
AI Learning Lab
3/4/2026 - The Seven Economies of AI and How to Choose the Right Path for Your Future

Live Stream2026-03-051:50:4472 views
Description
What will the agents say next? "Here's your big, fat check?" or "You're right to be upset that I just transferred all of your savings to that Nigerian Prince. In my defense, he was very convincing."
Kyle Shannon explores the intersection of music and technology by using Suno to transform simple guitar arpeggios into cinematic symphonies. He introduces a spontaneous theory on the "Seven Economies," a spectrum ranging from analog "blueberry farms" to autonomous, agent-driven businesses. This session highlights how AI allows creators to take small fragments of ideas and reflect them back as elevated, complex works.
The discussion dives into why humans are becoming the bottleneck in high-speed digital lanes where AI agents work without pause. Kyle breaks down the different ways businesses will either struggle to adapt or completely rearchitect themselves around AI-native principles. By the end, he demonstrates how a single musical motif can scale into an entire franchise within the most advanced economic lanes.
#AI,#futureofwork,#Suno,#creativity,#automation,#AIagents,#KyleShannon,#innovation
Chapters:
00:00:00 Opening Musical Performance
00:04:06 Hallelujah Cover Song
00:07:29 Waitress Cover Song
00:09:39 Welcome AI Learning Lab
00:14:16 Suno Upload Struggles
00:15:40 Creating AI Instrumentals
00:20:46 Future AI Predictions
00:23:04 Current AI Landscape
00:27:22 Agent Led Companies
00:29:19 Business Category Spectrum
00:33:38 Three Economies Concept
00:36:52 Seven Economies Theory
00:40:43 Analog Blueberry Economy
00:43:54 Writing Economic Articles
00:46:24 AI Generation Results
00:53:22 Film Score Potential
00:58:51 Collective AI Intelligence
01:05:26 Lane Seven Possibilities
01:14:04 Telegram Bot Advice
01:20:27 Software Design Frustrations
01:25:12 Economy Comparison Demo
01:31:04 Theme Song Creation
01:41:01 Suno Version History
01:44:22 Final Song Performance
01:48:54 Human Bottleneck Theory
Chapters
0:00Opening Musical Performance4:06Hallelujah Cover Song7:29Waitress Cover Song9:39Welcome AI Learning Lab14:16Suno Upload Struggles15:40Creating AI Instrumentals20:46Future AI Predictions23:04Current AI Landscape27:22Agent Led Companies29:19Business Category Spectrum33:38Three Economies Concept36:52Seven Economies Theory40:43Analog Blueberry Economy43:54Writing Economic Articles46:24AI Generation Results53:22Film Score Potential58:51Collective AI Intelligence1:05:26Lane Seven Possibilities1:14:04Telegram Bot Advice1:20:27Software Design Frustrations1:25:12Economy Comparison Demo1:31:04Theme Song Creation1:41:01Suno Version History1:44:22Final Song Performance1:48:54Human Bottleneck Theory
Transcript
0:10 [music] 0:25 Woohoo! 0:29 Ah! 0:31 >> [crying] 0:34 >> Well, every time I say it now, [music] 0:38 get that look in mine. 0:42 Every time I see your mouth, 0:46 hear that smile. 0:49 Early misty morning, I heard [music] the 0:53 engine [singing] 0:56 fall inside. [music] 1:04 You leave it [music] 1:07 again today. 1:11 You convince [singing] me [music] 1:14 again today. 1:17 Leaving this hard time [singing] 1:19 looking for someone else's golden ring. 1:23 [singing] 1:27 to Jose. 1:29 So long Suzanna, 1:37 [singing and music] 1:42 [music] 1:45 [singing] 1:49 don't you cry for me. 1:53 [music] 2:00 Changing the cigarettes and keeping home 2:03 out on the road. [music] 2:06 Chasing down [singing] the lifestyle out 2:09 on Highway 24. 2:12 New York State was a rolling breeze 2:15 [singing and music] and the sunshine 2:16 with a blue sky falling to the chill of 2:20 all September creeping in. 2:25 >> [music] 2:27 >> You [singing] were leaving me 2:30 again today. 2:33 [music] 2:33 You were convinced me [singing] 2:36 again today. [music] 2:40 You're leaving this hard time looking 2:42 for [music] someone else's [singing] 2:44 golden ring. 2:49 I say [singing] 2:51 so long Suz. Santa [music] 2:58 not [singing] to cry. [music] 3:03 So long she's [singing] 3:10 Don't [music] you cry for me. 3:27 >> [music] 3:32 >> What do you think, champ? 3:35 [music] 3:53 >> [music] 4:03 [music] 4:06 >> Well, I heard there was a seed [music] 4:12 in a Peace of [singing] love. 4:15 You don't really care for music, do you? 4:22 It goes like [singing and music] this. 4:24 The fourth, the fifth man fall 4:30 king [singing] 4:31 composing. 4:33 Hallelujah. 4:37 Hallelujah. [music] 4:40 Hallelujah. [singing] 4:44 Hallelujah. 4:46 [music] 4:47 Hallelujah. 4:49 [singing] 4:53 [music] 4:58 Your face is strong, but you 4:59 [singing and music] need proof. 5:02 Saw a lady on a roof. A beauty. 5:05 [singing] 5:06 [music] Beauty. Beauty. And the 5:09 moonlight over through you. 5:13 She tied you, tied you to the kitchen 5:17 chair. [singing] She smashed your throne 5:19 and cut your head from your lips. She 5:23 drew [singing] 5:24 Hallelujah. 5:27 Hallelujah. 5:31 Hallelujah. 5:34 Hallelujah. 5:37 [singing] 5:37 Hallelujah. 5:43 Your pup can sing more than two notes. 5:45 More than one note. He can. That's a 5:47 good old singing dog, isn't it? 5:51 [music] 6:02 [music] 6:13 >> [music] 6:19 [music] 6:26 [music] 6:31 >> Yeah. Oh, [music] 6:37 [music] 6:43 [music] 6:48 [music] 6:53 [laughter] 6:55 producer Brandon coming in a little hot. 6:57 Little hot and late. [laughter] 7:00 Alarm alarm clock woes. 7:03 [laughter] 7:04 Really enjoying the music. Thank you, 7:05 Lori. 7:09 Yeah, I'm just in a musicy mode tonight. 7:17 [music] 7:27 >> [music] 7:30 >> It's not simple to say 7:34 the most days. [singing and music] 7:37 I don't recognize me that these shoes 7:40 had the 7:43 place and its patrons 7:46 have [music] taken more than I gave 7:48 them. 7:51 It's not [singing] easy to know 7:55 I'm not anything 7:57 like I used to be. Although it's true, I 8:01 was never attention sweet center. I 8:06 still remember that girl. 8:09 She's imperfect, [music and singing] 8:12 but she tries. 8:14 [music] She is good, 8:17 but she lies. She is [music and singing] 8:20 hard on herself. 8:23 She [singing] is broken and won't ask 8:26 [music] for help. 8:28 She [singing] is messy, but she's kind. 8:33 She's lonely 8:35 most of the [singing] time. She is all 8:38 of this up and baked baked beautiful 8:44 pie. 8:45 [music] She's [singing] gone, but she 8:47 used to be mine. [music] 9:14 >> [music] 9:26 [music] 9:28 [crying] 9:31 [music] 9:36 [music] 9:40 >> Happy Wednesday. Welcome to the AI 9:42 learning lab. [music] 9:49 We had a good AI readiness project 9:51 podcast today. If you're new here and 9:54 you're wondering, does he always wear 9:56 sunglasses like this? [laughter] 10:01 No, 10:13 I have an at an absolute loss for words 10:18 lately. 10:20 [music] 10:25 >> [music] 10:31 [music] 10:36 [music] 10:43 [music] 10:54 [music] 11:00 [music] 11:03 >> Now, I've had this microphone for a 11:04 while. 11:06 I've had this for three months, 11:08 something like that. [music] 11:17 [music] 11:32 >> [music] 11:40 [music] 11:47 [music] 11:53 [music] 11:58 [music] 12:02 [music] 12:09 [music] 12:22 >> Um, 12:25 that's going to turn into something. 12:48 God damn that thing. 12:57 [music] 13:04 >> [music] 13:18 [music] 13:32 [music] 13:37 [music] 13:43 [music] 13:51 [music] 13:57 [music] 14:05 >> All right, that's something. 14:08 What's that going to turn into? Upload 14:10 failed. Can't fetch the uploaded audio. 14:13 Awesome. 14:16 After that virtuoso performance, I got 14:18 to recreate that. Seriously. Seriously, 14:21 Sunno, 14:24 some geeks out there going, "You might 14:26 want to consider restarting your browser 14:28 once every more than a month." 14:30 [laughter] 14:34 [music] 14:35 Wait. Oh [ __ ] I don't even remember 14:36 what I was playing. 14:38 [music and singing] There it is. 14:57 >> [music] 15:05 [music] 15:10 [music] 15:16 [music] 15:25 >> Save. Oh, I should have wait. Ah, [ __ ] 15:29 Can I 15:32 I should have trimmed the beginning of 15:34 that, shouldn't I? 15:37 Oh well, let's just see what it does. 15:39 All right, 15:41 let's make an instrument. Do we want an 15:42 instrumental? 15:52 Hm. [clears throat] 15:57 Minimalist. 16:03 Minimalist. 16:07 Classical 16:09 guitar. 16:12 Cello. 16:14 Haunting cello. 16:19 Let's do instrumental. We're going to do 16:20 instrumental. 16:22 Where do I choose that? Uh, 16:24 [clears throat] where do I choose that 16:29 lyrics? 16:36 What am I missing? What am I missing? 16:40 Simple. Do I have to go to simple 16:42 instrumental apparently? All right, here 16:45 you go. 16:47 It's also really hard to see with 16:48 sunglasses on. [laughter] 16:52 You know what you could perhaps do is 16:54 take those sunglasses off there. Oh, 16:57 wait. I can't do Well, we just won't put 16:59 any lyrics in there. All right. 17:05 Oh, black bar. Yep. Yep. Yep. Yep. Yep. 17:07 Yep. Yep. Yep. Yep. Yep. Yep. Yep. Yep. 17:09 Yep. Yep. Yep. Yep. Yep. Yep. Yep. Yep. 17:12 Please don't change it too much. Oh, 17:14 okay. So, what we'll do, so minimalist 17:17 classical guitar, haunting cello. You 17:19 liked it, huh? That's cool. Um, 17:24 what do we want? Um, 17:28 oh, let's see. Um, 17:34 see, um, coral 17:39 harmonies 17:43 as chords. 17:45 Yeah, that's good. 17:48 And then we're going to go advanced 17:49 options. 17:52 We're going to go weirdness low. 17:58 Oh, do I have to re-record? 18:00 I have to re-record. 18:03 God damn it. 18:09 [music] 18:12 All right, here we go. 18:18 >> [music] 18:24 [music] 18:35 [music] 18:39 [music] 18:45 [music] 18:53 >> Okay. 18:54 Save. Upload failed. God damn it. 18:58 Really? 19:00 I tried to upload a video to to X last 19:04 night 19:06 50 times. All right, I'm exaggerating. 19:09 25 times. [snorts] 19:12 [sighs] 19:14 Thanks, Xfinity. You're the best. 19:19 [cough and clears throat] 19:20 [music] 19:29 >> [music] 19:40 [music] 19:46 [music] 19:51 [music] 20:00 >> save. 20:04 [sighs] 20:08 [laughter] 20:11 [sighs] 20:14 We're going to create a new tab. I'm 20:15 going to share the new tab. 20:19 >> [sighs] 20:23 >> producer Brandon. I got nothing here. 20:26 [laughter] 20:29 [sighs] 20:30 [gasps] 20:33 So, 20:40 here's what I really think. I I think 20:41 there so much is 20:44 so much is about to get so weird in AI. 20:47 Here here's my honest to God's take. 20:52 And here's the thing. 20:55 I have one of my skills, one of my 20:58 superpowers 21:00 is I can see the future pretty good. I 21:03 can look at 21:05 limited amounts of information and see 21:08 what the future looks like. 21:11 Shit's about to get weird. 21:14 Tik Tok pin. 21:16 Love it. Kyle in Rockstar with the with 21:20 the shades. Rockstar mode. Yeah. Yeah, 21:23 I'm in Rockstar mode, man. Um, but I've 21:27 got to get Suno to actually not [ __ ] the 21:30 bed on me. But here's what I do think is 21:34 going on. 21:36 Shit's about to get so weird. Oh, I do 21:38 have this recorded. 21:42 [music] 21:44 That's a bad one. Okay. Black bar. I did 21:46 black bar. I'm embracing the weirdness. 21:49 There's a solid market for the AI ready. 21:53 Yeah, I think there is, Mimi. And 21:55 embrace the weirdness. And here here's 21:56 what I would say. Shit's about to get 21:58 really weird. And I don't Here's what I 22:01 don't know. 22:03 What I don't know is it gonna is it 22:04 going to get weird in two months or a 22:08 year? 22:10 I think it's closer to two months than a 22:11 year, but it could be six, right? It 22:13 could be like mid to end of summer. So, 22:16 just shit's going to get weird. What 22:18 Weird's going to look like is autonomous 22:20 agents are going to get way better, way 22:22 easier to use, 22:26 way more powerful, 22:35 and that's actually going to create a 22:37 splinter economy 22:39 is almost how I'm seeing it. 22:46 And then there's going to be the AI that 22:48 we currently have today. 22:51 You know, prompt a thing, get a result, 22:53 put in some music, get out some music. 22:57 And most people are going to be 23:00 blissfully ignorant that AI is here. 23:04 or they're going to be 23:07 thinking that 23:09 AI as we have it today, the AI that 23:12 we've been playing with for the past 23:14 three years, it's just been getting 23:15 better, but it's the same [ __ ] 23:20 Like, people that 23:23 stay in this mode are going to be the 23:25 bridge to people that are not in AI 23:27 right now. And then there's going to be 23:29 this other thing 23:31 and it's moving really fast. 23:42 And it's not going to look like anything 23:43 we've ever seen before. 23:47 And it's going to be really hard to know 23:49 what to do. 23:52 So my instinct is 23:55 if you want to get on the fast train, 23:58 just be prepared to be in a surreal 24:02 state. 24:04 It's not like, oh, I don't really know 24:06 how to use AI. How do you do prompting? 24:08 Like all of the all of the [ __ ] that 24:10 we've done to get to this point, 24:13 that's good, but this is a completely 24:16 different thing 24:17 and it's not going to feel as familiar. 24:20 And the skills to be good at it are not 24:22 gonna it's going to be hard to know 24:23 what's what's good at it. Remember we 24:26 talked about AI coming like a tsunami. 24:29 We're riding the huge wall of water. 24:32 [music] 24:36 Well, it's almost like 24:38 it's it's almost like there's a tsunami 24:40 coming at us, but then there's a second 24:42 tsunami coming sideways 24:44 [laughter] 24:46 and it's faster. Like this tsunami is 24:48 coming in slow and it's going to just 24:51 crash over things. But there's one 24:52 coming this way and it's faster. 24:57 But like what I was going to say is that 24:58 my instinct is just play. Just for the 25:01 next three months, just like make songs, 25:04 make pretty pictures, just [ __ ] dick 25:06 around. If you got to spin [ __ ] up for 25:08 work, spin [ __ ] up for work. 25:11 But but enjoy it because I think it's 25:13 going to get weird. So anyway, that's 25:16 what I'm choosing to do tonight because 25:19 I was going to go play with Perplexity 25:21 Computer and I actually put a prompt in 25:23 before we went on line so we can go see 25:25 what it did. 25:27 But then I'm just sitting here cranky as 25:30 [ __ ] 25:31 [music] 25:34 and I'm like, let me just go make music. 25:37 [laughter] 25:39 [music] 25:39 All right, here we go. 25:48 >> [music] 25:56 [music] 26:07 [music] 26:11 [music] 26:13 >> Ah, 26:15 [laughter] 26:16 it was so good until my fingers got in 26:18 the way. It actually wasn't all that 26:21 good. That's okay. [clears throat] 26:24 [music] 26:36 >> [music] 26:36 >> You know what's the [ __ ] up thing 26:38 about doing an arpeggio is the minute 26:40 you get your head This is like life. The 26:42 minute you get in your head about it, 26:44 it's over. You can't do it. [laughter] 26:47 God damn it. Okay. 26:50 Gotta I got to be in the flow, man. Hey, 26:53 man. Hey, man. You know, man, 26:57 what's up, man? 27:03 So, what does weird look like, Kyle? 27:09 So, 27:11 what what struck me today in the in the 27:13 middle of the podcast, 27:16 Kelly, was 27:22 what people are starting to do with Open 27:24 Claw. And I haven't gotten there yet. 27:26 I've made my Adam and then I'm I've kind 27:29 of neglected him and he's kind of broken 27:30 right now. So, he's not great. 27:33 And I'm and I'm also part of the reason 27:35 I'm not really pushing hard on Adam is 27:37 like I haven't quite figured out if I'm 27:40 going to run a local large language 27:42 model or if I'm going to do external 27:44 calls. And if I do external calls that 27:45 gets really expensive. So, I've just 27:47 been [ __ ] around and 27:49 I've just I'm not in a great place with 27:52 it. He's fine but he's not working. 27:56 But what people are what people are 27:58 starting to do that have been using 27:59 OpenClaw for three weeks, a month, six 28:01 weeks 28:06 is they're starting to spin up 8, 10, 28:08 and 12 person companies, 28:11 not person, 8, 10, and 12 agent 28:14 companies. 28:18 They're starting businesses 28:21 as like a single person with a single 28:23 Mac Mini or like three Mac Studios and a 28:27 Nvidia box. 28:31 Adam's going to need to go fill out the 28:33 great repurpose. Yeah, exactly. If he 28:35 doesn't get his [ __ ] together, like 28:37 Adam's got to get his [ __ ] together, 28:40 which means Daddy Dearest got to get his 28:42 [ __ ] together. 28:47 And so what what struck me what struck 28:50 me, Kelly, is okay, 28:55 we've got all the businesses here, let 28:58 me take these off because we're not 29:00 recording music right now. And let me 29:01 talk so I can actually see the screen. 29:04 Oh Jesus, these are dirty. 29:07 Um, 29:12 we've got businesses 29:16 today in two broad categories. 29:19 Businesses that are pretending AI is not 29:22 here. 29:27 Their management doesn't give a [ __ ] 29:29 about it. Their employees are either 29:31 using it or not. It It almost doesn't 29:34 matter. 29:37 Then you've got companies that are like, 29:40 "Oh [ __ ] we got to get going on AI. 29:43 Hey, that that Kelly Camp woman, she 29:47 talked to us. She scared the [ __ ] out of 29:48 me that day, but call her up. 29:52 Get get her in here. I want to know what 29:54 this AI stuff is." Right? There's that 29:56 category. And Kelly, you work with both 29:58 both of them, right? 30:03 And the second category 30:13 are in a world of hurt unless they get 30:15 the right people in to help them. 30:19 If who they get in to help them are 30:21 people that are just like, I'm going to 30:23 make an automation. I'm going to take 30:24 your existing [ __ ] your existing 30:26 processes, and I'm going to automate 30:28 them. I'm just going to make you more 30:30 efficient. 30:35 that may stave off the change, 30:39 but it's it's just it's like a temporary 30:43 it's like a temporary band-aid. It's not 30:45 stitches. It's like a [laughter] 30:47 butterfly. It's like a butterfly 30:49 band-aid instead of stitches. 30:55 If they're lucky, if the if the 30:57 companies in that in that second 30:59 category that are curious about AI, if 31:01 they're lucky enough to get someone like 31:02 Kelly Camp or Lori Ryan or people in 31:05 this community that actually have have 31:08 their heads on and understand what's 31:10 coming, 31:16 those consultants are going to come in 31:18 and say, "Hey, we'll do what we can to 31:20 automate your existing stuff here, but 31:23 there's entirely new things possible. we 31:25 should probably explore, 31:27 right? So, those that's going to be 31:29 legacy business and that's probably 31:32 going to take those businesses three to 31:35 five years to figure out what the [ __ ] 31:37 is happening. So, they're just going to 31:40 keep going at kind of the pace they're 31:42 going with with incremental 31:44 improvements. And if they're lucky, 31:45 they'll get some dramatic improvements. 31:49 Then you're going to have companies like 31:52 what it looks like Jack Dorsey is doing 31:54 with Block 31:57 where he's recognizing that AI amplified 32:00 employees in small pods 32:03 working efficiently together are going 32:06 to transform how business is done. Or 32:09 even even more nimble than that are 32:11 companies of laidoff employees that get 32:15 together two, three, five people 32:19 go all in on AI and go after their old 32:21 sector. And so there's going to be all 32:23 these competitors coming at the old 32:25 company. So you're going to have dead 32:27 companies that are just committed to 32:29 death. Then you're going to have 32:31 companies that realize something needs 32:33 to change and they're just going to do 32:35 business as usual a little bit faster. 32:38 Then you're going to have companies that 32:39 sort of get it and are trying to make 32:41 the transition and some of them will. 32:44 Then you're going to have companies that 32:45 recognize there's a new game and then 32:48 you're going to have new AI native 32:50 companies with human beings driving the 32:52 business. So that's five categories of 32:54 businesses. It's a spectrum, right? 33:01 This new lane 33:04 is none of that. [clears throat] 33:08 This new lane is one person having a 20 33:11 person company where they invest 25 or 33:15 $30,000 once 33:18 for a bank of two or three computers 33:21 and they're smart and clever enough to 33:23 figure out what are the virtual 33:25 employees that they need in what 33:27 combination with what orchestrator to 33:30 just go [ __ ] do a business. 33:37 So, it feels to me like there's going to 33:39 be 33:41 three economies. 33:43 There's going to be this ever ever 33:46 screeching to a halt slow economy, the 33:48 old economy. 33:51 There's going to be this toward the 33:53 right 33:54 right middle 33:57 companies that are actually moving at 33:58 the speed of AI, but they're moving at 34:00 the speed of AI as we have it today. And 34:02 then you're just going to have this 34:03 fundamentally alien thing 34:10 where where one or two people 34:13 are going to spin up 34:16 10 computer 34:18 a desk with 10 Mac studios on it. One 34:21 desk, 10 Mac studios that are going to 34:25 do $100 million a year. 34:28 And it's I and I like it if what it 34:30 feels like to me, Kelly, it's going to 34:31 be an actual separate economy. 34:37 It's going to have its own rules. 34:40 The agents are going to start 34:41 interacting with one another and trading 34:43 with one another. 34:47 There was that story last week about the 34:49 the I think it was like a group of 34:52 people on Reddit 34:54 that they gave access they they gave 34:56 their agent like a hundred bucks or 34:58 a,000 bucks and then access to that 35:01 gambling site 35:04 and they said you're costing us too much 35:06 money. So here's a thousand bucks. Go to 35:07 this gambling site and earn enough money 35:10 to pay for your your token use. And the 35:14 agents went off and did it. [laughter] 35:20 Like that's just [ __ ] weird, right? 35:26 I could be wrong, but I think it's I 35:29 think there's going to be this six track 35:30 economy and then there's going to be a 35:32 seventh track. 35:35 I got to write this up. Someone should 35:37 be recording this. 35:40 So screeching to a halt companies 35:45 companies using AI to just make their 35:48 existing ship more efficient. So they're 35:50 going to they're going to be slowing to 35:52 a halt. There's screeching to a halt is 35:54 no AI. Slowing to a halt [laughter] 35:56 is I'm using AI, but I'm using it in a 35:59 in a limited way. 36:02 The middle one is going to be I'm doing 36:05 new things with AI and I'm transitioning 36:07 my company. So, they're going to be like 36:09 almost coming to a stop and maybe still 36:12 going. 36:14 Then there's going to be 36:20 bigger established companies that 36:22 recognize they have to fundamentally 36:24 rearchitect their business. They're 36:26 going to keep a lot of their employees. 36:28 They're going to completely revamp their 36:30 jobs, their roles, how teams work, 36:33 business workflows, things like that. 36:35 Then there's going to be AI native 36:36 companies. So those are the five and 36:39 then there's going to be the six lane 36:42 single person 36:45 massively AI amplified businesses 36:52 and then I don't know what the seventh 36:53 lane is but the seventh lane is going to 36:54 be whatever comes next. It might be 36:57 world models and world models plus 36:59 compute equal some sort of like single 37:04 person entertainment studios. Like there 37:07 like that could be a whole another 37:08 economy. 37:10 [laughter] 37:11 [ __ ] 37:16 Seven economies. 37:22 There's going to be seven economies 37:24 in the next year. 37:36 Hello, Hollywood Kyle. [laughter] 37:40 [gasps] 37:42 Oh my god. 37:45 What are y'all saying? He said it here 37:47 first, folks. 37:49 Went to a house app demo tonight. The 37:51 designers there were totally clueless. I 37:54 want to be in that sixth lane. The sixth 37:56 lane is going to be a blast. 37:58 I And I And quite frankly, I think the 38:00 seventh lane is going to be a blast. But 38:02 it's in order to be in the seventh lane. 38:05 I'll tell you what, 38:08 if you are not a technologist, if if 38:10 you're a polymath or a creative or a 38:15 liberal arts 38:18 add junkie, adrenaline junkie, 38:23 the seventh economy is going to be 38:25 fascinating. It's going to be fun, 38:28 but you're going to have to think really 38:30 different. Like like if you're going to 38:32 be in that seventh lane, 38:34 you're going to be [ __ ] exhausted 38:36 because you're not only going to be 38:38 having to figure out the technology, 38:40 you're going to have you're going to 38:41 have to be figuring out the 38:43 psychological 38:45 profiles of your bots and how you want 38:47 them to work together. It's just it's a 38:50 it's just a [ __ ] new it's like a 38:52 whole new way of thinking. The sixth 38:55 lane is going to be fun because the 38:56 sixth lane is just going to be we're 38:58 going to come up with some idea. We're 39:00 going to use AI. We're just going to go 39:01 all in on AI. We're going to completely 39:03 rearchitect the business we just came 39:06 from. Right? One of the first three or 39:09 four lanes. You're going to just jump 39:11 over to the side and go, "Fuck it. We're 39:13 going to completely reimagine an agency. 39:15 We're going to completely reim imagine a 39:18 sales organization. 39:19 Those companies are going to be a blast. 39:26 Seven economies. Seven. Six. Six 39:29 economies, seventh one coming that we 39:32 don't know what it is. Six economies and 39:35 I think it's going to be 39:46 it's going to feel like three economies. 39:47 It's going to feel like old businesses 39:49 that are either struggling or trying to 39:51 keep up. 39:54 Then it's going to be established 39:56 businesses that have realized they've 39:57 got to completely alter themselves and 39:59 and so that'll feel like a whole 40:01 separate thing. 40:08 Then there's going to be 40:10 AI native companies and then there's 40:13 going to be this other thing these 40:14 agentic 40:17 crazy ass things that doesn't even 40:19 include cottage economies. Yeah, that's 40:22 correct. That's that's the other thing. 40:23 I'm just talking about um 40:27 economies that are affected directly by 40:29 technology, knowledge work, things like 40:31 that. If you're talking now about 40:33 offline industries, cottage industries, 40:36 food, entertainment, you know, in-person 40:39 meetings, all that sort of stuff, that's 40:40 going to feel like a whole separate 40:42 economy. So maybe it is seven. Maybe 40:44 it's analog [ __ ] [ __ ] it. We're 40:47 checking out of technology. I'm going to 40:48 go sell blueberries. Yeah, that's it. 40:51 [clears throat] That's that's it. 40:54 [laughter] 40:54 On the two ends are things that feel 40:59 1870s familiar and then things that feel 41:02 completely not familiar, surreal and 41:04 alien and then there's going to be this 41:06 spectrum in between. So it is seven 41:08 economies. Seven economies felt felt 41:11 more right. 41:13 lady today said a nice young man to help 41:18 in line turned out to be AI. 41:21 Oh, on help on on the helpline turned 41:24 out to be AI. She did a literal Kevin 41:26 Mallister move. 41:29 [laughter] 41:31 [music] 41:32 All right, we going to do this song or 41:33 not? 41:35 Okay, 41:39 that was a rabbit hole. 41:42 >> [music] 41:51 >> Thank you, Brandon. 41:59 [music] 42:06 [music] 42:14 >> [music] 42:22 >> We got a cool harmonic in there on that 42:23 one. We going to save or we going to 42:26 [ __ ] the bed? 42:28 Oh no, we're [ __ ] the bed. 42:31 Please upload. Please 42:36 continue. 42:38 >> [gasps] 42:39 >> Oh, it uploaded. Okay, good. Did it? 42:43 Yes, it did. Okay. Instrumental. 42:46 And then what did I say before? I said 42:50 minimalist 42:53 classical 42:55 guitar 42:57 cello. Uh, haunting cello 43:03 and then 43:06 coral 43:08 harmonies 43:10 as chords, 43:14 right? Yeah. And then we're going to go 43:17 advanced options. 43:20 We're going to go audio influence is 43:22 high. We'll do it at 65. We'll do style 43:24 influence is fine at 50. We'll do 43:26 weirdness low. 43:29 And what are we going to name it? 43:33 We're going to name it. 43:38 We're going to name it um 43:45 the weirdness. 43:55 Hey, Brandon, do me a favor. Just send 43:57 me a note to go grab the transcript of 44:01 this because I want to write an article 44:03 about the seven economies. What I what 44:05 I'm excited about is writing an article 44:08 about the the seven economies [laughter] 44:11 and then have people that actually know 44:14 economics blast me a new [ __ ] 44:17 [laughter] 44:19 Yeah, Mr. Shannon, that's not exactly 44:22 how it's going to go. You understand? 44:24 So, one of the things that you're 44:25 missing here here is the the capital 44:27 expenditures in the in the uh in the 44:29 investment market, the venture markets. 44:35 [sighs] 44:37 I'm just trying to explain how it's 44:39 Kelly asked what it's going to look like 44:42 and I said it's going to be weird and I 44:44 don't know what weird is. So, I'm trying 44:45 to figure out what weird is before the 44:47 weird happens. 44:51 But if you know there's seven economies, 44:53 you can pick one. 44:55 I'd like to be in a in a quickly dying 44:58 sector. Okay, that's lane two. 45:01 Uh 45:03 I hate AI. Can I get out? Yep, there's 45:06 the blueberry farm. Lane one. [laughter] 45:13 The seventh economy symphony. Silver Fox 45:17 always coming. We're going to go seventh 45:19 with a seven. Seventh economy. No, seven 45:23 economy. 45:25 Seven economy. S Eve ven economy 45:29 symphony. Yeah. Economy symphony. 45:35 That's good. All right. Here we go. So, 45:38 we've got the weirdness and we've got 45:40 seventh economy. Seven economy symphony. 45:53 >> [music] 46:12 [music] 46:21 [music] 46:24 >> This is cool. 46:26 [music] 46:38 >> [music] 46:44 >> So, I think I need to make it a little 46:46 bit less audio influence because my 46:48 guitar playing sucks enough that Let's 46:51 drop that to 40. We'll go style 46:53 influence a little higher. 46:56 We'll bump up weirdness a little bit. 46:59 Let's see what the Let's see what the 47:00 other ones sound like. 47:02 [music] 47:10 >> [music] 47:16 [music] 47:19 >> You know what's about this? Well, let me 47:22 let me tell you how I'm justifying my 47:24 lack of rhythm. [laughter] 47:27 The fact that I I'm not using the 47:29 metronome and I can't keep a beat. It's 47:31 slowing down and speeding up. And then I 47:33 purposely did the the decrescrescendo 47:36 and crescendo the the the dynamics, 47:40 but it's like the tempo is all over the 47:43 place, but there's something really cool 47:44 and analog about it. It doesn't sound 47:46 like it doesn't sound like uh you know 47:49 computer generated 47:53 [music] 48:05 It's a little too painful. 48:08 >> All right, we got to We're going to have 48:09 to go to the new the new versions. Are 48:11 these the new ones? 48:14 Create. 48:18 All right, there they come. 48:19 [clears throat] 48:22 [music] 48:29 >> [music] 48:40 [music] 48:45 [music] 48:54 >> That's it. 48:58 [music] 49:07 [music] 49:17 >> [music] 49:25 >> This is cool. 49:31 [music] 49:38 [music] 49:38 Oh. 49:44 Oh. 50:00 [music] 50:04 Okay. Can I just say 50:11 Like all my life, 50:16 I mean, since I was introduced to him, 50:19 I've been like a Philip Glass and 50:21 Jeffrey Reio fan. 50:25 And I always resisted making that kind 50:28 of music because 50:30 while it sounds simple, 50:34 like it requires a level of knowledge 50:36 about music that I just don't have and I 50:39 don't and I didn't really have an 50:40 interest to learn. And it and it 50:42 requires you to have access to things 50:44 like [ __ ] orchestras 50:46 to make it sound good and and and 50:50 choruses 50:53 and like we can just do this now. 50:57 It's [ __ ] insane. 51:03 [music] 51:13 Does anyone remember the first song we 51:15 made here on the live? 51:18 The very first one. 51:21 It It had to be something stupid, right? 51:26 No, this isn't Chariots of Fire. This is 51:28 more like Clean Scotsy or Songs from 51:30 Liquid Days. Um, 51:35 Vanelis. Yeah, this is this is Van 51:37 Jealousy. Um, 51:40 I don't remember. Do you remember it, 51:41 Kelly? 51:43 [music] 51:49 No. Weird Mary, Steo. Weird Mary was the 51:52 first song we did on this channel. Oh, 51:54 you know, 51:57 you know what was one of the really 51:58 early ones, Source Camp, is um 52:02 I was just teaching how to use Suno. I 52:05 think I was doing stupid Oh, you know 52:06 what? You know what the early songs 52:08 were? A lot of the early songs were um 52:11 Sydney prompts like write a prompt about 52:13 a chatbot that's more or like a lover 52:15 that's more artificial than real. I was 52:18 doing that one night. One of the early 52:20 songs was when Jim Ross um 52:25 you know made a song and sent it to his 52:27 clients. That was fairly early on. 52:29 Wouldn't it be in your history? Oh, it 52:31 would. I'd have to go back to the 52:33 beginning though. And we're listening to 52:35 we're listening to sexy sexy songs. 52:38 Let's listen to sexy. 52:46 [music] 52:47 All right. So, that's that one. So, the 52:49 next two should be similar. And then the 52:52 next two after that are the ones that I 52:53 added full orchestra. I think that was 52:56 Silver Fox's 53:00 [music] Actually, 53:08 it's cool that it got those swells in 53:09 it. 53:13 [music] 53:19 [music] 53:23 >> Oh, tell me this doesn't sound like a 53:25 film score. 53:29 Hurry. 53:34 [laughter] 53:37 [music] 53:40 Heat. Heat. 53:44 [music] 54:04 >> [music] 54:12 [music] 54:20 >> It works. 54:28 [music] 54:29 >> [singing] 54:36 [music] 54:46 [music] 54:51 [music] 54:59 [music] 55:14 [music] 55:23 >> Wow. That was pretty [ __ ] good. All 55:26 right, so three more. 55:37 [music] 55:43 [music] 55:49 >> [singing and music] 55:58 >> I don't like it. [music] 56:04 It's the one we did full orchestra. 56:07 [music] 56:14 [music] 56:20 [music] 56:24 Yeah. 56:27 [music] 56:33 [music] 56:40 [music] 56:49 [music] 56:51 Yeah. 56:55 >> [music] 56:59 >> It's cool. 57:03 [music] 57:08 [music] 57:14 [music] 57:20 Where are [music] you? 57:25 [music] 57:34 [music] 57:54 >> [music] 58:01 [music] 58:17 >> Now, these aren't as good. I think it's 58:19 this one. [music] 58:28 >> [music] 58:32 [music] 58:39 >> Yeah, Fabian, I I still feel shocked at 58:43 how amazing it can be. 58:44 >> I know. I know. This is okay. So, so 58:49 Sunno is a really good example here. 58:52 I'll take my glasses off. Well, you can 58:54 leave the the screen up. 58:58 Sunno is a really good example of 59:02 you can just squirt out shitty songs. 59:08 You can create songs that you didn't 59:10 have any input in. maybe lyrics or maybe 59:14 ideas, but but no no musical input, 59:19 but if but if they're something that 59:21 means something to you, you can create 59:23 really good music that way. But this is 59:26 I mean, you heard how simple what I was 59:28 playing was, right? 59:30 [music] 59:36 like 59:39 I don't have the musical vocabulary 59:45 or skills. But but like even if I you 59:47 know even if I had the technical skills 59:50 I don't have the music vocabulary 59:55 to understand what that motif could live 59:58 into. 1:00:01 But this has been trained on all the 1:00:03 music. So it can read that pattern. It 1:00:06 can understand that pattern and go, "Oh, 1:00:08 that's like these 1:00:10 160,000 1:00:12 motifs." 1:00:14 And all of those had these other things 1:00:17 with it that sounded like this. 1:00:21 [music] 1:00:28 >> [music] 1:00:31 [singing] 1:00:33 [music] 1:00:44 >> that cello coming in. Come on. 1:00:53 What I was going to say is this does it 1:00:56 for music, but this is AI. 1:01:00 AI is we get to take little ideas, 1:01:03 little fragments of ideas, 1:01:07 and because AI has been trained on 1:01:11 the collective intelligence 1:01:14 of tons of people that came before us. 1:01:19 We can take that little fragment of an 1:01:21 idea, throw it into the machine and get 1:01:23 it reflected back to us in this 1:01:26 augmented, insane, insanely elevated 1:01:30 way. 1:01:32 And then we get to just pluck that [ __ ] 1:01:34 out of the ether and go, I like that 1:01:35 one. And then we can put that back into 1:01:38 the machine, have that reflected out. 1:01:40 Oh, I like that one. 1:01:43 Pudo is just a metaphor for every single 1:01:46 tool. 1:01:49 for the whole process. 1:01:53 How good are you at guitar? Uh, 1:01:56 I can do this. 1:02:02 Is that good? Yeah. Yeah, we got it. We 1:02:05 don't That's all we need from you. 1:02:06 Thanks. 1:02:09 See you next Tuesday. Okay. 1:02:13 [laughter] 1:02:19 >> [laughter] 1:02:25 [music] 1:02:30 [music] 1:02:30 >> Oh yes, Silver Fox. I remember those. 1:02:33 The old Disney Rain videos. Drops going 1:02:35 from pedal to pedal and it sounded like 1:02:38 this. 1:02:45 >> [music] 1:02:53 >> I got it. I got it. I got I got another 1:02:55 thing. Here's another thing, source cam, 1:02:58 about how weird it's going to get. 1:03:01 Okay, right now tonight. 1:03:05 We discovered that there's seven 1:03:07 economies. 1:03:11 Is he an economist? Uh, 1:03:15 I'm pretty sure he's an out of work 1:03:16 actor. 1:03:19 Okay. Anyway, we discovered that. 1:03:26 Here's how this is going to get weird. 1:03:35 We'll call the ones on the left the slow 1:03:37 economies. 1:03:39 We'll call the ones in the middle the 1:03:44 the fast economies. 1:03:46 We'll call lanes six and seven like the 1:03:49 the superighway and the bullet train or 1:03:52 something like that, right? We'll we'll 1:03:54 figure out the metaphors. 1:03:57 The fast economies, the ones that are 1:03:59 kind of in the middle right to the 1:04:01 middle to the right. So if you go 1:04:04 blueberries screeching to a halt, 1:04:07 slowing to a halt. So it's one, two, 1:04:10 three. So So lanes four and five. Yeah, 1:04:15 lanes four and five are kind of like 1:04:17 Sunno is right now, 1:04:20 right? You take a little snippet of an 1:04:22 idea, you put it in the machine, 1:04:25 a thousand different ideas get bolted 1:04:28 onto it and elevate it to some new 1:04:30 level. 1:04:37 lane six economy. The the metaphor with 1:04:41 Suno would be in lane six, not only 1:04:45 would you have 1:04:47 this song created, but you would have 1:04:50 some company that would take this song 1:04:53 and turn it into a symphony, 1:04:57 a full symphony, fully orchestrated with 1:05:00 sheet music with all of the parts 1:05:03 played, fully mixed. You release an 1:05:06 album. So you so in the in the middle 1:05:09 economies, you start with a little 1:05:11 guitar lick and you end up with a song. 1:05:13 In the fast economies, you end up with a 1:05:15 full symphony recorded and and published 1:05:20 to Spotify. 1:05:21 In lane seven. [laughter] 1:05:26 In lane seven, 1:05:28 this song 1:05:31 not only becomes a song, a symphony, an 1:05:34 album. 1:05:36 Um, 1:05:38 it turns into a feature film [laughter] 1:05:43 um with distribution. Um, it it's 1:05:46 entered into the Khan Film Festival. Um, 1:05:51 it wins that. Um, it inspires a line of 1:05:55 um of 1:05:59 new vampire novels that that that that 1:06:02 knock the uh the the current popular 1:06:06 ones. What's that ones? Whatever. 1:06:08 Doesn't matter. Like like the lane seven 1:06:12 economy is going to take a simple idea 1:06:14 just those that little arpeggio and it's 1:06:18 going to turn it into a whole economy 1:06:22 with marketing 1:06:24 with production 1:06:26 with marketing with distribution with 1:06:29 monetization 1:06:33 and and it'll turn it into a franchise 1:06:35 from a single idea. 1:06:38 That's how it's going to get weird 1:06:42 because people in the slow economies 1:06:45 are just going to hear the stupid licka. 1:06:48 Yeah, that's nothing. I could play that. 1:06:50 I know. But I did. And I took that na 1:06:55 and I put it in a lane seven business 1:06:58 that happens to be sitting on my desk 1:07:00 over there. 1:07:03 How' you do that? I didn't. 1:07:09 It doesn't make any sense. It doesn't 1:07:11 make any sense. 1:07:14 Yep. I'm at home six and seven, 1:07:18 [laughter] 1:07:23 [sighs] 1:07:24 right? I think that's it. Not every 1:07:26 distributor accepts AI music. So, so 1:07:29 Nick, correct? In lanes 1, 2, 3, and 1:07:34 four, 1:07:36 music companies and distributors don't 1:07:38 take AI music. 1:07:40 Lane seven is going to create an 1:07:42 entirely new economy that doesn't give a 1:07:45 [ __ ] about how the current distribution 1:07:47 model works. 1:07:50 That's the whole point. Lane seven is 1:07:52 going to be its own economy. It's going 1:07:54 to be like, "Oh, there's gatekeepers 1:07:56 that are going to get in the way of me 1:07:58 distributing this. Let me go directly to 1:08:01 every movie house, you know, in the 1:08:04 world and pitch them my movie 1:08:07 individually. I'll cut up I I'll 1:08:09 research every movie house owner 1:08:13 and what they like and what they're 1:08:15 excited about and I'll do custom edits 1:08:17 of trailers for each one. 1:08:21 I don't need a [ __ ] distributor. I 1:08:23 will I will I will invent a new way of 1:08:25 of distributing content. That's what 1:08:28 lane seven is. Lane seven's going to be 1:08:30 weird. That's what I'm saying. Lane 1:08:31 seven's going to be weird. It's not 1:08:33 going to make sense. It's like, you 1:08:35 can't just call everyone. Uh, yeah, you 1:08:37 can. 1:08:39 We have an agent that that's all he does 1:08:41 24 hours a day. 1:08:44 [laughter] Just he follows the sun 1:08:45 around the earth. 1:08:48 It's 8:30 everywhere. [laughter] 1:08:56 It's going to be the napster of the AI 1:08:58 age. It's a big deal to feel that. I've 1:09:01 been looking my for my lane for so long. 1:09:03 I've got to write that article. 1:09:09 There are going to be seven economies 1:09:20 and certain tools are going to get 1:09:21 stagnated in certain economies cuz 1:09:23 something's going to work in lane four 1:09:26 and people are going to be like, I want 1:09:28 I'm just going to stay in lane four. 1:09:29 There's a lot of people in lanes one, 1:09:31 two, and three that are looking for 1:09:32 stuff in four. So, I'm going to focus on 1:09:34 four. I'm going to be good right here. 1:09:37 And they will for some amount of years. 1:09:47 This is wild. 1:09:50 Oh, here's the caveat. I could be 1:09:52 completely wrong [laughter] 1:09:58 because nobody [ __ ] knows. 1:10:09 I don't think I like this AI stuff. All 1:10:12 right, here's the blueberry patch. 1:10:15 You're in economy one. [laughter] 1:10:18 And listen, there's nothing wrong with 1:10:20 economy one. The only economies I 1:10:22 wouldn't want to be in are are are lanes 1:10:24 two and three. 1:10:26 The slow economy, the [ __ ] technology 1:10:29 economy, that's going to be a blast, 1:10:32 right? People are going to get dirty 1:10:33 again. They're going to be in They're 1:10:35 going to have hoowns. They're going to 1:10:37 have picnics. 1:10:39 They're going to have spontaneous 1:10:41 concerts. 1:10:43 They're going to rediscover sex. 1:10:46 Economy one's going to be a blast. 1:10:51 Lane two and lane three are going to 1:10:53 suck. What did you miss, Gareth? There 1:10:58 we now live in a seven economy world. 1:11:02 You missed that. 1:11:04 And then you missed a cool song. Here, 1:11:05 let's let Gareth hear my cool song. I 1:11:07 think he'll like it. 1:11:11 [laughter] 1:11:15 [music] 1:11:22 [music] 1:11:28 >> [music] 1:11:38 [music] 1:11:43 [singing] 1:12:04 [music] 1:12:14 [music] 1:12:25 >> Oh. Heat. Heat. [music] 1:12:36 [music] 1:12:40 [music] 1:12:47 [music] 1:13:05 >> [music] 1:13:27 >> That's cool. All right, that one's good. 1:13:31 That one's good. I'm going to download 1:13:33 that. [clears throat] 1:13:36 I can see clearly now the rain is gone. 1:13:47 What else? 1:13:49 Thoughts, questions, 1:13:52 help. I need to create a Telegram bot. 1:13:58 I don't know how to create a Telegram 1:14:00 bot. 1:14:04 Well, Open Claus is a Telegram bot. You 1:14:07 have to configure it. So, here's how you 1:14:09 do it. Alpha Villa. 1:14:14 If you're like me and you have you 1:14:18 understand technology, you understand 1:14:19 programming, you understand software 1:14:22 design and architecture and [ __ ] like 1:14:24 that, you'll be fine. 1:14:27 Just go to Chat GPT and say [laughter] 1:14:30 go research the best ways to make a 1:14:33 Telegram bot. Like, do you want to do an 1:14:35 openclaw one? 1:14:39 Yes, you do. Coding though. Yeah, but 1:14:41 coding. So, so you can still do the 1:14:43 coding part. Go to chatgpt, tell it to 1:14:46 research how to install openclaw, how to 1:14:48 connect it to telegram, [laughter] 1:14:52 and then just do it. But you're going to 1:14:53 have to pay attention to [ __ ] So, so 1:14:55 here's what I did with my OpenClaw that 1:14:57 I think is decently clever. 1:15:02 Grock 1:15:06 searches Twitter. 1:15:08 All of the tech nerds on Twitter are 1:15:10 talking about all of the ways they set 1:15:12 up their open claws, right? So, you can 1:15:15 just go to Grock and you can say, I I 1:15:18 only want the latest wisdom about 1:15:20 OpenClaw from like the last three days. 1:15:23 So, I want best practices 1:15:26 for 1:15:28 what I said was installing OpenClaw on a 1:15:31 gaming PC with a 5070 card in it and I 1:15:36 think it's got 16 gigs of RAM, whatever 1:15:38 it is, 1:15:40 and 1:15:42 go tell me all the [ __ ] I should use. 1:15:44 And I and I did that on Grock. Then I 1:15:46 took the output of that, went over to 1:15:49 Claude and dumped it in there and said, 1:15:52 "Now give me a step-by-step tutorial." 1:15:59 That's what you're good at, the paying 1:16:00 attention. You got to pay attention. 1:16:03 Please publish one of those, Kyle. I'd 1:16:05 like to add it to my playlist. Oh, one 1:16:07 of the the seventh economy symphony. 1:16:10 We'll do this last one. I think this 1:16:11 one's really good. I will publish it 1:16:14 right now. 1:16:17 It's got two plays. 1:16:20 Um, publish here. Publish. 1:16:29 We're going to generate cover art. We're 1:16:31 going to say, 1:16:33 uh, text to video. 1:16:36 Describe what you want to see. 1:16:39 Um there are seven economies 1:16:46 each in a lane 1:16:50 with 1:16:53 um weak 1:16:55 connections between them. 1:17:05 Lane one 1:17:08 is the slowest 1:17:12 and 1:17:15 is paths 1:17:17 through blueberry fields. 1:17:20 [laughter] 1:17:23 Lane seven 1:17:26 is 1:17:30 laser fast. 1:17:33 All right, we'll see how shitty this is. 1:17:36 Kyle is smarter than AI can ever be. 1:17:39 Well, you know, I mean, thank you for 1:17:41 the compliment. It's It's not even close 1:17:43 to true. But but here's what I'm smart 1:17:45 enough to know is I'm smart enough to 1:17:48 know that when chat GPT01 came out, the 1:17:52 first reasoning model from OpenAI, 1:17:55 this was 1:17:58 was it only a year and a half ago? 1:18:02 I think it was November of 24. 1:18:06 Brandon, can you look up when 01 came 1:18:08 out? I think it was November of 24. When 1:18:10 01 came out, 1:18:13 that's when I realized, oh [ __ ] I'm the 1:18:16 bottleneck. 1:18:18 So very early on I recognized that this 1:18:22 concept of AGI like the the computers 1:18:25 have to be smarter than all the people. 1:18:27 Like what I got for me personally was 1:18:29 AGI for me personally was when I was the 1:18:33 bottleneck 1:18:34 and it was 01 the first reasoning engine 1:18:38 December 2024. Yeah, I thought that's 1:18:40 about right. That's that's really not 1:18:41 that long ago. Oh, I like this one. 1:18:43 Let's go with that. Uses video cover. 1:18:47 That's beautiful. 1:18:49 Add caption. 1:18:54 Simple 1:18:56 simplicity 1:18:59 is hard. 1:19:02 Anyway, why why do I not have Why did it 1:19:05 not 1:19:09 save my Oh, [ __ ] I lost that thing. How 1:19:14 did I lose that? 1:19:18 Simplicity is hard. Flamco. 1:19:20 Flamnco. Suspense. That's not bad. 1:19:26 Add a style summary. What did I say? 1:19:29 Minimalist 1:19:34 classic 1:19:38 guitar 1:19:40 cello. Oh no. Haunting cello. 1:19:46 Um, 1:19:51 and then 1:19:53 coral harmonies 1:19:57 as chords. 1:20:01 Full symphony. No, this one didn't have 1:20:03 full symphony. Okay, that's that. 1:20:05 There's no lyrics. 1:20:08 Update cover art. 1:20:15 Okay, it did it. Okay, 1:20:17 wait. Where? 1:20:20 Publish. 1:20:22 Okay, there we go. Oh [ __ ] it ate my 1:20:25 God damn it. [laughter] 1:20:28 Okay, for those of you making software, 1:20:30 could you not make [ __ ] modals that 1:20:33 Okay, look at Okay, 1:20:36 you don't want to talk about every 1:20:37 company needs an angry Gen Xer in the 1:20:39 corner. Here's what I'm [ __ ] talking 1:20:41 about. You see this? This is a modal. 1:20:45 It's a window that sits on top of 1:20:46 another window. Now, what did they do 1:20:48 with this modal? They added too much 1:20:51 [ __ ] to it. And rather than redesigning 1:20:54 the interface, 1:20:57 they just said, "Oh, just make a scroll 1:20:59 window." And what did they put below the 1:21:01 scroll? The [ __ ] submit button. 1:21:04 [clears throat] So, what happens is you 1:21:06 do [ __ ] up here and then you see 1:21:08 something over here you want. So you 1:21:09 click out here and it erases all the 1:21:11 [ __ ] in your modal 1:21:14 because you can't see the [ __ ] 1:21:16 button. 1:21:20 [sighs and gasps] 1:21:24 What did I write here? I had something 1:21:26 good. I thought Oh, simplicity is hard. 1:21:29 God damn it. 1:21:32 Uh flamnco 1:21:34 um suspense. What was it? 1:21:39 Flamco experience. 1:21:41 Experience is good. [laughter] I like 1:21:44 Flamco experience. Welcome. Welcome to 1:21:47 the Flamco experience. [laughter] 1:21:51 It's really good. Okay, now I got to 1:21:53 remember this [ __ ] thing. What did I 1:21:54 say? Uh, minimalist, minimalist, 1:22:00 classical 1:22:04 guitar, 1:22:07 haunting 1:22:14 joke. [gasps] 1:22:15 By the way, 1:22:17 if you think I really am that pissed, 1:22:21 I'm not. [clears throat] 1:22:22 I don't care. It's a character. I It 1:22:26 cracks me up, [laughter] 1:22:28 but I'm not wrong. They stuck the 1:22:30 [ __ ] button below the scroll and 1:22:32 that's They're [ __ ] for that. So, I 1:22:35 guess I am that pissed. [laughter] 1:22:38 Okay. Coral. 1:22:40 Coral 1:22:42 harmonies 1:22:44 as chords. I don't even think that's a 1:22:46 proper musical term, but I don't care. 1:22:48 Think I care? I don't care. you these 1:22:51 stupid cords. 1:22:55 Um, publish. 1:22:59 All right. Are we published? No, we're 1:23:01 publishing. Publish. Song is now public. 1:23:05 Okay. Go to seven seven economy 1:23:07 Symphony. 1:23:10 That video is hilarious. I know. 1:23:21 >> [music] 1:23:30 [music] 1:23:44 [singing and music] 1:24:00 [music] 1:24:05 [music] 1:24:11 [music] 1:24:19 [music] 1:24:25 >> I like Flamingco Supernova. Although I 1:24:28 can't um I don't think I can edit it. 1:24:31 Can I 1:24:33 unpub? I'd have to unpublish it. Wait. 1:24:35 Song details. 1:24:37 Flamco supernova. I like that. 1:24:39 Supernova. 1:24:42 Um, save. All right. I think I saved it 1:24:45 as supernova. It really scratches my 1:24:47 brain in a nice way. It does. Me, too. I 1:24:50 I'm digging it. 1:24:54 This is going to be So, okay. So when I 1:24:56 write my 1:24:59 [sighs] when I write the seven economy 1:25:01 article 1:25:11 actually what's fascinating is this. Oh 1:25:13 this is really cool. Okay. 1:25:15 So, say you're a guy that can play 1:25:17 guitar. [laughter] 1:25:19 That can play guitar this good. 1:25:23 [music] 1:25:28 Okay. 1:25:32 You're not talented enough for economy 1:25:35 one, right? I mean, sure, you you could 1:25:38 go to a blueberry festival and you could 1:25:40 go 1:25:44 The fertilizers of the [music] sun made 1:25:48 the blueberries 1:25:50 blue, purple, green, 1:25:52 and juicy. 1:25:54 Right? You could do that. You could you 1:25:56 could be a you could be a spoken word 1:25:58 poet in the blueberry economy. 1:26:01 [laughter] 1:26:05 in in in the in the screeching to a halt 1:26:08 economy, 1:26:09 um you would have to get an agent um and 1:26:13 get you a record deal. You would have to 1:26:15 get a record deal and you go into the 1:26:17 you you'd pull all your favors and you 1:26:19 get invited uh to go to to the ANR guy 1:26:23 and he'd be like, "What do you got?" 1:26:24 You're like, "Uh [clears throat] 1:26:26 here, check this out. 1:26:30 It's gonna be so good." 1:26:31 Um, 1:26:33 I didn't I didn't quite make it to 1:26:35 Giuliard, but uh but I've been playing 1:26:38 guitar for years. Okay, so anyway, here 1:26:40 here we go. 1:26:44 [music] 1:26:47 Huh? 1:26:50 [music] 1:26:52 Wait for it. 1:26:55 [music] 1:26:59 Wait, wait, wait. Here we go. 1:27:01 See? [music] Get it? 1:27:08 That's So, do I mean, do I have a deal? 1:27:12 Right. So, in economy 2, you're screwed. 1:27:15 [laughter] 1:27:17 Economy 3 where they they've got some 1:27:20 AI. They're like, "Oh, yeah. Yeah, you 1:27:22 could. Why don't we'll just make one out 1:27:24 of puno. We We're good. We don't need 1:27:26 you. We We're good." Right. the next 1:27:29 economy over, they actually understand 1:27:31 these tools. They're like, "Oh, play 1:27:33 that into sunno. We'll turn it into 1:27:35 something cool, right?" Economy six, 1:27:38 they're like, "We're gonna Oh, that's a 1:27:40 good lick. We not only can we turn that 1:27:42 into a song." I think that's the whole 1:27:43 Yeah. Okay. AND THEN ECONOMY 7, YOU'RE A 1:27:46 [ __ ] ROCK STAR. 1:27:49 [laughter] 1:27:50 SO, you're either a beat poet in economy 1:27:53 one, you're a rock star in [laughter] 1:27:55 economy 7, you're decent in economy six. 1:27:59 Just don't [ __ ] around. I I'm telling 1:28:01 you, man, economies two, three, and four 1:28:03 are just going to suck. 1:28:07 [laughter] 1:28:08 When do we get the record deal? 1:28:11 The Tik Tok question. Kyle, can we 1:28:14 remake Cancel TV show with AI as the 1:28:17 writers and Nano Banana as the as the 1:28:20 directors? Well, Nano Banana wouldn't be 1:28:22 the director. Nano Banana just make 1:28:24 images. 1:28:27 I mean, we're not at the point, Mr. It, 1:28:29 where you can do effective storytelling 1:28:32 without being a storyteller. 1:28:34 [music] 1:28:42 But that's going to change. Economy 7, 1:28:45 economy 7, 1:28:47 there's already people talking about 1:28:48 this on X. Economy 7 is going to have 1:28:51 full-on movie production studios 1:28:56 that are producing highquality feature 1:28:58 films, 1-hour dramas, 30 minute sitcoms 1:29:04 247, 1:29:05 7 days a week, interfacing with whatever 1:29:09 distribution networks in the old 1:29:10 economies let them, but inventing 1:29:12 entirely new [ __ ] distribution 1:29:14 networks over here. 1:29:17 Someone's going to turn a Mac Mini into 1:29:19 a into the new distribution studio that 1:29:22 takes off and changes the world 1:29:25 in Economy 7. And you know what's going 1:29:28 to happen? The the the the current 1:29:30 Hollywood the current distribution 1:29:32 things are going to look at that and 1:29:33 they're going to [ __ ] laugh at it. 1:29:34 That's weird. Did you see that kid? He's 1:29:37 like 14. 1:29:40 Here's the thing. They're so cute, 1:29:43 aren't they? He thinks he can do what we 1:29:45 do. [laughter] 1:29:51 Don't be in economies two, three, or 1:29:52 four. 1:29:58 [sighs] No, you can be in economy four 1:30:00 is not going to be bad. Two and three 1:30:01 are going to really suck. 1:30:05 [sighs and gasps] 1:30:07 Hey, do you want you want to try 1:30:08 something fun? This is fun. Watch this. 1:30:11 Here's what we're going to do. We're 1:30:13 gonna try 1:30:17 >> [gasps] 1:30:19 >> There's no cry in trying. [laughter] 1:30:24 We're going to try to upload a video. 1:30:29 I just 1:30:32 realized 1:30:33 tonight 1:30:39 we are 1:30:41 going to be living in 1:30:45 seven economies 1:30:50 later this year. 1:30:55 rather than explain myself. 1:31:01 [laughter] 1:31:04 Here's 1:31:06 the theme song. [laughter] 1:31:14 Here's the theme song for the concept. 1:31:17 [laughter] 1:31:18 This is the This is This is like a an 1:31:21 economy six kind of thing. [laughter] 1:31:23 Here's 1:31:25 the theme. You can Here's the cool thing 1:31:27 about economy six and seven. You can 1:31:29 just do stuff in the wrong order, right? 1:31:32 Normally, if you were going to declare 1:31:34 that we we're living in seven economies, 1:31:37 step one would be maybe get a degree in 1:31:41 economics. 1:31:42 [laughter] 1:31:44 We don't have to do that anymore. That's 1:31:46 the old way. The new way is you just 1:31:49 make [ __ ] up and then you just go do it. 1:31:53 >> [laughter] 1:31:58 >> Okay, watch this. This is going to be so 1:32:01 so much fun. Seven Economy Symphony. 1:32:06 [music] Beautiful. Sounds great. Let's 1:32:08 go. 1:32:10 All right, let's watch this. This should 1:32:12 be cute. Uploading 0%. 1:32:15 8. Oh, it failed. 1:32:18 Network problems. Post. Okay, here we 1:32:21 go. It's going to be so good. 1:32:24 Resume. No. Are we hung? We're just hung 1:32:28 every Yeah, it crashed. Yeah. No, it's 1:32:30 good. It's solid. So then what we'll do 1:32:33 is we'll do this. We'll go over here. 1:32:35 We'll find it. 1:32:37 Is this it? Yeah. We're going to open 1:32:40 this up. And then you know what we're 1:32:42 going to do? You know, you've seen this 1:32:44 before. We're going to export this 1:32:48 as what? as aov file. Why? Because we 1:32:52 thinks it we think it'll make a 1:32:54 difference. Will it? No. But we're going 1:32:57 to try. 1:32:58 So good. Oh, Elon, this is the best $40 1:33:03 billion you've ever spent. 1:33:07 Hey, if I gave you another $40 billion, 1:33:09 could you fix the [ __ ] upload button? 1:33:11 No. Okay. Nah, I didn't think so. I knew 1:33:15 it was a lot to ask. 1:33:17 One, two, two, one% 1:33:22 two 1:33:24 136 fail. [laughter] 1:33:31 [laughter] 1:33:32 And And what I thought is that if if you 1:33:35 upload it on your phone, it'll work. But 1:33:37 no. 1:33:39 Oh, you know what? I I know how I can 1:33:41 make it work. If I turn off wifi and 1:33:43 just upload it on cell, that'll work. 1:33:46 Can I do that now? Can I switch over to 1:33:48 Oh, I can storyline auto magic. Oh, this 1:33:51 is good. 1:33:55 He's too busy not paying tax. 1:34:11 I know what just happened. 1:34:13 I just switched to my phone hotspot, but 1:34:16 this is going to probably allow us to 1:34:18 upload the video. 1:34:26 I'll go back to I'll go back to Wi-Fi in 1:34:28 a second. I'm just trying to use cell 1:34:30 data to upload this thing. 1:34:34 >> [whistles] 1:34:37 >> This is my favorite part of the show 1:34:39 where Kyle tries to upload his 1:34:40 masterpiece to X. 1:34:44 [laughter] 1:34:49 [gasps] 1:34:50 Oh my god. 10% battery. What's How can 1:34:54 it be on 10% battery? 1:34:57 What's going on? Why is this not 1:35:00 charging? 1:35:06 That's working. 1:35:15 Okay, now it's charging. 1:35:17 Did it go? It went. Okay, let me switch 1:35:20 back to Wi-Fi. Hang on. It's going to 1:35:23 die for a minute. 1:35:26 Can you please help me prompt my 1:35:41 It's just master prompter, not it. 1:35:44 [laughter] 1:35:50 I'm such a pervert. Okay. 1:35:57 What are you trying to What are you 1:35:58 trying to do in perplexity? How we doing 1:35:59 timewise? Pretty pretty much time to go. 1:36:01 But did I Wait, let me make sure that I 1:36:03 posted that. Did that actually post? 1:36:06 Yeah, it did. Okay, I'm going to edit 1:36:09 the post. I'm going to throw in here. 1:36:11 Got it. I'm going to throw in here 1:36:14 at Scoilizer. We'll see if we can get 1:36:16 Robert Scoble to give it an old and 1:36:19 Robert Patterson. 1:36:32 David Scott Patterson. Okay. Update. 1:36:36 [clears throat] All right. So, do me a 1:36:38 favor. Go to my ex profile, Kyle 1:36:41 Shannon, 1:36:43 and find the uh the [clears throat] post 1:36:46 with the seven economy. 1:36:51 Seven 1:36:53 economy 1:36:56 symphony. 1:37:18 I wanted to be a legal genius with heavy 1:37:20 constitutional background 1:37:24 along with equity maxims and bib 1:37:26 biblical principles. 1:37:28 So what I would do alpha is I think 1:37:32 within perplexity you can do what are 1:37:35 effectively custom GPTs. I forget what 1:37:38 they're called. So I would ask chat GPT 1:37:41 or perplexity 1:37:43 what is the perplexity equivalent of a 1:37:45 custom GPT 1:37:47 and then what I would do is I would 1:37:51 either in claude or chat GPT 1:37:56 I would create your documents create 1:37:59 your equity maxims. So if you've if 1:38:01 you've already got them written out, 1:38:03 great. Or go collaborate with Chat GPT 1:38:05 and say, "Hey, I want to create equity 1:38:08 maxims for a tool I'm building." And 1:38:10 then I want you know the following 1:38:12 biblical principles. Create that as a 1:38:14 separate document. Um legal genius that 1:38:17 you can just kind of prompt. You don't 1:38:19 pro you don't you probably don't need to 1:38:20 give it that because there's so much 1:38:21 legal stuff out there. And then 1:38:23 constitutional background. You could put 1:38:26 in documents from the founding fathers. 1:38:28 So what I would do is I would I would 1:38:30 collect a set of documents 1:38:33 and then upload those to what's 1:38:35 effectively a custom GPT in perplexity 1:38:39 and then and then just do a prompt that 1:38:42 says you know use these documents in the 1:38:46 following way. So write your prompt 1:38:48 referencing those documents. 1:38:52 I can't go search for them. I can't get 1:38:54 it to go search for them. 1:38:58 I don't know how to do that. Yeah. And 1:39:00 this is not legal advice. Yeah. I I You 1:39:03 can't go You can't get it to search for 1:39:05 what? 1:39:09 For like equity maxims. 1:39:13 Oh, perplexity spaces is the thing 1:39:15 that's like custom GPTs. 1:39:19 Yeah. The other thing I would do, like 1:39:21 what I would do, so 1:39:24 I can't get it searched for them. 1:39:28 Can I get it to search for the info upon 1:39:31 each question? 1:39:36 Um, you could, but it'll take forever. 1:39:39 Like what I what I would actually do if 1:39:41 I were you, if you haven't played with 1:39:42 Notebook LM, go play with Notebook LM. I 1:39:46 would gather your documents first 1:39:49 and then I would upload those documents 1:39:53 to Notebook LM and then you could have 1:39:55 notebook L. You could you could probably 1:39:56 just do all the work you want to do 1:39:58 right within Notebook LM 1:40:01 because with Notebook LM you could point 1:40:03 you could point it to legal websites. 1:40:06 You could point it to anything you find 1:40:09 that you want to 1:40:11 use. 1:40:13 But I but the reason not to go search 1:40:15 for them each time is that you would 1:40:16 have to have just a mega prompt that you 1:40:18 copy and paste each time. You might as 1:40:19 well just do that as a system prompt in 1:40:22 a custom GPT or in a custom in notebook 1:40:25 LM or in even in Perplexity spaces. 1:40:29 That's what I do. Um anyway, I'm I would 1:40:32 go play with it right now, but I'm too 1:40:34 tired. So maybe come back tomorrow. 1:40:36 What's tomorrow? Thursday. 1:40:39 Um [clears throat] 1:40:44 all right, I'm going to go. So yes, sir. 1:40:48 Hey Kyle, before you go, 1:40:50 >> yes, 1:40:50 >> you were talking earlier about the uh 1:40:52 first song that you ever prompted into 1:40:55 existence on Sunno. 1:40:56 >> Oh yeah. 1:40:57 >> If you go back to your Sunno interface 1:40:59 and click into your library. 1:41:01 >> Yeah. 1:41:02 >> And be mindful of your tabs. Uh and then 1:41:04 just sort by oldest first 1:41:07 >> history. 1:41:11 >> So if you just go to your standard 1:41:13 library of songs. 1:41:14 >> Yeah, that's where I am. And then in the 1:41:17 drop down, change it from newest to 1:41:19 oldest. Before you click play, we have 1:41:22 all forgotten how bad V2 was. 1:41:27 So, after basking in the glow of V5 for 1:41:30 the better part of an hour, this is 1:41:33 going to sound really janky, but hope 1:41:35 that answered your question. 1:41:37 >> Well, I woke up feeling hungry on a 1:41:39 Sunday was the first song. 1:41:42 I gave it a thumbs up. 1:41:47 Well, I [music] woke up on a Sunday 1:41:50 afternoon 1:41:53 [music] 1:41:53 headed down to the 1:41:56 >> I think my first songs were actually in 1:41:58 Yo. I was more into Yo back in the day 1:42:01 because it had better sonic quality. But 1:42:02 this is the first one we did in Suno. I 1:42:04 remember this song. 1:42:10 >> [music] 1:42:10 >> by the window where the jukebox played 1:42:12 some [singing] blues. 1:42:15 And I boiled up a Sunday with a side of 1:42:18 good [singing] news. 1:42:20 Oh [music] yeah. 1:42:25 [music] 1:42:28 >> Hot fudge drip caramel swirl 1:42:31 [music and singing] with cream on top. 1:42:36 >> That's hilarious. That's hilarious. 1:42:40 Um, all right. What else did we have? In 1:42:43 a small town where the sun Oh, I 1:42:45 remember this one. Remember this creepy 1:42:47 doll? 1:42:49 [music] 1:42:52 >> I remember this. [music] 1:42:56 [singing] 1:43:01 >> Sydney. [singing and music] 1:43:04 >> Sydney. This the original Sydney song. 1:43:07 When was this made? 1:43:10 November 15, 2023. 1:43:13 And I didn't and I didn't have the idea 1:43:15 for Sydney the Musical until March 19th 1:43:19 of 2024. 1:43:23 So, I was prompting I was doing Sydney 1:43:25 prompts back in November of 2023. We've 1:43:28 come a long way, baby. I remember this. 1:43:32 >> She [music] 1:43:33 [singing] gloomile. 1:43:37 It's like sunshine [music] 1:43:41 or a rainy [singing] day, 1:43:45 but beneath the surface, 1:43:49 [music] 1:43:50 something's not [singing] quite okay. 1:43:52 >> Something's not quite okay. And it's 1:43:55 like 1:43:59 um the carnival one was uh before the 1:44:01 lights come on. 1:44:04 That [clears throat] one was recent. 1:44:04 That was that was 2025. 1:44:08 Before the lights come on. That that 1:44:11 started as one of my guitar licks. 1:44:14 Before the lights come on. 1:44:17 This is a good song. We'll play We'll 1:44:19 play this one. I like this song. 1:44:23 I actually wrote a LinkedIn article 1:44:24 about this song. 1:44:30 Here we go. 1:44:40 The ferris wheels asleep, [music] 1:44:43 its arms still folded tight. We walk 1:44:46 between the shadows and the 1:44:47 [music and singing] strings of halfway 1:44:49 light. The popcorn stands are dreaming 1:44:52 of the laughter they'll be fed [music] 1:44:54 and your reflection in a puddles turning 1:44:57 pink instead of red. 1:45:01 >> [music] 1:45:04 >> You say it's strange to see it empty. 1:45:08 [music] 1:45:08 I say it's strange to feel this calm. 1:45:14 You smile [music and singing] like you 1:45:16 know something I don't know. I've 1:45:20 already begun. 1:45:23 >> Before the lights [singing] come on. 1:45:25 Before the crowd [music] 1:45:27 arrives. Before we name what this could 1:45:30 be. Before the [singing] day survives, 1:45:33 we linger in the middle [music] where 1:45:35 the maybe feels like song. Two hearts 1:45:38 not yet decided 1:45:41 >> before the lights come on. 1:45:44 [music] 1:45:52 Crazy times. 1:45:54 Seven economies, baby. Seven economies. 1:45:59 That's why it's gonna get weird. 1:46:03 I like the live. Thank you. You guys get 1:46:06 the likes up. Like the live. Like the 1:46:07 live. Um, all right. I'm going to get 1:46:10 out of here. [clears throat] I'll see 1:46:12 y'all tomorrow night. 1:46:14 Um, I hope that was fun. I just kind of 1:46:16 bailed on thinking tonight. 1:46:19 And I think that's okay. 1:46:24 We probably have 1:46:27 we probably have three months. We might 1:46:29 have six months. We could have a whole 1:46:31 year 1:46:33 until it becomes really clear that 1:46:35 there's these multiple economies. But I 1:46:38 think that economy 7 is going to [ __ ] 1:46:40 take off. 1:46:42 Like like I think I think this agentic 1:46:46 just doing [ __ ] weird 1:46:51 has already left the station and it but 1:46:54 it's still in sight. 1:46:57 [laughter] 1:46:58 I don't think you have long 1:47:02 cuz the skills that people are going to 1:47:04 develop doing that are just going to be 1:47:06 [ __ ] crazy. 1:47:12 So, okay, here's why. Here's why. I know 1:47:15 I said I'm going to leave. That's not 1:47:17 the point. 1:47:35 right now. 1:47:41 Even if you start a company, if you get 1:47:43 if you get 10 of the badassest people 1:47:46 from from the AI salon 1:47:49 and you're like, I'm going to get, you 1:47:52 know, this one to do sales and I'm going 1:47:54 to get this one to do account 1:47:55 management. I'm going to whatever the 1:47:57 whatever the roles might be. You're just 1:47:59 maybe we're just picking aptitudes now. 1:48:01 This one's super curious. This one's 1:48:03 super conscientious. This one's good at 1:48:05 technical problem solving. Right? So, so 1:48:08 you hire people. You you you start a 1:48:11 company. There's 10 people in it. It's 1:48:13 all AI. You're you're leaning into it 1:48:16 and everyone knows their lane and knows 1:48:18 their tools and they're curious and as 1:48:20 the tools get better, they're learning 1:48:22 new tools. 1:48:24 Humans are still the bottleneck 1:48:29 cuz they have to pee 1:48:33 and they have to eat. 1:48:36 And like they're like, "I got a family. 1:48:38 I know we're doing a startup, but like I 1:48:40 just got a call. My wife's pissed. I 1:48:43 just I really want to meet you guys." 1:48:49 That's what I would be like. 1:48:55 you humans are still the bottleneck. Now 1:48:58 you could argue humans are going to do 1:48:59 this and humans are going to you're 1:49:01 going to that's that's hubris. Hubris 1:49:04 right now says humans are required for 1:49:08 any of these economies. 1:49:10 Economy 7 is going to go 1:49:15 hey I have an idea. What if, 1:49:18 spoiler alert, doesn't involve many 1:49:20 humans. What if 1:49:24 all of our employees worked 24/7 and 1:49:27 didn't need to pee? 1:49:33 It's just going to go at a different 1:49:34 speed 1:49:37 and it's going to be incomprehensible 1:49:40 how fast it's going to go. Even if 1:49:42 you're in lane six, 1:49:45 if you're in lane six and you're like, 1:49:47 "We're doing the best AI [ __ ] ever." And 1:49:49 you are. 1:49:51 And people in lane five are like, "Those 1:49:53 lane six people are [ __ ] remarkable." 1:49:56 And the people in lane four that are 1:49:58 trying to get forwardlooking companies 1:50:00 to transition, 1:50:03 they're going to be like, "Lane five is 1:50:05 killing it, man. 1:50:09 Lane seven is going to be 1:50:11 >> [clears throat] 1:50:12 >> gone. 1:50:15 Anyway, I drank too much last night. 1:50:18 [laughter] 1:50:20 All right, I'm gonna leave now. I hope 1:50:22 y'all had fun tonight. I did. We made a 1:50:25 cool song and we came up with a new 1:50:27 economic theory. [laughter] 1:50:29 I'm g I'm going to go some deep do do 1:50:32 some deep research. So, here's what I'm 1:50:34 going to do. I'm going to use chat GPT 1:50:36 for confirmation bias for my idea. 1:50:39 [laughter] 1:50:41 Tell me I'm brilliant. All right.