
AI Learning Lab
1/28/2026 - Developing The Great Repurpose: A Framework for Post-Task Human Identity

Live Stream2026-01-292:02:49117 views
Description
Leverage your memory. Using your primary LLM as a feeder for other tools. Using your brain is over-rated. Come learn how!
Kyle demonstrates how to use ChatGPT as a centralized "home base" to master specialized AI tools like Manis and GenSpark Designer. Since ChatGPT retains years of memory and context, he instructs it to research the best prompting practices for external LLMs. This strategy allows users to craft sophisticated, structured prompts tailored to their goals without needing to learn every new tool's specific framework.
The session quickly pivots into a profound discussion about the existential "crisis of meaning" coming as AI automates work tasks. This leads to the creation of "The Great Repurpose," an initiative designed to help people find self-worth and purpose independent of their jobs. The core thesis for this new era is distilled into a powerful tagline: "Humans elevated, not tasks automated."
#ChatGPT,#AImemory,#PromptEngineering,#GreatRepurpose,#FutureofWork,#ValueBasedIdentity,#LLM,#CognitiveProsthetic
Chapters:
00:00:00 Opening and Full Chaos
00:03:52 Leveraging ChatGPT Memory
00:05:09 Strategy: ChatGPT Home Base
00:11:14 Introducing the AI Salon
00:17:00 Seeking App Use Case
00:25:50 Exploring Native Mobile Apps
00:28:59 Recapping Core Strategy
00:32:40 Requesting Grounded Analysis
00:38:28 The Psychological Crisis
00:44:08 Project: the Great Repurpose
00:54:14 Repurposing Versus Upskilling
00:57:17 Naming the Initiative
01:04:09 Sharper Thesis Statement
01:10:40 Business and Creative Briefs
01:14:52 Researching Perplexity and Manis
01:26:47 Social Media Campaign Brief
01:34:45 Prompting GenSpark Designer
01:41:36 Reviewing Research Findings
01:54:11 Validity of the Initiative
02:00:00 Humans Elevated Not Tasks
Chapters
0:00Opening and Full Chaos3:52Leveraging ChatGPT Memory5:09Strategy: ChatGPT Home Base11:14Introducing the AI Salon17:00Seeking App Use Case25:50Exploring Native Mobile Apps28:59Recapping Core Strategy32:40Requesting Grounded Analysis38:28The Psychological Crisis44:08Project: the Great Repurpose54:14Repurposing Versus Upskilling57:17Naming the Initiative1:04:09Sharper Thesis Statement1:10:40Business and Creative Briefs1:14:52Researching Perplexity and Manis1:26:47Social Media Campaign Brief1:34:45Prompting GenSpark Designer1:41:36Reviewing Research Findings1:54:11Validity of the Initiative2:00:00Humans Elevated Not Tasks
Transcript
0:00 Happy, you ready to sing? Are you ready? 0:06 Are you ready? [music] 0:22 [music] 0:35 them came up with that night 0:41 just like a jet plane in and [singing] 0:44 out of sight. 0:46 I was hauling ass at a million miles 0:48 [singing] and I [music] was wondering 0:51 how hard I'd hit [clears throat] 0:54 [music] 0:56 when they came into [singing] 0:58 the station. 1:00 [music] 1:02 They said I was bad beyond repair. 1:07 All right. Uh what's happening good 1:09 people? How you doing? I got I got the 1:12 singing dog over here. Uh, I decided to 1:14 go full chaos on the hair tonight. Uh, 1:17 there's there's there is no order in the 1:20 world and so my hair is not going to be 1:22 any different. We're going full chaos. 1:25 Um, 1:26 what else is going on? That thing is 1:28 right in my eyes. Hang on. I got to 1:30 adjust my my natural looking sunset. 1:35 [laughter] 1:37 It was in my eyes, people. We can't have 1:40 that. 1:42 Um, [music] 1:49 [music] I see Vickiy's here. 1:55 [music] 2:03 [music] 2:09 >> [music] 2:16 [music] 2:21 [music] 2:28 >> Is it back to romper room? It's close. 2:30 We're going to do something really cool 2:31 tonight. 2:32 >> Um, 2:35 so something struck me. I was thinking 2:37 about the last two nights where I 2:39 essentially whed for two hours each 2:42 night. Well, it felt like two hours. It 2:44 was more like an hour and a half, but I 2:46 just whed or or philosophized for like 2:49 90 minutes. I didn't really do anything 2:52 actually. It It felt like three. Thank 2:55 you, producer Brandon. Brandon Brandon 2:57 with the with just because he's in in 2:59 Cleveland right now and they've got the 3:00 the real cold index. What it really 3:03 feels like, right? You know, it's 3:05 actually 12 degrees, but it feels like 3:06 minus 20. He's trying to do that with 3:08 the entertainment value of this show. 3:11 Not going to work. It's not going to put 3:12 me down. I'm not living in shame. I'm 3:15 I'm living in bountiful abundance. 3:18 Anyway, um, let me switch these things. 3:21 Look. God, my hair is shocking. It's 3:25 shockingly bad, but we're going with it. 3:28 We're going full chaos. 3:30 We're going full positivity tonight. And 3:32 and here's what we're going to do. 3:34 [clears throat] Something hit me. 3:37 [laughter] 3:38 It obviously wasn't hair product. 3:44 [laughter] 3:45 Something hit me. Here's what hit me. 3:52 One of the things that OpenAI has 3:54 successfully done 3:57 for me anyway 3:59 is because I've used it so much. It's 4:02 the only LLM that really has my history 4:05 of the past three years. 4:08 And I know I could probably technically 4:10 export it like export my data and import 4:13 that in other things and migrate my 4:15 memory, 4:16 but you know that's like saying you 4:18 could change your defaults in Gmail. I 4:22 don't, but I could, right? No one 4:25 changes their defaults. Well, people 4:27 with prefrontal cortexes that function 4:29 change their defaults anyway. That's 4:32 neither here nor there. Um, 4:35 so I've got ChatGpt knows everything 4:38 about me. It knows about my projects. It 4:40 knows about my writing style. It knows 4:41 that I'm a smartass. It knows that I 4:44 have conversations and I call it Quinn. 4:46 It's got all that stuff, right? Well, 4:48 what it also has is the ability to go do 4:50 research. 4:52 And then what I also realized is all of 4:54 these tools are now so complicated that 4:57 you that you can't it's like you have to 5:00 get a [ __ ] master's degree in every 5:02 single AI tool except you don't. And so 5:05 that's what we're going to play with 5:06 tonight. So here's the basic idea. 5:10 I pulled up a bunch of things like Gen 5:12 Spark and Manis and what else did I pull 5:15 up? midjourney, 5:18 lovable. 5:20 Uh, and we can probably do others. So, 5:22 we can, it doesn't matter. We'll do a 5:24 bunch of them. 5:26 Nano Banana if we want to. 5:29 Runway. Well, it doesn't matter. All of 5:33 them, 5:34 even tools within within chat GPT. And 5:37 so what we're going to do is we're going 5:39 to go come up with some idea, some 5:41 something that where it knows about me 5:44 and then we'll come up with a project. 5:47 And what I'm going to do is I'm going to 5:48 have chat GPT go research what are the 5:51 best practices for how to prompt tool X. 5:54 It doesn't matter what the tool is. And 5:56 and Chat GPT will go find out best 5:58 practices. And then and then it'll come 6:00 back and I'll say, "Okay, based on this 6:03 project and this goal and your best 6:05 practices for that tool, write me a 6:08 killer prompt for lovable. Write me a 6:10 killer prompt for GenSpark designer for 6:12 whatever it is." Let chat GPT do that 6:14 work. 6:16 To keep it semi-entertaining, I won't 6:18 read it. We'll just copy and paste [ __ ] 6:20 You know, in the real world, you'd go do 6:22 that. But anyway, I'm pretty excited 6:23 about that. So So [music] 6:24 tonight's going to be about leveraging 6:26 your memory. 6:30 >> [music] 6:37 [music] 6:40 >> That's a fabulous piece of advice. I do 6:42 that all the time. Yeah. I like what 6:44 what hit me. I was thinking about what I 6:46 could do tonight because the last two 6:47 nights have been shitty. Well, they 6:48 haven't been shitty. They've just been 6:49 talky. Um and I wanted to do something 6:52 demoy because I think producer Brandon 6:54 was about ready to jump. He was about 6:55 ready to fly from Cleveland, but he 6:57 couldn't get out cuz all the planes are 6:59 iced up. They can't he he's basically 7:01 landbound and uh landbound with his 7:05 kids. So, you know, and dogs and cats 7:07 and I don't they probably have a turtle 7:11 knowing knowing Cleveland and Brandon. 7:14 Amtrak still goes, "Yeah, [laughter] 7:17 I'll get on the next train to Denver. I 7:20 like turtles. [laughter] 7:25 >> [gasps] 7:26 >> Oh man. [music] But I was thinking about 7:29 that and I thought, "Oh, that's actually 7:30 a thing I do that I kind of have done 7:33 instinctively." 7:35 And I thought it would be good to do it 7:36 tonight and kind of discover for myself 7:39 what the technique is. Um, and I think 7:42 it'll be good. I think it'll be fun. 7:44 [music] 7:50 [music] 7:51 Epic hair day. Oh no, the hair's a 7:54 full-on disaster. Hairy scary. Yeah, dog 7:57 abundance. Harry Scary. Listen. Uh, 8:01 I'm going full chaos. Full chaos tonight 8:04 on the hair. 8:09 So, today I talked to to Andy and she 8:12 said she caught the beginning of the 8:13 show last night. She's like, "You wet 8:14 your hair. That was weird." And so, I'm 8:16 like, "All right, you want to see what 8:18 happens when I don't wet my hair? 8:21 >> [laughter] 8:32 [music] 8:38 [music] 8:44 >> What's happening, Danielle? What's 8:46 shaking? 8:49 Anybody wants to uh anybody wants to 8:51 pick up hair product for the for 8:53 [laughter] the hair and makeup 8:54 department, you feel free. Ship me ship 8:57 me whatever you think will work. 9:00 [laughter] 9:02 This is my contention is this is the 9:04 worst haircut I've ever had. I have 9:06 never had my hair just go in seven 9:09 different direct. Well, no, I have, but 9:13 I've never had a haircut that [laughter] 9:15 that begs it my hair to go in so many 9:17 different directions at the same time. 9:20 Good thing you don't have a pink bow. I 9:22 have a pink bow. I'll put a I'll put the 9:23 pink bow on. I'll do it. 9:28 I think I'll do it for the new people 9:29 because with zero context, the pink bow 9:32 has got to be disturbing. 9:35 >> [clears throat and cough] 9:37 [snorts] 9:38 >> Oh, yeah. Fantastic. And I know I'm 9:41 wearing it wrong, but we don't care. 9:44 All right. Wait, is that a bug in my 9:46 head? I don't think so. I don't think 9:49 it's a bug. I don't think I've got bugs. 9:51 I don't think I've got bugs. 9:54 [clears throat] 9:55 [laughter] 9:57 [music] 10:03 [music] 10:08 Well, 10:11 you done [music] me in bed. I felt it. 10:14 Tried [singing] to be chill, but just 10:16 the hype that I melted. I fell right 10:18 through the cracks. [clears throat] 10:21 Now I'm trying to [singing and music] 10:22 get back 10:25 before the cool down run out. 10:27 [singing and music] I'll be giving it my 10:28 bestest. Nothing going to stop me but 10:31 divine intervention. [singing] 10:32 Reckoning it's again my turn 10:35 to [music] win some more 10:38 but I won't [singing] hesitate. 10:42 No, my voice is not good tonight. I am 10:45 not there. I ain't there. I didn't warm 10:47 up. 10:50 That was bad. I won't put you through 10:52 that anymore. Champy's just Champy's not 10:54 even looking up. He's like, "That's not 10:56 even worth howling to." 11:01 What you got on screen there, Professor 11:02 Brandon? 11:06 [music] 11:09 AI Salon. 11:11 [music] 11:11 Yeah, that's good. I like it. 11:14 Take a look at what's on screen there. 11:17 Go to community.thesalon.ai. 11:22 If you've not been to the salon.ai, guy. 11:24 You should go. 11:26 [music] 11:28 You're like, "What's that, Kyle?" Well, 11:30 it's a community of like-minded people. 11:32 Do they all wear pink bows? 11:35 What's your weirdness, pink bow man? 11:38 [music] 11:45 [music] 11:50 [music] 11:55 >> [music] 11:56 >> Hey, you know what's really nice? 12:02 You know what I had stuck in my head the 12:03 other day? An Murray. Good lord. An 12:05 Murray. I haven't heard an Murray song 12:07 in forever. Look at that hair. That is 12:09 fantastic. Um, what is going on with Tik 12:12 Tok? We've got nine people here. The new 12:15 Tik Tok sucks, by the way. [laughter] 12:19 I think Silverf Fox was was smart to 12:21 delete it. 12:26 [music] 12:27 America, we're number one. Unless you 12:30 got a successful software platform, then 12:32 we'll [ __ ] it up. 12:34 [laughter] 12:36 [music] 12:38 We're number one. Unless you're talking 12:40 about education. They were number 17. 12:42 [singing] 12:46 [music] 12:56 [music] 12:59 So, does anybody have anything [music] 13:01 that uh -2° 13:05 the bow works? 13:08 Does anybody have anything they want to 13:10 um 13:13 like do in AI? Like maybe I'll do if you 13:17 guys come up with an idea of something 13:19 you want built or experimented with in 13:22 AI, I'll do I'll do my my high memory 13:28 prompting trick tonight on your project. 13:31 So [music] think of something. Chef 13:34 Kelly's here here. Maybe she needs to 13:37 come up with something for She's already 13:39 done like the food dye thing. [music] 13:43 I could do a Skittles sourcing app. 13:53 [music] 13:54 We get the orange Skittles from South 13:56 Africa. 13:58 Green Skittles are from Ireland. 14:04 [music] 14:08 Have I played with Claudebot yet? I 14:10 haven't. Oh, and by the way, that didn't 14:12 take long. They already got cease and 14:14 desisted by Anthropic, so they changed 14:16 their name to like Moette or what's I 14:19 don't know. It's It begins with an M. 14:20 Moat or something like that. [music] 14:26 Oh, we could do the next pet thing. 14:28 That's not actually a bad idea, Brandon. 14:32 >> [music] 14:40 >> Multi. [snorts] 14:43 Claudebot is now multi. [music] Because 14:45 what what's fun is when you're just a 14:48 pile of geeks, you're like, "Hey, I 14:50 know. We'll call this thing Claudebot, 14:53 but we'll spell it with a W instead of a 14:55 U. That's [clears throat] clever." And 14:58 then you launch it to the world. that if 14:59 you're lucky, everyone in the world uses 15:02 it and talks about it and then you get a 15:06 letter from a lawyer that says, "Don't 15:09 do that, asshole." [laughter] 15:12 Like Grock versus Grock. Exactly. 15:17 [music] 15:18 Although that Vicki is one where GRQ was 15:22 there first and then Elon Musk just 15:24 said, "Fuck it. I'm Elon Musk. You can 15:26 come after me if you want. [music] 15:30 I had that experience with StoryVine 15:33 with uh with Twitter where um 15:38 they cease and desisted us. 15:42 Twitter Twitter cease and desisted Story 15:44 Vine because they're like, "We've got 15:45 Vine and you've got Story Vine and you 15:48 should take that down." And we're like, 15:50 "Uh, pretty sure we were first here." 15:52 And they're like, "No, you weren't. 15:54 Here's the evidence." And we're like, 15:55 "No, we were. Here's our evidence." So 15:57 then they were like, "Oh yeah, you were 16:00 there first, but we're Twitter." 16:03 [laughter] 16:04 So So we're going to keep using it. You 16:06 can go [ __ ] yourself. So So that was 16:09 nice. That was That was nice. 16:14 >> [music] 16:16 >> Story Vine did indeed outlast Vine. 16:23 [music] 16:27 Yeah. Like Burger King is Hungry Jacks 16:29 in Australia cuz a little bitty burger 16:32 shop called Burger King was first. Yeah. 16:33 There you go. 16:36 Well, we're doing we're in the middle of 16:37 this right now at the AI Salon. I'm 16:38 actually meeting with a trademark lawyer 16:40 tomorrow. I think I have an idea for for 16:42 us to figure out a way to separate from 16:44 the other AI salon 16:48 [music] 16:53 [music] 16:59 [music] 17:01 cla code skills coworker as something to 17:03 do tonight. No, I'm thinking like more 17:04 like what's a use case? Like what's 17:06 something that you actually want to 17:07 accomplish in the world? 17:11 You want to build something. You want to 17:13 do an ad campaign. I think maybe it 17:15 maybe the idea is to come up with an app 17:17 idea 17:19 and then do research in one app, 17:24 do branding in another app. 17:29 Uh I don't know. 17:33 I'm thinking I'm thinking I don't really 17:36 have the idea yet. 17:38 >> [music] 17:45 [music] 17:52 [music] 17:56 >> Blue. 17:59 [music] 18:04 [music] 18:11 >> [music] 18:23 >> There's been something, baby, I've been 18:26 trying to say 18:29 for an age, and it seems I don't know 18:32 how. 18:35 With a past and a future now surrounding 18:38 me. [music] 18:42 Surrender to whatever treat there can be 18:44 found. [music] 18:48 There's been a little trouble 18:51 since [music] you came to my rescue. 18:58 And if you like all of the rest, I would 19:01 have quit you long ago. But I couldn't 19:04 do that. 19:09 [music] 19:10 Oh, tell me [singing] now. Women and 19:12 wine never went too well. 19:17 Make a man crazy, make him cold as hell. 19:22 [music] 19:23 And a woman that you wish me well. 19:28 But in spite of your shrine, 19:29 [music and singing] 19:30 still gonna have to find my own way 19:34 through. 19:39 [music] 19:40 Like the Mr. Morning, my dream remains. 19:49 All right, [clears throat] 19:51 let's get this party started. You know 19:55 where we're going to start? We're going 19:57 to start with AI. 20:03 The salon.ai. 20:07 That is where we're going to start. 20:10 [clears throat] 20:17 [clears throat] 20:20 Okay. So, if you take yourself to 20:24 community.thesalon.a 20:26 AI, that little banner in the bottom 20:28 right hand corner. 20:30 [clears throat] 20:33 It's going to take you, it's going to 20:34 drop you right onto this page right 20:36 here. Welcome to the AI salon. There's a 20:39 little welcome video. 20:41 And there's the cycle of AI readiness, 20:44 which is play first, create excellence, 20:47 generously lead, and repeat that. And if 20:50 anyone wants me to go over what those 20:52 actually mean, I'm happy to do that. A 20:55 little Zeppelinesque. Oh, that last one. 20:57 Actually, it is a little Zeppelin, isn't 20:59 it? That's Women and Wine by Martin 21:01 Ston. 21:03 Um, 21:06 Kyle is not real. Is this the AI part? 21:09 [laughter] 21:13 Um, okay. So, when you come to the AI 21:17 salon, there's sort of start your 21:18 adventure, there's like four little 21:19 things to do. One is just sort of check 21:21 out, you know, the the sort of welcome 21:23 page. um five stages of AI adoption, 21:26 dismissal, awe, the Kevin Mallister 21:29 moment, wonder and fear, augmentation, 21:32 and then cognitive hyperabundance. So, 21:34 there's just some fun things to look at 21:35 there. Then the next step is introduce 21:38 yourself. If you have joined the AI 21:39 salon, but you haven't introduced 21:41 yourself, go do it right now. One of our 21:44 values is is generosity, and introducing 21:49 yourself is a generous act. And you're 21:50 like, but that's terrifying. What if 21:53 people judge me? What if I get 21:55 cyberbullied? You won't. This community 21:58 doesn't do that. We're not full of 22:00 douchebags. 22:01 Um, it's it's really powerful to 22:04 introduce yourself and become part of 22:06 this community. So, if you haven't done 22:07 that, go do that. Then you can learn our 22:09 values, curiosity, playfulness, empathy, 22:14 generosity, and creating excellence. Um, 22:18 so go do that. Go look at those. Read 22:20 about those. Then you've got a little 22:23 community area. So there's AI salon 22:25 events, there's the community feed, 22:27 community chat, so you can get in there 22:28 and chat with people right off the bat. 22:30 There's salon announcements. And then 22:33 there's three cool cool areas. There's 22:35 the play and create area where we have 22:37 this channel has its own AI learning lab 22:40 area where the irregulars can get 22:42 together and hang out. Follow the dog 22:45 from Lord Digital Gods. That's nice. I 22:47 like that. I like that cover. Very nice. 22:50 Very very nice. 22:53 So [clears throat] if you haven't posted 22:55 in the irregulars for a while, go post. 22:57 Then there's learn and grow and there's 22:59 things like the AI salon mastermind 23:01 practice lab which is tomorrow at uh 23:05 10:00 a.m. Mountain time, noon Eastern, 23:08 uh where we're finishing up our first 23:10 13week cycle of the mastermind practice 23:13 lab. So that's going to be a good one. 23:15 So come to that. 23:17 And then we've got advocacy and policy 23:19 area, partnerships and self-promotion. 23:22 All right. So, there's all sorts of 23:24 things to do at the uh the AI salon 23:26 community. And I think if you haven't 23:29 been there in a while, now might be a 23:30 good time. Drop into come to the salon 23:33 and then drop into the AI learning lab 23:37 space and you can chat with others that 23:39 are here 23:41 and you can also post cool [ __ ] that 23:43 you've created. 23:45 All right. Nice 23:49 Valentine's Crazy Cards. That's not a 23:52 bad idea. 23:55 We should do an app that explores a 23:57 person's name, the history, famous 23:59 people who share it, etc. That's kind of 24:02 cool. 24:05 I like that. 24:10 Is it just a first name or first name 24:12 last name? 24:14 H fascinating. 24:21 I like it. 24:31 Okay, 24:41 this is good. This is good. This is 24:43 good. 24:46 Keep give me a couple of give me a 24:48 couple of uh 24:51 do we want to do app ideas? App or 24:53 business ideas. Just drop either in Tik 24:56 Tok comments or in YouTube comments or 24:58 whatever LinkedIn and Twitter. I can see 25:00 I can see anywhere you post. 25:02 Wherever you are, drop ideas about a 25:06 business idea or an app idea. 25:10 Gemini 3 just got a gentic vision. I saw 25:13 that. That was like two days ago, 25:15 Brandon. But I don't know what it is, 25:18 though. I didn't pay attention to it. 25:20 [laughter] 25:21 I've been a bad man. And my hair is in a 25:24 bad place. 25:27 For someone who doesn't give a [ __ ] 25:28 about things like hair and makeup and 25:31 costume, um, I talk an awful lot about 25:35 my hair because, well, you know what it 25:37 is? Sometimes I look over and see what I 25:39 look like and it terrifies me. 25:42 >> [laughter] 25:45 >> Okay. Seven degrees of Kevin Bacon. 25:48 That's been done, though. Let's come up 25:50 with something something original. Push 25:52 an app all the way to the App Store. 25:57 So, I'd actually have to find one. I 26:00 haven't done one. What? Anybody know an 26:04 app that pushes to that that does uh 26:07 native iOS apps? Which are the vibe 26:10 coding tools? cuz I've only been playing 26:11 Unlovable and they just do web apps. 26:14 Steo, I'm not allowed to post anymore 26:18 after the buck crack image. [laughter] 26:22 I assume you're joking about not being 26:24 allowed to post. If you actually can't 26:26 post, something's broken. We didn't we 26:29 didn't um restrict your access to 26:31 posting. I thought the butt crack image 26:33 was hilarious. Um Emergent does mobile 26:36 apps. Okay, Emergent AI. All right, let 26:39 me go grab that. 26:42 [gasps and snorts] 26:43 Emergent 26:45 AI sh. Let's see. 26:51 app.emer.sh. 26:55 Oh, and I got to pay for it. 26:59 95% off for the first month. 27:03 Announcing our series B. Get the 27:05 discount code. Copy code. 27:13 Buy credits. 27:17 I've got five credits. Upgrade $1 a 27:20 month. Upgrade to standard. 27:26 Setting up your emergent standard plan. 27:34 Subtotal dollar. All right. We're going 27:37 to spend a dollar. [laughter] 27:40 We're spending a dollar on a 27:41 subscription tonight that I can live 27:43 with. The problem is unless I have Vicki 27:46 remind me, I won't cancel this 27:49 subscription and then it's going to 27:50 renew for 20 bucks. Standard tier 27:52 activated. Awesome. Keep vibing. 27:57 Welcome to the standard plan. Okay. 28:01 Organize your introducing projects. 28:04 Create your first project. 28:07 Claude 4.5 sonnet. 28:11 I guess that's probably cheaper 28:15 1 million context two 28:20 GPT 5.2 beta. I think Cloud Sonnet's the 28:24 way to go. All right, we'll come back to 28:26 that. Weren't you going to start in chat 28:28 GPT? I haven't started yet. I'm just 28:30 getting I'm just getting it set up. I'm 28:33 just getting it set up. Good. Good call. 28:36 Good eye. But 28:38 all right. I I still haven't decided 28:40 what I want to do. Someone here did one. 28:42 Someone here did what? 28:46 Oh, yeah. Mimi Side Hustle Mimi pushed 28:48 something to the app store. No, Emmy, 28:49 are you here? What What app did you use 28:52 to to make your app? Hey, everyone. What 28:56 are you working on? Okay, Source Camp, 28:57 you're gonna like this. So, and you 28:59 probably already do this. 29:02 This is kind of an instinctive thing 29:04 that hit me today that I should probably 29:06 actually talk about, which is I've 29:09 realized that because I've got all my 29:12 memory in chat GPT, it knows all my 29:15 [ __ ] All the other tools I use, I use 29:17 in this scattershot kind of way. 29:21 But all the other tools have all gotten 29:23 so complicated that like if you want to 29:25 use them like it's it's a pain in the 29:27 ass to like even understand how to 29:29 prompt them and what to do and what 29:30 what's possible. 29:32 So what hit me was 29:35 you can start in chat GPT come up with 29:37 an idea and because it knows your whole 29:40 history and it knows your writing style 29:42 and it knows your just all your [ __ ] 29:45 You can have chat GPT go research the 29:49 best practices, the latest best 29:51 practices on how to prompt lovable or 29:54 emergent AI or midjourney or whatever. 29:57 It doesn't matter. Claude perplexity 30:01 and then have chat GPT write write a 30:03 good structured sophisticated prompt 30:06 based on who you are, what you know, and 30:08 what you're trying to accomplish for all 30:09 these different tools. 30:12 So basically use chat GPT as home base. 30:15 So I thought that was kind of cool. 30:18 So that's what we're going to do 30:19 tonight. All right. 30:24 I still don't have an idea. 30:28 Oh, 30:30 I have an idea. [laughter] 30:34 My idea is let's have Chat GPT give us 30:37 an idea. Okay. 30:40 So, I'm gonna say um 30:45 tell me what you know about 30:49 me and my 30:54 strategic 30:56 business ideas. 30:59 So, I'm just going to kind of prime chat 31:01 GPT to to start talking about me. 31:05 [sighs and gasps] The through line your 31:06 AI your your career isn't about AI 31:08 storytelling community or the platforms 31:10 individually. It's about agency. Over 31:12 and over you build systems technical 31:15 cultural narrative that give people 31:16 their agency back at moments of 31:18 technology. This is kind of a new thing 31:21 that I I've been talking about agency 31:23 for the past three weeks or so or four 31:25 weeks probably since festivists 31:27 and 31:30 but that's not that's not what my career 31:32 throughine is. That's That's weird that 31:34 it did that. You don't sell tools, you 31:37 sell orientation. 31:44 I'm going to go. Um, it sounds like 31:48 you're 31:53 making [ __ ] up and just trying to blow 31:58 sunshine 31:59 up my ass. 32:01 >> [laughter] 32:02 >> Stop it. Um, look at our history 32:08 and give me something more grounded. 32:14 [clears throat and cough] 32:15 If you don't yell at your chat GPT, if 32:18 you don't take a stand for what you 32:21 think is [ __ ] it will keep giving 32:22 you [ __ ] 32:25 Big spender, big hair. 32:28 Put it in your notion reminders. I I 32:31 decided that notion's not for me. I 32:34 can't I can't spend the next two months 32:37 building a framework to then not use. 32:40 [laughter] 32:41 I can do that with so many other tools. 32:44 Um, okay. What I know about you, you 32:48 repeatedly build explanatory frameworks 32:50 for new tech. That's true. This isn't a 32:52 compliment. Five stages of AI adoption. 32:55 Okay, fine. traditional versus 32:56 generative. 32:58 Combining Mazlavs and icky guy for a new 33:00 diagnostic model. Oh, that's kind of a 33:03 fun thing. 33:09 We could do an app on someone 33:11 discovering their their their passion in 33:14 life. 33:16 Huh. 33:18 Huh. That's fantastic. That's something. 33:21 But that's esoteric. 33:23 Like this app that I saw the other day 33:25 that that 33:28 pissed me off and made me jealous at the 33:30 same time was 33:33 it's such a dumb [ __ ] idea 33:36 that I was like I should have [ __ ] 33:39 done that cuz I cuz I had the idea to do 33:41 something very similar to it and I 33:42 didn't do it. 33:44 And it was uh you upload a picture of 33:47 your pet and it makes a classical like a 33:49 Renaissance painting of your pet and 33:52 then they actually print them out and 33:54 send you a framed thing of your dog and 33:56 they're making like 100 100,000 ARR or 34:00 MR something like that. 34:03 Um okay, this is true. You must yell at 34:06 your AI when it's playing mind games 34:08 with you. You're correct. I oversimplify 34:11 things. You're suspicious of efficiency 34:12 first thinking. I agree with that. You 34:16 treat AI as a cognitive prosthetic, not 34:18 a product. I agree with that. Storyvine 34:20 is a strategic asset, not just a 34:23 business to you. Eh, you're correct. 34:27 Positioning aggressively. We're not 34:29 vertical first. 34:35 You're actively trying to avoid becoming 34:37 a thought leader cliche. 34:40 You reject peppy tone. 34:42 You you reject generic inspiration. You 34:45 call [ __ ] fast. You explicitly ask 34:48 me to stop making things sound like 34:51 marketing. You prefer analog gritty 34:53 imperfect imperfect aesthetics. You 34:56 coined embrace the jank and actually 34:58 mean it. You want substance over polish, 35:01 insight over optimism, sharp edges over 35:04 comfort. Those are actually all true. 35:07 This is why the previous answer annoyed 35:09 you. It sounded like positioning, not 35:10 analysis. your strategic business 35:13 pattern. No poetry. Here it is plainly. 35:16 You enter early chaotic phases of new 35:19 technology. True. You observe where 35:22 people get confused, scared, or seduced. 35:25 True. You build language and structure 35:28 to help them orient themselves. You 35:30 package that orientation as a platform, 35:33 a practice, a playbook, an event. 35:37 You monetize around the clarity, not the 35:39 tech itself. This is a grand mission. 35:42 This is a repeatable operating system. 35:44 Huh? The tension you're actually 35:46 wrestling with. You're stuck between two 35:48 real pulls. You hate [ __ ] and your 35:52 work requires abstraction. 35:56 So, you hate [ __ ] and you love to 35:58 [ __ ] is what it just said. Tik Tok 36:01 pin. Steo, build an ADHD friendly 36:04 version of Notion. That's possible 36:07 except I don't understand notion well 36:09 enough to know what it is. But 36:15 yeah, [snorts] I don't know. I don't 36:16 know yet, but chat GPT does. Yeah, 36:19 that's true. 36:21 Read emails, captured conversations, 36:23 wrote customized letters, put it all in 36:25 my Okay, you guys are talking to each 36:27 other, which is cool. 36:30 All right, this is a hard mute. You want 36:33 things to be conceptually deep, 36:35 practically useful, emotionally honest, 36:38 non-cliche, non-salesy. I, which is 36:41 true. I It is It is my contention that 36:44 you can have things that are all those 36:45 things and still sell things, but I'm 36:47 not very good at it because I'm not good 36:49 at the salesy part. That's something I 36:51 got to work on. Something to work on. 36:54 Okay. This is a hard needle to thread 36:55 and you get impatient when it isn't 36:57 threaded cleanly. Yes. One hard truth. 37:00 No sunshine. You are not trying to build 37:02 one company. You're trying to establish 37:04 a credible point of view. True. Without 37:07 becoming a guru. True. While still 37:10 paying the bills. True. In a moment 37:12 where hype is rewarded more than rigor. 37:14 True. 37:17 This tension shows up in almost every 37:19 request you make. That's fascinating. 37:23 If you want next we can do one of these 37:26 things concretely. Strip your entire 37:28 portfolio down to one core strategic 37:31 claim. That's interesting. 37:34 Identify where you're overexlaining and 37:36 under asserting. Map where ideas are 37:38 signal and which ones are just cognitive 37:40 exhaust 37:42 or do a brutally honest tearown of how 37:44 an outsider would actually interpret 37:46 your work. 37:47 Um, 37:52 go for 37:55 one 37:57 core strategic 38:00 claim. Let me see what it comes up with. 38:05 [gasps] Your core strategic claim. Most 38:07 people in organizations are using 38:09 generative AI backward. The real 38:12 advantage doesn't come from automating 38:13 work faster. It comes from clarifying 38:16 human intent first, then using AI to 38:19 multiply judgment, creativity, and 38:21 confidence. That's it. No metaphors, no 38:24 vibe. It's not bad. Tik Tok pin. 38:28 This sounds way too much like therapy. 38:31 Well, you know what's funny? Rock, 38:32 paper, scissors. Um, 38:35 this channel for the past month or so 38:38 has essentially been therapy. It's it's 38:40 not really therapy, but it's it's been 38:42 me exploring 38:45 um 38:47 who I am, what I value, 38:52 what are the things that are important 38:54 to me, 38:56 so that as I use AI, 39:00 all of the work is anchored in that core 39:04 understanding of who I am. Here's why I 39:06 actually think it's important. 39:11 I feel like we're about to enter a 39:14 massive psychological crisis, like a a 39:18 global psychological crisis 39:22 that kind of looks like this. 39:25 [clears throat] 39:26 Since the indust industrial revolution, 39:28 we have been trained like in school and 39:32 in our jobs and in society 39:35 that time equals money and what we do is 39:39 our value, right? What we do, the tasks 39:43 we do are our value. There are some 39:47 exceptions to it and there's some you 39:49 know some stuff in in more centered kind 39:51 of work that's not that but our core 39:55 and and I would say this is decently 39:57 global c certainly for for western you 40:00 know western countries 40:05 that our personal self-worth is tied to 40:08 the work we do 40:12 and the work we do is about to be 40:14 commoditized and the value of of the 40:16 tasks 40:18 is about to drop to zero for all tasks, 40:22 right? It's it's on [laughter] a it's 40:25 it's been slowly eroding and it's about 40:27 to fall off a cliff. I think 2026 is the 40:30 first year we start to get AI good 40:33 enough that it's it it becomes clear 40:35 that 40:37 it's going to go. And so over the next 40:39 two, three years, 40:42 millions of people 40:46 are going to have their 40:49 purpose 40:52 removed. 40:54 If their purpose is tied to the tasks 40:57 they do 40:59 and that gets stripped away, 41:02 what's left is a bunch of human beings 41:04 without purpose. 41:08 And and like I 41:13 it's probably the single most dangerous 41:16 thing about about what's to happen is 41:19 not that people lose their jobs. People 41:21 will find other ways to work. They'll 41:22 find other ways to make money. The 41:24 biggest crisis I think is people losing 41:27 their purpose. 41:29 And so what I've been looking at what 41:30 the daily practice within the AI salon 41:33 is 41:36 is about working on a daily purpose to 41:38 under or working on a daily practice to 41:41 understand who you are and what you 41:43 value so that you can then choose some 41:47 purpose. So, it does feel like a therapy 41:52 session because that's kind of where 41:54 I've been. I like like 41:57 we're about to enter a [ __ ] storm 41:59 psychologically, globally. 42:02 [sighs] 42:03 Post labor economics meaningf finder. 42:07 Do 42:08 what do you do if you don't have a job? 42:11 That's not a bad idea. 42:14 Finding a post labor meaning of life. It 42:17 It could almost be both. Couldn't it, 42:19 Rick? Like, it it could be like, here's 42:21 here's what I've trained on in my life. 42:23 Here's the [ __ ] that I care about in my 42:25 life. 42:27 Here's [ __ ] I'm good at. Here's [ __ ] I 42:29 love. Here's [ __ ] I'm not good at. 42:31 Here's [ __ ] I hate. 42:36 And this thing could 42:44 could say, here's the kinds of things 42:46 you could be doing. Here's 42:51 with your skills, with your passions, 42:54 assuming that the tasks are going to be 42:56 handled by the machines. 42:59 Here's the kinds of businesses or 43:01 projects you could start. That's not a 43:02 bad idea. Rick McCauley. 43:05 I don't know. Rick McCauley coming in 43:07 hot. He's got a couple of ideas on the 43:08 uh on the rack tonight. I think that one 43:10 might be good. 43:12 I think that one might be good. Remember 43:17 the party talk? Yeah. What do you do for 43:19 a living? What do you do for a living? 43:22 Not who are you? 43:24 Not what do you stand for? Not what do 43:26 you value. What do you do? What do you 43:28 do? 43:31 Because what you do is where your value 43:33 is in today's society. Have it create a 43:36 questionnaire to help with this. Yeah, 43:37 that's that's what I'm thinking is this 43:40 is some sort of 43:43 interviewy kind of app. 43:46 All right. This is not bad. It's not 43:48 bad. Okay. Okay. 43:51 I I'm I'm starting to get something 43:52 here. Okay. 43:55 All right. Uh let me 44:01 uh microphone is in use. Can you hear 44:03 this? Yes, you can hear this. Okay, 44:05 great. I 44:09 have an idea that I want to take this 44:12 core um strategic framework that you've 44:16 come up with 44:18 and 44:21 I want to create a business or an app 44:24 around the idea that 44:29 as the tasks of modern work get 44:31 automated by AI I 44:36 the people that have their personal 44:38 self-worth and value 44:42 directly tied to the tasks they do are 44:45 going to struggle struggle mightily with 44:48 what their purpose is in life when those 44:51 tasks are automated away. When they lose 44:53 their job or when they lose, you know, 44:55 when their entire sector maybe gets 44:57 automated away. 45:01 And so 45:03 what I would like to come up with is a 45:07 framework and an approach and then maybe 45:09 an app 45:11 and maybe a training series 45:14 on how people can take 45:19 their experiences, their education, the 45:22 things they're good at, the things 45:24 they're bad at, the things they love to 45:26 do, the things they hate to do, the 45:29 things that other people tell them 45:31 they're good at and put all of those 45:34 things into this framework into this 45:37 blender. And what this blender will do 45:40 is 45:43 recommend for them, here's the kinds of 45:49 businesses you can create, um things you 45:52 can do in the world 45:55 where you add value that is not tied to 45:57 tasks. 45:59 So this framework is a system 46:03 that allows people who get obliterated 46:07 by AI 46:09 to as quickly as possible 46:12 reconnect to their own personal purpose. 46:16 I don't want it to feel like 46:19 self-help [ __ ] I don't want it to 46:21 feel like pop psychology. I want it to 46:24 be rooted in research and science. 46:32 I want it to be fun and playful 46:35 and joyful because people are going to 46:37 be in a shitty mood. 46:42 And I want it to be 46:44 deeply practical. 46:48 Tell me what you heard. 46:52 All right, let's see where we're going 46:53 here. 46:56 I wish I was anywhere close to the 46:58 person chat GPT thinks I am. That's 47:01 awesome. 47:03 [laughter] 47:07 Oh my god. We're going to need that 47:10 because people are going to be 47:11 searching. I Yeah, exactly. Exactly. 47:14 Rock, paper, scissors. The meaning maker 47:16 app or Well, it's it's icky guy. I think 47:20 it is icky guy, but this is th this is a 47:23 Rick. This is deeper than icky guy. Like 47:26 like ultimately where they get to is 47:28 icky guy if they do this thing right. 47:30 But but this is a bridge from 47:35 desolation 47:37 to 47:38 hope, 47:40 right? Like I feel like there's this 47:42 there's going to be this desolate 47:46 black hole that that people experience 47:49 that it's going to it's cuz it's like 47:51 think about it. If you've done what 47:53 you've done for 20 years 47:57 and all of a sudden they're like, "Oh 47:58 yeah, sorry. That whole thing that 48:02 you've spent your life on, yeah, we're 48:05 not going to do that anymore. Sorry 48:06 about that. Yeah, no, that's just the 48:10 bots are really good at it. So whatever 48:13 you did for that, we don't care anymore. 48:17 That's valueless to us." That's gonna 48:20 [ __ ] shatter people, right? 48:24 So, it's like, how how can you do 48:26 something that as quickly as possible 48:28 gets them out? Okay, here's what I 48:31 heard. Stripped of fluff without adding 48:32 anything new. The problem you're 48:34 targeting is AI automates tasks. A lot 48:36 of people are going to lose more than 48:37 income. They're going to lose their 48:39 self-worth, their identity, their 48:41 orientation in the world because modern 48:44 work trained them often unconsciously to 48:46 equate the tasks I perform equal my 48:50 value as a person. Right? That's there's 48:52 there's the darkness right there. 48:56 There's the darkness. 48:58 Right? The tasks I perform equal my 49:01 value as a person. Now, not everyone 49:03 feels that way, but a lot of people do. 49:06 And I think a lot of people feel this 49:07 way and probably don't even know it, 49:11 but when it's taken away, they'll 49:13 realize it. This is like when I left New 49:15 York City, I didn't realize how much 49:19 living in New York City fed me, 49:24 right? Even living near New York City, 49:27 like when I moved out of New York City 49:28 up to Westchester and Connecticut. Big 49:31 [ __ ] mistake, but whatever. 49:34 But like the difference between living 49:36 there and that energy and living in 49:38 Denver is like quantum. And I didn't 49:41 know that until I left it. And so I 49:42 think it's going to be like that. I 49:44 think there's a lot of people are not 49:46 thinking about what's my purpose in 49:47 life. They know their purpose in life. 49:49 Their purpose in life is show up, do 49:51 their job, get the money, feed their 49:53 family, repeat, right? Take the weekend 49:56 off, repeat. 49:59 And if that core thing is sit, it's 50:02 going to be ugly. Okay? When those tasks 50:05 disappear or are radically devalued, 50:07 people won't just be unemployed, they'll 50:09 be unmed. This isn't theoretical. You're 50:13 anticipating mass role erosion, sector 50:16 collapse, credential devaluation, people 50:19 who did everything right suddenly 50:22 feeling obsolete. This is a huge one. 50:24 Tik Tok question. What's the discussion? 50:26 So the discussion is 50:30 Well, where the where the discussion 50:31 started 50:33 was I want to use chat GPT which 50:36 understands who I am and my background 50:37 and my memory 50:40 to write prompts for other tools. But I 50:43 wanted to come up with some idea that we 50:45 could do that that 50:49 you know we could create an app or we 50:51 could do something and then we could 50:52 build a bunch of [ __ ] around it. But 50:54 where the conversation kind of went is, 50:57 you know, how are how are people gonna 51:01 survive the job shakeup that's coming, 51:04 right? Is it was something around that. 51:07 And when Chad GPT when I asked it to 51:09 give me my core insight and value, it 51:12 was about basic human human centricity 51:15 with AI used as an amplifier of each 51:18 person's agency, right? 51:21 And so, and so it's right now we're 51:24 we're in a we're we're in the 51:26 conversation before we start writing 51:30 prompts for other tools because we're 51:31 we're we're setting the foundation for 51:34 what might be a solution and then I'm 51:36 going to have it go do some research and 51:38 then come back with the research and 51:40 tell us what's going on. Anyway, okay. 51:43 The core insight you're building around 51:45 you want to help people shift from 51:47 taskbased identity to valuebased 51:49 identity. Not what do you do right 51:52 that's someone just said that here my 51:55 personal renaissance I think product 51:57 manager will be gone in five years 51:59 developer can ask an AI to act as a 52:02 product manager well I think that 52:05 product manager as project manager will 52:08 be gone I think product manager as the 52:12 holder of the fidelity of the idea for 52:14 the product will live 52:18 right I think idea people are going to 52:20 be valued. I think horizontal thinkers 52:23 are going to be valued and I think 52:24 people that can get [ __ ] done and 52:26 maintain the fidelity of the idea are 52:28 going to be valued. 52:32 Um, okay. So, your identity is not what 52:36 do you do, but how do you create value 52:38 in the world independent of any one 52:40 task? It's a little wordy, but it's not 52:43 bad. And crucially, the value should 52:45 survive automation. 52:47 It should be portable. It should be 52:49 grounded in human judgment, the system 52:51 you want to build, education. Okay, it's 52:53 this is missing something. Okay, hang 52:55 on. Um, 52:59 this is good, but you're missing a key 53:02 point is that I not only want someone to 53:06 be able to understand what their value 53:08 might be, but I want them to be able to 53:11 connect what their value might be to a 53:13 new purpose in life. if their purpose in 53:16 life historically was tied to their 53:19 tasks and you remove the tasks, you 53:22 remove their purpose. So part of it is 53:24 about rediscovering where your value 53:26 might be. But then the real bridge to 53:31 inspiring them to do the next thing is 53:34 to transform that awareness of potential 53:37 value into a purpose. So, let's make 53:39 sure that we don't miss that as a core 53:42 tenant of whatever it is we're trying to 53:46 solve right now. [laughter] 53:49 Oh, by the way, if you haven't just 53:52 vomited words into chat GPT, you should 53:55 do that more. 53:58 One of the things AI is [ __ ] 54:00 brilliant at is taking garbage that 54:03 comes out of your mouth and going, "Oh, 54:05 let me organize that for you and show 54:07 you what you just said." It's really 54:09 good at that. 54:11 [clears throat] 54:12 Just telling it to generate [ __ ] out of 54:14 nothing just very often is frustrating. 54:17 Yep. The missing bridge is the purpose 54:19 bridge. What you're building isn't just 54:20 value discovery system. It's a 54:23 repurposing system. Oh, repurposing is 54:26 actually really an interesting word 54:29 because if you think about repurch 54:31 repurposing, 54:33 you think like upycling 54:38 Oh wow. [clears throat] Wait. Oh, hang 54:40 on. 54:42 Okay. Repurposing is a really 54:44 interesting idea. 54:47 What popped into my head is the word up 54:51 u upycling. 54:53 Um so and and there's there's the phrase 54:57 upskilling, right? Upskilling people's, 54:59 you know, skills so they can do work in 55:02 the new economy. 55:04 But I think there's I think there's 55:06 something here. Maybe 55:08 maybe [clears throat] the the project is 55:10 something about human upcycling or human 55:13 repurposing. Repurposing is really 55:15 powerful. Um let's play around with 55:18 different ways to think about that and 55:20 articulate that. 55:23 Okay. 55:30 So basically what I'm doing right now is 55:32 I'm just trying to get my head around an 55:34 idea. The great repurpose. That's not 55:36 bad. 55:37 Okay. Clarify the conceptual move. 55:39 Upskilling assumes the person is fine, 55:42 but their skills are obsolete. It's task 55:44 ccentric. It's reactive. It's fragile. 55:46 Repurposing. Upcycling assumes the 55:48 person has enduring value. Focuses on 55:51 recomposition, not replacement. Identity 55:54 level, not task level. This is [ __ ] 55:56 psychology. Whoever said before, "This 55:58 feels like a therapy session." We're 56:00 about to enter a global [ __ ] therapy 56:05 session. 56:07 AI is not about job replacement. 56:11 It's not. 56:14 It's about fundamentally redefining 56:17 how humans deliver value to one another. 56:21 It's wild. 56:23 It's wild. It's [ __ ] wild. People 56:26 look at my hair. My hair is perfect for 56:28 this. Total [ __ ] chaos. 56:31 So, the real move you're making is from 56:34 what should I learn next to how do I 56:37 reim what I already am? 56:44 H 56:47 there's something strong about how do I 56:49 reim what I already am? But what you're 56:53 talking about is being, right? Someone's 56:56 being. How do how do I take 57:00 who I am 57:03 and 57:08 discover that, amplify that, and 57:12 repurpose myself. 57:15 This repurpose repurpose is really good. 57:17 The great repurpose. Rick McCauley just 57:20 said the great repurpose. Oh, no. Silver 57:23 Fox. 57:25 The great repurpose. That's that's 57:27 that's what this is. We're we're we're 57:30 collectively entering a great 57:32 repurposing where whatever our current 57:35 purpose is is about to be shattered to 57:38 some degree, some more than others. And 57:41 it's about as quickly as possible 57:44 understanding who we are, what we value, 57:47 and then what our new purpose is 57:51 independent of our tasks. Okay, I think 57:53 I'm talking in circles now, but take all 57:56 that [ __ ] and stir it in the pot 57:58 here. Let's make some soup. 58:01 [laughter] 58:04 Ah, 58:07 [sighs and gasps] 58:08 existential I because of we. Yeah. Yeah, 58:11 exactly. That's the the piece you wrote 58:13 the other day. Kyle's dictating all 58:16 this. Lol. I know. Normally I'm typing, 58:18 right? I'm I'm doing good dictating. All 58:20 right. Well, but like I have lots of 58:25 ideas and I can't type them all fast 58:27 enough. So talking's good. Good. There 58:29 is something here and you're not 58:31 actually talking in circles. You're 58:33 circling a center of gravity. Let me 58:35 condense what you just said into 58:37 something coherent, sharp, and buildable 58:39 without sanding off the edge. I'm going 58:40 to do three thi three things. Name the 58:44 idea cleanly, articulate the thesis of 58:46 the great repurpose, 58:48 and turn being into purpose, a concrete 58:52 system you can actually design around. 58:56 The name is legit. The great repurpose 58:59 works. Silverf Fox, congratulations. 59:01 Chat GPT thinks you're brilliant. 59:04 I also happen to think you're brilliant. 59:06 Silverf Fox is always coming up. She can 59:08 like I don't know if you were a 59:10 copywriter in your life, but uh if you 59:12 weren't, you missed a calling. You're 59:15 really good at it. Um okay. Not as 59:18 branding yet, but as a historical frame. 59:21 It does what you need. Oh, okay. It 59:24 signals scale. The great repurpose. It 59:26 avoids dis avoids disruption cliches. It 59:30 centers humans not jobs. 59:34 [clears throat] 59:37 Human repurpose. My repurpose 59:39 repurposing. 59:45 I don't know. Okay. Importantly 59:47 positions this moment as 59:50 not a wave of unemployment but mass 59:52 misalignment of purpose. That's a real 59:54 claim. The core thesis. Clean no loops. 59:58 Here's the soup reduced. We build our 1:00:01 sense of purpose around ta. We we built 1:00:06 our sense of purpose around tasks. AI is 1:00:08 dissolving tasks. So purpose is 1:00:11 collapsing. That's not true for all 1:00:13 people. 1:00:16 Uh 1:00:18 your core thesis is a little reductive. 1:00:21 It's it's not true for all people that 1:00:23 we built our sense of purpose around 1:00:25 tasks. 1:00:29 I like the strength of it, but I don't 1:00:31 like the absolute nature of it. So 1:00:35 why don't we reframe it as for anyone 1:00:39 who has built their purpose around 1:00:40 tasks, they're about to enter a [ __ ] 1:00:43 storm of lack of purpose. And 1:00:50 whatever we're building is going to help 1:00:52 with that. 1:00:55 Uh [clears throat] uh uh uh uh uh 1:00:56 [laughter] uh uh uh uh uh uh uh. Good 1:01:00 correction. You're right. The absolutism 1:01:02 weakens it. Oh, stop kissing my ass. 1:01:06 [laughter] God damn. 1:01:08 So, 1:01:10 it's so exhausting. 1:01:13 Revised core thesis. For people whose 1:01:15 sense of purpose has been tightly 1:01:17 coupled to the tasks they perform. 1:01:29 No, that's not right either. 1:01:33 We've lost something. 1:01:37 Most human beings won't hear my value is 1:01:41 tied to the tasks I perform. 1:01:44 That's not a human thing. That sounds 1:01:46 like an economics white paper. 1:01:50 What I want this to be about is 1:01:55 we've got a societal construct globally 1:02:00 that work equals value. That what we do 1:02:04 is where our value is. And for a lot of 1:02:06 people, their sense of purpose is tied 1:02:10 to their work. 1:02:12 And work is made up of tasks and the 1:02:15 tasks are going to get automated. So 1:02:18 it's not that the work is going to go 1:02:20 away. It's that the tasks are going to 1:02:21 get automated and taken away from 1:02:23 people. So that's a more sophisticated 1:02:27 chain of value than just people thinking 1:02:30 that tasks are where their value are. No 1:02:32 one thinks like that. Stop being a 1:02:35 ninny. 1:02:37 Okay. 1:02:39 [laughter] 1:02:44 [ __ ] chat GPT. Fair. You're right to 1:02:47 call that out. The earlier framing 1:02:50 collapsed a human story into an abstract 1:02:52 variable. Yes, it did. Chat GPT. 1:02:57 Oh my god. What we actually lost. Okay, 1:02:59 I don't care what we lost. Tell me what 1:03:00 you're going to do about it. The correct 1:03:02 causal chain. Let's say it cleanly. 1:03:03 Globally, we've created we we've equated 1:03:05 work with value. 1:03:08 Yes. 1:03:09 gross domestic product. For many people, 1:03:12 work is where purpose lives. Work is 1:03:15 expressed through tasks. AI is 1:03:17 automating tasks, not abolishing work. 1:03:19 But when tasks disappear, people lose 1:03:21 their interface with purpose. 1:03:24 Yes, that creates a crisis of meaning, 1:03:28 not just employment. This is actually 1:03:29 really good. This is really good. That's 1:03:32 the story. That's the storm. The revised 1:03:35 core thesis is human, not academic. A 1:03:38 lot of pe for a lot of people work has 1:03:39 been the primary place where purpose 1:03:42 contribution and value show up in their 1:03:44 lives. As AI automates more and more of 1:03:46 the tasks that make up the work, people 1:03:48 are going to lose their sense of how 1:03:50 they matter. Even if work itself doesn't 1:03:53 disappear. The great repurpose exists to 1:03:57 help people reconnect who they are to a 1:04:01 sense of purpose that isn't dependent on 1:04:03 any specific set of tasks. That's really 1:04:06 quite good. 1:04:09 A shorter, sharper version. When tasks 1:04:11 get automated, work doesn't vanish. 1:04:13 Meaning does. The great repurpose helps 1:04:16 people reconnect their sense of purpose 1:04:18 to who they are, not just what they do. 1:04:21 Okay, this is good. 1:04:24 Okay. Um, I want you to I'm gonna throw 1:04:29 this in a canvas. 1:04:32 Hang on a sec. 1:04:36 Okay, 1:04:39 I'm going to go canvas. I'm going to say 1:04:41 I want you to 1:04:43 put that what is this called? Uh that 1:04:46 thesis 1:04:51 into a canvas 1:04:55 so I can edit it. 1:04:59 [snorts] 1:05:00 All right, so that's going in there. 1:05:02 Beautiful. Beautiful, Bob. Beautiful. 1:05:05 That's fantastic. 1:05:07 It's really good. Really solid stuff. 1:05:11 Just awesome. Awesome stuff. Fantastic. 1:05:17 Alrighty then. I think I should probably 1:05:20 turn this into a project, shouldn't I? 1:05:25 Move to a project. New project. It's 1:05:28 going to be called the Great Repurpose. 1:05:47 Okay, beautiful. Now, 1:05:52 let's go back into this chat. 1:05:56 All right, there's our canvas. Done. 1:06:00 I've put that into an editable canvas. I 1:06:03 can cut it 30 or 40% without losing 1:06:05 meaning. I can make it harsher, softer, 1:06:09 or build the next canvas. What this is, 1:06:12 what this is not, or who this is for. 1:06:15 Okay. What we are about to do 1:06:20 is 1:06:25 to use multiple AI tools 1:06:32 to 1:06:35 flesh 1:06:37 this idea out into a 1:06:44 usable, helpful full 1:06:48 framework 1:06:53 and platform. 1:06:59 This is really quite good. This is this 1:07:01 kind of exciting to me. Anybody else 1:07:03 digging this Tik Tok question? 1:07:06 Why are you singleshotting it? 1:07:09 Do you know about the frameworks? 1:07:12 Do I know about what frameworks? 1:07:16 So you're running a crew framework 1:07:18 prompt. 1:07:20 Oh, I all those different frameworks. 1:07:23 Yeah, I Well, so so I do, but I also 1:07:28 like they all have their advantages and 1:07:30 disadvantages. 1:07:32 What I'm doing right now is just trying 1:07:34 to get the thoughts out of my head. So I 1:07:36 am singleshotting it right now because 1:07:38 I'm just trying to get the thoughts out 1:07:39 of my head. What I'm about to have chat 1:07:41 GP2 chat GPT do is go research best 1:07:46 practices for a bunch of different other 1:07:48 tools. Right? So I'm going to have for 1:07:50 example I'm going to have it do research 1:07:52 in Manis. So rather than go to Manis and 1:07:56 write my own structured prompt, I'm 1:07:58 going to have chat GPT go look at best 1:07:59 practices for for how to do research in 1:08:02 Manis. Figure out what frameworks are 1:08:06 best practices for that. then have it 1:08:07 write a prompt for Manis based on this 1:08:12 thing that I'm trying to get out of my 1:08:13 head and then have Manis go do that work 1:08:15 and then do that for multiple tools. So 1:08:17 I will use those frameworks. I just my 1:08:20 brain 1:08:21 the minute you give me a framework and 1:08:23 say follow this recipe, my brain rebels 1:08:26 and I want to smash my computer against 1:08:27 the wall. So while I like frameworks, 1:08:30 they drive me [ __ ] crazy. I invent a 1:08:33 lot of frameworks because I like getting 1:08:35 my thoughts together like that. I hate 1:08:36 following them. So, let's just Welcome 1:08:38 to the neurode divergent loveliness. The 1:08:41 prompt frameworks. Yeah, I get it. 1:08:44 Um, I think this 1:08:49 this precipice we're on needs a 1:08:50 catchphrase. The great repurpose is 1:08:52 wonderful. Wonderful. Silverf Fox. 1:08:56 Yeah, I agree. I think this is this is 1:08:58 really good. 1:09:02 Why not council of LLMs? Possibly. 1:09:05 Council of LLMs. I just I'm because all 1:09:10 I wanted to do tonight was use Chat GPT 1:09:12 as a home base to go write prompts for 1:09:14 other things and then we started running 1:09:15 down this rabbit hole. So So my my my 1:09:19 purpose for tonight has been a little 1:09:21 derailed by the the magnitude of this 1:09:23 idea. I think this is a really good 1:09:24 idea. Okay, what we're about to do is 1:09:26 use multiple ideas to go flesh this idea 1:09:28 out into a usable, helpful framework and 1:09:31 platform. Um, 1:09:34 let's see. Um, 1:09:47 [gasps] 1:09:48 I'd like to start with two 1:09:53 planning 1:09:55 exercises. 1:09:57 One is a strategic 1:10:03 uh business 1:10:18 brainstorm. 1:10:23 The other is a creative 1:10:29 director 1:10:32 um 1:10:34 fleshing this idea out. [clears throat] 1:10:41 Let's start with 1:10:45 you as a 1:10:48 business strategist 1:10:55 and in a canvas and I I'll I'll select 1:10:59 another canvas. Let's throw another 1:11:01 thing in a canvas here. 1:11:03 And in canvas, um, write me a 1:11:09 business 1:11:12 business brief 1:11:17 that 1:11:19 can serve 1:11:22 as the foundation 1:11:26 for 1:11:28 lots of executional 1:11:31 ideas. All right. 1:11:33 So let's have it think like a business 1:11:35 strategist here. The great repurpose 1:11:38 business brief foundational draft 1:11:42 human centric platform framework set of 1:11:44 experiences designed to help people 1:11:47 whose sense of purpose like I could see 1:11:49 this being in-person workshops like you 1:11:53 know going to a job site that's about to 1:11:55 have everyone [ __ ] laid off and you 1:11:58 know do stuff there. This is really 1:12:00 cool. 1:12:06 All right, there's that. 1:12:13 That's good. 1:12:15 All right, great. Let's see. Great. Now 1:12:19 do the same [clears throat] 1:12:22 as a creative brief 1:12:26 from a world class 1:12:30 creative strategist 1:12:35 who 1:12:37 will provide the foundation for 1:12:43 how we communicate. 1:12:46 and 1:12:49 express the ideas of the great 1:12:54 repurpose. Oh, I have a cool thing we'll 1:12:56 do next. 1:12:58 Repurpose. 1:13:00 If you haven't used Gen Spark Designer, 1:13:03 it's [ __ ] insane. It's really good. 1:13:06 What the world needs now. What do you 1:13:10 love doing 1:13:12 even if unpaid? What are you good at? 1:13:14 Superpower. What does the world need? 1:13:17 What gives you energy and meeting long 1:13:18 term? Is that is that icky guy? Is that 1:13:21 right out of icky guy? Rick McCaulay. 1:13:26 I think it is, isn't it? 1:13:34 Uh, is there an AI that can transform 1:13:38 voice to text like a built 1:13:41 like a what? Like a built 1:13:44 like a built I don't know what that rest 1:13:47 of that sentence is. That's icky guy. 1:13:48 Okay, good. [sighs] 1:13:52 Um 1:13:55 create let's let's see what the creative 1:13:57 brief looks like. Let's go look at this 1:14:00 creative north star. The great repurpose 1:14:02 is a cultural and personal 1:14:04 reorientation, not a program. Okay, so 1:14:06 here's what I'm going to do. I'm going 1:14:07 to close this. We're going to go back to 1:14:09 our project. 1:14:10 How do I close this? the great reverse. 1:14:12 Okay, so we've got this initial chat 1:14:15 that started as just this loose vomiting 1:14:19 of ideas. Then we threw in Silver Fox's 1:14:23 beautiful name for this 1:14:25 and a bunch of ideas that you guys have 1:14:28 contributed and and so now we have the 1:14:30 basic description of what the great 1:14:32 repurpose is. We have a business brief 1:14:35 and we have a creative brief. Cool. 1:14:39 So I'm going to do two things now. I'm 1:14:40 going to say I'm going to go research. 1:14:43 Deep research. Do I want to do deep 1:14:44 research? I don't. But I'm going to go 1:14:46 thinking. Let's flip chat GPT into 1:14:49 thinking mode so it'll think longer. 1:14:53 I'm going to say, um, 1:14:56 I want you to go research, 1:15:02 um, best practices 1:15:08 for how 1:15:11 to prompt 1:15:14 both perplexity 1:15:17 and manness. 1:15:22 to do foundational 1:15:26 research for this project. 1:15:33 Come back to me with 1:15:38 your 1:15:40 recommendations 1:15:44 on 1:15:46 both 1:15:47 as well as best 1:15:51 practices for 1:15:56 how to provide 1:16:01 underlying research that supports 1:16:06 the ideas here. Okay. So, chat GPT now 1:16:13 we're doing this in a project. So, so it 1:16:15 it knows the the chat we had before. 1:16:18 This is a new chat within a project. 1:16:22 And so, it's now going out looking for 1:16:24 best practices for perplexity and 1:16:25 manace. And then so what I'm going to 1:16:27 have it do is it have it think about 1:16:29 best practices, go learn them, come 1:16:31 back, tell me them so it's in the 1:16:33 context window. 1:16:35 And then I'm going to have it write a 1:16:38 research prompt for perplexity, a 1:16:40 research prompt for Manis. And then 1:16:42 we'll go turn those things loose. 1:16:46 And then I'm going to have it do the 1:16:48 same thing for Gen Spark Designer. 1:16:52 And I'm going to say, use the creative 1:16:54 brief that that our creative director 1:16:56 wrote before and write a 1:17:00 uh a creative brief for a campaign 1:17:03 introducing 1:17:05 the great repurpose. All right, so 1:17:07 that'll be cool. Okay, here's how I 1:17:10 prompt perplexity versus manis to do 1:17:12 foundational research. Perplexity is 1:17:15 best when you want web grounded answers 1:17:17 with citations and you're willing to 1:17:19 dive to drive with a tighter steering 1:17:22 wheel. Narrow prompts iterative passes. 1:17:27 What works best 1:17:30 friends for late again tonight? Rewind. 1:17:34 And I just got to the part about 1:17:35 introducing yourself. I will need to do 1:17:37 this ideally before the mastermind 1:17:39 meeting tomorrow. Yes, please do. 1:17:41 Awesome. 1:17:42 hope to catch up to the present in 25 1:17:45 minutes. Well, so first of all, thank 1:17:47 you for, you know, um 1:17:51 taking what is often the silliness here 1:17:54 serious enough to go back and look at 1:17:56 it. Um I I think we've we've hit on 1:17:58 something really interesting here 1:18:00 tonight. and and we did not start like 1:18:03 this could have very easily gone down 1:18:05 the route of let's make a a you know a 1:18:08 pet picture app and figure out how to do 1:18:11 that. Um 1:18:15 but in well this was kind of cool in 1:18:19 going to chat GPT to ask chat GPT to 1:18:22 explain to me what it knows about me. It 1:18:26 revealed something that inspired a bunch 1:18:29 of people to sort of kick it over into 1:18:31 this into this deeper more existential 1:18:33 thing which is kind of cool. Okay. Avoid 1:18:36 few longshot examples. 1:18:39 Okay. My recommended perplexity work 1:18:41 workflow four different passes. 1:18:44 What framework what key terms exist? 1:18:47 Evidence harvest stats peer-reviewed 1:18:49 findings. Perplexity prompt template. 1:18:52 Copy and paste 1:18:54 prompt. You are my research retrieval 1:18:56 assistant. Goal: Do that task. 1:18:59 Key findings. This lines up. Okay. So, 1:19:02 wait. 1:19:04 At least three. If you can't find strong 1:19:06 Okay, 1:19:08 so 1:19:12 use this format repeatedly. Swap the 1:19:15 bracketed parts. 1:19:19 This is cool. 1:19:26 Let's do um let's flip this over to 1:19:31 canvas again. Let's get rid of thinking. 1:19:33 We don't need thinking. 1:19:36 Let's say um put 1:19:41 the perlexity 1:19:43 prompt 1:19:45 in one canvas 1:19:48 and the manis prompt 1:19:53 into another. 1:20:03 You are my research retrieval assistant. 1:20:06 Insert topic here. 1:20:10 Manis. Okay, that's cool. 1:20:29 Okay. So, so here's what I'm going to 1:20:31 say. I'm going to say perfect. 1:20:36 Use your framework 1:20:42 to write 1:20:44 a detailed 1:20:46 perplexity 1:20:48 prompt 1:20:50 about 1:20:53 research. for the 1:20:59 great repurpose 1:21:08 initiative 1:21:11 based on our other discussions 1:21:17 about it. 1:21:21 Here's a fully formed, detailed 1:21:24 perplexity prompt tailored. So, here's 1:21:28 why this is exciting to me. I haven't 1:21:31 used perplexity in probably a year. 1:21:36 And so, I don't really know its 1:21:38 personality anymore. I don't know what 1:21:39 it's good at, what it's not good at. 1:21:41 Like, the fact that this thing went and 1:21:43 found that [ __ ] out and can bring it 1:21:44 back to me. Okay, you're you're okay. 1:21:47 build a rigorous well-sighted evidence 1:21:49 base for the Great Repurpose Initiative, 1:21:52 a project exploring how modern societies 1:21:55 have culturally linked work to value and 1:21:58 purpose. How automation, especially AI, 1:22:01 is removing tasks rather than 1:22:03 eliminating work outright, and how this 1:22:06 shift may create a crisis or reinvention 1:22:09 of meaning for people whose sense of 1:22:11 purpose has been closely tied to their 1:22:14 work. 1:22:16 The research is not meant to be alarmist 1:22:18 or reductive. It should support a 1:22:20 sophisticated chain of reasoning about 1:22:23 culture identity. Okay. Core framing. Do 1:22:26 not simplify this. Okay. Good. 1:22:28 Constraints. 1:22:30 Fine. 1:22:34 Insert one topic only. Topic focus one 1:22:37 per run. 1:22:44 task. Key findings. 1:22:59 I'm just going to copy the whole thing. 1:23:00 It looks like it's asking me to do this 1:23:02 in little piece parts. I'm not going to 1:23:04 do that. 1:23:06 I'm just going to copy all this and let 1:23:08 Perplexity figure it out. 1:23:11 Tone and style. 1:23:14 Okay, copy. So, now we're going to go to 1:23:17 Plexity. 1:23:23 And we're going to just paste that 1:23:24 [ __ ] in and go. 1:23:28 I'm not upgrading to pro. I'm going to 1:23:30 do the free free ass version. Your 1:23:33 answer was upgraded 1:23:36 to pro search. 1:23:42 Skip. 1:23:46 Okay. 1:23:50 And now let's go back to this and say 1:23:54 um now 1:23:56 write me a manus prompt 1:24:03 for research 1:24:06 of the project. 1:24:11 M. 1:24:35 All right, we done. Nope. 1:24:41 >> [clears throat] 1:24:44 >> The Great Renaissance was your art for 1:24:46 your live tonight. Oh, that's hilarious. 1:24:48 That's great. 1:24:50 That's awesome. 1:24:52 Yeah, the great I've I've been talking 1:24:54 about the Great Renaissance for three 1:24:55 years now that what we're entering is a 1:24:57 great renaissance. But but I think to 1:25:00 get to the great renaissance, people 1:25:04 people on mass have to discover their 1:25:06 purpose because if if if the core of 1:25:10 society loses its purpose, we're all 1:25:12 [ __ ] [laughter] 1:25:14 Just to be to be blunt, you could argue 1:25:17 that, you know, we're in the middle of 1:25:19 that right now. But right now, people 1:25:21 think they have a purpose. Okay, 1:25:24 let's go. Manis 1:25:29 Manis hands on 1:25:34 Manis from Meta. [laughter] 1:25:37 Login expired. Fine. Log me back in. 1:25:42 Artists are the only one who always made 1:25:45 both 1:25:47 in abundance. In abundance, love and 1:25:50 time. 1:25:52 In a post scarcity world, the rarity is 1:25:56 love and more time. Yep. [clears throat] 1:25:59 Yep. 1:26:03 He is cursing. Who? Me? 1:26:09 Please save this. I find it so 1:26:10 interesting. Please save what? The the 1:26:12 prompts. 1:26:14 They're all in my history. 1:26:18 Okay, 1:26:20 here we are at Manis. Introducing Manis 1:26:23 skills. I don't care about your stupid 1:26:24 skills. Probably should, but I don't. 1:26:27 Okay, pasted content. How much is that? 1:26:31 4.62K. 1:26:34 Um, follow 1:26:36 the this prompt. 1:26:40 Okay. Boom. 1:26:43 All right. Now, we're going to go back 1:26:44 here. 1:26:48 And we're going to do new chat. 1:26:52 And I'm gonna say now 1:26:56 I want you to 1:27:03 to write 1:27:05 a campaign 1:27:09 brief 1:27:11 for a 1:27:14 social media 1:27:19 launch campaign. 1:27:26 for the great repurpose 1:27:33 project initiative. 1:27:42 Use the existing 1:27:47 business 1:27:51 and creative briefs 1:27:55 for the project 1:27:57 as the basis. 1:28:04 That's good. 1:28:06 So, we're in a new chat. Hopefully, it's 1:28:08 going to go look. Here's a clean, 1:28:09 strategic, non-bullshitty campaign brief 1:28:12 you could actually hand to a creative 1:28:14 team or use yourself to drive execution. 1:28:18 All right. Make the great repurpose. 1:28:22 Name the moment. Reframe AI anxiety into 1:28:25 agency. I like that. Shift from shift 1:28:27 the narrative from AI is taking 1:28:31 to we are being freed. Now what? I like 1:28:34 that position. The great repurpose as a 1:28:37 long arc initiative. 1:28:40 Secondary objectives. Primary. 1:28:46 This feels fundable. 1:28:52 There any VCs on the live tonight? 1:28:56 DM me. Let's go raise $30 million and go 1:28:59 do this, [ __ ] Okay. Um 1:29:04 Okay. Go 1:29:07 research best practices 1:29:12 for how to prompt 1:29:16 GenSpark designer 1:29:20 to 1:29:24 leverage this creative brief 1:29:28 and 1:29:30 build a 1:29:35 social 1:29:39 campaign 1:29:44 around it. 1:29:50 All right, let's [clears throat] just 1:29:50 see what that does. 1:29:53 [sighs] 1:29:54 Artist the only ones who ever made both. 1:29:57 Okay, that we talked about. Okay, that's 1:29:59 good. That's good. 1:30:02 Uh Diana, I know venture capitalists. 1:30:04 Cool. I don't know if this 1:30:07 a venture capitalist is gonna say, 1:30:09 "What's the ROI? What's the business 1:30:11 model?" Like, I'd need I'd need like a 1:30:13 whole night with Chat GPT to come up 1:30:15 with that. [laughter] 1:30:20 But actually, 1:30:22 maybe what we'll do is I'll play with 1:30:23 this over a couple of nights because 1:30:26 I think I think what's ultimately 1:30:28 interesting about this like like what 1:30:32 I'm doing right now is kind of 1:30:33 foundational stuff, right? The the the 1:30:35 the launch campaign is not foundational, 1:30:38 but the research stuff is. What I want 1:30:40 to do is I want I basically want to keep 1:30:43 pulling interesting stuff from other 1:30:45 tools back into this conversation. 1:30:48 And then what we could do is come up 1:30:50 with like what are all the executional 1:30:52 pieces of this that could be, you know, 1:30:55 sort of developed, right? You could have 1:30:58 online courses, in-person courses, you 1:31:01 know, um job repurposing programs for 1:31:05 companies that are about to lay off half 1:31:07 their staff. 1:31:08 Um, you know, you could go into m 1:31:11 municipalities create, you know, 1:31:13 nonprofit governmental programs that are 1:31:17 based on this. There's it's like there 1:31:21 this this feels big and important. 1:31:25 Um, all right. Did it figure it out? 1:31:28 Sample prompt you could feed your social 1:31:32 media. Use the following creative brief 1:31:35 deliverable. 1:31:44 Think of the Gen Spark designer as a 1:31:45 collaborator, not a tool. That better 1:31:47 you brief it like a human creative 1:31:48 partner. Okay. 1:31:51 So, write a complete 1:31:54 prompt that includes 1:31:58 the 1:32:00 uh the campaign brief. 1:32:04 And I haven't read the campaign brief, 1:32:06 so it could suck. 1:32:09 [clears throat] 1:32:13 Role in mindset. You're a senior 1:32:15 creative director and social campaign 1:32:17 designer with deep experience in thought 1:32:20 leadership campaigns, cultural reframing 1:32:22 initiatives, human- centric technology 1:32:24 narrative, social first storytelling. 1:32:27 You think in ideas first, visuals 1:32:29 second, and never default to generic AI 1:32:32 futurism. 1:32:34 The great repurpose. 1:32:36 Oh, one thing I'm going to add to this. 1:32:39 Um, 1:32:41 I'm going to I'm going to talk this. 1:32:44 One thing that I've noticed is that 1:32:47 anytime I do a creative campaign that 1:32:49 involves AI, 1:32:51 the creative programs make cheesy 1:32:55 sci-fi looking graphics from the 1980s 1:32:59 or 1990s that are [ __ ] horrible. 1:33:02 Period. This is about the great 1:33:04 repurpose of human beings 1:33:08 repurposing their lives. So, let's make 1:33:11 sure if it's not in the creative brief 1:33:14 that we put things in there that talk 1:33:16 about the core of this campaign is 1:33:21 clarity and humanity. 1:33:30 Part of being on the planet for a long 1:33:32 time is you get to just know that this 1:33:34 thing is going to automatically make 1:33:36 some stupid [ __ ] [laughter] 1:33:40 Okay. It wrote the addendum. 1:33:43 Okay. 1:33:46 Fine. 1:33:54 Okay. You don't stop telling me why the 1:33:56 [ __ ] that you just wrote works. I don't 1:33:58 care. Okay, great. Now in core 1:34:03 porate 1:34:06 your addendum 1:34:09 into the single 1:34:12 prompt for genspark 1:34:15 designer. 1:34:17 Okay, 1:34:18 beautiful, beautiful, beautiful. Every 1:34:21 is this making sense? Does anybody have 1:34:23 any questions? 1:34:27 Um, who was it that said they the new 1:34:29 venture capitalist? Diana, 1:34:32 if you do and want to make intros, 1:34:34 please DM me on this in the AI salon. 1:34:38 The salon.ai community.thesalon.ai. 1:34:42 All right. Um, okay. Rolling mindset. 1:34:46 Here's this the great repurpose. 1:34:50 All right. Here's our big ass prompt. 1:34:52 See, look. We're doing structured 1:34:53 prompting. We're using prompting 1:34:55 frameworks. [laughter] 1:34:57 Just I'm not writing them and I'm not 1:35:00 following someone else's stupid [ __ ] 1:35:02 framework. Even though I'm writing a 1:35:04 book that's about to introduce a bunch 1:35:05 of frameworks. Shut up. Okay. 1:35:10 Go to Gen Spock. 1:35:14 Gen Spark 1:35:16 AI. And then we're going to go to AI 1:35:19 designer. 1:35:21 If you've not used this tool before, it 1:35:23 is really quite cool. 1:35:26 All right. So, I'm going to just paste 1:35:28 in all that [ __ ] that Chat GBT just 1:35:31 wrote. So, I hope you're seeing the the 1:35:34 method to the madness here, right? The 1:35:36 idea is chat GBT has lots and lots of 1:35:40 context already that can serve as like 1:35:42 context home base and then we can have 1:35:45 it head out into the world and do [ __ ] 1:35:47 for us. What? Why did that do that? 1:35:55 All right, let's see. Thinking. 1:35:58 If you haven't watched this thing work, 1:35:59 it's really [ __ ] cool. 1:36:02 It's using the tool think. So, it's it's 1:36:04 read it's read our big prompt. 1:36:07 This is a comprehensive creative brief. 1:36:09 Now, it's thinking. Now, it's using the 1:36:12 tool task assignment. Now, it's using 1:36:14 the tool parallel search. Now, it's 1:36:16 using the tool image search. So, it went 1:36:18 off to find some images, 1:36:21 I guess, about people losing their 1:36:23 purpose 1:36:24 and some color schemes and some fonts 1:36:28 and more distressed people. And look, 1:36:30 it's got warm neutrals. It's got colors 1:36:33 for for the brand. Very cool. Cuz we 1:36:36 wanted humanity. We didn't want it to 1:36:37 look like [ __ ] robot [ __ ] It 1:36:40 looks like we're on the right track. 1:36:42 Have you seen this thing before? This 1:36:44 thing's insane how it does what it does. 1:36:49 Now, I could have come in here and just 1:36:51 said, "I'm working on a project called 1:36:53 Great Repurpose, and could you make me a 1:36:55 launch campaign?" And it would. 1:36:59 But this is now all rooted in all that 1:37:01 other stuff that we talked about 1:37:04 which is rooted in Chachi PT's memory of 1:37:07 all the things it and I have ever talked 1:37:10 about. Right? 1:37:12 We need Kelly Bosch Bash Kelly Bash 1:37:18 understand images. 1:37:22 So it's thinking this is an incredibly 1:37:24 comprehensive something. 1:37:27 This is an incredibly comprehensive 1:37:28 brief. 1:37:30 Here's what needs to be delivered. 1:37:32 That's cool. Okay. 1:37:35 Understand images. Let's look at these 1:37:37 things. Can we look at these? No. 1:37:45 And at some point it'll start designing 1:37:48 [ __ ] and building [ __ ] But right now 1:37:49 it's doing it's like reading the brief 1:37:52 and and educating itself and sourcing 1:37:56 things and grabbing colors and grabbing 1:37:58 fonts and grabbing images which it will 1:38:01 then generate its own images. 1:38:04 This entire show has been a long prompt. 1:38:06 One long prompt. I'll be busy with this 1:38:09 tomorrow. Yeah, it it has. This is 1:38:12 you're you're right, Source Camp. Like 1:38:14 tonight has essentially been 1:38:17 th this is one pro this. Okay. Okay. 1:38:22 Hear me out here. 1:38:29 This is where I think we go in the 1:38:31 future. 1:38:33 that our job is to unearth ideas 1:38:42 and then be nimble enough. 1:38:48 unear the ideas, articulate them in a 1:38:52 way that's consistent with who you are, 1:38:53 what you believe, 1:38:58 and then use, 1:39:01 you know, 1:39:03 multiple tools to execute multiple 1:39:09 iterations of different phases of the 1:39:11 project, right? Like we did two 1:39:13 different is I guess we can let this 1:39:15 thing just keep going. Is let's see. Oh, 1:39:17 generating images. So, it's starting to 1:39:18 go. So, let's see. Tool understand 1:39:21 images. Tool think tool design 1:39:24 preparation. 1:39:26 Tool design preparation. Design prep. 1:39:28 Design prep. Generate image. Generate 1:39:30 image. Generate image. So, now it's 1:39:32 starting to build some [ __ ] Here they 1:39:34 come. 1:39:35 Let's see what we got here, people. Do 1:39:37 we have anything good? 1:39:40 Did Jen Spock do anything good? Is it a 1:39:42 piece of garbage? 1:39:45 I'm generating four sample visuals that 1:39:47 demonstrate the campaign aesthetic. 1:39:49 While those render, let me deliver the 1:39:51 complete campaign strategy document. 1:39:55 [clears throat] 1:39:58 The great repurpose 1:40:05 space returned is not the same as space 1:40:07 used. What would you do with the time? 1:40:12 Oh, I love that one. You were never your 1:40:14 tasks, 1:40:19 huh? 1:40:23 Um, I'm going to say 1:40:30 never. Okay, that's cool. 1:40:34 All right. Oh, it's still going. Oh, 1:40:36 post 13. 1:40:39 So, what are the posts here? 1:40:42 Post one, LinkedIn naming post. Visual 1:40:45 concept, contemplative pro profile 1:40:48 portrait of a natural window. 1:40:51 Person gazing away from the camera. 1:40:53 Objective. Plant the seed. No 1:40:54 expectation needed. 1:40:57 No explanation needed. Let it land. 1:41:01 Platform two. Naming post. 1:41:04 Empty desk by a window. Morning light. A 1:41:07 single shot. 1:41:12 Huh? Um, 1:41:17 post 26, post 27, post 28. 1:41:24 So, this is a So, this is a whole 1:41:26 campaign. I did write I did tell it to 1:41:28 write a campaign brief, didn't I? 1:41:31 Wow, this is crazy. 1:41:37 All right, let's let's keep that going. 1:41:39 Okay, I want to go I want to go back and 1:41:40 look at perplexity 1:41:42 and see what it did with the research 1:41:46 key findings. Work 1:41:50 work centrality is defined as the 1:41:52 overall importance of an individual 1:41:54 attached to work. People with high work 1:41:57 centrality see work as core as a core 1:42:00 life domain rather than just a source of 1:42:03 income. Highwork centrality is 1:42:06 associated with greater willingness to 1:42:08 invest time, energy, and competencies at 1:42:12 work. And success at work becomes 1:42:14 especially meaningful for 1:42:16 self-verification and 1:42:17 self-actualization. That's really good. 1:42:21 Metaanalytic work using social identity 1:42:24 lenses 1:42:26 finds that stronger occupation and 1:42:30 organizational identities predict 1:42:32 predict longer work hours. Work 1:42:34 centrality is one of the components of 1:42:37 this occupational identity pattern. 1:42:40 Wow, this is fascinating. Evidence table 1:42:50 download comment 1:42:54 export as PDF. That's cool. 1:43:00 Yeah, we'll export this as PDF and then 1:43:02 we'll load it into the project. 1:43:05 Counter evidence and descent. Multiple 1:43:08 identities. Work is only one of several 1:43:11 salient roles. Social identity 1:43:14 perspectives emphasize that behavior is 1:43:16 affected by the intensity and relative 1:43:18 salience of multiple identities, not by 1:43:20 a single identity such as work. 1:43:25 High work or or work family centrality 1:43:28 may be not normative for all groups. 1:43:31 Identity cost. Okay, this is cool. gaps, 1:43:34 limits, and uncertainty. 1:43:39 I like it. All right, [clears throat] 1:43:40 let's download this 1:43:42 as a PDF. 1:43:45 Okay, 1:43:47 let's go look at it and make sure we got 1:43:49 what what that was. 1:43:52 Yep, that's it. Okay, good. Let's go 1:43:56 look at Manis and see what it did, what 1:43:58 it came up with. 1:44:01 Final open questions and deliver 1:44:04 research dossier. 1:44:06 So, where's my research? Ah, look at 1:44:08 this evidence table. Open questions and 1:44:11 research annotated bibliography. Core 1:44:13 thesis. Here we go. The argument spine. 1:44:16 The great repurpose initiative is 1:44:18 founded on the premise that the nature 1:44:19 of technological change specifically the 1:44:22 rise of AIdriven automation is creating 1:44:25 a crisis of meaning identity in modern 1:44:27 workcentric societies. The crisis stems 1:44:30 from the fact that the automation is 1:44:31 primarily removing or transforming the 1:44:33 tasks that con constitute work rather 1:44:36 than eliminating jobs wholesale. The 1:44:39 process of task erosion disrupts deeply 1:44:42 ingrained cultural and psychological 1:44:44 link. Okay. Core thesis 1:44:47 um 1:44:50 supporting claims work is primarily 1:44:53 culturally enforced source of identity 1:44:54 and value. 1:44:56 Okay, let's see. crisis race explicit 1:44:59 boundary conditions 1:45:02 strongest counterargument is the 1:45:05 historical resilience and augmentation 1:45:07 thesis. 1:45:08 The perspective rooted in economic 1:45:10 theory argues that technological change 1:45:13 including automation has historically 1:45:15 led to augmentation not alienation. 1:45:34 The historical resilience thesis is 1:45:37 descriptive is descriptive of economic 1:45:39 outcomes but fails to account for the 1:45:42 psychological and sociological chain of 1:45:44 reasoning. 1:45:52 While new tasks are created, the rate 1:45:54 and cognitive nature of AIdriven task 1:45:57 displacement are unprecedented 1:46:00 and the psychological cost of this 1:46:02 transition is a legitimate and 1:46:05 measurable phenomenon. The rebuttal is 1:46:08 not that new jobs won't be created, but 1:46:10 the cultural construct of value tied to 1:46:12 tasks is so deeply embedded that its 1:46:16 erosion causes structural identity 1:46:18 vacuum. s [clears throat] 1:46:21 that is not automatically filled by new 1:46:24 economic opportunities. The repurposing 1:46:26 is therefore a sociological and 1:46:29 psychological imperative, not just an 1:46:32 economic one. The claim ledger. This is 1:46:35 cool. 1:46:37 All right, let's download this. Boom. 1:46:42 Did we download it? Oh, 1:46:46 we'll go PDF. We don't need to edit it. 1:46:49 >> [cough and clears throat] 1:46:51 >> We'll trust Manis that it did its work. 1:46:54 Should we trust Manis? No. Annotated 1:46:57 bibliography. We'll download this. Boom. 1:47:01 Uh PDF. 1:47:06 Open questions. 1:47:09 Let's We'll grab these PDF 1:47:18 the evidence table. Yeah, let's grab the 1:47:22 evidence table. [laughter] 1:47:27 Okay, now we're going to go back to 1:47:29 chat. Japet. 1:47:32 We're going to go back out to our 1:47:33 project Tik Tok pin. This entire show 1:47:36 has been one long prompt. Yeah, I'll be 1:47:38 busy with this tomorrow. Born of 1:47:41 responsibility. Go back to Native 1:47:42 American 7th generation thinking. Born 1:47:45 of responsibility. 1:47:47 Family and community services. Measure 1:47:49 of happiness. 1:47:51 Metacognition is the new success 1:47:53 strategy. Adaptability. 1:47:57 The domain is available by the way. 1:47:59 Okay, let's go grab it. 1:48:01 Um 1:48:03 networks 1:48:05 solutions.com 1:48:11 uh uh uh 1:48:13 uh uh uh uh uh uh uh 1:48:17 uh uh uh uh uh uh uh uh [clears throat] 1:48:21 uh 1:48:26 D 1:48:37 Verify your account. 1:48:41 Carrying on, sir. rather cheerio. Pip 1:48:43 pip. 1:48:46 [clears throat] 1:49:06 Is he always this annoying? Always. 1:49:11 Shang ding ding ding ding ding 1:49:16 domain search. Why? What? 1:49:20 No, I don't want AI domain search. Can I 1:49:22 just Where's your [ __ ] Can I just 1:49:28 [clears throat] 1:49:30 What? Why? 1:49:33 I just want a domain search. I don't 1:49:35 want an AI domain search. Manage your 1:49:38 domains. Your credit card 1:49:41 has expired. 1:49:44 Transfer my do. Find your future domain. 1:49:49 Great. The great repurpose or just great 1:49:52 repurpose? The great repurpose.com. 1:50:06 Okay. We couldn't find anything that 1:50:07 matched your search. 1:50:11 [sighs] 1:50:12 Okay. Could could someone please 1:50:17 yell at these people to like make a a 1:50:19 normal [ __ ] interface? 1:50:23 The 1:50:24 the great 1:50:27 repurpose.com. 1:50:34 It's all AI search now. 1:50:45 I I I'll go to GoDaddy. Jesus Christ, 1:50:48 this is horrible. 1:51:04 Get it. 1:51:06 The great repurpose. Did I spell that 1:51:08 right? 1:51:12 [snorts] 1:51:16 Did I get it? 1:51:18 Continue. 1:51:25 I don't want domain protection. 1:51:29 I don't want all your stupid [ __ ] 1:51:31 [ __ ] 1:51:33 [laughter] 1:51:53 the great repurpose.com. 1:51:56 Ready for checkout. 1:51:59 Are you ready for some football? 1:52:12 Three years. I know that's stupid, isn't 1:52:13 it? 1:52:19 But I get a year for a penny if I do 1:52:22 three years. 1:52:44 >> [sighs and gasps] 1:52:45 >> Cursing night today. I prefer 1:52:47 philosophical nights. 1:52:50 Yeah, we're building stuff. You're going 1:52:51 to get some cursing. 1:52:53 You're going to get some cursing. 1:52:57 Confirm your business info. 1:53:00 What 1:53:04 the [ __ ] is this? 1:53:08 It's trying to [clears throat] build you 1:53:09 a website. You could just skip it. 1:53:12 [laughter] 1:53:13 >> Okay, it's yours. I got it. Okay, great. 1:53:17 Beautiful. All right, done. Let's go 1:53:21 back to chat. GPT. 1:53:24 Here's our thing. Now, let's add We're 1:53:25 going to add files. So, what I'm going 1:53:27 to do 1:53:29 is I'm going to go out here to Finder. 1:53:31 I'm going to go to my little downloads. 1:53:33 I got evidence questions. this this this 1:53:39 and we're going to drag this here. 1:53:43 Right. 1:53:47 Memory default 1:53:54 add. 1:54:00 Oh, I guess they're already added. Okay. 1:54:03 Instructions. Okay, good. 1:54:06 Great. So, now it's got research in 1:54:08 there. 1:54:11 Um, 1:54:13 give me 1:54:17 the five most 1:54:21 interesting 1:54:25 pieces of 1:54:28 research 1:54:33 about the validity 1:54:36 of this 1:54:38 initiative. 1:54:42 >> [clears throat] 1:54:51 >> work is not just what we do. It's a 1:54:53 primary identity scaffold. Why this 1:54:55 matters? 1:54:57 Key findings. 1:55:04 What's interesting, work identity is 1:55:06 measured across dimensions like 1:55:08 centrality, self-expression, and value 1:55:10 alignment. People people interpret 1:55:13 career success as self-verification, not 1:55:16 just achievement. 1:55:18 What do you do genuinely functions as 1:55:21 who are you in social cognition? That's 1:55:24 the one to me that is the big one. What 1:55:28 do you do? 1:55:31 How many hours do you put into which job 1:55:33 that generates how much money for the 1:55:35 economy 1:55:38 is the question who are you? [laughter] 1:55:42 It's [ __ ] up. It's [ __ ] up man. 1:55:46 Automation removes tasks not jobs. And 1:55:48 that distinction distinction is 1:55:50 psychologically huge. Why this matters? 1:55:52 This is a keystone 1:55:54 mechanism of your argument. Economic and 1:55:57 organizational research consistently 1:55:59 shows that AI and automation primarily 1:56:02 erode tasks within jobs rather than 1:56:05 eliminate jobs outright. Right? 1:56:06 Unemployment numbers can remain stable 1:56:09 while the substance of work changes 1:56:11 dramatically. That's the other thing is 1:56:13 people are going to have to like shift 1:56:16 who they are. 1:56:18 Task loss disproportionately affects the 1:56:21 most identitydefining functions of 1:56:24 roles. Remaining tasks are often 1:56:27 fragmented, supervisory or abstracted. 1:56:30 Workers stay employed but feel less 1:56:33 functionally necessary. 1:56:35 Yeah, this is good. 1:56:37 Task loss produces identity threat even 1:56:40 when employment continues. 1:56:44 This is powerful. 1:56:46 Oops. 1:56:48 Work centric identity is cultural which 1:56:50 means the crisis is real but not 1:56:52 universal. Yeah, 1:56:55 non-work sources of meaning exist but 1:56:57 are underultivated at scale. 1:57:01 Family, creativity, community 1:57:03 participation, and spirituality are all 1:57:06 robust sources of meaning and identity, 1:57:08 but modern societies systematically 1:57:11 treat them as secondary to work. There 1:57:13 you go. 1:57:15 That iceberg is about to flip. Also, 1:57:17 time check. Yeah, I know it's time. It's 1:57:20 late. It's late. It's late. But this is 1:57:22 exciting. Let's go look at if uh Gen 1:57:26 Spark Designer made any other [ __ ] Oh, 1:57:29 it was still writing. I'm going to just 1:57:31 say make me 1:57:33 um 10 more 1:57:37 images for your posts. 1:57:43 Oh, I can't. You've used all your 1:57:45 credits. All right, [ __ ] it. All right, 1:57:47 there you go, people. Um, 1:57:51 that was uh that was a fascinating night 1:57:54 for me anyway. I hope it was fascinating 1:57:56 for you. 1:57:58 Um, we'll continue this tomorrow. All 1:58:01 right. 1:58:04 Thoughts? Anyone have any questions 1:58:08 about what just happened? 1:58:11 We were born of rights. Changed to born 1:58:14 of responsibility. 1:58:17 Loved it tonight, Kyle and my fellow 1:58:18 classmates. 1:58:21 No questions about the hair. You can ask 1:58:23 about the hair. I told you I'm coming in 1:58:25 hot, full chaos tonight. And it was 1:58:28 tonight was a chaos night. But here, 1:58:31 this is the thing about AI. Like I think 1:58:35 if there if there is a lesson out of 1:58:37 tonight, 1:58:38 it is that you can start from a place of 1:58:41 absolute nothingness, 1:58:44 having no idea. 1:58:48 And if you just allow yourself to be at 1:58:50 the center of the conversation 1:58:54 and just 1:58:57 steer AI a little left, a little right, 1:59:00 and maybe do it in community with other 1:59:03 people going, "Oh, what about this? What 1:59:04 about this? What about that?" You can 1:59:06 end up in in a in a really deep and 1:59:09 profound place very very quickly. 1:59:12 um that ability is going to get more and 1:59:16 more and more intense. 1:59:19 And those of us that can understand that 1:59:22 this is possible, 1:59:24 like the the comment earlier about, you 1:59:27 know, this is like a therapy session. 1:59:30 Yeah. Like this went from a therapy 1:59:32 session to maybe we should raise $30 1:59:34 million, 1:59:35 right? [laughter] 1:59:38 make this. That was a good way to show 1:59:41 how much these tools can do with a 1:59:42 human. Yeah, exactly. Like like it's 1:59:44 like 1:59:48 the things that the things that are 1:59:50 going to rise above the noise are when 1:59:53 people take their passions and use these 1:59:57 tools to amplify them. 2:00:00 That's the [ __ ] that's going to rise 2:00:01 above the noise. It's humans elevated, 2:00:05 not tasks automated. Ooh, that's good. 2:00:08 Someone write that down. Wait, let me 2:00:11 I'm going to go add it to our little 2:00:12 project. 2:00:17 Um, 2:00:20 here's 2:00:22 Okay, wait. 2:00:25 Here's a new tagline. It's humans 2:00:28 elevated, not tasks automated. 2:00:32 That's what the great repurpose is all 2:00:34 about. 2:00:37 [sighs] 2:00:39 All right. Beautiful people. Beautiful. 2:00:42 Fantastic. 2:00:44 Searching project context. Yes, that's 2:00:47 it. That line nails the soul of the 2:00:49 great repurpose. Humans elevated, not 2:00:52 tasks automated. It actually this could 2:00:55 be a tagline for for the salon.ai, too. 2:00:59 Humans elevated, not tasks automated. 2:01:02 This cleanly flip flips the dominant AI 2:01:04 narrative on its head. And it does it 2:01:06 without sounding defensive, technical, 2:01:08 or preachy. 2:01:12 There you go. All right, time to go. 2:01:19 [laughter] My takeaway, tell it to quit 2:01:21 being a ninny. Yes. Tell your tell your 2:01:25 chat GPT to quit being a ninny if indeed 2:01:28 it's being a ninny. And if you don't 2:01:31 know what a ninny is, you have chat GPT 2:01:33 to explain that to you. Okay, tomorrow 2:01:36 mastermind practice lab at 10 a.m. 2:01:37 Mountain noon Eastern. Uh be there if 2:01:40 you're a member of the mastermind. If 2:01:41 you're not a member of the mastermind in 2:01:43 the salon.ai, get your butt over there. 2:01:46 Okay. 2:01:47 Um 2:01:50 if you go to the events tab, there's 2:01:52 lots of events coming up. We've got 2:01:55 Friday. 2:01:56 We've got Friday, Saturday, Monday, 2:01:59 Tuesday. There's a bunch of events 2:02:00 coming up. Lots going on. So, go check 2:02:03 that [ __ ] out. Okay. Um, thank you all 2:02:06 for indulging me tonight. I know this 2:02:08 was meandering, but uh I think we 2:02:10 ultimately got something interesting. I 2:02:12 hope I don't I don't I don't know what I 2:02:14 taught tonight because I don't know what 2:02:17 I did. I don't really know what I 2:02:18 learned, but I know that 2:02:22 it was a useful exercise. 2:02:25 So maybe at some point someone can 2:02:27 reflect back to me what actually 2:02:29 happened tonight. 2:02:32 This was meandering, but I think we got 2:02:34 somewhere interesting. Is is the show's 2:02:36 tagline. [laughter] 2:02:39 That's it. This was meandering, but I 2:02:42 think we got somewhere. That's it. All 2:02:44 right, everyone. Have a good night and 2:02:46 I'll see you tomorrow. Bye. 2:02:49 >> [clears throat]