05/11/2026 - OpenAI Launches a Four Billion Dollar Deployment Company to Help Enterprises Scale

Transcript

1. 0:27Heat.
2. 0:46Heat. Welcome, welcome, welcome, welcome
3. 1:00everybody. How is everybody doing? Welcome to the AI learning lab live. What is shaking? What's going down good people?
4. 1:11All right, we're in here. Kelly Camp is in here. Sharon Crawford, just as I was learning how to slow down the AI
5. 1:16business I've been waiting for for three years just kicked in. I haven't seen the video game in a while. That's awesome,
6. 1:23Kelly. I'm really thrilled for you, Kelly. Scary, too, I imagine. Yeah. Yeah, exactly. Just as you're getting
7. 1:29exhausted of not having enough business, you're going to get exhausted of having too much. Um, but by the way, Kelly, uh,
8. 1:38one of the things that we'll be talking about tonight, um, I think could be very interesting for what you're up to.
9. 1:47Um, but we'll see. But I but I just I I have a I have a sneaking suspicion. So, it looks like Kelly has been paying
10. 1:55attention to what's going on with Open AI. So, won't be a surprise to her. But, um hang on a sec. Let me get all my devices managed. And
11. 2:07>> you can make money with >> that's that's about to happen. I think we we are in we in just bonkers times. Bonkers times. Bonkers. Bonkers.
12. 2:21Bonkers. Okay, welcome. So, it's Monday. My name is Kyle Shannon. This is the AI learning lab. Welcome. Hello, Ivan. How
13. 2:29are you? Um, welcome to the AI Salon. If you're new here, if you're new to the live, if you're new to the live
14. 2:36streaming in the AI salon, if you're new to the AI salon, be sure to check out uh I don't know which side of me it's on.
15. 2:42So, here's a question. For those of you that have been here before, is all the navigation for the AI salon, is it on
16. 2:49the side of where my name is, or is it on the side where the AI learning lab logo is? Where's the Where's the
17. 2:56left-hand navigation of the salon? Which one? Right. Right doesn't help me where my name is or where that thing is.
18. 3:08Problem is, I don't know right from left. If my image is being flipped, it might be backwards for me. Anyone? Buler. Buler. Buler.
19. 3:20It's nowhere on an iPhone. All right. I guess we got some people from from iPhone sticking here. Chat on
20. 3:29your left. So over here on where my name is. Your name is on the left. Icon is on the right. Okay. Name's on the left.
21. 3:37Okay. So it's left. So, it's here. So, if you're on if you're on desktop, go check out all of the different spaces in
22. 3:46the AI salon at some point tonight. Um, okay. We can read Monopoly. Oh, yeah. That's Wait. Okay. If you can read
23. 3:53Monopoly, that's backwards for me. Other left. So, the navigation is over here. Is that correct? Underneath the AI Learning Lab logo.
24. 4:08That's where the navigation is for I I I I'm exhausted. I'm exhausted.
25. 4:22Producer Brandon entered the studio. Hey, producer Brandon. Okay. Todd Waller is the first one. Right. Wait. Right.
26. 4:29Other left. Right. Correct. Okay. Over here is the navigation for the AI salon. Over here. Who's on first? Yeah, exactly. This is
27. 4:39This is This is We need Producer Brandon in here. Something terrible. I was just trying to tell the good
28. 4:45people. Producer Brandon where where the stuff is over here. Okay, so here's what we're going to talk about. I have you on
29. 4:50my live. Very nice. It's like teaching kindergarten. No, Kelly, it is much worse than teaching kindergarten. That's correct.
30. 5:03Oh, man. kindergarteners, you expect to be playing with spitballs. Upstanding professionals, you know, come
31. 5:14on, you are irregular. So, there's that. Okay. So, so here's what we're going to talk about tonight. And we're going to dig into some some
32. 5:24detail. I want to go I want to go read about this stuff and think about it. We we'll read it together and we'll talk about it. But
33. 5:33so there there have been rumors that there's going to be some new stuff this week. It looks like there's going to be
34. 5:37some new stuff next week. So producer Brandon, one thing that I didn't put in our little X channel, the direct channel, is I want
35. 5:47to go look at the video from the new Gemini model, which if if the video is in fact from the new Gemini video model, it's flipping crazy
36. 5:58what it's doing. So it's so so we're going to go we're going to go talk about that. But um OpenAI today made two major announcements
37. 6:09that one is the um the announcement of a a new company to deploy AI.
38. 6:24And so it's a combination of investment banks and big consulting companies. Um so we're going to go look at that in
39. 6:31detail and it's got some really interesting components to it that I think there could be a lot of opportunity especially for people that
40. 6:39you know know how to talk about this stuff, know how to deploy this stuff. I think one of the things that's probably
41. 6:44going to be highly overlooked is the kind of stuff we're talking about with the great repurpose the the the me meaning and identity stuff.
42. 6:52Um, so I think there's some big opportunity there. And then, yep, Gemini is getting better. And then the other the other
43. 7:03thing that they announced today was a cyber security initiative. Um, that is I think the slicker version of
44. 7:14what Anthropic did with the Mythos release, which I thought the the Anthropic announcement of the Mythos release was kind of
45. 7:26I don't know, cheesy. It was cheesy. The Gemini Voice on iOS app is great and free. Yeah, Gemini is getting better. Um,
46. 7:38the new real time voice for chat GBT has gotten better and it's really interesting. Um, the new mirror moratti company
47. 7:50has a real-time voice, real-time translation. What what blows my mind about all these frontier model companies
48. 7:56is they're all launching the exact same features at exactly the same time. So, and two months after that, China
49. 8:05will be there with the open- source free version of it. It's been like that for three and a half years. And I don't I
50. 8:10don't see it changing. I don't quite know. I assume this is because they just keep hiring engineers and engineers keep
51. 8:17moving from from frontier company to frontier company and they all just >> their intellectual property is just all over the place. So,
52. 8:25>> um Oh, yeah. Lovable has a new interface builder, right? Like their their Yeah. Can you make the Can you make the
53. 8:33purple? Oh, I can. Never mind. I got it. Here. Okay, good. Perfect. Perfect. Wait, how do I click out of this?
54. 8:46Oh, you need to click off of Lovable Aesthetics. Um, yeah, Lovable's got a new uh a new thing out today. Um, that
55. 8:54apparently their interface is getting better. I didn't think their interface was all all that bad, but apparently
56. 9:00it's getting better. Um, I've heard that there's going to be a new open AI design tool. So, last week or the week before
57. 9:09we got the clawed design tool. So, again, all these companies are releasing all this stuff. But the thing that I
58. 9:17think is important for us to look at tonight, let me share my screen.
59. 9:37Oh, I did a cool little Look at my cute little new avatar, dude. So, so this is frustrating. I don't know
60. 9:44if there's anyone if if Gareth's in here, if anyone knows what the hell they're doing, but in OpenAI's codeex,
61. 9:52they added a new thing called pets. And apparently you're supposed to just be able to slash pets and your pet shows
62. 10:00up. Didn't work in mine. And I did all this install stuff and I followed tutorials and I even made myself a
63. 10:06custom pet that looks like me and and Codex did this remarkable stuff. In fact, let me show it to you. I have Codex open here. Um,
64. 10:18if I go to settings and then I go to appearance, then I scroll down here and I click on pets, I scroll all the way to the
65. 10:26bottom, I've got this this pet, Kyle, a fun, relaxed guy who celebrates when good things happen. So, that's me. But if I go over to find a
66. 10:39go here and I go let's see I go here and I go users and I go story vine and let's see
67. 10:57Here. I lost something.
68. 11:27H. Well, the thing I wanted to show you, I don't know where it is now. It got It got moved. It looks like Codex moved something.
69. 11:39Anyway, it made all these animated sprites for this little character. But anyway, when I when I'm in when I'm in
70. 11:44Codeex, um, it I can't get that little dude to show up. So, I don't know if anyone knows how to do that. But if I
71. 11:51type in slash pets or slashpet and hit return, nothing happens. I get no little dude. I don't know how to get my little
72. 11:59dude. Anybody know how to get my little dude? It's an acknowledged bug that it doesn't show up, but I can't ever I
73. 12:04can't seem to figure out how to fix it. Anyway, okay. Back here. So, let me go to I can see clearly now the rain is gone.
74. 12:24Okay, so May 11th, 2026, OpenAI AI launches the OpenAI deployment company to help businesses build around intelligence.
75. 12:36OpenAI has agreed to acquire tomorrow. Tomorrow, giving the OpenAI deployment company experienced forward deployed engineers from day one.
76. 12:50OpenAI is launching the OpenAI development or deployment company, a new company here. Let me make these bigger
77. 12:55so you can read it. It's kind of crappy. Let me try logging in. That's fine. Um,
78. 13:11the Open AI deployment company will extend OpenAI's ability to embed engineers um specialized in frontier AI
79. 13:20deployment known as forward deployed engineers or FTEEs into organizations working on complex problems in demanding
80. 13:27environments. These FDEEs will will work closely with business leaders, operators and frontline teams to identify where AI
81. 13:35can make the biggest impact. redesign organiz organizational infrastructure critical workflows around it and turn
82. 13:42those gains into durable systems. Okay, so we're now entering a new phase of chat GPT where so here's here's what this signals to me
83. 13:57is that the models that are coming are about to be really flipping good like G GPT6 or you know whatever the you
84. 14:09know mythos from from anthropic right it's it's so good it's so powerful we can't give it to you. Um, so that's kind
85. 14:17of what this says to me and that and that it's going to be worth companies time to really do this right and it's not
86. 14:27going to be obvious how to do it right. And so they're going to put together these these they've put together this
87. 14:33company to be the services component of you know their token selling operation in connection with the OpenAI deployment
88. 14:42company's launch. OpenAI has agreed to acquire tomorrow, an applied AI consulting and engineering firm that helps enterprises turn AI into
89. 14:50operational advantage. The acquisition will bring approximately 150 experienced FTEEs and deployment specialists to the
90. 14:57OpenAI deployment company from day one. So they're starting with 150 people. That's going to grow very very quickly
91. 15:05because listen, the OpenAI deployment company is a committed partnership between OpenAI and 19 global investment
92. 15:12firms, consultancies, and systems integrators. The partnership is led by TPG with Advent, Bane Capital, Brookfield as co-leading founding
93. 15:22partners and B Capital, BBVA, Emergent Capital, Gana, Goldman Sachs, Soft Bank, Warbert, Warberg, Pinkis, and WCAS as
94. 15:31founding partners. Investors also include leading consulting and systems integration firms including Bane,
95. 15:40Capgeemini, McKenzie. The deployment company will work closely alongside OpenAI's frontier alliance partners and
96. 15:47the broader industry to drive a AI adoption. Um, the OpenAI deployment company is a majority owned and controlled by OpenAI.
97. 15:58Majority owned and controlled by OpenAI, giving customers a unified experience whether they work with OpenAI, the
98. 16:05deployment company, or both. Now, here's the thing where I think there's some interesting opportunity for all of us.
99. 16:13It will launch with more than $4 billion of initial investment, which it will use to scale operations and acquire firms
100. 16:21that can accelerate our mission. So they're starting with 150 people and they've acquired this company and I
101. 16:30don't know if the acquisition of that company comes out of the four billion if the four billion is on top of that but
102. 16:36they're investing in acquiring firms that can accelerate being able to deploy um to different companies. Now couple of
103. 16:45interesting thoughts on that. If you're dealing with companies like Bane, Capgeemini, McKenzie, these are big, big systems integration
104. 16:55firms, big consulting firms, they're not going to wipe their butts for any company that's less than, I don't know,
105. 17:0320,000 employees, 50,000 employees. Like, these are going to be big engagements, big money. There are a lot of companies out there
106. 17:12between, you know, a,000 and 10,000 people, between 10,000 and 50,000 people. There's a tremendous amount of
107. 17:19opportunity below where these guys are going to start. My instinct is that a lot of this $4 billion will will go for filling in the
108. 17:36opportunity gap, right? So, they're going to start with the high-end customers, but everyone's going to need
109. 17:42AI, and everyone's going to need to figure this out, and no one's got it figured out, right? Um, why deployment matters. Open AI was
110. 17:53founded as a research and deployment company. From the beginning, we've believed that building powerful AI
111. 17:58models is only part of the work. The real impact comes from helping people and organizi organizations use those
112. 18:04systems safely, effectively, and at scale. Over the past several years, when more than a million businesses have
113. 18:10adopted OpenAI's products and APIs, across those deployments, one pattern has become increasingly clear. The next
114. 18:17stage of enterprise AI will be defined by how effectively businesses can deploy this technology into real world use
115. 18:24cases and how well our alliance partner ecosystem can help them. Right? So, if a bunch of companies go,
116. 18:33"Hey, we bought you all chat GPT. Good luck." which is essentially what's happened up to this point. And they're like, there's no ROI. Yeah.
117. 18:42No one knows what to do with it. You dumb dumps. No one knows what to do with it, right? Are you using it in the
118. 18:51seauite? Are you using it, you know, in senior management? Do you even know what this thing is that you've given to people?
119. 18:58Um, building where the frontier is headed. We launched OpenAI deployment company as a standalone business unit.
120. 19:05So it can develop the operating model pace and customer focus this work requires the operating model pace and
121. 19:13customer focus this work requires. Right? So if I'm reading that right, it's like shit's going to be moving
122. 19:19faster than Fortune 500 companies can deal with it. It's likely going to be threatening business models, operating models,
123. 19:28and it's probably going to change how customers engage with companies, right? So, this is this is a smart move,
124. 19:37wholly owned delivery, right? And this is like we've seen this before, right? IBM's done this for years.
125. 19:45At the same time, it will operate as an extension of OpenAI, keeping customers closely connected with research,
126. 19:50product, and in-house deployments. Right. So, so their best customers will get the best models. Streamyard comment. Let's see. Let's
127. 20:00jump over here. Um, Chris Bruno, I feel seen. I know, right? But what does it all mean, Kyle? This is exactly the focus of what I'm
128. 20:14doing now. Exactly. Exactly. Hi, Kelly. This is Chris. So that's what I was sell saying, Kelly, that this is so just like you're seeing your
129. 20:25company accelerating um or demand for your services accelerating, if you do it right, you'll likely bring on other consultants. If
130. 20:34you do that right, you'll likely, you know, sort of ladder up to different kinds of clients and things like that. um
131. 20:42the demand for people who know how to approach AI, I think, is about to get insatiable, right? So, as as the models get better
132. 20:53and better and better, people are going to be like, "What do I do with this? What do I do with this?" Anybody buler
133. 20:59little bit? Any any help? Any help? Um so, I think there's really big opportunity here. Um yeah, let me flip
134. 21:07back over there. Oh, it killed my killed my screen share. I need to change my career. Cam Katkin, I'm late. What's the topic tonight? So,
135. 21:22the topic tonight is um this this Am I sharing this correctly? Yes. um this article from OpenAI or not this
136. 21:37article but they they basically are launching a deployment company so let's see let's go down here accelerating deployment okay wait here
137. 21:48we go let's see all right we launched the open AI deployment company as a standalone business unit at the same
138. 21:54time open AI will operate as an extension of open AI you know favoring customers so basically how open AI works right now is if you
139. 22:04don't spend whatever it is a million dollars a month with them, they don't care about you. It doesn't matter.
140. 22:10Whatever you just, oh yeah, we promised you a chat GP custom GPT store. Sorry about that. Piss off. Right. So if
141. 22:18they're if you're spending 10 $10 million a month or more, they'll pay attention to you. Now, what they're
142. 22:23laying layering on top of that is if you spend 10 million or more a month and you've you're using our deployment
143. 22:30company, then we'll really pay attention to you. So, so we've seen this model before. Um, the connection is a major
144. 22:38advantage. The OpenAI deployment companies, FDEEs, forward deployed engineers will be able to build for
145. 22:45where OpenAI's frontier capabilities are headed, giving customers systems designed to improve new models improve as new models, tools, and
146. 22:56deployment patterns come online. customers can move faster from day one, spend c capital on durable systems, and
147. 23:04stay ahead of competitors by building around the capabilities of what's coming next. So, I want to I want to pop
148. 23:10something up here that I've talked about a fair amount of times, but I still think it is worth looking at again.
149. 23:24and and why why again I think this is smart. Okay, so the seven economies.
150. 23:47So if you don't know the seven economies the this is this is basically a model that got invented here on the AI learning lab live
151. 23:55that was the answer to the question I I said things are about to get weird and Kelly Camp said but Kyle what does weird
152. 24:01look like and this the result was this that as we've got AI accelerating away from us and as most people don't even
153. 24:10know what AI is that that the world is going to kind of shatter splinter into these different economies
154. 24:16largely based on level of AI adoption. So one of the things one of the places my head has been is so so just quickly
155. 24:26the four economies to the left are basically business as usual with a little bit of AI adoption. So the analog
156. 24:33economy is screw it I'm going to go grow blueberries. The legacy economy is I'm not going to deal with AI AI at all.
157. 24:40We're just going to run it how we've we've always run it. Economy three is the efficiency economy. We're going to
158. 24:45use AI a little bit to make what we currently do more efficient. And then the transition economy is we're going to
159. 24:51do some innovation, but we're basically going to keep doing what we were doing before in the same model.
160. 24:57Economy five is a really interesting economy because what economy five says is I'm going to take a going concern
161. 25:05like I'm going to take an existing company that's already got revenue. It's already got customers. It might even
162. 25:10have profit and I'm going to burn down the org chart. I'm going I'm going to try to anticipate what AI makes
163. 25:18possible. I'm I'm going to try to anticipate how I'm going to survive and flourish with AI moving forward. Um, the
164. 25:27only company that I know that is aggressively doing this right now is Jack Dorsey's Block. So, the guy that
165. 25:33founded Twitter is he he laid off 4,000 of 10,000 people. He's replacing middle management function with AI and then
166. 25:43basically putting all the people around the edges of the organization to interface with other human beings and
167. 25:50use the human beings for intuition and and work and use the AI as a traffic cop basically. Um, so the thing that I've been trying to
168. 26:02get my head around is how are these econ how are these companies in economies 2, three, and four going to have the
169. 26:08foresight, the insight to really understand what AI makes possible and what's coming because economy six are
170. 26:17like small little nimble companies of like 5 to 10 to 20 person um full AI AI native companies that are going to
171. 26:25completely reinvent how economies 2, three, and four work, right? They're going to go compete with them. So, at
172. 26:32some point, if if the companies in economies 2, three, and four really want to survive, they're going to have to
173. 26:38flip into economy 5. So, does that take them a decade to do or can they do that in two years? And and what I would argue is that what OpenAI
174. 26:48announced today with with the deployment company is is that in theory, if they do this right, and if this company's right,
175. 26:58in theory, if your company is working with this deployment company and you have access, you know what's coming
176. 27:04sooner than other people know what's coming and these people have their [ __ ] together, they're going to help you say,
177. 27:09"Here's what management looks like for companies that are all AI. Here's what business models look like, right? Here's
178. 27:14here's all of the things that are coming and here's where you are. So, how do we get you from economy 3 to economy 5?
179. 27:23All right, let me go look at a pin. There's a pinned comment. Uh, let's see. Hide. What's that say? Oh, I want to
180. 27:35consult for economy 5 companies and build an economy 6 company. Come join me. There you go. Mary Carol is is a big
181. 27:45systems thinker, understands this world, understands all this stuff. Here's the thing, Mary Carol, about economy. Five
182. 27:52companies are going to be really rare right now. They're going to be very rare, right? It's taking an existing
183. 27:59company that's got some amount of resources and and having leadership that's willing to burn down the org chart. So my my
184. 28:08advice would be aspirationally shoot for economy five, but start with economy three and four. I think most companies right now, if
185. 28:17they're using a AI at all, are probably economy 3 companies. and how you get them to transition from that to even
186. 28:25thinking about economy 5. That feels like that could be a year just to figure out where they are, where their pockets of AI brilliance are,
187. 28:35what competition's going to look like in the future, what an economy 5 company would look like, how we would, you know,
188. 28:42what would need to transition. And then to your other point, the economy six companies, those are going to be a blast
189. 28:49because they can just invent, you know, that sector from the ground up and just say, "Here's a new way to do it."
190. 28:56All right. And I'll take care of all the business that OpenAI doesn't care about. That's that's my point is I think that
191. 29:02because they're starting with Bane and McKenzie and these big ass consulting firms, they're going to start with the Fortune
192. 29:09500, Fortune 1000. there's a lot more small, medium, and big companies that that do not hit that target market.
193. 29:18Um, I mean, this is this this the initial customers of that deployment company are going to be like, are you
194. 29:25willing to spend $500 million a year, a billion dollars a year, then we'll then we'll really come help you. If not, good
195. 29:34luck. Here's chatgbt.com. Just ask it yourself. Where can I learn more about the economies? Um, I've got Champ.
196. 29:50What's going on? Um, there's an article on LinkedIn, Ivan, that I wrote about the seven economies, and I've got a couple of
197. 30:00videos about it. I think there's a video in the AI salon. I don't know if if producer Brandon if if did I put a clip
198. 30:07of the seven economies in the salon? I think I may have but I can't remember. Oh man. Okay, so this looks different on mobile.
199. 30:28Why can I not see I can't see pinned comments. Strange. Andy's in the house. What's happening?
200. 30:44There's so much opportunity right now. Commercial break. Pin up on screen. Oh, pin equals up on screen. Ah, got it.
201. 30:54Okay. Um, okay. So, it's 8 o'clock. So, um, one of the things that I would strongly encourage you to do
202. 31:08is now that you're in the AI salon, start participating. If you haven't introduced yourself, over here toward the top is a
203. 31:18space called introduce yourself. Go do that. Introduce yourself to the the to the community. What I would also
204. 31:27request if you've been in here a while also go to introduce yourself and scroll down through people who've introduced
205. 31:34themselves and welcome them. One of the amazing things about the irregulars and the people that show up to this channel
206. 31:40night after night after night is how welcoming and accommodating and generous you all are. And so what I'd like to do
207. 31:46is start to get that energy happening inside the AI salon. So a fair amount of people have have joined recently. Some
208. 31:52have introduced themselves. So go into the introduce yourself section and and join. Um the other thing that you should
209. 31:59think about doing is creating work and sharing it. Sharing sharing it in look what I made or in the community feed or
210. 32:05the community chat. Just get your work out there. Start putting yourself out there. You'll also notice there's a space um
211. 32:13called the AI salon mastermind. And the mastermind is a subscription area of the salon. It's got a lot of stuff going on
212. 32:21it. We've got the practice the the AI salon mastermind practice which is a daily practice about um being more
213. 32:29intentional about how you use AI. Um one of the things that was was mentioned both in the pre-show and in the show
214. 32:38here is that things are moving so fast right now. It is so overwhelming right now. The people in the AI salon
215. 32:46mastermind that are doing this daily practice. So we meet once a week um to work with each other about how you doing
216. 32:53on your practice, what's your practice looks like, what does it feel like. Um all of those people are are slowing
217. 33:02down, right? They they are not incapacitated by the insane productivity gains of AI, right? I think we all have been. I think
218. 33:13one of the things that's happening in the AI salon pretty consistently is people come in, they get excited,
219. 33:18they're like, "Holy [ __ ] I can do all this stuff. Look at all this stuff I can do. I'll do this stuff. I'll do that
220. 33:22stuff." I was one of those. I was leading the charge. I was the little pied piper. Let's go make musicals. Let's go do
221. 33:29this. Let's go do that. It gets to the point that you literally can't keep up with it. Even your own ideas because it is a friction-free
222. 33:41environment. AI is frictionf free, right? You have an idea, boom, there it is. That's one of the brilliant things
223. 33:47about it. It's also one of the curses of it. So, if you haven't joined the mastermind, please do. Um Andy
224. 33:53Scarantino, who's here tonight. Yeah. Productive to the point of incapacitation. Um she's midway through a a workshop on um decoupling your
225. 34:05identity from your job. And tomorrow is week three and we're talking about the goop phase. So, so if you haven't joined that
226. 34:16workshop, if you're in the mastermind, um, tomorrow's going to be a fun one. And the goop phase, if you don't know,
227. 34:24you got you got yourself a caterpillar and then they put themselves in the cocoon and then they emerge as a butterfly.
228. 34:32Well, I didn't know this. I should I don't know why I didn't know this, but I didn't know this. But in between those
229. 34:38two forms of life, they basically disintegrate into goop. They are nothing. They're no longer caterpillar. They're no longer They're not yet
230. 34:48butterfly. They are goop. So, as you decouple your identity from your work, it's going to feel like goop. It's not
231. 34:56going to feel great. It's going to feel weird and unfamiliar and things like that. So, that's what we're talking
232. 35:00about tomorrow. That's what Andy's going to lead us through tomorrow is the goop phase, which I'm really excited about.
233. 35:05So, if you haven't joined the mastermind, good time to do it. The great repurpose, there's a lot of content in there. There's a lot of stuff
234. 35:11coming. Um, and anyway, and just just whether you join the mastermind or not, that's irrelevant to this conversation.
235. 35:19My request, my my deep request, start participating, start connecting with one another, start building trust, start building relationships.
236. 35:30As AI accelerates, people are going to get increasingly panicked. What do I do? What do I do? What do I do? What do I do? What do I
237. 35:37do? There's going to be all this noise. Just like there's all this noise of like, I've made too much crap. There's
238. 35:41going to be all this noise of people going, what do I do? What do I do? Get in community. build some trusted
239. 35:48relationshipships, form small little cohorts within the AI salon. All right, that's a lot of what the purpose of of
240. 35:55the AI learning lab has served as is a little sort of cohort incubator. So there's a lot of really powerful
241. 36:02relationships in the AI salon that were largely formed in the comment section of of these lives. So okay with that
242. 36:11the other thing that we should talk about is we have a monthly theme for the AI salon and the theme for May is
243. 36:17momentum. So, if you go into um the community feed and then I think also where else is it is it's it's in community feed and it's in
244. 36:27announcements, Brandon. But the the theme of the month for for May is momentum. And Brandon puts out a weekly prompt about go prompt
245. 36:39your things you're doing. Start thinking about momentum and what that looks like. All right? We're building [ __ ] We are.
246. 36:49Oh, that's right. And then Brandon there's there's so much stuff. The other thing in the mastermind is Brandon is
247. 36:57now he did his kickoff week. He's got a four-week sprint um teaching lovable. So if you want to learn about vibe coding,
248. 37:05if you haven't ever vibe coded your own application, it is insanely cool. It is insanely cool. You're like, I I have
249. 37:15some idea of some application I could make. And then you go to lovable and you put it in there, it's like out it comes.
250. 37:22It's mindblowing. What's what's powerful about doing it with someone like Brandon who's made probably, I don't know, 30 or 40 or 50 apps,
251. 37:32is that he can tell you all of the things that are going to be frustrating for you and help preempt that
252. 37:37frustration. In fact, session one of the lovable workshops, they didn't make anything. They didn't make any apps. He
253. 37:46spent the entire hour getting people to think about what do you want to do? Be intentional about what you're trying to
254. 37:53create. Um, AI life hacks is on Wednesday. There's just a bunch of stuff. So, go in the upper right hand
255. 37:59corner over here is the events tab. So, go look at all the events coming up. And then if you're not in the mastermind,
256. 38:05I'd consider joining. There's a bunch of stuff there. Okay. Woo. Beautiful. Um, okay. Let's let's flip over to another another moment,
257. 38:21another thing that was announced today that I think is worth us looking at. Okay. So, not only did open We all good. Does
258. 38:34anyone have any questions? Any questions about the salon? Any thoughts about the salon? Anything anyone wants to talk
259. 38:39about before I move on? You're all good. Cool. Beautiful. Okay, back to this. So, not only did OpenAI today announce
260. 38:53the deployment company, the OpenAI deployment company, we're going to help you deploy AI. They also announced Daybreak Frontier AI for cyber
261. 39:06defenders. So introducing Daybreak, Frontier AI for cyber defenders. Dayreak brings the most capable AI models, codecs, and our
262. 39:21security partners to accelerate cyber defense and continuously secure software. So this, as far as I can tell, Let's see. Find and fix any
263. 39:33vulnerabilities earlier with Daybreak. Right? So, if you remember, two weeks ago, three weeks ago, Anthropic launched Mythos. They didn't
264. 39:47launch it. They said, "We've got this new model, Mythos, that is so good, you can't have it." Right? It's so good. what it can do is
265. 39:58it can find all the vulnerabilities and software and so we're going to give it to these 52 companies to go patch all their bugs.
266. 40:06This is kind of a less cheesy version of the same announcement from OpenAI, right? And so in a week where we're
267. 40:14expecting some announcements from OpenAI and next week we're expecting some announcements from uh from from Google. We just had some
268. 40:23from Anthropic. So we're we're in an announcement. We're in an announcement little parade right here.
269. 40:32This is kind of a preempting preemptive thing that says to me something is coming from OpenAI that's an incredibly
270. 40:38powerful model. What Daybreak is is it's going to give early access to the new models to cyber defenders and people
271. 40:46that work on cyber security. Um so if you work in that field uh if you want to do that I think this is probably something to look into. Um,
272. 40:57but again, both of these announcements from OpenAI today say to me that something is about to come in the next I'm guessing it could
273. 41:09be this week, but probably in the next three months, but probably within the next three months. So, where are we
274. 41:15today? We're we're kind of miday, right? So, mid June, mid July. Yeah, probably by mid July, maybe mid August, um,
275. 41:32something's going to happen. Some model is going to drop that's going to be so good that all of a sudden it kind of
276. 41:38opens up these floodgates of like, holy crap, we got to deal with this. We got to and and by deal with this, what I
277. 41:44mean is big companies that are still kind of sitting on the sideline are all of a sudden going to jump in. Um, and
278. 41:52companies like Kelly's are going to get busier fast. And I think it sounds like from what Kelly's talking about, at
279. 41:59least locally in Dallas, that those floodgates are starting to open. If Anthropic drops Mythos and Open AAI drops GPT6 and um, Google
280. 42:14drops whatever their new Gemini, I think it was called, Omnis or Omni or something like that. some big ass new model from them. If
281. 42:23you've got three major companies dropping three major models, um we're going to need to deal with that. And so I think these moves are to do
282. 42:33that. Google dropped a local small model inside of Chrome and people are worried about it. Yeah, I saw that too. So So
283. 42:39let me let me jump back over here for a second. Um there's a there's an interesting post on LinkedIn from from Brent Peterson. And
284. 42:49if you don't know Brent Peterson, you should follow him. Uh he's got a company called uh signal and cipher. Um he's
285. 42:57really smart on this stuff. He's been building um AI agent memory models for about two and a half years. So he's been anticipating
286. 43:06what's just showed up, all these agents that everyone's talking about. Brent has been anticipating that for two and a
287. 43:12half years and building a memory system for how to manage those things. Um he put a post out today about this
288. 43:19new thing that Google did which is sleazy. I know it it's just surprising, isn't it? Cuz Google would never do anything sleazy. Um they um
289. 43:35they're dropping in the installs of Chrome now a four is it a four billion parameter model? a really small large language model
290. 43:47as a downloadable file local to your computer and yeah 4 billion. Yeah, it's it's it's Gemini Nano I think is what it's called.
291. 44:00So they're dropping Gemini Nano into your computer and and the significance of it is this. If you have that local model as part of
292. 44:09Chrome, when you do things like, hey, summarize this page for me. Hey, you know, tell me about this, that, or the
293. 44:15other, rather than having to go out to Gemini and use their big expensive GPUs, they can just run this local model
294. 44:22that's right on your computer and do all of your AI stuff right there. But what they but what can also happen is other
295. 44:30people can now use your model and basically steal the cycles on your computer to run inference run AI cycles
296. 44:40on your little model on your computer. So Brent Peterson has a pretty good uh in fact let me go see if I can find it
297. 44:48now. I'll let you find it or maybe maybe maybe uh producer Brandon can find it. If you can find Brent Peterson's article
298. 44:55on that little model, I thought it was quite uh educational today about about the implications of of what Google's
299. 45:04doing in this non-transparent way. They're just sort of sneaking it into the into the download, which is kind of crappy. All right. Um
300. 45:17got two other things that I want to show you and talk about.
301. 45:33All right, we have ringside seats. I saw that today in GitHub. Cool. Marlene Paul, I made an app this weekend
302. 45:48on lovable for the build for mom. Oh, cool. Nice. Beautiful. Todd Waller, they want us to run mini data centers in our houses,
303. 45:59too. Yeah, shit's gonna get weird, man. Oh. Oh. Oh. Oh, I've got I read this. I read this thing. I can go find the I can
304. 46:11go find the tweet. Hang on. This is crazy. Um, let's see. Uh, what's it called? Um, 5.2. to um data center.
305. 46:28Okay. Can am I sharing? Let's see. No. Okay. Um this is this is brilliant. I
306. 46:44don't know if it's true, but let's let's assume it's true because it's it if he's even done this once, it's [ __ ]
307. 46:50brilliant. I met a guy making $5.2 million a year. Super simple business. He finds a small town. He buys a plot of
308. 46:59land for cheap. And then he announces that he's building a data center there. And then he lets the residents whip up a
309. 47:07frenzy and start pushing back on the data center. He then negotiates with the city to buy back the land for double
310. 47:13what he paid for it. He does he does one of these a week. So I don't know if that's true, but if it is like I would love to have a brain
311. 47:26that just thinks like this diabolically. It's just crazy. Um, you know, hey Podunk, hey Podunk, Iowa, I'm going to put a data center in
312. 47:38your cute little town. The hell you are. And then, you know, city council's like, just just buy him out. Buy him out. Get him out of here.
313. 47:47So So anyway, if you want a quick money-making scheme, there you go, Ivan. You're trying to figure out what to do.
314. 47:52Go buy some land in a small town. All right, let's see. Let's go back to So,
315. 48:07thinking machines, this is Mera Marott's company. Um, and and uh Mera Moratti was the CTO of Open AI and uh didn't didn't get on so
316. 48:23well with with Mr. Alman. She was there for a while though and uh she went off to do thinking machines and so they put
317. 48:30out a video today. So, let me make sure that I'm sharing my audio.
318. 48:51Swing. All right. Hey, I need your help with something today. You ready? Absolutely. I'm ready. What's up?
319. 49:03>> Yeah. So, we're giving an announcement today and I've got two of my friends coming to help. Every time one of them
320. 49:09enters the frame, I need you to say friend. >> Got it. I'll say friend whenever one of them walks in.
321. 49:17>> Cool. So, we've got a new system for full duplex audio and video, which means that uh you can stream input into it in
322. 49:24real time and it can respond to you even while you're speaking to it simultaneously. How does that sound?
323. 49:30Sounds like a solid setup. Full duplex with real-time interaction is super useful. >> Friend, >> hey Roan, I heard you're talking about
324. 49:42our amazing interaction model. I have a few things to add, but to make it interesting, I'll do it in Hindi. Can
325. 49:48you translate in to in English in real time for my friend and for audience? >> Absolutely. I'll translate as you go. model.
326. 50:00Today we're taking a look at our preview model to release it which makes conversation between humans and AI easier. It has
327. 50:09many features like web search and artifacts >> friend. >> Hey guys. Uh I just heard something really cool about search and artifact
328. 50:21generation. Uh, perfect timing for me because just now I was wondering what are a typical humans simple reaction
329. 50:28time for auditory, visual and tactile communication cues. Could you search for me? >> Let me find those typical reaction times
330. 50:37for you. Got it. So tactile is fastest at around 150 milliseconds, then auditory at 140 to 170, and visual the slowest at 180 to 250.
331. 50:46>> Oh, interesting. Can you visual visualize them in a bar chart for me? >> Absolutely. Let me generate a quick bar
332. 50:52chart for those reaction times. >> In the meantime, could you quickly explain to me why is auditory even
333. 50:57faster than visual? That's a little bit unexpected. >> Sure thing. Auditory is faster because sound signals travel a shorter, more
334. 51:05direct neural path to the brain than visual info does. >> Makes sense. Thank you so much. Great chart, by the way. >> You're welcome.
335. 51:14So, and there's there's some other videos there you can go watch. But, um, hang on a sec. Um, okay. So, so what's important about
336. 51:28this? We now have full duplex where you can talk and it can hear you. While it's talking, you can talk to it
337. 51:41and it can hear what you're saying. uh it can translate in real time. We've now got some version of that from Google,
338. 51:49from Open AI. Um they just they just came out with theirs a week or two ago. Now from thinking machines, we're going
339. 51:55to start to see this everywhere. This so this idea of full duplex um real time interaction that are tied
340. 52:02to increasingly smart models, right? So I would think that the quality of interactions are going up. It's funny.
341. 52:11There's a Tik Tok video. There's a Tik Tok channel right now of this dude who just talks to Open AI's voice and he and
342. 52:20it's it's just he he basically talks to it and it's just doing idiotic things like he has it count to a thousand and
343. 52:27it can't or he has it tell tell him how many A's are in the word 14, whatever, and it just fails miserably.
344. 52:36um we're probably going to start seeing those embarrassing fails start to fade away. So, just like we saw pretzel
345. 52:44fingers start to fade away from the image gen models and now they've gotten to the point that we're doing full-on
346. 52:50um reasoning with visual stuff. Um that demo from Thinking Machines was again this this full duplex while I'm talking
347. 53:01it's recognizing what's happening in the video. Another friend just showed up. another friend just showed up. It's
348. 53:06rendering, you know, from whatever it whatever the system is that's running. It's spawning new windows and generating
349. 53:14charts and graphs while you're talking to it. Um, so that's coming. I've talked for a while now about the
350. 53:25idea that world models are coming. And if you think about world models, where my mind goes is things like Unreal Engine 5, where
351. 53:36you've got these powerful um 3D world builders that have physics and game engines and fluid dynamics and
352. 53:46part particle systems and all that sort of stuff built in. my mind kind of goes to a gaming environment, which is really just, you
353. 53:54know, what what Meta spent eight billion dollars on, you know, trying to create the metaverse and they just created like
354. 54:02shitty version of Second Life with for8 billion. Um, I think that the world models are going to get way more sophisticated than maybe
355. 54:15we're that maybe than I'm anticipating. And so a video came out today from from uh rumored to be from Google from the
356. 54:25new Gemini video model. And so we'll watch the video and then on the other side we'll talk about it. Now the disclaimer here is
357. 54:34this may not be the real thing from Google. This might be a fake thing, but we'll see. But if this is real, um, holy
358. 54:46[ __ ] what's coming? Um, and it starts to shift my perception of of what world models make possible. So, so let me let
359. 54:54me go find it and then we will. Okay. Gemini app cooked. Gemini Omni new video model. Here's the first output.
360. 55:08And see the text coherence. If this is not the nano banana moment for video, what is? Okay, so here we go.
361. 55:15>> We start with the fundamental identity. We start with the fundamental identity sin^ 2 + cosine^ 2 = 1. Now if we divide
362. 55:23every term by cosine^ squar, we arrive at the identity for tangent. So, so if this is indeed what's coming,
363. 55:33wait, did I share my screen? Yeah. um if this is indeed what's coming where you know not only is the guy talking but he's he's he's
364. 55:47talking about a math formula that he understands the math formula and is writing it on the board right now is
365. 55:54this real time is this going to take 30 seconds is it going to take two seconds none of that I know but imagine a world model where
366. 56:09you can interact with data in in in in just imagine interacting with data or knowledge in any way that works for you. So like
367. 56:23you know if you're an academic you love professors in front of green green boards writing in chalk and you could
368. 56:30just say make me a professor that's that's explaining this concept to me. If you like Bollywood, you could say, "I
369. 56:37want to learn this same concept but as a Bollywood dance." Or, "I want to learn the same concept sitting swinging in a
370. 56:44hammock by a pond and and you know, someone is sort of meditating uh these concepts to me and the formulas are
371. 56:52being written in the clouds in the sky, right? And then within that, you're going to be able to interact with other
372. 57:00people. And within that, you're going to be able to create things for yourself and share those with other people. Um,
373. 57:15I think that our our interface for for how we do AI
374. 57:31is about to change pretty radically. I think by the end of the year, it will be it will be apparent the ways it will be different. I don't
375. 57:42think it'll fully change for three years, but I think by the end of 2026, we're going to be able to like this
376. 57:49group in particular because we're in this conversation. Play. Exactly, Lori. Play. The reason in the AI salon, we we lead
377. 57:58with play. The reason we say play first is that it is hard for me to imagine the implications of if if I can just spin up a physics
378. 58:15professor teaching me things about physics like I'm looking at a a lecture and at any point I can just shift that
379. 58:24reality or shift the lecture or say hey I don't like looking at the formulas I want to see shapes so draw concepts for
380. 58:33me instead of writing formulas and the professor will be like sure I got you. And I'll start drawing cool shapes and
381. 58:41drawing arrows and things like that. Like what are the implications of that for everything? For business, for consulting, for right
382. 58:50those people that can understand what's coming and can be the translators of okay, here's how the world works today.
383. 59:01Here's how AI works today, but here's what's coming for AI. and I'm going to start thinking over here and bring that
384. 59:08back to the to this reality. Right? So, some people are going to be bringing people who know nothing about AI into
385. 59:14the AI world. Then there's going to be other people out in the front edge of this thing going, "Holy [ __ ] you should
386. 59:19see what's coming." And they're going to bring that back here and sort of pull everyone forward. I can't be in a regular if I don't show
387. 59:29up. I'm tardy. H It's exhausting. Can't be late in AI. There's no sleeping in AI. Um, welcome. we're talking about. So, if you're new
388. 59:42here, if you're just catching up or you came in late, unacceptably late um the next two weeks look like like
389. 59:55there's going to be some fairly major announcements um and some some new capabilities and I and I just Okay, so so here's
390. 1:00:07the great repurpose that was born here. The seven economies was born here. Those largely came out of
391. 1:00:15what happened to programmers in December of 2025. So in December of 2025, Anthropic launches Claude Opus 4.6
392. 1:00:27and it's just their next model. It's their they went from point 4.5 to 4.6. There was something about 4.6 that just
393. 1:00:36did coding better than anything else. and like so good that developers were like, "Oh [ __ ] it can just do the work now. I still
394. 1:00:48have to be there this and that, but like I don't need to code anymore." And you know, we've we've heard we've heard
395. 1:00:54early adopters throughout 2025 like Andre Carpath early in 2025 said, "I don't really code anymore. I let it do
396. 1:01:01the code. I just I vibe code." He's the one that coined the term vibe coding. And in 2025, he said, "Ah, I don't
397. 1:01:08really do that anymore. I just I just talked to it. Opus 4.6 kind of delivered that capability to coders in December of 2025.
398. 1:01:21It seems like in the next two weeks, probably between now and June 15th, the next month, we're going to have glimpses into models
399. 1:01:32that do that for every other profession or most other professions. and and having just come back from
400. 1:01:41social media marketing world where most of the social media marketing professionals were just kind of like, "Yeah, I know AI's coming.
401. 1:01:52I'll deal with it." Like we're likely going to see something in the next, you know, month that makes it
402. 1:02:02very very apparent that kind of any kind of job that you can do is going to be doable in in this really mystical
403. 1:02:15way that we we don't know how to value it. We don't know how to how it devalues current work. We don't like it's not all
404. 1:02:23going to change in the next month, but I think we're going to start to see models where it becomes crystal clear that you
405. 1:02:30can't hide from it anymore. And so then the question becomes, what do we do? What do we do? Let's see. Todd Waller, just implement
406. 1:02:42AI for me equals needs AI implementation specialists. I will just implement AI myself. Needs AI education. Oh, that's
407. 1:02:50that's good. Yeah. And and you know what's interesting, Todd? There's probably another category here, which is
408. 1:02:57I don't want to deal with AI at all. Right. And then that's that's going to be like, well, let's sell your company
409. 1:03:05then. Let's let's get new management in here that that does have an appetite for that. or let's find a way for you to sort of
410. 1:03:16gently glide this company down to a landing, right? Because the customer base is going to start disintegrating. It's crazy.
411. 1:03:27I'm very excited to live off the government. I this is like it is hard for me to conceive.
412. 1:03:42I've I've been like this for three years, but I feel like this year we're going to get to experience the beginning
413. 1:03:48of it. It's hard for me to conceive how almost all existing businesses keep doing what they're doing.
414. 1:03:58You know, if you're manufacturing stuff, you've got a few years, but then the robots are going to come and do that and
415. 1:04:06completely transform that anyway. But anything that's in the neighborhood of knowledge work just feels like it's about to go.
416. 1:04:14And it, you know, what's weird is I don't think about it like going like it's going to go and we're not going to need those
417. 1:04:23people. It's just that what those people do is going to be a very different thing. And none of us can anticipate
418. 1:04:29that right now. And that's freaky, freaky, freaky, freaky. The age of abundance. But this community will figure it out. Listen,
419. 1:04:42it's why this channel exists. It's why the AI learning lab exists. The one thing I knew there there's there's one
420. 1:04:49thing I know. If I'm an expert at one thing, it was that if AI is not going to go away, then there's going to be a lot of people
421. 1:04:59trying to figure it out and it's going to move really fast and no one's going to know anything. And the only way
422. 1:05:06you can be successful in that kind of environment is to be with other people trying to figure it out at the same
423. 1:05:11time. It's like the only thing I know. and and it's like I feel like I feel like we went through a bit of a lull
424. 1:05:19with the with the salon and with me doing the lives and like I couldn't I kind of lost my footing. So So like two
425. 1:05:25and a half years we were generally talking about tools and I I would say from I don't know end of 2024 through 2025
426. 1:05:34it's kind of like what what is this? What are we doing? What's what's the point? What's the point? What's the point?
427. 1:05:41I think we're coming the the the first of all, thank you to Andy and for Brandon for pushing me to reconentrate
428. 1:05:51the energy of this channel back into the salon. Um, as these tools get better, I think it's going to get more depressing on the surface
429. 1:06:05because it's like, oh yeah, shit's about to really change and I think people are going to you know, pull back and isolate.
430. 1:06:15Feels scary, feels existential. [ __ ] it. I'm going to go sit in my cave. Um, I think it's more important than ever
431. 1:06:24that we don't do that, that we just keep being in the conversation. Yeah, it's going to get weird. Yeah,
432. 1:06:31a video model is going to be able to have a professor writing actual formulas on an actual whiteboard that are correct.
433. 1:06:40And what are the implications of that? I don't know. I don't know. I know that Jim Ross, as soon as that comes out, we're going to
434. 1:06:49have the the self storage version of a video that that talks about, you know, you can take a snapshot of the floor
435. 1:06:58plan of your uh of your storage facility and it'll create a five minute movie of the security protocol for your for your
436. 1:07:06units. I know Jim Ross is going to do that. That I know. But beyond that, what do we do? I don't know. But when we
437. 1:07:15watch what Jim Ross does with these tools, we're going to go, "Oh, oh, I could go do that thing over there."
438. 1:07:25Right. Valerie Cox, I work for a public utility where we typically run slow and we are even in a rush and we are even in
439. 1:07:33a rush to figure this out. And you know, Vicky Baptiste in office hours last Friday said her IT organization has spent the
440. 1:07:49last year building an AI system that they're ready to roll out. It's irrelevant. The tech has moved on. It it it took
441. 1:08:02them, you know, so long to so long relatively like a year in a big corporation is probably 3 to 5x normal speed, but a year in AI is just
442. 1:08:15ridiculously slow. So, what do you do with that? I don't know. Well, what's cool about the salon? We have people like Vicki and Chris Vuno
443. 1:08:26and a and a bunch of folks that work in big companies that understand how they work and can experience what they're doing and then
444. 1:08:35they can look at small little nimble companies nipping at the heels of those big companies and then as these new
445. 1:08:42techs come technologies come along you know we'll be in the conversation. If you're worried about layoffs or
446. 1:08:48losing your career I'm here to support you through it. It's beautiful. What did you What did you say? Something
447. 1:08:55something Mary Mary Carol about um that that you you couldn't have anticipated the what did you ask for?
448. 1:09:05You wanted some sort of change in your career or something like that and you couldn't have imagined how much you've
449. 1:09:10been blessed with the answer to that to that challenge to the universe. Oh man. I had an interview with a
450. 1:09:19company today, a big national company, and the hiring manager described their challenges and said, "But you know, it
451. 1:09:25will take us over a year to get a system in place." I laughed. Yeah. And this, listen, this goes back to
452. 1:09:39this, right? if the transition economy. So if a Fortune 500 company right now today, they're like, "Okay, AI
453. 1:09:52is a big thing. We're going to commit to this. We're going to we're going to figure it out. We're going to build a
454. 1:09:57system that we can roll out to all of our all of our constituents. And if they do it really fast, it'll take them a year. And so by the time
455. 1:10:07they roll it out, companies in economy 6 will have iterated a dozen different systems that are that are like 12 generations ahead of what
456. 1:10:20what the big company just did. And like on the surface you're like, well that yeah, but that 10erson company
457. 1:10:28could never compete with this 50,000 person company. But what's going to happen is this 10-person company is
458. 1:10:35going to figure something out where they get a customer or two where all of a sudden they're now not a 10erson
459. 1:10:40company, but they're a 200 person company. All amplified by AI, iterating at the speed of AI and and in fairly short order, an
460. 1:10:52economy 6 company's going to be over here attacking an economy 4 company because the economy 4 company thinks they're moving fast.
461. 1:11:05It's gonna get weird. It's going to get weird. Gonna get weird. Weird. Weird. Weird. Weird. Weird. Todd Waller, both Rachel Woods
462. 1:11:13and and Beanie Hat Nate uh Nate Nate B. Jones uh recently said that we should try to auto automate ourselves out of
463. 1:11:21our jobs because you either be promoted or another company will want you for those skills. Yes, someone in the AI salon, I got an email
464. 1:11:323 months ago, their entire division was laid off except for them because they knew AI. So yeah, like don't hide from this [ __ ] This I mean
465. 1:11:46this is the thing. Generously lead is about telling people here's what I'm doing. Here's what I'm doing.
466. 1:11:54If you're in here, there's 33 people in here right now. If you have not shared something that you're working on,
467. 1:12:02whether it's a creative project or an app or or some new strategy or some new framework, whatever it is, if you have
468. 1:12:10not shared that in the AI salon, like go over here, go to look what I made or go to the community feed or go to the AI
469. 1:12:18learning lab live the irregulars channel. If you haven't shared in a while, just go share. And then tomorrow when you get up, do
470. 1:12:28the same thing on LinkedIn and do the same thing on X and do the same thing on Facebook. Whatever is your poison,
471. 1:12:34social media poison of choice. Just go put yourself out in the world. I'm doing this. I'm doing this. I'm
472. 1:12:41overwhelmed completely, but I did this. MySpace. Go post to MySpace. Kelly Camp, my ideal customer profile is
473. 1:12:55curious, forward thinking, and an early adopter. The size of the company, vertical is irrelevant. So, Kelly Camp, I would love to know how
474. 1:13:06are you finding those people because that like I go to the same place right now that that I think talking about AI
475. 1:13:14on the level that we talk about it in here which which is funny the level that we talk about AI in here is a lot like
476. 1:13:22ah I don't know could be this could be that because we're not dealing with absolutes we're dealing with shifting sands Right?
477. 1:13:32So being able to have that conversation with someone in business means that you have to find someone in business
478. 1:13:40who is an early early adopter. If you have not read if if you all want to um understand the dynamics of the world
479. 1:13:49we're in and will likely be in for the next decade, go get the book Crossing the Chasm. Um, it's it's it's a little dated, but
480. 1:13:59it's still very very true. And it just talks about early adopters and fast followers. And the chasm is the chasm between early adopters
481. 1:14:09and fast followers. The people that, okay, I'm ready to do AI now. They're going to come in the next two, three, five years.
482. 1:14:19So if you're trying to sell into these people having these early adopter conversations, they literally can't hear
483. 1:14:27what you're talking about. So you have to find those people. So I don't know what I don't I would love to know your
484. 1:14:32trick for how you're finding those people. Kelly, I embraced the ick today and watched hours of tutorials on how to
485. 1:14:39use Git and GitHub. That's okay. Part of play is playing across domains. And part of playing across domains
486. 1:14:52is embracing the ick, right? I will admit that I know what GitHub is and I kind of know it conceptually, but for example, I had to ask my
487. 1:15:03engineer for for my company, Storyvine, the other day. They were talking about a pull pull request, and I was like,
488. 1:15:10"What's a pull request? Isn't it a push?" And it's he's like you're pulling things into the into this branch and it
489. 1:15:17sort of made sense to me. But if you want to learn new things and learn the new lingo, even with AI teaching you or
490. 1:15:25YouTube teaching you, you're going to be in the ick for a while. Like, oh, I don't want to learn a new thing. Go
491. 1:15:30learn a new thing because you now have the capabilities to do it. Okay, Kelly Camp. Actually, clients are finding me.
492. 1:15:37Ah, they've been Okay, wait. Keep that up on screen. Keep that up on screen. Everybody take a screenshot of this. When we talk about
493. 1:15:51generously leading, when we talk about play first, go learn, create excellence, go build [ __ ] generously lead, go talk
494. 1:16:00about what you're building and what you're learning along the way. Kelly's been doing this for three and a half
495. 1:16:05years. My clients are finding me. They've been secretly watching my AI journey on LinkedIn and are now reaching out.
496. 1:16:15There's your testimonial. That's the cycle of AI readiness. Kelly is a three and a half year overnight success. But that's it.
497. 1:16:30Why are they going to Kelly AI Journey on LinkedIn? Not AI Journey. And maybe I'll tell someone if they're not a jerk.
498. 1:16:41AI journey in public out loud. Kelly Anderson, I have a question. Wait, hang on. I have 10 Oh, wait. Go back to that one for a second.
499. 1:16:56Mary Carol, I have 10 extra copies of Crossing the Chasm if anyone wants one. I invited a speaker to Xerox Park when I
500. 1:17:02was leading a women's organization eight years ago. connect with MC if you want to read Crossing the Chasm if you want to understand
501. 1:17:10why conversations are weird right now where sometimes when you're talking to people about what you're learning with AI it like you just see
502. 1:17:22they're dead they're dead in the in the eyes they're in a completely different universe there's this giant gap between
503. 1:17:33where we are and where they are. They literally can't hear what you're talking about. So, if if you're trying to figure
504. 1:17:39out how to do business, how to be in this current moment in history, go read the book Crossing the Chasm. It will
505. 1:17:46help. Okay. Kelly Anderson, I have a question. A social media a social media marketing Oh, at social media marketing.
506. 1:17:54Did you see any irrelevant or irreverent innovative promotional gimmicks? Yes. the very last talk that we saw and I assume that these
507. 1:18:10talks are going to be available at some point on YouTube. I know as speaker as a speaker I've got access to them right
508. 1:18:16now but the very last talk that we saw um I forget the man's name. If Andy's still on here she'll know it. She'll she
509. 1:18:25can pop it in the comments. He gave this really remarkable talk on his his journey to create an incredible amount of income using
510. 1:18:39YouTube shorts opening Pokemon packs. Um, and what he was talking about the the core concept that he was talking
511. 1:18:50about was short form episodic shows. And so one of the examples that he showed was a Tik Tok channel where you
512. 1:19:01never see the person's face. They start with a rock about this big and they kick it for a minute. And the point of the
513. 1:19:10channel is the guy is going to kick that rock until it's a perfect sphere. And so every day he drops the rock on the
514. 1:19:19sidewalk and kicks it for a minute and then that's the video. And then the other video that he showed
515. 1:19:27was the dude out of out of Portland with his cat that that quit his job at whatever some tech thing um or like a retail store. Um and he
516. 1:19:43bought a and he drained his 401k, bought a sailboat and decided to teach himself to sail and sail from Portland to
517. 1:19:50Hawaii. and he's going to sail around the world. But the first leg was from Portland to Hawaii. And so basically it
518. 1:19:56was the journey of him buying the boat, learning how to sail with his cat, and then going on this like 26 or 30 or 35day journey.
519. 1:20:07And by the time he got to Hawaii, he was welcomed by the governor and he had all these sponsorship deals and [ __ ] like
520. 1:20:14that. So, the the idea of doing these daily short form videos where there's something at stake. Um, and then he he talked about he was
521. 1:20:26trying to figure this out and he he did a failed attempt and then he did another failed attempt and then he was doing something with his
522. 1:20:34kid and he and his kid were bonding over Pokemon cards and they went into some Pokemon card shops and and he said, "Oh,
523. 1:20:43maybe I could do videos of me opening Pokemon decks and, you know, ripping Pokemon decks and and seeing if we got
524. 1:20:50any good cards or not." And so they started doing that and there there he was getting no views and he for like two
525. 1:20:56months there was just nothing. And then he started experimenting with like he he wrote a jingle at some point like you
526. 1:21:03know should I open it or should I keep it sealed? It was it was this really cheesy sort of um thing. And basically
527. 1:21:12if he like opened a pack like maybe he paid $50 for this rare pack and he opened it up and then there was a there
528. 1:21:18was a no good cards in it. He was like, "Oh, I should have kept it sealed." And see, he had these little things. And the
529. 1:21:25minute he had a couple of these little gimmicks that sort of built up the anticipation of each episode was like,
530. 1:21:31"Is it going to be good or is it going to be bad?" And people latched on to that. Like his numbers just went through
531. 1:21:37the roof and his revenue went through the roof. And he's making like I don't know. I've seen that guy. Yeah, exactly.
532. 1:21:43Kelly Anderson. He's making like $2.5 million now. And like just ridiculous stuff. And at the end of his
533. 1:21:49presentation, he actually had a $1,500 pack of Pokemon. Um, and and he and he filmed an episode live. It like it was his 400th episode
534. 1:22:00or his 4,000th I think 400, I don't know, whatever it was. 4,000. Um, and he did it live in the room and
535. 1:22:08and we all sang the song and and then you know he he opened it and there was a good card in there and then he ended up
536. 1:22:14giving the cards to someone a kid that was at the event. So it was pretty cool. So that idea of short form episodic um episodic things
537. 1:22:25is really important and it ties in Kelly with um it ties in with this this thing that's that's hit me recently is that
538. 1:22:42any marketing that we do about the thing so I've made a workshop or I've got this expertise or I've got this training or I've got this
539. 1:22:55I don't know this comic book. If you lead with talking about the thing, no one's going to care, right?
540. 1:23:11But like when Brandon in Festivus was talking about making the books for his kids, the books are going to be easily copied.
541. 1:23:24Like he did a book that was about the alphabets of, you know, AI terms, but it was it was how Brandon thought
542. 1:23:32about making the book for his kid that is the hook. And then you can talk about the book after after you after
543. 1:23:40you're in it. But the one thing that can't be commoditized if everything's about to be commoditized, the one thing
544. 1:23:48that can't be commoditized is your story. And so I think this idea of these episodic things like I'm on a journey
545. 1:23:55like Mary Carol like your your journey about hey I worked at all these cool places. I've got this cool background. I
546. 1:24:02got all this expertise and I'm trying to figure this [ __ ] out. like that journey is likely going to be way more valuable
547. 1:24:12to you than any of the expertise that's been valuable historically because expertise is now a commodity which is really [ __ ] depressing,
548. 1:24:23right? It's the whole point of the great repurpose is all of this stuff we've done all of our lives to make ourselves valuable, that thing
549. 1:24:35that used to be our value is now not, but we are. And to the extent that we're comfortable or not comfortable
550. 1:24:47putting ourselves out there, I think that starts to become I I think it starts to become the only kind of
551. 1:24:53differentiator is is that kind of brand. Like hook people into the story of your expertise and then they will buy your
552. 1:25:03expertise, but they'll buy it because it's your expertise. Right? We've all had AI conversations with people and they go to sleep. Maybe I
553. 1:25:15should paint some AI robots and submit to shows. Well, I you know, listen, I think that I think that Kelly Camp just her her consistent
554. 1:25:31Kelly Camp does it in this very quiet kind of humble way, right? She's just like, "Oh, yeah. I was at a coffee shop
555. 1:25:39and I told people about this. Oh, I talked in a room full of CEOs and only two of them had used AI. Oh, I talked in
556. 1:25:45a room full of dentists. Oh, I I was with a bar owner and I I showed him how he could take a picture of his
557. 1:25:50inventory. It's it's been this very quiet like literal drip campaign like doop doop doop doop, which any one of
558. 1:26:01those individual contributions that she did, you'd look at it and go, "Well, that's insignificant." But when you string those all together,
559. 1:26:08it starts to tell this story of how thoughtfully and how patiently she's been interacting with this stuff.
560. 1:26:16And so at the point at which you're ready to talk, you're like, you know, I I kind of like that energy like everyone's like screaming,
561. 1:26:25>> you could make money with >> and here's this Kelly Campwoman who's just she's she's just very consistent
562. 1:26:31and she's just there. Yeah, I want to work with that. Right. It's not her expertise. Everyone will assume you've got the
563. 1:26:42expertise because everyone has access to chat GPT. So, we can all be experts. But why would I work with Kelly? Well, because of the herness.
564. 1:26:54Lori Blair. Maybe it's valuable though. Um because who we are has led us to be experts. Oh, Lori, don't get me wrong. I What I'm
565. 1:27:03talking about, the value is us. The value is us. How we gathered that expertise. The work ethic that we had to have. Mary
566. 1:27:15Carol, you worked for these big organizations. You know how to navigate big organizations. You have enough of the skills to know
567. 1:27:24what it takes to do that. the expertise of what you do when you're there, that may not be as valuable, but how you do that is valuable. And
568. 1:27:37then all that expertise, the value of it doesn't go away for you. It just goes away for you marketing, right? Let's see.
569. 1:27:49We're now in a world where my journey of five layoffs and the resilience I've cultivated is is more valuable than my
570. 1:27:55PhD. Yes. Yeah. Yeah. Yeah. My PhD from Harvard Business School, my postoc from Stanford Medical. Sigh. But it might be
571. 1:28:03the story of who I am is more valuable than what I accomplished. And that might be refreshing. I think that's what it
572. 1:28:09is. Mary Carolyn. Like we'll be talking about this tomorrow in in Andy's workshop about the goop and identity. The goop is
573. 1:28:19we're exiting a world. We're exiting a world where you have a PhD from Harvard. In in the world we're in today, you're
574. 1:28:32like, "I have a PhD from Harvard." People are like, "Oh, damn. We're entering a world where it doesn't matter.
575. 1:28:43Everyone's going to have a PhD level genius in every subject. And on this wait on on this
576. 1:29:02your little rabbit R1. This is going to be the equivalent of a thousand PhDs right here in my breast pocket. I'll
577. 1:29:09just pin it on. I'll just pin it on like this. So why would I work with Mary Carol? Well, who did she have to be to get that?
578. 1:29:21Who did she have to be to get those jobs? Who did she have to be to string together all that expertise and figure
579. 1:29:27out how to talk and think and oh, I want to work with that. Kyle, I believe you were correct when you said
580. 1:29:34one of the biggest takeaways from the last three years may be our ability to emotionally bounce back from the AI
581. 1:29:39whiplash. Yeah. And I think it I think it's from the AI whiplash and it's also from this identity whiplash. Like
582. 1:29:49you just said it, Mary Carol, like it's really flipping depressing that that those things that were so valuable are are now just sort of
583. 1:29:59sliding in value and you're like watching them slip away going, "No, it's like a bad dream." Right? But I think
584. 1:30:06you're right. I think your experience going through that starts to become more valuable. how you got there, what you did, what you've
585. 1:30:16learned as you've gone through those layoffs. I don't know. I don't know what any of this means. Anyway, we are at
586. 1:30:23time. This is a really good conversation. Bless the broken road. There you go. Let's see. All right. Fantastic. Let's see. Time to
587. 1:30:35wrap. So, Wednesday night uh is going to be um here in the AI learning lab is demo night. Um, I haven't decided what
588. 1:30:45I'm going to demo. I have a sneaking suspicion that the OpenAI announcement is probably going to be Thursday, so
589. 1:30:51we'll probably miss it Wednesday. But if there's anything that launches between now and Wednesday, it might be a new
590. 1:30:57thing. Um, if anyone has any requests for for what you want me to play with on Wednesday, um, feel free to DM producer
591. 1:31:07Brandon or um or just DM me or just post it in the regulars channel. We'll take a look. We'll we'll look at that. Um,
592. 1:31:18it might be a night. It could be a sunso night, but we'll see. Um, thank you all. It is time. I'm gonna I'm I'm trying to
593. 1:31:25get better at at at making these a bit more predictable. We'll start at 7:30. We'll end at 9. You can if you're on the
594. 1:31:32East Coast, it's 11. You can watch your local news. Have some have some normaly in your life. Um and still do do some good
595. 1:31:41stuff. I hope this was valuable to you and interesting tonight. Um and with that, peace out. I really appreciate
596. 1:31:49y'all being here. Um I'm liking this new format. I'm loving that we're we're kind of in here in the salon together. So,
597. 1:31:55please go out and participate in the salon and uh I will see you Wednesday. Bye.