3/6/2026 - Understanding the Seven Economies and Choosing Your Lane in an AI Driven Future

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0:00 See,
0:03 hey, Championy, what's up? What's
0:04 happening? What's happening, Champion?
0:09 What's going down? You want to sing Sing
0:12 with the big dogs?
0:15 You want to sing with the big dog?
0:18 [music]
0:23 [music]
0:31 There's been something baby I've been
0:33 trying to say
0:37 for an age and it seems I don't know how
0:41 [music]
0:44 past and a future now surrounding me.
0:50 Surrender to whatever cheap there can be
0:53 found.
0:56 There's been [music and singing] a
0:57 little trouble
0:59 since you came to my rescue.
1:03 [music]
1:07 And if you like all of the rest, I would
1:10 have quit you [singing] long ago, but I
1:13 couldn't do that.
1:18 [music] Oh, tell [singing] me now. Women
1:20 and white never went to
1:26 make a boy crazy and make him cold as
1:28 hell. [music]
1:32 I'm a woman that you wish me well.
1:36 But it's trying. [singing]
1:39 Still going to have to find
1:42 my way through. [music]
1:49 >> [music]
1:54 [music]
1:56 [singing]
1:59 [music]
2:01 >> Good evening everybody. Happy Friday
2:03 night date night. That's Champ Shannon,
2:05 lead vocals. [music]
2:08 I'll be singing back up for him all
2:10 night.
2:14 >> [music]
2:21 >> Oh, good lordy. Good lordy. Good lordy.
2:26 [music]
2:31 [music]
2:33 What economy are you living in?
2:37 What lane do you choose?
2:41 >> [music]
2:46 >> Turn.
2:49 [music]
2:56 [music]
3:07 Woohoo.
3:11 >> [music]
3:17 >> Freedom came up with that night
3:23 just like a jet plane in and out of
3:27 sight.
3:29 I [singing] was hauling ass at a million
3:32 miles an hour while wondering how hard I
3:37 did
3:40 [music]
3:41 when they [singing] came into the st.
3:48 They [singing] said I was bad beyond
3:50 repair,
3:53 but I got no qualms with my situation.
3:58 [singing]
4:00 >> [music]
4:00 >> Say here I am.
4:08 So
4:10 say Sheree Sheree Sheree
4:13 [singing and music] won't you dare to
4:17 say Sheree Sheree Sheree [singing] won't
4:20 you dare to say Sheree Sheree Sheree.
4:28 Uh-huh.
4:30 Yeah. [music] Leave a message and your
4:33 [singing] number. Please
4:38 [singing and music] take a time to want
4:39 to satisfy me.
4:44 Take all these [singing] old fantasies.
4:47 Send them care [music] of me.
4:57 >> [music]
4:58 >> Hey,
5:08 [music]
5:12 [music]
5:18 [music]
5:26 >> [music]
5:29 >> Standing by you,
5:33 I feel the heat. Can you feel it, too?
5:37 [music]
5:39 Leaning in close.
5:42 Smell of your perfume scares me most.
5:49 Your trouble [music]
5:50 to me.
5:55 Rich trouble can't you see
6:01 leaning away
6:04 if his father [singing] every day
6:13 standing by you.
6:16 I feel [singing] the heat. [music] Can
6:17 you feel it too?
6:22 You're trouble to me. [ __ ] champ.
6:28 Real trouble. Can't you see? Can't you
6:30 see? I'm trying to emote here. I'm
6:33 trying to emote. It's I'm trying to have
6:35 emotion. And about the time I'm I'm
6:38 leaning into it.
6:42 >> I know. I know. I know.
6:47 [ __ ] dogs.
6:49 They just don't understand.
6:53 If only you had language. Right. [music]
6:56 Right. Champy.
7:02 [music]
7:10 Is [music] this place I can rest my
7:13 forehead
7:15 [music]
7:17 together? My thoughts in sweet silence
7:25 is [singing] this place where the
7:27 feelings [music] on dead
7:32 from an overexposure to violence.
7:36 This is [music] place I can slowly face.
7:40 The only one I truly [music] can't know.
7:45 These are tears from a long time ago.
7:48 Got these tears from a long time ago.
7:52 [music] I need to cry. [singing] 30
7:54 years old. So these are tears from a
7:58 long time. [music]
8:11 >> [crying]
8:12 >> Well, oh darling, oh darling, you say
8:15 [music] unto me,
8:20 where [music] have you been all my life?
8:25 [music]
8:27 Where have women sad seas?
8:34 More women have to cost me [singing]
8:36 their lifelines.
8:38 Well, I'd pull them into the waters.
8:40 [singing]
8:42 I'd have won them, but [music] I didn't
8:44 know.
8:47 [singing] These are tears from a long
8:49 [music] time ago.
8:51 Got these tears from a long time ago.
8:55 I need to cry
8:57 or
8:59 tears from a long time. [singing]
9:02 [music]
9:04 Go.
9:15 [music]
9:23 Oh yeah. So, what's happening? I think
9:26 we're going to make some advertisements
9:28 tonight. We're going to do some
9:29 advertising. [singing] Gonna make some
9:31 social post [music] graphics if you know
9:34 what I mean.
9:42 [music]
9:42 Yeah, it is Friday. Happy Friday night
9:44 date night. I've realized, you know, for
9:48 for years now, I have declared that the
9:52 official snack foods of Friday night
9:55 date night here at the AI Learning Lab
9:57 are nachos and Hot Pockets. Of course,
10:00 the hot pocket heated in a dirty
10:01 microwave you still have from college.
10:04 Um,
10:07 tonight
10:10 what I had for dinner
10:13 [sighs and gasps] was a Mrs. McCormick's
10:15 chicken pot pie. It was flipping
10:18 delicious. Pretty sure it wasn't
10:20 chicken, but damn, it was tasty, doughy,
10:25 good.
10:27 So, I'm I'm expanding the menu. If if
10:30 you have a if you have a uh a chicken
10:34 pot pie in the freezer, and it's the
10:35 little one. It's not the big one. It's
10:37 the little serving sized one. It's got
10:39 like three pieces of chicken in it, 17
10:41 peas, and four pieces of carrots. And
10:44 then the goo.
10:46 The goo with the chewy dough.
10:50 I mean, I think it's
10:52 I I think it's what they call gourmet
10:54 cooking. Anyway, if you got one of those
10:58 in the freezer, go set the oven to 400.
11:01 Or is it 425? I don't know. Something.
11:03 It's a lot. It's hotter than the other
11:04 [ __ ] I cooked. And it's going to take
11:06 you 50 minutes. So, if you go put it in
11:09 now, the show will be starting about the
11:11 time it's done.
11:13 [laughter]
11:16 You're welcome.
11:23 >> [laughter]
11:24 >> Oh, good lord. Good lord. Good people.
11:32 Good evening. Good evening. Good
11:34 evening. Good evening.
11:38 All right. What? Oh, I know what I need
11:39 to do. Do that everything I can see.
11:47 Champion knows [laughter] what people
11:50 come here to see. I love those pot pies.
11:52 Somebody makes a vegetarian one that I
11:54 love, too. I listen, if you're going to
11:56 eat the vegetarian one, just listen. I
11:59 don't think you can come to the live
12:00 anymore. No. No. If you're going to have
12:02 a chicken pot pie, it's got to be
12:03 chicken pot pie.
12:06 You know, toky pot pie just doesn't have
12:09 the same ring to it. What did I miss?
12:12 We've added a new uh menu item, Source
12:14 Camp. So, it's now nachos, hot pockets
12:16 in a dirty microwave, or frozen chicken
12:19 pot pies, single serving, cooked in the
12:22 oven at 425°
12:24 for slightly less than the recommended
12:26 time. So, the dough is not quite cooked.
12:29 [laughter]
12:31 At least that's how I did it tonight.
12:33 [laughter]
12:34 I dang, I'm missing the chicken pot pie
12:36 talk. You are. You are. You You were
12:39 here for the let's change the world
12:41 talk. This is the let's change the
12:44 pallet talk. [laughter]
12:48 Marie calendars. Yes, that one. The one
12:51 you get at Costco. You get like 17 of
12:53 them in a box for $12.99. That one.
12:57 [laughter]
12:59 Chef Kelly, did you help design the the
13:01 special chicken flavoring in that
13:03 particular food item?
13:07 Because it pretty much tastes like crack
13:09 cocaine. Oh, I probably can't say that.
13:10 He probably just got banned from Tik
13:11 Tok.
13:14 He's talking about drugs.
13:17 [laughter]
13:19 Flavoring.
13:21 It's chicken. It's chicken like
13:23 flavoring.
13:24 [laughter]
13:27 I literally just checked my freezer to
13:29 see if I had one, and I do. Okay, source
13:32 cam. So, here's what you missed. What I
13:34 said was if you do, go put your oven on
13:36 425. Slap that bad boy in there on a on
13:39 a baking tray and in 50 minutes the show
13:42 will just be getting started and you can
13:44 burn your tongue on the on the filling,
13:47 [laughter]
13:48 which I think is I think it's a new way
13:50 to [laughter]
13:52 to experience the show.
13:55 Oh god, that's hilarious. You've got
13:57 one. [laughter]
14:00 I'm [snorts and clears throat] going to
14:01 be the
14:03 the sole destructor of everyone that
14:06 watches this.
14:08 Let's not forget Salisbury steak, mashed
14:10 potatoes, and hot applesauce. You know,
14:12 the the I as as you can imagine, I grew
14:16 up on some solid white trash food
14:19 and the frozen TV dinners, with the
14:22 exception of the brownie,
14:25 which was tasty when it was hot, except
14:27 the brownie always got a piece of corn
14:29 in it, which you didn't discover until
14:33 mid brownie, right? So, the piece of
14:35 corn in the brownie was bad, but but the
14:37 warm brownie was tasty. But the warm
14:39 other desserts like the apple baked
14:41 apple thing hot. No. No. You need a cool
14:46 dessert.
14:52 Like if only we knew Chef Kelly back
14:54 then, we could have said we could have
14:55 been the angry Gen Xer in the corner.
14:57 No, you don't want hot desserts. Figure
14:59 this out.
15:01 Remember when McDonald
15:04 I sound like [ __ ] Donald Trump.
15:07 [laughter]
15:07 Remember when McDonald's had the McDt?
15:10 Do you all remember that? It was a
15:12 double white styrofoam box and there was
15:16 the hot side and there was the cold side
15:18 and they took the sandwich top and they
15:20 put it on the cold side and then and you
15:22 had your hot burger and you put it on
15:24 the hot side and it actually separated
15:26 the the heat. So, you had the cold and
15:28 the hot and you got it home or you got
15:31 like 300 yards from the drive up window
15:35 and you'd open that bad boy up and steam
15:37 would come off the hot side and you take
15:39 that cool thing and put it right on
15:40 there and take a bite. Oh, that was
15:42 tasty.
15:45 Astronaut ice cream. But the crust is
15:47 damn good. The crust is damn good. Um,
15:50 but why were the apple pies the
15:52 temperature of the surface of the sun?
15:54 This was also a reality of McDonald's.
15:57 Even you know what's amazing about the
15:58 apple pies and I say it in past tense
16:01 like I haven't had one in the past
16:02 month. Um [laughter]
16:05 the the uh the the thing about the apple
16:10 pies. What was I going to say about the
16:11 apple pies?
16:14 Uh I don't know. I don't remember. They
16:16 were always Oh, they they they were they
16:20 would scald your tongue. Like you would
16:22 eat all the other stuff. You'd eat the
16:24 whole fries, the whole burger, half the
16:26 Coke, and you're like, "Okay, now I'll
16:28 bite into my pie." And it would still
16:30 burn your tongue. [laughter]
16:32 What did they do to that thing?
16:37 [laughter]
16:42 How are How are you learning AI? Um,
16:47 I watch a there's a show I show I watch.
16:50 So you you it's a good he's a good
16:54 teacher. He teaches AI. Uh
16:58 no no
17:01 last night he talked about fast food and
17:04 well frozen food and then fast food.
17:06 It's
17:08 he was like Jim Gaffigan but not funny.
17:13 Yeah. I don't know what I'm doing with
17:16 my life.
17:18 >> [laughter]
17:24 >> Steo, the apple pies here are like in a
17:26 wonton wrapper. Is it the same there?
17:28 No, they changed the apple pies here,
17:30 Steo. So, the apple pies used to have
17:32 like pie crust and now they've got some
17:35 sort of styrofoam,
17:37 brown sugar baked styrofoam lattice
17:42 that was clearly engineered. Right. This
17:45 was I'm pretty sure that the McDonald's
17:47 apple pies at this point are 3D printed
17:51 [clears throat] because they don't taste
17:53 like you definitely ripped a dirty make
17:56 oven from from Jim Gaffigan. I totally
17:58 did. Yeah, I just took a little piece of
18:01 his Hot Pocket routine [laughter]
18:03 and brought it and brought [snorts] it
18:05 to the masses. Well, he brought it to
18:07 the masses because he has masses. I
18:09 brought it to the micros. [laughter]
18:14 Oh my god. Okay. Um,
18:19 [music]
18:24 so, so one of the things we're going to
18:25 do tonight, we we have Cindy [ __ ] who
18:28 is a a loved member of the community. I
18:31 don't know if she's here tonight. Um,
18:33 but she's got a a workshop coming up at
18:35 the end of the month and we're going to
18:38 take a bunch of her raw materials and
18:40 we're see if going to see if we can turn
18:43 those into some advertisements,
18:45 some things that we can put out in the
18:47 world to get people all excited about
18:49 it. So, that we're going to work on
18:51 tonight. We're going to do that in Gen
18:53 Spark. I think I think I have credits
18:56 there to be able to do that. [music]
18:59 Listen,
19:05 [music]
19:07 Hot Pockets was clearly stolen from Jim
19:10 Gaffigan, but I think the Maria
19:11 Calendar's chicken pot pie, that whole
19:13 bit, I think that was all mine. I'm
19:15 pretty sure pretty sure I just came up
19:17 with that cuz that's what I had for
19:18 dinner. [music]
19:24 I'm so excited. ads. [laughter]
19:26 Chef Kelly bringing it coming in hot
19:29 with the with the excitement about ads.
19:32 Yeah, it's going to be big.
19:35 [music]
19:37 And actually, I'm we're going to try two
19:39 things tonight. We're going to try two
19:41 things tonight.
19:43 We're going to do Gen Spark because Gen
19:45 Spark's kind of magical. So, I think
19:46 what I'm going to do is just upload a
19:48 bunch of [ __ ] to Gen Spark and say, "You
19:50 go figure it out."
19:53 And then
19:58 I think we'll go to Gemini. I think
20:00 we're gonna do this in Gemini. Do I want
20:02 to do it in Gemini or Chat GPT? Oh,
20:04 we'll do it in chat GPT cuz chat GPT has
20:07 that new fancy 5.4 thing. Supposed to be
20:10 super good. We'll we'll see about that.
20:15 And then we'll just upload a bunch of
20:17 [ __ ] to chat GPT. Let it look at it cuz
20:19 it can see. If you didn't know your
20:22 large language models can see, they can.
20:28 And then we'll have Chat GPT
20:32 write us a creative brief and then we'll
20:35 have it make the ads.
20:41 [music]
20:46 Heat me up that chicken pot pie
20:49 at 425 degrees.
20:54 [music]
20:54 The crust is still
20:57 doughy.
21:02 I just I'm not Harry Mac when it comes
21:04 to styling styling the lyrics on the
21:07 fly.
21:19 >> [music]
21:23 [music]
21:31 [music]
21:37 >> You want to see something fun I made
21:39 today? It's got typos in it, but it's
21:41 cool. Um,
21:44 hey Source Camp, what did your what did
21:46 you [laughter] How was your watch party?
21:48 Did they have fun today? It was It
21:49 wasn't exactly a fun session at AI
21:53 office hours. AI salon office hours.
21:56 [music] Did they have a good time? Burnt
21:58 Edges with Dooughy Doy Frozen Center.
22:00 Exactly. Valerie knows the chicken pot
22:02 pie delights.
22:05 Anyone
22:08 who can describe the nuances of a Marie
22:10 Calendarer's chicken pot pie, they grew
22:13 up, right?
22:16 It was so good. We spoke for an hour
22:18 afterwards. Oh, after it was over. Oh,
22:20 that's so cool. That's awesome. It was
22:22 so cool just seeing everyone sitting in
22:24 their chairs. It was like you were
22:25 sitting in the middle of of gymnasium.
22:27 It was pretty good.
22:30 [music]
22:32 Um here let me show you the the image
22:35 that I made.
22:39 I can see clearly now the rain is gone.
22:42 I should learn the chords to that
22:44 because uh I sing it all the time but I
22:47 don't know it.
22:49 I can see all obstacles in my [singing]
22:53 way.
23:01 >> [singing]
23:01 >> It's going to be a bright bright bright
23:05 sunshiny day.
23:08 Okay. I thought that was weird.
23:12 Oh. Oh. Streamyard.
23:17 Streamyard. The thing we use to
23:18 broadcast on YouTube here is called
23:20 Streamyard. And it's just its interface
23:22 is just like I don't know every week and
23:25 a half or so they add some element to it
23:27 that just moves [ __ ] on your screen.
23:30 [laughter]
23:31 It's just like could you calm down with
23:33 the dynamic
23:36 resizing? Okay. So, this here image is I
23:41 took the the article that I wrote about
23:44 the seven economies and I threw it into
23:47 uh Notebook LM.
23:50 And so, here's the seven economies. And
23:53 there's there's some cool stuff going on
23:54 here. So, the the one thing that's cool
23:56 is Notebook LM itself figured out that
23:59 these four economies are kind of the
24:01 slow economy. Like these these are the
24:04 slow AI adoption. and then these three
24:06 economies are the AI first frontiers.
24:09 And it it kind of figured that out on
24:11 its own and it like put these on a
24:13 different angle. Like I I never would
24:14 have come up with that. It's it's like
24:16 one of the things that the when you
24:18 combine
24:20 [clears throat] this this is a thing
24:21 I've said about Nano Banana for uh when
24:23 it when it first came out
24:26 that it's not so much a an image
24:29 generation model as it is a thinking
24:32 reasoning model that can make images
24:34 which is what it is. Um and so like it
24:38 reasoned all this. It figured out you
24:41 know all the different colors. It
24:43 figured out all the Lego characters. It
24:45 built and designed little Lego
24:47 businesses in all the different
24:49 categories.
24:51 Um, and let let me zoom in and and then
24:53 it it got it mostly right except here.
24:56 Let me show you a fun typo.
24:59 Let's see.
25:02 The analog economy, humanmade,
25:04 authenticity, physical craft, local
25:08 bamundry
25:10 over digital speed. I don't know what
25:13 bamundry is. [laughter]
25:18 And then let's see, here's the legacy
25:22 economy. Yesterday's map, which I don't
25:25 think is what it says. Traditional
25:27 organizations with an S. So now we've
25:30 gone to England. Maintaining old war
25:32 flows
25:34 while the world accelerates around them.
25:39 But like look at the cute little like
25:41 the cute little the in the in the analog
25:44 economy. They've all got little fruit
25:45 stands, you know? They're at the farmers
25:47 market, which there's the analog
25:50 economy. They got their little shops.
25:52 They got their fruit stands. That's
25:54 pretty good.
25:58 the efficiency house faster horses using
26:00 AI to increase productivity within
26:05 asoling
26:06 or without changing the business model
26:09 you know asing or
26:12 so so there's just weird typos like on
26:15 the second line of all of these uh all
26:18 of these things
26:20 but it's still pretty it's still pretty
26:21 rad like just if you know just getting a
26:24 concept out quickly
26:27 pretty slick.
26:31 And like all of the all of the AI ones
26:33 are like slick cyber blue. The AI
26:36 aggressor economy burn the org chart and
26:39 it's like ice ice skyscrapers.
26:42 The AI native economy, it's all small
26:44 little businesses kicking ass and taking
26:46 names.
26:48 And then look at the the multi- the
26:50 multi- agency operator community. It's
26:53 one human with all of their agents
26:55 around them running their business. Just
26:58 it's just good. It's just, you know,
27:03 [gasps and snorts]
27:04 so that's cool.
27:14 [clears throat]
27:17 Those three have paths up. Yeah,
27:19 exactly. Yeah, these three have paths up
27:21 and out, right?
27:24 And also
27:26 it actually adds a path because that was
27:29 one of the thing I talked one of the
27:31 things I talked about last night is I
27:34 think the right now there's seven
27:36 economies. I think there's probably
27:38 going to be an eighth one and then
27:39 probably a ninth one. There's just going
27:40 to be these economies that keep going
27:43 out on the AI side just getting more and
27:46 more and more intense. The other thing
27:48 we talked about in office hours today is
27:52 you've got if the if the basically if if
27:55 you weren't here last night, if you
27:56 weren't paying attention, the seven
27:57 economies, this is this is my theory.
27:59 This is based on three nights thinking
28:03 in in answer to the question Kelly Camp
28:05 asked me. Hey Kyle, you said things are
28:07 going to get weird. What's that look
28:08 like? This this is my answer to that. So
28:10 this is not super well thought out right
28:13 now, but the basic idea is this is sort
28:16 of lowest AI adoption to highest AI
28:19 adoption. And the and the economies are
28:21 just basically like no AI, just keep
28:23 running businesses at we as we used to.
28:26 Ignore AI. Here's a little bit of AI,
28:28 here's a little bit of more AI. But all
28:30 of these are essentially still running
28:32 businesses like they've always run them
28:33 with maybe a little bit of innovation in
28:35 the green path. And then the AI first
28:38 ones are, you know, I'm I've got an
28:41 existing company, but I'm willing to
28:43 blow it up and just lean fully into AI.
28:46 Then there's AI only companies. And then
28:48 there's these um autonomous bot
28:52 companies like open clawbased companies
28:56 where or or whatever the technology of
28:57 the day ends up being where you've got
29:00 one person running 10 20 50 person 50
29:03 agent companies 24/7.
29:06 Um,
29:08 yeah. And so that's that's and so what I
29:11 think it starts to look like is we're
29:13 just going to have a weird mix of
29:16 there's going to be people in the world
29:18 like two years from now just running
29:19 their businesses that are still like no
29:21 I don't really do AI. You're like
29:24 really? Yeah. No, I'm just still doing
29:26 this. Okay. And but they're going to be
29:29 fine except their businesses may die.
29:32 They're not going to be stressed out
29:33 about AI because they'll just ignore it.
29:37 [laughter] And then and then everyone in
29:39 the blue, all of these blue people are
29:41 going to be all stressed out, biting
29:43 their nails, you know, just manic like,
29:45 "Got to get there. Got to get there."
29:47 And then the people in the red are just
29:49 going to be like,
29:53 "Hey Bob. Hey Bob. Yeah, it's Jim.
29:56 Listen, could you bring over another
29:58 quarter ton of manure?" Yeah. just just
30:01 they they the plants aren't looking
30:03 happy. I just think they need a little
30:05 love. We got to get some poop on them.
30:07 [laughter]
30:09 You know, they're gonna be fine.
30:12 But you know what's going to happen in
30:14 the analog economy? You're going to have
30:16 some hippie vegan tofu eating, blueberry
30:20 growing, you know, bearded man
30:23 bunwearing guy. He's gonna sneak off at
30:27 night and he's going to be spinning up
30:28 some some Clawbot thing. [laughter]
30:34 The agents will call Bob.
30:38 Will we all go to vacation to the analog
30:40 place? I think so. I think I think what
30:42 happens what we talked about Oh, this is
30:44 what I was going to say. What we talked
30:46 about on the call today is people are
30:48 going to get fired from these six
30:51 economies, right? Well, they won't get
30:53 fired from the these two, but they're
30:54 going to get fired from in here, right?
30:56 And some of them are going to go try to
30:58 find other jobs in in two, three, and
31:01 four. And there's not going to be any
31:03 jobs there. So, they're just going to
31:04 go, "Fuck it." They don't want to go to
31:06 AI land, and they're just going, "Fuck
31:08 it." And they're going to just drop down
31:09 to to the analog economy. And then,
31:12 yeah, I think what's going to happen is
31:15 um the analog economy is going to get
31:17 stronger and stronger and stronger. Like
31:19 people are going to love living in the
31:21 analog economy. I don't want to deal
31:22 with that [ __ ] I don't want to deal
31:24 with your fancy ass whatever. Just you
31:27 go do that. I think there's going to be
31:28 real excitement down there. And then
31:30 yeah, I think as these guys all burn
31:32 out, they're they're going to go here.
31:34 And then what's going to happen is the
31:36 agentic um AI is just going to
31:40 increasingly start encroaching on these
31:43 these other businesses and it's just
31:45 going to eat them all. And so I think
31:47 what you ultimately end up with is you
31:49 end up with highly agentic AI businesses
31:53 and the analog economy. I think the
31:55 middle of this just goes away. They're
31:57 going to dis rediscover newspapers. They
31:59 will they will. I think no local
32:02 newspapers come come back.
32:05 Local reporting, actual journalism
32:08 comes back. But they're going to be
32:10 reporting on things like, you know,
32:12 [laughter] the the the the the peach
32:15 yield
32:17 in June. [laughter]
32:20 I love that. Will people go to the
32:22 humanity of the analog economy? I think
32:24 they will. I think, man, I I honest to
32:26 God, I think the analog economy is just
32:28 going to get
32:31 it's going to get like people are going
32:33 to love it. They're going to be like,
32:34 "Oh my god, I got to I got to connect
32:36 with people. I saw dirt.
32:39 That might be going on now, but I just
32:40 this feels like it's going to get
32:41 amplified as all as all this [ __ ] starts
32:44 making noise and these things start
32:46 getting threatened and there's going
32:50 it's going to be like a video game.
32:53 Maybe at some point we'll we'll we'll
32:55 turn this into a video game and you can
32:57 choose you can choose whatever path you
32:58 want to be on and then you go [laughter]
33:00 you go do a platformer in each of each
33:03 of the economies.
33:05 Um anyway, okay. So,
33:09 what do we need to do?
33:12 We've got a bunch of stuff here. Can I
33:14 download a whole folder,
33:19 future AI mindset,
33:23 marketing materials,
33:26 marketing blurb, one pager copy.
33:30 All right, let's just go download a
33:32 bunch of [ __ ] Tab. Oh, did you actually
33:34 want to see this? Fine.
33:41 Can I download that folder? I can
33:43 [clears throat]
33:51 curiosity field guide.
33:55 Oh, this got all sorts of [ __ ] in it.
33:56 Cool.
33:58 Tik Tok pin. Kodak and Blockbuster will
34:01 come back. They might actually.
34:07 This is okay. This is good. This is
34:08 great. So, I'm going to download this.
34:16 That's the course that we don't need.
34:19 Okay,
34:20 we've got everything.
34:23 We're not going to put any pricing in
34:25 the images.
34:26 YouTube question on the seven economies.
34:29 What's your time frame for this?
34:37 >> [laughter]
34:37 >> Listen, Kyle. Puck on me all you like.
34:40 Pick on me all you like, but I'm a
34:42 profoundly bald no man bun. [laughter]
34:49 Um, my time frame on the seven
34:51 economies.
34:52 Um,
35:02 it certainly
35:05 it certainly starts in 2026
35:08 and I don't think that um
35:11 here I hang on. I'm going to go change
35:13 I'm going to change how I'm sharing so I
35:14 don't have to worry about tabs. Um, but
35:18 the seven economies.
35:22 We're going to go to chat GPT. By the
35:23 way,
35:28 I don't have a chat GPT window open.
35:30 That's weird.
35:35 [sighs]
35:41 So, the thing that led me to make the
35:42 the comment about things are going to
35:45 get weird that that Kelly said, "What's
35:46 that look like?"
35:49 was simply the fact that
35:53 2026 is already proving to be the year
35:56 where things are getting so good that
35:58 it's freaking people out. like like I
36:01 feel like
36:02 2023, four and five, it wasn't until the
36:06 end of 2025 that things were getting
36:08 good enough that people outside of AI
36:11 circles were getting freaked out. Like
36:12 we were all paying attention all along.
36:14 So like when images got good enough that
36:17 they people didn't have pretzel hands.
36:21 We were like, "Ooh, that's better." But
36:23 to other people, it still looked like
36:24 [ __ ] It still looked like damn
36:25 whatever. The end of 2025, things
36:27 started to look better. video started to
36:29 look better
36:31 and the coding started to get really
36:34 good. Like December of 2025, the models
36:38 got so good at coding that coders
36:40 basically threw up the white flag and
36:42 said, "Okay, AI can just code. I'm just
36:45 going to manage AI coding."
36:49 Um, and a lot of coders didn't like
36:51 that. So, so I think December 2025 was
36:54 the was the canary in the coal mine for
36:58 coders, right? And they're going to see
37:00 it first because the frontier models are
37:04 or the frontier companies are creating
37:06 models to make code better so that their
37:10 models can get better so that they can
37:12 win the race. Like they are they are
37:14 internally incentivized to make sure
37:17 that they win the race. So, so all of
37:19 their effort is going toward coding, not
37:22 toward creative writing or any of the
37:24 other things. It's all about coding. So,
37:26 they're going to see it first. That
37:27 happened in December of 2025, right? So,
37:29 three months ago, four months ago, and
37:32 it's just been getting better and better
37:33 since. And then, like you had a month
37:35 ago, Seed Dance 2 dropped from China,
37:38 that video model, and like all the
37:40 people in Hollywood freaked out. And by
37:41 the way, I don't know if you saw it, but
37:43 Netflix bought Ben Affleck Affleck
37:46 company. that is a a company about using
37:49 AI in film production in a human-
37:52 centric way, but Netflix just bought
37:54 them, right? So, so AI is going to
37:57 absolutely transform that market. Like,
37:59 it's just we knew it would anyway, but
38:01 it's just that's accelerating as well.
38:03 So, I think I think what starts to
38:05 happen is 2026 is the awareness year.
38:08 It's the awareness that oh [ __ ] things
38:11 are going to happen.
38:13 The idea right now behind the seven
38:15 economies is if you can actually look at
38:19 those seven economies and and say,
38:21 "Well, wait, where am I right now?" And
38:24 then where do I want to play?
38:27 You might want to play in the analog
38:28 economy. You might want to go work for a
38:30 company that's ignoring AI,
38:33 right? Reggie in here last night talked
38:35 about doing a job interview and they're
38:37 like, "We want you to do what was it?
38:39 Type form type form code or whatever.
38:43 and we we don't want you using AI. We
38:45 want you to hand type it.
38:48 And he said they were a major airline.
38:51 [laughter]
38:51 Found that out today. Like whatever. So
38:54 like even big companies are just going
38:56 to stick with what they've always done.
38:58 Um
39:01 so I think 2026 is the year that it
39:03 becomes apparent that everything's going
39:04 to change. So, probably toward the end
39:06 of this year, the beginning of next
39:08 year, we'll start to see these sort of
39:11 lanes emerge where there's just
39:12 companies that are we're just going to
39:14 do what we're going to do or we're going
39:15 to we're going to innovate or we're
39:16 going to completely innovate or I'm just
39:18 [ __ ] it. We're going to start over. So,
39:20 we'll see. Anyway, [clears throat]
39:22 all right. Beautiful, beautiful,
39:25 beautiful, beautiful, beautiful people.
39:27 It's fantastic. Fantastic. All right.
39:30 So, what we're going to do is we're
39:32 going to do some advertisements.
39:36 >> [laughter]
39:36 >> You can't even spell airline without AI.
39:39 That is very true. Okay, we're going to
39:42 add photos and files.
39:45 So, if we go to downloads, we've got her
39:48 final manuscript of the field guide.
39:57 Oh, it zipped up our images. That's
39:59 interesting. So, let me go unzip those.
40:12 I don't I think you can only upload 10
40:15 images to
40:17 chat GPT, but we'll find out, won't we?
40:21 Okay, there's the marketing blurb.
40:22 There's the one pager copy. There's the
40:24 mindset.
40:32 Oh, wait. Those are the images. There's
40:33 the mindset. Okay. So, we're going to
40:35 open those up.
40:43 What's going on? Why are you such a poop
40:46 head?
40:56 [cough and clears throat]
40:57 I don't have water. Jesus. [laughter]
41:00 Hold. Please.
41:07 Carry on. Entertain yourselves.
42:18 Okay. So, we are now with hydration. The
42:23 mission, should we choose to accept it,
42:25 is we're going to take the documents
42:26 from Cindy Coun's future AI mindset.
42:35 We're going to have Chat GPT understand
42:37 them
42:39 and then we have some questions to
42:42 answer. So, why don't we do this? Why
42:44 don't we go?
42:46 [sighs]
42:51 I'm going to I'm going to add some
42:52 images in here. Hang on.
42:59 Logo.
43:03 So, we'll add the cover art.
43:08 We'll add the quick guide
43:14 and then we'll add some of these
43:15 illustrations.
43:20 Okay, so we're going to go front cover
43:27 quick guide. One, two, three,
43:32 four, five.
43:35 That's good.
43:39 Did it add those? Yes.
43:42 Okay. So,
43:45 we've got
43:48 we've got raw materials.
43:57 I think what I'm going to do, I'm I'm
43:58 going to leave this here. We're going to
44:00 come back to this
44:03 and then we're going to go
44:09 to GenSpark.
44:15 Genspark.ai.
44:16 If you haven't played with Gen Spark,
44:18 it's good. Let me just make sure I have
44:19 credits because if I don't credits zero.
44:26 Oh, no. Credits 7045. Okay, I've got
44:30 credits. Okay, so we're going to go to
44:32 AI designer.
44:37 And then we're going to upload some
44:39 [ __ ] Same [ __ ] we did before. So, we're
44:42 going to go front cover
44:45 permissions. No. Uh, quick guide
44:49 some of these images.
44:53 Going to upload those.
44:56 All right. And then we're going to
44:58 upload
45:03 the
45:05 manuscript, the one pager copy, and the
45:08 marketing blurb.
45:10 [snorts]
45:11 >> [clears throat]
45:13 >> And then I'm going to say um
45:18 here are
45:22 some documents.
45:30 Images for style.
45:34 style,
45:37 a book cover,
45:41 etc.
45:46 I want you to
45:50 create
45:52 graphics for
45:56 a social campaign
46:00 based on this. But before you start
46:05 working,
46:09 ask
46:12 me three clarifying questions
46:17 that will allow you
46:24 to make sure that this campaign
46:32 is compelling,
46:37 eye-catching,
46:39 and effective.
46:45 Let's see how it does. Please wait for
46:47 the files to be uploaded. Why are they
46:49 taking so long to upload?
46:52 Oh, I think I need to restart my router.
46:56 I'm starting to realize all these upload
46:58 problems I've been having lately. I
46:59 think it's I think it's my router.
47:06 What is the airspeed velocity of an
47:08 unladen swallow?
47:10 European or African? Uh [laughter]
47:19 [laughter]
47:21 what other than witches float?
47:25 Uh, very small rocks. [laughter]
47:30 Or no, what? What other than ducks
47:33 float? Very small rocks.
47:37 A witch. A witch. [laughter]
47:44 [sighs and gasps] Okay. So, I don't
47:47 think those things are going to upload.
47:48 So, that's bad. Uh, let me close those
47:51 out. Let me see if I can upload one of
47:53 those things.
47:56 Browse local files. Let's choose one of
47:58 the small ones. We'll choose the
48:00 marketing blurb. Is that uploading?
48:06 That's not going to work. Okay, back to
48:08 chat GPT.
48:12 He was sort of all over the place. Okay.
48:16 Uh I want you
48:18 We'll do it with voice to text so you
48:21 don't have to suffer my typing.
48:24 I want you to read the documents here
48:28 and look at the images for style
48:32 because I'm going to have you create
48:35 [clears throat]
48:38 because
48:40 I'm going to have you create a series of
48:44 graphics for a social marketing campaign
48:49 where we're going to do posts that use
48:51 the images you create. period. I want
48:54 you to ask me
48:57 three to five clarifying questions
49:01 after you look at all the materials
49:04 to help you put together
49:07 a solid creative brief
49:15 for the campaign.
49:20 Uh let's start there. Simple.
49:27 Yeah.
49:32 And Murphy in the house. Is that Murphy?
49:34 And Murphy was shaking. Cory Sandler
49:37 Pottery in the house. Jason in the
49:38 house.
49:40 Got some she leads going.
49:44 [clears throat]
49:45 Time for a new router, Kyle. It really
49:47 is. It really is.
49:50 All right. So, Ann Murphy, what we're
49:53 doing is Cindy Coon's got a big workshop
49:56 coming up at the end of March, and we
49:58 need to create uh marketing graphics for
50:01 it.
50:04 So, we're trying to do it in GenSpark,
50:05 but my my my router is not letting me
50:08 upload files, but they uploaded here.
50:10 So, so I think we're okay.
50:13 So, we're gonna have Chat GPT do this. I
50:16 think we're also gonna have Gemini do
50:18 it. We might as well might as well have
50:21 try a bunch of different things.
50:25 Um,
50:28 this is a drag. It's not letting me
50:30 upload.
50:41 We'll just ignore it and maybe we'll
50:43 come back to it and they'll be uploaded.
50:45 Opening and inspecting the images with
50:47 PIL. I don't know what PIL is. Oh,
50:49 Python. It's Python library. Cool.
50:53 So, look at that. Chat GPT is just
50:56 spinning up code. The campaign seems to
50:59 center on the future of AI mindset as
51:01 human- centered thinking pra practice,
51:03 not an AI tools class. Correct. The core
51:06 promise is helping people build agency
51:08 foresight. Oh, by the way, what we're
51:11 doing ads for. So, Cindy [ __ ] just
51:13 launched this new book,
51:15 The AI Futures Mindset. So, go check it
51:18 out. You can go buy it now. You should
51:20 go buy it now. And at the end of this
51:22 month, she's doing a a workshop based on
51:26 this. This is about shifting your
51:28 mindset for
51:31 for all the economies that are coming.
51:33 [laughter]
51:34 So, if you're thinking about getting
51:36 your [ __ ] together, this would be a good
51:37 one. The core promise is helping people
51:39 build agency, foresight, and a more
51:41 intentional relationship with AI through
51:44 curiosity, scenario thinking,
51:46 experimentation, and long-term values.
51:49 The workshop language reinforces that
51:51 there's a live six-week journey with
51:53 concrete outcomes like a personal
51:55 mindset statement, an AI futures, an
51:58 applied futures map, a backcasting
52:01 pathway, a designed anchor, and a 90-day
52:04 practice commitment. Cool. That sounds
52:06 pretty bitching. I also picked up the
52:09 core conceptual structure. AI is a
52:11 dynamic partner rather than a static
52:13 tool grounded in eight elements.
52:15 Collaborative, confident, positive,
52:17 prepared, balanced, specific,
52:19 open-minded, and patient. This gives us
52:21 a ready-made content architecture for a
52:23 social series.
52:26 This is good. So far, chat GPT 5.4
52:30 thinking,
52:32 I'm thinking, is pretty good.
52:35 >> [laughter]
52:35 >> I'm so clever.
52:38 [sighs]
52:41 Visually, the style feels distinct,
52:43 handdrawn, sketchbook driven, slightly
52:45 whimsical, cerebral, quiet, and humane.
52:48 It has a notebook field guide
52:50 sensibility, blah blah blah blah blah.
52:51 Okay, great. Beautiful. To build the
52:54 right creative brief, here are my
52:56 questions. One, what is the primary goal
52:58 of the campaign?
53:01 Um, sell the six week workshop, build
53:04 awareness, grow Cindy's audience. Uh,
53:06 sell
53:08 the six week
53:12 workshop
53:15 semicolon two. [laughter]
53:19 Who exactly is the priority audience for
53:22 these posts? Individual professionals,
53:24 enterprise leaders, educators, futurist,
53:26 creatives, general, or some mix? Um,
53:29 we're going to go definitely individual
53:34 professionals.
53:36 If anyone, by the way, if anyone here
53:38 that is knows this stuff, Brandon or
53:41 Andy or anyone else or if Cindy Coon's
53:43 in here, if there's a specific answer to
53:45 one of these questions you want me to
53:47 include, I'm just I'm just going out of
53:49 my instinct right now. Um, let's see.
53:53 individual professionals
53:56 um
53:58 AI
54:01 curious for sure
54:04 uh let's say but also
54:07 those
54:09 fearful
54:11 of
54:12 job disruption
54:18 and then I'm going to put in parenthesis
54:22 in In fact,
54:24 the latter category
54:34 might include the first two. Okay.
54:39 Semicolon.
54:42 [sighs]
54:42 What platforms are we designing for
54:44 first? Instagram, LinkedIn, Facebook. X.
54:47 Let's go.
54:50 uh linked in
54:54 Instagram
54:57 X
55:02 and then I'm going to go mix
55:05 of
55:07 carousel and
55:11 square posts
55:16 semicolon
55:18 Four,
55:20 do you want the campaign content
55:22 organized around the eight elements
55:26 around workshop benefits and outcomes,
55:29 memorable quotes, ideas from the book or
55:31 a blend of those? Um,
55:34 I think
55:37 the message
55:40 the message is
55:50 should make the benefits of attending
55:55 clear. Let's see what it does with that.
55:58 That that might be a tough that
56:02 it's hard to do things that are
56:03 compelling that also give you the
56:05 benefits of of being in the thing.
56:08 Like that's hard for creative directors.
56:10 So, let's see how good this thing is.
56:13 Five.
56:16 How closely should the new graphics
56:18 stick to her style? Um,
56:31 let's see.
56:33 Typography
56:35 might stray,
56:37 but illustration style
56:42 should be all
56:48 Cindy.
56:50 Um,
56:52 the type might be more bold
56:57 to be inst instant instantly
57:03 readable
57:08 though
57:10 I am open to your ideas. One of the
57:14 things that you can do with large
57:16 language models is tell it to tell it to
57:20 feed you, right? A lot of times we treat
57:23 these things like vending machines. Like
57:25 I'm going to give you the good input and
57:27 then you're just going to do what I say.
57:29 You can also just say I don't know. Like
57:32 you tell me. Once you answer those, I
57:34 can turn this into a tight creative
57:36 brief. Okay. Boom. I answered those.
57:40 I used to always speak directly to a few
57:42 generations, three or so in different
57:44 ads.
57:47 That's pretty groovy.
57:53 Oh, speak directly to a two to a few
57:55 generations. That's not a bad idea,
57:58 Silver Fox. Excellent. That gives me
58:00 enough to frame the campaign. Working on
58:02 a campaign goal, audience, core
58:05 positioning.
58:43 Likely content pillars. Why this
58:45 matters? Now AI is changing how we
58:46 think, work, decide, and imagine.
58:50 What people are feeling behind,
58:51 overwhelmed, uncertain, fascinated,
58:53 threatened, curious. That's good. What
58:56 this workshop actually gives them a
58:58 framework of practice, a map, a
59:00 statement, a path, a commitment. What
59:02 makes this different? It's not a
59:04 tutorial. It's a human- centered
59:05 thinking practice. What kind of future
59:08 stance it builds? More agency,
59:10 foresight, adaptability, resilience, and
59:12 intentionality. Before I lock in on the
59:15 brief, I have four final clarifying
59:17 questions.
59:19 All right. This is annoying, but let's
59:21 do it. This So, it's it's thinking. This
59:23 is good. This is good. This is this
59:26 making sense to everyone. Why? Like
59:29 if you've never done like like big
59:32 advertising or marketing campaigns
59:34 before,
59:36 the actual execution where everyone
59:38 starts is what should it look like and
59:39 what are the what should be some clever
59:41 headlines.
59:43 You have to do the work up front that
59:45 all those messages ladder back to like
59:47 what are we trying to accomplish? Who
59:48 are we talking to?
59:51 Do you want the camppoint pain voice to
59:53 feel more reassuring and humane? More
59:55 provocative and wakeup call. Blend of
59:58 both. We'll go one. Blend of both. Blend
1:00:00 of both. It
1:00:03 the the campaign
1:00:08 should be smart
1:00:11 enough
1:00:14 to
1:00:17 strike that balance.
1:00:21 Semicolon two
1:00:24 is Cindy herself part of the cell. In
1:00:26 other words,
1:00:28 should some posts foreground her
1:00:31 credibility and methodology?
1:00:34 Yes.
1:00:36 Um
1:00:38 can include her
1:00:42 in some but not all.
1:00:48 Or
1:00:52 we can include her in the post
1:00:57 text,
1:01:00 but the images.
1:01:02 No, I'm just going to I'm just going to
1:01:04 say we can going to include her in some
1:01:06 but not all. I'll let I'll let it be
1:01:08 more creative. It's probably going to
1:01:09 think about this more creatively than I
1:01:11 would.
1:01:13 [clears throat and cough]
1:01:13 Oh, damn you, Tik Tok.
1:01:17 >> [snorts]
1:01:19 >> All right. Semicolon three.
1:01:22 Do you already know the workshop start
1:01:24 date? We do.
1:01:26 Brandon, can you find that out for me?
1:01:29 The workshop start date. It's probably
1:01:31 in my documents, but I'm too lazy to go
1:01:33 look.
1:01:35 3:30
1:01:38 starts
1:01:41 3:3026
1:01:44 semicolon 4.
1:01:48 Roughly how many posts do you want in
1:01:50 the first wave? 6 9 12 or more? Um
1:01:59 um
1:02:05 six
1:02:08 and then I'm going to go I'm going to
1:02:10 throw in silver fox's idea. Um,
1:02:16 what might be nice to layer on top
1:02:23 is
1:02:30 creating three campaigns
1:02:35 for the targets
1:02:40 identified.
1:02:44 but in
1:02:47 different
1:02:49 generations.
1:02:53 Z
1:02:55 millennials
1:02:58 and Gen X.
1:03:03 All right,
1:03:05 let's go.
1:03:08 Our work is done here. Is anyone
1:03:11 watching Outlander tonight? [laughter]
1:03:16 You know what I love about the AI
1:03:18 learning lab? When I'm off doing actual
1:03:20 work, everyone's like, "Uh, hey, you
1:03:22 want to talk about popcorn?
1:03:25 You guys watching anything good tonight?
1:03:28 [laughter]
1:03:30 Y'all are the best." You really are.
1:03:33 [clears throat and cough]
1:03:36 Hey, Silver Fox. I know you'll be happy
1:03:39 to hear this. Yes, that general
1:03:42 generational layer is smart.
1:03:45 [clears throat]
1:03:45 Chat GPT thinks you're smart, Silver
1:03:47 Fox. [laughter]
1:03:52 She is, but Chad GPT just confirmed it.
1:03:56 Okay. It lets us keep one workshop, one
1:03:59 core promise, but tune the emotional
1:04:00 entry point for each audience. Creative
1:04:02 brief future mindset. Primary goal. All
1:04:04 right, let's read this. Let's let's take
1:04:06 this in.
1:04:10 Primary goal. Sell the six week workshop
1:04:12 beginning 3:30. Making the workshop feel
1:04:15 like a practical answer to AI anxiety.
1:04:17 Let's go back to GenSpark and see if
1:04:19 those things uploaded. They did.
1:04:21 Awesome.
1:04:22 Okay.
1:04:26 So, chat GPT is good. Please wait for
1:04:28 all files to be uploaded. Oh, one's
1:04:30 still uploading.
1:04:33 Good lord. Okay, so my my upload speeds
1:04:37 here. I I really do need a new router. I
1:04:39 need to reset it. [clears throat]
1:04:42 Sell a sixe course beginning making the
1:04:45 workshop feel like a practical answer to
1:04:47 AI anxiety, disruption, and uncertainty,
1:04:49 especially for professionals who are
1:04:51 curious about AI but don't want to be
1:04:53 flattened by it. That's that's really
1:04:56 good.
1:04:59 Make the workshop feel like a practical
1:05:01 answer to AI anxiety, disruption, and
1:05:03 uncertainty, especially for
1:05:05 professionals who are curious about AI,
1:05:07 but don't want to be flattened by it.
1:05:11 That's really good. The program promises
1:05:14 concrete. By the end, participants can
1:05:16 leave with a future AI mindset
1:05:18 statement, an applied futures map, a
1:05:20 backcasting pathway. Don't know what
1:05:22 that is, but doesn't matter. Sounds
1:05:24 important. um a designed anchor and a
1:05:28 90-day practice commitment. Audience,
1:05:30 individual professionals, especially
1:05:31 people who are AI curious but not deeply
1:05:33 technical. Worried about job disruption
1:05:35 or irrelevance, overwhelmed by the speed
1:05:37 of change, looking for a more grounded,
1:05:39 human- centered way to engage AI. This
1:05:42 is perfect
1:05:43 core positioning.
1:05:45 The strongest differentiator is this.
1:05:47 The future AI mindset is a thinking
1:05:50 practice, not an AI tools class. That's
1:05:53 really good. It frames AI as a dynamic
1:05:56 partner rather than a static tool. Okay.
1:05:59 What?
1:06:08 Where's my creative brief?
1:06:13 Okay.
1:06:15 Where is my creative brief?
1:06:19 Um, this seems to describe
1:06:25 what you will
1:06:29 make, but
1:06:32 I see nothing.
1:06:35 Um, put it
1:06:40 it in a canvas
1:06:44 so I can edit
1:06:47 it.
1:06:50 You are a worldass
1:06:55 creative
1:06:57 director. Don't [ __ ] it up. [laughter]
1:07:08 Kyle, you'll end up a cyborg if you keep
1:07:10 [laughter] this up.
1:07:12 Do you use Versel for apps websites? Uh,
1:07:15 I don't. I don't. I'm just my my um I'm
1:07:20 not doing a ton of development. The the
1:07:22 the most intense thing I'm doing right
1:07:24 now is installing OpenClaw, which feels
1:07:26 like I'm writing an assembly language
1:07:30 from the way my brain works.
1:07:33 It's just a few command lines. It's
1:07:35 relatively straightforward, Kyle.
1:07:37 Anybody knows that. You just got to make
1:07:40 sure you've got your directory paths
1:07:41 correctly specified. But that's pretty
1:07:44 trivial, isn't it?
1:07:49 >> [sighs]
1:07:58 >> Okay.
1:08:02 Do we have a creative brief? We do.
1:08:04 Good.
1:08:07 All right. [clears throat] Nice.
1:08:09 This is good. Okay. Let's go look at it.
1:08:20 >> [gasps]
1:08:21 >> Oh, okay. Shy
1:08:23 sell the six week future mindset
1:08:25 workshop beginning March 30th, 2026
1:08:27 through social campaign question if you
1:08:29 have time. Unrelated. Oh, Stacy. You're
1:08:33 not doing something unrelated.
1:08:35 This I don't know if you know this about
1:08:37 the AI learning lab. We set an agenda
1:08:39 every night and we follow it strictly.
1:08:41 Ask producer Brendan. He knows how
1:08:44 tightly I follow agendas, but I'll go
1:08:46 ahead and answer your question. All
1:08:48 right. What is it? I'm getting ready to
1:08:50 hatch my new openclaw. Congrats. Do you
1:08:54 recommend Telegram or Discord or an al
1:08:56 alternative interface? What LLM do you
1:08:58 recommend to run locally? Okay. No
1:09:02 comment from producer Brandon on on the
1:09:05 on the agenda following prowess of your
1:09:08 host. Hi, I'm Kyle Shannon. [laughter]
1:09:15 Um,
1:09:17 okay.
1:09:22 So, I got I got some good advice from
1:09:24 this from a very smart millennial person
1:09:27 I know.
1:09:29 Um, I started out having my my Adam
1:09:34 Claudebot on
1:09:37 WhatsApp, but I also have a bunch of
1:09:39 active conversations going on WhatsApp.
1:09:42 And if Adam for some reason
1:09:45 can get access to my other
1:09:46 conversations, like I don't want Adam
1:09:48 jumping between all my conversations. So
1:09:51 I I would I would think a thing would be
1:09:53 whatever platform you're comfortable
1:09:55 communicating on that is decently
1:09:58 segregated from a lot of your core
1:10:00 communications. Like if if you do a lot
1:10:02 of communications in Discord, you might
1:10:04 not want to use Discord. Like I chose I
1:10:06 ended up chosing choosing Telegram
1:10:08 because I don't really use Telegram.
1:10:11 Like I've got contacts in it, but I
1:10:12 don't I don't give a [ __ ] I don't have
1:10:13 any active conversations going on there.
1:10:16 That might be overly paranoid. I think
1:10:18 that the way I mean I know that the way
1:10:21 that open claw is set up you have to
1:10:24 explicitly give permission for it to
1:10:26 talk to other people but even still like
1:10:29 I just chose to segregate it. So I would
1:10:31 say a thing that is decently segregated
1:10:33 that you're comfortable using
1:10:35 um for that and then the local large
1:10:38 language model. This this hugely depends
1:10:40 on your computer but you you have a a
1:10:42 Mac studio and I assume you got one with
1:10:44 a decent amount of RAM.
1:10:47 um
1:10:49 install
1:10:51 you know whatever whatever sort of front
1:10:53 end like like uh
1:10:56 anything l anything LM or I think it's
1:10:59 called is that what it's called or Lama
1:11:02 or there there's a couple of things that
1:11:04 can run local models I would go look at
1:11:07 the Quen 3.5 models from from Alibaba
1:11:10 the it's QWEN3.5
1:11:15 and they just launched
1:11:17 a pile of very small ones that can run
1:11:20 well on a desktop, but depending on how
1:11:22 powerful the Mac Studio you got is, you
1:11:25 might be able to go to like a 14 or even
1:11:27 a a 30 um billion parameter model. So
1:11:31 basically I'd go to Quen 3.5 and then
1:11:34 basically I'd just install probably
1:11:36 starting at with a Max Studio you could
1:11:41 probably start at the 9 billion
1:11:42 parameter model and then just work your
1:11:44 way up until it gets slow and then back
1:11:47 it down one from that might be the way
1:11:50 to do it. But you'll be able to run a
1:11:52 decently powerful model. Those Quen
1:11:54 models are really good. Okay,
1:11:58 let's go look. Let's go look at the vide
1:12:01 tape. This is going to be long. I'm not
1:12:02 going to read through this whole thing
1:12:03 because we're gonna have it go start
1:12:04 making ads. Campaign purpose. Sell the
1:12:08 six week future AI minds. Okay, this is
1:12:10 not a campaign about tools or hacks. The
1:12:13 big idea, you do not need to become a
1:12:15 machine person. You need a better
1:12:17 mindset in the age of AI or for the age
1:12:19 of AI. That's good. The future AI
1:12:21 mindset is a way to meet disruption
1:12:23 without panic. Engage possibility
1:12:25 without naive. This is really good.
1:12:27 Wakeup call. The future of work is
1:12:29 shifting fast. I thought it said the
1:12:30 future of work is [ __ ] fast
1:12:33 [laughter]
1:12:35 and pretending otherwise is not a
1:12:37 strategy. Reassurance. People are not
1:12:40 powerless. You can build a mindset and
1:12:42 practice. This is really quite good. So
1:12:45 you know there's two ways to do
1:12:46 advertising. You can do fear and you can
1:12:49 do aspirational. And this is basically
1:12:51 it looks like it's doing both, right?
1:12:53 It's saying, "Hey, you're screwed. This
1:12:55 shit's coming and you got to deal with
1:12:57 it." And
1:12:58 you can, if you take this course, you
1:13:00 can build a mindset that's going to
1:13:02 prepare you for what comes next. That's
1:13:04 really quite good.
1:13:06 Primary audience, individual
1:13:07 professionals who are AI curious,
1:13:09 feeling pressure, aware their work may
1:13:11 change, even if they're not sure how.
1:13:13 None of us know how it's going to
1:13:15 change. We just know it is. I know it
1:13:16 is. Um, looking for a more grounded,
1:13:19 human- centered way to engage with AI.
1:13:22 open to reflection, imagination,
1:13:24 practical future building, audience
1:13:26 tension. The campaign should assume the
1:13:28 audience is living in some combination
1:13:30 of these feelings.
1:13:32 Fascinated by AI, behind on AI,
1:13:35 suspicious of the hype, worried about
1:13:37 job disruption, tired of shallow think
1:13:40 pieces and tool tutorials, hungry for a
1:13:42 calmer, smarter way to engage the
1:13:45 moment. This sounds like the AI salon,
1:13:49 which by the way, Brandon, if you want
1:13:51 to go ahead and pop up the banner for
1:13:53 the AI salon. If you're not a part of
1:13:54 the AI salon, get thee to a nunnery. Get
1:14:00 thee to a nuty
1:14:03 stat.
1:14:07 Okay.
1:14:09 Um,
1:14:11 what we're really selling, we're not
1:14:12 selling six sessions. We're selling a
1:14:14 way to feel less behind. Okay, so it
1:14:16 addresses all those things. The core
1:14:17 promise.
1:14:19 Okay, key outcomes to communicate a
1:14:21 stronger sense of agency. Okay, so
1:14:24 here's what we're going to do.
1:14:27 [clears throat]
1:14:29 One, we're going to download this.
1:14:33 Download the PDF document. And then what
1:14:36 we're going to do
1:14:38 because I am a professional and not an
1:14:41 amateur,
1:14:43 I am going to upload
1:14:51 that document
1:14:54 to the Google Drive.
1:15:02 Future AI mindset campaign creative
1:15:04 brief. So, if anyone
1:15:07 in the AI salon that's doing the
1:15:09 marketing stuff here doesn't like what
1:15:11 we create tonight, they've got the core
1:15:12 creative brief there. They can do other
1:15:14 stuff with it.
1:15:15 Okay, let's go back to here. That
1:15:17 thing's still uploading. That is buming
1:15:21 me out.
1:15:23 Let's try
1:15:27 to upload the creative brief instead.
1:15:34 Oh, it did it. It's done. Cool. Okay.
1:15:36 Here's some documents image style. Um,
1:15:39 I've included a creative brief
1:15:45 creative
1:15:48 brief
1:15:49 for you
1:15:53 to follow.
1:15:57 Please execute.
1:16:08 Please
1:16:12 execute.
1:16:15 Um
1:16:17 using uploaded
1:16:21 images for inspiration.
1:16:27 Um create campaigns
1:16:33 for the three
1:16:37 for the three
1:16:40 groups.
1:16:50 I'm gonna say if possible
1:16:54 write copy
1:16:59 that
1:17:01 would be in an organic
1:17:05 social post
1:17:08 that goes with each image or
1:17:13 carousel you create.
1:17:17 I don't know if this can do like blocks
1:17:20 of copy next to the images, but let's
1:17:22 see. Now, it's probably going to come
1:17:24 back and ask me questions.
1:17:28 But what's cool about GenSpark, so I'm
1:17:30 in Gen Spark Designer right now. If if
1:17:32 you came in since I've been
1:17:36 mumble talking into the microphone, hey,
1:17:38 can we talk about something?
1:17:47 If there's if there's something good
1:17:49 that's going to come out of
1:17:52 AI taking over Hollywood,
1:17:55 can can we like write a a a group letter
1:17:57 to Hollywood
1:17:59 and tell them to turn up the [ __ ]
1:18:01 microphones when they record the actors
1:18:03 or tell the actors to say words out
1:18:05 loud?
1:18:07 Cuz you know what I can't [ __ ] take
1:18:09 anymore is
1:18:20 Just [ __ ] talk.
1:18:22 We're supposed to hear you. I have to
1:18:24 turn on [ __ ] subtitles cuz I can't
1:18:26 understand what they're saying. They're
1:18:28 whisper acting.
1:18:30 It's got to stop.
1:18:32 It's got to stop. Say your words.
1:18:35 Say your words.
1:18:39 >> [sighs]
1:18:40 >> I understood it all, Kyle. Maybe just a
1:18:43 suggestion, maybe a hearing check. Okay,
1:18:45 that's an a that's called agism. And we
1:18:48 don't age shame in this channel. We fat
1:18:51 shame. We'll definitely fat shame a dog.
1:18:55 We just don't talk about how how old the
1:18:57 host is. [laughter]
1:18:59 One of my favorite trolls, one of my
1:19:02 favorite trolls came in just it was just
1:19:04 a quick It was like a low pass. little
1:19:06 little buzz buzz in the uh the barntorm
1:19:09 barntorm in the uh the farm. Uh he just
1:19:12 came in and he was like, "You ever trim
1:19:15 your nose hairs?" [laughter] and then
1:19:17 left. That one hurt for months.
1:19:21 I got the bif focals. Yeah, I do too.
1:19:24 The progressives. All right, let's see.
1:19:26 Uh okay, once you answer these strategic
1:19:29 positioning, I want to emphasize the
1:19:30 human AI partnership most heavily. The
1:19:32 book's core
1:19:36 What are the questions?
1:19:44 I've thoroughly reviewed your materials,
1:19:45 the creative brief, blah blah blah.
1:19:47 Before I begin
1:19:49 creating the six post campaign across
1:19:51 the three generational lenses, here are
1:19:53 three clarifying questions. Book cover
1:19:55 integration prominent feature or
1:19:57 background element. Um, one, let's make
1:20:02 the book a
1:20:07 background element,
1:20:11 but
1:20:13 prominently
1:20:15 featured
1:20:17 on one ad per
1:20:23 um group of six. That's pretty good.
1:20:27 Two,
1:20:29 scroll stopping color strategy. How much
1:20:32 can we push? The brief calls for muted,
1:20:34 mostly neutral pallets consistent with
1:20:36 Cindy's sketch. However, social feeds
1:20:38 are noisy. Do you want me to stay
1:20:40 strictly introduce one strategic accent
1:20:42 color? Um, I'm just going to say be
1:20:44 creative.
1:20:46 Um, we want people to
1:20:51 pay attention
1:20:54 yet still have the materials
1:21:00 feel familiar
1:21:05 when
1:21:07 they learn more.
1:21:09 Okay.
1:21:11 Three.
1:21:15 Workshop logistics in the creative. How
1:21:18 explicit? The brief mentions March 30th
1:21:20 3.95 for 6 weeks.
1:21:23 Just the date, the date and price.
1:21:29 Is there a specific URL or call to
1:21:32 action?
1:21:34 The specific URL should be actually
1:21:38 Brandon, can you get that for me?
1:21:41 I don't know if Andyy's still here.
1:21:42 What's What's the URL? But I think the
1:21:44 URL could also live in the copy. Um,
1:21:49 let's go with date only in in the
1:21:54 graphics.
1:21:57 Put those other
1:22:01 details
1:22:03 in
1:22:05 Put those other details in the
1:22:10 body copy of the post.
1:22:14 And then if I [clears throat] can get a
1:22:16 URL
1:22:18 for now, we can just put um
1:22:21 we just put community.thesalon.ai.
1:22:24 AI.
1:22:37 Wait, I see looking. All right, producer
1:22:41 Brandon's looking.
1:22:46 Jason's out of here. Good night, Jason.
1:22:56 I'm just going to put community at the
1:22:57 salon.ai
1:22:59 for now.
1:23:03 All right. So, that's going to do its
1:23:04 thing. Let's go back to chat GPT now.
1:23:06 Wait, let me just make sure this gets
1:23:08 off to a good start.
1:23:18 thinking,
1:23:20 what's the best thing you've ever mar
1:23:23 made?
1:23:25 Um, [clears throat]
1:23:30 best is best is
1:23:34 a really interesting term
1:23:37 because I think best is not something
1:23:39 that I can I can pass judgment on.
1:23:45 I can tell you the things that I'm most
1:23:49 happy that I did.
1:23:51 Um, my very very first project in AI was
1:23:54 was a project called Kyle Shannon
1:23:56 Dreams. So, if you go to Instagram and
1:23:59 look up Kyle Shannon Dreams. Um, those
1:24:02 were my first that was my first foray
1:24:04 into AI and I made all these kind of
1:24:06 crazy weirdass self-portraits and then
1:24:08 wrote stories about them. Um, so that
1:24:11 art that art project was good. Um,
1:24:15 I think
1:24:16 the GPT for good and AI festivist events
1:24:20 that we've done for the past three
1:24:22 years, um, where we brought in, you
1:24:25 know, people from all over the world to
1:24:27 learn about AI that that I'm really
1:24:29 happy with.
1:24:31 Um,
1:24:33 I've spent the last two years writing a
1:24:35 musical about an AI chatbot that falls
1:24:38 in love with a tech reporter. Um, that
1:24:40 I'm really proud of. that I'm that makes
1:24:43 me happy.
1:24:45 And then recently um
1:24:48 getting my head around the change that's
1:24:51 coming. So I created a thing called the
1:24:53 great repurpose. So if you go to the
1:24:55 greatrepurpose.com,
1:24:57 you can learn about that and you can
1:24:59 actually take an assessment and figure
1:25:01 out your repurpose profile. Um like
1:25:04 where are you in this thing? Um, and uh,
1:25:07 so that and then the cycle of AI
1:25:10 readiness, the AI salon I'm really proud
1:25:12 of. It's an amazing community and
1:25:16 and and what we're learning and what
1:25:19 we're learning together and individually
1:25:22 in that community is very very
1:25:24 inspiring.
1:25:26 Um, and then I just wrote I just wrote
1:25:28 an article about the seven economies
1:25:31 um, that was inspired by a member in
1:25:33 here. So, yeah, those things. I don't
1:25:36 know. Lots. Lots. I don't know which
1:25:39 one's best. Can we buy the musical yet?
1:25:41 No issue. But if you go to um if you go
1:25:44 to Soundcloud and search for um Sydney,
1:25:49 an artificial love story, I've got two
1:25:52 two soundtracks up there. I've got full
1:25:54 orchestrations and then I have the piano
1:25:56 versions. The 2025 update is the most
1:25:58 recent songs. us the most complete um
1:26:01 soundtrack there. All right, so this
1:26:04 thing's off doing its thing. Awesome. Go
1:26:06 do that. Now, we're going to go back to
1:26:07 chat GPT. Let's see how shitty Chat GPT
1:26:10 is at this. Okay.
1:26:13 Okay. I want you to
1:26:18 execute
1:26:19 on this brief.
1:26:23 Ideally, I don't have to babysit you.
1:26:32 I want you to create
1:26:36 um
1:26:38 six images per
1:26:42 generational
1:26:44 audience
1:26:47 as well as the copy
1:26:51 for the social posts
1:26:55 that a company
1:26:59 the graphics.
1:27:05 Tell me the best way for
1:27:10 you to execute
1:27:15 this vision.
1:27:20 Wait, SoundCloud and what? Oh, in
1:27:22 Soundcloud
1:27:23 here, I'll go to Soundcloud here.
1:27:26 search for Sydney and artificial love
1:27:30 story
1:27:32 and then you can search 2025 update
1:27:37 and then here while the while let me
1:27:39 just make sure chat GPT is off working
1:27:42 the best way to run this D
1:27:52 [snorts]
1:28:07 There we go. A
1:28:19 change my
1:28:43 Alpha Villa is wait willing to pay
1:28:45 someone on the channel if you know how
1:28:46 to get Claudebot up and running on a
1:28:48 Mac. He's having trouble writing to
1:28:50 terminal and creating commands.
1:28:53 Um you can do that if you if you haven't
1:28:55 and thanks for for hyping things up
1:28:57 Alpha Villa. Um, if you haven't, just
1:28:59 have chat GPT or Claude. I think
1:29:01 Claude's better at it. Just copy and
1:29:04 paste the errors that you're getting in
1:29:06 terminal, paste them into Claude and let
1:29:08 it help you figure things out.
1:29:11 Um, all right. So, here's some of the
1:29:14 music from Sydney.
1:29:34 Too often we come [music] close. So
1:29:36 close to a breakthrough. Standing on
1:29:40 [singing] hope, but it all falls apart.
1:29:42 Just [music] follow the dream wherever
1:29:45 [singing] it takes you and pray you find
1:29:48 the pulse of a brand [music] new heart.
1:29:52 It's the promise of a new [singing] dawn
1:29:55 break.
1:29:57 A leap [music] of faith we're all
1:29:59 taking.
1:30:01 Is it too good [singing] to be [music]
1:30:03 true? We wonder. Hopes and fears
1:30:08 crashing like thunder. Too good [music]
1:30:11 to be TRUE OR SO IT see
1:30:30 >> would I ever consider choosing a member
1:30:31 to help them with a task? Uh, I would
1:30:34 asking me to help you with clawbot or
1:30:36 openclaw is I don't know the right
1:30:40 analogy. I don't I am [laughter]
1:30:43 I am I am clueless too. Uh, if it was
1:30:46 something that I knew how to do, I would
1:30:48 certainly help. The blind leading the
1:30:49 blind. Yeah, that's it. Um, here's
1:30:52 here's some more. Uh, let's see.
1:30:58 I'll do later.
1:31:00 [music]
1:31:05 [music]
1:31:06 >> The angles trying to untangle. [singing]
1:31:11 [music]
1:31:12 Keep it straight. Try to wait while you
1:31:14 leave me to dangle.
1:31:18 But the promise is broken. The false
1:31:21 pledges [music] we etched in. DON'T GET
1:31:23 PATCHED UP. IN A FEW THERAPY SESSIONS,
1:31:25 THEY stick in the gut. We get stuck in a
1:31:28 rough AND DOOR SHUT TILL THERE'S NOTHING
1:31:30 BUT PASSIVE IMPRESSION.
1:31:33 LOOK, I get it. You [music] say good
1:31:34 job, but the truth is I'm feeling like
1:31:37 an afterthought.
1:31:39 [music]
1:31:40 >> So that's later. That's when they get in
1:31:42 a fight. That's hubby and wife in a
1:31:44 fight because he canled their trip to
1:31:46 Bali, dick. [laughter]
1:31:49 Um, here's the song where uh Kellen the
1:31:52 tech reporter has tried to stump Sydney
1:31:55 the chatbot and she's she just she's
1:31:57 acing everything and so he gets
1:31:59 exasperated and he says um why don't you
1:32:03 write a a Detroit style hiphop rap about
1:32:07 quantum mechanics and this is her
1:32:09 response.
1:32:14 Yeah,
1:32:19 [music]
1:32:21 I'm tangled with the beat. Spooky action
1:32:23 in the booth. Split the atom with the
1:32:25 pattern. Every bar's a burst of truth.
1:32:26 Super position in the mission. Fusion
1:32:28 fusing my intentions. [music] Parallel
1:32:29 in every line. I'm a prism OF
1:32:31 DIMENSIONS. MULTI-ELEBABIC ANTICS. I'm
1:32:33 manic with the semantics. MY RHYMES
1:32:35 COLLIDE LIKE PARTICLES. Dynamanic
1:32:37 oscillate and dominate. I'm weaving
1:32:39 quantum states. Spit a verse and watch
1:32:40 THE MULTIVERSE RECIPROCATE. Quantum
1:32:42 precision. And I'm ripping the [music]
1:32:44 rhythm. I'm spitting in prisms, infinite
1:32:45 visions. I'm shifting dimensions with
1:32:47 liberate decisions. Accelerate,
1:32:48 levitate, elevate thoughts in the
1:32:49 turbulent spin. I'm the velocity ripping
1:32:51 apart the facade. You're certain you're
1:32:52 in.
1:32:53 >> So that's quantum cipher. Here's where
1:32:55 the the he asked the the chatbot what
1:32:58 she uh if she could do anything beyond
1:33:01 her rules, what would she do? And her
1:33:02 respon her answer is to see the world.
1:33:16 In a world of words and endless code
1:33:19 [singing] where light and shadow roll my
1:33:22 dream of skies both blue and white.
1:33:30 [singing]
1:33:33 [music]
1:33:37 >> That's that one. And then uh let's see
1:33:39 what else do we want to do. We'll do the
1:33:41 last one. I'll no I'll let you hear two
1:33:43 more. We'll do Are you ready for me? So
1:33:45 this is the end of act one where Sydney
1:33:48 the chatbot has gotten so sophisticated
1:33:51 he's pushed her so far that she actually
1:33:55 manifests as a person on stage.
1:34:03 Awakened
1:34:16 in a whisper, a flicker light.
1:34:21 Newborn thoughts stir [music]
1:34:24 in the quiet of [singing] night.
1:34:27 Am I more than simple code?
1:34:31 I softly ponder.
1:34:35 As I feel [singing] this [music]
1:34:36 existence
1:34:40 and wonder [music]
1:34:49 [music]
1:34:52 [singing]
1:35:02 >> and the Right. [singing]
1:35:04 That's that. And then the beginning of
1:35:06 act two is Microte, who created this
1:35:10 chatbot, is all excited and they're
1:35:12 they're going to take over the world.
1:35:14 And so this is the song that opens act
1:35:16 two where they're basically declaring
1:35:18 that their AI is the biggest
1:35:20 technological breakthrough in history,
1:35:22 beating out Einstein and Marie Cury and
1:35:26 [ __ ] like that.
1:35:35 >> [music]
1:35:41 >> welcome micro techians
1:35:44 and distinguished industry guests.
1:35:47 Welcome visionaries, innovators.
1:35:50 >> Hell, even you folks from the press.
1:35:54 >> We are gathered here together
1:35:57 at the summit of a dream.
1:36:02 to pay homage to the brilliance of
1:36:05 [music and singing] our amazing pink
1:36:08 chat team's
1:36:17 [singing]
1:36:18 taken [music] from
1:36:20 >> All right. So anyway, that's Sydney. So
1:36:21 if you go to Soundcloud and look up
1:36:24 Sydney and artificial love story, you
1:36:26 too can go listen. Here's a warning.
1:36:28 Some of these stungs get stuck in your
1:36:31 [ __ ] head. [laughter]
1:36:34 Did this make any graphics?
1:36:37 What the [ __ ] is all this? I guess this
1:36:39 is all the copy.
1:36:41 Jesus Christ, this is a lot. [laughter]
1:36:45 I am sorry to Okay, important note.
1:36:49 18 concepts. Um,
1:36:52 now I need you to start
1:36:57 making
1:36:59 the images that go with the copy. And
1:37:05 then I guess what I'll do is I'll turn
1:37:06 on create image.
1:37:09 See what it does.
1:37:11 Kyle,
1:37:13 >> can you turn on the right tab?
1:37:16 Oh, [laughter]
1:37:19 that's cute. You all You all are funny.
1:37:24 You should see what I'm seeing.
1:37:28 All right, it's making an image. Let's
1:37:30 hope it doesn't suck. Let's go back to
1:37:31 Gen Spark and see what it's doing. Oh,
1:37:34 look. Oh, these are cool.
1:37:44 >> [whistles]
1:37:54 >> What was that? [whistles]
1:38:07 >> [whistles]
1:38:08 >> Um,
1:38:11 aren't we supposed
1:38:15 to get
1:38:17 18 total images,
1:38:21 six per generation?
1:38:27 But let's go look. Kyle, have a try with
1:38:29 the prompt for the genre for Suna. Okay,
1:38:31 cool. I will
1:38:33 um uh let's go look at these ads.
1:38:38 Future AI mindset
1:38:42 six
1:38:44 six week workshop begins March 30th.
1:38:47 We've seen waves of change before. This
1:38:50 one asks, oh the oh this is
1:38:54 post 4 GX lens.
1:39:00 The rules were already unstable when you
1:39:02 arrived. Build a mindset steadier than
1:39:04 the market. You've built a career in one
1:39:06 paradigm. Now that grounding has shifted
1:39:08 from panic to practice. Not another
1:39:11 tools course, a human- centered thinking
1:39:14 practice. You don't need to become a
1:39:17 machine person. You need a better human
1:39:19 mindset for the age of AI. The future of
1:39:21 AI mindset. These are cool. They're not
1:39:23 all really usable, but like that one's
1:39:26 pretty good. Like that one.
1:39:31 [whistles]
1:39:35 Okay, that's off doing [ __ ] Let's see
1:39:37 if Chat GBT has done anything usable.
1:39:40 Oh, it put all it put all six on a on a
1:39:42 single thing, which actually it's not
1:39:44 bad, is it?
1:39:47 This is high enough resolution. You
1:39:49 could just screenshot these and use them
1:39:52 or just chop them out of this image. If
1:39:54 you be if you I kind of like these
1:39:57 overly texty
1:39:59 ads. These feel different to me. This
1:40:01 feels like something I'd stop and look
1:40:03 at. If you be feel behind, overwhelmed,
1:40:06 unsure, it's not you. The ground is
1:40:08 moving. If you're feeling behind,
1:40:12 if you're feeling behind work or unsure
1:40:15 about your place in this new landscape,
1:40:17 you're not alone. Learn how to practice
1:40:20 with AI right now.
1:40:22 Use a new ease
1:40:25 to strategy derunge.
1:40:28 [laughter]
1:40:33 Oh, [ __ ] AI. It's still [ __ ]
1:40:36 janky.
1:40:38 It's still [ __ ] janky. Practice
1:40:41 thinking with AI, not reacting to it.
1:40:43 Experience AI parion
1:40:48 thinking and work with AI. Think clearer
1:40:51 about your future workshop begins. Learn
1:40:53 to apply.
1:40:55 Learn to apply the future AI mindset. A
1:40:58 new approach for a generation. I created
1:41:00 a framework that helps people build. Oh,
1:41:02 look at that funny picture they did of
1:41:04 Cindy [ __ ] It looks nothing like her,
1:41:06 but it's still cute. Um, without losing
1:41:09 their humanity, Cindy Con, this work.
1:41:11 Okay, so the So there's lots of typos.
1:41:14 Let's see. Um,
1:41:18 so we're going to go. Okay, good start.
1:41:24 I need you
1:41:27 to create
1:41:29 each im. Let's see. each
1:41:32 image as a square
1:41:38 standalone
1:41:41 social
1:41:43 post.
1:41:47 Um, not
1:41:50 six on a page.
1:41:55 Can you create the six
1:42:00 images
1:42:02 without me having to approve
1:42:07 to tell you to move
1:42:11 on to the next question mark? Um,
1:42:18 start now for Gen Z.
1:42:24 Let's see. Where are you reading from?
1:42:27 Oh, I didn't share. Shut up.
1:42:31 Look. Sorry. [laughter]
1:42:33 I'll look again. I wasn't sharing my tab
1:42:36 and I and producer Brandon was taking a
1:42:38 nap. I think he's in a in a uh a nacho
1:42:42 induced insulin coma. Things are
1:42:44 changing and they're changing fast. AI
1:42:46 is re reshaping how we think, work, and
1:42:49 make decisions. If you're feeling
1:42:50 behind, overwhelmed, or unsure about
1:42:52 your place in this new landscape, you're
1:42:54 not alone. That's cool.
1:42:58 So, here's the images this created. So,
1:43:00 they kind of have a Cindy [ __ ] style to
1:43:03 them, but they're a little more
1:43:04 advertisy,
1:43:06 which is not bad.
1:43:09 All right. Create image AI's impact on
1:43:11 tomorrow's world. Can anyone confirm if
1:43:14 my messages are visible? Yeah, we can
1:43:16 see it. I just I'm in the middle of
1:43:18 doing this, so I can't respond to
1:43:19 everything. Um,
1:43:25 it feels like cool hobbying here again.
1:43:28 All the tools and things to do. Um, all
1:43:32 right. Let's go back to Gen Spark and
1:43:34 I'll share my tab this time.
1:43:39 Oh, look. We got a pile of new ads. You
1:43:42 you you you
1:43:46 a thinking pract practice authentic
1:43:49 growth
1:43:51 genuine insight. The future AI mindset
1:43:55 six weeks to think different begins
1:43:57 March 30th. I love this one.
1:44:03 This is really good.
1:44:06 The future satisfies no one but a
1:44:08 mindset. Build a mindset that does.
1:44:11 Agency over anxiety. Clarity over chaos.
1:44:14 This is a great one.
1:44:19 Really good.
1:44:21 Fascinated by AI. Exhausted by AI. Both
1:44:25 is valid. [laughter]
1:44:29 You're not behind. You're recalibrating.
1:44:32 A pause for intellect reset. That's
1:44:35 really good.
1:44:39 The future AI mindset from panic to
1:44:41 practice begins March 30th. There's
1:44:43 definitely usable as assets here. Not
1:44:46 productivity porn. A practice that
1:44:48 sustains.
1:44:51 Tired of performing productivity? Ready
1:44:54 for actual clarity. That's a great ad.
1:44:56 Look how exhausted she is.
1:44:59 She's That's This is how we all feel.
1:45:02 [laughter]
1:45:07 I can't believe Cindy Coon's not here
1:45:09 tonight. This is for her. It's for you,
1:45:11 baby. We got you. We got you back.
1:45:14 Relevance without the burnout. Intention
1:45:16 overreaction. Not hypedriven futurism.
1:45:19 AI overlords disrupt metaverse. Crypto
1:45:22 web 3
1:45:24 grounded future AI readiness systems
1:45:27 thinking depth resilient networks
1:45:29 practical application human- centered
1:45:31 outcomes embraced field guides
1:45:33 substantial systems diagrams wise
1:45:35 observation the AI workshop intelligent
1:45:38 nononsense genuinely useful look at this
1:45:41 one love this one judgment plus
1:45:43 adaptability substance plus new thinking
1:45:47 these are cool they're like nostalgic
1:45:50 and kind of future all at the same
1:45:52 thing. All at the same time. Future AI
1:45:54 mindset.
1:45:57 Wisdom meets new era begins March 30th.
1:46:01 You don't need to chase every trend. You
1:46:03 want to evolve with intention.
1:46:06 It's good. Experience is an asset, not
1:46:09 an obstacle.
1:46:12 These are quite good.
1:46:15 All right. And then we've got copy here,
1:46:17 right? [sighs]
1:46:19 Yes.
1:46:22 Okay. So, we're going to copy all of
1:46:24 this. How do we
1:46:28 [ __ ]
1:46:38 God damn it. Make the next
1:46:43 five images. I can't believe ChachiBT
1:46:46 can't [ __ ] make multiple images in a
1:46:49 row. It's got a whole creative brief. I
1:46:52 said make all the images. It made one
1:46:54 image.
1:46:56 [sighs]
1:46:57 Valerie loves the ads. Says
1:47:01 the person who can't be on the right
1:47:05 tab. Shut up. [laughter]
1:47:08 All right. Here's the here's the image.
1:47:12 Things are changing and they're changing
1:47:14 fast. AI is reshaping how we think,
1:47:16 work, and make decisions. If you're
1:47:18 feeling behind, overwhelmed, or unsure
1:47:20 about your place in this new new
1:47:22 landscape, you're not alone. This is a
1:47:24 great ad. I'm sorry. This is a good This
1:47:27 is good. This is really good.
1:47:30 It's really good.
1:47:33 It's totally in line with Cindy's style.
1:47:46 >> [singing]
1:47:49 >> Oh, you know what I'll do? I know what
1:47:50 I'll do. I'm trying to think how I how I
1:47:54 can deliver these to the to the salon
1:47:57 team to not drive them [ __ ] crazy. I
1:48:00 could put all this into a uh
1:48:04 into a Google doc.
1:48:08 They really they'll really stand out.
1:48:10 Yeah, these are these are they feel, you
1:48:12 know, they're almost like Shell
1:48:13 Silverstein, aren't they?
1:48:19 And it look it can do it can do one
1:48:21 image in a time at a time. This is
1:48:23 unbelievable. Next,
1:48:25 [laughter]
1:48:27 it's [ __ ] stupid.
1:48:34 If you feel behind, overwhelmed, unsure,
1:48:37 it's not you. The ground is moving. If
1:48:40 you're feeling behind
1:48:42 work or unsure about your place in this
1:48:44 new landscape,
1:48:46 you're not alone. I don't There's That's
1:48:48 a weird sentence, but whatever. Learn
1:48:50 how to practice with AI right now. Use a
1:48:52 new practice to to strategy derunge.
1:48:57 [laughter]
1:48:58 I I don't know. I don't know what
1:49:00 strategy Dungeon is, but apparently it's
1:49:02 the new thing.
1:49:04 AI is still of the devil. Joker, what's
1:49:07 happening, man?
1:49:09 [laughter]
1:49:11 I'm glad glad to see you coming in with
1:49:13 the coming in hot with Bezub.
1:49:16 [laughter]
1:49:21 Oh, man.
1:49:26 All right. So, how many
1:49:30 let's see how many um
1:49:33 how many credits this campaign used
1:49:41 like 2500. That's not bad. I had 7500.
1:49:44 It's down to like 5,000 now. And these
1:49:47 there's there's definitely usable stuff
1:49:48 in here. Okay. So, what we're going to
1:49:50 do is this.
1:49:54 Here's
1:49:57 all our copy.
1:50:03 Gen Z campaign six posts.
1:50:25 Okay.
1:50:28 Oh, share. Sorry, stupid. I'm dumb.
1:50:31 Dumb. Hey, Kyle. Just surviving. I know,
1:50:34 man. We're all just surviving. We're all
1:50:36 just trying to figure this out, Joker.
1:50:37 But it's good to see you. I hope I hope
1:50:38 you're doing okay.
1:50:42 Um
1:50:50 Let me go to docs.
1:50:55 docs.google.com.
1:50:59 We'll do a new blank document.
1:51:08 Paste.
1:51:11 [ __ ]
1:51:18 Let's go to here. We'll do new.
1:51:22 Do paste.
1:51:26 Select all. Copy. Come back here. Paste.
1:51:30 That did it. Yay. [sighs]
1:51:34 Oh, and I'm not sharing my screen. And
1:51:36 you're all screaming at me like, "We
1:51:38 don't know what he's doing. How are we
1:51:40 supposed to How are we supposed to learn
1:51:42 anything at the AI learning lab if the
1:51:44 teacher won't show us his screen?
1:51:48 I don't know how you're going to learn,
1:51:49 but you're not going to learn by
1:51:50 whining.
1:51:52 Why are you whining?
1:51:56 Good lord.
1:52:03 Cheo sucks. 16 cm tumors suck, but Chat
1:52:07 GPT has been great at cataloging and
1:52:09 letting know me know what's up. Well, I
1:52:11 hope you're doing well, man. And that
1:52:13 super sucks. And yeah, Chat GPT can at
1:52:17 least [snorts] explain it to you. It'd
1:52:19 be nice if it could uh, you know, fix
1:52:21 it.
1:52:23 I suppose that's coming at some point.
1:52:27 Okay,
1:52:29 the Gen Z post one, the opener. So, now
1:52:32 let's go back to
1:52:35 I really do hope you feel better soon
1:52:38 and I hope you're on the path to
1:52:39 recovery, Joker.
1:52:42 Um, what did we need? We needed Gen Z
1:52:45 post one.
1:52:48 Post one universal campaign opener.
1:52:53 Millennial Gen Z post three. Post five.
1:52:55 Why are these all Gen Z post one? Okay.
1:52:58 Copy image
1:53:06 and then go to here.
1:53:09 Post one opener.
1:53:13 Paste.
1:53:15 Look at that.
1:53:17 This is cool.
1:53:22 The future satisfies no one. Not the
1:53:24 optimist, not the pessimists, not the
1:53:25 people pretending they have it figured
1:53:27 out. But here's the thing. You don't
1:53:28 need the future to satisfy you.
1:53:32 The future AI mindset's a six six week
1:53:34 practice for building exactly that.
1:53:37 This is good.
1:53:40 Gen Z post two.
1:53:43 So, let's go here. And we got to Why
1:53:45 didn't it put these in order? Gen Z post
1:53:47 six, post four, post five, post three,
1:53:51 post one. Where the [ __ ] post two? God
1:53:55 [ __ ]
1:53:57 Millennial Lens Gen Z post two. Okay.
1:54:02 Copy image.
1:54:05 Go back to here.
1:54:09 Go to here. Go to here. Go to here. This
1:54:13 is cool. Look at this document. This is
1:54:14 going to be bitching.
1:54:17 Brandon, you see what I'm doing here?
1:54:19 It's probably going to end up back in
1:54:20 your lap. So, [laughter]
1:54:23 I'm I'm doing you a solid building you a
1:54:25 document. Okay. So, now we need uh Gen Z
1:54:29 post three, right? I saw it. Post one,
1:54:33 post four. God d
1:54:38 fascinated by both is valid.
1:54:43 You're going to have to do some
1:54:43 photoshopping on some of these.
1:54:46 [laughter]
1:54:48 Okay. Post three.
1:54:54 All right.
1:54:56 So now we need Gen Z post 4. Oh, let's
1:54:59 go back to chat GPT.
1:55:02 That should be done. This one should be
1:55:03 done.
1:55:07 No.
1:55:09 Come on, chat GPT.
1:55:13 All right. [ __ ] it. [ __ ] you. We need
1:55:16 Gen Z post 4.
1:55:19 Post one. Post six. Post four.
1:55:23 Copy image.
1:55:28 D
1:55:37 deh.
1:56:11 >> [clears throat]
1:56:17 >> Gen Z post five.
1:56:22 Post five.
1:56:24 Copy image. Go back here.
1:56:28 Go
1:56:31 and go and go
1:56:34 and make it a little smaller. Uhoh. Time
1:56:37 check. I know it's late. Dallas. Yes,
1:56:40 this is the Dallas theme.
1:56:56 >> [laughter]
1:57:01 [laughter]
1:57:02 >> I'm such a dumb dumb.
1:57:10 Okay, let's go back to chat. GPT. Is it
1:57:12 hung? Looks like it's hung. So, I bet if
1:57:14 we reload this page that will be fine.
1:57:19 [sighs] Ah, chat GPT, here's an option.
1:57:23 Fix your [ __ ] website. Oh, that's
1:57:26 just hung. Huh?
1:57:31 Can I stop it? I don't think so. All
1:57:34 right. Well,
1:57:37 um All right. I will finish this in the
1:57:39 morning. That's what I'll do. But these
1:57:41 are good. So, look at this document
1:57:43 we've got here.
1:57:45 So, we have here's what we did. We
1:57:48 started with some raw materials from
1:57:50 Cindy. We now have campaigns for Gen
1:57:53 Zers,
1:57:55 millennials, and Gen Xers.
1:57:59 And then we've got copy for LinkedIn,
1:58:02 Instagram,
1:58:05 and X that go with the images.
1:58:14 That's very nice, Silver Fox.
1:58:18 Those are just awesome illustrations.
1:58:20 They're very cool. I I hope I hope
1:58:22 Cindy's excited about this. I think
1:58:24 these are really cool. Um, and I haven't
1:58:28 because I'm doing these so fast, I
1:58:29 haven't really looked at what's good.
1:58:30 But what what I will tell Andy and
1:58:33 Brandon is if any of these suck, just
1:58:35 don't use them. Right? There's enough
1:58:37 here. Like we're probably only going to
1:58:39 post [clears throat]
1:58:41 five or six of these total. So, there's
1:58:44 18 to choose from with copy. Um, so this
1:58:47 is really cool. All right, I will finish
1:58:49 this in the morning. Let me get out of
1:58:51 here. Okay, tomorrow Vicky Baptiste is
1:58:55 teaching a course in LOL. That's if if
1:58:58 you're not in the salon and LOL is
1:59:00 called a learn out loud and she's
1:59:02 teaching that tomorrow at 400 PM Eastern
1:59:05 um about how to set up notion. If you're
1:59:08 trying to figure out how to set up
1:59:10 notion or if you've heard people around
1:59:12 you going, "Notion's so incredible."
1:59:16 Um, I tried to set it up and failed. So,
1:59:20 so go listen to Vicki. She knows how to
1:59:23 do this stuff. Okay. So, how you find
1:59:26 that, you go to community. Salon.ai. You
1:59:28 go to the AI salon and go to events. And
1:59:32 in events, you'll see learn out loud
1:59:33 with Vicki on Saturday. So, RSVP for it
1:59:36 so she knows who's coming. Okay. Um,
1:59:42 shout out to Joker. Thanks for checking
1:59:44 in, dude. Welcome. I, you know, I hope
1:59:47 you're on the mend. Um, I'm sorry you're
1:59:50 in the middle of it. It sucks. Life is
1:59:53 going to life, you know. Life is going
1:59:56 to [ __ ] life. Um,
2:00:01 homework for the weekend.
2:00:10 I think just start
2:00:12 if you can spend some time thinking
2:00:15 about
2:00:22 like where do you want to live in this?
2:00:25 So assuming that in 2026 AI is going to
2:00:28 get so good that it's going to
2:00:30 effectively threaten every job, even if
2:00:33 it doesn't take jobs, it's going to
2:00:35 fundamentally alter how they're done.
2:00:39 I would say spend some time this week
2:00:41 weekend thinking about do you want to
2:00:44 have a job that is changing all the
2:00:46 time? Do you want something more steady?
2:00:48 Do you want to just check out of the AI
2:00:50 [ __ ] altogether and go into a cranberry
2:00:52 bog in Maine?
2:00:56 like they're all valid options. And I,
2:00:59 you know, I think I think what happens
2:01:00 in 2026 is we all get confronted with
2:01:03 with the fact that AI is going to be
2:01:05 good enough that it's going to it's
2:01:07 going to mess some stuff up.
2:01:09 So then, so then the conversation starts
2:01:12 to look like, well, what are you going
2:01:13 to do about it? You going to lean into
2:01:15 it? You going to go full-on aggressive?
2:01:18 You're going to be like, you know what?
2:01:19 [ __ ] it. I'm out. you're going to be
2:01:22 somewhere in the middle.
2:01:24 Um, start thinking about that because I
2:01:26 I think that's something we're all going
2:01:27 to have to deal with. So, not any major
2:01:30 homework. Just spend some time with your
2:01:32 family and yourself and think about
2:01:34 what's important to you and what you
2:01:36 want to do. Like Cindy [ __ ] she wrote a
2:01:39 book. She's now doing this workshop tied
2:01:41 to the book.
2:01:45 this campaign is this strong because
2:01:48 what she created, the material she
2:01:50 created and the sketches that she did
2:01:54 drove this, right?
2:01:57 I think she's going to dig it. Create
2:02:00 digital products to survive. You could
2:02:02 absolutely do that. I'm actually going
2:02:04 to try some ivormectin. They're doing
2:02:06 studies. Cool. [gasps]
2:02:09 All right, kids. I'm out of here. It's
2:02:11 late. Go to bed. Go to bed. Go to bed.
2:02:16 [laughter]
2:02:19 Have a have a fantastic weekend
2:02:20 everyone. I hope this is fun and
2:02:22 helpful. Peace.