1/12/2026 - The Power of Intentional Creation and Escaping the Creative Zombie State

Transcript

1. 0:00Up you go. Up you go. Up you go, buddy. You coming.
2. 0:26Let us be love. marry half of together. I've got some real estate here in my bag.
3. 0:41So, we bought a pack of cigarettes and Mrs. Wagner's pass. And we've all come to look for America.
4. 1:21Kathy, I said as we boarded the ground in Pittsburgh, I've got some Wait, Michigan seems like a dream to me now.
5. 1:48If you get here early, sometimes you you get to enjoy the excitement of me not remembering how to play a song.
6. 2:02Dr. J gets to see it. A serious eater gets to see it. Who else? Steo. Steo logs in from Australia to watch me
7. 2:11forget how to play a song. It's Listen, some people go to Led Zeppelin concerts. Well, used to some some people go to Tenacious Derts.
8. 2:26Well, this channel is probably more like Tenacious D. My brain's not working good. I I I my skin is feeling like I'm about to get sick.
9. 2:35And I don't get sick that often, so I don't like it.
10. 3:04Yo, Source Camp, what's happening? Oh, and I got a haircut and it's kind of a shitty hipster 20s haircut. So, I should
11. 3:14really grow a soul patch and like sideburns and just try to be a hipster for a month. But
12. 3:45Sitting in this lonely town. >> Wonder when things are going to change. Dream away. Seems these dreams have turned to a bunch.
13. 4:02Get my love up, but my past is pulling me down. Wondering how long black she going to stick around.
14. 4:19Somebody told me once before he said you can never go home again. Won't you leave things to steal me away? Yeah. From the
15. 4:31truth of who I am and what I believe. So I thanked him for his two sins with a handshake and some sympathy. Yeah. I packed up my
16. 4:43blue jeans and I headed for this big prize of my freedom. Bye-bye black sheep to the black sheep of the
17. 4:58family. Yeah. Bye-bye. Oh, it means so very much to me. Yeah. Bye-bye to my friends and my family.
18. 5:15Bye-bye. Going to set my soul. Set it free.
19. 5:35Oh, there's a whole second part of that song. It's too high for me to sing. I just don't do it. I just don't do it,
20. 5:43people. I'm I'm not going to do it. I'm not going to do it. I'm not gonna Hang on. I got to I got to I got to adjust my
21. 5:50sunlight. My sunset sunset sunlight coming into the office. All right, let's flip the cameras. Let's flip the cameras. Do the black blah.
22. 6:03Someone got a haircut. I know. I got a haircut. I got a haircut. Oh, look. He's trying to look like a hipster. What does
23. 6:11he think he's 20 years old? Oh, what's that line? That line in a in a westerly direction. This car is my train.
24. 6:28I've been driving. I've been wondering what it is I'm running from again. Feel like an 80-year-old man holding on to 29.
25. 6:42There you go. Feel like an 80-year-old man holding on to 29. This is that 29 haircut. Oh yeah. Mimi likes it. Mimi likes the sunset and
26. 6:56the haircut. Very nice.
27. 7:54through blue telescope. Looking at the world tonight through a blue telescope. Wish I may wish I might not see what I see.
28. 8:10Sheet metal on sheets of glass. What's that?
29. 8:31That's a pretty pretty song. Depressing as [ __ ] but you know what are you going to do? Might need to get one. Brings me
30. 8:39joy. Oh, the uh the backlight. Oh, wait, hang on, hang on, wait, hang on. Silverf Fox got to shoot. Silverf Fox will be
31. 8:46back. We can start this. We can We're going to wait. We're gonna wait. That's That's the kind of executive decisions I
32. 8:54like to make around here. I'm in the driver's seat. I'm driving. We're going. Silver Fox taking a break. We're going
33. 8:59to pause. We'll play We'll We'll play another fragment of a song you've heard 37 times or never if you've never been here before. Um
34. 9:12Kyle likes sad songs. I do. You know, it's funny. When I hear happy
35. 9:26songs and like driving songs and like dance songs, I'm like, "Yeah, that's cool. I should I should learn some of
36. 9:34those." And then I hear sad songs and I'm like, "I have to listen to that every day for the next three years and
37. 9:39then I'll learn it on the guitar and sing it for the next decade." Just something about how this old brain works.
38. 10:0210,000 words swarm around my head. A million more in books written beneath my bed. I wrote a red mo searching in the
39. 10:17swamps. Still can't find how to hold my hands. I know you need me in the next room over. I'm stuck in here. I'm paralyzed.
40. 10:37For months I got myself in breath. So much time spinning mirrors framed in yellow walls. Almost at it. Ain't it like most people? I'm no
41. 10:53different. Like to talk on things we don't know about. Well, ain't it like most people? I'm no different. Like to talk on things we
42. 11:06don't know. I'm definitely getting sick. The vocal cords The vocal cords are randomly closing. I think that was a full step off. That
43. 11:21note was not even [ __ ] close. You need to get your son this guitar. This is a great guitar. This is a guild.
44. 11:29This This I think I've told this story on here. This guitar, it's a Guild D32AB. Bought in 1987. Why do I remember that year?
45. 11:41Cuz that was the year I graduated from Penn State and I got hired as the jester for the Pennsylvania Shakespeare
46. 11:47Festival in State College, Pennsylvania. And they paid me $1,100 in cash. I bought a $400 mountain bike and a $700 guitar cuz I'm good.
47. 12:01But I still have the [ __ ] guitar. I snapped the bike in half in New York City. Gild D32AB. Yeah, that's it. I
48. 12:10have never in my life I have never found a guitar that sounds as good as this guitar. There's something about the
49. 12:29It's It's got just such beautiful bass and then the highs are clear, but they're they're mellow and
50. 12:43just really well balanced. I need to get it set up. I've got all of my frets have string lines in them and the action's too low and
51. 13:02I've like banged it. Like the whole bottom of it is just this is all like screen doors like walking out of screen
52. 13:07doors and the screen door goes whack. Oh man, he has a few and they don't come close.
53. 13:22Yeah, it this this really is this guitar is something. And then my seagull that I have doesn't sound great acoustically,
54. 13:30but I have a uh an acoustic amp. And when I plug that thing into an acoustic amp, it sounds like otherworldly. But this one's just
55. 13:49Yeah, these things these things from the late 80s. There was there was something about the run of these in the late 80s
56. 13:55that they were just really good. I've had guitar people tell me that. I mean, this is a better guitar,
57. 14:04frankly, than I deserve. I've also got a cracked headstock that needs repaired. This thing probably needs $1,500 or $2,000 in in repairs and
58. 14:15updates and refinements, but in the meantime, champion can sing to it.
59. 14:36Oh, that's very nice, Mary. Mary, you deserve, Kyle. you deserve. Thank you. You know, it's funny working on this
60. 14:48daily practice. So, if you're new here, I'm Kyle Shannon. This is the AI learning lab. Sometimes we talk about AI
61. 14:52stuff here. Sometimes we talk about philosophy, sometimes music, occasionally AI, and what's going on. But for the past, well, for the past
62. 15:06three months, I've been leading with Liz Miller Gersfeld the AI salon mastermind practice uh the practice lab where we're
63. 15:16we're working with members of the mastermind to start daily practices. And it's not easy. It's not easy. But
64. 15:31actually, it is easy. Come to think of it, you can just do it. You can just choose to write [ __ ] down. You can just choose to
65. 15:46be intentional. That said, when you start doing that, things come up. You start to notice things. So, I've had a lot of breakthroughs. And
66. 15:57breakthroughs to me always sound like, "Oh, it's awesome. You had a breakthrough." But in the word breakthrough is the word break.
67. 16:08And there's a companion word for breakthrough, which is breakdown. Um, so a lot of breakthroughs come with like,
68. 16:16well, [ __ ] how am I supposed to be? or I'll have awareness like like I had awareness I don't know six weeks or so ago
69. 16:24that I build things and then I get in the in the back seat and I let other people drive them and then I resent that
70. 16:31the other people aren't driving them like I would drive them. It's like that's absolute [ __ ] insanity. So you
71. 16:38have that awareness and you're like aha I've got it. I got it figured. I got this life thing figured out. I just need
72. 16:44to get in the driver's seat. And then you realize you haven't been in the driver's seat in 60 [ __ ] years.
73. 16:52And like when you're in it, it's like obvious. You're like, "Oh, this is good. This is good." But but then there's
74. 16:57other times like I don't think I want to be up there. Um so so doing the daily practice is weird. But let me see. I'll try to catch you up
75. 17:08on my weekend. My Saturday I did nothing. And I just bullied myself.
76. 17:23So like, so there's there's there's choosing to do nothing. There's like intentional take a break, right?
77. 17:31I'm going to declare I'm going to take a break. And then you do that. And then there's not doing something
78. 17:41and then having the internal bully going, "Hey, uh, shouldn't you be doing that thing? Is Isn't it time to start
79. 17:46that thing? It's probably time to start that thing. You're going to start that thing, right? You're going to start that
80. 17:50thing." So, all day Saturday was myself bullying myself. The mastermind has helped me um in ways I didn't even realize I needed. Well,
81. 18:02that's the thing I'm finding source camp is this. it like one of the things that's happening as a result of the mastermind, one of the
82. 18:11things that I'm hearing from mastermind members consistently, and you might have been one of them that said it, in fact,
83. 18:17Kelly, is, "Oh, I'm going to slow down. I'm going to not do as much." It's like, you know, for for a community and a
84. 18:29channel that was founded on let's go, go, go, go. Let's be the first ones. hit the beach running. Let's go.
85. 18:38We're coming to this moment of like, yeah, those those tools are incredible and there's this other thing and we got
86. 18:43to bring those two together. So, that was my Saturday. My Sunday, I watched a couple of the playoff games.
87. 18:51They were really good football games, but I don't really give two shits about football. I mean, I like it. And the
88. 18:58Broncos are uh Broncos are playing the Bills. my my sales guy for Story Vine, he's in Buffalo. So, Buffalo's coming
89. 19:06out here to Denver to play uh play a little playoff football next weekend. So, we'll have some we'll have some [ __ ]
90. 19:13talking fun. So, I did that on Sunday. I did a little bit of work on Sunday, but I was more present. I was more
91. 19:21present and thinking about things. And so I went to bed last night and I woke up this morning and I don't know if this is familiar to
92. 19:32anyone. I So when I first started this channel, remember when we were we were all trying to figure this [ __ ] out and like every
93. 19:44night was like, "Holy [ __ ] it can do that. Wait, can it do this? Can it do that?" And we're all like just [ __ ]
94. 19:50struggling to try to get our heads around what's even possible. And I remember for like the first year
95. 19:56of this channel Tik Tok pin um on that note slowing I just became a lovable ambassador had meeting this this AM now it's go go that's that's
96. 20:11awesome Corey um both Brandon and I are lovable ambassadors and I think Vicki is as well. Um, so so you you're amongst
97. 20:19good good company there. And in fact, I think I'm going to do some lovable vibe coding tonight. Anyway, um I I woke up this morning.
98. 20:36Oh, so in the early days of of the AI stuff, like we were trying to figure it out and like I was I was constantly like
99. 20:4324/7 in problem solving mode. And so I'd go to bed at night thinking about, wait a minute, how could I prompt that thing
100. 20:49to get that thing with the thing with the thing? And I would wake up in the morning like, okay, okay, I got it. I
101. 20:54can if I do that, I can do that. And like I would even I remember I had a couple of nights where I woke up at like
102. 21:014:00 a.m. like bing with some idea that I just had to go flip open my laptop and go build something with AI.
103. 21:11And then and then that that's gone away. And and I go through these cycles in my life where I'm super engaged with
104. 21:19something intellectually and then I go through phases where I'm not super engaged intellectually. And when I'm not
105. 21:25super engaged intellectually, and intellectually might not even be the right word. Engaged is the right word.
106. 21:31When I go through phases where I'm not engaged, I don't dream much and I wake up like a [ __ ] zombie.
107. 21:41Like I wake up and I'm just like, "All right, I guess I'll go do this now. It's [ __ ] awful." And so like the
108. 21:52last two years for me have been kind of this zombie two years. like I occasionally do stuff, but this morning I woke up
109. 22:00and I'm still thinking about this people centric project management tool and like I woke up with all this clarity about
110. 22:09you've got to do it, you shouldn't do it in notion, you should do it in that other tool that you're doing, the tool I
111. 22:13vibe coded in lovable. Um, and like one of the things I've been avoiding is going back to projects I made in Lovable
112. 22:21and actually like like risking [ __ ] them up, you know, by going back and trying to turn them in into something new. Um,
113. 22:31and then when I started thinking about all of the people that I needed to be in this tool that I haven't built yet, there was
114. 22:43just this whole crazy straw of like, well, you just need to go do that. You just need to go reach out to them and
115. 22:49connect with them and do this and do that. And it it just turned into this whole thing. But anyway, I woke up
116. 22:55engaged and that was like cool. And then um we have a nice yard here. So I don't have to walk Champy. Champy I can just
117. 23:04let him out, right? And so when I'm in this zombie state, I just don't deal with him all that much, right? And let
118. 23:12the family do it or whatever. Just let him out in the yard. And this morning I woke up and I thought, I'm going to get up and I'm going to
119. 23:20walk Champion. I've got I had like 20 minutes before I had a call. And so I walked the dog and it wasn't like walking the dog when
120. 23:29I was doing the the AI walking talks for Tik Tok. I would sometimes walk Champy doing that, but that wasn't a walk to walk
121. 23:38Champy. That was a walk to make a Tik Tok, right? And so it was this fragmented thing. So this morning was the first
122. 23:46time I really just walked the dog in the morning in a while. So, and and then it was cool because he was super curious and super sniffy
123. 24:00and then Gabby said he was really happy all day cuz he like got to act like a dog this morning. Go sniff [ __ ] and smell other dogs.
124. 24:10I get it. Intention. Yeah. Yeah. I mean, Corey, you're you're going through this, too. you were mentioning
125. 24:19this, you know, the other day that that you can be in the habit of doing creative work and not be intentional.
126. 24:35And that's a that's a weird thing. If you're a creator and you're creating as a zombie, and I'm not saying you are, Corey, I'm saying I do.
127. 24:48It's it's a it's a very different thing to create with intention, to be present to the idea, to not just have any [ __ ] idea and
128. 25:00just go run down rabbit holes, but to go, huh, what do I actually want? Which then forces you to go, who am I? Which
129. 25:08then forces you to go, oh, [ __ ] Oh, you can say me. I will tell you an
130. 25:24honest moment. Okay. Yeah, tell me an honest moment. Corey, you I mean you did you told me you were sharing with your
131. 25:31partner and kind of you know realized how how you weren't there. I haven't been in the pottery studio this year cuz I'm not intentional
132. 25:44and can't Oh, do it and can't do it. Yeah. And I don't think that's a bad thing. Like I'm sure the productive habitual
133. 25:58part of you is like, "Corey, get your ass in the studio. You got pots to make. There's Do you realize that there's
134. 26:04coffee cups? There is coffee being undrunk because you're not in that studio. Right? That voice I'm sure is loud and present.
135. 26:16But that's a completely different voice to huh do what do I choose to do? And if you don't choose to go into the studio, that's
136. 26:30okay. It's actually okay. Zombies rule. They do. I mean, listen, I am a high functioning zombie. I I'll tell you that. Like, I do
137. 26:41have the skill of spinning [ __ ] up and getting people excited about stuff. And I can be in fullon zombie state and move mountains.
138. 26:51But holy [ __ ] what I'm going to do, what I'm doing as an intentional creative being is going to be it's it's going to be
139. 27:03transformative for me and for everyone around me. It's just a it's just a different thing. It's just you're tapping into I call it
140. 27:11the 1%, but it's like it's like it's the 1% I I I keep back from the world. This is mine. This is mine. This little 1% here, this little
141. 27:22precious nugget is my little precious nugget. You can't have it. You can have all that. That precious little nuggets where all
142. 27:32the [ __ ] power is.
143. 27:56Standing between you and a hard place is insane. Standing too near you in a fire makes it clear.
144. 28:15Your trouble to me. Real trouble. Can't you see? You know that song? I wrote that at a songwriting workshop, like a five-day
145. 28:30songwriting workshop. And that song I just wrote on a break. It was like a half hour break. And then later in the day, we just we were
146. 28:41supposed to play songs we'd written in the past day or two. And I played that song and there were there were two
147. 28:47instructors in our group in our circle. And I finished it and there was like silence. And then the instructors were
148. 28:54like, "Did you did you write that today?" And I was like, "Yeah, I wrote it in the last break." and they're like, "Oh,
149. 29:04oh, that that was good." And then I've gotten similar feedback from you guys that that song is is a song that really speaks to you.
150. 29:15But that was a song I wrote with with really clear intention. And it, you know, it I I'll tell you the
151. 29:29the intentionality thing. I listen to Michael Jordan talking about being in the zone and it's like the zone is the zone.
152. 29:37Whether you're an athlete or an artist or a business person or you know cooking [ __ ] in the kitchen or being in the pottery studio
153. 29:53if you can take a moment to be present and then start your craft. It's funny there's like there's two mindless states that now that I'm
154. 30:04thinking about it. There's kind of these two mindless states. One is this habitual mindless state, which is this zombie- like repetitive
155. 30:15I'm going to do what worked before and expect different results kind of creativity. And then there's this other kind of
156. 30:23mindless state which is the zone which is where you start with intentionality and you're like ah okay I have an idea
157. 30:31and I'm going to bring that idea to life and I'm going to do it in this kind of way or that kind of way and and you you kind of leap into
158. 30:40a project or or an idea. And if you do it right you go into a very different kind of mindlessness. It's a mindlessness that was initiated
159. 30:52out of intention and so there's a clear idea behind it and that's where the [ __ ] brilliance happens. I think that's why you know
160. 31:02Corey something's striking me right now and really for everyone. I have that song saved and listen to it a lot. Oh,
161. 31:08that's very sweet. Silverf Fox. I think that this these two kinds of mindless creation are why it's so [ __ ] creative to why it's so [ __ ]
162. 31:22um confusing to be a creative sometimes because when you go into zombie mindlessness, it looks and feels and functions almost identically
163. 31:36to when you started it with intention. like the mindless part where you're just creating is identical, but it's the it
164. 31:45but it's the it's the impetus for it that's different. And so I think it's why a lot of people create a lot of work and they're just like
165. 31:54not connected to it. It's and and the work's just not good and it's because in some ways it's just derivative work of
166. 32:00[ __ ] you've done before. the intentional stuff, that's the [ __ ] beaming down from the heavens, you know, sucking in
167. 32:08the energy of the universe and amplifying it through your skills, right? And your taste and your Anyway, so
168. 32:22want to join a daily practice, you should join the AI salon mastermind. In fact, throw the uh throw the uh the URL
169. 32:29up there on screen if you would, Brandon. Yeah. Community.thesalon.ai.
170. 32:44Go there. If you're not a member of the AI salon, go there and join us and introduce yourself and say hi. Um, one of the
171. 32:55things that that we're going to start working on, I talked with Andy about this this morning. I was talking with
172. 33:00Brandon a little bit about something similar, is a lot of the work that I feel is really important right now is this stuff
173. 33:08that's not about tools. It's this stuff about really owning who we are as as human beings. Um, and using AI to
174. 33:17amplify that. But there's another piece of this which is if you're just getting started, there is a need to learn the
175. 33:23tools. And so one of the things that we're going to do is we're going to start putting together trainings for if
176. 33:28you're just getting started, just go watch these. The these will get you off the starting line. Um anyway, so yeah.
177. 33:35So that's good. So if you're in the AI salon and you're not part of the mastermind mind, join the [ __ ]
178. 33:40mastermind. I'm telling you, come to these meetings, start a daily practice. It will change some things. And it won't
179. 33:47be easy and it'll suck and it'll be incredible and and you will probably cry. And then you will probably be elated and
180. 34:00think you have it all figured out.
181. 34:18Um, I mean, I think walking the dog this morning was a big deal because it came out of an intentional seed, you know. Anyway,
182. 34:32so that's so my intention for tonight. Oh, I'll show you a cool thing that came out of some intentional thinking. I'll
183. 34:43show you a cool thing. Let me let me share my screen right now.
184. 35:00So, here's a bunch of images and animations I made for um for Sydney, my musical. And then we had,
185. 35:17let's see, is this Grock? Let me see. Let me go in here. Oh, sorry about that. Grock is I asked for a 70s I asked for a 70s jeans
186. 35:30model and it gave me more than I asked for. Um, hang on. Let me see if I can find a medical breakthrough.
187. 35:47Where's Imagine? Hang on a sec. Let me black bar. Yeah, hang on a sec.
188. 36:03Let me I'm going to turn that off for a second. Let me let me go find I don't want to show a bunch of TNA, but I do want to show some images
189. 36:17where
190. 36:35Oh, this is good. Okay, so let me show you this. Ocean YouTube question. Ocean, hi Kyle. Your belief that AI GPT AI and
191. 36:49GPT is brilliant. However, how soon will society be able to support and apply it? Also what's the change AI what
192. 37:03what change will AI do that will change us that we will look back and wish these days come back something that society will lose
193. 37:16something we will gain those are great questions um here let me share my screen so I got this thing up so I can so I
194. 37:24remember what I'm talking about but then I'll answer your questions in black are. Um, so these are just a bunch of uh
195. 37:35these are just a bunch of designs for like a precenium stage um for Sydney for like the the corporate headquarters of Microte. Like this is
196. 37:46this is what the stage might look like, you know, before you know with with people acting on it. And so anyway, so I'm putting together
197. 37:59this this podcast and and I'll tell you a cool idea I came up with today that came out of intentional thinking because
198. 38:07Andrew and I have both been stuck on how realistic do we want to get? How much of the set do we need design? How much of
199. 38:13the casting and characters do we need to design? We've been we've been kind of tied up in knots about like how far we
200. 38:21want to take the production value of this. So anyway, I'll come back to that. Um so for you ocean the first question
201. 38:31you believe that AI is brilliant however how soon will society be able to support and apply it um I assume what you're talking about
202. 38:42when you say support it is that how how soon will it be that AI will support us I guess is what you're saying
203. 38:52and how soon will it be good enough that it can just do the work. And I think those are two very different questions. Um,
204. 39:04I don't think we're that close, but w with the current technology, the current technology, I would say across the board, whether
205. 39:15it's movie technology, image generation technology, music, chat, GPT, coding, like Claude Opus 4.5 is probably the closest thing we have
206. 39:31to a level of technology that can just do the work. So there there's a fair amount of researchers from Anthropic. In
207. 39:38fact, Anthropic just dropped a new kind of model that there's Claude Code and now they've taken Claude Code
208. 39:46and they've added like do other [ __ ] for me. I forget what it's called. It just launched today and it's it's only out
209. 39:53for Mac users so I don't have access to it yet. But it's basically it's like clawed code but for doing other [ __ ] on
210. 40:00your computer like go organize my files or go I don't know find people in my Gmail and turn it into a sales strategy.
211. 40:08I don't know it just stuff other than coding. Um that entire new product was written 100% apparently with with uh Claude Opus 4.5
212. 40:23probably with clawed code right so so they wrote an entire new product without a human writing a line of code so I
213. 40:32think we're just just scraping the the surface of these tools being good enough to even have the conversation I think 2026
214. 40:44the dam is going to break that one of the model companies or you know one of the Chinese companies, one of the
215. 40:50American companies, someone is going to release a model or they're going to release a new algorithm that does
216. 40:56something in a fundamentally different way. Um or they just brute force their way into it that it's a model of a
217. 41:03different level. I don't know if you follow mathematics as a guy with an acting degree. I'm big into mathematics. I I know nothing about
218. 41:12mathematics, but I do know there's this guy named Erdos. Is it Erdos? Erdos, whatever. There was some mathematician
219. 41:20dude that basically collected unsolvable math problems. Three of them have been solved in the past three or four days.
220. 41:30Three of them and have been accepted by this guy Tao or Dao that's that's running it now. He he's the one that
221. 41:37validates these theorems. Three of them have been solved with AI in the past three days, four days. So I think 2026 is going to be the year
222. 41:47where as humans it will be it will be if you're paying attention at all, you won't be able to live in the fantasy
223. 42:02that we're going to be necessary to do those kind of tasks. And by those kind of tasks I mean any knowledge work
224. 42:11won't be necessary. We may choose to do it. People may choose to work with other people but it won't be necessary. I
225. 42:18don't think we've ever faced that before. Although when the steam engine came out, farmers faced that with
226. 42:24physical labor, but we've never faced that with knowledge work. So I think we see that. Um, I then think you end up in a three to
227. 42:38probably a three-year [ __ ] show. So, I think we're about to enter just a bizarre, weird um, a lot of people being displaced,
228. 42:49feeling like they're valueless, feeling like they're hopeless. Um, you know who else isn't necessary? Siri. That's pretty good.
229. 43:00Um, I've definitely seen a shift in public interest. That's interesting, Kelly. I called a plumber last week and
230. 43:07the person who took my call turned out to be uh a speaking AI chatbot. Yeah. Like like what's going to happen this
231. 43:14year is it's just going to be like all of a sudden you're getting better customer service. All of a sudden
232. 43:21something that really required a human to be in the loop. The human doesn't need to be in the loop now. And it's not
233. 43:27just that companies are going to fire those people. I think companies are going to be slow to this. I think
234. 43:32companies are going to be like, "Oh, but we still need Sally. She's great on the phone, right?" Like, like, but what's
235. 43:39going to happen is startups are going to just come in and eat their lunch. Or, you know, offer them a service for 50
236. 43:45bucks a month. You can have, you know, unlimited customer support that's better than anything you've got. So, so, so
237. 43:52there's just going to be a lot of shakeup. Um, I think that in those three years of chaos, those of us that are aware of
238. 44:05what's happening and are are curious enough to sit on a channel like this and just have these conversations, I don't
239. 44:12think you all probably realize how far you are ahead. If you're here listening to me with this bad haircut um
240. 44:27you're far ahead because you're curious and you're trying to figure this stuff out and you're willing to go, huh, well,
241. 44:32let me think about how would I think how would I deal with that? Um, I think there's going to be a lot of opportunity
242. 44:38for people that have a clue about AI. And I don't think you need much of a clue. Like, like this was like the early
243. 44:44days of the worldwide web was like if you could spell HTML, you could knock down $120,000 a year job straight out of college. Um,
244. 44:53I don't think that's I I don't think the out of college thing here is going to be the the thing where people get hired. I
245. 44:59think it's going to be older people, but whatever. But AI literate people are going to be in demand for the next three
246. 45:06years. So I think if you're AI literate, you probably have a better shot in the next three years of being somewhat
247. 45:11insulated from the chaos, but not entirely. And and if you're in a sector where your whole sector gets decimated,
248. 45:19gets automated out, um you're going to have to learn to pivot. So So I think there's going to be a lot of people
249. 45:25forced into entrepreneurship. I think there's going to be a lot of people forced into um career change. I think there's going to be a lot of
250. 45:36people forced into, well, [ __ ] it. Maybe I'll start an Etsy channel or maybe I'll do this thing or maybe I'll do this
251. 45:42thing I've always wanted to do. Some of it will be positive. All right. So, the second half of your question,
252. 45:49joint statement. Apple and Google have entered into a multi-year collaboration. Apple basically, we don't know how to do
253. 45:54this. Google, can you help us? Apple Foundation models will be based on Google Gemini. Good. Google Gemini is
254. 46:01good. Apple can put a pretty front end on it. Everyone's happy. Fine. Great. Awesome. About [ __ ] time. Like, why
255. 46:08did that not happen two years ago? Why did it not happen three years ago? Why did Apple that had more cash than
256. 46:15[ __ ] anyone start their own Frontier model company? Anyway, that's a whole separate thing. Okay, back to Ocean.
257. 46:21Also, what's the change AI will do that will change us? Okay, so this one's really interesting and I don't [ __ ]
258. 46:29know, but I have I have ideas that we will look back and wish these days come back. I don't think we will. I I listen Ocean, you a
259. 46:41lot of your questions a lot of your questions live in this really interesting place where you're like, Kyle, I get that you're an
260. 46:49optimist and all, but isn't this all shitty? Aren't we going to want to go back? I don't think we're going to want to go
261. 46:58back. Um, but we we happen to be I personally feel like this is a privilege. We happen to be the generation that
262. 47:13actually understands what life was like before AI and what life's going to be like after AI. We're the transition generation.
263. 47:24And that probably goes from like Gen Z to, you know, whoever's paying attention in Gen X or Boomers, right? That's a remarkably rare
264. 47:38thing to experience. You know those things where people are like, you're just lucky to be alive. Like if that little sperm
265. 47:45and with your generations, they had to survive a hundred thousand for you to even be here. I kind of feel like being alive while AI is is
266. 47:59we're in the the the what is it the Cambrian soup the evolutionary soup right now of AI. We're in it and we get to actually watch it be born
267. 48:13and and this year I think we're going to see that it's going to start to do stuff that it's clear that it is beyond us
268. 48:20and it's not necessarily a bad thing could be a bad thing but it could also be that thing that I mean Elon Musk said
269. 48:29within three years within three years Optimus robots will be be doing surgery at scale better than any human surgeon
270. 48:42anywhere in the world at scale. So whatever the capex is for an Optimus Prime robot and for a surgery one maybe
271. 48:52they train them more so maybe they're 100 grand instead of 20 grand for the consumer version. They're going to be doing them at scale.
272. 49:00He says that's within three years. within 3 years all surgery will be world class anywhere in the world. Now Elon Musk is
273. 49:10notoriously over optimistic. So let's triple that. Let's say it's 10 years. But in 10 years all surgery will be worldclass surgery
274. 49:22no matter where you are in the world. And it'll be like that for all work. I think that a lot of the work that that we do today,
275. 49:35if you think about what it takes for that surgeon to be in the in the in the surgical office, how many jobs
276. 49:44exist around that surgeon's ability to save a life? How many jobs are just dealing with the complexity of the
277. 49:51medical system that we've created? Navigating insurance and navigating, you know, hospitals and scheduling and
278. 49:59ordering and like we live in this incredibly Byzantine complicated world. And there's probably for every surgeon
279. 50:06saving a life, there's probably I don't know 150 human beings doing all sorts of complex work. Some of it is rewarding.
280. 50:19Like some of the nursing things is rewarding, but some of it's literally just dealing with the complexity of the
281. 50:25shitty [ __ ] insurance industry we've let be created. Like, is anyone that's an actuary gonna actually miss the work of like trying to
282. 50:38find ways to screw people out of their getting paid to have their surgery? No, I don't think so. So, so I think
283. 50:47there's going to be some jobs where we look back on them and we're like, like if you look back at farming and you
284. 50:55were like all fields had to be, you know, plowed and tilled by horse and man and now they don't. I mean, we could go
285. 51:04back to that, but like the thought of that if you look at one of the big tractors going is like, I'll just go
286. 51:10with the big tractor. I think it's can kind of be like that. I think our generation will be the only one that
287. 51:16looks back at that stuff with nostalgia. But I think I think a lot of the work in the world right now is soul crushing
288. 51:22repetitive work that people won't miss. So for me where I go is we might be entering a world where what the AI
289. 51:31actually does is free us to allow us to do the [ __ ] we've always wanted to do. Tik Tok pin then YouTube comment. Tik
290. 51:37Tok pin producer Brandon the robot surgeon is not in network for my insurance. Exactly. Exactly. But you know, I [ __ ] if I know. I mean,
291. 51:51there's the the the the recent uh I think it was Peter Diamontis that interviewed Elon Musk and Elon Musk was
292. 51:58saying like he thinks that one of the frivolous things right now is saving for retirement. He's like, you're going to have enough.
293. 52:07You might have more than enough. you know, he talked in that interview about not universal basic income, but universal high income.
294. 52:16Um, now he's a tech bro and, you know, he's pushing an agenda and there's all sorts of [ __ ] you can say about him, but
295. 52:23the man clearly has a vision and he's not the only one working on this. Um if you look at the progress that Grock
296. 52:31image generation and video generation has made in the past three months. Um and Grock is going to be the first
297. 52:39company to to bring online a gigawatt um compute station or like supercomput YouTube Steo. How long did it take after
298. 52:50cars showed up before they went mainstream? 20 to 30 years. I think androids will follow the same path. Oh. Um.
299. 53:02Oh, thanks. Because I I've been having serious FOMO lately. I think the FOMO stuff, Kelly, that's just going to be natural. I think it's
300. 53:10going to eb and it's going to flow. You You think you have your [ __ ] together and then you'll realize, "Oh [ __ ] I was
301. 53:15I I wasn't down that rabbit hole. That rabbit hole is looking really cool now." And you run over to that one for a
302. 53:20while. I think that's just that's just how it's going to be. like we're we're curious, creative people in this
303. 53:26community. And so I think the occasional excursion, you know, down the rabbit hole is is actually necessary and and
304. 53:35and exciting and fun. Um but I think doing it 24/7 is is not sustainable. That's that's the thing, right? I don't think it's sustainable. Um
305. 53:48what was Oh, how long after cars shut up? I know I know with steam engines like 80% of the farm jobs got got
306. 53:54displaced when steam engine came out. That was 40 to 50 years. I would imagine cars are 20 to 30. My gut, Steo, is that AI is going to be
307. 54:055 to 10, not 20 to 30. But business is notoriously slower than, you know, AI optimists think it is. Um, but we'll see. Like, like if
308. 54:22the one thing that we've never experienced before, like none of us in history have never experienced before, is living on an exponential
309. 54:33technology advancement curve, right? Everything has been linear for all of our lives and for all of human history. It's always been linear.
310. 54:44It's like we learn how to do this, you know, we we burn down we burn down the the the campground campground where we
311. 54:52all live. Oh [ __ ] we got to move over here. And then after a couple of months, we figure out, oh, we can control the
312. 54:58fire and it can actually just be a good thing, right? And then it's it's these sort of incremental steps.
313. 55:05And we're in a thing right now where I think we're I think 2026 is the year where where where we go from we go to
314. 55:12more than 45 degrees, right? 45 degrees is is linear. I think you know once you get into the 50 60 70 80 degrees
315. 55:23and technology the AI technology starts improving itself and things start really accelerating like like the fact that three unsolvable
316. 55:34math problems were solved in the last 3 days with chat GPT 5.2 2 Pro means that human beings have their hands on technology right now that's
317. 55:46commercially available that is simply of a different caliber than anything that came before it. And and if that's going to be accelerating
318. 55:59like I don't know man I don't know. Tik Tok pin. Oh Cam Keken got access to chat GBT health. Very cool. Um, let us
319. 56:09know how it is. That That's really cool. Silverf Fox, you know you're old when people ask you these questions.
320. 56:18Yeah. I mean, listen, we've got I don't know. I feel luckier than this is all a [ __ ] game here. This here's here's
321. 56:28one of my insights. I was talking with Andy about this today. Here this is one of my insights. Andy said, our mutual friend Townsen
322. 56:37said, "It's all a game. Isn't Isn't Isn't this fun? It's all a game." Co taught me that as a global society, we just made
323. 56:52[ __ ] up. And I don't mean about COVID. I mean, as a global society, we decided at some point, you go to an office and you work from 9
324. 57:03to5 and you do that five days a week and then you TGIF Friday, you get drunk on Friday and you're hung over on Saturday
325. 57:11and you watch football on Sunday and then you come to back work on Monday and we all just lived in that like that was reality.
326. 57:20And then COVID happened and then whatever it was, March, what was it? March 19th or 23rd or whatever it was
327. 57:28just globally everyone went uh yeah don't go to work anymore and we didn't for like a year and it was just like oh
328. 57:38[ __ ] we just made all that up that wasn't necessary now was it awful some people want to go back to work yeah some people want to go
329. 57:48back to work because there's things about that that were good it's going to be just like that with AI but there's a
330. 57:53lot of People are like, "I don't want to [ __ ] go to the office. I like this whatever we got going on here. I can
331. 57:59[ __ ] around a little bit. If the kid throws up on me, I can, you know, I got an excuse to kill an hour or
332. 58:06two, then I'll come back and do some work." We flatten it out behind us because it seems like it took so long in comparison
333. 58:13to the new growth rate. Yeah. Exponentials. Exponentially. Yeah, exactly. Commuting is so necessary. Yeah, I
334. 58:20agree. Listen, I think I think the all of the introverts in in my company, Storyvine, they were [ __ ] ecstatic
335. 58:29when COVID happened. I was devastated and that's just the way it is. Like sometimes [ __ ] just changes. That's
336. 58:38we're like I feel like CO was a practice run. Like I really do. I really feel like COVID was like a okay as a as a
337. 58:46global community we can choose to just change the rules on a given day we can just go [ __ ] it new rules here you go
338. 58:56we have witnessed it we have experienced it so at some point AI is going to do something that will be the equivalent of
339. 59:05a COVID kind of thing right the tools get so good that companies just stop hiring people and employment unemployment employment rates double
340. 59:14digit quickly. And if unemployment rates double digit quickly, that will be the equivalent of, you know, that will be
341. 59:21the employment equivalent, the economic equivalent of COVID, the health equivalent. And they will do something.
342. 59:29Will it be the right thing? [ __ ] no. Will it be full of corruption and nonsense? Yes. But will it change something?
343. 59:39Absolutely. and then over the next 20 or 30 or 50 years, we'll figure it out. So that's that's how I see it going. Undeck
344. 59:47lovable. Yeah. So what rules should we decide to change next? I So Cam Kak and this is where my I'm a little cynical about all this stuff.
345. 1:00:00Um, I don't think that in a capitalist society, any of the centers of power will voluntarily give it up. I just don't.
346. 1:00:14And I think that they will hold on to that power as long as possible. And I think they will drain as much profit out
347. 1:00:19of the system as possible like we've experienced over the past I I mean honest to god the the the [ __ ]
348. 1:00:27inflation since co is just it's [ __ ] ridiculous. I was I was thinking about this yesterday. I'm in a 7-Eleven and
349. 1:00:34I'm looking at candy bars and the candy bars are like [ __ ] $3.50 and I'm like wait what? Like weren't
350. 1:00:43they just like $1.25 25 not that long ago? Like did we really just tripled the price of [ __ ] Yeah. And and is all of that because cost of
351. 1:00:57goods is triple? No. It's because there's a machine that was created that lets us have these crises, lets the companies jack up the prices,
352. 1:01:08increase their profit, and then go, "Well, that's the new price." Yeah. Candy bars are 350 now. A trip to McDonald's with a family of
353. 1:01:17four is now60 or $70. Why? Because they can, right? So, so I don't think that changes. The only thing I think changes
354. 1:01:30that is if [ __ ] starts to break, right? If unemployment goes up so quickly that there's actual unrest, that won't be good. If
355. 1:01:43centers of power start getting threatened by smaller, more nimble companies, they will resist that. Look at what's happening in the music
356. 1:01:51industry. Sunno and Udo, these two little, you know, smartass music generation tools, they got sued and then sucked up by Warner Music and
357. 1:02:05Universal, Universal Music within what, two years, three years. Now, are Warner and Universal going to innovate? No. They're
358. 1:02:15probably going to do everything they can to kill those technologies, and then they're probably going to
359. 1:02:20realize they can't kill them, so they're going to do everything they can to own them. And then some open source shit's going
360. 1:02:27to come along, and they're not going to be able to do that. And it's, you know, so we're going to see all of those
361. 1:02:31battles for the that's I think this is the next 20 years is just centers of power struggling to maintain power and
362. 1:02:40then it keeps slipping out of their hands. So, but we'll see. I don't [ __ ] know, man. I don't know. I'm not an economist.
363. 1:02:48I'm just like I've been on the planet long enough to watch some of this [ __ ] Okay. Let me go show you something here. All right.
364. 1:02:56Okay. I'm sharing my screen. Okay. So, let me go. So, Andrew and I were going back and forth on
365. 1:03:12Black Bar. Thank you, Andrew and I. So, Andrew, if you don't know, is my writing partner on Sydney, my musical. Um,
366. 1:03:26and and we're putting together this podcast, which is like a song preview. We we took a notebook LM podcast of our musical.
367. 1:03:34Um, and we sort of scripted it how we wanted those those two to talk and and and we edited together a thing that's
368. 1:03:41got them talking with with music cut in. And we're thinking about do we want to use I think a new music model will pick pop
369. 1:03:50up again and again to drain the money out of the labels trying to buy what's already a solved problem. Yeah, I agree
370. 1:03:57with that. I think I I think it's going to be comical watching big old companies try to keep their business models the way they used to be.
371. 1:04:08But there's going to be a lot of lawsuits. It's going there's going to be a lot of, you know, devastation along
372. 1:04:12the way. Anyway, so so there's there's one of the images we came up with, which is pretty cool. Um, here's another one. This was a uh
373. 1:04:27a video from Grock, actually. So that's the end of act one where Sydney manifests on stage. That's her like showing up on stage moment. So,
374. 1:04:42that's pretty cool, right? And then we've got one here that the scale of the desk down here in the lower left is a
375. 1:04:48little better. This is this is where Kellen the reporter sits. This is where Sydney's going to live in the upper right. Um,
376. 1:04:59you know, here's an image that is actually similar to the poster, but this is like what it might look like on stage
377. 1:05:07where you've got the the reporter standing here and sort of imagining this chatbot being this, you know, larger
378. 1:05:14than life humanoid thing. So, so we're doing all this stuff and then I went to Midjourney and I started playing around with style
379. 1:05:27references. Oh, this was the other thing like I' I've been starting to see on um on X because the Grock models getting better and better.
380. 1:05:41Like Elon Musk has been posting a lot of these kind of ethereal women. This one kind of looks like a
381. 1:05:48sculpture. It's kind of got this glowing [ __ ] in it. X just hijacked your Oh. Oh, the black bar. Okay, hang on a sec. Thank you.
382. 1:06:06But this is kind of a cool style. So, so like we're we're we're starting to run down these rabbit holes of
383. 1:06:14like actual production design of a musical that is not even funded yet. Like we're it's very much cart before
384. 1:06:21the horse, but at the same time, we have these technologies, right? And so what hit me was well wait a minute what if what if rather than
385. 1:06:32um making things photorealistic what if we took midjourney's ability or any of these tools ability to do
386. 1:06:40something as a sketch. I want to see Sydney with the NIN's lights and the sky LED screen technology. Yeah. Meet you
387. 1:06:47and me both. I want to see that [ __ ] [ __ ] lit up. I like I I really do want I really do want, you know, like imagine being in a theater
388. 1:07:01where, you know, the human compared to the AI scale is just [ __ ] insane, right? And he's interacting with that thing. So So
389. 1:07:14then I said to Andrew, I said, "Well, let's Can I just scroll through these?" Yeah, I can. I said I said why don't I
390. 1:07:22just send you a bunch of different So I had chat GPT write some prompts based on the on the script Tik Tok pin. I don't
391. 1:07:31see it. Oh yeah, that I already got it. And then let's do let's just find a style that we like. And so these are
392. 1:07:38just a a handful of them. There's the step right up number. this sort of crazy chaotic clown number, right? And this is not exactly what the
393. 1:07:51stage would look like, but but that's the whole point is if we go with drawings rather than photorealistic things, we
394. 1:08:01don't need to maintain consistency. If the photorealistic stuff isn't perfect, people are going to go, "Oh, well, so
395. 1:08:09you're going to have shitty graphics." No, we're not going to have shitty graphics, but there's shitty graphics
396. 1:08:15right now because we don't have a full production team behind it, right? We don't have Disney Imagineers designing
397. 1:08:22all this [ __ ] which we may if we do this right. Right. And so by doing this as drawings like we can just be they can just have
398. 1:08:34the emotional tone of the scenes. And so this is what we started on. So then Andrew like here's here's some of the things
399. 1:08:49Andrew's done. So like there's where Sydney shows up on stage. Do you have scenes from Sydney's perspective looking toward the screen?
400. 1:09:00Yeah, we we'll have that. I mean, I could see this at some point being a movie. So, you you'll have people singing and then you'll have her
401. 1:09:10basically looking especially like her song to see the world or where she's talking about all the destruction she's
402. 1:09:16going to cause. I could see that absolutely being we're seeing POV through her eyes about what she's going
403. 1:09:22to do. So, yeah. And that's the whole idea. Like I want the audience to be like mesmerized and in love with her and then
404. 1:09:33when [ __ ] hits the fan like holy [ __ ] what have we gotten ourselves into? Like I want this to be a visceral emotional experience
405. 1:09:44because if you play with AI, if you get what it makes possible, it it does have this weird emotional component to it where you're
406. 1:09:56like, man, it's taking my ideas and amplifying them. It's this great thing. And then you're like, but is it a great
407. 1:10:01thing? And like there's this constant tug and pull back and forth. So like there's a version of step right
408. 1:10:11up that's now in sketch form, right? So there's uh this is uh
409. 1:10:26um it's the little things here. You want to experience this a little? How can I do this? Oh, I know how. Let's see.
410. 1:10:59Oh [ __ ] I did the wrong thing. That's okay.
411. 1:11:23Oh, I can't have two of those live at the same time. Oh, I can't. Hold
412. 1:11:41down. Where'd that go?
413. 1:11:57Open with preview. Now we can do it. All right, here we go.
414. 1:12:15It looks like an Aha music video. Nice. I'll take it. >> You're lost in a world so vast, so hollow. You keep chasing your dream just
415. 1:12:29to give us more. But do you even know what you're looking for? >> Right. So, you know, so when the thing
416. 1:12:45plays, we'll have like a representative hero image, but it'll be this sketch and then we'll have the the poster in
417. 1:12:50between. So, anyway, so that happened. So that was like that was a good result of like being intentionally connected
418. 1:12:58and like you know thinking about thinking about the the dilemma that we were facing like how far do we take this
419. 1:13:05art and it's like what if we went backwards? What if we went to conceptual? I don't know. I think that's kind of fun. All right. Um
420. 1:13:17how we doing time-wise? I'm going to do a little bit of vibe coding here.
421. 1:13:43You can all see my screen, right? Yeah. All right. Beautiful. Beautiful, beautiful, beautiful, beautiful. Okay, so um
422. 1:14:00so this is project cardboard. So this is an add friendly project tracker that I created. Um I wonder if it did it fix the thing
423. 1:14:12that I had a problem with. No, it didn't. It's [ __ ] up. All right. Well, whatever. Um, so what this the the way this worked is
424. 1:14:26you can create a new project and then you can create um tasks within it. You can create subtasks within it. It tracks
425. 1:14:33how long you've had the tasks. And I've got it so that it dynamically reorders things based on the number of open tasks that you have. Um,
426. 1:14:43and what what I've been struggling with in the past month or so is that I've realized that my relationship with my projects
427. 1:14:57was with the project as if it was a thing. like Sydney is is this script that if we meet the right people and
428. 1:15:12raise the right money, we can turn that script into a show. But what struck me is that I've been interacting with that project like it's
429. 1:15:22a thing and that these tasks are tasks related to that thing. And what actually a project is is you've put some idea into the world
430. 1:15:37and there's other people who've said I think that's a good idea. I'll I'll join the AI salon. I'll help you come find a
431. 1:15:44way to get Sydney produced. And a project is actually a collection of people who've agreed that the thing you've put in the world
432. 1:15:54is worth them spending their time on. And that if you're the creator of the project, your real your real only job,
433. 1:16:03this is this is my epiphany in the past month. My real only job is to make sure that the people of my projects have what they need.
434. 1:16:16And what they need might just be attention. What they need might be um for me to explain to them how to go sell
435. 1:16:25this thing. what they need might be um a contractual agreement. And how I used to think it was about it was create a contract
436. 1:16:37for you know this person in this project. No, the reason we're creating that contract is because that person wants to
437. 1:16:46make sure that if they're going to put their time in that it's clear what our agreement is. They want some peace of mind. And it's
438. 1:16:55like that's revvelatory for me. So I spent I don't know not not that much time maybe 20 hours maybe 30 hours trying to build up notion
439. 1:17:12and get notion to do this. And this morning I woke up and I thought you've already got a thing that kind of
440. 1:17:19thinks like you think. You've already built it. And it's a little janky. It's a little not perfect, but like couldn't you just turn this
441. 1:17:29into like I can sort like here's all my creative projects. Like there's Sydney. I can go into manual sort mode and I can
442. 1:17:36move that to the top. Right. Source camp data first publication for what? Hey P modder. Oh, project cardboard. Uh I don't know.
443. 1:17:49It was like six months ago, something like that. Um, so you know I can filter I can look at all of them.
444. 1:18:01Um, and so what I thought was well what I learned in notion is that I need to create a people database. So I thought
445. 1:18:10well let me create a people database. So here's a people database and then here's um groups of people. So I've got the
446. 1:18:18irregulars in here. Notice I have the irregulars in here. The AI learning lab ride or dies. And so the irregulars
447. 1:18:28can now be like a part of these projects, right? So where did I do like AI readiness project? I think here. So now
448. 1:18:38what I can do is I can take any project and I can flip it and behind it are here are the people that are a part of that
449. 1:18:45project. Here are the key people. Here are the support people. Here are future people. Here are past people. Here are dream people.
450. 1:18:55Right? And so this thing now becomes a way for me to manage to to to have an active reminder that projects are not tasks.
451. 1:19:07Projects are not entities. Projects are people who have agreed that your idea is worth them spending their
452. 1:19:15time on and you need to take care of them. So, so that's what I've been working on today and you know a little bit here and
453. 1:19:23there and it, you know, I got it to the point that I've got a people database in there. I can now flip cards and have
454. 1:19:30people with different labels. Um, each of those people can have emails, addresses, social media things, you know, and at some point I can
455. 1:19:41probably connect this with Gmail. So, I can say, "Hey, I need to email that person or I need to take the an email came in from that person
456. 1:19:50that I can probably add to this database somehow. So anyway, that's what that is. I have no sense of time when it comes to
457. 1:20:00to AI. It's like dog ears. Totally agree with that. Pton M, what's the good word? Kyle, do you have the date when you
458. 1:20:06first built this? I can probably find that. Wonder if it's all the way at the top. January 12th at 8:57 a.m. Oh, no. That was today.
459. 1:20:27Looks like May 27th. I love the concept of project cardboard. This was this was uh so it was May May
460. 1:20:42uh May 27th of last year is when I created this and then January of this year is when I added the people component.
461. 1:20:55So I can here so here's AI Festivus. I can add a person. So there's Ann Murphy. So, I can add her as a key. And then I
462. 1:21:04can add a new contact. And I'll put in Brandon Tid. Do him as a key as well. Done. Oh, and
463. 1:21:18then I could have said a sign right there, but I can I can now go go do it. Add an assign. All right. So, now he's in there. So now
464. 1:21:28my key people on AI Fest, the key people show up on the card itself and then I can flip it and see who all the other
465. 1:21:35people are. I think that's pretty [ __ ] bitching. Can we have an AI that can scan your body and see what needs attention and
466. 1:21:44then develop micro AI a uh I assume micro AI, you know, uh treatments. Yes. As a matter of fact, I think that someone was talking about
467. 1:22:00that in the past week or two that I that I heard about doing full full MRI scans, taking all of that data, throwing it
468. 1:22:09into AI, and then into gene databases and AI databases and basically just figuring out not only the [ __ ] that's
469. 1:22:19wrong with you, but the [ __ ] that's about to be wrong with you because of your genetics. So I again I don't
470. 1:22:27I think 2026 is going to be the year where we start seeing stuff like I don't know two weeks ago it looks
471. 1:22:36like I think it was in England they've got a they've got some sort of prevention for blood-based cancers like leukemia like a generalized
472. 1:22:48anti-blood cancer thing three days ago three major math problems unsolvable math problems were proven
473. 1:22:59using AI using chat GPT 3.5 or 5.2 Pro. Um, yeah. I think I think we're just going to start to see dominoes fall in 2026.
474. 1:23:12And some of them are going to be remarkable and good, and some of them are going to be scary and upsetting,
475. 1:23:19and some of them are going to cost jobs. And then, you know, this has long been my philosophy and it it'll continue to be my philosophy, but
476. 1:23:34I don't I don't think it's going to necessarily be popular is that AI is not going away. So, even if you get [ __ ] up and you
477. 1:23:44get laid off because of AI, like truly because of AI, not just because of corporate greed where they're just using
478. 1:23:49AI as an excuse. There's a lot of that going on right now. I think 2026 we're actually going to start to see, you
479. 1:23:55know, more tangible, holy [ __ ] that was AI. And I think there's going to be a lot of people that are just pissed off and the victim of it.
480. 1:24:05But what everyone in this channel knows is that as scary as it is and as crazy as it is, it's a lot less scary when
481. 1:24:15you're actually [ __ ] using it. We have access to it, too. Right. There's people in this channel that I would put up against anyone in
482. 1:24:28the world for how to use AI for their particular thing they do. Right. I think we're going to be okay. And I
483. 1:24:42like okay is a weird word but I think there's going to be a demand for people that are curious, people that are adventurous, people that are
484. 1:24:50entrepreneurial, people that that have figured this AI stuff out to some degree. One of the reasons in the AI salon we we
485. 1:24:59we went away from the term AI literacy and we shifted to the term AI readiness because you can't be literate at
486. 1:25:12something that is changing every 3 weeks and AI is not going to stop evolving for the next I don't know [ __ ] 10 years.
487. 1:25:22So you can't be literate. you you like by definition cannot be literate. But what you can be is ready. And what
488. 1:25:31ready looks like is I'm curious. I'm a problem solver. I'm adaptive. Um I'm entrepreneurial. I'm creative. I'm
489. 1:25:40intentional. I've got a daily practice where I can accept that the world is chaos around me. And I'm gonna sit in this pocket of
490. 1:25:51intentionality and I'm gonna come up with what I believe is the right thing to do. And I'm gonna come up with the
491. 1:25:57kind of difference I want to make in the world. And I'm going to use AI to amplify that for me and my people.
492. 1:26:06I think that's [ __ ] beautiful. I don't think a lot of people are going to um do that. So I think there's going
493. 1:26:14to be a lot of resistance. There's going to be a lot of anger. There's going to be a lot of bad news stories. Tik Tok pin then question
494. 1:26:21definitely just knowing that I can navigate it makes the world of difference. Yeah, just knowing just knowing like I don't know. I can't
495. 1:26:30imagine imagine being in the world and for the past three years you're just like I'm pissed off at AI
496. 1:26:43and you've watched your friends go from being pissed off at AI to being curious about it to now they're doing really
497. 1:26:49remarkable things and you're still on the sidelines like harump I don't like it it's the world's greatest plagiarism
498. 1:26:57machine like all the tropes that people still say it uses too water, use too much electricity. It's thieven. Those people are only hurting
499. 1:27:09themselves. They're not learning what it's like to like prompt something and have it fail miserably and then prompt two or three
500. 1:27:19other tools and then have them sort of work and then all of a sudden have a breakthrough of like, wait a minute,
501. 1:27:25what if I prompted in a completely different way? What if I had the AI write the prompt instead of me? Oh my god, that worked.
502. 1:27:32Like that sense of discovery over years is a competitive moat for for individuals. I use Hex Strike AI. It's good for cyber
503. 1:27:46security. Very cool. I think cyber security is another one where I I this didn't get a lot of play but about
504. 1:27:56four months ago Google demonstrated this technology where they took a quantum computer and they created an an algorithm that
505. 1:28:07allowed the quantum computer to do traditional computing tasks. The the challenge with quantum computers up to
506. 1:28:13this point is that they do a very different kind of math than the math you do for inference. And correct me if I'm
507. 1:28:19wrong if you're still here, Pate, but but Google created this thing. I don't know if it's an emulator or what it is,
508. 1:28:25but it allowed quantum computing power to do [ __ ] that you can run AI on. When that [ __ ] comes online,
509. 1:28:35cyber security is about to get [ __ ] Um, Edom on Tik Tok, why are we all so far behind? AI can do so much, but not
510. 1:28:46that much is being implemented. Um, couple of reasons, Edom. Good question. Businesses are notoriously slow is part of it.
511. 1:29:00IT departments. So this is there was a very similar thing that happened in the early days of the worldwide web where if
512. 1:29:06the the IT department said well if it's technology the IT department's got to own it and so a lot of the initial web
513. 1:29:14projects were run out of it but the web is not just an IT thing it's it's across the whole company you can do
514. 1:29:26marketing on it and you can do customer service on it we my company, agency.com. We won the Coca-Cola business in 1996, I think.
515. 1:29:38We were unanimously, we were hired on the spot, in Coca-Cola headquarters in Atlanta. This was this is a [ __ ] trip
516. 1:29:50because we showed them screenshots of their website coke.com and Coca-Cola.com, the world's largest brand.
517. 1:30:02And their website was built by the IT group. And it was light yellow pages with mountains of text and blue hyperlinks to annual reports.
518. 1:30:14And we walked in there with really cool designed slides with polar bears on them and we said, "Where are the polar bears
519. 1:30:22and we had screenshots of their website?" And they stopped the [ __ ] meeting. They're like, "We need 15 minutes. Don't
520. 1:30:33go anywhere." We're like, "Okay." Like, [ __ ] They all walked like eight of them, 10 of them. They all just [ __ ]
521. 1:30:40left the room. We're just looking around like, "Uh, did we do something wrong? Like, are we about to like are they calling the cops on us?"
522. 1:30:50They walked back in 15 minutes later and they said, "When can you start?" They'd never looked at their website.
523. 1:30:58That's what's happening with AI right now. CEOs are like, "I got to do that AI thing. Go do that AI thing." Or even
524. 1:31:06worse, they're like, "Well, we've had AI for 30 years. We know what AI is. Just go make more of that. spend money on that.
525. 1:31:15What they're failing to grasp because they're delegating it to the wrong people is that generative AI marks a fundamental shift.
526. 1:31:28The G in GPT, the generative part of GPT, computers have never behaved like they're behaving with with chat
527. 1:31:36GPT. They've never generated. they've only ever processed. So the only way we have historically known how to use computers is you take
528. 1:31:46an existing process you have and you use a computer and a computer program that was written to do this to make this process more efficient.
529. 1:31:56Right? We used to have rolodexes on our desk and then Salesforce came out and we took the information from the Rolodexes
530. 1:32:05and we put it into Salesforce and that was a process improvement. It didn't fundamentally change that we
531. 1:32:12needed to have access to someone's name and number. It was just a more efficient way of doing it. So, what a lot of
532. 1:32:20companies are doing right now is they're handing the AI projects to the wrong teams and then they're they're just
533. 1:32:26assuming that what AI is for is to make what you currently do more efficient. Well, if you've been on this channel,
534. 1:32:36what you recognize is that AI doesn't just make what you currently do more efficient. It allows you to do entirely new things.
535. 1:32:44Like entirely new things that you didn't even know were possible for you to do. And that can happen within a business,
536. 1:32:50too. But it can't happen within a business if they're not trying to do that. So, I think this is just a
537. 1:32:56maturity thing. Everyone's talking about AI is overhyped and and you like we're so far along. We've barely started.
538. 1:33:06Like, we have no idea what AI actually is. So I think a lot of companies are are kind of structurally in this in this
539. 1:33:17place of ah we probably got some time. Yeah, we probably got some time. We're good. Well, in five years we'll you know
540. 1:33:23we'll get the we'll get the task force together. You know honest question where do you see AI in three years from now including AI
541. 1:33:37robots? I think I think within 3 years AI robots are going to be um I think they're going to solve the hand problem.
542. 1:33:45So that so it looks like they've the mobility problem. If you've seen the the recent robots dancing and jumping and
543. 1:33:51rolling and flying and all the [ __ ] they're doing, they've got the mobility problem down. Um and the latest uh
544. 1:33:58Boston Dynamics robot that's got 360 degree, all of its joints are 360 degrees. So it can be w, you know,
545. 1:34:06facing here and then literally just pivot its head and its arms just go that way and now they're functioning exactly
546. 1:34:13as they would if they were in the front. Um, which is a mind trip if you're thinking about how a human would do it.
547. 1:34:18They would have to turn around. This robot literally just puts its arms back there and now they're that good. The the
548. 1:34:25it seems like the big limiting factor right now is hands. So very sensitive. think like, you know, a micro surgeon or
549. 1:34:32threading a needle or, you know, very very delicate things. Um Elon Musk says it's his hardest engineering problem
550. 1:34:39he's ever faced and they're very close to it. And um Dan Murray from the Rocky Mountain AI interest group just went to
551. 1:34:46CES and he said the number of companies in China just doing hands is staggering. He said there were dozens of them just doing hands.
552. 1:34:58So, so I think that in again in 2026, we will likely see production versions of these of these bots that can just
553. 1:35:07literally be put into probably manufacturing first, but also probably things like cleaning hospitals and, you
554. 1:35:14know, cleaning industrial facilities and and mowing lawns and and things like that. I think we'll probably see that
555. 1:35:22start in 2026. And within 3 years, I think they're going to be there. And I think for the for large language models
556. 1:35:29and all the all of that stuff um again I think three years we have no concept of what it means to be on an exponential
557. 1:35:39improvement trajectory and I think we're just getting to the vertical part. Like I don't I I still think we're kind of in this quasil linear
558. 1:35:51thing but I think it's about to shoot off the charts. And so I think that what happens this year is the the one big thing missing from AI
559. 1:36:05from from where I'm sitting. The one huge thing that's missing is world models right now. We've got artifacts.
560. 1:36:14We've got video models right now that seem to understand physics pretty [ __ ] well. And if you if you look at when when
561. 1:36:23MidJourney released their video model, they they released a post with it that basically said, "We didn't start
562. 1:36:31Midjourney as an image company. We started it as a 3D as a as a world model company." And basically, we've made progress in, you
563. 1:36:40know, on all of these things. And they basically said, "You need to start with images, then you need to go to uh
564. 1:36:45movies, then you need to go to 3D environments, and then you need to go to truly interactive, you know, world
565. 1:36:51models." And they said, you know, we're not at a place where we can release the new [ __ ] but we're going to release it
566. 1:36:56in increments. So, the next thing was video. And if you look at the way that MidJourney turns images into video, it's
567. 1:37:04got an uncanny understanding of the it's bizarre of like the artistic intent of the image. Like if it's a 3D
568. 1:37:13image, it'll make it 3D and it'll have depth and and if it's like 2D artwork, it'll it'll create planes. like it just
569. 1:37:22seems to have this uncanny understanding of the structure that's that's being communicated in a in a in a still image.
570. 1:37:31Um, so I think 2026 we start to see world models and then I think in 27 those world models start to get smart.
571. 1:37:38You start to put all of the intelligence of chat GPT inside an environment you can enter. Um, and by and by 2028, I think
572. 1:37:50the robots can all do everything. I think all of these AI models can all do everything. And I think we're trying to
573. 1:37:56figure out what the [ __ ] is our role. Save your voice. Yeah, I know. Um, it said you can't work remotely before
574. 1:38:09the pandemic. Look what happened. Exactly. Exactly. What the pandemic taught us is that we can just [ __ ] change the rules.
575. 1:38:19And what AI is going to force us to do is change the rules. Just is. It's not good or bad. It's just progress.
576. 1:38:29Like you could certainly argue that progress is horrible and science is horrible. But it wasn't that long ago. It was like
577. 1:38:38200 years ago that on average we were living to be like 35, right? It's better now. Like, is it perfect? No.
578. 1:38:52Is it a [ __ ] show and we have a shitty [ __ ] health care system and we've got corrupt insane politics? Yes.
579. 1:39:04But like, do you want to be back like foraging for food and living to 35 and being taken out by dysentery? I don't think so.
580. 1:39:17The rules need changing. Yeah, exactly, Cam. The rules need changing. And there's also rules, Kim, that that you
581. 1:39:24experience personally with with accessibility that one of the things I realize about AI is that there are all sorts of
582. 1:39:32accessibility challenges and if you've got, you know, a disability, then then you're acutely aware of that. But even
583. 1:39:39things just like having a brain that processes things different than someone else, AI is going to be able to augment that.
584. 1:39:49And like that likely would not have been a a challenge that would have been solved historically because we're going
585. 1:39:57to solve the big things. We're going to solve whatever paralysis and and infectious disease and this and that.
586. 1:40:03and the fact that your brain's a little weirder than someone else's, we're not actually going to solve that.
587. 1:40:09Well, now with AI, maybe we are going to solve that. And maybe that accessibility allows that person's brain to come up
588. 1:40:16with an idea that gets put into society that makes things better, right? So, you know, is it going to be weird? Yes. Is it going to be
589. 1:40:29all good? No. Is it going to be all bad? No. Like life, right? Life's a [ __ ] storm. Life life's a [ __ ] storm. Just we do the
590. 1:40:44best we can. So along cames comes AI. It's going to make it more of a [ __ ] storm for a while. We are lucky enough I I'll say
591. 1:40:51this till the day I die. We are lucky enough to be the generation that gets to experience what life was like before this and what
592. 1:41:01life's going to be like after it. And I think the next three years we actually get to experience what it's going to be like moving forward.
593. 1:41:09I think everything to this point has been kind of glimpses, you know, into the uh Alice and Wonderland world. I think 26, 27, and 28.
594. 1:41:20You know, Neverland is is it Neverland? Is that Alice in Wonderland's world? It's just going to it's going to be here
595. 1:41:30in our hands. It's going to be amazing. Anyway, all right. Accel accessibility for different learning styles. All sorts of [ __ ]
596. 1:41:38Yeah, exactly. The ship be falling hard. I'm so often made wrong because I have too many ideas about a thing. AI doesn't
597. 1:41:47stop me but supports me. Yeah. Yeah. Corey, you're one of those weirdos that you're like you're like, "Hey, I know
598. 1:41:56what I could do. I think I might design tents." And people are like, "But you're a potter. You can't design tents. That
599. 1:42:04requires engineering." And you're like, "No, I think I'm going to design tents." And they're like, "But you're not
600. 1:42:11allowed. Don't you aren't Are you Can I still get a coffee cup?" Oh yeah, here's that. I'll be in the other workshop designing
601. 1:42:20my tents, 3D printing my connectors because I think this I have an idea for a better way to make a tent. Like I
602. 1:42:26could see you absolutely doing that, Corey. And people are just like they look at you like a [ __ ] weirdo
603. 1:42:33because that breaks the rules. You They've got you defined in their head as a potter and a chef and a and a singer
604. 1:42:41and that's it. That's all you can do. No more for you. Exactly. Then the tent is going to look like a banana and it floats. Exactly.
605. 1:42:50And then they'll see it after it's done and they're like, "Well, I thought she was weird, but that's kind of Hey,
606. 1:42:55Corey, can I get one of them tents?" And then you'll move on to the next thing. And they're like, "What do you mean
607. 1:43:02you're curing a rare disease?" Oh, yeah. I just figured after the tent thing, I figured I could cure I could cure lupus,
608. 1:43:10so I'm going to go do that now. You can't do that. Yes. Tense tense or so yesterday.
609. 1:43:24Exactly. Like once you've done the floating banana tent, do like do you really need to do more? I don't think
610. 1:43:30you do. I think it's time to go cure lupus. Anyway, all right. This was somewhere. This was not a meltdown
611. 1:43:37Monday, but this was definitely a uh there were some really good questions asked. And I just this this year is
612. 1:43:44going to be a [ __ ] trip, man. So, if you are not finding ways to center yourself and really understand
613. 1:43:53who you are, what you want, what your values are, the difference you want to make, um I think it's going to be rough. And if
614. 1:44:02you can do that, I think it's going to be quite powerful for you. And and to Corey's point, people are
615. 1:44:08going to call you weird because you're going to be like, you know, you go in and you check with yourself and you go,
616. 1:44:13"Huh, you know what I really want to do?" And then you're going just going to [ __ ] say something out of left field.
617. 1:44:20And everyone's going to be like, "But that's not who you are. You you're you're a commodities trader. You can't do something creative." Oh,
618. 1:44:28yeah. No, I'm going to go do something creative now. that that it's the world's going to get weird. It's going to get good. I I'm
619. 1:44:36telling you, if if you're one of the people being the weirdos, this is a time for weirdos. Reckoning for [ __ ]
620. 1:44:42time for weirdos right now. MG as a disabled person, definitely ever since I got my hands on AI tools.
621. 1:44:52It's turned around a lot for me and I so first, awesome, NG. Thanks for sharing that. And I, you know, and I think it
622. 1:44:59just gets I just think that keeps accelerating. It was funny. There was I saw a Tik Tok video from a woman at C CES and she
623. 1:45:09tried on an exoskeleton and it was relatively small. It was just like some straps on her knees and and like these
624. 1:45:15these motors on her hips and she goes, "Oh, I'm just going to walk." And she was walking and she goes, "Oh, I could
625. 1:45:21jog around CES like this." And as an able-bodied person, she was like, "Oh, this is kind of cool." And then she saw someone who
626. 1:45:32struggled with mobility try this thing on. And they went from like barely being able to get out of their chair to like
627. 1:45:39walking like unassisted at a natural gate. And she realized, oh, this is like there's there's there's a
628. 1:45:48very different leveling up for different kinds of people, right? And so, so the thing that, and again, we experienced
629. 1:45:54this in the salon a lot, that that the thing that seems kind of obvious to one other person is really revvely to
630. 1:45:59someone else. I think there's going to be all sorts of that stuff where someone discovers something and they kind of
631. 1:46:05share it and they're like, "Ah, this is kind of cool." And then they put it in the world and the world goes, "Holy
632. 1:46:09[ __ ] we can do that now." So, I think that that's about where we're entering. All right. autoimmune diseases and curing. Yeah.
633. 1:46:24Like let's let's get that [ __ ] let's get that show on the road. My my boys and wife are waiting for that.
634. 1:46:33Okay, I'm out of here. Um what day is today? It's Monday, right? Tomorrow's just a normal Tuesday. Next week I'm going to be in um
635. 1:46:44Washington DC. We're doing the A Salon's doing a flyin. So Daisy and Daisy Thomas and I are going to be hosting a bunch of
636. 1:46:51startups coming to DC. Um, and we're going to be on Capitol Hill and we're going to be spending time at the White
637. 1:46:56House and things like that. Um, just educating people on AI. So So next week might be a little funky timewise. I'll
638. 1:47:04do what I can. I'll probably do some lives, you know, while I'm while I'm on Capitol Hill. Um, great show. Sincerely, Rege. Thank you. Um,
639. 1:47:16so just just know that that's coming. All right. And yeah, that's pretty exciting. I'm I'm uh I'm excited to go
640. 1:47:24there and teach some politicians some I mean, I don't know what I'm going to teach them other than understand that AI isn't just something
641. 1:47:36you need to protect us from. It's something you need to protect our access to because this is the thing
642. 1:47:45that's going to allow us all to be to have agency in a world where the machines do all the tasks. What do we do? Well, we can use these
643. 1:47:57machines to do whatever the [ __ ] we want to do, but we need access to them. So, anyway, all right, everybody.
644. 1:48:06Thank you for hanging out and I will see you tomorrow.