1/26/2026 - Breaking Generational Chains: From Peasant Mindset to Artist Identity and Value

Transcript

1. 0:04Chippy, you ready? [music]
2. 0:27>> [music] >> It really breaks my heart. See a dear old friend go down to that one out place again.
3. 0:43[music] Do [singing] you know the sound of a closing door? [music] Do you know that sound somewhere before?
4. 0:57Do you wonder if she knows you any [music] more? Wait more. [singing] [music] Wrapped wrapped your [singing] love around me like a chain.
5. 1:14But I never was afraid that [singing] it would die. [music] You can dance [singing] in a hurricane, [music]
6. 1:28but only if you're standing in the eye. [singing] Yeah. I didn't [music] learn a new song. I I knew this song, but I had a major major
7. 1:38revelation about my personality as a hurricane. And it and this song is called the eye. [music] Woohoo!
8. 1:55[music] [music]
9. 2:14[music] [ __ ] again. Oh man, what's happening? What's happening? Good people. [music]
10. 2:33[music] Wrapped your love around me like a chain, but I [singing] never was afraid that it would die. >> [music]
11. 2:45>> You can dance in a hurricane, [music] but only if you're standing in the eye. [music]
12. 3:04[music] [music] Hey Danielle, what's shaking? What is going down good people? We got Mimi. We
13. 3:20got Corey Sandler. Hello to all you wonderful folk. It has been a week [music] I have not been here. Shame on me. [music] [music]
14. 3:47>> [music] [music] >> HEY, [screaming]
15. 4:02WOW. [music] WAIT. [music]
16. 4:17WAIT. Is it It's not simple to say. Oh, that's up here. [music] It's not simple to say [singing] that most days
17. 4:32I don't recognize me. that these [singing] shoes and the sab that place and its patrons uh [music] Wait,
18. 4:44wait. That's what I say. Most [singing] days I don't recognize me. [music] [singing] [music]
19. 5:02>> [music] >> Okay. [music] It's not simple to say. Most days [singing] I [music] don't recognize me that these
20. 5:15shoes and this apron, that place and its [music] patrons have taken more than I gave them. It's not [music and singing] easy to know
21. 5:29I'm not anything like [singing] I used to be. Although it's true I was never attention sweet center. I still remember that girl.
22. 5:43She's [music] imperfect but she tries. She [singing] is good but she lies. She is [singing] hard on herself.
23. 5:56She's broken and would ask for help. She is messy, but [music] she's kind. [singing] She's lonely, lonely.
24. 6:07Most [music] of the time she's all of this mixed up and baked beautiful pie. She's gone, but she used to be mine. [music]
25. 6:27>> [music] [music] [music]
26. 6:44>> Oh man. So, I figure what I'll do tonight is I'll talk a little bit about my trip to Washington DC for the big old flyin
27. 6:53with Daisy Thomas and the crew and uh some things we learned, some experiences. Uh I had never been to the White House
28. 7:04before. That was a trip. [laughter] Oh my god, you're back. We went through withdrawal. Hey, Kelly, what's happening? [laughter]
29. 7:14Thank you for the warm welcome back. [snorts] Um, we'll do that. Um, we're going to talk about some other stuff. Um,
30. 7:26I'll probably talk a little bit about my practice. I've I've had some interesting I had I had a couple of interesting experiences in DC
31. 7:35um related to daily practice. Um, I would say the nice thing about a daily practice is it's a daily reminder that
32. 7:47you could be doing your daily practice [laughter] in deeper ways. How about those Pats? Uh, come on. I mean, come on. Really,
33. 8:02Broncos? You can't you can't drive. You couldn't even drive for a [ __ ] field goal. Really? Come on. >> [sighs]
34. 8:11>> Can you move the second screen? Oh, up a little. Yes, like that. Small Kyle up and [clears throat] then like and then
35. 8:25like like that cuz you want to see me twice, right? You want to see this this this version of me over here. You want to see that one.
36. 8:36So you get it's like that's like the little map of me. Dust check. Yeah, I already did the dusting thing. I
37. 8:43probably didn't do it good enough. And then this me, this is like the zoomedin version of the map. You want to
38. 8:49see both of those cuz the the uh the beauty is profound. You you don't want to miss any of it. Um,
39. 9:05looks like I need to recalculate. [laughter] Vickiy's in the house. Joy Perty's in the house. [music] I think I saw Source Camp. I saw Steo.
40. 9:18Who else we got? William Clark is here. Jose Gonzalez. What's happening? What's happening? Silver Fox in the house. Hey, Corey Sandler.
41. 9:33Those cool little those cool little potion pots you made. What are What are those? You're up there making like like tincture pots.
42. 9:44What kind of witchery do you have going on your in your little workshop? Are you going to Are you going to sell
43. 9:54sourdough starter in those little things? They are mighty cute. I like potion pots. We're all here. Tupplot
44. 10:01Tom's here. It's good. Mimi's here. This is awesome. [music] [music]
45. 10:17>> [music] >> Wait, they're for a film series about the main character is a witch and a potter. Well, they're [ __ ] cool. Is
46. 10:30this a film you're making? Are you doing like an AI film? [music] Oh, I have a weird thing, too. I have a I have an index finger story.
47. 10:43And it's not pleasant. I have a nonpleasant index finger story. Good to have the fan back together. No, a real Netflix like miniseries
48. 10:54that that you're working on. Are you making these for that, Corey? [music]
49. 11:08Actually, [music] yes, I'm oral viting
50. 11:24pottery. Is orroviding a word? [laughter] If if oruroiding is a word, I don't know it. >> [laughter]
51. 11:39>> Oh, providing or [laughter] providing. Providing. Yes. Okay. Or providing. I thought it was some witchy kind of [laughter]
52. 11:51I I think Corey. So, do me a favor. Next time you go in there, say, "I've been orroiding um pottery all week for the production."
53. 12:02And when they ask you what that means, you just go, "Oh, it's it's a witch thing. [laughter] Potion bottles and other pots for uses
54. 12:12for a studio." [music] That's really cool. Congratulations. Oh, that's so cool. [music] Have you done stuff like that before? Did they
55. 12:21find you on the Tik Tok? [music] I'm just waiting for a Netflix series about an angry Gen Xer sitting in the corner office.
56. 12:35[music] Yeah. Yeah. Actually, you should tell them that they're AI generated cuz I saw the one little top has the little curly
57. 12:46queue on it and that's from your character. Like, so you stole from yourself. You stole designs from yourself. [music] I
58. 12:54know what you're doing over there. There's nothing original. Everything is some idea stolen from someone else. Even
59. 13:01if you steal it from you. We're all artist language models. [music] Director and writer contacted me. She had one of my potion bottles.
60. 13:12That's so cool. Congrats. But I you know what I like about this community is that you guys show up and and you
61. 13:28are willing to put yourself out there to just be. You're willing to let yourselves evolve. When opportunity comes knocking, you're
62. 13:38like, "I'll give it a shot. [laughter] I'll make I'll make potion bottles for a movie. Why not? >> [laughter]
63. 13:49>> Vicki would have been here earlier, but their daughter picked the wrong time to visit. Those children are never
64. 13:56convenient, are they? If it's not one thing [laughter] [music] [music]
65. 14:17>> [music] [music] [crying] [music]
66. 14:42>> Oh, grace. Desperately heading his old place. Dreamed to discover a new [singing and music] place. Bured himself alive
67. 14:52[music] inside his basement of his facement. He's working away on [singing] displacement. What it would take to survive.
68. 15:06So when you're done with this [music] world, [singing] you know, the next is up to you. [singing] And [music] for once in his life, it was
69. 15:20quiet [music] as he learned how to turn with the tides. [music] And the sky was a flare as he [music]
70. 15:35as he came [singing] came up for air. I don't know the rest of the words to that song, [singing] but it's a cool song. [music]
71. 15:53[music] >> [music] [music]
72. 16:13[music] [music]
73. 16:33[music] [music]
74. 16:51>> Okay. Enough guitar madness. Um, where shall I begin? Uh, if anyone Kyle learned a new song. I did. I've
75. 17:06learned a couple of new songs. Well, they they aren't they're actually songs that I knew, but I tend not to play them
76. 17:11because I don't really know them. [laughter] Like I I have learned in my life that there's a difference between being able
77. 17:19to look at like a guitar tab and play it and actually playing it. Those are two very different things. Um because the
78. 17:29actually playing it, you actually have to know it. And when you're looking at the tabs, you've you convince yourself
79. 17:35that you actually know it, but you don't. Um okay. So, so last week I was in Washington DC. I was there as the host of a flyin uh
80. 17:48where the AI salon hosted uh 13 different AI startups and um the the big day was Thursday. Um although we did have a really
81. 17:59fascinating event on Wednesday which was a uh a roundt uh panel discussion uh with four of the startups that was
82. 18:09co-hosted by the abundance institute and AI salon um and that was um that was really fascinating. Um it was in it was
83. 18:24in the um at the capital in the basement of the capital they have offices and so we were in an office that had I don't
84. 18:33know 50 chairs in it maybe. Um and I was expecting you know seven people to show up [laughter] cuz you know that's how this [ __ ] goes
85. 18:44sometimes. But it was it was essentially a full house. And so these were all staffers of legislators on the hill. And
86. 18:52so it was it was an event that people clearly wanted to be at. Um it was a lot of young people. Um a lot of people
87. 18:58taking notes, a lot of people asking good questions. Um it was the four startups basically telling their stories
88. 19:06and and three of the four startups that were in that roundt are the ones that I um uh whatever led around the the White House meetings.
89. 19:19Um and so it was it was good to get to hear their stories first kind of as an audience member. I did get an
90. 19:26opportunity at the end of the panel to talk about the AI salon and talk about um the opportunity that I get to witness
91. 19:36in this community of of you all doing remarkable things with AI and approaching AI from a human-centric
92. 19:44point of view. Um, the one thing that strikes me every time I go to Washington is how surprised people are
93. 19:53that AI is not just this evil thing that is going to, you know, kill us [laughter] because I I mean, honest to God, I think
94. 20:04all they hear is constituents going, "AI is evil. You got to stop it." Um, so when they hear very simple stories, what
95. 20:11I think are very simple stories of people trying to run their businesses using AI, um, it's a big deal. It's a
96. 20:19big deal. And it's really amazing to watch those staffers and legislators, um, I don't know, see the other side of the coin
97. 20:32is is the best way to put it. And that that was really inspiring. So that was that was that was the first day. Um, and
98. 20:39then that night we had a gathering reception where all the we we hosted it again and and we had all of the uh all the
99. 20:49startups there and I got to give um welcoming remarks and I don't quite know how to say this but so in the past six weeks to a month I've
100. 21:05been really working on this daily practice and really working on me and how I show up to stuff, right? How I
101. 21:17show up in the salon, how I show up for my projects, how I show up for myself, how I show up for my family. Um,
102. 21:27and one of the big revelations was this idea that for 60 years that I had a subconscious like I knew it was there, but it was it
103. 21:39was so automatic that it was like it was reality and it was this voice in my head where whenever I would think about doing
104. 21:48something like going up and introducing the AI salon and, you know, telling these these people. I'm happy to have
105. 21:56them there in in Washington DC. Um the persistent voice in my head was they don't really want to hear from you.
106. 22:04Yeah, they don't want to hear from you. It was very matter of fact. And so what that meant was that every
107. 22:15time I would have to get in front of a group of people or say something, even though I've got the ability to say words, good, [laughter]
108. 22:26you know, I got the training for for words smithing. Whenever I would have that opportunity, I would have this
109. 22:37internal battle of, well, they don't really want to hear from you. Well, just just go talk anyway. It's okay. And it
110. 22:46was it was it was this they don't want you here was the emotional reality. Every time I would do anything from writing an email to
111. 23:02reaching out to someone to speak on a podcast to standing up in front of a group of people and the result of it was things like
112. 23:10panic attacks and anxiety and and even if I managed to not have panic attacks and anxiety, what what would
113. 23:21happen would would be this. I would get up in front of a group of people like that and just my training would kick in
114. 23:29and my natural ability would kick in and I' I'd talk and I'd make jokes and I'd do the things, but I would be completely disassociated
115. 23:41like like I wasn't even there. And so I would do these things and then after them like not even really know what I said,
116. 23:55not really take in what happened. Um and then after after an event like that, I would I would either completely
117. 24:07dismiss it. Oh, that was whatever. Like especially if it was really if someone's like, "Oh, that was really amazing." I'd
118. 24:12be like, "Yeah, yeah, whatever." I'd completely dismiss it or I'd sort of amplify it in some ego [ __ ] way, but
119. 24:21I but I was not present. I was not present to those moments. And so starting with with the round table on
120. 24:30Wednesday on Wednesday morning when I was asked to come up and say something at the end, normally that would be a high anxiety um
121. 24:41likely a panic attack or or like panic attack symptoms kind of a moment. And I didn't have that. Um, my mantra for the past three weeks
122. 24:53has been they really they really want to hear they really want to hear from you. Um, and they always have. And so I wake
123. 25:02up every morning now and I I journal that. I write that in my [ __ ] journal. So if we're talking about daily
124. 25:07practice here, part of my daily practice now is I get up and I I'm So you all know probably more than anyone that I
125. 25:17can [ __ ] kick a habit into gear, right? If I decide I'm gonna go live seven nights a week for the AI learning
126. 25:24lab, I'm gonna [ __ ] do it for a year, right? Like if I commit for a year, bang, I'm just gonna go. So I' I've got
127. 25:32that skill. So my new skill is I wake up at 7, I take a shower, I take Champion for a walk at 7:30. We have we have a big yard, so I don't
128. 25:41have to walk him, but I'm just doing it to get my [ __ ] ass out there and breathing air and letting my dog go
129. 25:48sniff other dogs piss cuz that's what they love. He is much happier as a result of that. And then I get back and and I write in
130. 26:00my journal, they really want to hear from you and always have. And then I write down who wants to hear
131. 26:08from me and what do they want to hear? If I breathe air right now, I'll get frostbite. Yeah, [laughter] Brandon's in
132. 26:17Cleveland in two degree weather with with a foot of snow. Our sales guys up in Buffalo and it's been snowing for two
133. 26:23days. He said it's absolutely brutal. He's like snowb blowed like you know every three hours for a day and a half. Anyway, so
134. 26:34so we're having this cocktail party and there's like 35 people in a 30 person spa space. It's tight. And Kathy um Kathy comes up to me and
135. 26:45she goes she goes, "Okay, you ready to ready to give your speech?" And you know, I had thought about what I wanted
136. 26:51to say about the salon. I had thought about what I wanted to say about you know, you all and your stories. I
137. 26:56thought about what I wanted to say to these startups and what's important for them to say and when she said, "Are you ready to say
138. 27:09this?" I, you know, I said, "Sure." And I, you know, I could feel my my blood pressure rising. And she goes, "Let me go get some sort
139. 27:17of noise maker." And she brought back like a gimlet glass and a fork [laughter] on a tray. Right. So I picked
140. 27:25it up and and I and I was like, "Well, I guess I'm [ __ ] doing this." And so I just went bing bing bing bing bing and just [clears throat]
141. 27:35all these faces turned to me and I took a deep breath in and I just said, "They really want to hear from you and they always have."
142. 27:47And I could feel all that pressure drop like lower. It just went like a like a a tire deflating and and I started talking
143. 28:04and so in real time while I was doing this I was noticing a couple of things. the the room was long and skinny. So,
144. 28:13I'm like in the middle of it and there's like, you know, two rows of people in front of me, but then most of the people
145. 28:19are off to the sides and it's like there's like, you know, 15 people over here, 15 people over here and a few in front of me.
146. 28:27And so, I noticed that I was actually when I was looking people in the eyes, I was actually looking them in the eyes and like taking
147. 28:38them in like I was allowing myself to see myself being seen. And like in real time, I recognized that that was not normal. That what I
148. 28:53normally do is I have this like plexiglass shield where I make eye contact, but then I go [ __ ] glossy eyed. I don't I just I just
149. 29:03disassociate. And I wasn't doing that. And the other thing that I noticed was there were kind of four main sections
150. 29:10that I wanted to talk about, right? I I wanted to introduce myself. I wanted to talk about what the AI salon was and why
151. 29:17it was important and what we do and this idea of AI readiness and and the idea of you know what it what it means to to
152. 29:25think about um you know human centric use of AI and how important it is. And then I wanted to talk about how
153. 29:33important every one of their stories was. And I and I wanted to wrap it up and I wanted to talk about, you know,
154. 29:40why this was personally meaningful for me. Very often when I go into that disassociative state where I'm not
155. 29:49present, all of those thoughts go out of my head and then I just say whatever I say. And one of the things that I
156. 29:55noticed was the thoughts didn't go out of my head. They were just there. And I could I like there was a there was a slowness, a
157. 30:05calmness. It wasn't this frenetic panic. There was just a calmness. And it was like the ideas were just kind of
158. 30:13floating on the surface of my brain. I was like, "Oh yeah, that one's coming up next and I'll I'll say that one." And
159. 30:18and then I would sort of tee it up and I would talk about it. And you know me, like I let myself get emotional a lot.
160. 30:24So, I got, you know, emotionally connected to some of the things I was saying, but it but it didn't like I
161. 30:30didn't run down a [ __ ] rabbit hole with it. I just felt it, did it, and so I just connected with the people and I
162. 30:37could like see them engaging and nodding and appreciating and I was there and I was present. So, I think for the people in the room,
163. 30:51it was probably a nice warm welcome from the guy that started this thing called the AI salon. I don't know that they would have
164. 31:01noticed a difference necessarily if I had been this disassociated, manic version of me or this calm one. But for me,
165. 31:11this was a very very different experience. And it and it's the direct result of some coaching work that I've
166. 31:19been doing with with Andy and with the daily practice and with being intentional, recognizing that AI is not the goal, [laughter] that us
167. 31:31as humans is the goal and using AI to to amplify that is really important. Um, but it's a direct result of all that
168. 31:39stuff. And, uh, that was very cool. It was very powerful. Um, it's the, you know, it's those little victories in life, right? Like,
169. 31:51like I'm [ __ ] 60 and like when I was doing agency.com, you know how many of those [ __ ] speeches I gave?
170. 32:03Like every time we acquired a new company, I have to fly to [ __ ] Europe and sit in front of a bunch of people
171. 32:09and say, "Hey, you know, I'm your new creative boss." [laughter] You know, they they didn't necessarily
172. 32:17like Americans all that much [laughter] even back then. Um, and I was so disassociated. I gave so many of these things. I got really good
173. 32:29at it, but I was never [ __ ] present. like I got to build one of the biggest agencies in the world [snorts]
174. 32:40making some of the coolest stuff like like innovating and doing creative stuff and stuff that I should have been
175. 32:47present to and proud of and I was completely disassociated. So at 60 being there and and giving a similar kind of
176. 32:56talk that I've given hundreds of times before, but to not have it be this panic was just beautiful, just [snorts] simple. It was just me. It
177. 33:08was there like I've got the skills to talk but now I was I was actually present to my own power and my own grace and my own humanity and
178. 33:23I was present to the [clears throat] fact that people were seeing me like taking me in like I took in that they
179. 33:31were taking me in. I don't know that I've ever really done that like that. So, that was kind of beautiful. And it
180. 33:39was funny like when I got back to my hotel room, normally when I'm when I'm in that manic state, I'm so [ __ ] pumped full of adrenaline
181. 33:50that when I get home or back to a hotel after an event like that, I just [ __ ] crash out. And I didn't do that because
182. 33:57I wasn't way up here. I was in this more calm, centered place. Here, I'll show you something. I you know [laughter] is anyone still
183. 34:13here? 24 of you. You guys are awesome. [laughter] Um I I know I'm just talking. I'm not paying attention to anyone. Um
184. 34:28I want to show you something. Tik Tok pin. This is a big leap forward, Kyle. Thank you. It is. It really is.
185. 34:47Um, let me share my screen. So, I'm going to share you share an image with you that
186. 35:02I made. This was after a coaching session I had with Andy and we were talking about Oh, that's great. Thank you, Brandon.
187. 35:15You take that pin. [laughter] I think this is total [sighs and gasps] total of vulnerability. Very hard to do.
188. 35:26Thanks, Mary. It It wasn't hard to do until I read that comment. Now it's hard to do. Um, I I was talking with Andy about um
189. 35:43how I create how I create things. And the image that came to mind was a hurricane. And
190. 35:59I've got this um intense [clears throat] like category 5 energy to create. And that's the guy in the upper left here is
191. 36:09like this manic I'm going to make some [ __ ] stuff. Like at the at the upper end of the hurricane is all this energy that
192. 36:19is like big. It's like big ego. It's like if we can do it for a hundred people, we can do it for a thousand. And
193. 36:24if we can do it for a thousand, we can do it for 10,000. [ __ ] it. Let's do it for the whole world. It's this it's this
194. 36:31instinctive energy to go up and out. And then I oscillate between that guy and this
195. 36:45really small peasanty low energy bottom of the hurricane destructive energy version of me. So in the lower right here is this version
196. 36:59that's got this rope. And so whenever this guy gets too big, I've got this version of me that's like, "Hey buddy,
197. 37:09come on down. Come on down to reality, you [ __ ] asshole." Like, "What are you doing? We're not that big." Right?
198. 37:18And so I have this and they're both this frenetic energy. And one one is like a frenetic energy to get smaller and more
199. 37:26destructive, shut it down, break it, and one is this sort of just insane big out there version. Some might call that balance Tik Tok
200. 37:39pin. Yeah. And so what struck me was my dad was a pilot and he used to fly C130s. And if you don't know C130s, they have a
201. 37:48modified version of a C130 that they use to fly into the eye of hurricanes. So hurricanes have these 150 180 mph
202. 37:58winds and these planes are designed to fly through that turbulence and and the goal is to get into the eye
203. 38:07of the hurricane so that they can take measurements and the eye of the hurricane is completely calm. So that song that I started out with,
204. 38:17the Brandy Carile song, The Eye, you can dance in a hurricane, but only if you're standing in the eye is the is the line
205. 38:24from the song. And it's like that song that this image of hurricanes has just been there for me. And so
206. 38:33the place that I'm finding myself is is in the eye of the hurricane. like the chaotic big thinking me and the the
207. 38:43small thinking, you know, let's let's bring it down there, Skippy. I've got 60 years of knowing how to be
208. 38:51those guys, right? And that there's something about that energy, that chaotic, [ __ ] insane category 5
209. 39:00energy that I can tap into. It's not a bad thing. It's just a thing. But the reason I have projects that are like in
210. 39:08fits and starts is that it's only chaos. It's like all big, all small. All big, all small. Destroy it. Make it smaller. Quit.
211. 39:18Make it bigger. Make it less realistic. Right. What if like that talk that I gave, I can just go, I'm willing to listen to
212. 39:32both of these. There's probably some value in both of these voices. is what if I just sat in the center in this calm
213. 39:38place and just tapped into the energy as I need it. So anyway, so that's the image like we we live in this remarkable time where
214. 39:49you can talk a Renaissance painting into existence centered on your vision of something. Oh man, I was late rewinding 10 minutes
215. 39:58on 2x speed to catch up. Oh, that's cute. That's sweet. The dude. Yeah, exactly. the dude just [ __ ] sitting there in the in the eye of the
216. 40:06hurricane. I'll show you one other picture. This one's a little more vulnerable, but [ __ ] it. Same style.
217. 40:22So, one of the other revelations that I had is is that I had a real
218. 40:38a real resentment for what I [laughter] for what I now call Yale row boys. [laughter] So Yale robo are like this dude over
219. 40:50here standing in front of his Jaguar in front of Yale in his in his little preppy shorts and jacket. And and this is again this is another
220. 41:02coaching session with Andy that I that I had this revelation cuz I I forget how we were starting and I I said something like I hate Yale Rob
221. 41:12boys and I think her response was something like hate's a strong word [laughter] and but [clears throat] it but it led us
222. 41:21into this conversation where a term popped popped into my head for myself that I've never thought before, which is
223. 41:37I I have in most of my life seen myself as a peasant. didn't have money, didn't grow up with privilege, didn't go to an Ivy League
224. 41:50school, and that I was a peasant in some sort of bizarre competition with but lust after the Yale robe boy types, right?
225. 42:07And then as we talked through this more and more, it struck me that this wasn't just me. That my grandmother
226. 42:16was like this. She resented people that were successful and rich, but wanted to be them desperately. And my mother resented them and wanted
227. 42:27to be them. She always wanted me to dress preppy. She's like, "Dress preppy. You should wear docksiders."
228. 42:33And I always [ __ ] hated that because I knew that I was a peasant. And again, I've never used that word in my life. It
229. 42:40just came up this past month. But it struck me that that that dynamic is at least three generations deep in my family.
230. 42:57And and then you know the this guy in the center, this [ __ ] crazy the dude creative dude with his you know [ __ ]
231. 43:06crazy patterned shirt and his long hair and his many projects and his instruments is who I really am. that the whole time I thought I was in
232. 43:17this game in competition with these people that are likely every bit as [ __ ] flawed as I am. Everybody's [ __ ] up.
233. 43:29Whether you went to an Ivy League school and had an awesome rich daddy or not, you're probably you're probably more
234. 43:36[ __ ] up, right? The expectations there, the [ __ ] rules, the how you have to live in society, it's got to be [ __ ] exhausting.
235. 43:46And what I realized is that what I've successfully done in my life is I'm not even in that game. I'm in a different game. I'm the artist.
236. 44:02I'm an artist. I look at the world and I can see things that other people can't. I can look in the world and I can see possibility.
237. 44:15And because I have this [ __ ] hurricane energy, if I see possibility and I fall in love with it, I [ __ ] do it.
238. 44:24Like, I'm not even playing the same game. And so when I got to DC this time, what I realized is that Washington DC
239. 44:37and and the reason I have kind of secretly I've never said this before, but the the the reason I have secretly hated these DC flyins
240. 44:47is that it's not my world. DC is nothing but Yale row boys and girls, right? Like Ivy League
241. 45:02nerds and geniuses and good-looking [ __ ] freakishly good-looking people. The guy that moderated this Wednesday
242. 45:10session, he was literally like 67, chiseled, had a voice of the gods. [laughter] It was just amazing. And I think had I not had this
243. 45:24breakthrough, like I have this weird sort of resentment to them. But but what it really is more than resentment is I know
244. 45:35that that a peasant should not be in the same room with these smart, privileged, powerful people. I know I shouldn't be there. They know I
245. 45:48shouldn't be there. That's been my reality for my whole [ __ ] life. And so this time I'm I'm taking the car
246. 45:58from the airport to the hotel and we're driving through DC and I'm seeing the monuments and it's striking me. Holy
247. 46:06[ __ ] No wonder DC feels weird to you. It's it's full of Yale boys, right? And then I just I had this image and I'm like, "Oh,
248. 46:19they need me here. I bring something they don't have. I can see things they can't see. They really want to hear from me."
249. 46:32And so the the chain in this image, the chain, you know, here is the chain breaking from my three generations of being this small,
250. 46:43small-minded peasant in competition, but lusting after that life only to realize, [ __ ] no, I don't want that life.
251. 46:59I mean, I'll take some money take some of that that old money, but I don't give a [ __ ] about that. I'm this guy. I'm this other thing.
252. 47:13So, it allowed me to be. It allowed me to be in the presence of people that would normally intimidate me and give me anxiety and give me
253. 47:32envy and just let it go and just go, I'm I'm playing a different game. They actually
254. 47:46need me in the room. They need me in the room because I can see things they can't see. Literally, I can literally see
255. 47:54things they can't see. I can do things they can't do. So that was that. And then you know the
256. 48:10the the way these things work there's there's generally two different groups. There's a larger group that goes to
257. 48:18Capitol Hill and for the first two flyins that's where I went and then there's usually a smaller group that goes to the White House.
258. 48:25Um, and they're very different kinds of meetings. Um, you know, the White House, the staff there is tied to the president
259. 48:32and, you know, they're not worried about legislation. They're just running the government. You know, the
260. 48:41legislators are trying to figure out what to do next. The the people in the White House are just running it. And so,
261. 48:46it's a very different kind of meeting. And so, the past two times I've been on Capitol Hill. This time, not only did I
262. 48:53get to go to the White House, I actually led the group, right? So, it was me that introduced all the meetings um you know,
263. 49:00introduced why we were there, introduced the startups that were there. Um and then they added um a meeting in the
264. 49:09morning uh at the Department of Commerce. So, I got to do two things that day. This was on Thursday. one was
265. 49:15go to the Department of Commerce and um that was fascinating because actually hearing that you know the
266. 49:24agencies in the Department of Commerce actually have a [ __ ] clue about AI. They know what's going on. They know
267. 49:31what's happening. They're hiring talented engineers out of the labs. Um, and so when they when when the guy that
268. 49:43we met with heard the stories of these startups, he actually you could see his gears turning. Okay, I need to talk to
269. 49:50someone over in in this agency and someone in that agency. We got to get our data cleaned up. We got to get our
270. 49:55data out. We got to get it out right. Like it was really cool because he actually had a [ __ ] clue. Um, and
271. 50:01that gave me a lot of hope. and um and in the White House, you know, I didn't think I would be I didn't think it was a different deal
272. 50:17than going to to Capitol Hill. But when I got on Tuesday, when I woke up uh was it Tuesday morning? No, when I
273. 50:27woke up Wednesday. No, it was it was two whatever it was Tuesday afternoon whenever I flew in. I opened up my email and it and there
274. 50:36was you've got an email from the White House [laughter] and I was like, "Oh shit." And it's like, "You've been approved." And it was
275. 50:42on it was like White House letterhead. I was like, "Oh [ __ ] I'm going to the White House." Like, "This is a big [ __ ] deal." It
276. 50:52hit me. Um, so, so, so you do have some qualifications. We suspected it all along. Exactly. Exactly. Um,
277. 51:03and so we, so we went to the White House and and we had to like we had to like double fill out essentially Google forms for
278. 51:13security and [ __ ] like that. and you go through sort of three layers of of security when you enter and you know
279. 51:21there's a risk you get behind like a you know a gaggle of like 50 students that all have to get through security. Um so
280. 51:28we didn't hit that. We just we just went straight in. Um we were mostly in the Eisenhower building but we were
281. 51:34basically just across the driveway from the from the White House. So So in the Eisenhower building we could you know we
282. 51:40could go out on the porch and look at the White House. We saw the cranes building the big beautiful ballroom. [laughter]
283. 51:46So, I got some pictures of that. I got some some pictures of the construction construction equipment for our our new ballroom. Um,
284. 51:58and here are the thing here a couple of things struck me. Um, one thing that I knew in my head, but I didn't actually take in
285. 52:09is that like when you hear White House staff, somehow in my head, I had that as like like the staff of a house, like
286. 52:17there's 20 or 30 people running around doing things. No, no. The Eisenhower building is like hundreds of offices
287. 52:24that represent all these different agencies and all these different functions of government. And it's like,
288. 52:30you know, there just thousands and thousands and thousands of people in this thing. And every time you get a new
289. 52:35president, that entire building flips over. Like all the all the people from the previous administration leave
290. 52:44and all the new people come in. Um, and like the scale of it was remarkable. So that that was one of the things is
291. 52:53just the scale of of the operation was was just impressive. [sighs] The other thing that kind of struck me is that other than
292. 53:07lots of prominent pictures of you know the the the current occupant of the White House um the place didn't have a political feel
293. 53:19to it. It it didn't feel partisan. Like what it felt like was there's a bunch of people in here trying to figure out what their job is and
294. 53:29trying to figure out how to do it and deal with all the people that come into that building to ask them for something,
295. 53:37right? Which is sort of what we were doing, but our thing was a little different. We weren't asking for anything. We were literally there
296. 53:43saying, "Here are some companies doing cool stuff with AI. We want to educate you that there are, you know, there are
297. 53:51two sides to the AI coin. One of them is risk and danger. We think you're pretty well aware of that. The other one is
298. 54:00opportunity and the difference that generative AI is making in people's lives and we want you to meet some of
299. 54:06them. So, so we were there in a very non-confrontational way. And so we did three different meetings in the in the
300. 54:12on the White House grounds. Um uh the first one was with the office of the the liaison or something like that.
301. 54:19It's basically that office's job to connect you with other people you should be talking to. So that meeting was
302. 54:26interesting. He didn't give too much of a [ __ ] about what the companies were doing, but what he was interested in is
303. 54:33figuring out who who should these people be talking to. So that was kind of fascinating. Uh the next meeting we had
304. 54:40was a guy that showed up 40 minutes late and didn't want to be in the in the meeting. So [laughter] that just happens sometimes. He was a
305. 54:48bit of a bit of a tool. Um definitely a Yale robo type. But you know what what was cool was I didn't
306. 54:58have any resentment toward toward him in anything other than he was being a dick and I could just recognize him for being
307. 55:05a dick and but he was also stressed out and late and didn't want to be there. So that happens sometimes.
308. 55:12Um, and then the last meeting we did was with the Department of uh budget and whatever the [ __ ] the the ones that
309. 55:20spend the money um and and actually take the laws that get passed and figure out how to implement them,
310. 55:29you know, and run our government. Um, and there were there was two women in there and they were both very smart.
311. 55:35They were both very engaged. They were both very excited to hear about these stories. Um, and yeah, it was it was it was it was a
312. 55:47really powerful uh it was a powerful day. It was a powerful week being present to the fact that you're in
313. 55:57Washington DC, you know, sharing a lot of your stories quite frankly. um and and representing whatever it is that we've discovered
314. 56:09here together um as important and getting to to really represent that in an articulate uh passionate way to people that can
315. 56:21make a difference um was was pretty inspiring. So anyway, were you ever on C-SPAN? No, that's the thing. So [clears throat]
316. 56:32none of these flyins are anything like congressional hearings where the stuff you see on C-SPAN is a congressional
317. 56:39hearing, right? Where it's the room full of, you know, whoever's on that committee and then they're bringing in
318. 56:43people to actually testify. That's usually something where they're testifying on a specific bill and or or
319. 56:50a specific issue or you know someone's someone's in trouble and they're trying to you know [laughter] make it clear
320. 56:56that that they're in trouble. Um these meetings are much more behind the scenes relationship building meetings. So what
321. 57:06these are what these meetings are is if we do our job right like like Daisy Daisy Thomas was there and she was she
322. 57:13was on Capitol Hill this time and and she was uh she did a round table where she got to meet with some elected
323. 57:19officials one who's in the district next to hers in Florida um and he [clears throat] wants us to participate
324. 57:25he's going to invite us to do things there so the whole point of these meetings is when these legislators say
325. 57:32hey we got to get something going on AI who can who do we know that we can talk to that actually has a clue about what's
326. 57:39going on, right? Particularly for small businesses or individuals, we want to be on that list, right? And so that's
327. 57:46that's the purpose of these. So it's it's it's much more low-key than, you know, the big room with all the cameras
328. 57:53and all the the the Congress people screaming at each other. I didn't see any of that. I'm so addicted to speed C-SPAN one,
329. 58:02two, and three. That's awesome. [snorts] Um, in case you were wondering, I think you were one of the cool kids. Ah, that's
330. 58:15very sweet. Um, so anyway, that I mean that's it. I I haven't I know I've just been blabbing. I haven't been looking at
331. 58:22comments, but if anyone has any specific questions, I'm happy to answer them. Um, for me the the difference between
332. 58:35talking to staffers on Congressional Hill and talking at the White House was that the people in the White House and
333. 58:46certainly the people in the Department of Commerce, um, they actually know that shit's happening with AI.
334. 58:56like that was actually really was it was good. They're not they're not thinking necessarily about the laws and what
335. 59:03Congress should do. In fact, a lot of the conversations in the White House were, "Well, Congress should [ __ ] do
336. 59:09something about it." They didn't swear, but Congress should do something about it. Um they're like, "They write the
337. 59:16laws, we're going to put them into place, right?" um on Capitol Hill it was a much more frustrating experience at
338. 59:23least the last two times I did it because they're just they're the ones writing the laws and they have no clue what's
339. 59:29happening. So it it was actually good to be there. Let's see the comment about the Ivy League. So grateful you felt
340. 59:37realize that you definitely belong in DC. Such a big shift for you. Yay. Thank you very much. Yeah, it was it was a it
341. 59:42was a very big deal. I was surprised. So So this is good. all this heartfelt stuff. Brandon's response, I was
342. 59:50surprised your hair was given security clearance. [laughter] He's not wrong. This is one of the worst
343. 59:56haircuts I've ever had, but I look hip. I I look like one of those people desperate. I This is a haircut of the
344. 1:00:05guy that goes to the club that kind of stands in the corner, the creepy old guy at the club where all all the young
345. 1:00:11women are just ignoring him because it's so uncomfortable. This is that haircut. >> [laughter] >> It's the row club cut. Exactly.
346. 1:00:23Um, were Department of Commerce folks uh more pessimistic or optimistic about AI? Um, [sighs and gasps]
347. 1:00:38it's a great question. Like if I had to categorize his attitude, it was just one guy, but but he he oversaw
348. 1:00:48um I forget what his role was. He was like senior policy adviser or something like that. So he's he's fairly up there. Um
349. 1:01:02it was very clear to me that that AI in commerce for the United States is an active part of the
350. 1:01:17conversation. It's not like if AI comes like like when you talk to legislators, you're like are they even aware that AI
351. 1:01:25is here? Like like like on the legislative side, it's [laughter] very frustrating. They're like they don't
352. 1:01:31quite understand, you know, how internet works. like, you know, I fax my emails to my, you know, to my boss and then
353. 1:01:39whatever. It's just it's just a different thing. So, I I would say that he was acutely aware that AI is here, that AI is a big deal.
354. 1:01:51And what he was most interested in, which I thought was fascinating, was all of his agencies like Noah, you know,
355. 1:02:00the the national the weather folks and um you know, agriculture agencies and and like all these different agencies
356. 1:02:09are generating massive amounts of data. And what he was crystal clear on and and what all of the startups that were in in
357. 1:02:18my group were talking about was how they're taking data and leveraging it using AI. And so some of how they were leveraging
358. 1:02:26it was like eyeopening to him. Like oh that's pretty cool. I didn't know you could do that. In fact in was it the
359. 1:02:33commerce one? Yeah it was the commerce one. Um this woman Megan she she's doing a thing. She works um on farm data and
360. 1:02:45she's got an AI thing that can that can predict prices of commodities that are that are not on the Chicago
361. 1:02:53Merkantile Exchange or the commodities exchange in in Chicago. I think it's called the Merkantile Exchange. So
362. 1:03:00things like like California uh crops like pistachios, almonds, cranberries, I don't whatever the [ __ ] they are. There
363. 1:03:08were like four or five major California crops that are not on the Chicago Merkantile Exchange. And she using AI
364. 1:03:16can take all this data and soil data and predictive stuff and basically predict prices of these things moving forward.
365. 1:03:23And at one point he goes, "Wait, I'm sorry. Wait, could you go back, Megan? Did you say you can predict prices?" And
366. 1:03:31she goes, "Yes." And he goes, "To what level of accuracy?" And she said whatever she said. and he goes, "Okay,
367. 1:03:37we're going to need to talk." Like, [clears throat] like he he got what these companies were doing and
368. 1:03:48that his agencies need to get better at producing data that's ready for AI because to a person, they all talked
369. 1:03:57about the fact that they have all this data, but they have to spend most of their time cleaning it up so that it can be used.
370. 1:04:06Um, and so like his big takeaway was we've got to get better at at getting data out and getting it out in a way
371. 1:04:17that that companies like yours can use it. Um, so again, like it wasn't that it was optimistic or pessimistic. It was
372. 1:04:24like, "Okay, this stuff's here and we're doing everything we can to understand it, understand what the implications
373. 1:04:31are, and make sure you all have what you need to run your businesses." It was pretty cool. Um, my fear is that policy
374. 1:04:38makers in general are fairly ignorant of AI outside of of it as a concept. I don't even think they, Brother 52, I don't even think they
375. 1:04:49understand it as a concept. I think the the legislators I think we're in real trouble on the on the legislative side.
376. 1:04:57Um there's no real incentive or or motivation for them to do a federal bill. And so what they're doing is
377. 1:05:04they're pushing it back to the states. And what that's going to do is it's this is part of what we were talking about.
378. 1:05:10What it's going to do is it's going to create all sorts of some good, some bad, some completely irresponsible state
379. 1:05:17level bills, but small companies are going to have to deal with 50 different regulations when it comes to producing
380. 1:05:24AI businesses. Um, and that's it's just an abject [ __ ] nightmare. So anyway, Tik Tok question. I don't see it right
381. 1:05:31now. Their agencies need to get better at getting data ready for AI. That's huge. Yeah, it it was huge. It was that
382. 1:05:37was the commerce meeting was the the the meeting that I left feeling like, oh, there's actually people in our
383. 1:05:45government that understand what's happening. Like it made me feel better. What a nightmare. Yeah, it's a it's a
384. 1:05:52it's a nightmare. Um, will AI distribute power or concentrate it? Well, AI is not going to do [ __ ] I I think your question is is is the
385. 1:06:01right question. AI is not going to distribute or concentrate power. people are going to distribute or concentrate power.
386. 1:06:09If we've learned anything in the past decade, it's that the powerful will concentrate their power to the absolute extent that they can.
387. 1:06:25I think AI I think what AI is going to do is it's going to break the levers of power. Like it's going to break the levers of
388. 1:06:36power. Like who's powerful today is are going to be different than who's powerful 10 years from now because what
389. 1:06:44gets valued in society is about to shift because most of our value today is based on human beings doing the work
390. 1:06:56and the work is about to not be done by human beings. So, so that's going to dramatically shift things. The the thing that gives me hope is
391. 1:07:08there's a tipping point where you can't just keep all the money because you will have a revolution, right? So, I don't
392. 1:07:18know when that tipping point happens. So, I think what's going to happen is as AI gets better and better and better,
393. 1:07:23the people in power are going to keep as much as they can and then things are going to start to crumble and business
394. 1:07:28models are going to start to break and lobbying forces that were super powerful before are all of a sudden going to be weak and ones
395. 1:07:37that were weak are all of a sudden going to be powerful. But no one's going to go down without a fight. So I think the
396. 1:07:42next decade is the centers of power trying to maintain power and control while it's slipping through their
397. 1:07:50fingers and then other people in a power grab for it. Um so but I don't I don't [ __ ] know. I have a degree in acting. Um you can't
398. 1:08:02keep all the money says who. Elon probably thinks otherwise maybe. I I mean there there's a point at which it
399. 1:08:09breaks, right? If if you have 30% unemployment, um it's not going to be fun to be a rich person, right? It's just not it's like
400. 1:08:23if if you have 30% unemployment and don't find a way to support those people. So, at some point, listen, we learned with CO
401. 1:08:34that governments can just change the rules. So if something happens with AI that is a strong enough shift that it makes it clear this is an
402. 1:08:48emergency then they'll react like that's that that is if you have mor morals. I I'm not counting on morals at all. I'm
403. 1:08:58I'm just saying economically economically you can't have you know hyperacelerated unemployment because people will [ __ ] riot right
404. 1:09:11so did anyone talk about chips manufacturing concerns um in commerce he was talking about supply chain of rare earth
405. 1:09:24um he talked a little bit about Elon Musk and spaceships you know, putting GPU centers in space. Um, I heard a thing that Elon Musk just
406. 1:09:36basically cornered the silver market. Um, I don't know if that's true or not, but that sounds like a a crazy baller move to kick people out.
407. 1:09:49Um, yeah, that's all I got, man. That was that was it. I know I gave you a lot there that was more personal than
408. 1:09:56Washington DC, but you know, you're all family, so I appreciate y'all. Did anyone talk about China plus AI
409. 1:10:05fears? You know, it's funny. I asked I asked the guy at Commerce um if there was a concern about that. He very much deflected the question.
410. 1:10:21I did not get the sense what what I got the sense was they're they're aware they're aware that we have the lead.
411. 1:10:36They're aware that opensource is important. Like the closest they got to talking about China was open source is
412. 1:10:42important. Like I got a sense that open source is potentially a concern for them, which it should be because
413. 1:10:56if open source is powerful enough, then you you can't concentrate all the power in three brands, right? Every technical
414. 1:11:08revolution starts out with a thousand companies and it always distills down to three brands, right? In the in the early
415. 1:11:1590s it was AOL and CompuServe and whatever was the third one, Prodigy, right? And then in the in the mid 90s it
416. 1:11:26was, you know, Netscape and and whatever the three browsers were. And then it was, you know, Google and Facebook and
417. 1:11:35whatever, right? And so like it always concentrates down to three. And so as as the government, if you've got all the
418. 1:11:42power in three companies, then you can control it. Um, open source threatens that. So he talked a little bit about o
419. 1:11:49open source, but he didn't really deal with China at all. Um, the AI fears thing. I mean, he's he's acutely aware that bad
420. 1:11:59actors are going to be able to do bad things. Um, if you haven't seen it yet, um, Daario Amade today wrote a piece about,
421. 1:12:10so Daario Amade is the, uh, CEO and founder of Anthropic. So, the the ones that make Claude, he wrote a piece. He's he basically
422. 1:12:20said, "Strong AI is going to be here within one to two years." And he describes strong AI as a country of geniuses in a data center. Which
423. 1:12:31basically means imagine if you had 50 million noble laurate scale intellectual workers that work 24/7 at your disposal?
424. 1:12:46What could you make possible? He said that's coming in 1 to two years. Um [clears throat] and and he basically talks about what we
425. 1:12:57need to be careful, you know, what the dangers are. And like, you know, he said like one of the dangers is particularly
426. 1:13:04with biological weapons, you know, a a an individual if if they're given access to a tool that doesn't have the right
427. 1:13:12safety guard rails in it for things like biological weapons, like really bad stuff can happen at scale from even just
428. 1:13:19an individual. Um, that's an article worth looking at. Um, I read something about Elon and Silver also. Probably something he needs for
429. 1:13:30wolves. [laughter] Oh my god. It's like at $100 an ounce. Yeah, I think it it was 98 yesterday. 98 bucks an ounce or something like that.
430. 1:13:44Like the silver charts just crazy. Um, but yeah, like you know, he's going to need silver to make all these chips.
431. 1:13:52Like the the supply chain for the raw materials for chips is about about to get bonkers. But AI is going to solve
432. 1:13:58that, too. Like AI is going to start coming up with novel materials that we won't need to go get rare earth out of
433. 1:14:05the earth. We'll just grow it in a lab, right? So, um, I paid 15 cents a gram for Hill Tribe silver beads and silver wire for jewelry
434. 1:14:18making. Time to offload. There you go. Just melt that crap down and go go make yourself some money. They just want to
435. 1:14:24make money finding companies that break state laws with AI. Yeah, that's that's probably part of it. It's going to be a
436. 1:14:30nightmare for businesses with different state laws. I mean, partially because the the state laws kit too. Yeah, I I
437. 1:14:37mean any of the any of the Chinese open- source models um like they're just going to get better and better and better and better. Um anyway,
438. 1:14:49uh the other thing that if you haven't seen it, if you if you're not on X, you might not have seen it, but if you are
439. 1:14:55on X, you likely will have seen it. There's a new open-source tool called Claudebot. Cla WD, not UDE, Claudebot.
440. 1:15:09Um, and you can install it on a standalone computer. Um, and for some reason, like the first guy did it with a
441. 1:15:17Mac Mini and now everyone's buying Mac minis and putting these this Clawbot on these Mac minis. And basically what they
442. 1:15:24do is you give this thing full access to that computer and then it just goes off and does [ __ ] for you. Um, so it's like
443. 1:15:31having Manis or Gen Spark, these agentic things that go off and do a bunch of stuff for you. Um, but you can run it on
444. 1:15:40a local machine and then you can access it from anywhere. So you can you can basically text with it and things like that. Um,
445. 1:15:48it is very it's very raw right now and very new and and you have to be a little geeky to be able to install it. Um,
446. 1:16:00but I think it does mark a shift. I think I think we are exiting the era where being decent at prompting is enough to have an advantage.
447. 1:16:12I don't think it really matters anymore. I think everyone's going to be able to prompt to some level and these tools are
448. 1:16:19starting to get autonomous where you're not going to have to give them much context at all. They're going to go find their own context.
449. 1:16:25I think the advantage is going to start to be in understanding what's now possible and what tools make it possible
450. 1:16:34and being able to be kind of a an orchestrator, right? where your job is to have an idea and then understand
451. 1:16:44what are the things that you can deploy to bring that idea to life. Um so I think it's a very different skill set.
452. 1:16:51Um right now it's going to require some technical prowess but I think probably within a year maybe two it won't but
453. 1:17:00what will be required is understanding what's possible. So careful with Claudebot it will bank bankrupt you with
454. 1:17:08API token use. There you go. Okay. Glad I already have my Mac Mini. That's good. Anyway, it's I I don't I haven't I
455. 1:17:16haven't installed it yet. I may or may not I I don't really give too many shits right now, but I do want to know.
456. 1:17:26I do want to kind of experience it to just understand does it feel different or does it just feel like a shittier or
457. 1:17:35same version of Gen Spark but now it's running locally and I don't run out of Gen Spark credits. I don't know. Um but
458. 1:17:43it's at least worth paying attention to. So that's it. Claude Claude but no security. Yeah, exactly.
459. 1:17:58I agree. It may take more steps, but it will get there. Yeah, I want I want to set it up soon. Actually, Gareth, you
460. 1:18:07know, you know what might be fun if you want to set it up. I assume you can probably set it up in like an hour or two. It might be fun to
461. 1:18:16do that as a live stream. Maybe we can if you want um ping Andy or Brandon and maybe we set it up as a uh just some
462. 1:18:26sort of cool live stream and we'll promote it or something like that. Like just sort of set it up in real time and
463. 1:18:33then record yourself setting it up. That could be fun. Yeah. I want to hide and watch for a bit. Yeah, exactly. All right. It's It's
464. 1:18:43got to be late, right? Oh, no. It's It's not. We call those LOL's. Well, like I think that one's slightly different than an
465. 1:18:52LOL, Brandon. Although we can call it whatever we want. It can We can call that one an LOL. I see it more like like
466. 1:18:59uh Well, I guess it is. It's learn learning out loud. Yeah. What you said, Brandon. It's an LOL. I'm glad I had that idea. [laughter]
467. 1:19:12Matt Wolf just posted a walkthrough on how to set up Cloudbot. Cool. It lets you pick your model. I'm so
468. 1:19:21concerned with credit time things with API that seem to avoid the APIs. Crazy, I know. I Well, no. Like I think it's
469. 1:19:32important to be aware [laughter] of API limits and things like that, right? But I it's possible you could
470. 1:19:39tell Claudebot to limit your API access to this amount of time and go find more creative ways to get me [ __ ] that
471. 1:19:47doesn't require you burning APIs. Might be. I don't know. Okay. Um, lots are booked out for two months. Oh.
472. 1:20:00Oh, lols are booked out for two months. Yeah, I was thinking I was thinking, Gareth, if you want to do it, it could
473. 1:20:05just be like an informal thing like like you just pick a day you're going to do it and live stream it and then we'll
474. 1:20:11just we'll promote it for you if you want. And if you don't want to if you want to just like bang your head against
475. 1:20:17the wall on your own time, that's fine, too. Um, but it might be kind of fun to just, you know, watch and and record
476. 1:20:24someone just figuring it out on the fly. Um, okay. Couple of things. This week should be a normal week. Um, I'll be here at normal times.
477. 1:20:38Um, this week is our last week of the AI mastermind practice lab. So, we we do these 13week cycles. So, we're finishing
478. 1:20:48up the first cycle this Thursday. Um, if you're a member of the AI salon uh and haven't joined the mastermind, you
479. 1:20:57should. If you're a member of the mastermind and haven't joined the practice lab, you should. It's an amazing group of people um really
480. 1:21:05working and supporting one another to develop these daily practices. Um it's a like a lot of what I talked about
481. 1:21:13tonight, the breakthroughs that I'm having are a direct result of that group. Um so you should join that. Um what else
482. 1:21:24should I be talking about, Brandon? Um this Wednesday we've got the AI readiness project podcast. Um that's at 400 p.m. um mountain time.
483. 1:21:37And anything else? Office hours on Friday. Yeah, we'll get we'll get to that. So I think that's it. I think that's it. I'm
484. 1:21:48just getting back in the swing of things. Oh, let me tell you about my my finger my finger issue. Um, so I learned something that that
485. 1:21:58like your your index finger and your index finger on your dominant hand, that's like your solar your solar energy is like this finger,
486. 1:22:08right? Your your dominant hand finger. So I go to DC, I have all these amazing moments. I come back. I wake up Saturday
487. 1:22:19morning and it's like someone took a hammer to like to this knuckle on my index finger and like I couldn't
488. 1:22:29[clears throat] like it was completely weak and and it like this thing was bruised. It wasn't swollen, but it was
489. 1:22:36like it was like weirdly painful and like I couldn't pick up a glass. I couldn't pick up anything with my with
490. 1:22:43my index finger. like doing this was impossible. And it was like all day Saturday and then Saturday night at like 2:00 in the
491. 1:22:52morning it was so bad I almost went to urgent care. I'm like maybe I've got a clot. I like I didn't know what the [ __ ] was going on.
492. 1:23:02And so I took some Advil and aspirin and [ __ ] like that. And but it but it's like you know how when you when something is hurting and
493. 1:23:11you just can't do anything else cuz you're just like I hurt. I'm whiny. That was me Saturday. And then I woke up Sunday and
494. 1:23:20it was it felt a little better. Like it wasn't that acute thing that I had at 2:00 in the morning. It was a little
495. 1:23:25better. But then throughout the day it got worse and worse and worse and and it started to swell and I still couldn't
496. 1:23:30use my finger and my hand and I was just it was just weird. And then I don't know, I took some Advil and [ __ ]
497. 1:23:42before I went to bed. I drank a lot of water. I'm like, I've got to flush whatever's going on there out.
498. 1:23:48And I woke up this morning and it's kind of fine. It's still a little sore, but it's like I've got strength again. And
499. 1:23:54it's it's not this acute weird thing. So, I must have like maybe picked up a piece of luggage like I I like flipped a
500. 1:24:01tendon in the wrong place or something like that, but I didn't I didn't injure it that I knew of, but man, all weekend
501. 1:24:11I was useless because my finger was nonfunctional. It was bizarre. And so now I'm back. So, so anyway, did you ask
502. 1:24:20AI? I did ask AI because I was I was expecting AI to tell me like, "Get your ass to an emergency room. Um,
503. 1:24:28and Quinn was just like, "Oh, it's probably just you probably just pulled something and it's probably just it's
504. 1:24:34either repetitive stress inflammation." Cuz she said sometimes even a little inflammation can feel like a bruise um
505. 1:24:43and can do that. And she basically said, "Give it a couple of days and if it gets worse, go." But like she didn't think it
506. 1:24:50was anything serious. So I don't think it was either. I had that happen with my fingers about four years ago. It went
507. 1:24:55away. Yeah. It's weird. It was so I've never had it before. Um the fickle finger of fate. Exactly. It was just
508. 1:25:02like And that like that's my that's my going to go get some [ __ ] done finger. And it was just [ __ ] a limp noodle
509. 1:25:10all weekend and hurting. So I'm back. All right, Groovy. Um good to see y'all. Thanks for hanging out tonight and uh I
510. 1:25:20will see you tomorrow. Epsom salt soak and magnesium spray. Okay, cool. Beautiful. After a full day of chainsaw usage, I
511. 1:25:30couldn't open a water bottle for a day. There you go. Yeah, I could I couldn't open anything. It was It was bizarre. [snorts] So, but
512. 1:25:42I'm all goodter now. Um All right. All right. Good people. Just admit it, Kyle. You're exploring for nose hairs. [laughter] That's it. Um
513. 1:25:59um I will see you tomorrow. Thanks all. Have a beautiful beautiful evening. Bye.