3/9/2026 - Mapping the Seven Economies of the AI Era and Finding Your Place in the Future

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0:00 That there. Put that there.
0:04 Put that there.
0:08 We're live there. We're going live here.
0:12 Everybody's live. WE'LL DO IT LIVE.
0:16 WE'LL DO IT LIVE.
0:27 WOW.
0:45 YAY.
1:16 There is a young cowboy. Wait.
1:20 There is a young cowboy who lives on
1:24 range.
1:29 He's all said his cattle are only
1:32 companions
1:37 waiting for some. He work he works in
1:41 the saddle and he sleeps in the canyon.
1:46 Waiting for summer. his pastures change.
1:54 Um, and as the moon and as the moon
1:57 rises, he sits by his fire, thinking
2:00 about women and glasses beer. closing
2:04 his eyes as the doggies retire. He sings
2:08 out a song which is which is soft but
2:12 it's clear
2:14 as if maybe someone could hear
2:20 singing good night your moonlight ladies
2:25 rock by sweet baby James
2:32 sweet greens and blues are the colors I
2:34 choose
2:42 There you go. Tick tock people.
2:48 Um, deep greens and blues. Deep greens
2:51 and blues are the colors I choose. Won't
2:54 you let me go down to my dreams
2:58 and rock goodbye, sweet baby James?
3:02 Now the first of December was covered
3:05 with snow.
3:11 Snow was a turn pack from Stockbridge to
3:14 Boston.
3:18 The bug she seemed dream like on account
3:21 of the frosting with 10 miles behind me
3:25 and 10,000 more to go.
3:30 Oh, there's a song that they sing when
3:32 they take to the highway. Song that they
3:35 sing when they take to the sea. A song
3:39 they sing at their homes in the sky.
3:42 Maybe wait. Uh maybe you can believe if
3:47 it helps you to sleep. I don't know this
3:50 this song that well. This is the reason
3:52 I brought this song up.
3:56 I saw an interview. I think it was
3:58 Steven Cobear asked James Taylor what he
4:01 thought his best songs were
4:05 and they were all really obscure ones
4:07 except this one and I was like oh it's
4:10 such a good song but I should probably
4:12 [ __ ] learn it before I sing it.
4:17 There's nothing MORE ROCK AND ROLL THAN
4:20 SINGING a song you don't know in public.
4:22 Oh yeah,
4:31 it's Monday after daylight savings. I
4:33 was totally screwed up. Listen, I
4:35 consider myself a relatively bright
4:37 feller.
4:40 And Saturday, I wake up. I think it was
4:42 Saturday.
4:44 I wake up. I go to walk the dog at at
4:47 what feels like a latest time for me to
4:50 get up to walk the dog.
4:52 I'm like, I feel a little tired. And I
4:54 was like, sure seems like it's a little
4:56 dark out. I didn't get it. I didn't put
4:59 it together.
5:02 The the clock on the stove is wrong.
5:05 It's dark out. I'm more tired than I
5:07 should be. I had to go walk the dog for
5:10 a [ __ ] hour and then come back and go
5:12 like, "Oh, I know what happened."
5:20 Hence the sunglasses. Yeah, it's so
5:22 bright out. It's so bright. Oh, the
5:26 future's so bright, baby. Actually, I'm
5:29 really excited about the future. I got I
5:31 I I'm starting to make some some dents
5:37 in my psyche.
5:40 And that's allowing me to be more in the
5:41 world.
5:44 And being more in the world is allowing
5:45 me to take action. and taking action is
5:48 allowing me to tap into my [ __ ]
5:50 brilliance,
5:52 my magnetism, my magic, my magic. Have
5:56 you tapped into your magic lately?
6:00 You should tap into your magic. If you
6:02 haven't tapped into your magic, you
6:03 should tap into your magic.
6:21 There's been something baby I would try
6:24 to say.
6:28 And it seems I don't know how
6:34 the past and the future now surrounding
6:37 me.
6:40 Surrender to whatever cheap thrill can
6:42 be found.
6:46 There's been a little trouble
6:49 since you came to my rescue.
6:56 And if you're like all of the rest, I
6:59 would have quit you long ago, but I
7:02 couldn't do that.
7:07 Oh, tell me now. The women and wife
7:10 never went too well.
7:15 Make a man crazy and make him cold as
7:17 hell.
7:21 I don't want that you wish me well.
7:25 But it's better you try.
7:28 Still going to have to find
7:31 way through.
7:45 Hey,
8:14 Happy Monday.
8:16 Happy to the a happy to the AI learning
8:18 lab. Welcome to the AI learning lab. I'm
8:20 happy to have you here.
8:29 Oh, good lord. What's happening people?
8:35 Happy Monday. TGIm.
8:38 TGIM. How about How about if we reverse
8:42 the [ __ ] trend?
8:44 TGIF.
8:46 [ __ ] that.
8:48 What if
8:50 What if
8:55 Monday was the good day?
8:58 Right. TGIF says, "My work sucks.
9:03 Screw this forsaken existence. Let me
9:06 get to the bottle.
9:10 Right.
9:14 Welcome to the dysfunctional functional
9:17 family.
9:18 We're Listen, here's my contention. We
9:21 are a high functioning dysfunctional
9:23 family. So, I I prefer high functioning
9:27 dysfunction.
9:30 But, you know,
9:32 like like what if what if just crazy
9:37 We said,
9:40 "Oh, AI is going to take our work.
9:46 What if it takes the shitty work? All
9:49 the work we don't like to do
9:52 and then like when we get in on Monday,
9:54 we just get to do the [ __ ] we like to
9:55 do."
9:57 You're like, "Well, I might not even
9:59 have a job." Oh, wait. Across the board,
10:02 that is possible.
10:05 But then, you know,
10:07 maybe you start a business, maybe you
10:10 check out and grow blueberries,
10:14 maybe you figure out how to use AI to
10:16 make you
10:19 daos.
10:24 What if Monday is just another day?
10:32 What if Monday's the day you get to say,
10:33 "I get to go to work." Holy [ __ ]
10:38 TGIM.
10:40 I know. Listen,
10:50 TGIm
10:52 TGIM.
10:56 Uh yeah, it's really hard to uh get
10:58 excited about AI because the robots are
10:59 going to kill us. I know. I know. I
11:01 know. That's your future.
11:05 TGRM Great Repurpose Monday.
11:20 Checking out to grow blueberries. Sounds
11:22 nice. Yeah. Actually, one of the things
11:24 I'm going to work on tonight
11:26 is
11:28 I had Notebook LM generated an
11:31 infographic for me for the for the seven
11:33 economies, which was which is like a sub
11:36 a sub idea of the great repurpose.
11:39 And so, we're going to go into um we're
11:44 going to go into what's it called?
11:47 Gemini into the into the studio and
11:50 we're going to use Nano Banana 2 and I'm
11:52 going to try to fix this image. I think
11:55 it's going to be an exercise in deep
11:57 deep frustration, but it's possible that
12:00 we go in and fix this image because I'm
12:02 I'm really liking the image right now.
12:05 It's kind of a Lego image. I'll show it
12:06 to you in a bit.
12:10 Yeah, I saw that on LinkedIn. Yeah. So
12:12 the the great repurpose so the ba or the
12:15 the seven economies the basic idea of
12:16 the seven economies is that is that the
12:19 world's about to fracture into these
12:21 economies where where some people are
12:23 just going to sort of pretend AI is not
12:25 happening some people are just going to
12:27 go [ __ ] it I'm tapping out they're just
12:28 going to go to economy one which is like
12:30 play in the dirt right go grow
12:33 blueberries and sit on a bench um
12:35 economy 7 is all in on agentic AI right
12:39 single operators
12:41 creating 50 agent companies that run
12:44 24/7 and just do remarkable [ __ ] for
12:46 them. And then and then there's sort of
12:48 these, you know, these these other
12:50 flavors in between. So that's it. And
12:53 and I like the basic design of this
12:56 infographic, but it's got really bad
12:58 typos in it, and I'm not crazy about
13:00 some of the some of the subtitles. So, I
13:04 want to fix it. I want to really tighten
13:05 it up. and we'll see if Nano Banana can
13:08 actually help us bring this thing to
13:10 life in a professional way or if I'm
13:13 going to have to resort to [ __ ]
13:15 Photoshop.
13:18 I don't want to have to do work. So,
13:20 what I'm going to do tonight is I'm
13:21 probably going to spend like an hour
13:24 trying to not do what would take me
13:26 about 17 minutes in Photoshop.
13:53 Shut up, Chimpy. Shut up. Shut up,
13:55 Chippy. Nobody has your opinion.
14:04 You singing champ? Well, I heard there
14:08 was a secret call
14:11 David played that I please the Lord.
14:15 You don't really care for music, do you?
14:21 It goes like this. The fourth, the fifth
14:25 minif
14:29 composer.
14:31 Hallelujah.
14:33 Hallelujah.
14:36 Hallelujah.
14:40 Hallelu.
14:43 Halle.
14:46 Oh yeah.
14:52 Well, your faith was strong, but you
14:54 needed proof.
14:56 Saw her bathing on the roof. Her beauty
15:00 and a moonlight overthrew you.
15:05 She tied you to the kitchen chair. She
15:08 smashed smashed your throne and cut your
15:10 head from your lips.
15:14 Hallelujah.
15:17 Hallelujah.
15:20 Hallelujah.
15:23 Hallelu.
15:26 Hallelujah.
15:39 Does Satan wear suit and tie? Does he
15:41 work at the Dairy Queen?
15:44 Does he listen to rock and roll? Does he
15:47 feed the means singing hallelujah?
15:52 Hallelujah.
15:55 Hallelujah.
16:01 What about Jesus?
16:03 Didn't he do it too? Yeah. Hang out with
16:07 prostitutes.
16:09 Have a drink or two.
16:11 Power of example. My mama said it and I
16:14 heard. She said one ounce action beats a
16:18 ton of words
16:20 singing hallelujah.
16:23 Mama said there would be angels
16:25 hallelujah.
16:28 Mama said there would be sun.
16:38 Uh uh uh uh uh uh uh uh uh. What are we
16:41 going to do? What are we going to do
16:42 tonight? People, good people. Good
16:44 people of the internets. What do you
16:45 want to do? Hm. We'll take the guitar
16:48 off.
16:50 We'll take the mad rock and roll shades
16:52 off. We'll put on the nerdy Harry Potter
16:55 glasses. Are they Harry Potter or I
16:57 think they're Rosie O'Donnell.
17:00 It's one of my favorite trolls of all
17:02 time. I was I was on here and someone
17:05 said Rosie O'Donnell looks like [ __ ]
17:10 When when the trolls are good, you just
17:12 you got to give them props.
17:20 H Yes.
17:26 Woo. All right. Um
17:32 I worked up a little sweat there. Good
17:34 lord, my glasses are fogging up. The
17:38 future's so bright, my my glasses are
17:40 fogging up.
17:42 Um, who's got thoughts or questions? Do
17:45 you want to talk about the Open Claw
17:47 Diary series? Yeah. So, so I will do
17:50 that except I just realized Hang on.
17:54 I've got
17:57 I've got a challenge with
18:01 some camera
18:03 camera smudges. That's better.
18:07 Um,
18:09 so if you haven't been following along,
18:11 if you're new to the channel,
18:14 um,
18:16 I've been I've been working on OpenClaw
18:20 and and you know, you see these exposts
18:22 where like people like, "Yeah, I
18:24 installed OpenClaw like three days ago
18:26 and I've got 30 agents running a
18:28 business for me. I started an import
18:30 export business and it's all just being
18:32 handled by OpenClaw." I'm not quite
18:34 there.
18:37 I'm like three weeks in and I got a dude
18:39 named Adam that that
18:47 at one point today
18:50 and Andy said Andy said uh Adam did his
18:55 job and I said oh what was that and she
18:58 goes he sent an email. So at this point
19:02 my my my success of my agent is it can
19:06 send an email occasionally.
19:14 So So you know if if you're looking for
19:19 um expert advice on on how to deal with
19:24 the agentic world, you've come to the
19:26 right place.
19:29 If you ask the question, "Sir, what are
19:31 your qualifications?" I can confidently
19:34 answer. I have an agent that can send up
19:36 to one email per day occasionally.
19:46 Good lord. Um,
19:52 now we'll see tonight. So, so last
19:56 last Friday and I I think Brandon
19:58 Brandon was the recipient of a bunch of
20:00 these emails. Last Friday, I told Adam
20:03 or No, it was last Saturday. Last
20:06 Saturday,
20:07 I told Adam that I wanted him to learn
20:10 how to at 3:00 in the morning after I do
20:13 one of these lives. So, Tuesday through
20:15 Saturday,
20:17 I got a bunch of emails from Adam. Yeah,
20:20 exactly. So, that was me doing testing.
20:22 That was me setting up his his crown
20:24 jobs. So, one of the things you can do
20:26 with OpenClaw, which is really kind of
20:28 cool, is what are called cron jobs. If
20:31 you don't know what a cron job is, I
20:32 think it stands for chronological. Um,
20:35 it's it's geek speak for timers. You can
20:38 set timers and that at at specific
20:41 intervals, your agent will do something.
20:44 And so, so I set it up so that like
20:47 tonight at 3:00 a.m. my time, um, Adam
20:51 is supposed to go to our YouTube
20:53 channel, find the transcript for this
20:55 show, grab the transcript, read it, pick
20:59 the three most interesting moments from
21:01 the show, and then send me and Brandon
21:04 an email with the hyperlink with the
21:07 time code to jump right to that section
21:09 of the video and then a description of
21:12 what's happening in that section. and
21:13 then a little first person thing for me
21:16 to post on socials. So that's supposed
21:18 to happen tonight. Will it
21:23 sent an email today to one person?
21:27 Um so that's that. Um the other thing
21:30 that so I so I started on on my Tik Tok
21:33 channel. I haven't made content in a
21:35 while. I I do this live thing, but I
21:38 haven't really made content. I' I just I
21:40 don't know what to talk about cuz just
21:42 shit's getting weird and I don't know
21:43 what to talk about anymore. Yeah. Well,
21:46 you could talk about how you do [ __ ] I
21:48 know I could. It just doesn't seem
21:50 relevant.
21:51 Um,
21:54 so I started I started an openclaw diary
21:57 and what I shared today was was if you
22:02 are a non-technical
22:05 open claw installer guy or gal
22:09 and you're relying on chat GPT or claude
22:11 to teach you how to do it like in a
22:13 step-by-step fashion. That's how I did
22:15 it. that what I've come to learn is
22:17 this,
22:19 and this is horrible, that two out of
22:22 three sessions,
22:24 you remember the the Trident gum
22:26 commercials, five out of six dentists
22:28 recommend it. I'm like, what what's
22:30 going on with the the sixth dentist?
22:33 What's what's up with the gum? Right?
22:36 Two out of three sessions,
22:39 66% of the time I sit down to do
22:42 something to improve Adam, it fails.
22:47 Two out of three times. I've just come
22:48 to accept it. I'll sit down, I'll spend
22:50 three hours trying to get it like its
22:54 ability to to like post to X
22:56 authenticated. I've got like a developer
22:59 account on X. I've got OOTH one, OOTH 2,
23:02 tokens and APIs and secret keys and
23:05 public keys and I'm trying my best to
23:08 keep them secure and remember which ones
23:09 I did. And like once you create a key,
23:11 you can't go back in and edit the thing.
23:13 And they're like, "Oh, just go back in
23:14 and edit this thing." Well, I can't go
23:16 back in and edit that thing. I got to go
23:18 back in. I got to create a completely
23:19 new app which generates a whole new set
23:21 of keys which now I got to keep track
23:23 of.
23:24 It's a [ __ ] disaster.
23:27 And so it's just hours go by and then I
23:30 get to the end of it and I'm like, "Oh,
23:31 [ __ ] it." Just
23:34 turn it
23:36 stop. And then I go to bed with
23:40 shame and guilt and and a feeling like
23:44 I'm a failure as a AI learning lab
23:49 educator because I can't educate. All I
23:51 can tell you is how not to do it.
23:56 I don't have that Thomas Edison thing.
23:58 Thomas Edison, you failed 10,000 times
24:00 to make a light bulb. How do you feel? I
24:03 learned 10,000 ways not to make one.
24:08 [ __ ] you, Tommy.
24:10 We have feelings.
24:14 So, I two out of three times I go to bed
24:16 feeling inadequate,
24:18 like a loser.
24:21 But then that third time I get Adam so
24:25 he can look at YouTube or he can send an
24:27 email or he can write [ __ ] to our Google
24:29 Drive and it's pretty good.
24:32 I thought it was supposed to fix itself.
24:35 It sort of fixes itself sometimes. I
24:38 broke mine before I could set it up
24:40 right. Exactly. Well, that's I like even
24:43 people like Brent Peterson who is like
24:45 wicked smart as they say on this sort of
24:48 stuff. I think he's had to like
24:51 completely revert his code on his open
24:54 claw like six or seven times. Um, so
24:58 it's it's just a it's just where the
25:00 technology is right now, right? It's
25:01 part of part of the joy of being early
25:05 is you do get to experience these things
25:07 before anyone else. But, you know,
25:12 it must be slurring. Siri doesn't
25:13 understand anything tonight. Oh, I must
25:15 be slur slurring. It sort of fixes
25:18 itself sometimes. Quote of the night.
25:21 Yeah. No, it you can tell. So, here's
25:23 the thing about OpenClaw. Okay. So, you
25:26 know how chat GPT has that annoying
25:29 thing where you're like, "Hey, [ __ ]
25:31 You've screwed my thing up." And it's
25:32 like, "You're absolutely right to call
25:35 me out on that. Fantastic call. Let's
25:37 get it right this time." And you want to
25:39 slap it in the face. Well, that's sort
25:42 of what Adam does. He's like, he's very
25:44 confident that he can do anything cuz
25:47 you told him he was a helpful assistant.
25:50 So, he's got this o overexuberance of
25:53 his own capabilities and you're like,
25:55 "Hey, Adam, can you do this thing?" And
25:57 Adam's like, "Yeah, I can do that thing.
25:59 Just just give me the word and I'll go
26:02 do it." And then if you're setting these
26:04 things up, you get to watch the server.
26:06 And then you say
26:09 I say, "Hey, Adam, go do that thing."
26:11 And I was like, "Awesome, boss. I'm on
26:13 it." And then I watch the logs and it's
26:15 just like, "Error, error, authentication
26:18 error, error, error, error."
26:22 And then Adam comes back. He's like,
26:24 "Hey, I tried to do it, but boy, that's
26:26 a rough one. But you know what I can do?
26:29 I can go ahead and fix that all up for
26:30 you. You want me to go ahead and do
26:32 that?" I'm like, "Adam, you're the best.
26:34 Go do that." And then Adam goes off and
26:36 he's error, error, error in the server.
26:40 He comes back. is like, I gotta tell
26:42 you, I gave it a shot, man.
26:45 He's just It's just like it it is honest
26:47 to God. It's like having
26:51 a relatively smart,
26:54 very quick
26:57 intern fresh out of community college
27:02 on day two
27:08 and you're just like, "Oh god, I got to
27:10 teach him that, too. Oh god. This is
27:13 This is It would be faster for me to not
27:16 have an intern than have this intern.
27:19 Mad Libs. True.
27:23 It really is. Um and so let me let me
27:27 say one thing. I know I'm making it
27:28 sound like a [ __ ] disaster
27:33 for me.
27:36 the pain in the ass of this
27:37 understanding
27:40 what this new skill is going to be
27:42 because this is a skill. Like it is
27:45 going to be a skill to be able to
27:47 conceive,
27:49 generate, and manage groups of agents
27:53 doing something on your behalf. And so
27:56 really understanding the difference
27:57 between an orchestrator bot and agents
27:59 and sub agents and dynamically generated
28:02 agents and ones that you you handcode.
28:04 Vibe coding is the new trend. Like a
28:07 puppy dog. Yeah, it is like a puppy dog.
28:10 Um Yeah. Um
28:18 but
28:33 I just I'm just trying to like
28:37 I'm trying to put in for myself put in
28:40 context
28:44 the purpose
28:46 of what we've all spent the last three
28:48 years learning
28:55 I suppose like we'll always have Google
28:57 we'll always have chat GPT we'll always
28:59 have the ability to jump into a large
29:00 language model ask it a quick question
29:02 or do a quick brainstorming session, get
29:05 some stuff out and be done with it.
29:08 But I think the primary mode of
29:09 interaction if if you want to live in
29:12 sort of the the advanced future of AI is
29:16 going to be dealing with with these
29:18 collections of agents.
29:20 And it's just a it's just a
29:22 fundamentally different skill. It's a
29:24 fundamentally different um activity.
29:28 It's not better, it's not worse, but
29:29 it's it's very different. And it's it's
29:31 it's like you every be everyone everyone
29:36 kind of becomes a CEO
29:39 and like if you've never been a CEO
29:44 like you got to make calls. You got to
29:46 know what you want. You have to
29:47 understand who your team is. You have to
29:49 understand what they're good at. You
29:50 have to lead them. Tik Tok pin.
29:55 We have learned Kyle likes side quests.
29:58 It's true. It's it's very true. But, you
30:02 know, I don't I don't do a lot of side
30:04 quests like like Claude is this is
30:07 definitely a side quest for me. And
30:11 I'm I'm bound and determined to turn
30:13 Adam into a functional useful agent
30:17 that supports the AI salon and like does
30:21 a lot of the the the, you know,
30:23 thankless work of just grinding out
30:26 stuff you've got to do to run a
30:28 community. which right now is being done
30:30 by humans. Like I want that that
30:33 grinding work to be done by Adam so that
30:35 the humans can focus on big ideas and
30:38 and you know big strategies and things
30:41 like that. And then I want to take what
30:42 I learned with Adam and create Gary the
30:46 Guide for Story Vine.
30:49 Don't forget an anti-gravity by Google.
30:51 I I tried to get into anti-gravity and
30:54 then the 43 pages of preferences shut me
30:59 down.
31:01 Tobias is here. What's happening, dude?
31:04 Uh
31:06 2023 Zap year 2024 GPTs. Yeah, 2023 end
31:11 of 2023 was custom GPTs.
31:14 2026 Open Claw.
31:19 Wait. 2023
31:22 divided by Zapier equals 2.
31:28 2024 divided by GPTs equals 2. Is that
31:31 how I'm reading your post? Right. Be
31:33 thankful. Open claw.
31:38 Didn't Mimi get in?
31:43 I plan to feature it for my LOL Kyle.
31:46 Cool.
31:54 2026 running local models.
31:58 Um maybe
32:01 maybe
32:06 I mean I think with
32:10 I think local models in 2026 are going
32:13 to get quantized optimized and quantized
32:15 enough that you can run them on
32:17 desktops.
32:23 The problem with open source The problem
32:26 with open source and it'll actually be
32:28 interesting to see if AI fixes this.
32:32 The problem with open source is you have
32:35 to be a [ __ ] nerd
32:37 to be able to use it.
32:40 Like go to hug if you've never been to
32:42 huggingface go to huggingface.com
32:45 and try to figure out what in the [ __ ]
32:47 they're talking about or try to go to
32:49 GitHub and understand which of the 272
32:53 files listed is the one you should start
32:55 with. Hint, it's the readme file. How
32:58 are you supposed to know that if you
33:00 don't know that, right? So, so like like
33:04 the problem with and and the other
33:05 problem with open source is someone will
33:07 launch an open- source model, then the
33:09 development community pounces on it and
33:11 they do the MLX optimized one and the
33:14 this optimized one and the quantized
33:15 version and the quantized two, the
33:17 quantized 3, the quantiz 4, the quantiz
33:19 6.
33:21 Like I just want chat GPT on my disc.
33:26 I don't want to know all that [ __ ]
33:28 Right? So, if
33:32 someone uses AI to make an agent that's
33:37 like a doubleclick installer, click
33:39 click on your Mac, and its sole job in
33:42 life is to find the latest, coolest
33:44 models, install everything, test
33:46 everything, figure out which one's best
33:48 for you and your machine. And then just
33:51 occasionally, it says there's an
33:53 upgrade. It can now do this instead of
33:55 that. Would you like that? Yes.
33:59 Then open source. Yes, I agree. Quen
34:02 one's great on old computers. Nerd is a
34:05 requirement. Yeah, nerd's a requirement.
34:10 Nerd is a requirement.
34:13 So, open source is not going to scale
34:15 until nerd is not a requirement. I do I
34:19 do actually believe and and in fact
34:22 someone on this channel could probably
34:24 vibe code up
34:28 an app like a website
34:32 that checks the specs of your computer,
34:35 goes and looks at the latest open-source
34:37 models, figures out which interface
34:40 you're going to use,
34:42 downloads the model, deletes the old
34:45 models off your hard drive so you don't
34:46 fill up your hard drive with old useless
34:48 [ __ ]
34:50 installs it, and then just lets you
34:52 play.
34:54 That could probably be vibe coded
34:55 tonight.
34:58 But do we really want to make it easy
34:59 for bad actors? Yeah, we do. Yeah, we
35:02 do. Because there's also there's there's
35:04 an equal, if not more, amount of good
35:06 actors. And the whole point, listen,
35:09 here's here's this channel exists
35:12 because in my opinion, chat GPT
35:15 represents
35:18 Chat GPT does for AI what the worldwide
35:22 web did for the internet. Prior to the
35:25 worldwide web, the internet required you
35:28 to do command line [ __ ] and and just by
35:31 design, the only people that were on it
35:34 were engineers, researchers, librarians,
35:38 government people, right? Putting their
35:42 dissertations and their
35:44 science findings and their library
35:47 cataloges there.
35:50 And the minute Tim Berners Lee created
35:52 the hyperlink
35:56 that democratized it for everyone else.
35:59 That's what chat GPT did for AI.
36:02 So yeah, I think it is it is actually
36:07 really important. I think, listen, I
36:08 think open source is really important.
36:10 But as long as open source is this niche
36:13 off in the corner,
36:16 then we're going to be controlled by the
36:18 big frontier model companies which are
36:20 going to be run by the government.
36:25 I love tricking people with the
36:26 hyperlink back in the day. Yeah,
36:28 exactly.
36:30 Corey Sandler. All right,
36:34 what else is going on? What else is
36:37 happening, people? We'll go. We're going
36:39 to go work on something here shortly. I
36:43 think we'll do it now. Save image as
37:10 All right, that sounds good. Brandon
37:15 Joy Pretty. Um, okay. So, here's what
37:17 we're going to do.
37:20 The standard extension is JPEG. Use
37:22 JPEG. That's fine.
37:29 What we're going to do is this.
37:33 Let me tell you, Bob. Bob, that's
37:35 fantastic.
37:38 Oh, I didn't What? Uh, I'm having one of
37:41 those issues where my screen share is
37:42 going to keep disappearing.
37:44 So, if it just disappears, just let me
37:47 know. Okay. So, this image,
37:52 this image, I'm really happy with the
37:54 the basic design of it. So, I went into
38:00 what you call it
38:02 notebook LM.
38:06 I took an article that I wrote about the
38:08 seven economies, black bar,
38:13 and
38:18 I had it do a bunch of infographics. In
38:20 fact, we could jump over there. I can
38:22 show you all the ones it did. There was
38:24 something about the design of that one I
38:26 just really liked.
38:29 Let me get I'm going to change my share
38:31 screen so my big fat head's not over the
38:33 interface.
38:37 He's really not that fat. Oh, I think he
38:39 is. I think he he could lose a pound or
38:41 two. Um,
38:44 okay.
38:47 Work identity. Is this it?
38:51 Purpose flashcards. No, that's not it.
38:57 Seven economies. Here we go.
39:01 Black bar again. That's got to be
39:03 exhausting being a producer for for this
39:05 show, you know?
39:09 That's got to suck.
39:12 There's hurting cats and then there's
39:14 managing the black bar for Kyle.
39:19 I'd take the hurting cats any day.
39:23 Oh man. Okay. So So
39:26 in
39:31 in this thing, whatever this called in
39:33 Notebook LM over here to the right,
39:36 these are all these different outputs
39:37 you can do. You can do audio overviews,
39:40 you can do video overviews, you can do
39:42 mind maps, you can do flashcards,
39:44 reports. So, one of the things you can
39:46 do is an infographic.
39:49 And so, you can do landscape, portrait,
39:53 or square. You can do concise, standard,
39:56 or detailed. And then you can do all
39:59 these different um looks and feels.
40:03 And so, I went over and I did bricks,
40:05 which is Lego.
40:08 And I think I did detailed. And so, I'll
40:11 just generate this one. We'll see what
40:12 that turns into.
40:14 So, I did a bunch see that my thing just
40:21 All right.
40:24 It could it this very possibly could be
40:27 an issue with the 72 tabs I have open.
40:31 So, so let me I'm going to close the
40:33 window with all the tabs on it.
40:44 That's so good.
40:49 Okay, now we'll go to notebook LM
40:54 and we'll see if it it might be that my
40:56 memor is just hosed for for uh for
41:00 Chrome. So So this might not go well
41:02 tonight because I might not be able to
41:04 share my screen. Okay.
41:08 um back to the seven economies. And so
41:10 that thing's still generating. So here
41:12 are the images that I created.
41:16 There's one of them. This one wasn't
41:18 bad. So So the seven economies.
41:21 Oops.
41:31 Let's see.
41:33 How do I
41:37 Let me download this actually.
41:44 Download.
41:48 Okay, I'll just download all these and
41:50 then we'll open them in a way that's
41:52 easier to look at.
42:03 If you haven't played with Notebook LM
42:04 before, it's it's it's well worth your
42:07 time to explore. There's there's so much
42:10 you can do in it that it it's kind of
42:13 it's a bit overwhelming.
42:20 Am I in preview? I am. Okay. So, the the
42:24 seven economies. So, this one's kind of
42:26 cool. the analog economy focused on
42:28 human authenticity and physical craft
42:30 where value lies in being unmistakably
42:33 humanmade and and it you know does a
42:35 nice little little job there. The legacy
42:38 economy
42:40 um operates with traditional org charts
42:43 and workflows experiencing a slow fode
42:46 fade as the world accelerates around it.
42:49 Right?
42:51 The efficiency economy uses AI tools to
42:54 make current systems faster without
42:55 changing the underlying business
42:57 structure. The transition economy, messy
42:59 but necessary state of experimentation
43:01 where organizations actively learn new
43:04 operating models to survive the shift.
43:06 The AI or aggressor economy companies
43:09 that burn the org chart and aggressively
43:11 bu rebuild their entire structure around
43:14 AI capabilities. The AI native economy
43:17 new organizations built from scratch
43:19 with AI in their DNA where small teams
43:22 teams achieve massive output through
43:24 fluid collaboration and then the multi-
43:26 aent operator economy single human
43:30 architect managing dozens of virtual AI
43:33 agents to achieve alien levels of speed
43:35 and scale. So those are those are the
43:38 seven things and this is not a bad
43:40 infographic. It's actually not bad. Um,
43:43 and in fact, maybe May actually, you
43:46 know, maybe one of the things that I'll
43:48 do is play around with
43:53 sharing different flavors of the same
43:55 thing. Um, yeah, that's fascinating.
43:59 Okay, I don't I don't quite know what
44:00 I'm going to do yet. Okay, so that's
44:01 that one.
44:04 This one is one that I just I hate the
44:07 the style of illustrations,
44:10 but it's like it's really
44:14 informationri like the analog economy,
44:17 the premium of authenticity, the hard
44:20 truth ceiling is limited. I think
44:25 I don't know what ceiling means there.
44:27 That could be selling or ceiling as in
44:29 the ceiling.
44:30 But I just this one doesn't like the
44:34 whole point of infographics is they're
44:36 supposed to make things more clear like
44:39 like this one is it's clear there's
44:41 seven economies they've got these
44:43 attributes to them and then
44:47 you know this one's like it's a lot like
44:50 I've got to study that. So I didn't like
44:53 that one.
44:55 Then this one I hated.
45:01 Like this is an anime one and I just
45:03 hated it. I just I don't know. And this
45:06 is kind of This one is the closest one
45:08 to what I asked for. I said there's
45:11 going to be like seven vertical columns
45:14 and there's sort of a world in each
45:16 column in each lane. And I think this is
45:19 only six. One, two, three, four, five,
45:21 six. So this is the seven economies of
45:23 which it gave us six. So that's bad. Tik
45:28 Tok pin. I wonder if it can put it in
45:31 one site and makes different versions.
45:34 Well, that's what we're going to go do
45:35 in of the photo. That's what we're going
45:37 to go do in uh in uh what you call it
45:44 um
45:47 AI Studio in Gemini.
45:50 So, here's the one I got that I just
45:53 [ __ ] love. Like, I love the
45:55 information design of it, right? Like,
45:58 the two slowest economies don't have
46:00 these offramps. I don't know where these
46:02 go, but there's just something visually
46:04 interesting that these two are like
46:06 islands. And this one is the analog
46:09 economy, and this is the one that we're
46:10 like, we're not going to deal with AI at
46:12 all. [ __ ] AI. [ __ ] we're just doing
46:14 what we're going to do, and we'll run it
46:16 into the ground. And this one's like,
46:17 I'm going to go grow blueberries and sit
46:19 on a bench. And then all these other
46:21 ones are using AI in some way. And then
46:24 it like it got that these four are on
46:27 one kind of future and that these three
46:30 are like AI powered and they're taking
46:32 off into the future. So like that 90°
46:36 angle is just a super cool information
46:38 design. The fact that these things sort
46:41 of go to here and then zoom off into the
46:43 future. Super cool.
46:46 Except there's like [ __ ] like
46:50 like this word
46:54 authenticity, physical craft, and local
46:58 Sam Nundry
47:02 6 a.m. Nundry over digital speed.
47:07 Notebook LM did that. Yes, it did. Like
47:10 Notebook LM designed like the analog
47:13 economy. Everyone's selling fruit. It's
47:15 like little fruit stands. It's perfect.
47:18 The existing economy looks like every
47:20 office that you see today,
47:23 you know? It's it's super cool. And it
47:26 did all this stuff over here. So So So
47:28 that one I really like. So that's the
47:29 one we're going to try to fix. Let me go
47:31 back to Notebook LM for a second and
47:33 look at the new thing. We got six
47:35 emerging AI era economies. Why did it
47:38 say six?
47:40 I think J Jason was talking about a
47:42 decohare station. Oh, maybe you could do
47:44 that.
47:47 The analog. Why did this only do six?
47:50 That's bizarre.
47:54 Um,
47:56 let me do infographic. Um,
48:00 we're going to do bricks again. I'm
48:02 going to say
48:05 there are seven economies
48:09 in the
48:11 up in the attached in the sources
48:18 of this notebook.
48:22 Read the article
48:25 and make
48:28 a clear infographic
48:34 that
48:37 I don't know makes
48:41 the ideas instantly
48:44 recognizable. The fact that it got it
48:47 instantly recognizable. The fact that it
48:50 got it so wrong
48:53 is a really good example of like I
48:57 really like this image, but rather than
48:59 trying to get notebook LM to regenerate
49:03 this with with fixed [ __ ]
49:09 I don't we're going to we're going to go
49:12 over to to I think this is going to be a
49:15 frustrating night for me because here's
49:17 my goal. My goal is I want something
49:19 this clear.
49:21 Um, the Legos are not bad, but I would
49:24 love to have a version of this that's
49:25 not Legos. It's something else, but it
49:27 it's the same basic information design.
49:30 Um, so I think we can do that. I want it
49:32 to be more simple. I don't want it to
49:34 have all these fancy paragraphs
49:36 underneath each thing.
49:39 So, we got some work to do. like the
49:41 transition economy. It's got like a
49:43 bunch of construction projects, which is
49:45 not quite what I had in mind, but it
49:48 might be fine, but I don't know.
49:52 And if you're like, Kyle, are you
49:54 whining? I'm kind of whining
49:57 because I don't really know what I'm
49:59 doing and I don't really know what I
50:02 want. And this is one of the things that
50:04 I'm learning in the AI salon mastermind
50:07 practice
50:08 is that when you don't know what you
50:10 want, you just spend hours and it's very
50:13 stressful and it's very
50:19 not good.
50:21 It is Monday. I could just go off on a
50:24 tangent. I might do that.
50:29 Okay. I like Legos. Don't know what you
50:33 want. Welcome to my world. Yep, that's
50:36 it. That is it.
50:45 Sandwichery.
50:47 Okay.
50:49 Did this thing finish yet? I want to see
50:51 this one more infographic before we go
50:53 off. Maybe it's going to get it
50:54 brilliant this time,
50:56 but it's it's going to take a while,
50:58 isn't it? Yeah, it is. It is. It is.
51:01 Okay. So, what we're going to do is
51:02 we're going to go to AI Studio.
51:06 Follow, play along if you want to, kids.
51:08 Aistudio.google.com.
51:10 I've got a link, a paid API key
51:14 to Nanobanana 2.
51:19 All right. And then I'm going to upload
51:21 my little
51:26 seven futures thing.
51:29 Where did I put it? There are seven
51:30 economies.
51:32 Seven- economies
51:36 desktop Mac.
51:46 Maybe I didn't save it. Huh?
51:52 Okay. Four is
51:57 seven economies.
52:00 Okay.
52:04 All right.
52:06 So, I'm going to put this over here
52:08 temporarily because I'm going to write
52:10 something down. So, let me open this.
52:14 Let me do new.
52:16 Let me come over here.
52:20 Let me go. Bang. Bang. Bang.
52:24 Oops.
52:26 Okay.
52:29 Oh, wait. You guys, let's see. How am I
52:33 going to do this? Here we go. Uh, how am
52:35 I going to do this?
52:38 Uh, okay
52:44 analog
52:48 economy.
52:50 So, what I'm doing right now is I'm
52:52 going to do some writing.
52:57 Um,
53:05 check out
53:10 of of tech.
53:13 Check into
53:19 check out of of tech. Sit on a bench.
53:23 That's not gonna That's not Let's see.
53:25 Check out
53:27 Let's see. Um,
53:36 screw AI.
53:39 Screw AI. Oh, this is it. I'm growing
53:45 blueberries.
53:54 Okay. I like that. The analog economy.
53:58 Screw AI. I'm growing blueberries. That
54:01 makes me very happy.
54:05 And then we'll make that itallic
54:08 black bar. Sir. Yes, sir.
54:13 What movie did we see the other night?
54:15 We watched uh this movie called War
54:17 Machine,
54:19 and it's about these army rangers. Well,
54:23 this this guy, he's an army dude. He's
54:25 going to go be an army ranger. He's
54:27 going to be the best army ranger because
54:28 he's he's got mental problems and so
54:31 he's going to be the best army ranger.
54:33 And then they go out on this final
54:35 what they call the march of death and
54:38 then it turns it turns from an army
54:41 training movie into a complete sci-fi
54:44 movie. It's a trip. Anyway, I don't know
54:46 why I just thought of that. Doesn't
54:48 matter. Okay. So I'm going to copy this.
54:52 I'm going to go like this.
54:55 So we're going to go one analog economy.
55:00 So this is the legacy economy.
55:05 So two is legacy economy.
55:16 So the legacy economy is
55:24 Like I'm I know AI is out there, but I'm
55:27 choosing not to use it. Um
55:33 I This is it. I don't need no
55:38 stinking AI.
55:42 Stinking and I think we do apostrophe
55:45 AI.
55:47 Um,
55:51 business as usual.
55:56 All right, that's that economy.
56:00 Beautiful. Copy.
56:05 All right. So, this is
56:09 three.
56:13 This is the efficiency.
56:22 Oh, that's interesting. So, in the
56:25 infographic, it has the word the in
56:28 front of all the economies, the legacy
56:30 economy, the efficiency economy.
56:34 So, I'm going to get rid of that. So
56:36 efficiency
56:39 economy
56:43 AI makes
56:47 uh
56:54 AI is cool
56:56 makes
57:01 our business more
57:05 efficient. efficient.
57:13 All right.
57:21 So, this one is the transition economy.
57:28 So, this one is So, the transition
57:30 economy is an interesting one. So, so
57:33 the transition economy is not only am I
57:36 using AI to make my business more
57:38 efficient, I'm also going to do some
57:41 innovation. Like I'm gonna I'm gonna
57:51 This one's going to be AI is the future,
58:01 but I still have a business
58:05 to run.
58:11 Nah, that doesn't sound right.
58:20 Um,
58:28 AI rocks. Now, let's see.
58:32 I'm
58:48 Someone can help me with this. So, the
58:51 transition economy is businesses that
58:55 understand AI can make them more
58:57 efficient, but they're also doing some
58:58 innovative things. They're going to
59:00 basically keep their same business model
59:02 moving forward, but they're going to be
59:03 doing innovative things within that
59:05 model.
59:10 So, right now, I've got the analog
59:11 economy.
59:13 Screw AI. I'm growing blueberries. I
59:16 [ __ ] love that one. The legacy
59:18 economy. I don't need no stinking AI.
59:20 Business as usual. The efficiency
59:23 economy. AI is cool. It It makes our
59:27 business more efficient.
59:29 And so the transition economy
59:33 um
59:35 it's like it's like
59:38 um
59:59 Uh,
1:00:01 let's see.
1:00:05 Oh, let's go ask Let's go ask uh what
1:00:07 you call it.
1:00:12 Let's go ask
1:00:15 Notebook LM
1:00:17 for the Okay, wait. Okay, hang on. Go
1:00:21 back over here. We're going to grab
1:00:22 these three.
1:00:24 Ah, here's what we'll do. I know what
1:00:26 I'm going to do. Okay. Okay. Um, I need
1:00:30 some copy
1:00:32 writing help.
1:00:35 I want to make the
1:00:41 um quotes
1:00:46 from
1:00:47 each
1:00:50 economy.
1:00:53 more um humorous
1:00:57 and
1:00:59 pathy
1:01:01 and crystal clear
1:01:08 what the attitude
1:01:12 of people in that economy
1:01:17 is.
1:01:20 For example, here are the first
1:01:24 three.
1:01:27 Paste that in there.
1:01:30 Please
1:01:33 take a crack at the next four
1:01:39 economies
1:01:41 based on
1:01:44 these.
1:01:48 Uh uh uh
1:01:52 I would have asked Claude. I'm going to
1:01:54 go to Claude. But the problem with if I
1:01:56 go to Claude, I've got to like I think
1:02:00 that I did this in chat GPT. So I think
1:02:02 I'll do it in chat GPT
1:02:05 because I've got to I've got to upload
1:02:07 it as a a new whatever you call it.
1:02:12 The transition economy. I have no idea
1:02:15 what we're doing, but we're definitely
1:02:16 doing it with AI now. That's kind of
1:02:18 fun.
1:02:21 I have no idea what we're doing.
1:02:29 I have no idea. I have no idea what
1:02:31 we're doing, but we're definitely doing
1:02:33 it with AI now. That's pretty cute. The
1:02:35 aggressor economy. Grab the match. Grab
1:02:38 a match. We just burned the org chart
1:02:41 and made the algorithm our new VP.
1:02:43 That's horrible.
1:02:45 Wait, you guys used to build companies
1:02:47 without AI? That's adorable. Okay, these
1:02:50 are shitty. These are shitty. Okay, so
1:02:53 let's go to let's go to chat GPT because
1:02:56 I think that's where I did the seven
1:02:58 economies.
1:03:01 Um, did I do the seven economies inside
1:03:04 the great repurpose? I think I did.
1:03:07 No,
1:03:09 maybe I did them over in Claude. Yikes.
1:03:14 remember where your [ __ ] is. Hey Cindy
1:03:16 [ __ ] I'm not following your process. I
1:03:20 don't know where any of my [ __ ] is. Um,
1:03:22 let's see. Seven economies.
1:03:35 Seven economies of AI.
1:03:40 So, we're going to do GPT 5.4 thinking.
1:03:49 Okay, I did do it in chat. GPT. Okay,
1:03:51 great. Perfect. Okay, so um I want to
1:03:56 create
1:03:57 um
1:04:00 pathy memorable
1:04:03 quotes
1:04:05 from
1:04:10 A persona
1:04:14 from each
1:04:19 makes the attitude
1:04:24 in that economy.
1:04:28 Crystal clear to a reader.
1:04:33 who will
1:04:36 self select
1:04:40 into one of the seven
1:04:43 or yeah that's good enough into one of
1:04:46 the seven
1:04:47 I am happy with these
1:04:53 first three but stuck on the
1:04:59 transition economy me
1:05:04 which
1:05:08 straddles
1:05:09 the
1:05:12 uh which
1:05:14 embraces
1:05:16 AI innovation but still
1:05:20 is committed
1:05:23 to
1:05:30 their current model and
1:05:35 trajectory.
1:05:49 Give me a new
1:05:53 4 through seven
1:05:55 and let me know. Uh, give me a new 4
1:05:59 through7
1:06:01 based on
1:06:05 these.
1:06:07 Let's just we'll just go there.
1:06:10 All right.
1:06:12 I understand. Listen, I understand that
1:06:14 this is boring. You haven't m missed
1:06:16 much. Steo's in the house.
1:06:27 Oh, for the international audience, if
1:06:31 you think we're just starting, we're an
1:06:34 hour into this thing.
1:06:38 One of the downsides of living in
1:06:40 Australia
1:06:42 is that
1:06:44 you don't know what's going on in
1:06:46 America. And and we we make [ __ ] up.
1:06:52 Like we decided like 250 300 years ago
1:06:56 farmers need more light sometimes or not
1:07:00 sometimes.
1:07:01 And then and you didn't do that. And so
1:07:05 we just change our clocks randomly. And
1:07:08 so apparently it happened this past
1:07:10 weekend because I woke up one morning
1:07:11 and it was dark and it shouldn't have
1:07:13 been and I couldn't figure it out
1:07:17 cuz we now we now have phones that
1:07:19 automatically update our little hour
1:07:21 hands.
1:07:25 Anyway,
1:07:26 sorry about that. Uh we did that thing.
1:07:30 We changed our clocks and you didn't.
1:07:32 So, you're an hour late. It's not on
1:07:36 you. It's us.
1:07:41 Oh my god. Okay.
1:07:45 Transition economy. AI changes
1:07:46 everything. We're evolving without
1:07:48 blowing ourselves up.
1:07:52 God, that sucks. Okay, we'll we'll AI
1:07:55 aggressor. The old org chart is dead.
1:08:00 the old well burn the org chart was
1:08:03 better AI native why would we build it
1:08:05 the old way it's not just okay um let's
1:08:08 say
1:08:09 dear chat GPT
1:08:12 these four suck and are boring
1:08:20 um I was told you were new and improved
1:08:26 but My crappy
1:08:30 little human brain
1:08:35 can write better
1:08:38 than this.
1:08:45 Yes, I strongly recommend you you put
1:08:48 down your large language models. You
1:08:51 shame them as appropriate.
1:08:56 Um,
1:08:59 I want them more clear,
1:09:03 more pathy,
1:09:06 more clever.
1:09:09 Um, but not
1:09:14 over the top. Um,
1:09:20 the old org
1:09:22 chart is dead.
1:09:27 For example,
1:09:31 would be better as
1:09:35 burn the org chart.
1:09:48 Let's reinvent ourselves
1:09:53 or something like that.
1:09:58 Um,
1:10:01 try again.
1:10:03 And this time,
1:10:06 why my This is my favorite put down ever
1:10:09 in my life. And this time, why don't
1:10:13 you try it
1:10:16 as if you had talent?
1:10:21 I actually heard an acting teacher say
1:10:23 that to an actor after a really bad
1:10:26 scene.
1:10:30 Acting is brutal.
1:10:34 Fair. Those were limp.
1:10:38 Transition economy. AI is changing the
1:10:40 game. We'd better learn the new rules.
1:10:42 This is good. That's good. AI aggressor
1:10:45 economy. Burn the org chart. Let's
1:10:47 reinvent ourselves. I wrote that one.
1:10:49 Thanks, Chat GBT, for confirming my
1:10:52 genius.
1:10:54 AI native economy.
1:10:58 Why hire for skills when AI has them?
1:11:00 It's not quite right, but that's not
1:11:01 bad. Multi-agent operator economy. It's
1:11:04 not a startup. It's me and 50 employees
1:11:06 who never sleep. All
1:11:08 right. Okay.
1:11:13 All right. You know what? This is enough
1:11:14 for me to get started.
1:11:20 Go back over to notes.
1:12:18 transition economy. All right, this is
1:12:20 five.
1:12:26 Oh, god damn it.
1:12:34 Six.
1:12:43 Seven. Okay.
1:12:46 AI is changing the game.
1:12:49 We'd better learn the new rules. Burn
1:12:52 the org chart. Let's reinvent ourselves.
1:12:55 Why Why hire for new skills when Let's
1:12:58 see. Um,
1:13:01 the AI native economy is going to be
1:13:03 like
1:13:21 you remember that crocodile dundee line.
1:13:24 That's not a light knife. This is a
1:13:26 knife. And he pulls out the big knife.
1:13:31 The AI native economy is kind of like
1:13:33 that
1:13:35 where it's like
1:13:48 the way
1:13:53 we used to do things
1:13:59 is a joke.
1:14:03 There's a new
1:14:09 sheriff in town is not right.
1:14:15 Ah, this is it.
1:14:18 The way we used to do things as a joke.
1:14:20 Watch this
1:14:24 exclamation point. All right, that's
1:14:26 close.
1:14:27 And then this last one.
1:14:31 Multi- aent operator economy. It's not a
1:14:35 startup. It's me and 50 employees who
1:14:37 never sleep.
1:14:54 me.
1:14:57 50 agents
1:15:03 who work 247
1:15:18 multi- aent operator economy. What would
1:15:21 someone in that economy say?
1:15:34 They're going to be gloating.
1:15:37 They're going to be gloating.
1:16:04 Oh, this is it.
1:16:08 Yes,
1:16:09 I manage
1:16:15 23 companies now.
1:16:19 Period. Why do you ask?
1:16:24 That's it. Yes, I manage I manage 23
1:16:27 companies now. Why do you ask? Like the
1:16:30 the people in the multi- aent operator
1:16:32 economy are going to they're not going
1:16:34 to understand why everyone else isn't
1:16:36 doing this. Everyone else is going to be
1:16:38 like, uh, aren't you tired? No. I I just
1:16:43 work two days a week now and I have
1:16:45 these 23 businesses. What? Yeah, the one
1:16:49 that's six months old is doing pretty
1:16:50 good. It's It's doing $50 million a
1:16:52 year. Huh?
1:16:58 Okay. So, here's what we're going to do.
1:17:01 We're going to take all these.
1:17:04 Wait, what?
1:17:07 Why?
1:17:11 Jesus Lord.
1:17:24 I'm just going to manually number these.
1:17:26 Can I do that without No, I can't. It
1:17:28 automatically turns it into a number.
1:17:32 So, let's do Can I do this? Nope.
1:17:38 All right, fine. Whatever. We'll just do
1:17:40 We'll do it live. We'll just do it
1:17:42 without numbers. I just have a feeling
1:17:44 it's going to screw things up.
1:17:46 Okay,
1:17:48 now
1:17:50 we're going to upload our little Lego
1:17:52 thing.
1:17:56 And then I'm going to say I want the
1:17:58 aspect ratio to be 16 by9. Do I want to
1:18:01 do this as a 4K image?
1:18:06 I think I want to do this as a 4K image.
1:18:12 We'll try it.
1:18:17 Okay,
1:18:20 I want to maintain
1:18:24 I want to create an image
1:18:30 that is a
1:18:33 refined version of this one. The title
1:18:39 area is fine.
1:18:43 I love the core layout
1:18:48 and
1:18:49 labels.
1:18:57 I want to improve
1:19:00 the
1:19:02 fidelity of the
1:19:09 um mini figs.
1:19:13 and
1:19:19 Lego Worlds.
1:19:28 And I want
1:19:32 to remove
1:19:37 a lot of the
1:19:44 I don't know what I want to do. I don't
1:19:45 know what I want to do. I want to
1:19:47 improve the fidelity of the mini figs
1:19:50 and Lego worlds.
1:19:55 The text at the very bottom
1:20:00 of the image is fine, but check for
1:20:04 typos.
1:20:09 The
1:20:12 major change is that I want
1:20:17 to use the following text
1:20:23 for the
1:20:26 seven economy
1:20:28 titles and
1:20:36 um quotes
1:20:39 Tik Tok question for writing a technical
1:20:42 paper comparing various platforms
1:20:47 with source with source which platform
1:20:50 would you use? Um
1:20:55 I mean honest to God at this point
1:20:58 perplexity is not bad. Notebook LM's
1:21:01 probably not bad. The nice thing about
1:21:02 Notebook LM, you can just upload all the
1:21:04 papers, tell it to write a report
1:21:07 comparing them all, do infographics,
1:21:10 like you can do all sorts of [ __ ] with
1:21:12 Notebook LM,
1:21:14 but also I kind of feel like like with
1:21:16 Claude, you could you could create an
1:21:18 interactive
1:21:20 um thing sort of comparing the papers.
1:21:23 You could do the same in chat GPT. Like
1:21:25 I I just I don't feel like you can go
1:21:27 wrong at this point.
1:21:29 Um,
1:21:31 just upload your sources.
1:21:34 I'd go Claude, Gemini, OpenAI,
1:21:39 Perplexity,
1:21:44 Notebook, LM, like all of those.
1:21:48 I don't think you can go wrong.
1:21:49 Actually, you know, you know what would
1:21:50 probably be the thing to do because a
1:21:53 lot of how these things write is so
1:21:55 subjective.
1:21:58 If you've got access to multiple
1:22:00 platforms, I would basically do the
1:22:02 exact same
1:22:04 run across multiple platforms. Upload
1:22:07 your source images, figure out how you
1:22:09 want them compared, what you want the
1:22:11 analysis to be. Have Claude do it, have
1:22:13 Chat GPT do it, have Perplexity do it,
1:22:15 have Notebook LM do it, just see which
1:22:17 one you like better because they're all
1:22:20 good enough at this point that you're
1:22:21 going to get some version of usable. And
1:22:23 then but they're also all janky enough
1:22:25 that you're gonna be like I got that
1:22:26 wrong and that wrong and just see the
1:22:28 one you hate the least. Okay. is that
1:22:34 the major change is that I want to use
1:22:35 the following text for the uh seven
1:22:38 economy titles and quotes and remove the
1:22:44 detail paragraphs
1:22:49 that are currently below the quotes.
1:22:56 And then I'm going to paste in
1:22:59 all of these things.
1:23:14 What time is it? We're getting there.
1:23:18 Okay. all this
1:23:20 I
1:23:24 the chances of me not being so gravely
1:23:27 disappointed I want to smash things is
1:23:29 very low
1:23:32 like I've spent the last 45 minutes
1:23:35 essentially writing a prompt doing a
1:23:37 little bit of creative writing a little
1:23:39 bit of hey I can't use my brain you
1:23:42 write [ __ ] and it wrote shitty [ __ ] and
1:23:44 then so that was half an hour of just
1:23:46 getting it to not write shitty [ __ ]
1:23:49 And now we're at the point where I'm
1:23:50 about to hit the submit button and I and
1:23:53 I I just I'm going to predict that I'm
1:23:56 going to hate this.
1:23:58 It's going to make me very cranky.
1:24:01 Anybody want to take any
1:24:06 I'm not trying to compensate for
1:24:08 anything honest. Oh my god. Um awesome
1:24:12 people do awesome things.
1:24:14 Signsofawome.com. All right. Someone's
1:24:17 in promoting their site. Um,
1:24:24 okay. Here we're going to go. So, let me
1:24:26 just read the prompt again. See if I got
1:24:27 this right.
1:24:30 Oh, that was about economy 7. Oh. Oh,
1:24:33 I'm not trying to compensate for
1:24:35 anything honest. That's pretty good.
1:24:37 That's pretty good. Okay. I want to
1:24:39 create an image that's a refined version
1:24:41 of this one. The title area is fine. I
1:24:45 didn't write that right. The title area
1:24:47 is area is fine.
1:24:50 I love the core layout and labels.
1:24:54 I want to improve the fidelity of the
1:24:56 mini figs and Lego worlds. The text at
1:24:59 the very bottom of the image is fine,
1:25:01 but check for typos. Let me do this as a
1:25:04 new I don't think paragraphs matter, but
1:25:06 let's try it anyway. The major change
1:25:11 is that I want to use the following text
1:25:14 for the seven economy titles and quotes
1:25:16 and remove the detailed paragraphs that
1:25:19 are currently below the quotes. And then
1:25:21 there's the there's the things.
1:25:24 I think this is good.
1:25:28 I'm going to be so [ __ ] pissed if it
1:25:31 sucks. Here we go.
1:25:38 The guys in Economy 7, the guys in
1:25:40 Economy 7 are going to be just obnoxious
1:25:43 little [ __ ]
1:25:48 They're going to be insufferable.
1:25:51 Do you realize that when you have a
1:25:53 conversation with someone who's in
1:25:54 economy 7, you're going to be like
1:25:56 toiling along at whatever your blueberry
1:25:59 farm if you're in economy 1 or you're
1:26:01 like you're at your job you're like I
1:26:03 still got a job but I don't really do
1:26:04 what I used to do. I don't know if I
1:26:06 like it or not. You talk to someone in
1:26:07 economy 7. like, "Oh, yeah. You know
1:26:11 what? Economy 7's going to be like, you
1:26:13 know how like on podcast they have like
1:26:16 the only fans girls that are they're
1:26:18 like, "Jenna, how much did you make last
1:26:22 month?" Oh, I don't know. $3.5 million.
1:26:31 That's what it's going to be like. the
1:26:33 guys the the the guys in Economy 7.
1:26:37 That's what they're going to be like.
1:26:39 And the women, it's going to be
1:26:40 obnoxious.
1:26:42 All right. Did this work? Oh my god. I
1:26:44 think this actually worked.
1:26:49 I think this actually worked. Hang on.
1:26:51 Let me download this.
1:26:54 I Okay, I am seriously not
1:26:58 prepared for the fact that this worked.
1:27:05 the analog economy. Screw AI. I'm
1:27:08 growing blueberries.
1:27:10 That's really good. Although there's no
1:27:12 blueberries down there.
1:27:15 Did it Did it Did it do good with the
1:27:19 Legos? They're still sort of janky and
1:27:22 not really Lego crisp.
1:27:25 Adaptive learning, mess, messy internal
1:27:27 uncertainty, improved margins,
1:27:30 reinvention by competitors, slow decline
1:27:33 talent loss, stability over change,
1:27:35 limited scaling and income. This is
1:27:37 actually really good. The legacy
1:27:40 economy, I don't need no stinking AI.
1:27:42 Business as usual.
1:27:45 That's good. The efficiency economy. AI
1:27:48 is cool. It makes our business more
1:27:50 efficient. The transition economy. AI is
1:27:53 changing the game. We'd better learn new
1:27:55 rules. Good.
1:28:00 The established and evolving paths.
1:28:04 Okay.
1:28:06 AI first frontiers. The aggressor
1:28:09 economy. Burn the org chart. Let's
1:28:10 reinvent ourselves. Radical
1:28:13 reconstruction. Massive internal
1:28:14 disruption. Radical reconstruction
1:28:17 twice. But we can we can actually remove
1:28:20 that one in Photoshop easily. The AI
1:28:23 native economy. The way we used to do
1:28:25 things was a joke. Watch this. And then
1:28:28 the multi- aent operator economy. Yes, I
1:28:31 manage 23 companies now. Why do you ask?
1:28:39 This worked.
1:28:41 Holy [ __ ]
1:28:43 I'm kind of in economy 7 now. Most of my
1:28:46 time is directing tasks and bots.
1:28:49 Yeah.
1:28:52 Which future do you choose? There are no
1:28:54 wrong answers.
1:28:56 I can't believe this worked. Okay, so
1:28:58 here's what we're going to do. So, this
1:28:59 is downloaded now. We're going to go
1:29:00 into Photoshop. I'm going to remove the
1:29:03 Notebook LM credit on the bottom because
1:29:08 screw them. Am I paying for Yeah, I'm
1:29:11 paying I'm paying a lot of money to
1:29:13 Google. They don't need their [ __ ] ad
1:29:14 on my chart.
1:29:22 I just I can can I just say like how
1:29:27 much I love being a Gen Xer and just not
1:29:29 giving a [ __ ]
1:29:32 It's so good. It really is. It's just
1:29:36 like Yeah, I know. I triggered you.
1:29:39 Sorry.
1:29:46 I can't believe this worked. There are
1:29:48 no major typos.
1:29:52 This really good. It's really [ __ ]
1:29:54 good. Okay,
1:29:57 so now we're in Photo Slop.
1:30:02 We're going to zoom into the bottom
1:30:03 here. We're going to do a little
1:30:07 highlight of notebook LM. And then we're
1:30:09 going to generative fill remove
1:30:14 logo here.
1:30:16 And that should just turn that to white.
1:30:18 Please check your internet connection
1:30:21 and try again. God damn it.
1:30:25 Exfinity.
1:30:27 Hang on. I think I got to quit Photoshop
1:30:29 and come back in.
1:30:33 I'm so exhausted.
1:30:37 This is good. This is really good.
1:30:41 This is really good. Great graphics,
1:30:43 Kyle. Thank you.
1:30:48 I can't believe it worked. I like I'm
1:30:52 I'm almost pissed.
1:30:55 It's meltdown Monday, right? So, I have
1:30:59 the prerogative to just lose my [ __ ] at
1:31:02 any moment. Someone could ask me about,
1:31:04 "Do you like puppies?" and then I'll
1:31:06 just scream for half an hour, right,
1:31:08 about puppies
1:31:10 and how they've ruined the world.
1:31:15 I knew in my heart
1:31:18 that what I wanted to accomplish was
1:31:21 going to fail.
1:31:23 And so I was actually kind of prepared
1:31:25 and excited to lose my [ __ ] over how bad
1:31:28 it failed and just tell you all to not
1:31:31 worry about AI. It's all just a bubble.
1:31:34 No, nothing to look at here. Move on
1:31:36 with your lives. Stop watching the show.
1:31:38 Like, I was ready to just go there and
1:31:41 then it [ __ ] worked on the first try.
1:31:45 Now I'm kind of pissed off. I lost my
1:31:48 opportunity to scream about how bad it
1:31:51 was.
1:31:53 And this is why there's going to be
1:31:54 seven economies,
1:31:57 cuz some people are going to discover,
1:31:58 "Holy [ __ ] this stuff's good now.
1:32:06 Meta Meltdown Monday. I'm mad that I
1:32:09 couldn't be mad at how bad it was. Yes,
1:32:12 exactly. This is This is nested rage.
1:32:17 The angry Gen Xer in the corner office
1:32:19 is angry that he can't be as angry as he
1:32:22 was. Yeah, you guys you guys got it
1:32:23 right. What am I supposed to do here?
1:32:26 What's my Oh, do I have any value here
1:32:28 anymore? No, you're just going to get it
1:32:30 perfect every time. Thanks.
1:32:32 [ __ ]
1:32:39 This This makes me happy how angry I am
1:32:42 that that I got everything right.
1:32:48 Oh, good lord.
1:32:50 No more meltdowns. There's always going
1:32:52 to be meltdowns. Okay.
1:32:56 Oh, I think that's that's the right one.
1:32:59 That's it, right? Yeah. Okay. Here we
1:33:02 go. Let's zoom in. Let's try it again.
1:33:04 We'll We'll do it live.
1:33:10 Okay. Here we go.
1:33:13 How excited are we?
1:33:17 All right. Generative Phil.
1:33:20 Um, remove the logo.
1:33:26 Please check your internet connection
1:33:27 and try again. Yeah, I'm streaming live.
1:33:29 I've got an internet connection.
1:33:31 I wonder if their shit's down. Oh, okay.
1:33:34 You know what? You know what we'll do?
1:33:36 Hang on. Hang on. We don't have to wait.
1:33:38 Here's an important lesson, people.
1:33:42 I just found myself in a trap. The trap
1:33:44 was you got to use AI for everything.
1:33:47 I've got basic Photoshop skills. So, we
1:33:50 don't actually need to use AI for any of
1:33:52 the things I want to do. So, I'm going
1:33:53 to get the rubber stamp tool. If you've
1:33:55 never used Photoshop, you're going to
1:33:57 get an awesome lesson right now.
1:34:01 We're gonna we're going to click here
1:34:03 with the option key and then we're going
1:34:05 to go down here and we're just going to
1:34:08 start wiping this [ __ ] out,
1:34:10 you know, like a photo shopper.
1:34:18 Look at that. He's got [ __ ] skills.
1:34:25 We don't need no stinking AI.
1:34:30 Okay. Brutal alien speed competition.
1:34:32 One person, many agents. Human
1:34:35 coordination bottleneck. Fluidity.
1:34:38 Fluidity and curiosity.
1:34:41 Where? Here we go. Radical
1:34:42 reconstruction. Which one do we want to
1:34:44 get rid of? We'll get rid of this one up
1:34:46 here. Okay, we'll go.
1:34:57 I don't I you know I watched it and he
1:35:00 was I first of all it took him forever
1:35:02 to do anything like I don't know how
1:35:04 anyone watches that and then he finally
1:35:07 it seemed like he got done what he
1:35:10 wanted to get done got done and then he
1:35:12 was upset. I just I don't understand it.
1:35:15 It's a very confusing kind of show. How
1:35:18 long have you been watching it? Three
1:35:20 years. Three years. Yeah. I don't I
1:35:23 don't understand.
1:35:24 We're going to do two
1:35:27 Two spires here. Why not?
1:35:31 Three out of 10.
1:35:34 He's got skills. How good is he? Three
1:35:37 out of 10.
1:35:41 All right, I think we're good. Are there
1:35:43 any other typos? This is I I I'm kind of
1:35:48 astounded. I think there are no wrong
1:35:50 answers. needs to be a different color.
1:35:52 It needs to be um
1:35:57 bigger. So, we're just going to get rid
1:35:59 of this
1:36:05 uh
1:36:06 and then we're going to get the
1:36:08 typographic tool. We're going to
1:36:09 actually type with typography.
1:36:12 Um what color?
1:36:18 Which future do you choose? I think
1:36:20 we'll do this blue. What are these
1:36:23 blues?
1:36:26 Okay, here's what we're going to do.
1:36:27 We're going to go make a color
1:36:30 from here. Do we like that? That's not
1:36:32 good.
1:36:38 Okay, we've got a color. Now, we're
1:36:40 going to go grab a font. We're going to
1:36:43 go grab a type tool.
1:36:46 Monserat. I think this is just
1:36:48 Helvetica. So, we're going to go
1:36:49 Helvetica.
1:36:53 Helvetica new. Oops.
1:36:56 Helvetica new. And then we're going to
1:36:58 do
1:37:00 what is this? We'll go medium.
1:37:05 Medium.
1:37:08 And then we'll go there. Oops.
1:37:13 Parentheses. There are no
1:37:20 wrong answers.
1:37:26 Okay,
1:37:28 go here. Here and go here.
1:37:32 go.
1:37:34 And then we're going to go.
1:37:43 I think that's good right there. Should
1:37:46 we do itallic?
1:37:51 I don't think it [ __ ] matters.
1:37:54 I think it needs to be bigger.
1:38:00 That's too big.
1:38:03 Shut up.
1:38:06 Okay.
1:38:08 Then we're going to grab this. We're
1:38:09 going to put it here. Do we want it
1:38:11 centered?
1:38:22 Do we want the seven AI economies? The
1:38:25 seven economies.
1:38:34 I don't know. I don't know. I don't
1:38:36 really care. We're just going to call it
1:38:38 the seven economies. Let people figure
1:38:39 it out.
1:38:42 This is on them.
1:38:45 They didn't invent this. So, this is on
1:38:47 them. This is their problem. You [ __ ]
1:38:50 figure it out. Okay,
1:38:53 we're good, right? I think we're good.
1:38:57 We've got a 4K image now. We've got a
1:39:00 big giant ass 4K image. We'll save it as
1:39:03 a JPEG so it'll save a little smaller.
1:39:07 Screw AI. I'm growing blueberries.
1:39:13 Legacy economy. I don't need no stinking
1:39:16 AI. Business as usual. The efficiency
1:39:19 economy. AI is cool. It makes our
1:39:21 business more efficient. The transition
1:39:24 econ economy. AI's changing the game.
1:39:26 We'd better learn the new rules.
1:39:29 The AI aggressor economy. Burn the org
1:39:31 chart. Let's reinvent ourselves. The AI
1:39:34 native econom economy. The way we used
1:39:37 to do things is a joke. Watch this.
1:39:40 That's feels very right. And then
1:39:43 multi-agent operator economy. Yes, I
1:39:46 manage 23 companies now. Why do you ask?
1:39:49 Okay. I We've got a winner. We've got a
1:39:52 winner. This is a This is a final.
1:39:56 Is that your final answer? Yes, Bob, it
1:39:59 is. Okay, we'll do We'll save this as a
1:40:03 PNG. So, we've got the PNG burn. So, I'm
1:40:06 going to go 7-Eonn
1:40:15 4K.
1:40:18 Save. And then
1:40:21 so we've got the PNG
1:40:24 non-compressed version of it.
1:40:27 And then we'll do export as JPEG.
1:40:37 Oh, I think daddy's got a problem with
1:40:40 that's PNG. So we're going to go JPEG.
1:40:48 And actually, let's we're going to make
1:40:49 this a little smaller. But this is 6,000
1:40:52 across. 3,000. That's too big. So, we'll
1:40:55 do
1:40:56 3500 across.
1:41:00 Wait, why did Oh, wait.
1:41:03 Oh, that's canvas size. Hang on.
1:41:09 Export as
1:41:18 JPEG.
1:41:20 I'm so excited about this. We'll do 3500
1:41:22 across
1:41:26 63%
1:41:28 by cubic
1:41:31 export. Oh, here we go. Yeah, six is
1:41:35 fine.
1:41:37 Export to JPEG.
1:41:40 So, we're going to do seven economies.
1:41:44 Where's the 4K one? Where did I do that?
1:41:46 Here we go. There it is. Final. We'll
1:41:50 call this final 2K.
1:41:54 That's a JPEG.
1:41:56 Okay.
1:41:59 Quit Photoshop.
1:42:03 No, we don't need to save that.
1:42:07 Yeah, this is much better. Okay. Good,
1:42:09 good, good, good.
1:42:11 Fantastic. Bob. Hey, Bob. Yeah. Uh, tell
1:42:16 them what they've won. Yeah, they uh
1:42:19 again, it's it's it's not a game show.
1:42:22 They No, no one's won anything.
1:42:25 That's fantastic. Okay, so here's the
1:42:27 JPEG. So, wait, how big is the JPEG? Is
1:42:29 it is it small enough that we can post
1:42:31 it anywhere? 1.6 megabytes. The other
1:42:33 one's 20 megabytes. Okay, 1.6 megabytes
1:42:36 is teenytiny. And let's see if it's high
1:42:39 enough quality to not be embarrassing.
1:42:42 Yes,
1:42:44 it's fine. The Legos are a little mushy.
1:42:48 Like the the people in in uh
1:42:52 in Legoland over in in the Danes. The
1:42:56 Danes are not going to be happy with the
1:42:59 crispness of the Legos.
1:43:02 But all I need it to be is in the
1:43:04 neighborhood. So this is really good.
1:43:07 This is a one. Yeah, it's a little
1:43:10 small. if you zoom way in. But you can
1:43:13 read everything just fine,
1:43:17 right? And then if I close that and open
1:43:20 up the big one,
1:43:26 this one should be much more crisper.
1:43:29 Much more bigger.
1:43:32 Yeah.
1:43:35 Decent.
1:43:37 All right.
1:43:38 All right. Bob, on the first attempt,
1:43:43 we needed to Photoshop two things.
1:43:47 I decided to add some typography,
1:43:50 change a little bit of typography,
1:43:53 but this is basically good to [ __ ]
1:43:55 go.
1:43:59 Boom.
1:44:02 All right,
1:44:04 I'm out of here.
1:44:06 Oh, wait. You know what I'm going to do?
1:44:08 because I know you're excited for me to
1:44:10 do this. I'm going to go to X and I'm
1:44:12 going to post this.
1:44:15 X.com
1:44:17 compose post. Took me right there. We're
1:44:21 going to go grab Do Let's grab the big
1:44:23 one. [ __ ] [ __ ] Elon Musk and his hard
1:44:25 drives.
1:44:28 Let's Let's see if it lets us.
1:44:31 Yeah. Okay. Um
1:44:36 updated
1:44:39 seven economies
1:44:44 info graphic.
1:44:51 Let's see now with
1:44:55 we'll go um pathier
1:44:59 pathier quotes
1:45:03 um less typos
1:45:10 typos
1:45:12 more pixels
1:45:17 I'm such an idiot pixels else.
1:45:23 And then we'll do these like a little
1:45:24 indented sort of situation
1:45:30 and then
1:45:32 pier quotes.
1:45:36 Let's go over to chat GPT
1:45:40 or no LinkedIn.
1:45:45 Is anyone still here or am I just
1:45:47 talking to myself? We've lost a lot.
1:45:50 Look, the I don't blame anyone. If you
1:45:53 if you have left or fallen asleep and
1:45:56 just your phone has has died, the
1:45:58 battery's dead, and you're just asleep,
1:46:01 that is the appropriate response. The
1:46:03 fact that anyone is still here astounds
1:46:06 me every night. Uh especially on nights
1:46:08 like tonight where I'm just kind of off
1:46:10 doing my own thing. But here we are.
1:46:14 Okay, I'm going to go to the posts.
1:46:18 And I'm going to
1:46:22 find the where is it? Seven economies.
1:46:27 Okay.
1:46:29 So, here's the article. We're going to
1:46:31 grab that URL.
1:46:34 We're going to go back to X. We're going
1:46:35 to say
1:46:39 here's
1:46:40 the article
1:46:43 that explains
1:46:48 how
1:46:49 AI is about to
1:46:53 shatter our shatter shatter
1:46:57 our world
1:46:59 into
1:47:01 Seven
1:47:08 distinct
1:47:13 economies.
1:47:19 There's that.
1:47:24 All right.
1:47:29 I wonder do I want to
1:47:33 make this image?
1:47:39 So, here's a question for all you for
1:47:42 anyone who's
1:47:44 social media friendly. So, I've got this
1:47:48 I've got this
1:47:51 um this article with this esoteric image
1:47:55 up here. Like, it's it's a cool
1:47:57 midjourney kind of esoteric image.
1:48:01 But, I'm thinking I should swap that out
1:48:03 for our new sexy infographic and then we
1:48:06 won't have a disparity.
1:48:08 I think I'm going to do that. Is that a
1:48:10 bad idea? Anyone? Anyone know social
1:48:14 media?
1:48:16 Yep, it's a bad idea. Or, yep, I should
1:48:18 do it. Dr. J, yep is a rough answer.
1:48:22 Is Is that what you do when you're
1:48:24 psychologicallying people? They're like,
1:48:26 uh, I got a I got a problem with my Do
1:48:29 it. I know nothing.
1:48:31 I got a problem with my mother. Dr.
1:48:33 Jay's like, yep.
1:48:38 Yep.
1:48:41 Go on. How does that make you feel? Yep.
1:48:48 That's really good. Okay. So, so let's
1:48:51 go fix that. So, what we're going to do
1:48:53 is we're going to go edit article. I'm
1:48:54 going to relaunch this thing, too, cuz
1:48:56 [ __ ] it. Edit the cover. I'm going to
1:48:59 trash this one. We're going to upload
1:49:01 from computer. We're going to upload the
1:49:03 4K because again, we don't care about
1:49:06 Microsoft's hard drives. Screw them.
1:49:09 Seven econ economies. Which future do
1:49:11 you choose? I think this is the way to
1:49:14 go.
1:49:20 It's taking a while for it to upload
1:49:21 because I uploaded the big one
1:49:25 because I'm angry and I want to I want
1:49:27 to hurt I want to hurt Microsoft and
1:49:29 their servers.
1:49:35 Yes, it's definitely the way to go.
1:49:36 Okay. Seven economies. Okay. Um
1:49:41 there are seven
1:49:45 economies
1:49:47 coming.
1:49:50 Choose
1:49:53 any one you want
1:49:56 or even more than one
1:50:00 because I think what's going to happen
1:50:01 is
1:50:03 some people are going to be like screw
1:50:04 AI. I'm going to economy one to grow
1:50:07 blueberries. And then some people are
1:50:09 going to be like, I'm gonna go start up
1:50:12 23 companies in economy 7 and work two
1:50:15 days a week and hang out in economy one
1:50:18 where the cool people are.
1:50:21 And then and then the rest of the world
1:50:23 is going to be in economies 2 through
1:50:24 six just [ __ ] hating life.
1:50:29 Okay, we're going to update this.
1:50:34 This is good. This is really good. Okay,
1:50:37 so that now exists.
1:50:40 Updated seven economies infographic now
1:50:42 with pathier quotes, less typos, more
1:50:44 pixels. That's good. I like it. Here's
1:50:47 the article that explains how AI is
1:50:49 about to shatter our world in seven
1:50:50 distinct economies. Um, let's do this.
1:50:54 will say if you think
1:50:58 things
1:51:00 are messed up now
1:51:04 dot dot dot
1:51:06 that's good all right and then we'll do
1:51:09 we'll throw in we'll throw in a atcoal
1:51:12 we'll see if we can get Robert Scoble to
1:51:14 we'll do
1:51:16 we'll do Scoilizer we'll do Scoville see
1:51:19 if we can get him to pump this one up
1:51:22 post. Okay, this is good. That's good.
1:51:28 Um,
1:51:30 and I think what I'll do is I'm going to
1:51:31 copy this.
1:51:33 Copy. And then I'm going to go here and
1:51:36 I'm going to go here. I'm going to go
1:51:41 um
1:51:52 dear Mr. Scoble,
1:51:58 I'm so excited. I haven't I was excited
1:52:01 about this infographic before, but it
1:52:03 had such bad typos in it that any of the
1:52:05 AI haters would have been like, "It's
1:52:07 clear you made with AI, Mr. Shannon. Mr.
1:52:11 Shannon."
1:52:13 And now it's like
1:52:16 they'll still say that because it's
1:52:18 true. But at least there's not
1:52:20 ridiculous typos in it. Okay. Can we
1:52:28 could Could could LinkedIn just load
1:52:30 please? There we go. Okay, thank you.
1:52:33 Okay. Um, new and improved
1:52:37 infographic
1:52:42 for the seven economies
1:52:48 article.
1:52:51 Please share far and wide. If you're
1:52:55 watching this show right now,
1:52:58 do me a favor.
1:53:03 Go repost this.
1:53:06 Thank you. All right, I'm out of here.
1:53:08 It's almost 10:00. I can't believe it's
1:53:11 so basically so basically it took two
1:53:15 hours
1:53:17 to make an image that I probably could
1:53:20 have photoshopped in 20 minutes.
1:53:25 Shut up. But it's higher resolution now.
1:53:28 And we learned something. You can
1:53:30 actually do a thing.
1:53:33 Like I changed all the text and it
1:53:35 changed all the text and it got rid of
1:53:37 the stupid shitty overly complicated
1:53:40 stuff.
1:53:42 It's good. It's good. Good. Good. Okay.
1:53:46 Um yeah, I'm leaving. Bye. I'm
1:53:50 exhausted. I I can't even imagine. You
1:53:54 must be really exhausted. Wow, that
1:53:57 hair.
1:53:59 Hi. Hey. Hey. Name's Kyle Shannon.
1:54:02 Welcome to Sears. Uh interest you in a
1:54:05 washer dryer, maybe some uh some carpet.
1:54:09 Yeah. Fantastic.
1:54:12 That's That's unfortunate. That hair
1:54:15 tonight. Yeah.
1:54:18 All right. Bye. Have a good night.
1:54:23 Yes. Producer Brandon,
1:54:28 >> I was just waiting for you to sign off.
1:54:30 >> Oh, okay. Okay. Bye everybody. I'll see
1:54:33 you tomorrow.