use AI to figure those out and then you go try to use AI to figure
488. 1:22:57those out and three of them are awesome and 70 one of them suck and you're like this is a lot of work I'm t I'm going to go take a nap
489. 1:23:10I'm a little sleepy right we we we have shitty teachers right now they're just giving us too much homework
490. 1:23:20but like just play act it out three years from now assume all this [ __ ] gets better. Assume it can think longer. Assume it
491. 1:23:28can anticipate what you need. Assume it remembers all the shitty ideas you had before and it actually recognizes. Oh,
492. 1:23:35Kyle, this is a good one. Let's run with this one. Okay, cool. What do we need to do? I got you, buddy. I'll see you Friday.
493. 1:23:46We'll be up and running. I'll see you Friday. And off it goes. [laughter] What are you going to tell your robot to go do
494. 1:23:57joining late? What is this witchcraft? Oh, the witchcraft on on on screen right now is um a woman joined basically a
495. 1:24:05hackathon, a vibe coding hackathon and she won third place with this sketch to couture. It's a it's an app where you
496. 1:24:13just upload a sketch and then it turns into drawings, technical drawings and photos and then videos. And then we were talking about you know
497. 1:24:22the natural extension of this is it creates technical patterns identifies what fabric is is correct right orders the fabric
498. 1:24:36I'm just learning what's your what's your group about daily practice um hey frankly Q so the the group is called the
499. 1:24:43AI salon and the AI salon is a community that I created is tightly tightly associated with this the AI learning
500. 1:24:50lab. This is where we kind of hang out and experiment and talk about stuff. If you go to the salon.ai um or community salon.ai will take you
501. 1:25:01straight to the community. You can join for free. Um there's all sorts of spaces and and and groups in there. I would
502. 1:25:09strongly encourage you to introduce yourself. Um, but starting this Thursday, we're we're kicking off what we're calling the
503. 1:25:19AI Salon Mastermind Practice Lab, and it is a weekly session for people that are members of the mastermind, which is 20
504. 1:25:27bucks a month. That's going up January 1st. Um, if you get it now, you have that price forever. So, like 20 bucks a
505. 1:25:35month is is funny. And And Andy um who who's the the new community manager and the uh and the integrator for the salon,
506. 1:25:43she's like 20 bucks? Like you can't even get a pizza for that. [laughter] She's like, "What are people bitching about?" Um
507. 1:25:53but if you're a member of the mastermind, we're kicking off this practice lab. And the basic idea is this. What what it's taken me about I
508. 1:26:02mean if if you're an irregular and you've been here for the past year and a half I have been in some sort of weirdass
509. 1:26:10quandry for for 18 months because it became clear to me about 18 months ago that talking about the tools
510. 1:26:21while important and interesting on some level is not sustainable. And and to a great degree is not interesting because the
511. 1:26:32tools are getting so powerful that at some point in the near future, two maybe three, maybe 5 years,
512. 1:26:42we're literally just going to be able to have a thought and and [ __ ] will happen. So if you're feeling very behind, you're
513. 1:26:50not. you're not because all of us even though we may have skills that you don't right now, um the tools are getting
514. 1:26:57better faster and being in community and and like showing up to these lives on a regular basis and being in community and
515. 1:27:04asking questions and showing off things you've made and and answering people's questions and asking people questions,
516. 1:27:12you will you will level up in a huge way. But where I've gotten on the other side of it's the tools are somewhat
517. 1:27:21irrelevant. They're important but irrelevant is an extension of this thing that we have in the in the AI salon. Let me show
518. 1:27:28it to you called the the cycle of AI readiness. And this was something that came from Liz Miller Gersfeld who's my co-host in the salon. Um,
519. 1:27:42so, oh, am I not sharing? Yeah, there we go. So, there's the cycle of AI readiness. And the cycle of AI readiness is play first.
520. 1:27:50And I literally mean play. Like if if if what you um what's your name? Frankly Q. Good name. Uh 8.9 out of 10. I like it. Um,
521. 1:28:07if what you're telling yourself right now is, "I have to learn AI. AI is very important and I've been told
522. 1:28:15I have to learn it. I'm going to be displaced and I have to learn AI." First of all, that's [ __ ] exhausting, right? Because
523. 1:28:28AI is moving so fast right now that learning AI is actually not a thing. Like what I would say is pick a tool
524. 1:28:36like probably just pick chat GPT and just like get just immerse yourself in in a tool if you're going to learn
525. 1:28:44something just pick one of the big ones that you've heard of and just start playing in it. But then what I would
526. 1:28:50also say is just play. Don't think like I've got to learn a thing to build the thing that is my craft. like you know
527. 1:28:58I'm a writer and I'm going to learn how to write with a like it's putting a lot of pressure on yourself to I don't know
528. 1:29:06to replicate what you currently do. So, one of the things we talk about is explore your gaps. As human beings, we
529. 1:29:14have gaps, right? There's things we do well. There's things we do not well. Some of those things we do not well are what I call aching gaps.
530. 1:29:24There are those gaps that you're like, I really want to be a director, but I don't know anything about film making. I
531. 1:29:30really want to be an illustrator, but I'm just kind of not talented, or I didn't go to art school. You know what?
532. 1:29:36Conceptually, I love math, but I don't understand it. Like, like there's, you know, there's a bunch of those things
533. 1:29:44that you've got. Well, play is you can actually go play with these tools and maybe fill in some of those gaps and see
534. 1:29:52what's possible. So, what happens in play is you're learning the tools, but you're also learning what's possible for
535. 1:29:59you. Like, what are you passionate about? What are those things? And sometimes those aching gaps are hidden,
536. 1:30:06right? Sometimes those aching gaps are things that happened to you in your childhood where you had a dream and
537. 1:30:12someone squashed it or you let yourself squash it cuz someone made a comment. Oh, I I remember when I had when I was
538. 1:30:22when I would draw is um Oh, you drew outside the lines. And then I would I would try to draw inside the line. And the minute I went
539. 1:30:32outside the line, I would crumple up the piece of paper and throw it away, right? That that killed something in me, right,
540. 1:30:39that I've probably spent my the rest of my life trying to achieve and knowing deep down, but you're really not that
541. 1:30:45talented, right? We've all got those. So that's what play about. Then create excellence or create great is
542. 1:30:56take what you've learned and now like take something that you want to do and right and then generously lead is be in
543. 1:31:05community. Share what you're learning. Share what you're doing. Where do you share it? Well share it at the AI salon
544. 1:31:10but also share it on Facebook. Share it on LinkedIn. Share it on Twitter. Share it at the stupid [ __ ] dinner party
545. 1:31:15that you have to go to. Oh my god, I don't want to go. and your spouse is like, "Hey, listen, dear. Um, could you not talk about AI at
546. 1:31:26dinner tonight?" [ __ ] talk about AI dinner. Just be in the conversation and then I'm going to get to the practice in a
547. 1:31:36second. Wait, what was that? Is free chat GPT something? What was the question? Harry Chapen, no need to see
548. 1:31:42flowers. Wait, the the pinned the pinned comments are coming and going too fast for me to read. Is free chat cheap is
549. 1:31:50free chat GPT I have memory I've always had to pay but I don't know now free chat GPT I'm pretty sure it has
550. 1:32:02memory yes is is remarkably powerful like I don't think you have to pay for chat GPT personally I think you can I don't think you have to
551. 1:32:14just the free version is like you could spend a decade Try trying to learn free chat GPT right now if it never changed again. Um,
552. 1:32:25wait. What I would do to be a youngster again? Oh my god. I can't being a kid right now. Like Brandon's kids
553. 1:32:35Brandon's kids are so lucky to have him as a father because he's like as he's learning this AI. He's I think his kids
554. 1:32:42your kids are four and six, right Brandon? Oh, four and eight. Okay, four and eight. And as they have ideas, he's
555. 1:32:56like, "Oh, that could be a song. Hey, come on over. Let's make you a song. Let's make you a book. Let's take the
556. 1:33:03game you invented on the beach and vibe code it when we get home so you can keep playing that game on the computer."
557. 1:33:10like he is modeling for them that that they're entering a world where they can just invent [ __ ] Holy [ __ ] Okay.
558. 1:33:20So that's what the cycle of AI readiness is. So the practice that the AI salon mastermind practice is a is a is a nine
559. 1:33:29segment framework that we've developed that we're going to roll out over it's it looks like it's going to be a 12-week
560. 1:33:36course. So or not a course a 12-week cycle. You can join at any time, but that 12-week cycle is going to start
561. 1:33:43with a kickoff. Then we're going to talk about like who are you? What are your values? Then we're going to get into
562. 1:33:48play like like how do you learn? How do you play? How do you play with intention based on who you are and what your
563. 1:33:54values are and what you want to achieve in the world? What does that play look like? And then how do we start building
564. 1:34:00stuff and how do we professionalize what we do? And then the the leadership part is how do we do that in community and
565. 1:34:06share it? And so that daily practice is going to be something that we develop over these 12week cycles. So if you're
566. 1:34:12not a part of the mastermind, now's the [ __ ] time to get in because we kick the first one of these off Thursday.
567. 1:34:18This Thursday at noon Eastern, 9:00 a.m. Pacific. All right. It's going to be so cool. All right. So to put it in AI in a group is
568. 1:34:32awesome. Yeah. It's like So, a little bit about my background, which the irregular is like, "Oh god, is
569. 1:34:43he going to say the web thing again?" I am. [laughter] So, so I was there for the early days of the web and and I
570. 1:34:50created a similar group to the AI salon in New York City called the Worldwide Web Artist Consortium. And so, I had
571. 1:34:57started an online magazine. I started a digital agency. And then I started this group. And the reason I started the
572. 1:35:04group is I kept asking people, how do you do this web thing? Like what's this HTML? How do you do this? And they're
573. 1:35:11like, you know, I was wondering the same thing. [laughter] And then we go talk to someone else. Hey, you seem pretty smart
574. 1:35:18about this. Oh, no. I don't I just learned how to I can make a thing wiggle. You're like, how do you make a
575. 1:35:24thing wiggle? Oh, you just put this in here and you put a zero here and a one here, and then you copy and paste those
576. 1:35:30a bunch of times. Oh, that's cool, right? Like we invented, you know, web animation and we invented all sorts of
577. 1:35:38[ __ ] Why? Because nobody knew what they were doing. And so I've been in this movie before, but the the remarkable thing about AI is
578. 1:35:48is it's just the level of capability that it's giving us is it's profound. It is [ __ ] massive and profound. And
579. 1:36:03you know, it's funny. There's a lot of people there's a lot of people that really hate on AI. And there's a lot of people that justifiably
580. 1:36:11say, you know, people that are just like polyianish about AI. Oh, it's just they're just the optimist. You know,
581. 1:36:17they're just pull, you know, they're just pretending the bad stuff isn't there. I know the bad stuff's there. I
582. 1:36:23know how these things were trained unethically. Sucks. I know that there's bias in the models and that sucks. I
583. 1:36:29know that like there's all these imperfections to it. But what I but what I know like the only thing that I really know I know this
584. 1:36:43is that AI is not going away. And then if it's not going away, you got two choices. Two. It's binary. It's literally binary.
585. 1:36:59You deal with it or you don't. That's the choice. And if you're going to deal with it, then [ __ ] lean in and learn
586. 1:37:10everything you can about it and learn what it makes possible and learn what it does well and learn what it doesn't do
587. 1:37:15well and learn what the shitty ethics are because maybe you can do something to make a difference for them if you're
588. 1:37:21actually in the conversation. those people that choose not to deal with it, AI is going to happen to them and it's gonna [ __ ] suck.
589. 1:37:33And like I don't know, there's something like in my soul. It happened in 1994 and it's happening right now. I can't
590. 1:37:41There's something in me that's like, you got to talk about this stuff. You got to play. You got to get in here. You got to
591. 1:37:50sort of lighten the conversation and just get people playing. So anyway, so the the the mastermind practice is about
592. 1:38:03understanding who you are as a human, what your values are, what you want to do in the world, which I don't think a
593. 1:38:09lot of people spend a lot of time doing that anyway. So I think there's just something valuable in that.
594. 1:38:15And then it's putting some rigor around how you learn, how you explore, how you're curious, how you're adaptable, how you
595. 1:38:25establish and hold a vision. Um Liz Miller Gersfeld um talks about her commitment to the fidelity of the idea.
596. 1:38:37I [ __ ] love that phrase. She's like, "Okay, I got hired to do this job. They gave me the creative brief. I understand
597. 1:38:44the creative brief, so I've got the this idea in my head of what it needs to be. And then she's working with AI,
598. 1:38:52but she doesn't care what tool she uses. What she's got in her head is not tools. She's got the idea. And it's her job to
599. 1:39:01live into the fidelity of the idea to make sure that that everything that she's creating is serving that idea. Those
600. 1:39:13are going to be the people that do the remarkable work, that take things to the next level, that rise above the noise.
601. 1:39:18If everyone can do everything, then the [ __ ] that gets produced is going to be better, but it's just going
602. 1:39:25to be the it's just going to be the the new bottom is just higher and that's still the bottom. And the [ __ ] that rises above the noise
603. 1:39:34is going to be humanled. And so that's what the practice is all about. So, join the mastermind. If you
604. 1:39:42go into the AI salon right now, you can go into um the community feed. It's one of the top spaces. And I did a big post
605. 1:39:50today about the mastermind and you can click on the link. We take you straight into the to the event calendar where if
606. 1:39:58you're a member of the mastermind, you just RSVP for it. And if you're not, when you click on that link, it'll take
607. 1:40:05you to a page that tells you all about the mastermind, what that framework is, and what we're going to be doing over
608. 1:40:10the the 12week cycle. Um, and you can sign up. All right.
609. 1:40:27Time is I had a feeling it was late. I've been yapping a lot. Huh? [laughter] Any questions, thoughts? That was a That
610. 1:40:37was a big rant. It was meltdown Monday. It was good. I'm in the mastermind. Um I need to hurt over there. Yeah. So,
611. 1:40:46definitely. So, so if you've been in the mastermind and you've come to any of our mastermind founder hangouts, they were cool,
612. 1:40:54but they were just hangouts. and and we're putting some intentionality behind the the the practice lab is not going to
613. 1:41:00just be a hangout. It's going to be a very intentional space. I think it's important for us as a community and particularly
614. 1:41:10this community where you know I bring a lot of irreverence to this and a lot of like G-Shocks you know G-Shocks none of
615. 1:41:17us are an expert things like that. What we can be expert at is knowing what we want to create in the world and and at what level
616. 1:41:29that we can be expert at. And that's that's going to take work, a daily practice, like an intentional daily practice. Who do you
617. 1:41:38want to be? What level of work do you want to do? If you just want to hang out in the sil sidelines and dick around,
618. 1:41:47I totally respect that. I think relatively quickly we're going to get to the place where choosing to make a difference and do
619. 1:41:58something big will be completely optional. Choosing to work will be optional. Now that might be 5 years out.
620. 1:42:05It might be 10 years out. But like that's where we're headed. But those people that choose right now to go, you know what,
621. 1:42:15the the reason we call the the the cycle AI readiness and not AI literacy, AI literacy kind of implies that you can
622. 1:42:22learn the tools well enough to be excellent at AI. You can't, but you can be ready for it and you can be in a
623. 1:42:29daily practice and you can be so good at AI that it just becomes like breathing where you're like, I've got an idea. You
624. 1:42:37can you can it's a much more relaxing kind of way to be. So in the olden timey days in this channel the way to be was
625. 1:42:45we got to figure out the tool. What's the next tool? What's the next tool? What's the next tool? And we've still
626. 1:42:49got some vest vest vest vestage vestigual. I think behaviors like that like I sometimes I'll see a new tool I get
627. 1:42:58excited and I'll just come in and talk about the tool. That's fine. Like part of play is exploring what's possible.
628. 1:43:07But we got to step up the game. And stepping up the game isn't about getting better at vibe coding. It isn't about
629. 1:43:14getting better at like getting better at the tools is just part of the practice. The thing that will make the difference
630. 1:43:22is you. That's what this is all about. All right. How can we make editing AI generative work less messy? I want to design by voice. um
631. 1:43:36that can ship. So, SXS um the smartass but actual real answer to your question is just wait. [laughter]
632. 1:43:53Um, the tools right now are are [ __ ] just maddeningly they're they're tantalizingly close to being useful, right?
633. 1:44:08Every every [ __ ] one. Every [ __ ] one from Chat GPT to Claude to Midjourney to [ __ ] cling to all like [ __ ] all of them to to lovable.
634. 1:44:23They're tantalizingly close where when you first start working with with AI tools, you're like, "Oh my god,
635. 1:44:30this is revvelatory. This is going to change everything. I'm going to be able to just speak an app into existence."
636. 1:44:35And then you do. And then you're like, "Oh, but I I think I'd like that color to be not purple. Could I could I make
637. 1:44:42it green?" And then you make that color green and it [ __ ] up your app. You're like, "Wait, I just how did I just
638. 1:44:49wanted that green? Why does it not work anymore? right? Like it's not going to be like that for long. But here's what I would argue
639. 1:45:03get in a daily practice of understanding what you want first and like what you want to do is you want to ship. Okay,
640. 1:45:10great. What does that look like to you? What level of you know what level of competence of the app does that actually represent?
641. 1:45:22And then what you can do is once you understand what you want, what your level of excellence is, then you can
642. 1:45:29say, "Okay, with the current tools, I can get to about 80% of that ideal." And then if I work really hard, I can get to
643. 1:45:37like 90%. And I'm going to be [ __ ] frustrated and pissed off at that last 10%. But you know what? Ship it anyway.
644. 1:45:46because 3 months from now something's going to change where now you can get to 90% easily and you can push it to 95 and
645. 1:45:53like that's just going to keep getting closer and closer and closer and at some point your ideal is going to be here.
646. 1:45:58You're going to be able to speak something in existence and it's going to show up at or above your level and you will know instantly
647. 1:46:08that the tech has just hit that level because you're in the conversation. So there could be answers in your current
648. 1:46:19tech stack of how you could get better results, but like I wouldn't worry too too much about that [ __ ] What I would
649. 1:46:26worry more about is what do you want? Understand what that is and then learn as much as you can about where we are
650. 1:46:32today and just let the let the tools catch up because they will they're going to catch up. 2026 is going to be bonkers.
651. 1:46:392026, I think we're going to start to see tools that that really deliver like on the video tools. We're going to get
652. 1:46:49tools where the acting's really good. It'll deliver I don't know 60 second to three minute multi-seene complicated storytelling complicated
653. 1:47:04visuals consistent color grading like that's probably 2026 and then for every discipline and then it'll it'll still be tantalizingly close.
654. 1:47:20Um, but you know, 3 years from now it'll be good. And then you'll be if you've established yourself as someone who
655. 1:47:25gives a [ __ ] in your particular area of passion, then you're you're going to have massive opportunity. Tik Tok pin.
656. 1:47:33Frankly, Q. I'm looking to make accessories and skill sets in MCP. Love that. Uh, I have this wild idea on how
657. 1:47:41to use MCPs. Um, make clips for studios. Easy to sell scripts. I I [ __ ] love that. I I'm telling you what right right
658. 1:47:50now MCPs are incredibly powerful. They're not something that I have built anything on and I and I've I've never
659. 1:47:58even pursued demoing them here on the live um this Saturday. Okay, if you're not a member of the AI salon, this is this is for free. This is
660. 1:48:12not part of the mastermind. One of the things we have in the AI salon that Vicky Baptiste runs is a thing called
661. 1:48:17LOL's learn out louds, right? Our generously lead value of the of the cycle encourages our members to teach teach what you're learning. This
662. 1:48:28Saturday, there's a guy named Brent Peterson who's got a company called Signal and Cipher. [ __ ] brilliant.
663. 1:48:36He's been building an agentic system for the past, I don't know, two and a half years. That is bonkers. Like they've filed
664. 1:48:46patents for it. Like it's bonkers what he's built. He's teaching this Saturday for free how he uses NA NAND and MCPS to
665. 1:48:57do incredible workflows. So you should go do that. Um it looks like genius in here can teach frankly a few things.
666. 1:49:04Great. If you've got ideas for how to make MCPs more available, more sexy, more um more creative, more like what
667. 1:49:15what whatever it is, [ __ ] go for it. Because if you think about what MCP is right now, it was an attempt by anthropic to
668. 1:49:27establish a protocol, right? And protocols are really important, but they're really hard to establish, right?
669. 1:49:35because everyone's got to agree to use them. Like HTML, okay, we all decided we're going to use HTML. Great. Tim Berners
670. 1:49:42Lee and you know browser, everyone built browsers around HTML. Like there could have been HTML and XML and all that sort
671. 1:49:49of thing. Tim Berners Lee did HTML. It got adopted as a protocol and it changed the world, right? So establishing one of
672. 1:49:58those is rare and hard. And so what Anthropic did is they said, "Here's this protocol or this proposal for a
673. 1:50:04protocol. here's this thing we think is pretty cool. Open AAI adopting that and saying, "Yeah, that's cool enough that
674. 1:50:10we're going to support that, too, is a big [ __ ] deal, but it's still at like protocol level complexity. You've got to
675. 1:50:18be a [ __ ] engineer, right? What they haven't done with MCPs yet is bubble them up like ChatGpt did. ChatGPT made
676. 1:50:28large language models accessible to human beings that don't have engineering degrees, right? They got to 100 million
677. 1:50:34users in six weeks. Fastest adoption of technology in history. Well, MCPs are still bubbling down under the surface.
678. 1:50:43You have to be a [ __ ] nerd a to even know what they are and and b to any and to do anything interesting with them.
679. 1:50:51And then if you can have an idea that that you're talking about and take them to the next level where it makes them
680. 1:50:56accessible to a whole new um strata of users. [ __ ] the opportunity there is it's insane. It's insane.
681. 1:51:08So [ __ ] go for that. [laughter] Yes. And I think MCPS could do a lot more. Remedial class. We'll go look up and ask
682. 1:51:17chat. Oh, remedial class on MCPS. Oh, if you don't, so MCPs, so [clears throat] there's a thing in programming called an API.
683. 1:51:26And so if I've got a site, the the simplest example I can use is Google Maps. So Google launched a bunch of
684. 1:51:34satellites, mapped the whole [ __ ] world, built a bunch of software, right? So, if you've got an app and and you
685. 1:51:42want people to be able to use a map in your app, you could go launch a bunch of satellites, map the Earth, come up with
686. 1:51:50a way to represent that visually, or you could use the Google API application programming inter interface, right? And
687. 1:51:57so they published this thing that's for nerds to be able to go, okay, if if I want to if I want to put a map inside my
688. 1:52:04application, I'm going to get an API key and I'm going to I'm going to understand what are the elements that I okay, I can
689. 1:52:11I can, you know, here's how I I send an address in and then here's how um Google Maps is going to do that and then
690. 1:52:18they're going to send me back a thing and I've got to understand all those hooks, all those what am I sending and
691. 1:52:24what am I receiving and what are the and how much are how how much is it costing me each time? So, the API is the thing
692. 1:52:30that lets your app like literally just use Google Maps. MCPS are like a layer above that where you don't have to actually write a um
693. 1:52:45like a software level um connection to your app. You can just say, "Hey, here's my website." And on my website, you can
694. 1:52:53buy [ __ ] and you can make pictures and like like one of them is Blender. And here's a bunch of [ __ ] you can do in
695. 1:52:59Blender. And with MCPs, you can just kind of describe what your website does and and you build what's called an MCP
696. 1:53:07server that basically says, okay, using this protocol, all of my features of my website, this understands. And if
697. 1:53:16chat GPT or Claude wants to do something like Blender and you have an MCP server for Blender, ChatGpt can basically just
698. 1:53:25go, "Hey, make me uh like a spinning top, you know, in a crazy [snorts] world, and the MCP will translate that
699. 1:53:34into what Blender does technically, and then it'll spit you back your result." It's it's super cool. Um, you don't have
700. 1:53:42to build and subscribe to to APIs. you just as as people build these MCP servers, you can literally just call
701. 1:53:50them, right? And so super cool server offline online MCP um
702. 1:54:04[clears throat] beautiful. Yeah, white labeling MCPs is pretty brilliant. I think that's good. I really appreciate you explaining it truly.
703. 1:54:16Yeah, it's it's a super cool thing. And in fact, um the So, here I can show you something. I know we're late, but that's
704. 1:54:24okay. Let me show you something because I'm on a I'm on a roll. That's why I have butter on my pants. Okay. Um so, in in chat GPT,
705. 1:54:38they just launched a thing. Wait, what am I doing? Share screen. There we go. They just launched a thing called
706. 1:54:49applications. So, within chat GPT, now there are I forget. There's like a dozen right now. Um, but I can just go um at Canva,
707. 1:55:05right? And see when I did at Canva, it popped up the Canva logo. So, this is using MCP protocols. So, I'm in chat GPT and I can say um
708. 1:55:18based on what you know about AI Festivus, make me an invite.
709. 1:55:32Save the date social media um graphic. I can use whatever. It doesn't [ __ ] matter, right? And so what this is going to do
710. 1:55:47now is it's it's doing its large language model thing on what I asked for. But see this window it just spun
711. 1:55:55up? See these multiple windows here? These are actually little windows, little HTML um preview windows that Canva So, so
712. 1:56:06Canva is now off designing whatever chat GPT sent it about. I don't know what it knows about Festivus or what it
713. 1:56:14remembers, but it sends some [ __ ] over to Canva. Canvas is now selecting some templates because it they figured out
714. 1:56:22what were the things they were going to do. And then there's AI festivist 2025. And these are live Canva things that I
715. 1:56:30can say open in Canva. Right here it says open in Canva. So this is a live editable. It's a preview in chat GPT,
716. 1:56:39but this is live on um over in Canva. And so are the other ones, right? And it doesn't know anything
717. 1:56:49about Festiva. So, if I gave it, I could upload graphics and say match these colors. I could upload dates and times
718. 1:56:57and this is all just like like imagine when this gets good, right? Right now, it's kind of a a mess [laughter] and
719. 1:57:06it's janky and it's stupid, but again, ain't going to be stupid for long. Um, what is the most common protocol
720. 1:57:14agents used for um transactions? X49. I I honestly don't know. Um, I do know that um, Chat GPT cut a deal with who is the transaction.
721. 1:57:27They're they're doing they're going to be doing native transactions within Chat GBT. I don't know what pro protocol they're using
722. 1:57:35bro. You talk like me, janky. [laughter] Embrace the jank, baby. Um, yeah. [clears throat] So, there you go. Yeah. And I can just
723. 1:57:45hop over to, if I click on that, now I'm over in Canva. Although it said forbidden for whatever reason. So, all right. [clears throat]
724. 1:57:54Groovy. Groovy. G. Groovy. I'm thinking transaction but deeper. What is native? Oh, did I use the term native? Native means. Okay.
725. 1:58:10So, this this preview came from Canva and and it when you Okay, let me let me show you something. Um,
726. 1:58:24when I say plus and I go into agent mode and I say um um let's see, go let's see uh research some
727. 1:58:41>> [clears throat] >> um I'm trying to do something that's not go book me tickets on a plane. Um research
728. 1:58:50research um bespoke this is good bespoke candle makers in Oregon or California
729. 1:59:05if war and find me um pen with natural
730. 1:59:21ingredients um and fun animal shapes. So when I do this, you're going to watch chat GPT now is going to
731. 1:59:39spin up this blue window. So this is this is what's what's called a container. I don't know if this is
732. 1:59:46technically a container, but it's like a container. So, basically, this is a little web browser inside your chat. And
733. 1:59:53so, those applications when when I when I say do something in Canva, it's giving me a little window into the activity
734. 2:00:02like what Canvas is doing and putting it in there. So, it's this is a discrete um virtual computer, for lack of a better
735. 2:00:12term. It's it's it's kind of a fake, you know, virtual computer, but it's like it's a little container that that lives inside a chat
736. 2:00:20and it's doing its own thing. I can I can now go, you know, go down here and, you know, do other things. I can leave
737. 2:00:27and come back. But this is this is a whole world with with within itself. So, it's like a a native window. Does that
738. 2:00:35make sense? Sandboxed. Yeah. Yeah. It's it it is sandboxed, right? So, it can't it can't do it do things to your
739. 2:00:42computer. It can't erase your hard drive. It's doing it in this little safe little sandbox like the coding.
740. 2:00:51Um, yeah, this isn't showing us all the coding. I think you can look at it. If I go look at activity, you can see the
741. 2:00:59prompts that this is doing. So, what you're not seeing when you're just watching it surf like that, it's it's showing you like HTML,
742. 2:01:09but it's like I'm starting to research bespoke candle makers. Um, I'll use the browser search function. So, it's it's
743. 2:01:15figuring out what tools it's going to use. I've searched the web. I found some candle companies. I found Etsy and
744. 2:01:22Agaboo Candle. And here's the search result. Right? So it's talking to itself but but we're if I go to desktop view
745. 2:01:30you don't have to watch all that you don't have to pay attention to that you can literally watch it surf the web
746. 2:01:35right and so this is what agents do so when you go to genspark or you go to manus look so this is surf this is
747. 2:01:43literally searching surfing the web on our behalf pocket universe just trying to expand my mind on it I like like this is trippy
748. 2:01:57[ __ ] that that's what I was saying you know when I was saying earlier we're interacting right now with AI where we understand our role
749. 2:02:13and the importance of our role and and the person that came in earlier and said wait how do I get this thing to not suck
750. 2:02:19like how do I just talk an app into existence that's good enough to ship and I said well you got to Um, right now the AI tools are so bad.
751. 2:02:31They're they're they're like remarkably good up until the point you want to do something professional and then they
752. 2:02:38suck. They fall apart. And everything like everything is is like that right now. There there's not a single tool
753. 2:02:45that I know of that is truly talk something into existence that's commercial grade. Nothing. But imagine when that day comes.
754. 2:02:58Because what's going to happen is when that day comes, it's going to come not just for one tool, but you've noticed over this over 2025,
755. 2:03:06someone launches something new and remarkable and within two months, everyone else has has matched it, right?
756. 2:03:13That's going to keep happening. and and the the minute someone launches something that that is truly worldclass
757. 2:03:19and delivers worldclass results, all of a sudden our role changes. We're no longer the the people that have to make
758. 2:03:27sure that the AI doesn't suck. We're now the people that need to make sure that what's being created in it is interesting
759. 2:03:37because everyone's going to be doing everything and then all of that's going to be not interesting. And what's going to be
760. 2:03:44interesting is the [ __ ] that rises above the noise. Who does that? It's going to be the artists. It's going to be the
761. 2:03:49creative people. It's going to be the creative thinkers. It's going to be the critical thinkers. That's why I'm pushing this daily
762. 2:03:56practice thing so hard because that's going to be our job. Um, it's not right now. It doesn't mean you shouldn't build [ __ ] right now. You
763. 2:04:05should absolutely build [ __ ] right now so that you know what's possible because the minute that new thing shows up, you
764. 2:04:13will be there to pounce on it and know exactly what to do with it. So, all right, I'm going to get out of here.
765. 2:04:28I need to drink. I didn't have enough dinner. I'm starving. I'm dehydrated. I'm all worked up. [laughter] My hair's not bad, though. I
766. 2:04:38got I got some nice the do tonight held up. [laughter] Um, what do we need to talk about, Brandon? It's Monday. We got nothing
767. 2:04:47going on tomorrow that's special. Um, save the date the the 26th. Oh, we're on Gemini Watch. Yeah, this
768. 2:04:55week we could get Nano Banana 2, which again, I think Nano Banana 2 isn't just about images. It's it starts to be
769. 2:05:06a new way of expressing outputs of the large language model. I there's I there's just that's going to be remarkable. And then
770. 2:05:15Gemini 3 is apparently coming out and they're going to retire all the 2.5 [ __ ] So that could be this week or it could be the 18th.
771. 2:05:25So, the rumor I've heard is Nano Banana tomorrow, the 11th, and Gemini 3 on the 18th, but that's all just chat
772. 2:05:35DMZ [ __ ] So, but I think, okay, one more thing. November is an important month for AI. Why? Because chat GPT came out November
773. 2:05:5230th, 2022. And so everybody knows that Chat GPT going to be dropping some [ __ ] in November. So they all either want to
774. 2:06:05preempt or postempt or whatever the [ __ ] it is when you don't preempt something, but you do it on the other side. They
775. 2:06:12want to steal Open AI's thunder. So we should get some [ __ ] from Open AI. We should get some [ __ ] from Google. Uh we
776. 2:06:19have no [ __ ] idea what Meta is doing except Meta. If you haven't played with Meta AI recently, you now have free
777. 2:06:27midjourney inside Meta.ai. Full-on midjourney. You can use SREs and everything. It's a much more simplified interface,
778. 2:06:37but it's midjourney. People don't believe me online, but it is like, so this month is going to be crazy. So,
779. 2:06:44keep coming back here. Join the AI salon. Sign up for the mastermind. Start designing your daily practice. and we're
780. 2:06:51going to start to turn the the level of heat up in this channel. All right? And you're going to you're going to do some
781. 2:06:58amazing things in the world. Okay, I'm out of here. All right. I did my video in Meta AI, by the way. Very cool. Yeah, you like the Meta AI
782. 2:07:11thing. You can even do video in it for free. So, go there now because I don't think it gonna be free free for long,
783. 2:07:18but free right now. All right. Beautiful. Um, for the for the folks that are new here tonight, thank you for coming
784. 2:07:32tonight. Thank you for asking questions. Thank you for being vulnerable enough to say, "Hey, I'm trying to figure this
785. 2:07:38[ __ ] out. We're all trying to figure this [ __ ] out." Jump in. Keep coming back. Join the community. Get active in
786. 2:07:44the community. All right? Join the mastermind. Start your daily practice. It'll change your [ __ ] life. I
787. 2:07:50promise you. Ask anyone in here. The there the the people that come here night after night are called the irregulars.
788. 2:07:57And they are. They're weird. But to a person, they can tell you they have changed their lives by just showing
789. 2:08:06up and being in this conversation. So, keep doing that. And thanks for coming tonight. All right. Peace out. Have a
790. 2:08:12good night. I'll see you tomorrow night, 800 PM Mountain time. Bye.