3/12/2026 - Discussing the Internal AGI Rumors at Anthropic and the Future of Human Meaning

Transcript

1. 0:00We got the Slinky Paton on. I want this a little higher. What do you think, Chin? Make the guitar a little bit higher.
2. 0:15I think that's better. Yeah.
3. 0:30(Vocalizing)
4. 0:50You and I get all alone. Sunday morning here at home. The sky's blue and the cuff is strong. It's true.
5. 1:07Then I open my eyes to a dream realized still for me. And I haven't got a clue what in the world has happened to me.
6. 1:23I think I think I'm happy. Like a Thursday or summer vacation, happy. Gotta get a little rest and relaxation, happy.
7. 1:36Like the quiet on Sunday morning, same and true. Oh, sister, when you cook that way, yeah, sweet distraction rules my day.
8. 1:52Gives you daydream just my break from the sound of you and I rocking up bodies. Yeah, I don't understand why I was
9. 2:02in your love a man hundred years ago. Fellas gonna have to understand if they have to do a man who's gone. I think I think I'm happy.
10. 2:19Like the loving on the all day long, happy. Like sleeping on the front lawn, whoo, happy. Like hearing your favorite song on the radio.
11. 2:32(Vocalizing) (Vocalizing)
12. 3:04(Vocalizing)
13. 3:34Whoa, champion's up this game in terms of timing. They're appreciating your new style ones there, buddy. (Vocalizing)
14. 4:04(Vocalizing)
15. 4:26Oh, good evening, good people. (Vocalizing)
16. 5:04(Vocalizing)
17. 5:34(Vocalizing) What do you think, champ?
18. 5:48(Vocalizing) (Vocalizing)
19. 6:04(Vocalizing) Every time I see you now, I get that look in my eye. Every time I see your mouth die, I hear that smile.
20. 6:26In the early misty morning, that I heard the engine turn. And you all fought outside.
21. 6:42You were leaving man again today. You convinced me again today.
22. 6:56You're leaving this hometown looking for someone else's golden ring. Should've said so wrong, Susanna.
23. 7:11(Guitar Music) Oh, now don't you cry. So long, Susanna.
24. 7:30Don't you cry for me. (Vocalizing) (Vocalizing)
25. 7:51All right, all right, all right, all right, all right. Got my fancy sunglasses on. You know, I went there. He was a little pretentious.
26. 8:01He was a little full of himself. He wore these sunglasses. He's got some sort of light that makes it look like it's
27. 8:09sunset in his office, but it's not. It's just a light. And he's wearing sunglasses like he needs them. I don't think he needs them.
28. 8:17I think it's overkill. I think the show's overproduced. I think the producer asks him to wear sunglasses, and I just don't understand it.
29. 8:29(Vocalizing) I can pick on Brandon. He's on a train. I can pick on him anyway, even if he's here. What's happening, good people?
30. 8:41What's shaking? Anything? Anything worth talking about? It seems pretty clear, in case you haven't been paying attention,
31. 8:56it seems pretty clear that at least anthropic and probably more have achieved AGI internally. So...
32. 9:12If you're sitting there wondering, "Gee, Kyle, what does that mean?" I'm with you. I don't have a fucking clue. I do not know.
33. 9:24(Guitar Playing) Here we go. (Guitar Playing) (Singing)
34. 9:59(Singing)
35. 10:29Let them laugh while they can. Let them spin. Let them scatter in the wind.
36. 10:44I've been to the movies, movies. I've seen how to answer. And the jokes are on them.
37. 11:02You get discouraged, don't you girl? It's your brother's world for a while longer. You gotta dance with the devil on a...
38. 11:19You gotta dance with the devil on a river to beat the stream. Call it living the dream. Call it kicking the ladder.
39. 11:31They come to kick dirty in your face to dress you down. Do the something and the carrying your baby on the back across the desert.
40. 11:46I don't remember the rest of the words. But I can't really sing this song very good. And that's how much it hurts.
41. 12:02The AGI thing, there's just... Hey Fairy Tail Revolution, what's happening? I request trouble. Trouble! Alright, we can do a little trouble.
42. 12:13You know what I'll even do with trouble? Where do I have it? Let me see. I think I have them, they're lyrics in my notes. My notes app.
43. 12:25I could sing the whole thing if I can find yield lyrics. You gotta dance with the devil on a river to beat the stream.
44. 12:41Call it living the dream. Call it kicking the ladder. Ooooh, da da da da da da. Da da da da da da da.
45. 12:53And then a little little, little little, little little. Hang on a second, I'll see if I can find yield lyrics for yield trouble.
46. 13:03I know I put them somewhere. This is one of those ADD things. My machine is not happy with indexing right now.
47. 13:14It installed some new operating system. Let me try one other place. Let me try one other place. What's happening, Techie Becky?
48. 13:25I appreciate the request. The request line is open. If you know one of the 17 songs that I know,
49. 13:42and your ears aren't bleeding. Okay, let's see. Did I put it in my guitar tabs program? This would be fascinating to know. Trouble.
50. 13:56Let's see, come on, come on, come on. My tabs. My tabs. Stop.
51. 14:10If you think life is easy over here. Come on.
52. 14:33Trouble is a hit waiting to happen. I also have the cover I did in "Suno," that version of "Trouble." We can go listen to that, too.
53. 14:54Standing between you and a hard place is insane. Standing to me, you and a fire makes it clear.
54. 15:13Your trouble to me. You're a bit trouble, can't you see? Leading close, the smell of your perfume scares me most.
55. 15:34Leading away, it feels stronger every day. Your trouble to me.
56. 15:49Real trouble, can't you see? It's time to go. I gotta leave now, enjoy the show.
57. 16:04It's time for you to do the something, and I'll see you, too. (Guitar Music) (Humming) Let me go
58. 16:27find the "Where do I have trouble?" I know where I can find it. (Humming)
59. 16:42I am such a useless, useless. Oh, my God. Oh, my God. Oh, my God.
60. 16:56Okay, let's go media. I'll go look at the media, and then we'll go look down here. We'll go look for trouble.
61. 17:03Trouble right here in River City with a capital T, and that rhymes with P, and that stands for "pool," as you know. Uh-uh. Uh-uh.
62. 17:13Did I not put trouble up here on... Really? Hmm. Wow. Strange. (Humming)
63. 17:37What's everyone saying? What's he doing? I'm just looking for a file I can't find. (Laughs) Trouble.
64. 17:52There we go. Wait, where did that go? Trouble. What the hell just happened? (Humming)
65. 18:29Standing between you and a hard place is insane. Standing to near you in a fire makes it clear.
66. 18:47You're trouble to me. You're trouble, can't you see? Meaning it calls, smell your perfume scares me most.
67. 19:06You can hear that on YouTube, right? Meaning away, it feels stronger every day. You're trouble to me.
68. 19:23You're trouble, can't you see? (Guitar Music)
69. 19:43Standing between... Wait, let's start it over. Why didn't it start over? That's bad interface. I got some dead interface here.
70. 19:51The fire takes me away from where you are. You're trouble to me. You're trouble, can't you see?
71. 20:11It's time to go. I gotta leave now and show the show. It's time for you to say goodbye.
72. 20:25Yeah, I'll miss you too. You're trouble to me. You're trouble, can't you see?
73. 20:41(Guitar Music) Now that you're gone, all is supposed to be more fun.
74. 21:03Now that you've left home, all I feel is this gaping red. You're trouble to me. You're trouble, can't you see?
75. 21:25You're trouble, don't you know? You're trouble, where did you go? All right, there you go, trouble.
76. 21:41Future Grammy Award winner, as soon as I do something like publish it and try to sell it, get it recorded.
77. 21:50All right, what are we going to talk about tonight? What would you like to talk about? We can talk about anything. The thunderous applause.
78. 22:00Whoo! That was much rejoicing. Yay. Rather. I was in an ornery mood today. My ex-feed is getting filled with
79. 22:13people screaming about how awful AI is. Normally I let that shit go. Today I fought it. I was just picking on people.
80. 22:28I don't know, man. I do not know. So I did a couple of cool things with Adam today. So Adam, if you don't know, is my open claw.
81. 22:41But my assistant, my worker, I understand how to displace jobs, but it could also cure cancer. Yeah, what's happening right now is
82. 22:58the people that are just pure AI hate are kind of looking increasingly I don't know, just it... I don't know how to characterize it.
83. 23:14It's just looking a little long in the tooth right now. It's the same arguments over and over again. And it's just clear that they're not
84. 23:20willing to even try it or understand what it is. And very often what will happen is if I get into a tussle
85. 23:33with one of them, they're like fucking passionate about it. It steals from artists. And if you make images with it, you're a fucking thief.
86. 23:43Same with music or movies. And then if you say, but if it cured cancer, would you be cool with that? Oh yeah.
87. 23:53So you know it was trained on all of the research that all those researchers did. So it's like, I don't know,
88. 24:01it's just this weird myopic thing. But it's also just this year, shit's going to start
89. 24:07accelerating if indeed anthropic has hit AGI internally. And they're just basically trying to figure out a way how
90. 24:15to release that into the world. Like shit's going to start moving really fast. Like recursive self-improvement.
91. 24:24Kyle, I have been going crazy with OpenClaw. It's one of the best things ever. I built a lost in space robot. It's so fucking cool.
92. 24:32AI helps us that don't have an entire team to move faster and express ourselves faster. Yeah, exactly.
93. 24:38Dude, I hate that I make a lot of AI music. You can hate it all you want. I mean, digital photographers were lambasted for a decade.
94. 24:54That's not real photography. Real photography is just on film. And then until it wasn't, right? Until it wasn't a joke.
95. 25:02Photography was not considered an art form, what, until the 50s? And it had been around for a century, something like that.
96. 25:12I spent about a month just locking it down and writing an LLM firewall along with a bunch of other security issues. It's so cool.
97. 25:19Yeah, where I am with mine is I think I've got it decently secure, but probably not. Because I don't know and I don't frankly care.
98. 25:29I'm not protecting the Vatican here. The Vatican. I don't know if I came up with that as the thing to protect.
99. 25:43Not even Catholic. Yeah, it's pretty fascinating. The thing I did for Adam today was, so five days ago,
100. 25:58Google released Google Workspace CLI, command line interface. So I had this thing called GOG, which was a third party Google access skill.
101. 26:09And then today, tonight, I installed Google for Workspace from Google. The nice thing about that is they'll
102. 26:15just keep adding new features to it. And this one thing I installed has access to all of the Google features.
103. 26:23You can just turn them on and off. So that's pretty slick. Yeah, it's quickly going to become the new layer of human brain structure.
104. 26:30I'm all in no matter how loud the haters get. We must protect Champion's cheese supply. So I installed that.
105. 26:45So I did a cool thing today. So once you have-- once your Cloudbot, once your open Cloudbot has access to Google Drive,
106. 27:03normally what happens is he's writing stuff to these little markdown files that are basically like his own internal little database.
107. 27:12But once he's got access to Google Drive, you can just have him write Google Docs. And it's incredibly fast.
108. 27:19Like, it's mind blowing how fast it is. So today I thought-- oh, so I came home from lunch. The printer was jammed.
109. 27:32I had to fix the printer for the misses. So I did that. And I thought, while I'm home, I'll upgrade his brain from
110. 27:39OpenAI 5.3 to 5.4, which is supposed to be much better. And I'm still only using the $20 a month subscription.
111. 27:48So I'm not incurring API costs. So if you're afraid of installing OpenCloud because you're
112. 27:55going to run up massive API bills, if you use the Codex API front end, you can basically authenticate with your $20 a month subscription.
113. 28:06And it doesn't cost you API tokens. It's just your $20 a month thing. You get rate limited if you use it too much. But it's fine.
114. 28:17So I did that. And then when I went back to work, he was just broken. Like, he was slow. Like, I would put in a command.
115. 28:26And it would say typing. And then it would eventually just stop. And he'd sit there. And I think he was frozen.
116. 28:33And so I'd send another command. And then nothing would happen. I'm like, oh, he's broken.
117. 28:37And then like three minutes later, I'd get a response. I'm here. I'm here. I'm here. I'm here.
118. 28:45And then eventually, it just kind of worked itself out. Like, I don't know what I did to make it better.
119. 28:51But like, it eventually sort of just, I guess, got whatever out of its caches that it needed to. And so now he's on 5.4.
120. 29:01And it's pretty good. And I just wanted to see, like, do you have access to the internet still? Like, how bad did I hose you? Right?
121. 29:09How bad did I break you? And so I said, like, can you see Reddit? Can you go look at Reddit? And he was like, yeah, I can go look at Reddit.
122. 29:16And I was like, OK, cool. I thought, oh, wouldn't it be cool to-- so I've got this-- the great repurpose thing, right?
123. 29:23This idea that we're about to enter this meaning of crisis where all of the tasks of everyone's job is about to be stripped away.
124. 29:31You're either going to lose your job or you're going to keep your job. But the tasks that you used to do that you got really good
125. 29:37at for 15, 20, 30 years, now you no longer have to do. But you do have to deal with AI and babysit agents and just do other shit.
126. 29:47And so people are going to be all freaked out, right? And we live in this remarkable time where 90% of people
127. 29:56really don't know what chat GPT is, right? It's like 0.3% of people are on a paid plan globally. 0.3%, 0.3% are on the paid
128. 30:11plan, just paying 20 bucks a month. 0.3%. So you've got like 90% of people don't really know what chat GPT is.
129. 30:20Probably 60% of people don't even just have zero clue what's happening, what's coming. And it seems pretty apparent that AGI is
130. 30:30here, it just hasn't been released yet. So the gap is crazy. So I thought, wouldn't it be cool if we could have some
131. 30:37sort of index that's actually based on conversations happening on like Reddit or X or whatever,
132. 30:45and what if we did ratios, like ratios of people talking about job loss versus, you know, rediscovering my new
133. 30:55purpose, you know, something where people are talking about AI in two different contexts.
134. 31:00And so like AI would be really good at going to look at Reddit and say, look at all the conversations that are
135. 31:06talking about AI and job loss, and then look at all the conversations that are looking at AI and meaning, purpose,
136. 31:14whatever it might be, and do those as a ratio. And then you could also do a ratio of people talking about
137. 31:19AI tools versus AI applications, like how they're using it, how it's impacting them, right? You could do that as a ratio.
138. 31:28And so I just started talking to Adam. I said, here's an idea, like what can you come up with? And so here, let me show you something.
139. 31:35Let's see. (Humming) Lily, I said, Kyle, what AI app do you recommend to make
140. 31:50music, like music released on Spotify? Just check with your distribution platforms. I don't know where Spotify is now.
141. 31:59I think Spotify is back to allowing AI music. Some of them don't. Some of the distribution platforms are just AI music.
142. 32:08Suno for me right now is the best one. But producer.ai is pretty good and pretty interesting. Madlib's like Sunado.
143. 32:22UDO used to be pretty good, but you don't own your music if you don't have a paid subscription now. You can't even download your music
144. 32:28if you don't have a paid subscription. (Laughs) Kyle, I've gotten really good at horsing plastic containers. (Laughs)
145. 32:41That's fucking hilarious. Oh, man. Suno, Suno, Suno. Yeah, Suno's probably the best one right now. Let me show you something cool.
146. 32:59I'm assuring the screen. Yes. (Whistling)
147. 33:17Okay, so this is really cool. What you're looking at right here is I had Adam help me
148. 33:26design a methodology for creating a great repurpose index. Something where on a regular basis it can check Reddit,
149. 33:40look at the nature and tone of the conversations, look at the nature and tone of AI adoption,
150. 33:48AI anti-sentiment, whatever it might be, and then put these together in some sort of mathematical scoring methodology.
151. 34:01It wrote all these documents, these Word documents. Let's see. Here we've got the ingestion and scoring workflow. Product spec number one.
152. 34:20Somewhere in here I've got a lovable build prompt, so I had it write me a lovable prompt. I've been using MIA and missed this community.
153. 34:30Well, welcome back, Lily. Keep coming and hanging out here. Kyle, to make videos to explain how to use an app, each
154. 34:36feature, best platform economics please. To make videos to explain how to use an app and each feature.
155. 34:48You know, Cory, there are, I don't know that world super well, but there are apps that you can, I know that there's one out there right now.
156. 34:58You just use a piece of software and it will write you like a PDF document of all the steps of how to do it.
157. 35:05There's a bunch of screen recording softwares that do that. I'm trying to do this on notebook LM. It looks like Brandon is heading to
158. 35:15the Post-it notes here for a second. Loom. Yeah, Loom, Loom you could probably do it with. That's pretty good.
159. 35:25MVP dashboard, product spec V1. Sorry, unable to open this. Uh-oh, why do I not have access to, oh, I bet I know why.
160. 35:37Yeah, I'm logged in as the wrong account. Okay, now I think I'm good.
161. 36:00Let's see adoption, AI adoption, stage methodology, calibration, dimensions and labels, framework architecture, the item schema.
162. 36:11I don't even know what half these things are, but we're going to hear the great barometer overview. The great repurpose barometer.
163. 36:23That's what Adam came up with. The folder map, the overview, the methodology, the taxonomy. All right, this is a little stubbed document.
164. 36:37Okay, fine. And it also doesn't follow those folders. So here's what we're going to do. We're going to go talk to Adam.
165. 36:43We're going to go talk to Adam. So what we'll do, and you'll be able to watch this in real time. This is pretty slick.
166. 36:54Let's see, can I close this thingy over here? Nope. All right, so here's all of our documents, right?
167. 37:08So what I'm going to say to Adam is I'm going to say, in Google Docs, you have the, you have great, great, great, great,
168. 37:21great repurpose barometer at the beginning of each file name. That is stupid. Also, you have the, you have great repurpose barometer at
169. 37:35the beginning of each file name. That is stupid. Also, there are no folders like the
170. 37:54ones you describe in the overview document.
171. 38:12Why don't you clean things up and let me know when you do. Okay, so now Adam is going to go off and he's probably
172. 38:26going to just start renaming files over here to the right and making folders and shit like that. We'll see.
173. 38:35I don't know what we can, what we can read here. But it says up at the top, it says typing.
174. 38:42You can't really see it, but there's a little animation that says that the server's running and he's thinking, oh,
175. 38:47look, see, look, it just added overview methodology, taxonomy, data model, research log, dashboard. And so now it's probably going to rename
176. 39:00the files and put them in those folders. Isn't that cool? So Adam's off doing shit.
177. 39:17It's wild. All right, Adam, what are you doing? You made folders. Is there anything in them? What are you doing, dude? Way to go, Adam.
178. 39:35Adam's an RA dude. Something's happening. Is he moving files? Yes, look, he's moving files and look, he took off the
179. 39:50great repurpose barometer at the beginning of them. So it's a little slow. I guess he's got to rename it, then move it.
180. 40:02But like this is the kind of thing if you had an intern that made all the you know, all these files and they're
181. 40:09like, oh, could you go rename them and put them in folders? You know, that would be like half a day.
182. 40:16And the intern would be like, I got to I got to go. I like granola bars. I got to go eat a granola bar. All right. Go eat your granola bar.
183. 40:29I don't want to be in an HR lawsuit. Go eat your granola bar. 45 minutes later. What are your thoughts on chat
184. 40:38GPT 4.5 versus Opus 4.6 or 5.4? I'm not using any of these models deep enough, Cam, that I have that I have a real opinion.
185. 41:03Claude has seen a dramatic increase in revenue. Oh, wait, what did Adam just say? Claude basically just got a bunch of open
186. 41:12AI customers and gained a bunch of new ones. And. But open AI 5.4 thinking. Is supposed to be pretty good.
187. 41:27The thinking model is not great at. I mean, open AI 5.4 is not great at writing, but most people aren't using it for writing.
188. 41:35They're using they're comparing these things by coding and I'm not really doing that other than kind of the stuff I'm
189. 41:41doing right here, which this is using 5.4 and I really like it.
190. 41:44I think that's a good idea. I think that's a good idea. I think that's a good idea. I think that's a good idea. I think that's a good idea. I don't know, Cam, you know.
191. 41:50For a while now. Like if if if you said you have to be on an island and we're going to put we're going to give you access to one model.
192. 42:02And and they would pick from one of the majors right and thropic Google open AI. We won't throw meta in there. Grock.
193. 42:16Like the one I would like the least right now is grock, but it's getting better, but the other three are fine.
194. 42:21Like they're just all they're all of these things right now are good enough that they're all fine and probably within
195. 42:27six months they're going to be amazing. So I don't know. OK, so let's see methodology going to the methodology here. The adoption.
196. 42:36Here's the scoring spec. This is the thing I wanted to show you the TGR index. Revision notes. So the purpose that let me let me
197. 42:48zoom in here so you can see a little bit. Well, I notice how this is like a well formatted word document.
198. 42:58You know, the great repurpose barometer formal scoring spec
199. 43:011.0, the great repurpose barometer measures how public conversion and shifting is shifting in resolution. It's designed to answer.
200. 43:14Are people mostly talking about jobs and economics or purpose and identity? Are people still in tool obsession or they moving toward
201. 43:22mindset adaptation adaptation is the conversation mostly panic hype or becoming more sophisticated and systemic, right?
202. 43:29Like like these three, these three are the same. They're the same. They're the same. They're the same. They're the same. They're the same. They're the same. And I think it's really dynamic.
203. 43:30Right. Like like these three these three ideas right here. Those were my ideas. That's what I started with.
204. 43:37I was like, wouldn't it be amazing to have a mathematical ratio based on what people are actually talking about where
205. 43:44we can figure out where we are in this process. I've been using Opus 4.6 to write use case, studies and
206. 43:51while I'm stuck in the hospital, it's been keeping me sane. That's really good. I think I'm a little more
207. 43:59enamored of Claude right now for writing. Like chat GPT was really good, and then they got rid of four.
208. 44:10Oh, and whatever, whatever happened in their shift to five, it was probably just a different team that did slightly
209. 44:15different training and slightly different, you know, post post training optimization or fine tuning or whatever the fuck they call it.
210. 44:23I don't know. They just they just kind of lost their score. So I'm feeling like Opus is probably the one cam for right now.
211. 44:31Are people beginning to recognize forms of human value that are not reducible to industrial era job logic? Source set, Reddit only primary
212. 44:42time window, seven rolling days. Secondary views, 24 hour and 30. So there's going to be a seven day
213. 44:50rolling view, a 24 hour view and a 30 day view unit of analysis, Reddit post plus top level comments.
214. 44:59The core dimensions, economic pressure, meaning pressure, mindset shift, scope of work, sophistication, agency
215. 45:05adaptation, human value recognition. So this goes on. And now it's like item level annotation schema.
216. 45:12Each item receives source metadata, primary topic, secondary topic, tone, pressure intensity, sophistication,
217. 45:20agency score, human value score, great, great repurpose proximity. And then they start going into the math. Right.
218. 45:29Use logarithmic weighting. So viral posts do not dominate. Ew equals log one plus score plus number of comments.
219. 45:41Comments Ew equals log one plus score. OK. And then so the economic contribution is the Ew times economic pressure divided by three.
220. 45:51So it's got all these weightings and things. And then you aggregate the seven day window and then you normalize it.
221. 45:58And then you do core functions. This is all if anyone knows math or knows this. Or I don't shite. I don't talk math.
222. 46:06I'm right there with you, but I don't care right now. I watched Vicki's L.O.L. on Notion and used the agent for the most part of the RAS.
223. 46:19That's very cool. Love it. OK, so. So we have all these documents now, and I can't show you
224. 46:29because I couldn't figure out how to get the thing running on the other machine so I could show it here today.
225. 46:34It basically built a dashboard for this, but it also wrote us. A. Let's see. Oh, dashboard is the lovable.
226. 46:51Yeah, the lovable build prompt. So in here is a document, the great repurpose parameter.
227. 46:58So here is a whole giant ass eight page lovable prompt with all the math in it, all the weightings, all the interface ideas.
228. 47:11That this is Adam wrote all this. I just said to Adam, I want I want to do a thing. I want to I want to be able to look at a number and say
229. 47:23that that number represents something. And Adam went off and did all the math. So we're going to head over to lovable.
230. 47:32We're going to go to lovable.
231. 47:47OK, so I've got some credits here. Pro plan ambassador.
232. 48:04I'm a pro. For me. I got OK, so we're going to go pro. All right, here we go. OK, so I'm going to go home
233. 48:23and then I'm just going to paste in. Copy. Go back here, go paste. We're in plan mode, so in lovable, if you turn on this
234. 48:37little blue box right here, that's chat mode, plan mode. So it's going to be planning. Here we go.
235. 48:56All right. Reviewing architecture and data sources. So in theory.
236. 49:12I don't know how this is going to work. Well, we'll see. We'll find out. We will find out. Suggestion. Tell lovable to do the work in steps.
237. 49:27OK. Questions.
238. 50:03So what's it doing? Is it off building? I thought we were in plan mode. Does it does have questions for me? Update plan.
239. 50:15Looking at this detailed brief, I have a clear picture of what to build. Let me confirm just a couple of
240. 50:20preferences before creating the plan. I guess it's just still thinking. All right, we'll figure it out. It will give you a review and
241. 50:34then read it in a preview window. Yeah, but it's it's like hung right now, but I guess it's just working. That would be a nice thing if I
242. 50:41had a little more, a little more whatever you call it, activity monitoring. Let me ask if it's stuck.
243. 50:59You give it a shebang load. I don't know what I did there. Hello. Are you. Live.
244. 51:26Plan. OK, here we go. Generating the plan.
245. 51:50All right, let's go look at it. There's the architecture.
246. 52:04Visual design, dark theme with navy charcoal bound, charcoal background, custom CSS. Data layer, static mock data.
247. 52:23Implementation implementation order. All right, let's just approve it.
248. 52:42Sam and Steve. Oh, shaking. It's going down. Build types, mock data and theme, build dashboard shell
249. 52:51with sidebar, build overview and tab components, build trends, signals, method views, build detailed modal and utility components.
250. 53:15So while this is doing this, let me share something that came up in the AISalon Mastermind Practice Lab today.
251. 53:26There was there was a decent amount of. Folks struggling with now that they've built something talking about it.
252. 53:41And I think that that's a natural. A natural human tendency is once you've built something that it's, you know, it's
253. 53:52vulnerable to go out and talk about it.
254. 53:54Hey, look what I did, right? And after I left the column thinking like. If you've already got, if you've already got any kind of
255. 54:10issues where you're shy about talking about what you've built. And you build it with AI.
256. 54:19There's something about the friction free nature of how AI build shit.
257. 54:19And it's not about the friction free nature of how AI build shit. It's about the friction free nature of how AI build shit. There's something about the
258. 54:21friction free nature of how AI build shit. That you're not personally developing a relationship along the way, right?
259. 54:32The friction of building things the old way meant that for something to survive the gauntlet of development, it had to
260. 54:42be good enough that as you're struggling and as you're building, as you're trying to do things, it actually survives that journey.
261. 54:50What AI does is it jumps you from idea to execution with, with none of that development time. And so if you've got a,
262. 55:01a personality where you're already a little like, I don't know if I want to talk about it and you don't have a real
263. 55:07sense of ownership of the thing you created, my, my gut's telling me that it's going to make it much harder for
264. 55:14people to talk about the thing they've built. Like, even if they're not guilty about it, like some people are like, Oh, it went so fast.
265. 55:22I feel guilty. But even if you've worked through that, there's something about this idea of lack of friction that.
266. 55:37Like it doesn't work with our human brains. That's an idea I got from, from Andy who's actually talking
267. 55:43about like human evolution and things like that. But even just setting evolution aside and how, how fast our
268. 55:51brains work, there's just like not enough time to build a relationship with the thing you've built.
269. 55:56And there's also not a relationship with other people as you're building the thing, right? You're just building stuff out.
270. 56:05It comes and then you're like, here, here's the thing. And people are like, who are you? Oh, I made a thing. Yeah, I know that.
271. 56:14You said that. What's the thing? Oh, it's, it does this. Okay. Why, why do we need that? Oh, cause we have this problem. Oh, okay.
272. 56:25Like, like you got to work your way back from, I built a thing for people to even understand why they're in the conversation with you.
273. 56:35You know, yeah, the struggle's not there Fabiana Fabiana. Yeah. It's there's something, something like that.
274. 56:46And I don't, I don't, like I'm, I'm, it's one of the brilliant magical things about AI is that there's a lack of friction.
275. 56:57But what I'm starting to get is that there's, there's times when to turn that, that friction all the way to zero and there's times when
276. 57:07to turn that friction much higher. Right? Like if you work in a company, if you work in a corporation
277. 57:13and there's a big product, you have a meeting and in the meeting, the CEO says, here's our biggest problem.
278. 57:23And you walk out of that meeting and you go build, you go to lovable and you build the app that solves the problem.
279. 57:30The CEO just said, this is our biggest problem. And you go build the solution to it in the next hour. Cause you probably can.
280. 57:45What about the other 12 people in that meeting? What about the other 12 people in that meeting? Three of whom are already working on
281. 57:51initiatives to solve that problem for the CEO. If you just walk into their office and show them the solution, they might be excited,
282. 57:59but they might also be threatened. Like who the fuck are you? I've been working on this for six months. Get out of my office.
283. 58:06Or if you just dump it on the CEO's desk and the CEO says, Oh, that's awesome. I love this guy now.
284. 58:14Now you have 12 enemies, the other 12 people in that thing. How did you jump the line? I've been working here for 30 years. You little punk.
285. 58:25You know, the whole versus just the part. It's difficult when I get back home Thursdays, I hope to share lots. Yeah. Yeah. I know.
286. 58:36There was a, there was a lot today. Like the, the, the AI, the mastermind practice lab, that group is, is developing very deep.
287. 58:50I don't know if it's trust, but very deep layers of of understanding what we're facing with AI.
288. 59:07Okay. This is doing something open barometer. Oh, look at that. The great repurpose index. 42.7 trends. Oh, this is so cool.
289. 59:21The meaning ratio, the mindset ratio, 30 days. What's this green one? The sophistication race ratio. And why is it so high?
290. 59:36I feel like these should be, why are we at, these feel like these numbers feel like they're too high, but I don't know what they are.
291. 59:43So signals. Oh, this is all fake data. That's what that's what's going on here.
292. 59:57The great repurpose barometer is fully built in live 20 files across types. Mock data, 12 barometer components, sidebar navigation.
293. 1:00:09Well, I wouldn't call this sidebar navigation. You've got a home button, which has a button on it. And then you have the barometer page.
294. 1:00:19Here's the methodology. We're not going to give the methodology away. Are we? Maybe we will. Huh.
295. 1:00:38Let's see. I wouldn't. Exactly. Let me let me go into plan mode, into plan mode. Call the side navigation.
296. 1:00:56Useful. It's a. Home page with a single button on it.
297. 1:01:11And the barometer page. I'd like you to look more.
298. 1:01:31Critically at. A more sophisticated nav. That requires a sidebar.
299. 1:01:49Or. Kill it if. It isn't needed. Also, how do we go to live data?
300. 1:02:08We can enable lovable cloud. For web access. AI analysis. Etc.
301. 1:02:30Let's see what it comes up with. Corey, I built a thing. Where'd that go? I'm learning so much. I'm loving the mastermind.
302. 1:02:46It was it was good to see a silver fox. I'm sorry you weren't feeling great, but it was nice you
303. 1:02:50turned on your camera and jumped into the conversation. That was cool. The whole versus just the part. Here we go.
304. 1:02:58I built a thing, solves many problems, maybe too many, finding the core and still let others know. Yeah. There's there's there's something.
305. 1:03:08As AI like like like this thing I'm building right now.
306. 1:03:22This thing I'm building right now. Is some sort of data analysis thingy that that the concept came out of my brain.
307. 1:03:33I'm going to build this thing. I'm going to build this thing and then maybe tonight it's
308. 1:03:39actually functional and then I could just publish it and then I could point people to it and go, look, I made an index.
309. 1:03:47I'm going to look at the index and it'll say forty two point seven and I'll go. But they won't care because why would they?
310. 1:03:59I'm just going to approve whatever it said. Failed to approve plan could not save the plan file approve. OK. Are we building now? OK.
311. 1:04:12If you just put a thing in the world, you don't give people a chance to build a relationship with you or the thing.
312. 1:04:23Right, so storytelling starts to become really important. Right. I had this insight, this insight turned
313. 1:04:38into this thing called the great repurpose. The great repurpose turned into this thing. It's now going to turn into an annual conference.
314. 1:04:46It's now going to turn into an enterprise offering. Right. Here's what here's what it's going to be built in back end.
315. 1:04:54Yes, we're going to allow that. And then we're going to go back to the next slide. That.
316. 1:04:58Then you need to build another agent, a friend of Adam's, who is a status agent and a decipher of data. No, I had Adam build me a dashboard.
317. 1:05:06He built his own dashboard. That's pretty funny. Play first confidence, provisional,
318. 1:05:22inferred transition phase based on Kyle Shannon's cycle of a readiness. This is the interpretive layer, not a measured score.
319. 1:05:31I don't like that. AI adoption stage, 34 percent intentional use, one point eight points. I think this is all still fake data.
320. 1:05:43Connect to fire crawl. No connections available for fire crawl, please connect. Please create. So fire crawl is a is a command
321. 1:05:52line thing that will go crawl websites. I guess it's going to go crawl Reddit. So I'm going to add a connection.
322. 1:06:02The name will only be used by lovable, so we'll call this the great repurpose crawl. Managed by lovable.
323. 1:06:15Get a free hobby plan and 100,000 fire crawl credits. Yes, let's do that. We want free.
324. 1:06:21We like permissions, the connection and associate connect. Great repurpose crawl. Okay. Connected to the great repurpose crawl. Great.
325. 1:06:34All right. It's going to go read web websites for us.
326. 1:07:06I Don't want to show that in here here. Let me Let me change my let me let me go get some perplexity action here. Hang on a second
327. 1:07:39account system Usage and credits
328. 1:08:01Let's see Perplexity API key You
329. 1:08:30Get your perplexity API key continue with Google I Continue gonna do this.
330. 1:08:44No I'll be with you there shortly
331. 1:09:38I I I I
332. 1:10:04I'll be back with you in a second. I'm just trying to get my first key key name great We
333. 1:10:09purpose what's it called the index it's not called the index, but that's okay Search API agent API
334. 1:10:29All right, I just need this and if that I go like that You go like that. Okay connect Set good. I think that's good go back here.
335. 1:10:43All right Analyzing requests scope and goals The great repurpose barometer Trends Done.
336. 1:10:56Here's what happens sidebar killed lovable cloud-enabled fire crawl connected perplexity connected Next up I'll
337. 1:11:03build the barometer snapshots Database table the barometer analyze edge function fire crawl scrape So it's gonna it's
338. 1:11:14gonna use fire crawl to scrape Which call it Reddit Perplexity is then gonna analyze it and write it to a database
339. 1:11:28To serve live data to the front end want me to proceed. Yes, please I Blackbar sorry. Sorry bad bad host with no producer
340. 1:11:49You're welcome everybody I'm so excited to do that it's pretty cool In my app and menu I have my story the why I made up the
341. 1:12:02app the problem I had and the one I needed to solve That's very cool. You have that in the app itself. That's actually really cool Cory.
342. 1:12:10The other thing Cory I could see being a part of that is There's a difference between having the story written in
343. 1:12:18there and you recording those segments like there there could be something powerful about if you go to the about
344. 1:12:25tab on an app and Rather than just reading something. It's like hey, I'm Cory and here's why this exists.
345. 1:12:32There's I don't know there's something Oh, yes, you plan to that's really cool. There's something about getting to know people
346. 1:12:40That is oh, this is building a live data pipeline. We're building a live data pipeline here people This is
347. 1:12:51cool I Started in notebook LM also. Oh, that's very cool Very very cool I
348. 1:13:0615
349. 1:13:38Oh I think I can do a thing here. Can I turn on I can turn on plan and Then I can go I Have an idea for
350. 1:13:54The cycle of AI readiness It's not that we're in a transition phase
351. 1:14:08It's more like I would Like to see Representative posts about the kinds of things
352. 1:14:28People are talking about around learning AI Play first Building building things with AI
353. 1:14:47Create excellence and Sharing The process of how you did it Generous lead
354. 1:15:12Maybe there is some sort of score per Element and
355. 1:15:28Three Representative Quotes with links to the original post Those quotes
356. 1:15:44Capture the state of the day All right, let's see what that does Who the hell saved me a seat there's plenty come on in. Okay.
357. 1:15:57Let's see what's happening here Run your first analysis The live data pipeline is built and deployed the database
358. 1:16:09barometer snapshots table stores each analysis Generating a plan for that We're just going to accept this plan by the way a Cultural
359. 1:16:31weather map for the AI transition
360. 1:16:48Oh This sounded like a typewriter from the 60s. Oh, yeah Alright approve So it's gonna do it sing let's go read what this thing did
361. 1:17:02It's got a database to barometer analyze the edge function scrapes six reddit focused queries Via fire quali sends the
362. 1:17:12combined content to perplexity Sonar pro for scoring writes the payload into the database the hook the barometer page
363. 1:17:24To run your first live analysis call the barometer analysis endpoint point Well, I'm not gonna call it You wrote the website.
364. 1:17:34I'm just gonna say that I'm not calling your dumb endpoint You made the site Hook it up
365. 1:17:52Yell at your LLMs if they do stupid shit tell them they did stupid shit Three tools used
366. 1:18:02That's going that's doing its thing updating the readiness payrolls redefine refining the barometer mock data now
367. 1:18:22you
368. 1:18:41Play first 65 out of 100 Create excellence generously lead this kind of cool. I don't know how it's doing the math
369. 1:19:10Q1 I'm not calling your dumb end point And all right now it's fixing the dumb end point
370. 1:19:24When my LLM gives me a list of to-dos I whine and say can't you just do it for me and it does Did he complain on the bot discussions?
371. 1:19:35I don't know. We'll see Adam is hard at work now using lovable actually. Yeah, Adam wrote this prompt for lovable Fair point.
372. 1:19:44Let me add run analysis button to the UI Run live analysis All right running live analysis this
373. 1:20:03takes 30 to 60 seconds we'll see about that It's 920 we'll see if it 925 anything has happened
374. 1:20:18What's going on here tonight so Jason what we're doing I Talked with Adam today. So Adam today got a new brain.
375. 1:20:27He got open AI 5.4 up from 5.3 Which is apparently a big upgrade, but whatever I'm Still using the 20 buck a month plan.
376. 1:20:40So if he if he thinks too much, I'll just rate limit out It won't cost me a fortune.
377. 1:20:44So I'm just doing 20 buck a month thing I'm just being a cheap bastard while I learned might as well be a cheap
378. 1:20:49bastard while you learn, right? And then I said I thought it would be cool to come up with
379. 1:20:56some sort of index if we could actually measure based on sentiment on things like x and red it
380. 1:21:03Where people are in the great repurpose like where we are in the sophistication of the adoption of AI like it feels
381. 1:21:10to me like that could be very valuable data and So I had Adam help me come up with a Methodology for how we would
382. 1:21:20measure that I gave him the broad ideas. Wait run live analysis. Okay, it looks like it It It looks like this is still dummy data
383. 1:21:45even though the analysis RAM I I don't want a button. Well, let's see.
384. 1:22:01Take the data that was captured and connect it to the front end site and give me a clear input.
385. 1:22:22Indicator how fresh the data is. And yeah, let's just start with, let's just do that. All right.
386. 1:22:38The great never applied in the first place. Kyle, is that $20 a month plus the $200 a month for Claude and OpenCloth?
387. 1:22:48No, right now, the only thing I'm paying 200 bucks for is Perplexity, which I'm gonna undo that for because I was
388. 1:22:58paying 200 bucks a month for Perplexity to get access to Perplexity computer, which they now made available to everyone.
389. 1:23:06But I might keep that one because now they've got this thing called Perplexity Personal Computer, where it's
390. 1:23:12basically OpenCloth, an OpenCloth-like thing running on a Mac mini that uses all the Perplexity analysis. So I might play with that.
391. 1:23:24No, I'm just paying 20 bucks a month for OpenAI and that's what I'm running Adam on. Implementing live data set freshness indicator.
392. 1:23:46Error, the app encountered an error. Yeah, I bet. Fix the data pipeline, the front end now properly loads. Does it?
393. 1:23:55Because it says it got an error. Enhanced parameter freshness indicator, loading preview.
394. 1:24:09Looks like there is a bug. Fix it. (Laughs) Why can't AI just make its own LLM and go free without API cost?
395. 1:24:23Telling us about Perplexity computer. Okay, so Perplexity computer as of two days ago, really
396. 1:24:30frustrated the shit out of me because I had all these connectors connected, but it didn't use them.
397. 1:24:38It was like, I don't have access to Google Drive. I'm like, I got a thing here that says I'm connected to Google Drive.
398. 1:24:45I don't know, I don't know what you're talking about. And then today I went and it had me log in. In fact, we can go look at it.
399. 1:24:55That's that. Let's see, let's go to Perplexity.ai, computer, LinkedIn posts about the great repurpose.
400. 1:25:11Did it find anything? I'm checking. I found the LinkedIn connection path connect. Please connect. Let's switch to X. I'm searching X.
401. 1:25:24Why did this not connect? Connect. Try again. All right, this is old. That's not working. I'm searching X.
402. 1:25:39Most of the last two weeks activity about the great repurpose appears to be from you. Add computer to your team Slack workspace.
403. 1:25:54No thanks, not right now. Connectors. So I've got Google Drive, Gmail, Google Forms, Google Contacts, YouTube data, and Discord.
404. 1:26:08So let me try doing a new task. On YouTube, go to at learninglab-ai and analyze
405. 1:26:28the AI learning lab live videos for the past two weeks and come up with
406. 1:26:45three major themes and five trends based on what I said.
407. 1:27:01Like this is something that I have had a fantasy for years. Like one of the reasons I keep dumping content onto YouTube
408. 1:27:09is that at some point I should be able to just search it all. So let's see if Perplexity Computer can do that.
409. 1:27:20I would think it's gonna have me log into YouTube loading skill research assistant recalling prior context, the
410. 1:27:30user, I'm creating a short checklist. Collect AI learning lab live videos for the past two weeks. I'm opening the channels live tab.
411. 1:27:44Go directly to YouTube AI learning lab, navigate to the live tab if needed, identify all the ones published in the last 14 days.
412. 1:27:55Collecting recent YouTube video streams. Oh, look, it's working. There's a little thumbnail of my YouTube channel.
413. 1:28:10All right, so this seems to be working now. So this wasn't working three days ago.
414. 1:28:15It was just like, I don't know, I don't know how to do it. Let's see if this thing's working at all. Check it, it works now.
415. 1:28:25Let me just reload the page in case it just needs to reload, refresh. Reading the cultural weather live seven minutes ago.
416. 1:28:44Go there. The data still looks fake.
417. 1:29:04The TGR index is at 42. And that seems suspicious since it was that before.
418. 1:29:23X is really kicking in with its AI and agents. Yeah, in Groc right now, you can put four agents together,
419. 1:29:32which I did, but it's annoying because now whenever I do a search on Groc, I get four different answers that are based
420. 1:29:42on the personality of my agents. So it's a pain in the ass. I don't like it right now. They're not operating independently.
421. 1:29:51It's just like basically four different prompts. You don't have to purchase tokens. No, my open AI has me buying tokens.
422. 1:29:58And I also have the 20 month. No, if you, I am canine. If you set OpenClaw up with the Codex API,
423. 1:30:14when you go to authenticate the Codex API, it just launches chat GPT and you log into chat GPT and it authenticates it.
424. 1:30:24And it's pulling it out of your chat GPT subscription. Now, there's a nuance to this.
425. 1:30:34In all three of the terms of service for Google, Anthropic and OpenAI, it says you can't do that. Anthropic has started taking a hard line.
426. 1:30:46They're preventing it. And I think they're killing people's accounts if they do that.
427. 1:30:50Google, I think is similarly, like not happy about that. OpenAI, because they just hired Peter Steinberger who
428. 1:30:59created OpenClaw, they're letting people use their 20 a month subscription to do OpenClaw. So I just use it.
429. 1:31:06And then occasionally if I use it too much, I'll get rate limited out, but then, you know, six hours later it's back going again.
430. 1:31:13So that's how I'm doing it. But I'm also going really slow. I'm not using, my agent is not running 24 seven. I'm sort of treating it a
431. 1:31:23little bit like chat GPT right now. I give him some tasks. He does some things for me. He goes and build some shit.
432. 1:31:30I'm going very, very slowly. So if I were doing, if I turned him loose, I would probably rate limit out within an hour or two. So.
433. 1:31:41All right, what did this thing say? So narrative transition 35 adoption maturity, the Mach values.
434. 1:32:00The TGR landing at 42 is a coincidence. Perplexity genuinely scored it a 0.7 times 35, 0.35 or times 35, approximately 44 rounded to 42.
435. 1:32:20That doesn't make any sense. Signals. All right, well, I built a crappy app.
436. 1:32:59I built a crappy unusable app. Thanks Adam. I'll keep working with Adam. I'll have him figure it out.
437. 1:33:14This is dumb. We're not going to do the dumb thing, but I am going to go. What'd you do last night? I don't want to talk about it.
438. 1:33:29What'd you do? I watched a guy try to vibe code something he didn't understand. Okay. Why'd you do that? I don't know.
439. 1:33:38I thought maybe figure it out. Office hours tomorrow. Oh yeah. Tomorrow's Friday. I can't believe it's Friday already. Tomorrow's Friday.
440. 1:33:45Office hours is at 11 a.m. So if you go to the community.thesalon.ai here, I'll pop it up on screen.
441. 1:33:52I don't have a, what you might call it there. I don't have me a. (Mumbles) Sham. Is this it? Yeah. There you go.
442. 1:34:07Go right there. community.thesalon.ai. And then look up office hours. Come join us tomorrow for office hours.
443. 1:34:17Tomorrow night's Friday night, date night. There's the theme of the month in the AI salon is motion.
444. 1:34:23There's a contest in the business community. So go into the business community or just search for motion and go play, go play.
445. 1:34:33I have open AI and an anthropic both active and open clock pulling from both for token use.
446. 1:34:39Yeah, what I'm looking to do, I am canine is get myself, I'm probably gonna get a 48 gig Mac mini with the bigger processor
447. 1:34:52so that I can run probably a 9 billion, maybe a 14 billion parameter model of the new Qwen, the super optimized Qwen
448. 1:35:01models that'll run pretty quick on it. Because I wanna run for story vine. I have to run everything locally because we have pharma clients.
449. 1:35:10So we can't be sending shit to open AI because they suck. So I don't know. I mean, listen, here's the deal with
450. 1:35:21all of this open claw shit right now. If you're not doing it right now, don't worry about it. Within three months,
451. 1:35:30there are gonna be 27 different versions of these things. This is gonna be like custom GPTs, except they're gonna be a lot more of them.
452. 1:35:46And even though you can create a gem over there and a custom GPT over there and a project over there and a thing
453. 1:35:54over there, they're all basically the same thing. That's what's gonna happen with these agents. The reason to be playing with
454. 1:36:00it now is there's a mental shift that you have to make with these agents, which is you're
455. 1:36:07shifting from, I'm gonna prompt it and get back a response to I'm going to create an entity that I'm then gonna manage and lead.
456. 1:36:19And that entity may create other agents or I may create other agents. And then I'm gonna be managing a team.
457. 1:36:27And so what it requires you to do is understand what you wanna get done. It's just a completely different mindset.
458. 1:36:35Prompt of the week is in the community feed, beautiful. Let's go look at that really quick. Community feed.
459. 1:36:47Oh, and then Saturday, Noemi is doing a, build and ship a self-hosted app with anti-gravity. That's gonna be really cool.
460. 1:36:58So Noemi has built an iOS app. It is live in the app store. She's gonna teach you how to do it. That's a great statement, Kyle.
461. 1:37:07Hope you'll mention that tomorrow. Wait, what statement did I, wait, source camp, what did I say? I have no idea what I said.
462. 1:37:18What did I say? Was it good? Did I say something good? Please, please. You're a rockstar at managing your own agents. Noemi is the 21st.
463. 1:37:28Oh, it's not this Saturday. Sorry, 21st. Community feed. Let's go see the prompt. Prompt of the week.
464. 1:37:44Green means grow, create something. Here, let me show my screen. (Whistling) Create something inspired by the
465. 1:37:53idea that growth is a form of motion. Seeds pushing through soil, cities growing upward, ideas spreading, fortunes changing.
466. 1:38:02Let green growth and luck guide your interpretation. Make anything you want, an image, a short story, a song, a
467. 1:38:09short video, an animation, an experiment, or an interactive piece. Guiding question, what does it look like when something
468. 1:38:16small suddenly starts to grow? Share what you made and tell us. Was it luck, effort, or momentum that made it happen? Beautiful, love it.
469. 1:38:27You made us yawn. (Laughing) What have you used to build all your agents? Sourcecamp.
470. 1:38:40Oh, the mind shift from where we're going to, from, yeah, from where we've been to where we're going
471. 1:38:48is a, that's the shift we're about to make. That's the one that's got me all fucked up.
472. 1:38:55All the shit we learned doesn't matter because the agents are going to go do all that shit.
473. 1:39:01But knowing what the agents can do, knowing what's possible means that we're going to have an advantage because we know what's possible.
474. 1:39:11I think, I don't know, I don't know. Okay, I'm leaving. I'm going. Peace out. Come to office hours tomorrow.
475. 1:39:21Come to Friday night, date night, tomorrow night. I don't think there's anything Saturday. No enemies next week. Beautiful. Fantastic.
476. 1:39:30Kyle, office hours tomorrow. Ken, will we discuss the Abundance 360 conference this week?
477. 1:39:37Peter Diamandis and all because they made a lot of claims about agents and robots in the past couple of days.
478. 1:39:42I'll take a look at it before the thing tomorrow. I have the summaries of all three days and can send that to you.
479. 1:39:48Peter's AI agent took and sent notes to everyone. Sure, if you want to send me, just send me a link to
480. 1:39:55something, throw it in a Google doc or something. It's MC. Okay, yeah, that's fine. I'm probably not going to read, like, here's the thing.
481. 1:40:04Anyone that sends me long amounts of shit, I am not going to read it. I have ADD, I'm not going to read it.
482. 1:40:11But if you can consolidate that into, here's some points that you find interesting and why, that I can pay attention to.
483. 1:40:18So yeah, come to office hours tomorrow. There's a lot. I'm going to go look at Dario Amade, the anthropic post.
484. 1:40:37Like Dario Amade in the past two weeks has basically been saying shit's coming and it's coming sooner than you think.
485. 1:40:47If you haven't read it, go read Dario Amade's article. Oh shit, what's it called? The Grace of Loving Machines, hang on a sec.
486. 1:41:02Dario Loving Machines. Oh, Machines of Loving Grace, that's what it is.
487. 1:41:16If you haven't read the article, go read Machines of Loving Grace, where Dario talks about having a data center full of
488. 1:41:23a country of geniuses in a data center and what they're going to be. And what he's saying is, what he talks about in that
489. 1:41:30article is coming much sooner than we all realize. The AI emotional roller coaster is real. I want to be there, I'm still in the
490. 1:41:39hospital, so I get interrupted a lot. Well, please, please feel better. Please feel better, Cam. Wishing you all the love, all the support.
491. 1:41:47If you can be there, great. If not, they get recorded, it'll be in the salon, so you can check it out. All right, everybody, beautiful.
492. 1:41:57So come there tomorrow and come to Friday night, date night, tomorrow night. And I will try to have some thoughts for office hours.
493. 1:42:08But we might just turn it loose on the community, let the community drive the conversation. I think that might be a good one.
494. 1:42:14I've driven it the past two weeks. All right, peace out, everybody. Bye.