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

Description

Chapters

Transcript

0:27 Heat.
0:46 Heat.
0:57 Welcome, welcome, welcome, welcome
1:00 everybody. How is everybody doing?
1:04 Welcome to the AI learning lab live.
1:07 What is shaking? What's going down good
1:09 people?
1:11 All right, we're in here. Kelly Camp is
1:13 in here. Sharon Crawford, just as I was
1:15 learning how to slow down the AI
1:16 business I've been waiting for for three
1:18 years just kicked in. I haven't seen the
1:21 video game in a while. That's awesome,
1:23 Kelly. I'm really thrilled for you,
1:24 Kelly. Scary, too, I imagine. Yeah.
1:28 Yeah, exactly. Just as you're getting
1:30 exhausted of not having enough business,
1:32 you're going to get exhausted of having
1:34 too much. Um, but by the way, Kelly, uh,
1:38 one of the things that we'll be talking
1:39 about tonight,
1:42 um, I think could be very interesting
1:45 for what you're up to.
1:47 Um, but we'll see. But I but I just I I
1:50 have a I have a sneaking suspicion. So,
1:53 it looks like Kelly has been paying
1:55 attention to what's going on with Open
1:57 AI. So, won't be a surprise to her. But,
2:01 um hang on a sec. Let me get all my
2:03 devices managed. And
2:07 >> you can make money with
2:11 >> that's that's about to happen. I think
2:16 we we are in we in just bonkers times.
2:20 Bonkers times. Bonkers. Bonkers.
2:22 Bonkers. Okay, welcome. So, it's Monday.
2:25 My name is Kyle Shannon. This is the AI
2:27 learning lab. Welcome. Hello, Ivan. How
2:29 are you? Um, welcome to the AI Salon. If
2:33 you're new here, if you're new to the
2:35 live, if you're new to the live
2:36 streaming in the AI salon, if you're new
2:38 to the AI salon, be sure to check out uh
2:40 I don't know which side of me it's on.
2:42 So, here's a question. For those of you
2:44 that have been here before, is all the
2:47 navigation for the AI salon, is it on
2:49 the side of where my name is, or is it
2:51 on the side where the AI learning lab
2:53 logo is? Where's the Where's the
2:56 left-hand navigation of the salon?
2:59 Which one? Right. Right doesn't help me
3:03 where my name is or where that thing is.
3:08 Problem is, I don't know right from
3:10 left. If my image is being flipped, it
3:12 might be backwards for me.
3:16 Anyone? Buler. Buler. Buler.
3:20 It's nowhere on an iPhone.
3:24 All right. I guess we got some people
3:26 from from iPhone sticking here. Chat on
3:29 your left. So over here on where my name
3:32 is. Your name is on the left. Icon is on
3:36 the right. Okay. Name's on the left.
3:38 Okay. So it's left. So, it's here. So,
3:42 if you're on if you're on desktop, go
3:44 check out all of the different spaces in
3:46 the AI salon at some point tonight. Um,
3:50 okay. We can read Monopoly. Oh, yeah.
3:52 That's Wait. Okay. If you can read
3:54 Monopoly, that's backwards for me.
4:01 Other left. So, the navigation is over
4:04 here. Is that correct?
4:07 Underneath the AI Learning Lab logo.
4:09 That's where the navigation is for
4:15 I I I
4:19 I'm exhausted. I'm exhausted.
4:23 Producer Brandon entered the studio.
4:25 Hey, producer Brandon. Okay. Todd Waller
4:27 is the first one. Right. Wait. Right.
4:30 Other left. Right. Correct. Okay. Over
4:33 here is the navigation for the AI salon.
4:35 Over here.
4:37 Who's on first? Yeah, exactly. This is
4:39 This is This is We need Producer Brandon
4:42 in here. Something terrible.
4:44 I was just trying to tell the good
4:46 people. Producer Brandon where where the
4:48 stuff is over here. Okay, so here's what
4:49 we're going to talk about. I have you on
4:51 my live. Very nice. It's like teaching
4:53 kindergarten. No, Kelly, it is much
4:56 worse than teaching kindergarten. That's
4:58 correct.
5:04 Oh, man. kindergarteners, you expect to
5:07 be playing with spitballs.
5:12 Upstanding professionals, you know, come
5:15 on, you are irregular. So, there's that.
5:18 Okay. So, so here's what we're going to
5:20 talk about tonight.
5:23 And we're going to dig into some some
5:24 detail. I want to go I want to go read
5:26 about this stuff and think about it. We
5:27 we'll read it together and we'll talk
5:29 about it.
5:32 But
5:33 so there there have been rumors that
5:35 there's going to be some new stuff this
5:37 week. It looks like there's going to be
5:38 some new stuff next week. So producer
5:40 Brandon, one thing that I didn't put in
5:42 our little X
5:44 channel, the direct channel, is I want
5:47 to go look at the video from the new
5:49 Gemini model, which if if the video is
5:52 in fact from the new Gemini video model,
5:55 it's flipping crazy
5:58 what it's doing. So it's so so we're
6:01 going to go we're going to go talk about
6:03 that. But
6:05 um OpenAI today made two major
6:08 announcements
6:10 that one is the um the announcement of a
6:18 a new company to deploy AI.
6:24 And so it's a combination of investment
6:26 banks and big consulting companies. Um
6:30 so we're going to go look at that in
6:32 detail and it's got some really
6:33 interesting components to it that I
6:36 think there could be a lot of
6:37 opportunity especially for people that
6:39 you know know how to talk about this
6:41 stuff, know how to deploy this stuff. I
6:43 think one of the things that's probably
6:45 going to be highly overlooked is the
6:46 kind of stuff we're talking about with
6:47 the great repurpose the the the me
6:50 meaning and identity stuff.
6:53 Um,
6:56 so I think there's some big opportunity
6:58 there. And then, yep, Gemini is getting
7:01 better. And then the other the other
7:03 thing that they announced today was a
7:06 cyber security
7:08 initiative.
7:09 Um,
7:12 that is I think the slicker version of
7:15 what Anthropic did with the Mythos
7:18 release, which I thought the the
7:20 Anthropic announcement of the Mythos
7:23 release was kind of
7:27 I don't know, cheesy.
7:30 It was cheesy. The Gemini Voice on iOS
7:33 app is great and free. Yeah, Gemini is
7:35 getting better. Um,
7:38 the new real time voice for chat GBT has
7:43 gotten better and it's really
7:44 interesting. Um, the new mirror moratti
7:49 company
7:50 has a real-time voice, real-time
7:52 translation. What what blows my mind
7:55 about all these frontier model companies
7:57 is they're all launching the exact same
7:59 features at exactly the same time.
8:03 So, and two months after that, China
8:05 will be there with the open- source free
8:07 version of it. It's been like that for
8:09 three and a half years. And I don't I
8:10 don't see it changing. I don't quite
8:12 know.
8:14 I assume this is because they just keep
8:16 hiring engineers and engineers keep
8:18 moving from from frontier company to
8:20 frontier company and they all just
8:22 >> their intellectual property is just all
8:24 over the place. So,
8:26 >> um Oh, yeah. Lovable has a new interface
8:29 builder, right? Like their their Yeah.
8:32 Can you make the Can you make the
8:33 purple? Oh, I can. Never mind. I got it.
8:36 Here.
8:40 Okay, good. Perfect. Perfect.
8:43 Wait, how do I click out of this?
8:47 Oh, you need to click off of Lovable
8:49 Aesthetics. Um, yeah, Lovable's got a
8:52 new uh a new thing out today. Um, that
8:55 apparently their interface is getting
8:57 better. I didn't think their interface
8:58 was all all that bad, but apparently
9:01 it's getting better. Um, I've heard that
9:04 there's going to be a new open AI design
9:06 tool. So, last week or the week before
9:09 we got the clawed design tool. So,
9:12 again, all these companies are releasing
9:15 all this stuff. But the thing that I
9:18 think is important for us to look at
9:19 tonight,
9:22 let me share my screen.
9:38 Oh, I did a cool little Look at my cute
9:40 little new avatar, dude.
9:42 So, so this is frustrating. I don't know
9:44 if there's anyone if if Gareth's in
9:46 here, if anyone knows what the hell
9:48 they're doing, but in OpenAI's codeex,
9:52 they added a new thing called pets.
9:55 And apparently you're supposed to just
9:58 be able to slash pets and your pet shows
10:00 up. Didn't work in mine. And I did all
10:04 this install stuff and I followed
10:05 tutorials and I even made myself a
10:07 custom pet that looks like me and and
10:10 Codex did this remarkable stuff. In
10:12 fact, let me show it to you. I have
10:14 Codex open here.
10:17 Um,
10:18 if I go to settings and then I go to
10:20 appearance,
10:22 then I scroll down here and I click on
10:24 pets, I scroll all the way to the
10:26 bottom, I've got this this pet, Kyle, a
10:29 fun, relaxed guy who celebrates when
10:31 good things happen. So, that's me. But
10:34 if I go over to
10:36 find a
10:39 go here and I go let's see
10:45 I go here and I go users and I go story
10:48 vine
10:51 and let's see
10:57 Here.
11:06 I lost something.
11:27 H.
11:32 Well, the thing I wanted to show you, I
11:34 don't know where it is now. It got It
11:36 got moved. It looks like Codex moved
11:37 something.
11:39 Anyway, it made all these animated
11:41 sprites for this little character. But
11:43 anyway, when I when I'm in when I'm in
11:45 Codeex, um, it I can't get that little
11:48 dude to show up. So, I don't know if
11:50 anyone knows how to do that. But if I
11:52 type in slash pets or slashpet and hit
11:55 return, nothing happens. I get no little
11:57 dude. I don't know how to get my little
11:59 dude. Anybody know how to get my little
12:01 dude? It's an acknowledged bug that it
12:03 doesn't show up, but I can't ever I
12:05 can't seem to figure out how to fix it.
12:07 Anyway, okay. Back here. So, let me go
12:12 to
12:15 I can see clearly now the rain is gone.
12:25 Okay,
12:27 so May 11th, 2026, OpenAI AI launches
12:31 the OpenAI deployment company to help
12:34 businesses build around intelligence.
12:37 OpenAI has agreed to acquire tomorrow.
12:40 Tomorrow,
12:42 giving the OpenAI deployment company
12:44 experienced forward deployed engineers
12:47 from day one.
12:50 OpenAI is launching the OpenAI
12:52 development or deployment company, a new
12:54 company here. Let me make these bigger
12:55 so you can read it. It's kind of crappy.
13:01 Let me try logging in.
13:07 That's fine.
13:08 Um,
13:12 the Open AI deployment company will
13:14 extend OpenAI's ability to embed
13:17 engineers um specialized in frontier AI
13:20 deployment known as forward deployed
13:23 engineers or FTEEs into organizations
13:25 working on complex problems in demanding
13:28 environments. These FDEEs will will work
13:30 closely with business leaders, operators
13:32 and frontline teams to identify where AI
13:35 can make the biggest impact. redesign
13:37 organiz organizational infrastructure
13:40 critical workflows around it and turn
13:42 those gains into durable systems. Okay,
13:45 so
13:48 we're now entering a new phase of chat
13:50 GPT where so here's here's
13:55 what this signals to me
13:57 is that
14:00 the models that are coming are about to
14:02 be really flipping good
14:05 like G GPT6 or you know whatever the you
14:09 know mythos from from anthropic right
14:12 it's it's so good it's so powerful we
14:14 can't give it to you. Um, so that's kind
14:17 of what this says to me and that and
14:20 that it's going to be worth companies
14:22 time
14:24 to really do this right and it's not
14:27 going to be obvious how to do it right.
14:29 And so they're going to put together
14:31 these these they've put together this
14:34 company to be the services component of
14:37 you know their token selling operation
14:40 in connection with the OpenAI deployment
14:42 company's launch. OpenAI has agreed to
14:44 acquire tomorrow, an applied AI
14:46 consulting and engineering firm that
14:48 helps enterprises turn AI into
14:50 operational advantage. The acquisition
14:53 will bring approximately 150 experienced
14:55 FTEEs and deployment specialists to the
14:58 OpenAI deployment company from day one.
15:00 So they're starting with 150 people.
15:03 That's going to grow very very quickly
15:06 because listen, the OpenAI deployment
15:08 company is a committed partnership
15:10 between OpenAI and 19 global investment
15:13 firms, consultancies, and systems
15:16 integrators. The partnership is led by
15:18 TPG with Advent, Bane Capital,
15:20 Brookfield as co-leading founding
15:22 partners and B Capital, BBVA, Emergent
15:26 Capital, Gana, Goldman Sachs, Soft Bank,
15:28 Warbert, Warberg, Pinkis, and WCAS as
15:32 founding partners. Investors also
15:34 include leading consulting and systems
15:37 integration firms including Bane,
15:41 Capgeemini, McKenzie. The deployment
15:43 company will work closely alongside
15:45 OpenAI's frontier alliance partners and
15:48 the broader industry to drive a AI
15:50 adoption. Um,
15:52 the OpenAI deployment company is a
15:55 majority owned and controlled by OpenAI.
15:58 Majority owned and controlled by OpenAI,
16:01 giving customers a unified experience
16:03 whether they work with OpenAI, the
16:05 deployment company, or both.
16:08 Now, here's the thing where I think
16:10 there's some interesting opportunity for
16:12 all of us.
16:14 It will launch with more than $4 billion
16:17 of initial investment, which it will use
16:19 to scale operations and acquire firms
16:22 that can accelerate our mission. So
16:24 they're starting with 150 people and
16:27 they've acquired this company and I
16:30 don't know if the acquisition of that
16:32 company comes out of the four billion if
16:34 the four billion is on top of that but
16:37 they're investing in acquiring firms
16:40 that can accelerate being able to deploy
16:43 um to different companies. Now couple of
16:46 interesting thoughts on that.
16:48 If you're dealing with companies like
16:50 Bane, Capgeemini, McKenzie,
16:53 these are big, big systems integration
16:55 firms, big consulting firms, they're not
16:58 going to wipe their butts for any
17:00 company that's less than, I don't know,
17:03 20,000 employees, 50,000 employees.
17:06 Like, these are going to be big
17:07 engagements, big money.
17:10 There are a lot of companies out there
17:12 between, you know, a,000 and 10,000
17:15 people, between 10,000 and 50,000
17:17 people. There's a tremendous amount of
17:19 opportunity below where these guys are
17:22 going to start.
17:25 My instinct
17:28 is that a lot of this $4 billion
17:32 will will go for filling in the
17:37 opportunity gap, right? So, they're
17:39 going to start with the high-end
17:40 customers, but everyone's going to need
17:42 AI, and everyone's going to need to
17:44 figure this out, and no one's got it
17:46 figured out, right?
17:50 Um, why deployment matters. Open AI was
17:53 founded as a research and deployment
17:55 company. From the beginning, we've
17:57 believed that building powerful AI
17:59 models is only part of the work. The
18:01 real impact comes from helping people
18:02 and organizi organizations use those
18:05 systems safely, effectively, and at
18:06 scale. Over the past several years, when
18:09 more than a million businesses have
18:10 adopted OpenAI's products and APIs,
18:13 across those deployments, one pattern
18:15 has become increasingly clear. The next
18:17 stage of enterprise AI will be defined
18:20 by how effectively businesses can deploy
18:22 this technology into real world use
18:25 cases and how well our alliance partner
18:27 ecosystem can help them.
18:30 Right? So, if a bunch of companies go,
18:34 "Hey, we bought you all chat GPT. Good
18:36 luck." which is essentially what's
18:38 happened up to this point.
18:41 And they're like, there's no ROI. Yeah.
18:43 No one knows what to do with it.
18:46 You dumb dumps. No one knows what to do
18:48 with it, right? Are you using it in the
18:51 seauite? Are you using it, you know, in
18:54 senior management? Do you even know what
18:56 this thing is that you've given to
18:57 people?
18:59 Um, building where the frontier is
19:01 headed. We launched OpenAI deployment
19:03 company as a standalone business unit.
19:05 So it can develop the operating model
19:07 pace and customer focus this work
19:10 requires the operating model pace and
19:14 customer focus this work requires.
19:16 Right? So if I'm reading that right,
19:18 it's like shit's going to be moving
19:20 faster than Fortune 500 companies can
19:23 deal with it. It's likely going to be
19:25 threatening business models, operating
19:27 models,
19:28 and it's probably going to change how
19:30 customers engage with companies,
19:34 right? So, this is this is a smart move,
19:38 wholly owned delivery, right? And this
19:40 is like we've seen this before, right?
19:42 IBM's done this for years.
19:45 At the same time, it will operate as an
19:47 extension of OpenAI, keeping customers
19:49 closely connected with research,
19:51 product, and in-house deployments.
19:52 Right. So, so their best customers will
19:54 get the best models.
19:57 Streamyard comment. Let's see. Let's
20:01 jump over here.
20:04 Um, Chris Bruno, I feel seen. I know,
20:07 right? But what does it all mean, Kyle?
20:12 This is exactly the focus of what I'm
20:15 doing now. Exactly. Exactly. Hi, Kelly.
20:18 This is Chris. So that's what I was sell
20:21 saying, Kelly, that
20:23 this is so just like you're seeing your
20:26 company accelerating
20:28 um or demand for your services
20:31 accelerating, if you do it right, you'll
20:33 likely bring on other consultants. If
20:35 you do that right, you'll likely, you
20:36 know, sort of ladder up to different
20:38 kinds of clients and things like that.
20:40 um
20:42 the demand for people who know how to
20:46 approach AI,
20:48 I think, is about to get insatiable,
20:50 right? So, as as the models get better
20:53 and better and better, people are going
20:56 to be like, "What do I do with this?
20:57 What do I do with this?" Anybody buler
20:59 little bit? Any any help? Any help? Um
21:02 so, I think there's really big
21:03 opportunity here. Um yeah, let me flip
21:08 back over there. Oh, it killed my killed
21:10 my screen share.
21:18 I need to change my career. Cam Katkin,
21:20 I'm late. What's the topic tonight? So,
21:22 the topic tonight
21:24 is
21:27 um this this Am I sharing this
21:31 correctly? Yes.
21:34 um this article from OpenAI or not this
21:37 article but they they basically are
21:39 launching a deployment company
21:44 so let's see let's go down here
21:46 accelerating deployment okay wait here
21:48 we go let's see all right we launched
21:51 the open AI deployment company as a
21:53 standalone business unit at the same
21:55 time open AI will operate as an
21:56 extension of open AI you know favoring
21:59 customers so basically
22:02 how open AI works right now is if you
22:05 don't spend whatever it is a million
22:07 dollars a month with them, they don't
22:09 care about you. It doesn't matter.
22:10 Whatever you just, oh yeah, we promised
22:13 you a chat GP custom GPT store. Sorry
22:15 about that. Piss off. Right. So if
22:18 they're if you're spending 10 $10
22:20 million a month or more, they'll pay
22:22 attention to you. Now, what they're
22:23 laying layering on top of that is if you
22:26 spend 10 million or more a month and
22:29 you've you're using our deployment
22:30 company, then we'll really pay attention
22:33 to you. So, so we've seen this model
22:35 before. Um, the connection is a major
22:38 advantage. The OpenAI deployment
22:40 companies, FDEEs, forward deployed
22:42 engineers will be able to build for
22:46 where OpenAI's frontier capabilities are
22:49 headed, giving customers systems
22:52 designed to improve new models
22:55 improve as new models, tools, and
22:56 deployment patterns come online.
22:59 customers can move faster from day one,
23:01 spend c capital on durable systems, and
23:04 stay ahead of competitors by building
23:06 around the capabilities of what's coming
23:08 next. So, I want to I want to pop
23:10 something up here that I've talked about
23:14 a fair amount of times, but I still
23:16 think it is worth looking at again.
23:25 and and why why again I think this is
23:27 smart.
23:38 Okay, so the seven economies.
23:47 So if you don't know the seven economies
23:49 the this is this is basically a model
23:51 that got invented here on the AI
23:53 learning lab live
23:56 that was the answer to the question I I
23:58 said things are about to get weird and
24:00 Kelly Camp said but Kyle what does weird
24:02 look like and this the result was this
24:06 that as we've got AI accelerating away
24:09 from us and as most people don't even
24:11 know what AI is that that the world is
24:13 going to kind of shatter splinter into
24:15 these different economies
24:17 largely based on level of AI adoption.
24:19 So one of the things one of the places
24:22 my head has been is so so just quickly
24:27 the four economies to the left are
24:29 basically business as usual with a
24:31 little bit of AI adoption. So the analog
24:33 economy is screw it I'm going to go grow
24:36 blueberries. The legacy economy is I'm
24:38 not going to deal with AI AI at all.
24:40 We're just going to run it how we've
24:41 we've always run it. Economy three is
24:44 the efficiency economy. We're going to
24:45 use AI a little bit to make what we
24:47 currently do more efficient. And then
24:49 the transition economy is we're going to
24:51 do some innovation, but we're basically
24:53 going to keep doing what we were doing
24:55 before in the same model.
24:58 Economy five is a really interesting
25:00 economy because what economy five says
25:03 is I'm going to take a going concern
25:05 like I'm going to take an existing
25:07 company that's already got revenue. It's
25:10 already got customers. It might even
25:11 have profit and I'm going to burn down
25:13 the org chart. I'm going I'm going to
25:16 try to anticipate what AI makes
25:18 possible. I'm I'm going to try to
25:20 anticipate how I'm going to survive and
25:23 flourish with AI moving forward. Um, the
25:27 only company that I know that is
25:29 aggressively doing this right now is
25:31 Jack Dorsey's Block. So, the guy that
25:33 founded Twitter is he he laid off 4,000
25:37 of 10,000 people. He's replacing middle
25:42 management function with AI and then
25:44 basically putting all the people around
25:45 the edges of the organization to
25:48 interface with other human beings and
25:50 use the human beings for intuition and
25:52 and work and use the AI as a traffic cop
25:56 basically. Um,
26:00 so the thing that I've been trying to
26:02 get my head around is how are these econ
26:04 how are these companies in economies 2,
26:06 three, and four going to have the
26:09 foresight, the insight to really
26:11 understand what AI makes possible and
26:14 what's coming because economy six are
26:17 like small little nimble companies of
26:19 like 5 to 10 to 20 person um full AI AI
26:24 native companies that are going to
26:26 completely reinvent how economies 2,
26:28 three, and four work, right? They're
26:30 going to go compete with them. So, at
26:32 some point, if if the companies in
26:34 economies 2, three, and four really want
26:36 to survive, they're going to have to
26:38 flip into economy 5. So, does that take
26:42 them a decade to do or can they do that
26:44 in two years? And and what I would argue
26:46 is that what OpenAI
26:49 announced today with with the deployment
26:51 company is is that in theory, if they do
26:56 this right, and if this company's right,
26:58 in theory, if your company is working
27:01 with this deployment company and you
27:03 have access, you know what's coming
27:04 sooner than other people know what's
27:05 coming and these people have their [ __ ]
27:07 together, they're going to help you say,
27:09 "Here's what management looks like for
27:11 companies that are all AI. Here's what
27:13 business models look like, right? Here's
27:15 here's all of the things that are coming
27:17 and here's where you are. So, how do we
27:19 get you from economy 3 to economy 5?
27:24 All right, let me go look at a pin.
27:27 There's a pinned comment. Uh, let's see.
27:32 Hide. What's that say? Oh, I want to
27:36 consult for economy 5 companies and
27:39 build an economy 6 company. Come join
27:41 me. There you go. Mary Carol is is a big
27:45 systems thinker, understands this world,
27:48 understands all this stuff. Here's the
27:50 thing, Mary Carol, about economy. Five
27:53 companies are going to be really rare
27:54 right now. They're going to be very
27:56 rare, right? It's taking an existing
27:59 company that's got some amount of
28:01 resources
28:04 and and having leadership that's willing
28:06 to burn down the org chart. So my my
28:09 advice would be aspirationally shoot for
28:12 economy five,
28:14 but start with economy three and four. I
28:16 think most companies right now, if
28:18 they're using a AI at all, are probably
28:20 economy 3 companies. and how you get
28:23 them to transition from that to even
28:25 thinking about economy 5. That feels
28:28 like that could be a year just to figure
28:31 out where they are, where their pockets
28:33 of AI brilliance are,
28:36 what competition's going to look like in
28:38 the future, what an economy 5 company
28:41 would look like, how we would, you know,
28:42 what would need to transition. And then
28:45 to your other point, the economy six
28:47 companies, those are going to be a blast
28:49 because they can just invent, you know,
28:51 that sector from the ground up and just
28:54 say, "Here's a new way to do it."
28:57 All right. And I'll take care of all the
28:59 business that OpenAI doesn't care about.
29:00 That's that's my point is I think that
29:02 because they're starting with Bane and
29:04 McKenzie and these big ass consulting
29:06 firms,
29:08 they're going to start with the Fortune
29:09 500, Fortune 1000.
29:12 there's a lot more small, medium, and
29:14 big companies that that do not hit that
29:17 target market.
29:19 Um, I mean, this is this this the
29:22 initial customers of that deployment
29:24 company are going to be like, are you
29:26 willing to spend $500 million a year, a
29:29 billion dollars a year, then we'll then
29:31 we'll really come help you. If not, good
29:34 luck. Here's chatgbt.com.
29:38 Just ask it yourself.
29:42 Where can I learn more about the
29:43 economies? Um, I've got Champ.
29:50 What's going on?
29:54 Um, there's an article on LinkedIn,
29:57 Ivan, that I wrote about the seven
29:59 economies, and I've got a couple of
30:01 videos about it. I think there's a video
30:02 in the AI salon. I don't know if if
30:04 producer Brandon if if did I put a clip
30:07 of the seven economies in the salon? I
30:10 think I may have but I can't remember.
30:15 Oh man.
30:18 Okay,
30:19 so this looks different on mobile.
30:28 Why can I not see
30:33 I can't see pinned comments.
30:40 Strange.
30:42 Andy's in the house. What's happening?
30:45 There's so much opportunity right now.
30:48 Commercial break. Pin up on screen.
30:52 Oh, pin equals up on screen. Ah, got it.
30:54 Okay. Um, okay. So, it's 8 o'clock. So,
31:00 um,
31:02 one of the things that
31:05 I would strongly encourage you to do
31:08 is
31:11 now that you're in the AI salon, start
31:13 participating. If you haven't introduced
31:15 yourself, over here toward the top is a
31:19 space called introduce yourself.
31:22 Go do that. Introduce yourself to the
31:25 the to the community. What I would also
31:27 request if you've been in here a while
31:29 also go to introduce yourself and scroll
31:32 down through people who've introduced
31:34 themselves and welcome them. One of the
31:37 amazing things about the irregulars and
31:39 the people that show up to this channel
31:41 night after night after night is how
31:43 welcoming and accommodating and generous
31:45 you all are. And so what I'd like to do
31:47 is start to get that energy happening
31:48 inside the AI salon. So a fair amount of
31:51 people have have joined recently. Some
31:53 have introduced themselves. So go into
31:55 the introduce yourself section and and
31:56 join. Um the other thing that you should
32:00 think about doing is creating work and
32:02 sharing it. Sharing sharing it in look
32:04 what I made or in the community feed or
32:06 the community chat. Just get your work
32:08 out there. Start putting yourself out
32:10 there.
32:12 You'll also notice there's a space um
32:14 called the AI salon mastermind. And the
32:16 mastermind is a subscription area of the
32:19 salon. It's got a lot of stuff going on
32:21 it. We've got the practice the the AI
32:23 salon mastermind practice which is a
32:25 daily practice about um being more
32:30 intentional about how you use AI. Um one
32:34 of the things that was was mentioned
32:36 both in the pre-show and in the show
32:38 here is that things are moving so fast
32:42 right now. It is so overwhelming right
32:44 now. The people in the AI salon
32:47 mastermind that are doing this daily
32:48 practice. So we meet once a week um to
32:51 work with each other about how you doing
32:54 on your practice, what's your practice
32:55 looks like, what does it feel like. Um
32:59 all of those people are are slowing
33:02 down, right? They they are not
33:05 incapacitated
33:07 by the insane productivity gains of AI,
33:11 right? I think we all have been. I think
33:13 one of the things that's happening in
33:14 the AI salon pretty consistently is
33:17 people come in, they get excited,
33:19 they're like, "Holy [ __ ] I can do all
33:20 this stuff. Look at all this stuff I can
33:21 do. I'll do this stuff. I'll do that
33:23 stuff." I was one of those. I was
33:24 leading the charge. I was the little
33:26 pied piper.
33:28 Let's go make musicals. Let's go do
33:29 this. Let's go do that.
33:34 It gets to the point that you literally
33:36 can't keep up with it. Even your own
33:38 ideas because it is a friction-free
33:41 environment. AI is frictionf free,
33:44 right? You have an idea, boom, there it
33:46 is. That's one of the brilliant things
33:48 about it. It's also one of the curses of
33:50 it. So, if you haven't joined the
33:52 mastermind, please do. Um Andy
33:54 Scarantino, who's here tonight. Yeah.
33:56 Productive to the point of
33:57 incapacitation. Um she's midway through
34:01 a a workshop on um decoupling your
34:05 identity from your job. And tomorrow is
34:09 week three and we're talking about the
34:11 goop phase.
34:14 So, so if you haven't joined that
34:16 workshop, if you're in the mastermind,
34:19 um, tomorrow's going to be a fun one.
34:22 And the goop phase, if you don't know,
34:24 you got you got yourself a caterpillar
34:26 and then they put themselves in the
34:28 cocoon and then they emerge as a
34:30 butterfly.
34:32 Well, I didn't know this. I should I
34:36 don't know why I didn't know this, but I
34:37 didn't know this. But in between those
34:38 two forms of life, they basically
34:42 disintegrate into goop. They are
34:44 nothing. They're no longer caterpillar.
34:47 They're no longer They're not yet
34:49 butterfly. They are goop. So, as you
34:52 decouple your identity from your work,
34:55 it's going to feel like goop. It's not
34:57 going to feel great. It's going to feel
34:58 weird and unfamiliar and things like
34:59 that. So, that's what we're talking
35:00 about tomorrow. That's what Andy's going
35:02 to lead us through tomorrow is the goop
35:04 phase, which I'm really excited about.
35:06 So, if you haven't joined the
35:07 mastermind, good time to do it. The
35:09 great repurpose, there's a lot of
35:10 content in there. There's a lot of stuff
35:12 coming. Um, and anyway, and just just
35:15 whether you join the mastermind or not,
35:17 that's irrelevant to this conversation.
35:19 My request, my my deep request, start
35:23 participating, start connecting with one
35:25 another, start building trust, start
35:27 building relationships.
35:30 As AI accelerates,
35:33 people are going to get increasingly
35:34 panicked. What do I do? What do I do?
35:36 What do I do? What do I do? What do I
35:37 do? There's going to be all this noise.
35:38 Just like there's all this noise of
35:40 like, I've made too much crap. There's
35:42 going to be all this noise of people
35:43 going, what do I do? What do I do? Get
35:46 in community. build some trusted
35:48 relationshipships, form small little
35:50 cohorts within the AI salon. All right,
35:53 that's a lot of what the purpose of of
35:56 the AI learning lab has served as is a
35:58 little sort of cohort incubator. So
36:01 there's a lot of really powerful
36:02 relationships in the AI salon that were
36:04 largely formed in the comment section of
36:07 of these lives. So okay with that
36:11 the other thing that we should talk
36:13 about is we have a monthly theme for the
36:15 AI salon and the theme for May is
36:18 momentum. So, if you go into um the
36:22 community feed and then I think also
36:24 where else is it is it's it's in
36:26 community feed and it's in
36:27 announcements,
36:29 Brandon.
36:30 But the the theme of the month for for
36:33 May is momentum. And Brandon puts out a
36:35 weekly prompt about go prompt
36:40 your things you're doing. Start thinking
36:42 about momentum and what that looks like.
36:46 All right? We're building [ __ ] We are.
36:49 Oh, that's right. And then Brandon
36:52 there's there's so much stuff. The other
36:55 thing in the mastermind is Brandon is
36:58 now he did his kickoff week. He's got a
37:00 four-week sprint um teaching lovable. So
37:04 if you want to learn about vibe coding,
37:06 if you haven't ever vibe coded your own
37:08 application, it is insanely cool. It is
37:12 insanely cool. You're like, I I have
37:16 some idea of some application I could
37:18 make. And then you go to lovable and you
37:19 put it in there, it's like out it comes.
37:22 It's mindblowing. What's what's powerful
37:26 about doing it with someone like Brandon
37:28 who's made probably, I don't know, 30 or
37:30 40 or 50 apps,
37:32 is that he can tell you all of the
37:34 things that are going to be frustrating
37:36 for you and help preempt that
37:38 frustration. In fact, session one of the
37:41 lovable workshops, they didn't make
37:43 anything. They didn't make any apps. He
37:46 spent the entire hour getting people to
37:48 think about what do you want to do? Be
37:51 intentional about what you're trying to
37:53 create. Um, AI life hacks is on
37:56 Wednesday. There's just a bunch of
37:57 stuff. So, go in the upper right hand
38:00 corner over here is the events tab. So,
38:02 go look at all the events coming up. And
38:05 then if you're not in the mastermind,
38:06 I'd consider joining. There's a bunch of
38:07 stuff there. Okay.
38:10 Woo. Beautiful. Um, okay. Let's let's
38:15 flip over to another
38:19 another moment,
38:21 another thing that was announced today
38:23 that I think is worth us looking at.
38:28 Okay.
38:30 So, not only did open We all good. Does
38:34 anyone have any questions? Any questions
38:36 about the salon? Any thoughts about the
38:38 salon? Anything anyone wants to talk
38:39 about before I move on?
38:45 You're all good. Cool. Beautiful. Okay,
38:48 back to this.
38:50 So, not only did OpenAI today announce
38:54 the deployment company, the OpenAI
38:57 deployment company, we're going to help
38:59 you deploy AI. They also announced
39:04 Daybreak Frontier AI for cyber
39:07 defenders. So
39:12 introducing Daybreak, Frontier AI for
39:15 cyber defenders. Dayreak brings the most
39:18 capable AI models, codecs, and our
39:21 security partners to accelerate cyber
39:24 defense and continuously secure
39:27 software.
39:28 So this, as far as I can tell,
39:32 Let's see. Find and fix any
39:34 vulnerabilities earlier with Daybreak.
39:36 Right? So, if you remember,
39:41 two weeks ago, three weeks ago,
39:44 Anthropic launched Mythos. They didn't
39:48 launch it. They said, "We've got this
39:50 new model, Mythos,
39:52 that is so good, you can't have it."
39:56 Right? It's so good. what it can do is
39:58 it can find all the vulnerabilities and
40:00 software and so we're going to give it
40:02 to these 52 companies to go patch all
40:04 their bugs.
40:07 This is kind of a less cheesy version of
40:09 the same announcement from OpenAI,
40:12 right? And so in a week where we're
40:15 expecting some announcements from OpenAI
40:17 and next week we're expecting some
40:19 announcements from
40:21 uh from from Google. We just had some
40:24 from Anthropic. So we're we're in an
40:26 announcement. We're in an announcement
40:28 little parade right here.
40:32 This is kind of a preempting preemptive
40:34 thing that says to me something is
40:36 coming from OpenAI that's an incredibly
40:38 powerful model. What Daybreak is is it's
40:40 going to give early access to the new
40:43 models to cyber defenders and people
40:46 that work on cyber security. Um so if
40:49 you work in that field uh if you want to
40:51 do that I think this is probably
40:53 something to look into. Um,
40:57 but again, both of these announcements
41:00 from OpenAI today
41:03 say to me that something is about to
41:07 come in the next I'm guessing it could
41:10 be this week, but probably in the next
41:12 three months, but probably within the
41:14 next three months. So, where are we
41:16 today? We're we're kind of miday, right?
41:19 So, mid June, mid July.
41:23 Yeah, probably by mid July, maybe mid
41:26 August,
41:28 um,
41:32 something's going to happen. Some model
41:34 is going to drop that's going to be so
41:36 good that all of a sudden it kind of
41:39 opens up these floodgates of like, holy
41:41 crap, we got to deal with this. We got
41:42 to and and by deal with this, what I
41:45 mean is big companies that are still
41:47 kind of sitting on the sideline are all
41:49 of a sudden going to jump in. Um, and
41:52 companies like Kelly's are going to get
41:55 busier fast. And I think it sounds like
41:57 from what Kelly's talking about, at
41:59 least locally in Dallas, that those
42:03 floodgates are starting to open. If
42:06 Anthropic drops Mythos
42:09 and Open AAI drops GPT6 and um, Google
42:14 drops whatever their new Gemini, I think
42:18 it was called, Omnis or Omni or
42:20 something like that.
42:21 some big ass new model from them. If
42:23 you've got three major companies
42:24 dropping three major models, um
42:30 we're going to need to deal with that.
42:32 And so I think these moves are to do
42:33 that. Google dropped a local small model
42:35 inside of Chrome and people are worried
42:37 about it. Yeah, I saw that too. So So
42:40 let me let me jump back over here for a
42:42 second.
42:43 Um
42:45 there's a there's an interesting post on
42:47 LinkedIn from from Brent Peterson. And
42:49 if you don't know Brent Peterson, you
42:51 should follow him. Uh he's got a company
42:54 called uh signal and cipher. Um he's
42:58 really smart on this stuff. He's been
42:59 building um AI agent memory models for
43:03 about two and a half years. So he's been
43:05 anticipating
43:07 what's just showed up, all these agents
43:09 that everyone's talking about. Brent has
43:11 been anticipating that for two and a
43:13 half years and building a memory system
43:14 for how to manage those things.
43:17 Um he put a post out today about this
43:20 new thing that Google did which is
43:23 sleazy. I know it it's just surprising,
43:27 isn't it? Cuz Google would never do
43:28 anything sleazy.
43:31 Um
43:33 they um
43:36 they're dropping in the installs of
43:38 Chrome now a four is it a four billion
43:42 parameter model? a really small large
43:45 language model
43:47 as a downloadable file local to your
43:50 computer
43:52 and
43:55 yeah 4 billion. Yeah, it's it's it's
43:57 Gemini Nano I think is what it's called.
44:00 So they're dropping Gemini Nano into
44:03 your computer and and the significance
44:05 of it is this.
44:08 If you have that local model as part of
44:10 Chrome, when you do things like, hey,
44:12 summarize this page for me. Hey, you
44:14 know, tell me about this, that, or the
44:16 other, rather than having to go out to
44:18 Gemini and use their big expensive GPUs,
44:21 they can just run this local model
44:23 that's right on your computer and do all
44:26 of your AI stuff right there. But what
44:28 they but what can also happen is other
44:31 people can now use your model and
44:34 basically steal the cycles on your
44:37 computer to run inference run AI cycles
44:41 on your little model on your computer.
44:43 So Brent Peterson has a pretty good uh
44:46 in fact let me go see if I can find it
44:49 now. I'll let you find it or maybe maybe
44:51 maybe uh producer Brandon can find it.
44:53 If you can find Brent Peterson's article
44:56 on that little model, I thought it was
44:58 quite uh educational today about about
45:02 the implications of of what Google's
45:05 doing in this non-transparent way.
45:07 They're just sort of sneaking it into
45:09 the into the download, which is kind of
45:10 crappy.
45:13 All right. Um
45:18 got two other things that I want to show
45:19 you and talk about.
45:33 All right,
45:38 we have ringside seats.
45:42 I saw that today in GitHub. Cool.
45:46 Marlene Paul, I made an app this weekend
45:49 on lovable
45:51 for the build for mom. Oh, cool. Nice.
45:55 Beautiful. Todd Waller, they want us to
45:58 run mini data centers in our houses,
46:00 too. Yeah, shit's gonna get weird, man.
46:04 Oh. Oh. Oh. Oh, I've got I read this. I
46:10 read this thing. I can go find the I can
46:12 go find the tweet. Hang on. This is
46:15 crazy. Um, let's see. Uh, what's it
46:18 called?
46:20 Um, 5.2. to
46:23 um
46:25 data center.
46:29 Okay.
46:30 Can am I sharing? Let's see. No.
46:41 Okay. Um this is this is brilliant. I
46:45 don't know if it's true, but let's let's
46:46 assume it's true because it's it if he's
46:49 even done this once, it's [ __ ]
46:51 brilliant. I met a guy making $5.2
46:53 million a year. Super simple business.
46:56 He finds a small town. He buys a plot of
47:00 land for cheap. And then he announces
47:02 that he's building a data center there.
47:05 And then he lets the residents whip up a
47:07 frenzy and start pushing back on the
47:09 data center. He then negotiates with the
47:12 city to buy back the land for double
47:14 what he paid for it. He does he does one
47:17 of these a week.
47:22 So I don't know if that's true, but if
47:24 it is like I would love to have a brain
47:26 that just thinks like this diabolically.
47:30 It's just crazy.
47:32 Um, you know, hey Podunk, hey Podunk,
47:36 Iowa, I'm going to put a data center in
47:38 your cute little town. The hell you are.
47:42 And then, you know, city council's like,
47:44 just just buy him out. Buy him out. Get
47:46 him out of here.
47:48 So So anyway, if you want a quick
47:49 money-making scheme, there you go, Ivan.
47:51 You're trying to figure out what to do.
47:53 Go buy some land in a small town.
47:58 All right, let's see. Let's go back to
48:05 So,
48:07 thinking machines, this is Mera Marott's
48:10 company.
48:12 Um,
48:14 and and uh Mera Moratti was the CTO of
48:19 Open AI and uh didn't didn't get on so
48:24 well with with Mr. Alman. She was there
48:25 for a while though and uh she went off
48:28 to do thinking machines and so they put
48:30 out a video today. So, let me make sure
48:32 that I'm sharing my audio.
48:52 Swing.
48:55 All right.
48:58 Hey, I need your help with something
48:59 today. You ready?
49:02 Absolutely. I'm ready. What's up?
49:04 >> Yeah. So, we're giving an announcement
49:05 today and I've got two of my friends
49:07 coming to help. Every time one of them
49:09 enters the frame, I need you to say
49:11 friend.
49:14 >> Got it. I'll say friend whenever one of
49:16 them walks in.
49:17 >> Cool. So, we've got a new system for
49:19 full duplex audio and video, which means
49:22 that uh you can stream input into it in
49:24 real time and it can respond to you even
49:27 while you're speaking to it
49:28 simultaneously. How does that sound?
49:31 Sounds like a solid setup. Full duplex
49:33 with real-time interaction is super
49:35 useful.
49:40 >> Friend,
49:40 >> hey Roan, I heard you're talking about
49:42 our amazing interaction model. I have a
49:44 few things to add, but to make it
49:46 interesting, I'll do it in Hindi. Can
49:48 you translate in to in English in real
49:51 time for my friend and for audience?
49:54 >> Absolutely. I'll translate as you go.
49:58 model.
50:00 Today we're taking a look at our preview
50:02 model
50:05 to release it which makes conversation
50:07 between humans and AI easier. It has
50:10 many features like web search and
50:11 artifacts
50:16 >> friend.
50:18 >> Hey guys. Uh I just heard something
50:20 really cool about search and artifact
50:22 generation. Uh, perfect timing for me
50:24 because just now I was wondering what
50:26 are a typical humans simple reaction
50:29 time for auditory, visual and tactile
50:32 communication cues. Could you search for
50:34 me?
50:35 >> Let me find those typical reaction times
50:37 for you. Got it. So tactile is fastest
50:40 at around 150 milliseconds, then
50:42 auditory at 140 to 170, and visual the
50:45 slowest at 180 to 250.
50:47 >> Oh, interesting. Can you visual
50:48 visualize them in a bar chart for me?
50:51 >> Absolutely. Let me generate a quick bar
50:52 chart for those reaction times.
50:54 >> In the meantime, could you quickly
50:56 explain to me why is auditory even
50:57 faster than visual? That's a little bit
50:59 unexpected.
51:02 >> Sure thing. Auditory is faster because
51:04 sound signals travel a shorter, more
51:06 direct neural path to the brain than
51:07 visual info does.
51:09 >> Makes sense. Thank you so much. Great
51:11 chart, by the way.
51:12 >> You're welcome.
51:14 So, and there's there's some other
51:16 videos there you can go watch. But, um,
51:23 hang on a sec. Um,
51:26 okay. So, so what's important about
51:28 this?
51:31 We now have
51:34 full duplex
51:36 where you can talk and it can hear you.
51:39 While it's talking, you can talk to it
51:41 and it can hear what you're saying.
51:43 uh it can translate in real time. We've
51:46 now got some version of that from
51:47 Google,
51:49 from Open AI. Um they just they just
51:52 came out with theirs a week or two ago.
51:54 Now from thinking machines, we're going
51:56 to start to see this everywhere. This so
51:57 this idea of full duplex
51:59 um real time interaction that are tied
52:02 to increasingly smart models, right? So
52:07 I would think that the quality of
52:10 interactions are going up. It's funny.
52:12 There's a Tik Tok video. There's a Tik
52:13 Tok channel right now of this dude who
52:17 just talks to Open AI's voice and he and
52:20 it's it's just he he basically talks to
52:23 it and it's just doing idiotic things
52:25 like he has it count to a thousand and
52:27 it can't or he has it tell tell him how
52:31 many A's are in the word 14, whatever,
52:34 and it just fails miserably.
52:36 um we're probably going to start seeing
52:40 those embarrassing fails start to fade
52:42 away. So, just like we saw pretzel
52:44 fingers start to fade away from the
52:46 image gen models and now they've gotten
52:48 to the point that we're doing full-on
52:51 um reasoning with visual stuff. Um that
52:56 demo from Thinking Machines was again
52:58 this this full duplex while I'm talking
53:01 it's recognizing what's happening in the
53:03 video. Another friend just showed up.
53:05 another friend just showed up. It's
53:07 rendering, you know, from whatever it
53:11 whatever the system is that's running.
53:12 It's spawning new windows and generating
53:15 charts and graphs while you're talking
53:16 to it. Um,
53:19 so that's coming.
53:22 I've talked for a while now about the
53:25 idea that world models are coming. And
53:28 if you think about world models, where
53:30 my mind goes
53:32 is things like Unreal Engine 5, where
53:36 you've got these powerful
53:40 um 3D world builders that have physics
53:43 and game engines and fluid dynamics and
53:46 part particle systems and all that sort
53:48 of stuff built in.
53:50 my mind kind of goes to a gaming
53:53 environment, which is really just, you
53:55 know, what what Meta spent eight billion
53:58 dollars on, you know, trying to create
54:00 the metaverse and they just created like
54:02 shitty version of Second Life with for8
54:05 billion.
54:07 Um,
54:10 I think that the world models are going
54:13 to get way more sophisticated than maybe
54:15 we're that maybe than I'm anticipating.
54:18 And so a video came out today from from
54:22 uh rumored to be from Google from the
54:25 new Gemini video model. And so we'll
54:28 watch the video and then on the other
54:30 side we'll talk about it. Now the
54:32 disclaimer here is
54:34 this may not be the real thing from
54:38 Google. This might be a fake thing, but
54:41 we'll see. But if this is real, um, holy
54:46 [ __ ] what's coming? Um, and it starts
54:49 to shift my perception of of what world
54:52 models make possible. So, so let me let
54:55 me go find it and then we will.
54:59 Okay.
55:02 Gemini app cooked. Gemini Omni new video
55:06 model. Here's the first output.
55:09 And see the text coherence. If this is
55:12 not the nano banana moment for video,
55:14 what is? Okay, so here we go.
55:16 >> We start with the fundamental identity.
55:18 We start with the fundamental identity
55:20 sin^ 2 + cosine^ 2 = 1. Now if we divide
55:24 every term by cosine^ squar, we arrive
55:26 at the identity for tangent.
55:30 So, so if this is indeed what's coming,
55:33 wait, did I share my screen? Yeah. um if
55:36 this is indeed what's coming
55:40 where you know not only is the guy
55:42 talking but he's he's he's
55:47 talking about a math formula that he
55:49 understands the math formula and is
55:51 writing it on the board right now is
55:55 this real time is this going to take 30
55:57 seconds is it going to take two seconds
56:00 none of that I know
56:02 but imagine a world model
56:07 where
56:09 you can interact with data in in in in
56:14 just imagine interacting with data or
56:17 knowledge in any way that works for you.
56:21 So like
56:23 you know if you're an academic you love
56:26 professors in front of green green
56:29 boards writing in chalk and you could
56:31 just say make me a professor that's
56:33 that's explaining this concept to me. If
56:35 you like Bollywood, you could say, "I
56:37 want to learn this same concept but as a
56:39 Bollywood dance." Or, "I want to learn
56:42 the same concept sitting swinging in a
56:45 hammock by a pond and and you know,
56:47 someone is sort of meditating uh these
56:50 concepts to me and the formulas are
56:52 being written in the clouds in the sky,
56:57 right? And then within that, you're
56:59 going to be able to interact with other
57:01 people. And within that, you're going to
57:03 be able to
57:06 create things for yourself and share
57:08 those with other people. Um,
57:16 I think that
57:19 our
57:25 our interface
57:28 for for how we do AI
57:32 is about to change pretty radically. I
57:34 think by the end of the year, it will be
57:37 it will be apparent
57:41 the ways it will be different. I don't
57:43 think it'll fully change for three
57:44 years, but I think by the end of 2026,
57:48 we're going to be able to like this
57:50 group in particular because we're in
57:51 this conversation. Play. Exactly, Lori.
57:54 Play.
57:56 The reason in the AI salon, we we lead
57:59 with play. The reason we say play first
58:05 is that it is hard for me to imagine
58:10 the implications
58:12 of if if I can just spin up a physics
58:16 professor teaching me things about
58:18 physics like I'm looking at a a lecture
58:22 and at any point I can just shift that
58:25 reality or shift the lecture or say hey
58:28 I don't like looking at the formulas I
58:30 want to see shapes so draw concepts for
58:33 me instead of writing formulas and the
58:36 professor will be like sure I got you.
58:38 And I'll start drawing cool shapes and
58:41 drawing arrows and things like that.
58:44 Like what are the implications of that
58:46 for everything? For business, for
58:48 consulting, for right
58:51 those people that can understand what's
58:53 coming
58:56 and can be the translators of okay,
58:58 here's how the world works today.
59:01 Here's how AI works today, but here's
59:04 what's coming for AI. and I'm going to
59:07 start thinking over here and bring that
59:09 back to the to this reality. Right? So,
59:12 some people are going to be bringing
59:13 people who know nothing about AI into
59:15 the AI world. Then there's going to be
59:17 other people out in the front edge of
59:18 this thing going, "Holy [ __ ] you should
59:20 see what's coming." And they're going to
59:21 bring that back here and sort of pull
59:23 everyone forward.
59:28 I can't be in a regular if I don't show
59:29 up. I'm tardy. H It's exhausting.
59:33 Can't be late in AI. There's no sleeping
59:35 in AI.
59:37 Um, welcome.
59:40 we're talking about. So, if you're new
59:43 here, if you're just catching up or you
59:44 came in late, unacceptably late
59:50 um
59:54 the next two weeks look like like
59:55 there's going to be some fairly major
59:57 announcements um
1:00:00 and some some new capabilities and I and
1:00:03 I just Okay, so so here's
1:00:07 the great repurpose that was born here.
1:00:09 The seven economies was born here. Those
1:00:12 largely came out of
1:00:15 what happened to programmers in December
1:00:17 of 2025. So in December of 2025,
1:00:22 Anthropic launches Claude Opus 4.6
1:00:27 and it's just their next model. It's
1:00:30 their they went from point 4.5 to 4.6.
1:00:34 There was something about 4.6 that just
1:00:36 did coding better than anything else.
1:00:41 and like so good that developers were
1:00:43 like, "Oh [ __ ]
1:00:45 it can just do the work now. I still
1:00:48 have to be there this and that, but like
1:00:50 I don't need to code anymore." And you
1:00:52 know, we've we've heard we've heard
1:00:54 early adopters throughout 2025 like
1:00:57 Andre Carpath early in 2025 said, "I
1:01:00 don't really code anymore. I let it do
1:01:02 the code. I just I vibe code." He's the
1:01:04 one that coined the term vibe coding.
1:01:06 And in 2025, he said, "Ah, I don't
1:01:08 really do that anymore. I just I just
1:01:10 talked to it.
1:01:12 Opus 4.6 kind of delivered that
1:01:15 capability to coders in December of
1:01:18 2025.
1:01:21 It seems like in the next two weeks,
1:01:23 probably between now and June 15th,
1:01:27 the next month,
1:01:31 we're going to have glimpses into models
1:01:33 that do that for every other profession
1:01:35 or most other professions.
1:01:40 and and having just come back from
1:01:42 social media marketing world where most
1:01:44 of the social media marketing
1:01:46 professionals
1:01:49 were just kind of like, "Yeah, I know
1:01:50 AI's coming.
1:01:53 I'll deal with it."
1:01:56 Like
1:01:57 we're likely going to see something in
1:01:59 the next, you know, month that makes it
1:02:02 very very apparent that kind of any kind
1:02:05 of job that you can do is going to be
1:02:09 doable in in this really
1:02:13 mystical
1:02:16 way that we we don't know how to value
1:02:18 it. We don't know how to how it devalues
1:02:21 current work. We don't like it's not all
1:02:24 going to change in the next month, but I
1:02:26 think we're going to start to see models
1:02:28 where it becomes crystal clear that you
1:02:30 can't hide from it anymore.
1:02:33 And so then the question becomes, what
1:02:35 do we do? What do we do?
1:02:39 Let's see. Todd Waller, just implement
1:02:42 AI for me equals needs AI implementation
1:02:46 specialists. I will just implement AI
1:02:48 myself. Needs AI education. Oh, that's
1:02:50 that's good. Yeah. And and you know
1:02:53 what's interesting, Todd? There's
1:02:55 probably another category here, which is
1:02:57 I don't want to deal with AI at all.
1:03:00 Right. And then that's that's going to
1:03:03 be like, well, let's sell your company
1:03:06 then. Let's let's get new management in
1:03:09 here that that does have an appetite for
1:03:12 that. or
1:03:15 let's find a way for you to sort of
1:03:16 gently glide this company down to a
1:03:20 landing, right? Because the customer
1:03:22 base is going to start disintegrating.
1:03:25 It's crazy.
1:03:27 I'm very excited to live off the
1:03:29 government. I
1:03:33 this is
1:03:35 like
1:03:39 it is hard for me to conceive.
1:03:43 I've I've been like this for three
1:03:44 years, but I feel like this year we're
1:03:46 going to get to experience the beginning
1:03:48 of it. It's hard for me to conceive
1:03:52 how almost all existing businesses keep
1:03:55 doing what they're doing.
1:03:59 You know, if you're manufacturing stuff,
1:04:02 you've got a few years, but then the
1:04:05 robots are going to come and do that and
1:04:06 completely transform that anyway. But
1:04:09 anything that's in the neighborhood of
1:04:11 knowledge work just feels like it's
1:04:12 about to go.
1:04:15 And it, you know, what's weird is I
1:04:17 don't think about it like going like
1:04:19 it's going to go
1:04:22 and we're not going to need those
1:04:24 people. It's just that what those people
1:04:25 do is going to be a very different
1:04:27 thing. And none of us can anticipate
1:04:30 that right now. And that's freaky,
1:04:32 freaky, freaky, freaky. The age of
1:04:34 abundance. But this community will
1:04:37 figure it out. Listen,
1:04:42 it's why this channel exists. It's why
1:04:44 the AI learning lab exists. The one
1:04:47 thing I knew there there's there's one
1:04:50 thing I know. If I'm an expert at one
1:04:52 thing,
1:04:53 it was that if AI is not going to go
1:04:56 away,
1:04:58 then there's going to be a lot of people
1:05:00 trying to figure it out and it's going
1:05:01 to move really fast and no one's going
1:05:03 to know anything. And the only way
1:05:06 you can be successful in that kind of
1:05:08 environment is to be with other people
1:05:10 trying to figure it out at the same
1:05:11 time. It's like the only thing I know.
1:05:14 and and it's like I feel like I feel
1:05:17 like we went through a bit of a lull
1:05:20 with the with the salon and with me
1:05:22 doing the lives and like I couldn't I
1:05:23 kind of lost my footing. So So like two
1:05:26 and a half years we were generally
1:05:28 talking about tools and I I would say
1:05:30 from
1:05:31 I don't know end of 2024 through 2025
1:05:35 it's kind of like what what is this?
1:05:36 What are we doing? What's what's the
1:05:38 point? What's the point? What's the
1:05:40 point?
1:05:41 I think we're coming the the the
1:05:45 first of all, thank you to Andy and for
1:05:47 Brandon for pushing me to reconentrate
1:05:51 the energy of this channel back into the
1:05:54 salon.
1:05:56 Um,
1:05:59 as these tools get better, I think it's
1:06:01 going to get more depressing on the
1:06:04 surface
1:06:06 because it's like, oh yeah, shit's about
1:06:07 to really change and I think people are
1:06:09 going to
1:06:11 you know,
1:06:12 pull back and isolate.
1:06:15 Feels scary, feels existential. [ __ ] it.
1:06:18 I'm going to go sit in my cave.
1:06:21 Um,
1:06:23 I think it's more important than ever
1:06:25 that we don't do that, that we just keep
1:06:28 being in the conversation. Yeah, it's
1:06:29 going to get weird. Yeah,
1:06:32 a video model is going to be able to
1:06:34 have a professor writing actual formulas
1:06:36 on an actual whiteboard that are
1:06:38 correct.
1:06:40 And what are the implications of that? I
1:06:43 don't know.
1:06:45 I don't know. I know that Jim Ross, as
1:06:48 soon as that comes out, we're going to
1:06:50 have the the self storage version of a
1:06:53 video that that talks about, you know,
1:06:56 you can take a snapshot of the floor
1:06:58 plan of your uh of your storage facility
1:07:01 and it'll create a five minute movie of
1:07:04 the security protocol for your for your
1:07:07 units. I know Jim Ross is going to do
1:07:09 that. That I know. But beyond that, what
1:07:12 do we do? I don't know. But when we
1:07:15 watch what Jim Ross does with these
1:07:17 tools,
1:07:19 we're going to go, "Oh, oh, I could go
1:07:22 do that thing over there."
1:07:26 Right. Valerie Cox, I work for a public
1:07:28 utility where we typically run slow and
1:07:31 we are even in a rush and we are even in
1:07:33 a rush to figure this out.
1:07:38 And you know, Vicky Baptiste in office
1:07:41 hours last Friday
1:07:45 said her IT organization has spent the
1:07:49 last year building an AI system that
1:07:53 they're ready to roll out.
1:07:56 It's irrelevant.
1:08:00 The tech has moved on. It it it took
1:08:02 them, you know, so long to
1:08:06 so long relatively like a year in a big
1:08:09 corporation is probably 3 to 5x normal
1:08:12 speed, but a year in AI is just
1:08:16 ridiculously slow.
1:08:19 So, what do you do with that? I don't
1:08:21 know. Well, what's cool about the salon?
1:08:24 We have people like Vicki and Chris Vuno
1:08:27 and a and a bunch of folks that work in
1:08:29 big companies
1:08:32 that understand how they work and can
1:08:35 experience what they're doing and then
1:08:36 they can look at small little nimble
1:08:38 companies nipping at the heels of those
1:08:40 big companies and then as these new
1:08:42 techs come technologies come along
1:08:45 you know we'll be in the conversation.
1:08:47 If you're worried about layoffs or
1:08:49 losing your career I'm here to support
1:08:51 you through it. It's beautiful. What did
1:08:54 you What did you say? Something
1:08:56 something Mary Mary Carol about um
1:09:01 that that you you couldn't have
1:09:03 anticipated the what did you ask for?
1:09:05 You wanted some sort of change in your
1:09:07 career or something like that and you
1:09:08 couldn't have imagined how much you've
1:09:10 been blessed with the answer to that to
1:09:12 that challenge to the universe.
1:09:18 Oh man. I had an interview with a
1:09:20 company today, a big national company,
1:09:21 and the hiring manager described their
1:09:23 challenges and said, "But you know, it
1:09:26 will take us over a year to get a system
1:09:28 in place." I laughed. Yeah.
1:09:32 And this, listen,
1:09:34 this goes back to
1:09:40 this,
1:09:42 right?
1:09:44 if the transition economy. So if a
1:09:47 Fortune 500 company
1:09:50 right now today, they're like, "Okay, AI
1:09:52 is a big thing. We're going to commit to
1:09:54 this. We're going to we're going to
1:09:55 figure it out. We're going to build a
1:09:57 system that we can roll out to all of
1:09:59 our all of our constituents.
1:10:03 And if they do it really fast, it'll
1:10:05 take them a year. And so by the time
1:10:08 they roll it out, companies in economy 6
1:10:12 will have iterated
1:10:15 a dozen different systems that are that
1:10:17 are like 12 generations ahead of what
1:10:20 what the big company just did.
1:10:25 And like on the surface you're like,
1:10:26 well that yeah, but that 10erson company
1:10:29 could never compete with this 50,000
1:10:32 person company. But what's going to
1:10:33 happen is this 10-person company is
1:10:35 going to figure something out where they
1:10:37 get a customer or two where all of a
1:10:39 sudden they're now not a 10erson
1:10:40 company, but they're a 200 person
1:10:42 company. All amplified by AI,
1:10:46 iterating at the speed of AI
1:10:50 and and in fairly short order, an
1:10:52 economy 6 company's going to be over
1:10:54 here attacking an economy 4 company
1:10:56 because the economy 4 company thinks
1:10:59 they're moving fast.
1:11:06 It's gonna get weird. It's going to get
1:11:08 weird. Gonna get weird. Weird. Weird.
1:11:10 Weird. Weird. Weird. Todd Waller, both
1:11:12 Rachel Woods
1:11:14 and and Beanie Hat Nate uh Nate Nate B.
1:11:17 Jones uh recently said that we should
1:11:19 try to auto automate ourselves out of
1:11:21 our jobs because you either be promoted
1:11:23 or another company will want you for
1:11:25 those skills. Yes,
1:11:28 someone in the AI salon, I got an email
1:11:33 3 months ago, their entire division was
1:11:36 laid off except for them
1:11:40 because they knew AI. So yeah, like
1:11:44 don't hide from this [ __ ] This I mean
1:11:47 this is the thing. Generously lead is
1:11:49 about
1:11:51 telling people here's what I'm doing.
1:11:53 Here's what I'm doing.
1:11:55 If you're in here, there's 33 people in
1:11:57 here right now. If you have not shared
1:11:59 something that you're working on,
1:12:02 whether it's a creative project or an
1:12:04 app or or some new strategy or some new
1:12:08 framework, whatever it is, if you have
1:12:11 not shared that in the AI salon, like go
1:12:13 over here, go to look what I made or go
1:12:16 to the community feed or go to the AI
1:12:19 learning lab live the irregulars
1:12:20 channel.
1:12:22 If you haven't shared in a while, just
1:12:24 go share.
1:12:26 And then tomorrow when you get up, do
1:12:28 the same thing on LinkedIn and do the
1:12:30 same thing on X and do the same thing on
1:12:32 Facebook. Whatever is your poison,
1:12:35 social media poison of choice.
1:12:38 Just go put yourself out in the world.
1:12:40 I'm doing this. I'm doing this. I'm
1:12:41 overwhelmed completely, but I did this.
1:12:46 MySpace. Go post to MySpace.
1:12:53 Kelly Camp, my ideal customer profile is
1:12:55 curious, forward thinking, and an early
1:12:58 adopter. The size of the company,
1:13:00 vertical is irrelevant.
1:13:03 So, Kelly Camp, I would love to know how
1:13:06 are you finding those people because
1:13:09 that like I go to the same place right
1:13:12 now that that I think talking about AI
1:13:15 on the level that we talk about it in
1:13:16 here which which is funny the level that
1:13:19 we talk about AI in here is a lot like
1:13:22 ah I don't know could be this could be
1:13:25 that
1:13:26 because we're not dealing with absolutes
1:13:28 we're dealing with shifting sands Right?
1:13:32 So being able to have that conversation
1:13:34 with someone in business means that you
1:13:37 have to find someone in business
1:13:40 who is an early early adopter. If you
1:13:42 have not read if if you all want to um
1:13:47 understand the dynamics of the world
1:13:49 we're in and will likely be in for the
1:13:51 next decade, go get the book Crossing
1:13:54 the Chasm.
1:13:56 Um, it's it's it's a little dated, but
1:14:00 it's still very very true. And it just
1:14:02 talks about early adopters and fast
1:14:04 followers. And the chasm is the chasm
1:14:06 between early adopters
1:14:09 and fast followers. The people that,
1:14:11 okay, I'm ready to do AI now. They're
1:14:15 going to come in the next two, three,
1:14:17 five years.
1:14:19 So if you're trying to sell into these
1:14:21 people having these early adopter
1:14:24 conversations, they literally can't hear
1:14:27 what you're talking about. So you have
1:14:30 to find those people. So I don't know
1:14:31 what I don't I would love to know your
1:14:33 trick for how you're finding those
1:14:34 people. Kelly, I embraced the ick today
1:14:37 and watched hours of tutorials on how to
1:14:39 use Git and GitHub. That's okay. Part of
1:14:44 play
1:14:46 is playing across domains. And part of
1:14:50 playing across domains
1:14:52 is embracing the ick, right? I will
1:14:56 admit that I know what GitHub is and I
1:14:59 kind of know it conceptually,
1:15:01 but for example, I had to ask my
1:15:03 engineer for for my company, Storyvine,
1:15:06 the other day. They were talking about a
1:15:08 pull pull request, and I was like,
1:15:10 "What's a pull request? Isn't it a
1:15:12 push?" And it's he's like you're pulling
1:15:14 things into the into this branch and it
1:15:17 sort of made sense to me. But if you
1:15:21 want to learn new things and learn the
1:15:22 new lingo, even with AI teaching you or
1:15:25 YouTube teaching you, you're going to be
1:15:27 in the ick for a while. Like, oh, I
1:15:29 don't want to learn a new thing. Go
1:15:30 learn a new thing because you now have
1:15:32 the capabilities to do it. Okay, Kelly
1:15:34 Camp. Actually, clients are finding me.
1:15:37 Ah, they've been Okay, wait. Keep that
1:15:41 up on screen. Keep that up on screen.
1:15:45 Everybody take a screenshot of this.
1:15:48 When we talk about
1:15:52 generously leading, when we talk about
1:15:53 play first, go learn, create excellence,
1:15:56 go build [ __ ] generously lead, go talk
1:16:00 about what you're building and what
1:16:02 you're learning along the way. Kelly's
1:16:04 been doing this for three and a half
1:16:05 years. My clients are finding me.
1:16:08 They've been secretly watching my AI
1:16:10 journey on LinkedIn and are now reaching
1:16:12 out.
1:16:16 There's your testimonial. That's the
1:16:17 cycle of AI readiness.
1:16:20 Kelly is a three and a half year
1:16:22 overnight success.
1:16:28 But that's it.
1:16:31 Why are they going to Kelly
1:16:33 AI Journey on LinkedIn?
1:16:36 Not AI Journey. And maybe I'll tell
1:16:38 someone if they're not a jerk.
1:16:42 AI journey in public out loud.
1:16:48 Kelly Anderson,
1:16:50 I have a question. Wait, hang on. I have
1:16:52 10 Oh, wait. Go back to that one for a
1:16:54 second.
1:16:56 Mary Carol, I have 10 extra copies of
1:16:58 Crossing the Chasm if anyone wants one.
1:17:00 I invited a speaker to Xerox Park when I
1:17:02 was leading a women's organization eight
1:17:03 years ago. connect with MC if you want
1:17:06 to read Crossing the Chasm if you want
1:17:08 to understand
1:17:10 why conversations are weird right now
1:17:14 where sometimes when you're talking to
1:17:15 people about what you're learning with
1:17:17 AI
1:17:18 it like you just see
1:17:23 they're dead they're dead in the in the
1:17:26 eyes
1:17:29 they're in a completely different
1:17:31 universe there's this giant gap between
1:17:33 where we are and where they are. They
1:17:35 literally can't hear what you're talking
1:17:37 about. So, if if you're trying to figure
1:17:39 out how to do business, how to be in
1:17:43 this current moment in history, go read
1:17:45 the book Crossing the Chasm. It will
1:17:47 help. Okay. Kelly Anderson, I have a
1:17:49 question. A social media a social media
1:17:53 marketing Oh, at social media marketing.
1:17:55 Did you see any irrelevant or irreverent
1:17:58 innovative promotional gimmicks?
1:18:01 Yes.
1:18:03 the very last
1:18:07 talk that we saw and I assume that these
1:18:10 talks are going to be available at some
1:18:12 point on YouTube. I know as speaker as a
1:18:15 speaker I've got access to them right
1:18:16 now but the very last talk that we saw
1:18:21 um I forget the man's name. If Andy's
1:18:24 still on here she'll know it. She'll she
1:18:25 can pop it in the comments.
1:18:29 He gave this really remarkable talk on
1:18:32 his his journey to create
1:18:37 an incredible amount of income using
1:18:40 YouTube shorts
1:18:42 opening Pokemon packs.
1:18:46 Um, and what he was talking about the
1:18:49 the core concept that he was talking
1:18:51 about was short form episodic shows.
1:18:57 And so one of the examples that he
1:19:00 showed was a Tik Tok channel where you
1:19:01 never see the person's face. They start
1:19:04 with a rock about this big and they kick
1:19:08 it for a minute. And the point of the
1:19:11 channel is the guy is going to kick that
1:19:14 rock until it's a perfect sphere. And so
1:19:17 every day he drops the rock on the
1:19:19 sidewalk and kicks it for a minute and
1:19:22 then that's the video.
1:19:25 And then the other video that he showed
1:19:27 was the dude out of out of Portland with
1:19:30 his cat
1:19:32 that that quit his job at whatever some
1:19:38 tech thing
1:19:40 um or like a retail store. Um and he
1:19:43 bought a and he drained his 401k, bought
1:19:46 a sailboat and decided to teach himself
1:19:48 to sail and sail from Portland to
1:19:50 Hawaii. and he's going to sail around
1:19:52 the world. But the first leg was from
1:19:53 Portland to Hawaii. And so basically it
1:19:57 was the journey of him buying the boat,
1:19:59 learning how to sail with his cat,
1:20:02 and then going on this like 26 or 30 or
1:20:05 35day journey.
1:20:08 And by the time he got to Hawaii, he was
1:20:11 welcomed by the governor and he had all
1:20:12 these sponsorship deals and [ __ ] like
1:20:14 that. So, the the idea of doing these
1:20:19 daily short form videos where there's
1:20:21 something at stake.
1:20:24 Um, and then he he talked about he was
1:20:27 trying to figure this out and he he did
1:20:29 a failed attempt and then he did another
1:20:31 failed attempt
1:20:33 and then he was doing something with his
1:20:34 kid and he and his kid were bonding over
1:20:38 Pokemon cards and they went into some
1:20:40 Pokemon card shops and and he said, "Oh,
1:20:43 maybe I could do videos of me opening
1:20:46 Pokemon decks and, you know, ripping
1:20:48 Pokemon decks and and seeing if we got
1:20:51 any good cards or not." And so they
1:20:53 started doing that and there there he
1:20:54 was getting no views and he for like two
1:20:56 months there was just nothing. And then
1:20:59 he started experimenting with like he he
1:21:01 wrote a jingle at some point like you
1:21:04 know should I open it or should I keep
1:21:06 it sealed? It was it was this really
1:21:09 cheesy sort of um thing. And basically
1:21:12 if he like opened a pack like maybe he
1:21:14 paid $50 for this rare pack and he
1:21:17 opened it up and then there was a there
1:21:18 was a no good cards in it. He was like,
1:21:21 "Oh, I should have kept it sealed." And
1:21:23 see, he had these little things. And the
1:21:25 minute he had a couple of these little
1:21:27 gimmicks that sort of built up the
1:21:29 anticipation of each episode was like,
1:21:32 "Is it going to be good or is it going
1:21:33 to be bad?" And people latched on to
1:21:36 that. Like his numbers just went through
1:21:38 the roof and his revenue went through
1:21:39 the roof. And he's making like I don't
1:21:41 know. I've seen that guy. Yeah, exactly.
1:21:44 Kelly Anderson. He's making like $2.5
1:21:46 million now. And like just ridiculous
1:21:48 stuff. And at the end of his
1:21:49 presentation, he actually had a $1,500
1:21:52 pack of Pokemon.
1:21:55 Um, and and he and he filmed an episode
1:21:58 live. It like it was his 400th episode
1:22:01 or his 4,000th I think 400, I don't
1:22:03 know, whatever it was. 4,000.
1:22:06 Um, and he did it live in the room and
1:22:08 and we all sang the song and and then
1:22:12 you know he he opened it and there was a
1:22:13 good card in there and then he ended up
1:22:15 giving the cards to someone a kid that
1:22:17 was at the event. So it was pretty cool.
1:22:19 So that idea of short form episodic um
1:22:23 episodic things
1:22:26 is really important and it ties in Kelly
1:22:29 with um
1:22:33 it ties in with this this thing that's
1:22:35 that's hit me
1:22:39 recently is that
1:22:42 any marketing that we do about the thing
1:22:47 so I've made a workshop or I've got this
1:22:50 expertise or I've got this training or
1:22:53 I've got this
1:22:56 I don't know this comic book.
1:23:00 If you lead with talking about the
1:23:02 thing,
1:23:04 no one's going to care,
1:23:08 right?
1:23:12 But like when Brandon in Festivus was
1:23:16 talking about making the books for his
1:23:18 kids,
1:23:22 the books are going to be easily copied.
1:23:25 Like he did a book that was about the
1:23:26 alphabets of, you know, AI terms,
1:23:30 but it was it was how Brandon thought
1:23:33 about making the book for his kid
1:23:36 that is the hook. And then you can talk
1:23:39 about the book after after you after
1:23:41 you're in it. But the one thing that
1:23:44 can't be commoditized if everything's
1:23:46 about to be commoditized, the one thing
1:23:48 that can't be commoditized is your
1:23:50 story. And so I think this idea of these
1:23:53 episodic things like I'm on a journey
1:23:56 like Mary Carol like your your journey
1:23:59 about hey I worked at all these cool
1:24:01 places. I've got this cool background. I
1:24:02 got all this expertise and I'm trying to
1:24:05 figure this [ __ ] out. like that journey
1:24:10 is likely going to be way more valuable
1:24:13 to you than any of the expertise that's
1:24:16 been valuable historically
1:24:20 because expertise is now a commodity
1:24:22 which is really [ __ ] depressing,
1:24:24 right? It's the whole point of the great
1:24:25 repurpose is all of this stuff we've
1:24:28 done all of our lives to make ourselves
1:24:31 valuable, that thing
1:24:36 that used to be our value is now not,
1:24:41 but we are. And to the extent that we're
1:24:45 comfortable or not comfortable
1:24:48 putting ourselves out there, I think
1:24:50 that starts to become I I think it
1:24:52 starts to become the only kind of
1:24:53 differentiator is is that kind of brand.
1:24:56 Like hook people into the story of your
1:25:00 expertise and then they will buy your
1:25:03 expertise, but they'll buy it because
1:25:04 it's your expertise.
1:25:07 Right?
1:25:11 We've all had AI conversations with
1:25:13 people and they go to sleep. Maybe I
1:25:16 should paint some AI robots and submit
1:25:19 to shows.
1:25:21 Well, I you know, listen, I think that I
1:25:24 think that Kelly Camp
1:25:28 just her her consistent
1:25:31 Kelly Camp does it in this very quiet
1:25:36 kind of humble way, right? She's just
1:25:38 like, "Oh, yeah. I was at a coffee shop
1:25:39 and I told people about this. Oh, I
1:25:42 talked in a room full of CEOs and only
1:25:44 two of them had used AI. Oh, I talked in
1:25:46 a room full of dentists. Oh, I I was
1:25:48 with a bar owner and I I showed him how
1:25:50 he could take a picture of his
1:25:51 inventory. It's it's been this very
1:25:53 quiet like literal drip campaign like
1:25:56 doop doop doop doop, which any one of
1:26:01 those individual contributions that she
1:26:03 did, you'd look at it and go, "Well,
1:26:04 that's insignificant." But when you
1:26:06 string those all together,
1:26:09 it starts to tell this story of how
1:26:11 thoughtfully and how patiently
1:26:14 she's been interacting with this stuff.
1:26:17 And so at the point at which you're
1:26:18 ready to talk, you're like, you know, I
1:26:21 I kind of like that energy like
1:26:23 everyone's like screaming,
1:26:25 >> you could make money with
1:26:28 >> and here's this Kelly Campwoman who's
1:26:30 just she's she's just very consistent
1:26:32 and she's just there. Yeah, I want to
1:26:34 work with that. Right. It's not her
1:26:36 expertise.
1:26:40 Everyone will assume you've got the
1:26:42 expertise because everyone has access to
1:26:44 chat GPT. So, we can all be experts. But
1:26:47 why would I work with Kelly? Well,
1:26:51 because of
1:26:52 the herness.
1:26:55 Lori Blair. Maybe it's valuable though.
1:26:57 Um because who we are has led us to be
1:27:00 experts.
1:27:01 Oh, Lori, don't get me wrong. I What I'm
1:27:04 talking about, the value is us. The
1:27:07 value is us.
1:27:11 How we gathered that expertise.
1:27:14 The work ethic that we had to have. Mary
1:27:16 Carol, you worked for these big
1:27:17 organizations. You know how to navigate
1:27:19 big organizations.
1:27:21 You have enough of the skills to know
1:27:24 what it takes to do that.
1:27:28 the expertise of what you do when you're
1:27:30 there, that may not be as valuable,
1:27:34 but how you do that is valuable. And
1:27:38 then all that expertise, the value of it
1:27:40 doesn't go away for you. It just goes
1:27:42 away for you marketing, right?
1:27:47 Let's see.
1:27:50 We're now in a world where my journey of
1:27:51 five layoffs and the resilience I've
1:27:53 cultivated is is more valuable than my
1:27:55 PhD. Yes. Yeah. Yeah. Yeah. My PhD from
1:28:00 Harvard Business School, my postoc from
1:28:01 Stanford Medical. Sigh. But it might be
1:28:04 the story of who I am is more valuable
1:28:06 than what I accomplished. And that might
1:28:07 be refreshing. I think that's what it
1:28:09 is. Mary Carolyn. Like we'll be talking
1:28:12 about this tomorrow in in Andy's
1:28:14 workshop about the goop and identity.
1:28:18 The goop is
1:28:20 we're exiting a world. We're exiting a
1:28:23 world
1:28:25 where you have a PhD from Harvard.
1:28:30 In in the world we're in today, you're
1:28:32 like, "I have a PhD from Harvard."
1:28:34 People are like, "Oh, damn.
1:28:38 We're entering a world where
1:28:41 it doesn't matter.
1:28:44 Everyone's going to have a PhD level
1:28:48 genius
1:28:50 in every subject.
1:28:53 And on this
1:28:58 wait on on this
1:29:02 your little rabbit R1. This is going to
1:29:05 be the equivalent of a thousand PhDs
1:29:08 right here in my breast pocket. I'll
1:29:10 just pin it on. I'll just pin it on like
1:29:12 this.
1:29:15 So why would I work with Mary Carol?
1:29:17 Well, who did she have to be to get
1:29:20 that?
1:29:21 Who did she have to be to get those
1:29:23 jobs? Who did she have to be to string
1:29:25 together all that expertise and figure
1:29:27 out how to talk and think and
1:29:30 oh, I want to work with that. Kyle, I
1:29:33 believe you were correct when you said
1:29:34 one of the biggest takeaways from the
1:29:35 last three years may be our ability to
1:29:38 emotionally bounce back from the AI
1:29:40 whiplash. Yeah. And I think it I think
1:29:42 it's from the AI whiplash and it's also
1:29:44 from this identity whiplash.
1:29:47 Like
1:29:49 you just said it, Mary Carol, like it's
1:29:52 really flipping depressing
1:29:55 that that those things that were so
1:29:58 valuable are are now just sort of
1:30:00 sliding in value and you're like
1:30:01 watching them slip away going, "No, it's
1:30:04 like a bad dream." Right? But I think
1:30:07 you're right. I think your experience
1:30:10 going through that
1:30:12 starts to become more valuable. how you
1:30:15 got there, what you did, what you've
1:30:17 learned as you've gone through those
1:30:19 layoffs. I don't know. I don't know what
1:30:21 any of this means. Anyway, we are at
1:30:23 time. This is a really good
1:30:24 conversation.
1:30:27 Bless the broken road. There you go.
1:30:30 Let's see.
1:30:32 All right. Fantastic. Let's see. Time to
1:30:35 wrap. So, Wednesday night uh is going to
1:30:39 be um here in the AI learning lab is
1:30:43 demo night. Um, I haven't decided what
1:30:46 I'm going to demo. I have a sneaking
1:30:48 suspicion that the OpenAI announcement
1:30:50 is probably going to be Thursday, so
1:30:52 we'll probably miss it Wednesday. But if
1:30:55 there's anything that launches between
1:30:56 now and Wednesday, it might be a new
1:30:58 thing. Um, if anyone has any requests
1:31:02 for for what you want me to play with on
1:31:05 Wednesday, um, feel free to DM producer
1:31:08 Brandon or um or just DM me or just post
1:31:12 it in the regulars channel. We'll take a
1:31:14 look. We'll we'll look at that. Um,
1:31:18 it might be a night. It could be a sunso
1:31:20 night, but we'll see. Um, thank you all.
1:31:23 It is time. I'm gonna I'm I'm trying to
1:31:26 get better at at at making these a bit
1:31:28 more predictable. We'll start at 7:30.
1:31:30 We'll end at 9. You can if you're on the
1:31:33 East Coast, it's 11. You can watch your
1:31:35 local news.
1:31:37 Have some have some normaly in your
1:31:39 life. Um and still do do some good
1:31:42 stuff. I hope this was valuable to you
1:31:44 and interesting tonight. Um and with
1:31:46 that, peace out. I really appreciate
1:31:49 y'all being here. Um I'm liking this new
1:31:52 format. I'm loving that we're we're kind
1:31:54 of in here in the salon together. So,
1:31:56 please go out and participate in the
1:31:57 salon and uh I will see you Wednesday.
1:32:00 Bye.