10/27/2025 - My Disappointing Experience at TED AI and What the Tech World Is Getting Wrong

Transcript

1. 0:01All right, I'll be right back. Hang on one sec. Ready to sing?
2. 0:30All right. Going live there. Going live there. [clears throat] All right, champ. You ready to You ready
3. 0:38to howl at the moon? Huh? Are you ready to howl at the moon, big buddy? [music]
4. 1:12Come here. [music] Oh, [music]
5. 1:38hey, [music] hey, hey, hey, hey, hey.
6. 1:54>> [music] >> We are back, baby. We are back. [music] Everybody forgot we were gone. Danielle didn't. Danielle's here. [music]
7. 2:09Producer Brandon in the house. See slug of doom. [music] >> [singing]
8. 2:27>> I think we may need to record. See if we can get Champy to sing for Suno. Hang on, people. Calm down. Just everybody
9. 2:35calm down. I know you're excited. You want to hear about my trip? [music] >> Okay, that's it. That's what we're going
10. 2:47to do. So, why is it not loading? What's going on? Come on. Share this tab. Create audio. Record.
11. 3:01You ready, champion? Here we go. [music] That's driving me crazy. That's [clears throat] not it. We're going to start over.
12. 3:17>> [music] >> Woohoo! [music]
13. 3:33[music] Okay, let's listen to that. >> [laughter]
14. 4:04[laughter] >> Thank you for the gift, Robert Rossy. What's happening in Source Camp? Vicki. Vicki in the house. Tom Nodler. Cosmic
15. 4:12lover. We got the It's a party. It is a party. We're back, baby. Share the live if you haven't. We're gonna make a song
16. 4:20out of that horrible thing we just did. We're gonna just randomly We'll have It Write lyrics. Write full song. Uh let's see. um song about
17. 4:37um a washed up has been dog that used to sing in stadiums
18. 4:55but now just sings on Tik Tok. [ __ ] [laughter] [laughter]
19. 5:11[music] There was a time I sold out stadiums. Now I sell myself on TikTok. All the fanfare used to put me in the chair. All
20. 5:24right, we'll do that one. Select that option. All right, there we got lyrics. Now, we're gonna just pick styles from the thing. Piano,
21. 5:32uh, punchy baselines, indie rock, uh, uh, I got to share this tab. Am I sharing that tab? Yeah, I am. Cams and
22. 5:43bars. Cams. Cams. There's cams. Cammy Cam. There's Cam. I know. We haven't even started yet. You're like, what is
23. 5:51he doing? What What application is that? I want to know. Clear and powerful voice create. All right, let's see how bad this song is. [music]
24. 6:13[music] >> [music] [music]
25. 6:31[music] [music] >> Okay. Dog of the year. I like the name. Like the title. [music]
26. 6:45Oo. All the fanfare. They put me in a little chair. Gave me my own ball to chew, my
27. 7:00own t-shirt. [music] And it's cool, I guess. But it's not fair. They still don't know. I'm the dog of the year. I
28. 7:06got my Tik Tok views. My tick tock views. My tick tock [music] views. I guess it's better than no views. No views. I used to sell out.
29. 7:17I used to have real [music] things. Now I'm just watching. I guess [music] this is what happens when you tell everyone that you're
30. 7:29[music] real. Now I'm just watch. [music] I can't believe this is what you tell everyone that you're a dog.
31. 7:39When you tell everyone that you're a dog. >> [music] >> It's so cute. I know it's not their fault. I do. They want [music] me to be
32. 7:52happy, but they don't know I can't be. And it's fine, I guess. But it's not true, cuz dog, I have feelings, too. I
33. 8:00got my Tik Tok views, my Tik Tok views, my Tik Tok views, [music] my Tik Tok views. I guess it's better than no
34. 8:06views. No views. I used to sell [music] videos. I used to real [music] this is what happens when you tell everyone that you're
35. 8:24real [music] now. I guess this is what happened. Will you tell [music] everyone that you're will you tell everyone that you're
36. 8:38[music] I have to laugh. I never meant to go out this bad. Now all I have is my
37. 8:54[music] >> All right, that's pretty. That's a banger. That's a bop, as Anne Murphy would say. We got a bop. Song one, a
38. 9:04bop. All right, let's listen to the other one. Dog of the year.
39. 9:19All the fanfare. [music] They put me in a little chair. Gave me my own ball to chew my own [music] t-shirt. And it's
40. 9:28cool, I guess. But it's not fair. They still [music] don't know. I'm the dog of the year. I got my tick tock views. My
41. 9:35tick tock [music] views. My Tik Tok views. My tick tock views. I guess it's better than no views. No views. [music]
42. 9:46I used to sell out. [music] I used to have real fans. Now I'm just a washed up husband. I guess this is what
43. 9:55happens when you tell everyone [music] that you're a dog. I used to have real fans. Now I'm [music] just watching.
44. 10:04I guess this is what happens [music] when you tell everyone that you're a dog. When you tell everyone that you're a dog.
45. 10:15>> It shouldn't be when you tell everyone you're a dog. It should be when they find out you're a dog. Wait, hang on.
46. 10:21Lotus. It's not fair. Still dug. You got my Tik Tok views. My Tik Tok views. Guess it's better than no. No. These cell stadiums wash up.
47. 10:30I guess this is what happens when they when they find out you're a dog
48. 10:45right now. I'm just washed up has been. I guess that what that's what happens when they all know that you're a dog.
49. 11:04When if you don't know what I'm doing, that's because I'm just doing it all. Know that you're a dog verse
50. 11:16for having can be because dog I have feelings too. Tik Tok views stadiums when you tell everyone to say let me go
51. 11:23copy the line so I don't have to keep typing it. Wait, let's see. when they'll know that your dog was sick. Still dog of the year
52. 11:36when they find out you're a dog. When washed up has been when they Oh crap, I did not just do that.
53. 11:54D. By the way, I'm on SNO right now and I'm I'm using Sunno V5. So, these songs that we just made, I made a little silly idea that it wrote
54. 12:10the lyrics for. Oops, that's not right. When you tell everyone you're a dog, when they find out you're a dog,
55. 12:27copy um Sunno 4.5 um which is really good uh is now free for everyone. So if you have been wondering how do I make cool
56. 12:41songs like that, you can go do it. And by the way, a really cool thing. There was a study that was released this week.
57. 12:50[clears throat] Guess it's better. No views any views. Real fans. Now I'm just Now I'm
58. 13:08just Now I'm just a dog howling at the moon.
59. 13:25the tick tock moon. [laughter] All right, [snorts] so let's let's get our new lyrics in there. Um, if you have not played with suno, get
60. 13:38your ass to suno right now. So, [music] you don't need to play songs either. You can just tell it, make me a song about
61. 13:49whatever, and it'll do it. [music] >> [music]
62. 14:06>> Standing between you and a hard place is insane. standing [singing] too near unifile makes it clear. [singing]
63. 14:27You're trouble to [singing and music] me. >> All right, let's listen to our dog song and then we'll get this show started.
64. 14:44Oh, all the fanfare. They put me in a little t-shirt. >> Wait, hang on. That song sounded really cool. By the way, Tom Nodler, how do I
65. 14:58share a song on LinkedIn? If LinkedIn is like um Twitter and you can't actually upload an audio file, which seriously,
66. 15:08but anyway, that's neither here nor there. Um you have to turn it into a video. So in Sunno, when you say
67. 15:14download, you can download it as a video if you've if you've got a paid account or pro account. Uh, if not, then you can take it into
68. 15:23something like dscript and just put it in as audio and then have it make a lyrics video or Canva probably does. [music]
69. 15:31>> I guess it's not fair. I'm the dog of the year. I got my tick tock. My tick tock. My tick tock. [music] My tick tock.
70. 15:43But I guess it's better than no views. No [music] views. I used to sell stadiums. I used to have real fans.
71. 15:51[music] Now I'm just a washed up hen. I guess this is what happens when they find out you're a dog. I used to [music] have real fans. Now
72. 16:01I'm just a washed up. I guess this is what happens [music] when they all know that you're all [music]
73. 16:18>> That's kind of cool. Ooh, [music] all the fanf fair. They put me in a little chair. [music] Gave me my own
74. 16:27ball to chew my own t-shirt. And it's cool, I guess, but it's [music] not fair. You still don't know I'm the dog
75. 16:34of the year. I got my tick tock views. My tick tock views. My tick tock [music] views. My tick tock views. I guess it's
76. 16:42better than no views. [music] No views. I used to sell out stadiums. [music] I used to [screaming] have real fans. Now
77. 16:55I'm just a washed off. I guess this is what happens when they find out you're a dog. I used to [music] real fast. Now I'm just washed up.
78. 17:09[music] I guess this is what happens when they all know that you're a dog. When they all know that you're a dog. >> Nice. [music]
79. 17:22>> So cute. I know it's not. They want me to be happy, but they don't know I can be. [music] And it's fine, I guess. But it's not
80. 17:32true cuz dog [music] I have this too. I got my tic tac view. [music]
81. 17:46I guess it's better than no [music] view. I [music] used to sell. I used to real [music]
82. 18:04[music] >> Oh, that's good. Silver Fox, fade out. Fade out with a sad long howl. Okay, wait. Let's add that. Let's add that to
83. 18:18the style. Um, [clears throat] let's see. [laughter] That's really good. Fade out with a long sad howl.
84. 18:30That's good. All right. So, we'll do one as a girl, one as a boy. See which one we like. I think I like
85. 18:36the girl ones better. The uh the the the boy ones sound like um what's his name? Rick. Not Rick Ashley. Rick uh
86. 18:49Rick Springfield. I don't know. [clears throat] [laughter] It's just crazy. I can't I honest to God can't believe that we're living in this
87. 19:01present. That is the future. [laughter] This is just bonkers. [laughter] Oh man. Good to see everybody. Um All the fan.
88. 19:17They put me in a little chair. [music] Gave me my own ball to chew. My own t-shirt. And it's cool, I guess. But
89. 19:26it's not fair. They still [music] don't know. I'm the dog of the year. I got my tick tock. My tick tock views. My tick
90. 19:34tock. My tick tock. I guess it's better than no views. [music] No views. Wait, you started talking about the
91. 19:48pseudo study. Oh, >> yes. When when you wrote that before, Brandon, I thought you meant like I should give out study homework, but yes,
92. 19:58I did say that. So, um, so a a paper just came out that they asked people what was human music and what was AI
93. 20:09generated, and it was a 50/50 split. So, it was basically they couldn't tell. And that was with Sunno 3.5. So, Suno 4.5 is
94. 20:19now free. And if you want the MacDaddy latest model, that's version five. That's that's the one you pay for now.
95. 20:24But version 4.5 is free. That study was done with last year's technology and it was a 50-50 split whether people could
96. 20:32tell. So all the people that are like it's soulless it's no it's not. It's not. It's good. And if you put a little
97. 20:40bit of intentionality behind it like I'm doing here like I just had that funny little What was it? [music]
98. 20:55something like that. It just sounded cool. I put it into Sunno song Champion was singing. I wrote it about a dog. And
99. 21:02now we got this cool little bop we're working on. Um Yeah. Crazy. Rico Kasich. Yes, exactly. Doesn't it does Don't some of
100. 21:12these sound like Rick Kasich? >> Listen to the Yeah. The cars. [music] They're so cute. I know it's not their fault I do. They want me to be
101. 21:28happy, but they don't know I can't be. And it's fine, I guess. But it's not true. Cuz [music] I got my tic tac tic tac view.
102. 21:42I guess it's better than [music] >> Yeah, that's good. That's very very What is that? '90s pop.
103. 22:03[music] >> All the fanfare. They put me in a little chair. Gave me my [music] own ball to chew my own
104. 22:12t-shirt. And it's cool, I guess. [music] [singing] >> No.
105. 22:35All the fanfare [music] they put me in a little chair. All right, let's see if this one ends with a how. [music]
106. 22:49>> No views. I used to have real fans. Now I'm just Now I'm just [music] Now I'm just a dog at the moon. The tick tock.
107. 23:06>> No, >> no fade out. [music] All the fan, they put me in a little tear. Gave me my own [music] ball to chew, my own t-shirt.
108. 23:18And it's cool, [singing] I guess, but it's not fair. They still don't know. I'm the dog of [music] the year. I got my tick tock. [music]
109. 23:32Right. There's that. [music] [music]
110. 23:47>> Hey, by the way, thank you. I was going through withdrawals for everyone that is saying how much they missed me. Thank
111. 23:52you very much. I missed you guys, too. It was like, it was nothing personal. It was really just last week all of my
112. 23:58activities were evening. I was either on a plane or at some big shindig. So, so I just I wasn't around. Um, stuff
113. 24:07on the West Coast in the evening just pretty much eats eats this time slot. So, um, so it's good to be back. So, but
114. 24:15I appreciate the kind words from everyone. It's really nice. It's generic Ariana Grande saying, "Boy, I'm
115. 24:21critical. Sorry." That's okay. Well, we're we're not really we're just kind of [ __ ] around right now. So, it shouldn't sound like anything
116. 24:30>> unless you stumble on. Sometimes you stumble on things like that that circus song we did. That voice in that thing was consistently
117. 24:39[music] gave me [music] my own t-shirt. And [singing] it's cool, I guess, but it's [music] not fair. They
118. 24:50still don't know. [singing] I'm the dog of the year. I [music] got my tick tock views. My tick tock views. My tick tock.
119. 25:02My tick tock [music] views. I guess it's better than no views. No views. [music] I used to sell out stadiums. I used to
120. 25:16have real fans. [music] Now I'm just watching. I guess this is what happens when they find out you're a dog.
121. 25:27I used to have [music] real friends. Now I'm just a washed up. I guess I binged on serial murderers all week [laughter] out my window.
122. 25:44You were on the West Coast and didn't tell me. Oh, sorry, Chef Kelly. You know what? Well, I I said I was going to
123. 25:50TEDex, but I decided like three days before that I was going, so I didn't. The the one person that I did connect
124. 25:57with out there was Leah Fon, my co-founder of the uh of the AI salon. Um she and I had a really good breakfast
125. 26:03and I have a ton of ideas from that meeting for the salon. So, I'm [music] really excited. Um I've been using chat GPT to describe
126. 26:12the style of a song and then use that in sunno. Yeah, that's that's a really good way to do it. Um because it's one of the
127. 26:18nice things about that if you just put in like I want it to sound like Annie Lennin, sometimes it won't do it. I
128. 26:23think ethically it's it's also good just not to do it. But if you go to chat GPT and say you know describe the music of
129. 26:30Annie Linux or describe the music of Annie Lennin and I don't know someone else you like uh Nico case and and have
130. 26:37it create a description of it. Put that into that can be really really powerful. >> [music] >> What's the magic button in?
131. 26:54Oh, yeah. The dice button in the in the styles. Let's see. Right here. You just hit the You just hit the uh the uh the magic wand.
132. 27:17>> [music] >> All the fanfare. They put me in a little chair. Gave me my own ball to chew my own t-shirt. And it's [music] cool, I guess.
133. 27:31But it's not fair. They still don't [singing] know I'm the dog of the year. I got my tick [music] tock views. My
134. 27:37tick tock views. [singing] My tick tock views. My tick tock views. I guess it's better than [music] no views. No views. >> I used to sell
135. 27:49[music] I used to have real fans now. >> All right, that's one we could work on. You know what I think was the best one
136. 27:57of them was the first one [laughter] after all that. Oo,
137. 28:12all the fanfare. They put me in a little chair. Gave me my own butter chew, my own t-shirt. [music] And it's cool, I
138. 28:20guess, but it's not fair. They still don't know. I'm the dog of the year. I got my tic tac views. My tick tock
139. 28:27[music] views. My tick tock views. I guess it's better than no views. No views. I used to sell out stadiums. [music]
140. 28:36I used to have real things. Now I'm just watching. I guess this is what happens when you tell everyone that you're a dog.
141. 28:47I [music] used to have real things. Now I'm just watching. I guess this [music] is what happens when you tell
142. 28:55everyone that you're a dog. When you tell everyone that you're a dog, [music] >> it's so cute. I know it's not.
143. 29:10[music] >> All right, that one's cute. All right, give that a thumbs up. Publish it. Dog of the year. Um, I used to be somebody
144. 29:25[laughter] publish. [clears throat] All right. You can go find dog of the year on my channel here. I'll put it in um I'll put it in
145. 29:39AI salon. Let's see. Share. Copy link. Go to AI Salon. AI salon. And then I'm going to go to the community feed. Oh, you know what? We
146. 29:53haven't posted in AI Learning Lab in for [ __ ] ever. Let's put it in there.
147. 30:11the little little bop we made on the live tonight. Okay, so there's that. Let's post that. We'll publish
148. 30:27that. And you know what? We're going to tell the whole [ __ ] community. [laughter] Everybody, everybody needs to hear that
149. 30:35song. So, everyone's been notified. Scroll down just a wee bit. I'm back. [laughter] That's great. All right. Oh, nice. Corey
150. 30:48Sandler. Beautiful. Um, [clears throat] okay. So, let's let's get let's get talking. Let's get talking first about hair. [laughter]
151. 31:04I may have been gone for a week, but I didn't figure out my uh my uh hair management any better than I have in the
152. 31:11past. I think it's just how it is now. Later will say it's AI generated. [music]
153. 31:27[music] It's funny not not hearing this guitar every night for a week. It like it really sounds good tonight to my ear. [music]
154. 31:47[music] [music] in a westerly
155. 32:04car is my train driving. I've [singing] been wondering what it is I'm running from again. [music]
156. 32:18Feel like an 80-y old man holding on to 29. No head on the horizon [singing] is California.
157. 32:33[music] All right, we all want to know about TED AI. Okay, let me tell you about TED AI. Um, I've never been to a TED event.
158. 32:47Um, so I was I was quite enamored with it. It's it's a brand that's been around forever, right? Um, it was a it was a very well prodduced
159. 32:59event, right? I'd have been [laughter] I'd have been I'd have been disappointed if it wasn't a well produced event. Um,
160. 33:09one thing that caught my eye, they had three robots walking around. They they had a a humanoid robot that was like,
161. 33:16you know, 4 410, 411. They're short. And then they had two dog two dog bots, one on wheels and one on legs. Um, and the
162. 33:27thing I noticed about the bot was that like it wasn't a new bot. It was one that had fallen down a lot. Like all of
163. 33:33the chest, all the paint on its chest was all scraped off. So I'm like, that's kind of a low rent bot for Ted. That was
164. 33:40[laughter] that was one of my one of my takeaways was they could have gotten some they could have at least put a coat
165. 33:46of paint on it. [laughter] And they actually gave one of those bots away. They gave one of the dog bots
166. 33:53away. Um which is kind of cool. Um but it was a very well produced event. The I think it was at the Herbert Theater. I
167. 34:01think that's what it was called. Hubert or Herbert Theater. Um which was really beautiful. It's right next to the Capitol in San Francisco.
168. 34:08Um, so before I got going, let me pull up something. Um, let me change how I'm sharing.
169. 34:23Do I have all these things in here? Yeah. Yeah, I do. [snorts] Tom on YouTube. Don't you hate it when your students can't differentiate
170. 34:34between [laughter] the the the Konis medelara and I don't I don't know what words you're saying. [laughter] Okay.
171. 34:48[clears throat] Okay. So, let's see where did I start? started here. Okay.
172. 35:07So, I'm a street photographer. I like taking pictures of, you know, just stuff. And so, I I left my hotel and I was
173. 35:18going to walk to the event to the venue and I saw this picture and then what popped in my head was Grock has
174. 35:27Gro has a new app. If you haven't played with it, just go get the Grock app or you can also go to grock.com.
175. 35:34And three months ago, Grock didn't have a video model and now they do and it's really good and it's really fast. It's
176. 35:42like 15 seconds. And so I took a a second shot from like this one and then Graedia launched an hour ago.
177. 35:55Then I took that shot and I thought, "Oh, wouldn't that be cool to throw that into into Grock and turn that into a video and so
178. 36:14that came out." And so what immediately hit me was so so you may have remembered like a month ago I came up with this idea called the 303
179. 36:28prompt walk which was a combination of a photo walk and an AI lesson and and when I took this one and I and
180. 36:37like like I took the picture and like I I did no editing on the picture and then you literally just upload it into the
181. 36:44Gro app and it immediately renders it into a video. When you upload an image into Grock into the imagine module, it
182. 36:51immediately turns it into a video. So this was the first video that came out. And I was like, [ __ ] this is almost
183. 37:01like a new kind of street photography because it's like for me, street street photography is one of those things where
184. 37:08it's just like I see a moment and it's like I find it beautiful or compelling or interesting and so I try to frame it
185. 37:16up and capture it and now it's and it becomes like this this the memory of that what it felt like and now this is
186. 37:26like warping that memory, right? It didn't feel like this video, but it it's kind of cool, right? >> [laughter]
187. 37:33>> So, so I did a [ __ ] ton of the Well, not a [ __ ] ton, but I did like there's a just a picture of a hotel and then I
188. 37:41turned that into this [laughter] just all the [ __ ] falling off
189. 37:56the building, which I thought was kind of funny. Um, let's see. I did this dude. Is this the video? I took a picture of
190. 38:06him. That turned into a video. I guess I didn't upload that one. Um, I took a picture of this Tesla and had it burst into flames.
191. 38:22Um, I did this all without prompts, not on X. I did it in the Gro app, but you could do it, you could do it at grock.com.
192. 38:30Um, also XAI released Grock Studio along with Google Drive support. Grock Studio allows users to edit documents and
193. 38:39artifacts and execute code. Oh, interesting. Fascinating. Um, and then like here's one I did um at the TED event. Um,
194. 38:50where's the where's the video? This is it. Why is it not running? There we go.
195. 39:06That one I gave a prompt. I said the sign transforms into a humanoid robot with the TED AI logo on it. But I mean,
196. 39:13look at the look at the shadows. So that's the shadows from the photo. And then look at as that thing unfolds.
197. 39:20Watch the shadow on the wall. Like it is remarkably coherent. like like it's following the angles of the shadows.
198. 39:30I find that kind of remarkable and it does the the audio effects. So anyway, so that so I get to the event and I got there
199. 39:42early um and so I had time to kill and I was talking to people, but I was very um like I went into the event very inspired
200. 39:55like like we now live in this world where you can just do stuff, right? like the like the animating that
201. 40:05robot coming out from behind the sign. I could have done that four years ago if I had learned, you know, Da Vinci Resolve
202. 40:14and and 3D modeling programs and rendering and lighting programs and things like I could just do it. So, I was I was struck by the
203. 40:26lack of friction in creative expression and the ability to just invent something. Here is another. This was a fun one. Fun one I did.
204. 40:35Was fun for me. Oops. I'm not sharing anymore, am I? [music] [music] [laughter]
205. 40:53[laughter] I'll just leave that image up there for a while. [cough] >> [laughter] >> That is disturbing. That is disturbing
206. 41:03and all too accurate. All right. So, so I've got all this kind of optimism going in because I just We're living in a in a pretty remarkable
207. 41:13time. I like turtles. It's total I like turtles shot. [laughter] I like blimps. I like derigitles. [laughter]
208. 41:26All right. Let me let me get rid of that. That's I should I shouldn't do that to you all. Makes makes me laugh though. [snorts] Um okay.
209. 41:36[clears throat] So then so then the event starts. Um and I got a good seat. There was I was talking to a couple of
210. 41:41people that were really interesting and they'd been there before. They're like, "Okay, you got to go in. We got to go in
211. 41:46and get, you know, dead center and and things like that." And so we got good seats. Um, and the thing opened up with
212. 41:54a video of an actor who played like all the different stakeholders of AI stuff, you know, the skeptic and the doomer and
213. 42:02the, you know, the maximalist and the minimalist and, you know, all those sort of things. It was pretty it was pretty
214. 42:07well done. Um, [clears throat] and then the the first three talks were were interesting. um they were decently technical
215. 42:18but but they kind of had they they all had sort of a thread of humanity through them and I thought oh this is going this
216. 42:25is pretty promising and you know I got to say my expectations were that the the event would be like a lot of really inspiring stuff
217. 42:34and then as the afternoon went on it just kind of ended up being more of the same and and the the general theme the
218. 42:43the talks were very technical. Like there was a guy that was about to launch um uh the first H100 into space and he's
219. 42:52got this um design of a basically um data centers in space. Um and he showed the economics of why it makes sense to
220. 43:01do that. Um and he's launching it this week. Uh is the first one of those going up. He was cool. Um but it was it was
221. 43:08very much about technology and infrastructure. There were there were talks about you know data centers and
222. 43:14things like that. There were a lot of talks about math and algorithms and the algorithms are going to save us
223. 43:24and like as it's going on I'm like okay but like great like where's the humanity? Like when are we going to
224. 43:32start talking about how this impacts people? And then right around the time I was feeling that, the woman that runs it
225. 43:38goes, well, you know, it's great. Now we're going to get into something a little more creative. We've got a
226. 43:42musician. Like, great. And so this this guy gets up and he starts talking about how he played cello as a kid. I'm like,
227. 43:48cool. Seemed a little geeky to me, but you know, geeks can be musicians. And and he starts talking about math and he
228. 43:56starts talking about algorithms and he starts talking about a project that he did. And it was very much like dry
229. 44:03algorithm kind of slides like one of them I think involved a math formula. [laughter] You know he made a math joke or two
230. 44:16which some people chroled at. Uh I wasn't one of them because uh not so math. [laughter] And then he gets to the music thing he's
231. 44:27doing. I'm like okay great. Here we go. this is going to be good. And you know when I make fun of geeks, he
232. 44:35kind of talked like that. He was very um very precise and he was talking about his his algorithms. And he said, you
233. 44:41know, I thought it might be interesting if you know, you had the the beginning of a song and maybe at the end of a song
234. 44:46and then the algorithm could fill in the middle. And he showed like a MIDI map of notes where like the outsides were what
235. 44:53the person provided and the insides were what the algorithm provided. And that was it. He didn't play a song.
236. 45:03There was no music. There was no music. It was just math. And and so the afternoon continued on like that. And a
237. 45:12lot of the the panels on the next day were the same people kind of talking about the same things but in panel format.
238. 45:20And and what I was struck by, like what I what I I went to the evening party, the little mixer thing with was
239. 45:29what we do here every night and what we do at the AI salon is actually really important. And I I I don't think I quite understood that
240. 45:43in in such relief um as as when I went to to TED or you know the end of that first night. Um the the attitude
241. 45:58the the overall attitude of what they presented was the algorithms will save us. that if we get the algorithms right,
242. 46:08everything's going to be fine. And there was there was nothing there was one panel about future of work and
243. 46:16you know how to how to survive in a how to you know how to keep working in in this kind of new AI environment. But
244. 46:23like there was nothing like how people are using it, how they're changing their lives. Like the stuff we talk about
245. 46:28here, the remarkable things that you can do, the 98.5% of people that are not [ __ ] engineers. Not that I don't I like listen, I love
246. 46:37engineers. All of this [ __ ] we do is because of engineers, but in the end, it's what you do with the technology.
247. 46:44That is the thing that makes the difference. It's the thing that people remember, not the technology itself.
248. 46:51Right? Most people don't know what a transformer is. What they know is that they they saw that video at their
249. 46:57friend, you know, dancing in Central Park, even though his friend was never in Central Park, right? So, so it's it's people using the
250. 47:07technology that ultimately makes the difference. And so that that for me was the the biggest takeaway was well, [ __ ] [laughter]
251. 47:19this is important. This this work that we do here is important. Um, and by when I say work that we do here, I don't mean just me doing this
252. 47:29show or Brandon producing this show. What I mean is all of us showing up like that you show up that you hang out
253. 47:38here on a regular basis that you missed me for a week is not about me. It's about us as a community being in the practice of AI of
254. 47:50understanding what it is. being in the practice. Just doing it. Being in the practice. Being in the practice. And
255. 47:56that that I want to talk about too. Tik Tok comment. I'm lost with what to do um with what I create. Real dilemma, Kyle. So So Corey
256. 48:05Sandler, I'm going to I'm going to talk about that. I The [clears throat] past week's been really good for me. Um
257. 48:13there's some [ __ ] in my life right now is really not good. Other [ __ ] is going pretty good. And then a lot of the stuff
258. 48:20we're doing with the salon I'm very very excited about. I think I have a an answer for you Corey. And [snorts]
259. 48:32I don't have the final answer. [laughter] I think I have I have an approach that is going to become central to everything I do.
260. 48:46So, I hope it addresses what you're talking about [laughter] because if not, this is going to be this is going to be
261. 48:51a big part of it. This is going to be part of my book, the the 10-person team book that I'm writing. This is going to
262. 48:58be a an a critical part of the AI Salon online experience. We're creating AI Salon in-person experiences. We're going
263. 49:05to start designing them in Denver, possibly New York. Um, I've got some exciting announcements coming about
264. 49:12that. It already is this thing that I'm about to talk about part of this channel. Like this channel already is this, but I've never
265. 49:22I've never thought about it like this. [clears throat] And and this idea is not mine. This idea comes from Liz Miller Gersfeld, who's
266. 49:30the new co-host of the salon. So, we've been we've been talking about a lot of things. We've been talking about future of the salon, what it
267. 49:36needs, things like that. And and one of the things that I've been talking about is that I want I want to find
268. 49:45as many as as many people as I can who I consider hi-fi AI, right? So so kind of 70s7s uh audio file terminology, but but who
269. 50:00is someone that's hi-fi AI? Well, they're clearly doing good work, right? So it's people that are doing good work.
270. 50:06Um, and and that's kind of where where I had stopped. It like I was kind of like um like a hi-fi AI person is kind of
271. 50:14like you'll know them when you see them. And there's a lot of them in this community already. And what I want to do is I want to find
272. 50:21those people and I want to celebrate them and I want to amplify them and I want to hold them up as aspirational for
273. 50:28other people in the salon to go, "Oh yeah, I should." Right? And so I had said that to Liz and she went away for a week and then we came
274. 50:36back, we had another meeting and and she came back and she said, "I've been thinking about this idea of of hi-fi AI
275. 50:41people and like what that means." And she said, "I I kind of like the concept, but I I don't quite get it." And she said she said for me
276. 50:53someone starts to enter that category you know part of it's about the work but she goes they they start to enter that
277. 51:00category for me when they treat AI like a practice and the minute she said it like just like that that helmet sort of forming
278. 51:13around my head like like it was like my skull opened up and I just saw this whole thing of like, holy [ __ ] that's it. It's a practice.
279. 51:22And so what we're what we're in the middle of designing right now is a structured, a framework for what is the
280. 51:29AI salon mastermind practice. But to your point, Corey Sandler, um I'd say that I'd say that feels like
281. 51:38me, a practice, a daily practice. Yeah, I'm going to come back in five years. No, don't come back in five years. Start today.
282. 51:45Um, you [clears throat] can come back in five years, [laughter] but AI will have happened to you and that's going to suck. Um,
283. 51:54like I said, Corey, I think you'll like it because I think you already do it right. You do it with your cooking, you
284. 51:59do it with your guitar playing, you do it with your pottery, you do it with your AI work. But as as as Liz was unpacking what she
285. 52:08meant by that, it's it's not just do it daily. like do it daily is is is the the frequency, the cadence, but what you do
286. 52:20daily and and where the commitment lies, that's the thing that we're going to put some structure around. And so, the more
287. 52:26I've been thinking about this, we've already got the structure. And so, let me show it to you.
288. 52:42It's this image. It's the cycle of AI readiness. Play first, create excellence, generously lead.
289. 52:59And so I don't quite know what the components are in it, but if you think about it, imagine if on a daily basis that you did
290. 53:07at least one of these things. Play is what it sounds like. Play. Just go play with tools. Like I just went and played
291. 53:14with Suno and made a song. I learned something new there tonight. Um just like another layer of of knowledge about
292. 53:22what I can do with that thing. Um archetypal on YouTube. Yeah, I agree. I have changed my life so much by just
293. 53:29having these daily Yeah. having these daily lives and using that to set my clock for all my writing and playing.
294. 53:36Exactly. That Yeah. Exactly. And and that's like this channel is a practice, right? I committed to showing up here.
295. 53:44All of you, unbeknownst to me, committed to showing up here. We created this amazing community. We just show up. That
296. 53:50is a practice. Now, the AI learning lab has been a completely unstructured practice, which is fine, right? Like I I
297. 53:58would say having a practice is a really good way to learn. It's a really good way to expand what you do. But without
298. 54:05structure, you kind of it's kind of hit or miss whether you have something going or not. So then if you think about this, play
299. 54:12first is where you learn, right? It's where you learn what's possible. It's not where you learn how to use a tool,
300. 54:20right? That's learning. That might be part of create excellence is get better at a tool. Play is play. Play is
301. 54:27expansive. Play is without expectations. Play is be in the practice of every day play with something that is good at
302. 54:38something you're not good at. What? Imagine if every day you took something, some limiting belief in your head. I'm not very technical.
303. 54:52Perfect. Go do something really technical with AI. Like play like it doesn't matter. If if you go play with AI with something
304. 55:02technical and you fail, great. You've just confirmed that you're not very technical, [laughter] right? Doesn't matter. Just go play. Go
305. 55:11play with something that's not at at your core expertise. Just play play play. And then create excellence starts to
306. 55:20look like imagine having a practice where every day you you might start a new project, but what you might also do
307. 55:27is say, "Hey, I want to take something like my my musical Sydney and I want to advance that. I want to I want to create
308. 55:33a work that that is not just something that I'm willing to share." Because I would argue if if you're in play mode,
309. 55:41you might create something cool and you're like, "Oh, I'm going to share that with the world." You might share
310. 55:45things from play. Here's things I want to share. But in create excellence, that's more about I want to work on a
311. 55:52project that when I get it done, I'm excited to share it, right? And it's going to take some craft. And it might take a little bit of
312. 56:00my Photoshop skills and a little bit of my writing skills and a little bit of my editing skills. and I'm going to have to
313. 56:05maybe duct tape some things together, but I'm going to get to the other side of this thing and it's going to be
314. 56:11something I want to put in the world and I'm really excited to do that. [clears throat] Um, great great news today. My AI film
315. 56:19collab with composer is 2025 official selection for the premiere at the AMC theater. Joy Party. So, so Joy Perty, I
316. 56:28want to talk about my New Mexico thing. I I talked about you in New Mexico. I think you were on in the official
317. 56:36record. Um I talked about this was so funny because you know it it was a testimony for the art and science
318. 56:45committee of the New Mexico legislature and and I just I started getting excited about people. I talked about Jim Ross
319. 56:53and I talked about um about Stacy Stacy Leak with her um education for neurodyivergent people. I talked about
320. 57:01Joy Pretty. I'm like, "This is a woman who's a sleep technician for 30 years and now she's making films and and like
321. 57:07the legislators like ah this is really good." They were loving it. So that was super cool. Um but but Joy Pertie's a
322. 57:16really good example of someone who went and played and in playing discovered that there were these tools that unlocked
323. 57:25something she's wanted to do all of her life. And then in playing with them, she realized if she wanted to create
324. 57:34something excellent, she wasn't there. And she went and she taught herself Da Vinci Resolve. And she taught herself
325. 57:41all these tools. And she taught herself more about editing and shots and writing and all of the things you need to be
326. 57:48able to be a good storyteller with cinema. And and over months, she got better and better and better. And so now her film
327. 57:57was just accepted. She's now a filmmaker, right? She's she's excited to to to end her career as a sleep technician of 30 years and start her
328. 58:07film making career, right? [ __ ] that's powerful. So imagine that was part of your daily practice and then generously
329. 58:16lead starts to look like show up here and don't just lurk, but when someone new comes in, help them out. Like a lot of the one of the
330. 58:25reasons this community is so powerful is when new people come in, whether they're trolls or or scared or just newbies and
331. 58:33afraid everyone's going to make fun of them, is that they reach out and connect with them and say, "It's going to be
332. 58:38okay. Just hang out here. He'll eventually make sense. Just keep coming back." Or go into the AI salon and take
333. 58:45that thing that you created that you're really excited to share and put it in there and and send it to people
334. 58:50individually. play. Post it on LinkedIn. Paste it on Facebook. Oh, when I paste stuff on Facebook, people yell at me.
335. 58:59Let them yell at you. Go put your stuff out there. Imagine as a daily practice, you start to practice establishing yourself as a leader.
336. 59:10You're like, I can't lead. I don't know anything except as Anne Murphy puts it, you're the fifth grader to everyone
337. 59:17else's fourth grader, right? Everyone's trying to figure this out. So if you figured a little bit out
338. 59:25and you put yourself out there and say, "Hey, I figured this little piece out and don't apologize for it. Just put it out there
339. 59:32or or or have the guts to to ask someone else a question." If you don't know something, give them a chance to lead.
340. 59:38Part of generous leadership is is creating space for other people to step into that leadership role. And so what we're going to design for
341. 59:49the AI mastermind for the for the paid area of the AI salon is we're going to design this framework. And the AI
342. 59:57mastermind is where you come to design and execute and talk about your practice. And and this like I said this is going
343. 1:00:07to be in everything I do. This is this is going to be in everything I do. The more I think about this, the more I understand
344. 1:00:16that we can't keep up with the tools anymore. AI is going to be ubiquitous. It's going to be everywhere, right? It's going to
345. 1:00:24be in everything. Just like the internet is everywhere. AI is going to be everywhere. It's going to be in every
346. 1:00:29tool. It's going to be it's just going to be everywhere, right? And so, and and then for the next five years, probably
347. 1:00:3710 years, it's going to keep evolving, right? We're we're in an exponential acceleration of of technological
348. 1:00:44advancement. So we literally don't know what is going to be possible 3 months from now, 6 months from now, a year from
349. 1:00:53now. So the only way the only way to to be a professional in this ever evolving landscape is to just have it be like
350. 1:01:07breathing, right? Kelly Camp does this every day. She like she must be known in Dallas as Oh god, here comes that AI
351. 1:01:15lady. Oh no. Oh no. She's gonna say it again. And Kelly walks up. Hey, have you played with AI [laughter]
352. 1:01:26like a practice like she just does it. She just shows up. She just shows up. She just shows up and then people ask
353. 1:01:34her to come speak and then people there ask her to come demonstrate and then people there hire her. She establishes herself as a leader in a
354. 1:01:44practice of just being being being being and expanding expanding expanding and that's it for me. And then to to your point, Corey, about um
355. 1:01:59you're not sure what you want to do with it. Like I don't know I don't know how that you could I I don't
356. 1:02:08I think the point of the practice is to I mean you know this as an artist, right? The point of the practice is to
357. 1:02:15be in the conversation when inspiration strikes, right? Like that's art. But if you like check out of art, if you
358. 1:02:26check out of throwing pots and right and just being in the practice of it and you haven't done it for six months and then
359. 1:02:34you have this little glimmer of an idea of, oh, wouldn't it be cool if I'd made a pot that had this with this kind of
360. 1:02:39glaze with that kind of he and if you're out of practice, you're like, h, but then I gotta I gotta get out the clay
361. 1:02:45and I got to grind it and I got that's just I can't, right? then that idea dies. I think that's the idea here. Just be in
362. 1:02:57the practice. It literally doesn't matter which of these things three things you're leaning on. I think in the
363. 1:03:02in my fantasy version of this practice, you do at least one of these things every day, right? Imagine if every day
364. 1:03:10you learned something new play you contributed to or or made something you're excited to share or like you know
365. 1:03:18forwarded a bigger project along like let's say you're putting together a feature film you make some progress on
366. 1:03:24that and every day you you share what you're learning you put yourself in the world so uh Tik Tok pin so many people I know use
367. 1:03:34AI as a small tool at work right exactly Professor Crystal, right? Right now, see, here's the thing. Computers historically
368. 1:03:50have been tools and they've been tools of efficiency. You take your work, you put it into you take your work where you used to write
369. 1:04:03down on legal pads numbers and add them up with a calculator and then you put those numbers into a spreadsheet which
370. 1:04:10is like that legal pad and the calculator combined and it adds the numbers for you. Right? It took the work we did and made it more
371. 1:04:18efficient. And you can absolutely use AI like that. But that's not what it is. It is a collaborative entity. It's it's
372. 1:04:30an one of the one of the one of the panels on on day one of of TED AI. Um there [clears throat] was a guy there
373. 1:04:37was talking about AI as kind of an alien intelligence. Um I mean it is an entity. It's and it's an entity that that we get to collaborate
374. 1:04:50with. And computers have never done that. Computers have never been um additive, right? They they've been they
375. 1:05:00they've been they they they've been processors. They'll take our work and they will process our work. Generative
376. 1:05:07AI, the generative part of generative AI is it's generating based on our input some new thing. And so you can use AI in one of two
377. 1:05:20ways. You can use it like a tool, like a vending machine. I put in a prompt, I get out an email. Done. I use AI. I use
378. 1:05:28chat GPT every day. Do you? Or do you just use glorified sentence completion? Right? [laughter] You know, it's glorified spellch check
379. 1:05:41if you use it like that. But if you say, you know, one of the things I've always hated at this company is that our emails all
380. 1:05:53sound like they come out of some corporate [ __ ] email book. And and our company's got more personality than that. I kind of have a
381. 1:06:02vision that our emails should be something more captivating and more interesting. All of a sudden, in that moment, you you
382. 1:06:13flip AI from a tool that you use to do what you've always done to a collaborative partner where you could explain to AI, here's
383. 1:06:23what we currently do, here's our current email, here's our requirements because we're in a regulated industry,
384. 1:06:30but one of the things we always talk about is how human we are. And so, dear Chat GBT, based on all that, could you
385. 1:06:38help me make an email that doesn't [ __ ] up our compliance, but sounds more human? And all of a sudden, it is
386. 1:06:46[clears throat] a very different kind of interaction. It's not just about efficiency. It's about invention. It's about taking an
387. 1:06:54idea and amplifying it in collaboration with that human, right? and their idea of we should be able to do this a better way,
388. 1:07:05a different way is is really powerful. [snorts] I spent this whole year almost daily writing about 5 to 10,000 words
389. 1:07:13with AI assist. I've gotten pretty damned good at collaborating in the directions um I intend writing and proving constantly.
390. 1:07:23Yeah. the like the the the the fantasy of the doomers is that if AI writes for you, you're going to get less creative. You're going
391. 1:07:32to be a worse writer. What they're missing is that the people that are doing like what archetypal just talked about are
392. 1:07:45not treating it like a vending machine. They're treating it like, "Hey, I want to get better at my writing, so I'm
393. 1:07:51gonna use this awesome writing tool, right? Where I get to steer it, and it takes my ideas and it amplifies them.
394. 1:08:02It's it's it's such a fundamentally different thing like like to your point, what I find is when I truly engage with AI in this kind of
395. 1:08:14um collaborative generous kind of way where it's like I'm going to take what it gives me and I'm going to look at it critically
396. 1:08:25and I'm going to say, "Oh, some of these ideas are good. I'm going to add those into my idea set. Some of them are bad.
397. 1:08:30I'm going to throw them away. Then I'm going to take this new little gobbledygook and put that back in." That's [clears throat] a completely
398. 1:08:37different way of working. And so the practice is about doing that like it's survival,
399. 1:08:52like it's, you know, you want to get yourself. You want to get yourself to the next level spiritually, you meditate, you
400. 1:09:01pray, you do whatever you do. You want to get yourself to the next layer financially, you set a goal, you take
401. 1:09:07action, you go to it. You want to get really good at AI. You want to get really good at understanding what it is,
402. 1:09:12what it makes possible, how it amplifies you, there's not a book you can read. There will not be a book you can read. I'm
403. 1:09:20writing a book. My book will give you teeny teeny piece of it. I think at this point though, I'm going to have
404. 1:09:26something in there about AI as a practice. Probably going to be the last chapter. The only way you can do it is to do it
405. 1:09:35for yourself, right? You can read a book on meditation, but it's not until you internalize what that's actually
406. 1:09:46where the value is for you that you know how to even meditate. It's the same with AI. If you don't know what to do, if you
407. 1:09:54don't know how to do it, if you don't if you're don't even know where to begin, just play. And then when you're playing, you'll
408. 1:10:02have an idea. Then go create. And as you're learning and creating, tell people about it. Put yourself in the world. Establish yourself as a
409. 1:10:12thoughtful, creative, inventive, professional human being. Like a practice every day. Every day. Every day. You guys show up here every
410. 1:10:24day. Except last week. Nobody [ __ ] showed up. That's not on me. [laughter] Pete M's in the house. Pete M shows up here day after day after
411. 1:10:39day. He doesn't have to do that. There's something about this community. There's something about showing up in this regular way
412. 1:10:53that will serve you. Um, so anyway, so that was Ted. That was my That was like my big takeaway there was it just it reinforced the power of
413. 1:11:15exploring how to use these remarkable technologies, right? Let's let them develop the technologies. It's up to us
414. 1:11:24to figure out how to use them. Sam Alman talks about that all the time. Um I have another insight that I that I'll share.
415. 1:11:34So in the mid 90s when I was doing the web stuff um there was a similar thing happening in San Francisco
416. 1:11:45is that is happening now where where it was very techheavy. So, so in the early days of the web, um, the West Coast was
417. 1:11:53very much about building the technology, right? It was building browsers. It was building the next spec of HTML. It was
418. 1:12:00building macromedia flash and building building all of the technology. I was not part of that world. I was part
419. 1:12:09of the world in New York City where the the web community, the tech community in New York was a really small concentrated
420. 1:12:16group, but it was a very noisy group. Um there were a lot of really interesting companies that that were sort of
421. 1:12:25emerging out of New York. And the difference was New York wasn't where the technology was being invented, but New
422. 1:12:32York was where the media was, where the content was, the publishers and the advertising agencies, right, and the
423. 1:12:40[laughter] the writers, right, for the, you know, for the for the New York press. Um, and so we were we were very
424. 1:12:50much innovating, but it was more like we were innovating storytelling and how to connect with people where the West Coast
425. 1:12:57was innovating with how you deliver the things faster and more efficiently over these shitty dialup modems that we had.
426. 1:13:04There was this counterveilling force in New York that that was everybody. It was it was almost like a competition. They
427. 1:13:11were like, "Well, it's more about the technology." We were like, "No, it's more about the content." It was this back and forth thing
428. 1:13:17that voice is missing right now in in AI. It's it's all about the algorithms like the the there's something about
429. 1:13:26when you invest you know a hundred billion dollars into a single company um that's going to get a lot of attention.
430. 1:13:33So all the attention right now is being focused on the scientists and the engineers and and the the algorithms
431. 1:13:41and there's not as much being focused on the other 98.5% of people doing something with this technology right and
432. 1:13:49part of that might be because there's not a center of gravity and I think we have an opportunity if we do it right to
433. 1:13:55do that but we kind of have to declare it and claim it. So um so there's that. So anyways, that was that was Ted. [sighs and gasps]
434. 1:14:09Hey, Paint M. I haven't seen you in a while. I got to tell you, um, for as much [ __ ] as I gave Google for for a
435. 1:14:17year and a half or two years, um, for just having their heads up their butts when it came to this AI stuff after
436. 1:14:24having invented it. Um, holy [ __ ] Have [clears throat] has Google gotten it together? Like the the the work coming
437. 1:14:32out of Google and like the the revamp of um of AI Studio, the the developer portal for Google as a more kind of consumerfriendly um
438. 1:14:46portal is um I I find it really impressive, really impressive and really good. Um, it I'll tell you what it says to me.
439. 1:14:58What it says to me is Google is acutely aware that the next 100 million developers are not going to come from computer science schools.
440. 1:15:10They're going to be other people. They're going to be a net 100 million developers. And I feel like Google right
441. 1:15:17now is recognizing that they kind of have, you know, these these distinct audiences. And it used to just be if
442. 1:15:24you're not an engineer, go [ __ ] yourself, right? There's there's search and then there's stuff for engineers.
443. 1:15:29And there was kind of nothing in the middle. And now you've you've still got search and you've got the stuff for engineers.
444. 1:15:36Like you'll always have that. That's your legacy. But you you now have these kind of two things where you've got AI studio
445. 1:15:44um and then you've got you know Gemini.goole and you've got labs but I think labs is a bit off in the distance
446. 1:15:50but like those two things as primary interfaces are for this kind of middle ground where you've got techsavvy people using vibe
447. 1:15:58coding and and using vibe coding as an on-ramp to become developers. That's the next 100 million developers. So anyway
448. 1:16:06um I haven't seen you in a while. It was just a matter of time. Not as simp not as simple as a startup, but we aren't
449. 1:16:11dumb. Yeah, exactly. No, it's it's really good. Well, I mean, listen, you can you can be smart and [ __ ] miss
450. 1:16:17the boat, Apple, right? I mean, I mean, Apple's got to be full of some of the smartest people on the planet.
451. 1:16:25And for whatever reason, you know, they they have just missed the boat and like continue to miss it. They're just like
452. 1:16:32they're out on a [ __ ] I I don't even know what's going on. Um, but Google Google has turned it, so it's pretty
453. 1:16:38impressive. Oh, and then the quantum computing thing and then skills.g Google. Yeah, there's there's a bunch of
454. 1:16:42stuff going on at Google right now. That's like pretty [ __ ] pretty [ __ ] powerful. All right, English
455. 1:16:48degrees rule now. Absolutely agree with that. Um, it's funny. People ask me, you know, what should my kids study in
456. 1:16:54school? And my answer is is not a joking. I a thing to have them study is philosophy. >> [laughter] >> Why is that? It's a large language
457. 1:17:06model. Understand how language works. Um that's the that's the gateway. Did you see that anthropic deal using a million
458. 1:17:14TPUs or so? I did not. Oh, that's very cool. Very very cool. Um, producer Brandon reminded me that when I
459. 1:17:28just said that that quantum computing thing, I said it like assuming people would know what the [ __ ] I'm talking
460. 1:17:35about. It's a good point. Um [clears throat] so [snorts] I don't know a year year or ago um Google sort of breaks the records with
461. 1:17:48the number of cubits in a quantum computer and then 6 months or so ago they come out with this willow chip that
462. 1:17:56has basically solved correction or or errors in quantum computing or I don't know if it solved it but it dramatically
463. 1:18:02improved error handling or error um errors. There are less of them now. Um and then this past week while while I was out at at TED
464. 1:18:14um and Pate, catch me up on this. So So you were one of the one Wait, yeah, they're getting more and more big TPU
465. 1:18:21customers, which is basically his whole job. Yeah. So Pate Mo's job is to make the TPUs more and more efficient for I I
466. 1:18:31I think for both training and inference, right? It's for both. Um, and uh, so that's really good because I it like like
467. 1:18:40the world needs more than just Nvidia. [laughter] So I'm glad that Apple's doing their chips now. I'm glad that
468. 1:18:46TPUs are being recognized. [snorts] Um, anyway, the the quantum computing thing. So So what Google cracked this week,
469. 1:18:56so when Google first started talking about quantum stuff, I was like, "Oh, this is great. This is going to be
470. 1:19:01really good for AI." And Pate was the one that pointed out to me, uh, Kyle, yeah, it's a math thing. Um, the math
471. 1:19:09that they do on quantum computers is not the same math that they do for AI, and they're different worlds. I was like,
472. 1:19:15oh, right. Okay. So, I educated myself a little bit about that. What they cracked this past week is is I don't I don't
473. 1:19:23know if it's a kind of emulator or some sort of math bridge, but they basically got a quantum computer to do the kind of
474. 1:19:30math that can be used for AI and and it did something, you know, in whatever 20 minutes that would have taken 13,000
475. 1:19:38hours with supercomputers or some [ __ ] like that. Um, so, so the the advancements in quantum now appear to
476. 1:19:47have a bridge to to the world of of stuff that we know. It's not just going to be relegated to, you know, high-end
477. 1:19:54physics, astrophysics, and things like that. Um, it's still going to be used for that, but but I think it opens it up
478. 1:20:01to a whole new kind of world. So, I don't know if you know anything about that, Pete. But [snorts] TPUs are are both for training and
479. 1:20:09inference, but you're doing an emphasis on inference, which is good. I think that's smart. Why philosophy on deck? Why philosophy?
480. 1:20:18Oh, why philosophy as as something to study? Um, hang on a sec. I got a I got kind of a a cold on uh Thursday and I'm it's still
481. 1:20:28there, so it's drying me out. Um, [snorts] understanding
482. 1:20:42understanding [cough and clears throat] arguments and language and framing and different worldviews. When you when you have a a large
483. 1:20:54language model that's been trained on kind of all of the disciplines, the more exposure to you have to how
484. 1:21:02people think and how they interact and how they frame up arguments and how they how they think about the world
485. 1:21:10um is going to serve you as you start to learn prompting. Right? So, one of the one of the things as as you start to
486. 1:21:16play with AI and practice it, one of the things I notice is that I've got a fairly lazy I have a decent vocabulary and I have a
487. 1:21:30passion for words and writing, but I have a fairly myopic training. Like, I have a fairly limited training.
488. 1:21:40you know, it tends to be around theater and storytelling and things like that, but it's not like I understand all of the different kinds
489. 1:21:49of storytelling there there are. And I don't, you know, I don't understand, you know, approaching the world from a
490. 1:21:55financial lens or from a humanitarian lens or from a socialist lens. All the different lenses, all the different ways
491. 1:22:01of looking at the world expand how you can think about the prompts that you put in. Like the quality of the
492. 1:22:10answers you get out of AI are a direct result of the quality of the questions that you ask. That's philosophy, right?
493. 1:22:20Ask better questions, get better answers, right? And so philosophy is is the art of asking questions, right? It's the art of inquiry.
494. 1:22:29um and and doing that in an you know in an educated in a rounded way. And so um because I think a lot of the the the technical stuff um
495. 1:22:42you're not going to have to learn. You may choose to learn it, right? There there are places that having that
496. 1:22:49technical underpinning are going to be incredibly powerful, but you're not going to have to. That's going to be a choice, right?
497. 1:22:56Just like when when film came out, we didn't need plays anymore. We didn't need the theater anymore. You can choose
498. 1:23:03to make a play, but you don't have to. We got films now. We got TV. We got YouTube. We got Tik Tok lives. You
499. 1:23:10[laughter] know, you don't need the theater. But, you know, boneheads like me say, "You know what' be good right here? A
500. 1:23:18musical. Let's do a musical. [laughter] Oh man. [clears throat and cough] All right.
501. 1:23:32Decent vocabulary. Kyle the humble bee. I Well, I I mean I know I got some good words. [laughter] I remember
502. 1:23:45I remember I was standing in line in high school once and one of the jocks was behind me and he was holding the
503. 1:23:53basketball and I I said something like can you put your hand around the circumference of the ball [laughter]
504. 1:24:02and he goes, "You mean can I can I palm it?" [laughter] Like he was like, "Why would you use that word?" And it was like it's just
505. 1:24:11one of those moments where I realized, oh yeah, I guess I guess I guess I guess I'm using I gota I got to learn my
506. 1:24:19audience a bit better. [laughter] Oh man. Um Okay. Um, so, so then I went to on Friday I got invited to speak
507. 1:24:36at the New Mexico um, Science and Technology Committee for the New Mexico Legislature. So, there were senators and
508. 1:24:44and Congress people on this committee. [snorts] Um, it was a it was just a a small venue. It was in Los Cusus, New
509. 1:24:53Mexico, which is just outside of El Paso, Texas. It's right on the border in the south of New Mexico, very rural, very um
510. 1:25:03not the bastion of of of AI. And so I was a little bit nervous about that. And then so we got there and
511. 1:25:14the first group that pres we presented at 10:00. There was another group that presented at 9:00. And then there were
512. 1:25:19two days previous of this. There were two days of testimony. And so this was this this committee's third day of listening to
513. 1:25:29testimony, which is absolutely remarkable that because they actually paid attention. Like I've been in some
514. 1:25:35of those rooms before and they're just like all checking their email and eating sandwiches and talking to each other.
515. 1:25:40They're actually listening and paying attention. The first group that went, [clears throat] it was like an hour long. Like like
516. 1:25:51if you wanted to just say, "Here's all the evil [ __ ] that AI can do. Let's go find an article that was written about
517. 1:25:59every one of them and we'll screenshot it and then we'll talk for for two minutes on each one of those." It was
518. 1:26:07just like, you know, it's not secure and it's it and it it's not fair and it helps people do bad things to
519. 1:26:16themselves. And it was just like an hour of like, you've got to write laws. You've got to write laws. You've got to
520. 1:26:20write laws, you know, because it it's bad and it's evil and it's bad and it's evil. And the legislators are all going
521. 1:26:26like, "Yeah, we we legislation. We got bills for that. Ah, it's good. Yeah. Yeah. We got to protect the people. Got to protect the people."
522. 1:26:34[laughter] And I'm sitting there thinking like, I'm not going to say that at all. [laughter] [gasps] Uh then our group got up and we
523. 1:26:43had one one of our guys was a lawyer. um who sort of knows the law of this stuff and he talked a lot about, you know,
524. 1:26:50here's what's going on with the law. The next guy beside me was a was a policy wonk, policy geek, um and and said,
525. 1:26:58"Here's all the different pieces of legislation and and you know why you should pay attention to them and here's
526. 1:27:03the stance we think you should take." Um, and then it came to me [laughter] and I and I said I said, you know, a
527. 1:27:14long time ago I was in a position to um to experience the power of a transformative technology. And I told
528. 1:27:24this story about publishing um my my online magazine, Urban Desires, in 1994. And so I started out and I said
529. 1:27:33and and I realized it was the same date in 1994, November 30th, 1994. So I started the thing out. I said on November 30th in 1994,
530. 1:27:46I took some HTML files that I had created in my apartment in Brooklyn, Brooklyn, and I uploaded them to this
531. 1:27:52computer in California. And that actually got chuckles for some reason. I don't know why it did, but it did.
532. 1:28:00And I said, 'What was in those HTML files was the first issue of Urban Desires, which was one of the earliest
533. 1:28:06online magazines. It was an art and culture magazine. And I said, three weeks after I upload these files to this
534. 1:28:11computer in California, I get an email from a friend that says Urban Desires has been written about in Paris in
535. 1:28:18Liberat, the Parisian News Daily. And I knew in that moment that the world had changed, that communication was instant,
536. 1:28:26and that right. And I was getting all these nods from from the committee. They're like, "Oh, oh, yeah, yeah, that's good."
537. 1:28:34And I said I said, you know, that was the same time I co I co-founded agency.com and, you know, built a lot of
538. 1:28:40the websites for the for British Airways and Coca-Cola and Nike and things like that. And I said, and I say this not to boast,
539. 1:28:49but but to establish that I'm intimately aware of the opportunity that new technologies can provide to to
540. 1:28:58individual people and entrepreneurs. And I was getting a lot of nods and I said, "And I'm also intimately aware of how
541. 1:29:05fragile that opportunity is." And that kind of settled them down. They're like, "Oh." And then I and then I talked about flash
542. 1:29:14forward to November 30th, 2022 and chatgpt comes out and I realized, you know, chat GPT does for AI and machine
543. 1:29:23learning what the worldwide web did for the internet. It makes it accessible. It democratizes it. I was getting nods
544. 1:29:29again. Um and um and then I talked about starting the AI salon. I said the first thing I did the first thing I did was I
545. 1:29:38started this thing called the AI salon. and I talked about what it is and how we stand on policy and say we're not anti-
546. 1:29:44AI policy. We we want policy, but we want you to be educated. One of the one of the amazing things about this hearing
547. 1:29:52was that they were having the hearing before they had legislation on the docket. They didn't this was not A lot
548. 1:30:00of times what happens in politics is the lobbyists get in there and they say, "Go write these laws." the the politicians
549. 1:30:06write those laws or have the lobbyists write them and then they hold these hearings that are [ __ ] that are just
550. 1:30:14like come tell us what you think and then we're going to pass what we're going to pass anyway. This wasn't that.
551. 1:30:18This was actually this committee wanting to be educated which was really cool. So I acknowledged them for that. I said this is like you
552. 1:30:27know that we have the opportunity to do this with no you know actual legislation that is you know that this is related to
553. 1:30:34is is is really powerful. So thank you for that. And then I talked about some people in the salon. I talked about Joy
554. 1:30:41Perie and I talked about Stacy and I talked about Jim Ross and I think I talked about one other and I was just
555. 1:30:47talking about I get to witness every day people transforming their lives, people coming out of retirement.
556. 1:30:55people excited to retire so they can start their next career. And as I'm saying this, like they're taking notes
557. 1:31:02and they're they were super excited and and uh and then I talked about the Colorado bill and why it was such a
558. 1:31:09train wreck. Um and it's been talked about a lot, so I didn't I didn't, you know, break any new ground there, but
559. 1:31:15but I did tell the story of the last the the first time I went to Washington DC for a flyin. I [snorts] was talking
560. 1:31:21about the Colorado bill with this woman on [clears throat] the plane and she was going to Washington to do some lobbying
561. 1:31:27or whatever the hell she was doing. We were talking about the bill and I said, "Oh, by the way, like you know
562. 1:31:34[clears throat] what are you guys doing with AI?" And she said, "Oh, I've canled all of our AI initiatives."
563. 1:31:40I'm like, "Why?" And she goes, "Well, because of that bill." because when that goes into effect, if that bill is law as
564. 1:31:47it's written, it'll put me out of business. And so, she just stopped her her AI initiatives. And that like that
565. 1:31:54put a chill in the room. Like people were like their eyes were wide. They were like taking notes. Um and then, you know, and
566. 1:32:02then I basically just said, you know, have small businesses at the table, like, you know, invite small businesses
567. 1:32:07to at the table and and uh and and play. I I this the the the this graphic that graphic um was was a big part of my
568. 1:32:22deck. I talked about the AI salon. I said I said we've got this this mission at the AI salon. We we practice the
569. 1:32:30cycle of AI readiness. And I talked about playing first. I said what that looks like is play. Go play. Just play play. Um
570. 1:32:39and [snorts] um and by the end [laughter] they were like, "We got to go play." Um they were super enthused
571. 1:32:47because I think I think what they've been hearing is AI's evil. AI's going to kill us. Protect us from the evil AI.
572. 1:32:57And so when I got in there and said, I'm I'm experiencing people's lives being changed. Like when you're legislating,
573. 1:33:04don't just legislate from a place of fear. And then one of them said, "We should also legislate from a place of
574. 1:33:10hope." And I said, "Yes, exactly." You know, protect our access to these tools for the opportunity as much as you are
575. 1:33:18protecting us from the risk of it. I don't mind you protecting us from the risk, but be educated. Don't just paint
576. 1:33:25with a broad brush stroke and not understand what the hell you're doing. Really understand this other side of it
577. 1:33:30and then and legislate and balance. So that was it. And it was I got we got really good feedback um for that
578. 1:33:35message. Um and uh [clears throat] if it felt good like it felt like during the course of my talk the tone in
579. 1:33:47the room actually shifted and that that feels that feels really good feels really powerful. So anyway all right
580. 1:34:08Ah crap. Sorry to hear that, Joker. [clears throat] That sucks, my friend. I know you'll research the [ __ ] out of it.
581. 1:34:23So awesome, Kyle. Carry that baton. Yeah, man. Like like again you know it's it's so funny how these things come together like
582. 1:34:34like I was fully expecting to come out of TED AI inspired by the stuff people were doing and I came out inspired that what we're
583. 1:34:50doing is really important. Right? It was a counterintuitive inspiration. And then had [clears throat] I not had
584. 1:34:58that experience, I would have put a very different emphasis on what I talked about in the New Mexico thing.
585. 1:35:06Um, but it gave me a kind of courage in a in a very formal setting to not present like formal policy ideas and [ __ ] I'm not a policy
586. 1:35:22guy. I'm not a politics guy. I hate it. I'm really cynical about it, but I know that it I know that it can
587. 1:35:30make a difference and I know that it's important. And so, yeah. So, so that and then and then all of that just you know realizing that
588. 1:35:41that this idea of of we're shifting from learning the tools of AI to just recognizing that it's going to be
589. 1:35:53everywhere and just have it be part of our daily practice. That to me feels like something we can talk about for the
590. 1:36:01next decade and not exhaust it. Joker. Hey, I quit smoking. Good for you, buddy. [laughter] [laughter]
591. 1:36:17Oh [snorts] my god, that's hilarious. I mean, it's not hilarious. I'm glad you quit smoking. [laughter]
592. 1:36:22Oh man. Okay, let's see. Um, some other things. If you don't know, um, OpenAI launched a new browser called Atlas. If
593. 1:36:30you're on a Mac, you can go play with it. I downloaded it. I launched it and like I've done with every other AI
594. 1:36:37browser, I stare at it and I get overwhelmed with what could I ask an autonomous agent to do and my head
595. 1:36:45starts to hurt and I break into a flop sweat because of how uninspired I am and then I close the browser. [laughter] >> [laughter]
596. 1:36:58>> um Sora 2 and um uh is coming to Android soon. Um another thing that happened in in OpenAI is they improved the memory.
597. 1:37:10So it won't you won't get those memory full messages anymore. It's dynamically culling your memory based on what you do.
598. 1:37:18Um, one of the other things that that happened with OpenAI, they did another post about it today, but two weeks ago, um,
599. 1:37:28what got the headlines was, you're going to be able to do adult content with Chat GPT soon. You're going to be able to
600. 1:37:36choose, do you want it to treat you like an adult or like a kid? Um, what was buried underneath that headline was why
601. 1:37:45they're confident to do that. which is they added a new model for for mental health safety that if a convers conversation starts
602. 1:37:56going in a direction of being dangerous, you know, to the person talking or others, it it takes it to a specialized
603. 1:38:03model um to deal with that. And then and so because of that, they're going to open up they're going to open up this
604. 1:38:11lens to be a bit more. And then they talked about something today like I think they've improved that model or
605. 1:38:15they've done something with that model. But but that's actually kind of exciting to me because one of the challenges was
606. 1:38:21like people don't want all these guard rails on their AI, but at the same time if people are getting hurt that's bad.
607. 1:38:27And so the fact that they're starting to get some nuance and understand um hey something is going south here.
608. 1:38:34Let's have a model that just deals with that pretty pretty smart. Um, wow. I didn't I didn't know that. Um,
609. 1:38:49producer Brandon just said a million people a week on chat GBT talk about uh unaliving themselves, that's a lot,
610. 1:38:57right? And so if they've got something that can handle that, um, or I don't even know if it handles it, but it I
611. 1:39:03think it just takes the acute situation has a different set of rules for it, which probably involve like get your ass
612. 1:39:09to an emergency room or or whatever it might be. Um, but that's pretty good. Um, what else is going on? Um, Microsoft
613. 1:39:18has completely rebooted um, C-Pilot. Apparently, they're claiming it doesn't suck now. I haven't used it because it sucked. >> [laughter]
614. 1:39:28>> and it was really hard to get to and it was really bad. And then they added this new thing that's like a little character called Mo ICO.
615. 1:39:38Um, and if you keep tapping on Mo, he will turn into Clippy. So, you can get you can get an AI powered Clippy now if you so if you so
616. 1:39:48want if you're nostalgic for the Clippy. [snorts and clears throat] Yeah, exactly. Yeah. Yeah, chat GPT
617. 1:39:56sends you to a different model. Yep. If you sound like you're you're having a a crisis. Yep. Absolutely.
618. 1:40:02Um and then the the other thing that um I I called it here first is uh Lovable um added Shopify. So you can now add um
619. 1:40:14ecommerce elements to your Lovable sites that you build. Um that that wasn't there before and they've added it. So So
620. 1:40:21there you have it. All right, that's it. What time is it? It is time. Yeah. Look at that. It's like I've done this before. [laughter]
621. 1:40:36Oh man. Yeah. Beautiful, beautiful, beautiful. Um,
622. 1:40:50thank you everybody for the really kind words. Um, I missed you all too. Um, yeah. This is It's funny. I've been doing this long
623. 1:41:04enough that there's there's some nights I'm like, "Wait, why am I doing this?" And I'm sure there's some nights you
624. 1:41:10watch it and you're like, "Wait, why do I keep watching this?" [snorts] Um, but just my instinct has been just keep
625. 1:41:19showing up. Just keep showing up. Just keep showing up. And so I think I finally I think I finally have some vision around how
626. 1:41:27that's going going to evolve and uh and I'm really excited about it. I'm really excited about what we can do
627. 1:41:35in the salon. I I really want to increase the engagement in the salon. I think a lot of that for me looks like me
628. 1:41:43showing up in the salon more than I do. Um just again as a practice, right? Um because I because I think it's easy
629. 1:41:53to fall out of the practice and and when you do it's it's it's not that bad things happen like life goes on. It
630. 1:41:59doesn't [ __ ] matter. But if you want to be in this game, if you want to be a professional and if you want to be
631. 1:42:05if you want to be someone that when someone has a challenge, you can go, "Oh, I know how to do that. [laughter] I know how to solve that."
632. 1:42:14Like you have to you have to be kind of on a different level. And it's you don't have to be more technical. You don't
633. 1:42:20have to be more talented. I just think you need to put in the time. And so and I think if we do that in a structured
634. 1:42:27way in a framework with some clarity that members of the salon could really be powerful powerful voice in this world.
635. 1:42:37So that I'm excited about. [sighs] [clears throat] Yeah. ask AI to how to add 10 hours to each day. Like that that statement right
636. 1:42:49there, Professor Crystal or Prof. Crystal or Crystal the professor, whatever you are. Um [clears throat] like that could be that could be a
637. 1:43:00practice that you could do for the next six months is every day just do something in play, create, and lead.
638. 1:43:07It's about finding ways to to give yourself 10 hours more. 10 hours more what? I don't know. 10 hours more play,
639. 1:43:1710 hours more family time, 10 hours, you know, you know, work 10 hours less, but get 10 hours more productivity out of it. Like
640. 1:43:27whatever it might be, just really explore that. That could be six months. Oh, retired CU professor. Awesome. Perfect. Love it.
641. 1:43:38Time is a human constraint. Yeah, exactly. And you need some money to to to buy the use of the tools, though. Although,
642. 1:43:45Corey, I got to tell you, the uh culinary uniforms, the the um the free tools at this point, like the fact that
643. 1:43:53you've got Sunno for free. I mean, some of the movie generating tools are kind of [ __ ] up, but but uh because they're
644. 1:44:00really expensive. But there's enough open- source ones now that that I think if you really wanted to do a bunch of
645. 1:44:06video stuff and didn't have money, you could probably spin up a 30 buck a month um [clears throat] Google Collab like a like a virtual
646. 1:44:17machine instance and run some some video tools on it and probably get some decent some decent video out of it that way. Um
647. 1:44:26this is one of the things that I'm I'm looking to do right now. So, so for anyone that's in Denver, um we're going to officially announce
648. 1:44:37this the first week of December, but the AI salon is partnering up with a local um uh AI space, like a physical space
649. 1:44:48here in Denver in the Rhino Rhino district where I work. That's really it's just really amazing place. And I'm
650. 1:44:55going to start designing what this AI practice looks like in person because I think that's part of it. I think part of why this channel is
651. 1:45:07for me as powerful as it is is because we've developed a bunch of trust and shorthand and relationships amongst the group that shows up here
652. 1:45:18regularly, the irregulars. um that I think it you can't replicate that on your own like even if you can get all the tasks
653. 1:45:32done of 20 people there's something different about experiencing it with other people and and you know going
654. 1:45:40through [ __ ] with them and so I think doing that important in in person goes up in importance so we're going to have
655. 1:45:46a lot a lot we're going to be announcing in the next month about that space as well And then what we design here in
656. 1:45:52Denver is going to become the model for different cities. So um so I'm super excited about it. So anyway, all right.
657. 1:46:00Um so we will have an office in Denver to come to. Yes, we will. It's it's called if you want to see the I don't
658. 1:46:07think you can see the space. Wait, I can show you the space. Yes, I can. I the technology. [clears throat] Um yeah. Okay.
659. 1:46:28So, [clears throat] so this is a space. It's called ID345 or ideas if you're clever and you know how to do number and letter
660. 1:46:37substitution. Um, ID345 is is the space and it's like this big old ex like automotive repair center. Um, and Danny Newman's the guy that put
661. 1:46:51it together and he's a a restaurant tour and a a tech developer and things like that and he's got all sorts of visions
662. 1:46:57for it. But it's got all these different seating areas. Um, [snorts] and you know, like old typewriters and
663. 1:47:05um, there's like the space up there with the that's there's a second level and like little offices down there. There's a big kitchen,
664. 1:47:15you know. Here's one of the spaces with just old TVs in it, [ __ ] like that. There's another really cool space.
665. 1:47:20There's a big sort of theater area where you can demo stuff. They just put a sound system in it. And then there's all
666. 1:47:26these like, you know, privacy booths and server racks and [ __ ] like that. And there's all sorts of ideas for that and
667. 1:47:33a big old conference room table. So, it's just this really cool space. So, this is going to be the official home of the AI salon in Denver.
668. 1:47:46And and what I'm trying to like the when I walked into this space, what I loved the most about it is the lack of how
669. 1:47:54techy it like it's it's kind of an anti-te space, right? Where will you park the 70? Yeah, exactly. Oh, the 70s resto mod. Yeah, I
670. 1:48:06got to get a 70s resto mod and put it out front. That's huge. Yeah, isn't it? Yeah, I'm I'm really excited about this.
671. 1:48:13So, like it's just got this analog vibe to it, but it's going to be highly technical and like some of the smartest
672. 1:48:22AI minds are going to be in here. And some of the ideas that we have for what we're going to do in the space are just
673. 1:48:27cool. And then and then what I want to do is I want to be able to kind of replicate this idea like when we when we
674. 1:48:34create homes for the AI salon in different cities, I want them to have a vibe, right? I want them to feel like
675. 1:48:42that's where I hang out. Like if you were going to do an AI practice, this is a place you'd want to come do it every
676. 1:48:49day, right? Let me know when you want to do one in California. Beautiful. Love it. Can a regular come and visit every now and then?
677. 1:49:00Yes, of course. [laughter] A regular and irregular. Well, like one of the things I thought about is doing is doing um like doing targeted
678. 1:49:14advertising campaigns that are like if you think you're too technical for AI, think again and do like really like you
679. 1:49:23know th this is where you come and you know you're going to walk in here a beginner and you're going to walk out
680. 1:49:30like you know on a mission to become like you're walking into a dojo here. You know, walk out a black belt.
681. 1:49:40[clears throat and laughter] I'll bring coffee machine gas. I'll bring the coffee mugs. Yeah, exactly. Yeah. Corey
682. 1:49:45Sandler Pottery is going to be the official sponsor. The the official uh pottery sponsor of the AI salon. I like
683. 1:49:52it. What if you're not significant? Oh, stop that. Mary, here's the deal. Listen, one of the earliest things, this is actually important.
684. 1:50:03I know you're joking, but one of the things I noticed very early on in AI salon meetings was that there was a lot of apologizing for how
685. 1:50:17not good someone was at AI and then they would show us something that they were doing and it would blow our minds. [laughter]
686. 1:50:26And it got to the point where I kind of there there was a while where I was I declared, you know, stop apologizing. No
687. 1:50:32apologies. Stop apologizing because I think where the apologies come from is especially if you're not technical.
688. 1:50:41You know that gener like creating this AI [ __ ] requires MIT degrees and Stanford degrees. It really does, right? [laughter]
689. 1:50:51Um but to use it doesn't. And and so I think there was like an overhang of like feeling like well the the thing I'm
690. 1:50:58doing with AI is just like this. I just use it over here in this little corner of my world. And what happens is that
691. 1:51:05little way that you use it in your corner of your world is revvely to someone else. And so I I want to keep
692. 1:51:12this idea going that no apologizing. Like where you are is where you are. No one is an expert at this stuff right
693. 1:51:18now. We're all trying to figure it out. And that's the idea of the practice. Just be in the practice. Just show up.
694. 1:51:24Just show up. Just like breathing. You wake up. You do your constitutional. You have a coffee, you do some AI, whatever
695. 1:51:31it might be. You know, if you're clever, maybe you do your constitutional while you're doing your AI, huh? You know,
696. 1:51:38it's kind of world we live in now. There you go. The I am an artist flashcards. No apologizing. Exactly.
697. 1:51:47Mary, this class has changed my world. Good. This practice has changed your world. It's you showing up to be honest is more important.
698. 1:51:57What I say occasionally might land somewhere. You showing up is the thing that's making the difference. I
699. 1:52:06promise you that. It's because it's just it's just you just your mind is open to what's possible. and someone will come in here and
700. 1:52:15they'll say something or they'll show something or, you know, you'll see something I do and it'll open something
701. 1:52:21up, but you got to be there to be you got to be open to that thing coming in. So anyway, all right, no apologies. That
702. 1:52:29was the TED AI thing. We'll start to demo some [ __ ] again this week. Um, and then as I as I develop this structured
703. 1:52:38practice, the practice framework, um, I'm going to I'll be trying it on here. Like, like you guys are going to be the guinea pigs
704. 1:52:49for this thing. Um, because that's what this already is. So, if we put a little bit of structure into it, we'll see what
705. 1:52:57works and what doesn't. And then ultimately once we get that cracked that's going to go into the mastermind
706. 1:53:03and the mastermind is going to become a much more focused place. The mastermind is going to be where you go where you
707. 1:53:09want to develop your practice. You want to like really take it to the next level and be with people that are taking it to
708. 1:53:15the next level. That's what that's going to be about. All right. Beautiful.
709. 1:53:2990% of success is showing up. It really is. It really is. And and you know, um Rick Rubin, I I saw a Rick Rubin quote the
710. 1:53:39other day, Joy, that that um I really liked and I haven't I've heard things similar to it before, but I
711. 1:53:46haven't heard this specific one. And it was um [clears throat] you should treat every creative work, every work that you do as a journal
712. 1:53:56entry. Meaning you should create the thing assuming that no one's going to ever see it. And the expectation is just to get
713. 1:54:11the words on the page when you journal, right? So every creative expression should be treated like a journal entry. It's this
714. 1:54:19personal private no one's going to see this thing. And then once you create it, then it's this thing you can choose to
715. 1:54:27share with the world or not. But I love I love that idea of divorcing that expectation of what are people going to
716. 1:54:34think just it's a journal entry. This thing I'm making it's just a journal entry. Just a journal entry. I like
717. 1:54:41that. So anyway, all right. I'm going to get out of here. Um, [snorts] tomorrow's Tuesday. We've got no salon. We've got a salon
718. 1:54:53next week. By the way, write this down. Next Tuesday night is the AI salon presents. We're not having
719. 1:55:02a speaker. We're going to have a lot of speakers. We're going to roll out this this new practice idea. We're going to talk about what are
720. 1:55:11the components of it. Liz is going to talk about her ideas behind it. I'm going to talk about mine. And then we're
721. 1:55:17going to have people within the community talk about if AI is a practice for them, what does that look like? I
722. 1:55:24want us to start modeling for one another what it looks like to be in a practice. And like Corey, to your point
723. 1:55:32of like you're in a mode right now where you don't know what to do with it, but you know, you're still putting in the
724. 1:55:37time. And if you're not putting in the time, maybe it's time to get back on that on that wagon of just put in the
725. 1:55:42time. Put in the time because at some point, you know, inspiration will come. But I want us to to to model for each
726. 1:55:49other what that's all about. So that's next Tuesday night. All right. Um it's going to be a really good one. Fabiana,
727. 1:55:57I'm here late. It's okay. We still love you. We're back. Firing on all cylinders. All right. Share it on the
728. 1:56:04salon. Exactly. Oh, wait. I want to share my image process for series with chat GBT and series creation. Corey
729. 1:56:12Sandler, do me a favor. Um, connect if you want to do it just like in an hour-long thing, connect with Vicki and
730. 1:56:19we'll do it as an LOL. If you want to do it as a series, connect with Andy Scarantino. An N D. She just put together um Cindy [ __ ] did
731. 1:56:30that four-week um sprint for for building stuff for uh what was it called? for uh for doing a miniourse. Um
732. 1:56:38and Andy just turned that into this really cool space of of all the the downloadables and the the videos and
733. 1:56:46things like that. So if you want to do it as a series, I that would be really powerful. I'd love for you to do that in
734. 1:56:51the salon. That would be awesome. Great. Thank you, Kyle. Another great one. Thank you very much. Beautiful. All
735. 1:56:58right, kids. Peace. I'll see you tomorrow at 8 o'clock. >> [cough and clears throat]