4/7/2025 - The Cycle of AI Readiness: Play, Create, and Lead in a Technological Landscape

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0:06 [Music]
0:15 shoes at the
0:17 same time.
0:20 [Music]
0:39 Not simple to say that most
0:43 days I don't recognize me with these
0:47 shoes and the place and his
0:50 patience taking more than I can.
0:55 It's not easy to know. I'm not anything
1:00 like I used to be. Although it's true, I
1:03 was never attention
1:06 sweet. I still remember that
1:09 girl. She's imperfect, but she tries.
1:14 She is good, but she
1:17 lies. She is all of herself.
1:21 She is broken and don't ask for help.
1:25 She is messy, but she's
1:28 kind. She's
1:31 lonely. Most of the time she's all of
1:34 this mixed up and baked. Beautiful
1:38 pie. She's gone, but she used to be
1:42 mine.
1:45 [Music]
2:02 Why are you rapping? There's no rapping
2:04 in
2:06 Waitress. He doesn't understand his
2:08 genres. See, that's a song from a
2:10 Broadway musical. Waitress. Sarah
2:13 Bareilles. Beautiful song. Lovely song.
2:15 It's got no rap in it. And then he just
2:18 breaks into rap at the end of the
2:21 song. Oh, champ. What are we gonna do
2:23 with you? What are we gonna do with
2:25 [Music]
2:31 you? You want to rap to Simon and
2:33 Garfuncle?
2:35 Huh? Yeah. You don't want to sing now,
2:37 do you?
2:43 [Music]
2:51 Let us be lovers. Well, marry our
2:54 fortunes
2:57 together. I've got some real estate.
3:00 He's now
3:01 [Laughter]
3:05 pouting. Champ, he's pouting. He doesn't
3:08 Him don't like to be yelled at. He don't
3:10 him don't like to be told he can't rap.
3:12 He wants to rap. And now he's just like,
3:15 "Well, then I won't sing at all. I'll
3:17 just lay here facing away from
3:20 you, butt aimed at you." Right, Champy?
3:26 [Music]
3:49 Sitting in this lonely town.
3:52 Yeah. Wonder when things are going to
3:57 change. Dream my love away.
4:01 Seems these dreams have turned to bunch
4:04 dust
4:06 clouds in my
4:08 nerve. But my past is full of me
4:12 [Music]
4:14 down. Wondering how
4:17 long this black sheep don't stick
4:20 around.
4:23 [Music]
4:26 Somebody told me once before he said you
4:29 can never go home again. Won't you
4:33 leave? Said the things to scare me away.
4:37 Yeah. From the truth of who I am and
4:40 what I believe. So I thanked him for two
4:44 cents and a
4:45 handshake and some sympathy. Yeah.
4:50 Packed up my blue jeans and headed for
4:54 this big
4:56 prize of my
4:59 freedom.
5:01 Bye-bye black sheep to the black sheep
5:05 of the
5:07 family.
5:11 Bye-bye. Oh, that means so very much to
5:14 me. Yeah.
5:16 Bye-bye, black sheep.
5:19 to my friends and my
5:23 [Music]
5:26 family. Don't set my
5:30 soul. Set it
5:33 [Music]
5:40 free. Oh, good people. Happy
5:43 Monday. What's shaking? What's going
5:46 [Music]
5:47 down? Dr. Jay in the house, Steo, Mr.
5:52 It. Who else we got? Do me a favor, tap
5:55 the like screen, share the live if you'd
5:58 be so kind. Let's see if we can get some
5:59 more people in the house.
6:04 [Music]
6:41 Yay! Woohoo!
6:44 [Music]
6:46 Oh,
6:49 [Music]
6:59 champ. She came on here like a slow
7:03 moving cold
7:05 [Music]
7:07 front. Well, his beard was warmer than a
7:11 look in her eyes.
7:17 She sat on the stool and he said, "What
7:21 do you
7:23 [Music]
7:26 want?" She said, "Give me a love that
7:30 don't freeze up inside."
7:35 [Music]
7:42 said I have melted some holes in my time
7:48 dear. But to sit next to you, well, I
7:52 shiver and shake.
7:54 [Music]
7:55 [Applause]
7:58 If I knew love, well, I don't think I'd
8:01 be
8:02 [Music]
8:05 here asking myself if I've got what it
8:09 [Music]
8:13 takes. Uh, you melt your icy
8:17 [Music]
8:22 heart. Should I stop?
8:26 Turmo's been frozen
8:28 for
8:32 years into a river of
8:37 [Music]
8:45 tears. Oh, good lordy. Techie Becky was
8:49 shaking.
8:50 [Music]
8:59 I think I might get philosophical
9:03 tonight. Oh, great. I thought we were
9:05 coming here to learn technical
9:08 skills. I'm studying prompt engineering.
9:10 I took a course. I bought it off Tik
9:12 Tok. It said if I learn these technical
9:14 skills, I'll make money with chat
9:16 GPT. So, I can't I I see AI learning lab
9:19 and I'm like, well, I'm going to learn
9:20 some technical skills here. And now
9:22 we're going to talk philosophy.
9:24 Philosophy. Phil, how do you say that
9:25 word? Philosophy. Philosophy.
9:29 Philosoph
9:31 philos thinky talk. We're going to do
9:34 thinky talk. I don't want thinky talk. I
9:36 want to learn
9:39 skills. Good lord,
9:41 people. Hey,
9:45 Jeff. What's shaking? Jeff's good with
9:48 philosophy talk.
9:51 P.
10:06 [Music]
10:34 Um, what are we going to do
10:36 tonight? Source Camp's
10:39 here. She can tell us. Okay, Source
10:41 Camp, you set the agenda tonight.
10:43 I was going to go I was going to go
10:45 review some of the basics of the of
10:49 the experience in the AI
10:52 salon like the journey to AI readiness,
10:55 the the AI um five stages of AI adoption
10:59 or AI acceptance or AI mastery.
11:09 Um, I was going to talk about our values
11:12 and why they're important. And then I
11:13 was gonna talk about Here's a thing
11:15 that's been I did a I did I recorded a
11:18 podcast today with someone else. I got
11:19 invited on someone else's podcast. Um,
11:22 thanks to Anne Murphy who introduced me
11:23 to Tim. Tim had me on his
11:26 podcast.
11:30 And what struck him about me was my
11:33 optimism. And he was like, "Why, you
11:36 know, why are you so
11:38 optimistic?" He's like, "Couldn't bad
11:40 [ __ ]
11:42 happen?" And so I was like, "Yeah, bad
11:44 [ __ ] could happen, but like all of the
11:46 bad [ __ ] that can happen is completely
11:47 out of my control,
11:49 right? What's in my control is I
11:55 can I can
11:58 choose to be curious. I can choose to
12:02 understand what this AI stuff
12:06 is. I can choose to engage with a
12:09 community of like-minded people who are
12:12 similarly curious.
12:14 So, like those are all things I can do
12:16 and
12:17 and but then we dug deeper and and one
12:20 of the things one of the reasons I'm
12:22 optimistic is because I get to witness
12:24 on a daily
12:25 basis members of the AI salon
12:28 reinventing
12:31 themselves. And very often that
12:33 reinvention is is
12:39 is
12:43 emotional because it's often like they
12:45 they told themselves when they were kids
12:48 that they couldn't do something or they
12:50 had a dream that they gave up on and now
12:52 they've kind of rediscovered a passion
12:54 for that thing or they've discovered
12:57 some new passion in themselves that was
12:59 latent. You know, we talk about the
13:01 latent space, this big mathematical
13:03 space. Well, humans have latent space,
13:05 too. It's it's where we jam our
13:08 emotions. You know, when we start about
13:09 five, when we realize that the the world
13:12 is a dangerous place, we start smashing
13:15 who we are down into this latent space
13:17 in our
13:19 soul. We're subconscious if you're not
13:22 soul
13:23 [Music]
13:27 friendly. And so one of the things that
13:30 AI is doing for people is reconnecting
13:34 them
13:35 with things in their latent space that
13:38 they forgot was even
13:41 [Music]
13:43 there. I think that's pretty [ __ ]
13:46 amazing. Why would you not be optimistic
13:49 about something that can do that? So I
13:52 figured we'd talk about that [ __ ]
13:53 tonight.
13:59 [Music]
14:02 Good question, Brian. Is there an AI
14:04 tool website that can do
14:06 genealogy ancestry
14:10 research? I don't know. Have you tried
14:12 chat
14:13 GPT or Perplexity? They can do research.
14:16 Research. You could try Manis. Have
14:19 Manis dig deep and go find stuff. I
14:22 think any genealogy stuff that's behind
14:24 a payw wall, it won't
14:26 find.
14:28 [Music]
14:33 So, I mean, you could do something like
14:35 go
14:38 into one of the genealogy sites, pay for
14:42 it, get the names of your family tree,
14:44 and then go have Manis research the [ __ ]
14:46 out of people. That would be kind of
14:48 cool.
14:51 Dave Shap had a good talk
14:53 about
14:55 15 bad takes from doomers. Yep, that
14:58 doesn't surprise
14:59 me. I've had good luck with genealogy
15:03 using chat GBT. Yeah, that doesn't
15:04 surprise me
15:05 [Music]
15:13 either. Mr. Philosophical Nights are the
15:17 best. We don't need to learn any crap.
15:22 I talk a lot about the mind shift needed
15:24 to work with AI. It's not just about the
15:26 tools. Yeah, that's kind of where I was
15:28 that's where I was thinking, Kelly,
15:31 that like what is AI readiness and how
15:34 do we get there?
15:36 And I think even for those of us that
15:39 show up here night after night, just a
15:42 reminder is not a bad
15:45 thing because the tools like I feel I
15:48 talked about this in one of the
15:50 meetings, the Cindy [ __ ] meeting. I was
15:51 in the AI prototyping club in the
15:54 salon
15:55 and like I feel excited about AI again
15:59 for the first time in like six months.
16:01 like excited that it
16:03 it's it's leveled up. Some some things
16:07 have leveled up
16:08 that feel magic
16:11 again. It's amazing to me how fast we
16:14 get we get complacent with with the
16:18 tools that blew our minds six months
16:20 ago.
16:24 [Music]
16:28 Oh, Family
16:30 Search is free. It offers AI assisted
16:34 record search and family tree building.
16:36 Cool. From
16:37 [Music]
16:40 chat, producer Brandon's going to tell
16:43 paid on me that I said magic.
16:46 [Music]
17:17 I could show you some of the [ __ ] I've
17:19 been
17:20 [Music]
17:45 Right. Emily Sullivan. I'm still blown
17:49 away. Chachi BBT helped me write a sign
17:52 for the handsoff protest. It can do
17:55 hands
17:56 now. Although, you know what it can't
17:59 do? Well, this is a fun one. Watch this.
18:02 This is This is still hilarious. And I
18:05 Someone told me that this this is about
18:08 to get fixed.
18:15 Um, make
18:19 me a
18:22 single
18:25 cell on a
18:28 page that has a
18:31 round wall
18:35 clock. And the time on the
18:39 clock
18:43 is
18:44 three. No,
18:47 four. Let's see.
19:00 47. The 1010 paradox. Yes. Yes.
19:06 10 10. It is always 10 10 in a land.
19:11 Always 10 10.
19:14 [Music]
19:52 There's been something, baby, I've been
19:54 trying to say
19:58 on age and it seems I don't know
20:03 how the past and the future now
20:07 surrounding
20:10 me. Surrender to whatever cheap thrill
20:13 can be
20:14 [Music]
20:16 found. There's been a little
20:19 trouble since you came to my rescue.
20:23 [Music]
20:26 [Applause]
20:28 And if you were like all of the rest, I
20:31 would have quit you long ago. But I
20:34 couldn't do
20:41 that. Women and wife never went too
20:47 well. Make a man crazy, make him cold as
20:51 [Music]
20:53 hell. I know woman that you wish me
20:58 well, but in spite of your
21:01 trying, still going to have to find my
21:05 way through.
21:09 So, the reason it can't do
21:12 time at
21:14 all is
21:17 because watch
21:19 manufacturers probably hundreds of years
21:22 ago decided that the hands and the in
21:25 the on the 10 and the two are the most
21:28 visually pleasing. And so all of the
21:31 photographs of all of the clocks in all
21:33 of the
21:34 world are set to this
21:39 time. So what's the other one? A water
21:41 skier behind a rowboat. All right, let's
21:43 try that one.
21:46 Um, make
21:47 [Music]
21:49 me a
21:51 drawing of a water
21:55 skier being pulled behind a
22:00 rowboat. I haven't done this one before.
22:03 I don't know why this one breaks or how
22:04 it breaks. If it doesn't know what time
22:07 it is, there's no time in the AI world
22:09 or it's always the same time. Time
22:11 doesn't pass in the in the world of AI.
22:14 I asked C-Pilot to translate a document
22:16 and it
22:17 said not the whole
22:19 dock. I the the the um the guard rails
22:24 that they're putting on these systems
22:25 are just [ __ ]
22:27 stupid. An old driver's ed instructor's
22:31 manual.
22:42 [Music]
22:59 Doo da.
23:01 [Music]
23:07 [Music]
23:11 You and I here all
23:15 alone. Sunday morning here at
23:20 home. Skies blue and a coffee strong.
23:24 It's
23:25 [Music]
23:28 true. Then I open my eyes to a dream
23:32 realized in front of me.
23:37 And I haven't got a clue what in the
23:40 world is that seems like it did that
23:42 one. I mean, the or is missing, but
23:45 that's a rowboat with a water skier
23:47 behind
23:51 it. I don't know what to tell
23:53 you. But anyway, apparently there's some
23:56 image model out there making correct
23:58 clock times. And the rumor is that it's
24:01 the new uh chat GPT image gen. I'll
24:04 believe it when I see it. I don't buy
24:06 it. I don't bath, people. I don't
24:10 bath. All
24:13 right.
24:15 Um, those three little
24:19 imperatives, play
24:22 first, mindfully, create, generously
24:25 lead.
24:27 [Music]
24:34 That's not a water skiing. What? It does
24:40 something that looks
24:44 similar. That's water
24:48 skiing. He's on a
24:53 ski. Water
24:57 skiing. See?
25:02 Is it worth it to pay for Manis if
25:05 you're going to use
25:06 [Laughter]
25:09 it? I mean, I have access to it. I don't
25:12 really use it.
25:14 [Music]
25:27 Yeah, 39 bucks is a bit much.
25:30 $39 is a bit much
25:36 much. Um, okay. So, listen. Here's the
25:40 deal.
25:43 Um, here's the thing that's worth
25:46 talking
25:47 about, especially if you're new to AI,
25:50 but even if you're
25:52 not, I think that there is
25:58 a a gravity that pulls people
26:02 instinctively
26:05 toward using AI as an efficiency tool.
26:12 Right? It'll write emails faster. It'll
26:16 make marketing plans faster. It'll
26:19 There's a draw toward
26:21 efficiency. And here's my theory on
26:23 that. I got a theory on
26:25 it. Or is it a
26:29 hypothesis, a
26:32 hypothesis? I don't know.
26:35 I'll tell you what it is and then you
26:37 guys tell me if you think it's a theory
26:38 or a
26:47 hypothesis. $30 is a bit much, said the
26:50 man who paid $200 for chat GBT. Yeah, I
26:54 think I'm going to undo my $200 ChatGBT
26:56 subscription because I don't use 01 Pro
26:59 all that much and everything else you
27:00 can get in the $20 version now.
27:03 [Music]
27:05 Um, wait. What was I just talking
27:10 [Music]
27:13 about? Oh, efficiency.
27:16 Okay. So, the reason I think we we lean
27:20 toward efficiency with
27:22 AI. I undid mine today, the day after I
27:26 was charged. Yeah, I'm probably going to
27:28 be in a similar boat. Yeah, whatever.
27:31 What are you going to do? Um,
27:34 okay. For all of my life, so I got my
27:38 first
27:39 computer in uh access to my first
27:43 computer in seventh grade in
27:46 1977, a Radio Shack TRS80 in my advanced
27:50 mathematics
27:51 class. I wasn't I wasn't good at
27:54 advanced
27:55 mathematics. It was seventh grade, so it
27:58 wasn't that advanced. and it was really
27:59 just an excuse to get next to the
28:02 computers.
28:06 Um, for all of my life up until November
28:11 30th,
28:13 2022, the whole role of
28:17 computers was to take what we did, the
28:20 work that we did, and make it more
28:24 efficient, right?
28:29 And you can sort of trace a lot of
28:31 technologies like that, right? The the
28:34 calculator
28:36 made longhand mathematics more
28:40 efficient. The spreadsheet made the
28:42 calculator more
28:43 efficient. Automations in the
28:45 spreadsheets made spreadsheets more
28:48 efficient.
28:50 Algorithms made automations more
28:52 efficient. Right? It's just you just
28:54 work you're just working your way up the
28:56 efficiency chain,
28:58 but it's making our work more
29:05 efficient. And AI can do that. AI can
29:08 act
29:09 like a
29:11 computer and make the [ __ ] you do more
29:14 efficient.
29:18 But it it just it feels like that's such
29:20 a small slice of what this new era is
29:24 about. Chat GPT. What's the
29:28 G? The G in GPT is
29:33 generative. For the first time in our
29:36 lives, the computer is generating
29:39 generating original
29:41 work. Not our work, its work. We give it
29:45 imperatives.
29:48 We guide it. We prompt it to do the work
29:51 to
29:53 generate. But it's not just processing
29:55 data. It's not just processing our
29:58 work. It's making wholly new
30:05 stuff. And it's doing that in many many
30:09 many many different disciplines.
30:13 And so one of the things that I would
30:15 encourage you to
30:16 do is play first. And and what that
30:20 looks like
30:21 is if if you're like, I'm learning AI.
30:24 I'm going to take my job. I'm going to
30:26 make it more
30:29 efficient. And especially if you do what
30:32 I just did. If you like make that
30:37 sound more
30:41 efficiency, you're probably not a lot of
30:43 fun at a party.
30:49 Go
30:50 play with an AI
30:53 tool in a way that feels frivolous and
30:56 feels not about making your work more
31:02 efficient. Go have it write a poem. Go
31:04 have it write a song. Go make a picture
31:06 of a dog. Go make a song about a
31:09 fart. Stuff that is outside of your
31:12 purview of of excellence. your your
31:15 your area of
31:18 competence and play in the periphery of
31:21 that. You can still do the
31:23 efficiency [ __ ] that doesn't I mean yeah
31:26 go do that but play in other places and
31:30 then mindfully create is when you start
31:33 to learn things in in these areas that
31:36 you're not familiar with.
31:39 Go back to problems that you want to
31:41 solve that either were problems you
31:43 couldn't solve before or you didn't have
31:45 the bandwidth to solve before, you
31:48 didn't have the passion to solve before
31:50 or you didn't think were
31:51 solvable. And maybe something that you
31:54 played with along the way, you now look
31:56 at that same problem and you're like,
31:58 "Oh, wait a minute. Maybe I can. I mean,
32:02 we just had someone that made a poster
32:05 for the
32:07 protests and and was blown away by that.
32:10 Why? Because she
32:12 probably isn't good at the making
32:14 posters by
32:17 hand. All right. Or didn't have time for
32:20 it. And she was over here playing off to
32:23 the side in the a protest coming up. I
32:25 need a sign. Hey, Chat GPT, make me a
32:28 sign. and it did and it didn't
32:33 suck. So mindfully create is about
32:36 taking the problems that you thought
32:38 were solvable in a particular way and
32:41 looking at them fresh again with your
32:44 newfound knowledge of
32:47 playing. And then the generous
32:49 leadership part is share that
32:54 [ __ ] Share what you're learning. come
32:56 on to the AI learning lab and said,
32:57 "Hey, I made a sign for a protest." And
32:59 I'm totally blown away because you know
33:02 what? Someone else will read that
33:04 comment and go, "Wait, you can make a
33:07 sign for a a protest. How did you do
33:10 that?" Oh, here I'll show you. So there
33:13 you build a friendship. You also
33:15 establish yourself as a leader.
33:22 Brandon, what was the what's the
33:23 company? The CEO just put out the memo
33:25 or the thing was leaked. His memo was
33:27 leaked.
33:29 Shopify. The CEO of Shopify. There there
33:32 was a memo that was
33:36 leaked. And what was in the memo?
33:45 They're
33:49 prioritizing AI forward people in their
33:53 hiring. I've talked in this channel for
33:56 two [ __ ] years. Put yourself out
33:58 there. Start learning AI. Go play with
34:01 it. You don't need to be a technician.
34:03 Just go play. Go play. Start building
34:05 [ __ ] and start sharing it out loud. For
34:08 two years, I've been talking about
34:11 this. And many people in the salon have
34:13 survived layoff rounds because they've
34:17 been visibly AI literate within their
34:22 organization. Well, now it's starting to
34:25 become apparent that those getting
34:29 hired better [ __ ] have some [ __ ] on
34:32 their
34:34 resume, right? Member of the AI salon
34:38 and irregular on the AI learning lab.
34:40 They don't know what the [ __ ] the AI
34:42 learning lab
34:44 is. I made a digital twin. I I made a
34:48 custom digital
34:49 twin. They don't know what that means.
34:52 How did you make a digital twin? Tell me
34:54 about that. It's something good to talk
34:56 about in an
34:59 interview. Start putting yourself out
35:02 there. All
35:05 right,
35:07 Gareth. Yes. I got hired for a role
35:10 because I posted on
35:15 LinkedIn. I made this in AI. Some hiring
35:18 manager is like, "Oh my god, I need to
35:20 find someone who knows AI." Who's this
35:23 Gareth guy? What's he made in AI? Oh,
35:25 that's pretty. How did he do that? Let
35:27 me reach out to
35:31 him. All right.
35:35 And this is not a one-time journey, you
35:38 know, we call it the journey to AI
35:40 readiness. This is this is a cycle. It's
35:44 a
35:47 loop. Oh, in fact, you know what would
35:49 be cool? No, Kyle, tell us. I'm going to
35:53 copy this
35:54 image. We're going to go over
35:56 here. We're going to make a new thing.
35:59 I'm going to paste this in here. Can you
36:00 all see this? Sort of. Failed to upload
36:04 chat. GPT, could you get your servers to
36:06 [ __ ]
36:07 work?
36:08 Okay.
36:11 Um,
36:14 this is the journey to AI
36:20 readiness. I love the
36:23 look and feel of this piece with the
36:29 neon and background images.
36:38 But there is a
36:40 problem. Look, we're mindfully creating.
36:43 We have a
36:44 problem. What's the problem, Kyle?
36:47 What's the problem? The problem
36:51 is that's linear, but this isn't a
36:55 linear
36:56 thing. So, we're going to go back to
36:58 chat jet.
37:02 But there is a
37:08 problem. This
37:12 journey
37:14 is
37:15 represented as
37:20 linear yet it is a cycle.
37:28 Help me re
37:34 imagine this as a
37:37 cycle with play
37:44 first at the
37:53 top. All right, let's see what it does.
37:57 Let's see what it does. This is better
37:59 than manic Monday. I might get manic.
38:03 Someone puts a comment in here that
38:05 sends me. Did I hear Frank? You might
38:06 have. He's close. He's He's always just
38:10 around the corner. Great eye, Kyle.
38:12 You're totally right. The linear
38:14 presentation
38:16 here. Uh, would you like me to generate
38:18 the mockup image? Yes. Make
38:22 a
38:24 16 by 9 wide
38:29 image. Yeah, that's fine.
38:35 Go. Is this meaningful
38:39 Monday? And if people don't like it, I
38:42 don't think I want to work with them.
38:43 Yeah. Well, listen. I mean, you know,
38:46 when you need a job, you're like, I'll
38:47 work for anyone. But honestly, do you
38:49 want to work for someone that isn't all
38:52 in on
38:53 AI? I mean, honest to God, you don't
38:56 think that every [ __ ] company is
38:59 going to be up against
39:01 it? Their competitors are going to come
39:03 at them from all angles? All these
39:06 people that are going to get laid off
39:08 are going to go start companies to
39:09 compete with the ones that laid them
39:11 off. Mark my
39:13 words. And if the if the incumbent
39:16 companies are resisting AI or if they're
39:18 arrogant about their business model, you
39:20 watch. They're going to be there. It's
39:23 this this is time for
39:24 [Music]
39:36 popcorn. Oh, I want to show you some
39:38 other cool thing I did here. I'll show
39:39 you in a second.
39:41 [Music]
39:44 Is this
39:46 place I can rest my poor
39:50 [Applause]
39:53 head to gather my thoughts in sweet
39:57 [Applause]
40:00 [Music]
40:02 silence. This is the place where the
40:05 feelings are dead. Wow, look how cool
40:07 that is.
40:09 Uh except it's generously lead
40:12 uh let's see um
40:16 mindfully
40:20 create
40:22 should be
40:25 second bottom
40:29 right. Let's see if it fixes it for
40:33 [Music]
40:35 us. But isn't that cool? Like it kept
40:37 the style.
40:45 [Music]
41:01 Uh, what is going on?
41:04 Oh, dang dang dang play
41:07 [Laughter]
41:10 least. It's still janky. It's still
41:13 janky. It's still janky. Yeah. All
41:16 right, let's paste the original back in
41:18 there.
41:19 Okay. Try
41:23 Um, let's see. Try again and get and
41:29 include the image of the
41:33 woman, the color
41:37 palette, the
41:43 word first.
41:50 Mindfully
41:55 uh let's
41:56 see let's see color
41:59 palette main
42:04 tain cursive to block
42:08 letter
42:13 balance
42:15 and top
42:17 is play
42:23 First,
42:25 next bottom right
42:29 is mindfully
42:32 create. Oh, here's what I should do. I
42:35 should do all caps play first lowerase
42:39 or I'll do
42:44 uh
42:46 mindfully
42:48 create
43:01 create and last. Oh, thank you Steo for
43:05 sending roses on Tik Tok. I appreciate
43:07 that. And
43:09 last
43:12 bottom
43:14 left
43:18 is
43:21 generously
43:27 lead. All right, let's see what we get,
43:29 people.
43:32 Janky is as Janky
43:36 does. And I could also, by the way, you
43:39 can also still Photoshop
43:43 [ __ ]
43:46 right? So, let's go copy
43:49 image and let's go to Photo Slop. Let me
43:53 quit this
43:55 thing. That was my little
43:59 um Photoshop.
44:03 Photoshop
44:07 2024. You know there's a Photoshop
44:10 2025. I
44:15 [Music]
44:21 know you want to know something
44:25 cool. You can
44:27 now just move
44:31 [ __ ] Um, let me do cut
44:36 paste and then come down
44:43 here and
44:45 do cut.
44:48 Oh, cut
44:52 paste. All right. And then I can go and
44:55 I can go
45:06 and then I can grab this one and just
45:09 move it
45:11 here. Then I go and then I can go
45:20 [Laughter]
45:23 And then I can go
45:27 uh shing ding ding ding ding merge
45:30 visible. So now we have one layer. And
45:33 yes, I know there are about 38 different
45:35 ways to do this. I don't care. Ding ding
45:39 ding ding
45:42 ding. I can go like
45:44 this. And then I can go like this.
45:51 And then I can
45:54 go like
45:58 this. And then I can
46:02 go and I can
46:05 go and I can
46:07 [Music]
46:10 go and then I can go generative
46:13 fill. Um, go generate.
46:20 Please check your internet connection.
46:22 What?
46:29 [Music]
46:32 Generate. And it didn't do good. And it
46:35 didn't do good. And it didn't do good.
46:38 All right, we'll go back to chat
46:41 GPT. Let's see if it fixed our [ __ ]
46:45 [Laughter]
46:48 Oh my god. Close.
46:51 Uh,
46:52 [Music]
46:55 generously
46:57 lead
46:59 is wrong. And we lost the color
47:06 saturation of the
47:10 neon. Get it right.
47:19 questions,
47:21 thoughts. Anyone want to troll me for my
47:23 lack of Photoshop
47:25 [Music]
47:35 skills? I did my first series with Open
47:37 AI's photogen yesterday. I was pretty
47:40 pleased with it. Yeah. I'll show you
47:42 something really fun.
47:45 Um, while that does that, it looks like
47:48 it's going to be more saturated at
47:50 least. Uh, let me go to
47:52 ducks. I want to show you something fun
47:55 I did. It was fun fun fun. Embrace the
47:58 jank. So, if you all remember, I wrote a
48:01 book called Embrace the Jank,
48:04 right? And there was a problem.
48:08 The image
48:11 generation on some pages was great. Like
48:13 there's the cover of the book looks
48:19 great. But then if you go down here to
48:21 the like the chapter
48:25 head, that one's okay. It's it's sort of
48:29 okay. AI adoption and urgency. The words
48:32 in here
48:34 are not quite right, but they're close.
48:38 But the next
48:40 chapter is supposed to say learning and
48:42 exploration. And it
48:44 says
48:47 leuring
48:49 le and
48:55 exploation and this was the best I could
48:59 get. So I'll show you what I did. It's
49:01 pretty cool. Oh, generously lead. Oh my
49:05 god.
49:09 One
49:14 play.
49:15 First,
49:19 two
49:21 mindfully
49:23 create.
49:26 Oops. Mindfully
49:29 create.
49:32 Three.
49:33 Generously lead.
49:41 Fix
49:42 it. Tik Tok pin. Kyle, can't believe
49:46 you're so changing my original artwork.
49:50 I know, Amelios. But listen, you had it.
49:53 Your original artwork was vertically.
49:56 Then I didn't even Photoshop it in
50:00 Keynote. I chopped pieces out of your
50:02 vertical thing and made that diagonal
50:04 thing. Then I took that
50:08 into midjourney and erased all the [ __ ]
50:11 around it and put a new background on
50:13 it. And so now I'm just continuing vibe
50:16 janking. Yes, I'm continuing to jank
50:20 with the
50:21 vibe. And if this doesn't I I will give
50:24 up on this at some point here.
50:29 [Music]
50:56 Malay, you know what I think I want to
50:58 try? No. Kyle, tell us, please. We We
51:03 await with baited breath your solution.
51:07 Going to start
51:09 over.
51:13 Um, we're going to go here. We're going
51:15 to go cycle
51:26 design. We're going to grab the prompt.
51:34 We're going to go new. We're going to
51:35 put the new the same prompt in. Help me
51:39 imagine this as a
51:43 cycle
51:49 with
51:50 play
51:53 first at the top.
52:00 Mindfully
52:03 create
52:05 next lower
52:08 right
52:09 and generously
52:14 lead
52:15 [Music]
52:17 generously generously lead.
52:22 third bottom
52:27 left. Cuz one of the things that
52:30 I've I've discovered
52:33 about the new image gen model is like
52:36 once it gets it wrong consistently, it's
52:39 kind of impossible to get it
52:41 back. YouTube comment.
52:44 Oh, my chat won me first place in my
52:48 March Madness bracket. Nice. I also did
52:51 um a chat GPT March. No, I did a Manis a
52:56 Manis March Madness bracket, but I don't
52:58 think I
53:02 won. All right. I find it best to start
53:05 a new thread once it's messed up. Yeah,
53:07 exactly. Yep. Exactly. Exactly what I'm
53:11 talking about there,
53:13 Steo. Steo. Yeah, Steo. Yeah.
53:19 Yeah. Well, you said
53:23 [Music]
53:28 yeah. Lordy lordy lordy.
53:34 Yes. Make me a picture. Make me a pretty
53:37 pretty
53:41 picture. Cha chai. You can make money
53:43 with
53:46 cha. Make me a pretty picture with my
53:52 [Music]
54:07 cha. Um, while that's doing that, I'm
54:10 going to show you some embrace the jank
54:12 stuff, which is kind of fun. But while
54:14 that's doing that,
54:18 um, here's the thing that I think I'm
54:22 going to put together
54:27 a a transformation
54:31 workshop that that you can transform
54:35 yourself using
54:37 AI. And I think it's going to work like
54:40 this.
54:45 Um, well, I think it's gonna start like
54:48 this. I don't know how it's going to
54:50 work, but I think I'm going to start it
54:52 by doing two different exercises. One
54:59 is what is one thing or more? Maybe it's
55:03 more. What are some
55:05 things that over your lifetime you've
55:08 told
55:10 yourself and maybe even
55:13 believe you're not good
55:16 at and just write it
55:21 down. I'm not a good drawer. I'm
55:24 dyslexic. So, I can't really write
55:26 good. I have ADD. I'm not good at
55:29 project management. I can't keep lists.
55:33 Did it work? Oh, it even put the AI
55:37 salon logo in there. Mindfully create,
55:40 play first, generously lead.
55:43 Boom. Look at that,
55:48 [ __ ] That's kind of
55:51 cool. It's a little cheesy. Not quite
55:54 right. Oh, but you know what we can
55:58 do? Watch this.
56:01 So, let me wait. Let me download
56:03 this. And I gotta see. The downloads
56:06 have been weird
56:08 lately. Did it actually download? Yes,
56:10 it did.
56:12 Okay. Okay. Anyway, let me We're going
56:15 to go into midjourney. We're going to
56:16 fix this [ __ ] up. It's going to
56:18 be great.
56:21 Okay.
56:25 Um, so write down some [ __ ] you're not
56:28 good at.
56:33 And then the other exercise is going to
56:37 be think back in your
56:39 life where there was a project you
56:43 started or a promise that you made to
56:45 yourself that you were going to blank.
56:48 Write a
56:50 novel. Write a memoir. Capture your
56:53 parents' stories.
56:55 Whatever it
56:59 is, think back to like grade
57:03 school, high school,
57:06 college, early 20s. You moved to New
57:09 York City, you're full of piss and
57:10 vinegar. You're full of dreams. You
57:12 promised yourself you would
57:16 blank. And either you chickenened out or
57:19 you believed one of those things you
57:20 said you weren't good at, so you didn't
57:22 do it.
57:30 And then with the list of things you say
57:33 you're not good at, go find an AI that's
57:38 good at the [ __ ] you're not good at and
57:40 start doing [ __ ] in that AI that is the
57:44 thing you think you're not good
57:48 at. And here's what you're going to
57:50 discover.
57:53 with AI, you're going to be fine at
57:57 it. And then whatever excuse you gave
58:00 yourself to not do whatever you're not
58:03 doing in your life because you're bad at
58:05 these things, you can start checking
58:07 them off the list. Oh, that's no longer
58:09 an excuse. I'm I'm now kind of good at
58:12 drawing because now I have AI image
58:15 generation. All right, I can make
58:19 songs. and then and then sort of compile
58:21 a pile of those things that you're now
58:25 have the confidence to at least try and
58:27 go back to your your
58:30 project that you said, "Oh, someday I
58:33 should
58:34 blank and start that project using the
58:38 tools for the [ __ ] you're not good at
58:40 plus the other
58:43 tools." Tell me that's not going to be
58:45 transformative for a lot of people.
58:48 They're going to rediscover who they
58:49 are, their passion. They're going to
58:53 redefine what their limits
58:58 are. The guy, the guy that interviewed
59:01 me on the podcast today, he's got
59:04 dyslexia. Word processors freaked him
59:06 the [ __ ]
59:08 out. He's not good at writing because he
59:10 never wrote because he's got dyslexia.
59:13 It makes his head hurt.
59:15 Well, now he just goes into chat GPT and
59:17 just gives it a [ __ ] concept and it
59:20 does all the
59:24 writing. He's now good at
59:29 writing. The guy's like my age, right?
59:32 He's in his 50s. How many things in his
59:34 life has he not done because he knew he
59:38 wasn't good at writing and was
59:39 intimidated by the
59:41 page and now he can just go do that
59:43 [ __ ]
59:46 That's [ __ ]
59:48 transformative. I don't have to think
59:50 back. I'm living it now. Jeff
59:56 Flanigan.
1:00:02 Yeah. Rock, paper, scissors. As a
1:00:05 hairdresser, I always thought I'd write
1:00:07 a book called Only Your Hair Hairdresser
1:00:10 Knows.
1:00:14 So, so rock paper
1:00:18 scissors. Start it tonight. Start it
1:00:22 right
1:00:23 now. And I'll tell you what, you want to
1:00:26 know a really fun way to write that
1:00:31 book. If you're intimidated by writing,
1:00:35 especially Oh, wait. I think I think I
1:00:38 wasn't logged into chat GBT before on
1:00:40 this. This might be a a problem. Oh,
1:00:43 maybe not.
1:00:49 Hey Quinn.
1:00:51 Hey Kyle. What's up? Nothing. I'm just
1:00:54 demoing to someone who's thinking about
1:00:56 writing a book how easy it is to get
1:00:58 started. So, let's see. Um, I wanna I
1:01:03 want to start a book about
1:01:06 um being an entrepreneur in the early
1:01:10 days
1:01:12 of an entrepreneur that's passionate
1:01:14 about storytelling that loves innovating
1:01:17 at the intersection of technology and
1:01:19 story.
1:01:22 Nice. That sounds like a great concept.
1:01:23 Are you thinking of making it more of a
1:01:25 memoir or do you want to include
1:01:26 practical advice and insights, too? I
1:01:28 don't know. Maybe we could do both. Why
1:01:30 don't you give me three different
1:01:32 approaches to how we might attack this
1:01:35 topic?
1:01:40 Sure. First approach, a memoir style
1:01:42 with personal stories and lessons
1:01:43 learned, focusing on your journey.
1:01:46 Second, a practical guide with
1:01:47 step-by-step advice on combining
1:01:49 storytelling and entrepreneurship. And
1:01:51 third, a hybrid where each chapter
1:01:54 alternates between personal anecdotes
1:01:55 and actionable tips. Which one resonates
1:01:58 most?
1:02:00 Um, I think the last one and but I I
1:02:04 want to like before I get started, I
1:02:06 don't know anything about writing books.
1:02:08 Well, I do, but let's pretend I don't,
1:02:10 right? So, what you could help me with
1:02:14 is tell me like how do you outline a
1:02:17 book? Like, how do I start? How do I
1:02:19 structure it? Where do I even begin?
1:02:22 Got it. So, step one, start with a brain
1:02:25 dump of everything you want to cover,
1:02:26 like themes, stories, and advice. Then,
1:02:29 organize those. And so, what you can
1:02:33 literally do,
1:02:35 um, wait, what's your name again?
1:02:37 Bottle. Oh, rock, paper, scissors. I was
1:02:40 like, bottle rocket. Rock, paper,
1:02:42 scissors. What you can literally do is
1:02:45 just start dumping your ideas and your
1:02:50 stories into into the conversation and
1:02:53 it's going to be writing this whole
1:02:54 time. And then once you dump all your
1:02:57 stories in there, tell it to make an
1:02:59 outline. And then at some point you can
1:03:01 hop out of voice mode and it'll it'll
1:03:03 start to organize it and you can flesh
1:03:05 things out and edit them and things like
1:03:06 that. But you could probably
1:03:09 tonight you could probably knock out at
1:03:12 least an outline of that book. And by
1:03:15 the way, a bottlnome said, "Oh my god,
1:03:18 that sounds like a great book. I'd read
1:03:19 that. You've got your first you've got
1:03:21 your first fan of your book that you
1:03:24 haven't written yet, but you should
1:03:26 write it by like this
1:03:28 weekend." This is as as [ __ ] stupid
1:03:33 and ridiculous as it
1:03:35 sounds. the all I've always write wanted
1:03:38 to write a book about being a
1:03:40 hairdresser. You've got a name for it.
1:03:42 You've got a concept. You probably have
1:03:43 a [ __ ] ton of
1:03:46 stories. You could probably finish that
1:03:49 this weekend. At least a draft of
1:03:52 it. Like you start today's t today's
1:03:56 Monday. Just start blabbing to advanced
1:04:00 voice and then tell it to organize it.
1:04:05 And the the other thing that's
1:04:06 remarkable about advanced voice is she
1:04:10 or he, whichever way you choose to go,
1:04:14 it's like having a cheerleader. Every
1:04:16 time you put a story in there, she'll be
1:04:18 like, "Ah, it's a really good story. Do
1:04:19 you have any more like that?" I'm like,
1:04:21 "Well, yes, I do." I'm telling you,
1:04:25 man. The gap
1:04:29 between what you thought it took and
1:04:33 what it actually took before to pull
1:04:36 something like that off and what you can
1:04:38 do now is
1:04:41 massive. It's
1:04:43 massive. Hairdressers here at all. Ooh,
1:04:46 AI salon starting a four-week. Oh, yeah.
1:04:49 So, so rock paper scissors. If you
1:04:51 haven't joined the AI salon, join the AI
1:04:53 salon which is at go
1:04:59 to go to there the salon.ai
1:05:05 AI and then click on join our
1:05:08 community and then find in there's an
1:05:11 area called clubs and hubs and find the
1:05:15 prototyping club Cindy Coons prototyping
1:05:18 club or prototyping with Cindy or
1:05:20 something like
1:05:21 that. AI prototyping I think it's called
1:05:25 starting next Monday for four
1:05:29 weeks. It's a publishing sprint where
1:05:32 anyone who comes to that thing is going
1:05:35 to publish a book by the end of it.
1:05:37 Cindy, who is the she's the head of CE
1:05:39 media for content evolution that she and
1:05:42 I work over there as
1:05:45 well. She's the head of CE media. So,
1:05:48 she's she's published a bunch of books.
1:05:49 She's she published one that I'm in with
1:05:51 her. She published one that I did with
1:05:53 Kevin Clark. She just helped uh Adnan
1:05:56 and Brian Moahan publish AI Culture
1:06:00 Shift and so she is going to teach for
1:06:05 free how to publish a book. So just
1:06:09 [ __ ] come to that
1:06:11 thing like why
1:06:14 not? You'll be published within a month.
1:06:18 I'm in paralysis analysis with chat GPT
1:06:20 but the stuff coming out of the analysis
1:06:22 is way cool.
1:06:27 What are you What are you over
1:06:28 analyzing,
1:06:34 [Music]
1:06:39 Jeff? 35 years worth of stories. Rock,
1:06:42 paper,
1:06:44 scissors. Ma'am, I assume ma'am, but
1:06:47 whatever
1:06:49 person. 35 years of stories.
1:06:53 Start talking to chat GPT. You probably
1:06:56 have way more than one book in
1:07:00 there. It's awesome. It's so awesome.
1:07:03 Tik Tok. Um, I'm on the salon. Where do
1:07:06 I find the information? Here, I'll show
1:07:08 you. Okay, so I'm in the salon right
1:07:11 now. No, I'm not. I'm in the salon right
1:07:13 now. Okay, so in the lefth hand side,
1:07:16 you got your first seven little areas.
1:07:18 Welcome to the salon. Introduce
1:07:19 yourself. Learn our values. Watch past
1:07:21 meetings, right? blah blah blah. Then
1:07:23 you got community corner. Then you got
1:07:24 the news area. Then you have the mastery
1:07:27 workshop which has showand tell. Look
1:07:29 what I made. And then you have clubs and
1:07:31 hubs. And if you scroll
1:07:35 down way down here at the bottom, she's
1:07:37 at the very bottom. Poor Cindy [ __ ] I
1:07:40 actually archived I actually archived
1:07:43 her um her club. So no one was coming to
1:07:46 her club because it was archived. But go
1:07:48 into AI prototyping and you may need to
1:07:52 like I don't know if it'll let you
1:07:53 straight in but if it if it does great
1:07:56 just join just join comment you know say
1:08:00 hi to Cindy she's the one Cindy [ __ ]
1:08:02 applied futures that's her and just join
1:08:05 and then and then if you go to the
1:08:08 events tab in AI
1:08:10 prototyping she's got Monday April 14th
1:08:14 four-week
1:08:15 sprints so the next four weeks are the
1:08:18 publishing sprint. So, jump on
1:08:22 in. Jump on
1:08:25 in. I'll tell you
1:08:27 what.
1:08:29 Okay. Um, back to chat, Jeopardy. So,
1:08:34 here's this. So, we're going to go
1:08:35 unfuck this up. And you're like, "But
1:08:37 Kyle, it's not [ __ ] up." And it is.
1:08:39 And I'll tell you why.
1:08:47 Let it go. Oh, we downloaded the image
1:08:49 already. Okay. So, I'm going to go to
1:08:51 midjourney. So, here I am in
1:08:54 midjourney and we're going to go to edit
1:08:56 and then I'm going to say upload image.
1:08:59 So, there's a couple of things wrong
1:09:00 with that image. So,
1:09:02 downloads, we're going to bring that
1:09:04 that bad boy
1:09:11 in and I'm going to come back to edit.
1:09:13 I'm gonna go to create and I'm gonna No,
1:09:16 I'm going to go to organize and I'm
1:09:17 going to go
1:09:18 [Music]
1:09:20 find our mood board. So, there's our
1:09:23 mood board for the AI
1:09:27 salon and I'm going to go back into
1:09:32 edit. All
1:09:33 right. And then we're going to get rid
1:09:37 of
1:09:39 that. We're get rid of all this [ __ ]
1:09:43 [Music]
1:09:47 Um, and then I'm going to
1:09:50 go 16 by9. So, see
1:09:53 how we have all this? We We want a wide
1:09:56 image.
1:10:03 [Music]
1:10:18 So, we're going to erase all that
1:10:20 [ __ ] Then I'm going to make this thing
1:10:23 smaller. I go in here and I'm going to
1:10:25 erase these
1:10:32 letters. All right.
1:10:35 And then I'm going to put this is
1:10:39 the should we call it the cycle of AI
1:10:43 readiness.
1:10:45 Yeah.
1:10:47 AI
1:10:49 readiness
1:10:52 cycle. Let's see what that
1:10:55 does. And then we've got our this this
1:10:58 is the AI salon. Wait, where is it?
1:11:01 Right here. This is the AI salon
1:11:03 profile. which is a mood
1:11:08 board. By the way, I've been with you
1:11:10 guys since day one, but I just got a
1:11:12 computer, so now I can really join. Oh,
1:11:14 that's awesome. Rock, paper, scissors.
1:11:16 Fantastic. Cool. Well, continued.
1:11:20 Welcome. And now welcome now that you're
1:11:23 computer
1:11:25 superpowered. Bottleneck's actually
1:11:28 building a website, but on the concept
1:11:30 ever expanding spiral. Oh, cool. Nice.
1:11:34 Oh, you know what? Let's make this a See
1:11:36 if we can make this a
1:11:47 spiral. Let's get rid of those arrows.
1:11:59 A
1:12:02 vortex
1:12:05 spiraling
1:12:08 outward.
1:12:09 Spiraling. I spelled that wrong.
1:12:13 Outward. How's that spelled wrong? I
1:12:16 don't know. Doesn't [ __ ] matter.
1:12:17 Okay.
1:12:24 version seven required in draft mode
1:12:29 version.
1:12:31 Oops. Where do we
1:12:40 go? And we're going to
1:12:43 do is it
1:12:47 d-v 6.1? We'll do 6.1.
1:12:52 All
1:12:56 right. All right. So now this thing is
1:13:00 going to take the stuff we kept and keep
1:13:02 it. And then it's going to give us four
1:13:05 different
1:13:07 alternatives. I've started a wiki. I
1:13:10 have a wiki started for my novel. I got
1:13:13 loads of other ideas to push out related
1:13:15 to
1:13:16 it. And I want to build a community to
1:13:19 interact and add to the world.
1:13:21 Archetypal architect. That's that thing
1:13:25 that that thing is is going to be a
1:13:27 really big piece of of the future is
1:13:31 rather than you just writing a book, you
1:13:33 creating a world where people can
1:13:34 co-create with you. I think that's going
1:13:36 to be [ __ ] huge, huge, huge, huge.
1:13:40 Okay. I hate all these. Hate all of
1:13:43 these. Um, let's see. AI readiness
1:13:48 cycle.
1:13:50 Um, a large
1:13:54 building. Let's see. Wait, wait, wait,
1:13:57 wait, wait. Um, let's go back to this
1:14:00 and go command Z. Command Z. Let's try
1:14:04 that. AI readiness
1:14:09 cycle. And then let's go change this
1:14:14 to a,000.
1:14:18 and then see what that does. I think
1:14:20 that's how the AI movie franchises get
1:14:23 started. I think that's
1:14:25 right.
1:14:32 Um Oh, you can't see that on TikTok, but
1:14:35 it put two little Cheerios on the
1:14:37 outside of that circle. That's pretty
1:14:41 funny. That's not quite okay. That's
1:14:44 kind of cool. All right. So, let's do
1:14:46 let's go back to this one and we'll do
1:14:48 stylize a thousand AI readiness. So, so
1:14:51 let's just do AI
1:14:54 readiness.
1:14:57 Um
1:15:00 people people do
1:15:05 people
1:15:08 evolving stylization a thousand. And
1:15:10 then we're going to do if you don't know
1:15:12 this trick in MidJourney, it's a really
1:15:13 good one.
1:15:14 d-r space 4 and that'll do four sets.
1:15:18 Oh, I can't do it here. Batch edits are
1:15:20 not supported. Okay, fine. We'll just do
1:15:22 one set. But it'll do four
1:15:25 sets in normal create mode, but I'm in
1:15:28 edit mode.
1:15:41 [Music]
1:15:50 Oh, that one's kind of cool. I like that
1:15:59 [Music]
1:16:01 one. Oh, that one's playful and
1:16:03 fun. It's kind of janky. Her arms a
1:16:06 little [ __ ]
1:16:08 up. That one's kind of
1:16:14 fun. Oh, I like that,
1:16:18 too.
1:16:20 Huh. Let's do another pile of
1:16:24 these. Boom.
1:16:32 [Music]
1:16:36 It also works with my upcoming universal
1:16:38 basic dividends. Dow. Nice. Archetypal's
1:16:42 getting all
1:16:45 fancy. That one's
1:16:47 cool. Oh, I'm liking this one. Let's
1:16:49 Let's change the style weight again.
1:16:52 We'll go down to
1:16:54 600.
1:16:56 600. Boom. Generate some more.
1:17:01 All right. So, which ones do we like?
1:17:03 So, we got
1:17:05 that. That one's a little too
1:17:08 trippy. That one's really fun. I like
1:17:11 that
1:17:12 one. So, wait. Let's upscale that one to
1:17:14 the
1:17:16 gallery.
1:17:18 Failed. 2x
1:17:24 upscale. Well, we'll download the
1:17:27 image. That's weird.
1:17:33 Can I upscale that to the gallery?
1:17:53 No. I think we're going to go with All
1:17:56 right. So, which Tell me what you're
1:17:58 going to go with.
1:18:00 We've got where is
1:18:02 it? That one. That's it. That's got a
1:18:06 playfulness to it that I
1:18:07 dig. Or we've got the one that
1:18:12 repeats. It's like a a scrolling wheel
1:18:15 of of cycles. I think that one's kind of
1:18:17 cool, too. Which one do you
1:18:20 like? Vote, people. Tell me. I can't
1:18:24 make a decision on my
1:18:25 own. Come on.
1:18:31 Please give me
1:18:33 feedback. Nobody
1:18:39 cares. All right. Can I upscale this
1:18:41 one?
1:18:43 No. All
1:18:47 right. So, let's download that
1:18:52 image. Amelios playful one. Okay. Fine.
1:18:57 Fine. And we'll do the playful
1:19:03 [Music]
1:19:07 onea. Oh, I know what we can also do.
1:19:11 Watch
1:19:18 [Music]
1:19:20 this. Now, I don't want to get fancy
1:19:22 with it. We'll just go
1:19:23 downloads. Here it is.
1:19:26 So, we'll open this. We'll do Oh, it's
1:19:30 already down there. We will go Amelio's
1:19:33 wife gets the vote. Her vote wins
1:19:35 because she made the original image that
1:19:37 this is based on. We're going to go
1:19:40 edit. We're going to come in here. We're
1:19:42 going to delete that [ __ ] out of
1:19:45 here. And we are going to replace it.
1:19:48 Boom.
1:19:51 with
1:19:53 [Laughter]
1:19:57 Shang. Love
1:20:09 [Music]
1:20:11 it. Do we want to make it bigger?
1:20:15 Maybe. No.
1:20:22 save. All right. So, there you go. See,
1:20:27 and now we have a thing that looks like
1:20:29 it was actually
1:20:31 created for this and it's worked. And do
1:20:34 we want the the AI readiness cycle?
1:20:37 Yes, we do.
1:20:42 Edit. I have the power to edit.
1:20:53 AI readiness
1:20:56 cycle. Jang dang dang dang dang dang.
1:21:00 Cool. Look at
1:21:05 that. Working on my own thing.
1:21:08 Geez. He's needy tonight.
1:21:12 [Laughter]
1:21:15 I'm needy every night. I just don't show
1:21:17 it every night. Okay.
1:21:20 Um, I wasn't watching. I was setting up
1:21:23 my evil empire. I don't know. I like the
1:21:26 one with the blue man more. Let me see
1:21:27 the one with the blue man.
1:21:34 [Music]
1:21:37 Oh, that
1:21:41 one or that
1:21:44 one? I don't know. Those look like
1:21:47 weirdass Aryan freaky
1:21:50 ass science experiment
1:21:56 men. I mean, the geometric thing's kind
1:21:59 of fun. That one's kind of nice. I mean,
1:22:02 that one's more human, but it's not
1:22:06 playful. This one's This one's like
1:22:09 we're going to go do some spoken word
1:22:10 poetry in an East Village bar that's got
1:22:14 six people in
1:22:16 [Laughter]
1:22:24 it. Oh, wait. My team has completed the
1:22:27 first stage of the team quest. Team
1:22:30 cheers have been unlocked to all team
1:22:32 members to send and celebrate. Feel free
1:22:36 to
1:22:37 send team
1:22:39 cheers. And if you ask me where they
1:22:41 are, I don't know. Okay. All right. Um,
1:22:46 so that was fun. Now, let me show you.
1:22:49 What else did I want to show
1:22:53 you?
1:22:55 Oh, all right.
1:23:00 So I so I did this. This is my janky
1:23:03 picture from my book,
1:23:06 right? So I went to chat.
1:23:10 Jeepa graphic
1:23:13 novel. Was it this
1:23:25 one now?
1:23:30 Ah, here we
1:23:31 go.
1:23:33 So, so there's So, I I I took a
1:23:36 screenshot of the thing that was [ __ ]
1:23:38 up in the book, right? Instead of
1:23:41 learning, it says
1:23:43 leanding or whatever it
1:23:47 says and it says explo
1:23:51 exploation. Then I said fix the
1:23:53 spelling. And look what it did.
1:23:57 Look how cool that
1:23:59 is. So, let's go grab another one and
1:24:02 see if it does another one. Let's let's
1:24:03 uh let's go grab the cover. Well, let's
1:24:05 grab this one. See if we can get them to
1:24:07 all go in the same
1:24:08 style. So, wait. I don't know how to
1:24:11 copy this image. More
1:24:14 actions. So, I'm just going to
1:24:16 screenshot it.
1:24:24 [Music]
1:24:26 Command shift
1:24:38 five
1:24:40 clipboard. Boom. Then I'm going to go
1:24:42 back over to chat
1:24:44 japata. Paste it in and say um make the
1:24:50 text here more playful.
1:25:01 Let's just
1:25:05 see see what this
1:25:09 does. The playful is good.
1:25:12 Hippies. Now he's talking down to her.
1:25:16 Starts skiing hutch.
1:25:20 Oh, the blue
1:25:22 face. Oh, no. He's talking down to her.
1:25:25 Oh, yeah. That one he is. He's totally
1:25:27 talking down to her. The the the poetry
1:25:32 one. Let's see this
1:25:37 one. It is. He is. He is uh he's
1:25:41 mansplaining to her
1:25:44 poetry. Uh oh. Sam
1:25:47 Alman. of Sam Alman in his college
1:25:50 years.
1:25:51 Yeah, that's pretty
1:25:55 good. All right, let's see if this does
1:25:57 it. All right, here's our here's our
1:26:00 whatever you call
1:26:02 it. Here's our one that's got boring
1:26:04 text. Let's see how it does. What's your
1:26:07 most successful AI project so far?
1:26:10 That's a good question.
1:26:18 Um, I don't know. I mean, I think this
1:26:22 channel, this channel I I'm really happy
1:26:24 with just
1:26:26 because a lot of good friends have been
1:26:28 made here. A lot of people have changed
1:26:30 their lives because of hanging out here.
1:26:34 Um, I think the musical I'm working on,
1:26:37 anything where I with with ADD, anything
1:26:40 that I work on where I put in, you know,
1:26:42 more than four hours worth of work is is
1:26:45 a real achievement for me. So, I've been
1:26:48 working on that for a year. Um, and it's
1:26:50 really good. Look at that. That's
1:26:52 beautiful.
1:26:56 Perfect. I don't want the word chapter
1:26:58 in there, but that's all right. Now, I
1:27:00 go back here.
1:27:03 Did you ever publish this? No, I didn't
1:27:06 publish it, Brandon, because the last
1:27:07 two images I could not I couldn't get it
1:27:11 to spell close enough that um that I was
1:27:14 at all happy with
1:27:16 it.
1:27:18 Um let's change out the title graphic
1:27:21 while we're at
1:27:23 it.
1:27:26 Um oh, I think I did that in Photolop,
1:27:29 but that's okay.
1:27:33 We're going to embrace the jank. I'm
1:27:35 gonna Okay, let
1:27:43 [Music]
1:27:49 me Oh, sounds like the dog's getting
1:27:52 some
1:27:54 cheese. Okay, there's that. I'm going to
1:27:57 go back to chat.
1:27:59 Japeta. Paste it in there and say make
1:28:02 the title more
1:28:08 colorful.
1:28:12 Boom. I have V2 access in my personal
1:28:15 Gemini account. Not sure if that's an
1:28:17 everyone thing. Okay, let me go check.
1:28:20 Um, that would be sure [ __ ] swell.
1:28:26 Um, so that's
1:28:28 at is it
1:28:32 labs.google.com? Yeah,
1:28:35 labs.google experiments create video FX
1:28:39 join weight list. But
1:28:42 wait, I can log in. Wait, why am I not
1:28:46 logged in?
1:28:49 Google
1:28:51 labs
1:29:00 about let me change
1:29:03 that. Go back
1:29:08 here about how do I how do you log in
1:29:11 here? Do you not sign up for our
1:29:14 newsletter?
1:29:20 Try
1:29:24 labs.google.com.
1:29:34 No,
1:29:39 [Music]
1:29:43 no AI mode.
1:29:47 experiments. Oh, just the normal GPT or
1:29:50 Gemini
1:29:52 site.
1:29:59 Gemini.google.com. Listen to your file.
1:30:01 Let's switch this out to my personal
1:30:03 account. And then what am I looking for?
1:30:06 Um,
1:30:08 VO. Nope, I don't got it. Damn it.
1:30:12 Deep research
1:30:15 personalization. I don't have
1:30:17 it. Arg. Arg.
1:30:20 Mie. Embrace the
1:30:26 jank. I like
1:30:30 it. There you
1:30:34 go. That's pretty good. All right.
1:30:38 Right. So, I think I'm going to be able
1:30:39 to finish this book because I can just
1:30:40 go I can just maintain this look and
1:30:44 feel. This is great. This is really
1:30:49 good. All right. There you
1:30:51 go. All right, my
1:30:54 people. People of
1:30:56 the people of the
1:31:00 splendor.
1:31:03 Um, what else? Well,
1:31:07 so let me go back to just
1:31:14 talking. So, I don't know if that makes
1:31:16 sense. The find something that you've
1:31:19 told yourself you're not good
1:31:21 at thing, but I think I'm going to turn
1:31:24 it into into a workshop. Black bar.
1:31:27 Black bar. Black
1:31:29 bar. Um, and then maybe I'll turn it
1:31:32 into like a whole weekend
1:31:36 inspirational thing
1:31:39 because I think it could be incredibly
1:31:43 powerful to go to a weekend where you
1:31:46 discover [ __ ] that you thought you shut
1:31:49 down in your
1:31:50 psyche. you rediscover it and by the end
1:31:54 of the weekend like you've written the
1:31:56 first draft of your book or you've
1:31:59 created the first three songs of your
1:32:02 musical
1:32:03 or you have a business plan for the
1:32:06 restaurant that you've been promising
1:32:08 yourself you're going to start before
1:32:09 you die. Like that seems to me that
1:32:12 would be a pretty [ __ ] remarkable few
1:32:14 days.
1:32:16 No, I've been doing some rad deep
1:32:18 research lately with Gemini and
1:32:20 Perplexity. Yeah, the deep research
1:32:22 stuff is really quite impressive. I'm
1:32:24 working with Cindy [ __ ] and Kevin Clark
1:32:27 on a deep research sprint. We're doing a
1:32:29 4-week sprint where we
1:32:33 designed for each week there's three
1:32:36 different exercises to do and we're
1:32:40 doing it with people who do research for
1:32:42 a living and they're discovering things
1:32:44 that they're like this is like part of
1:32:47 why I wanted to do it was I wanted to
1:32:50 explore with people that actually know
1:32:53 research like if this shit's actually
1:32:55 valuable, if deep research is actually
1:32:57 good. like from a researcher perspective
1:33:00 and the answer is
1:33:03 yes. I'd be interested in that weekend.
1:33:06 Okay, good. Yeah, that's that's I think
1:33:08 that's something I might put
1:33:11 together. I know research and its mess
1:33:13 so far.
1:33:16 Okay. Yeah. I mean, I figure I figure
1:33:19 there are some pieces of research it's
1:33:21 going to be good for. There are going to
1:33:22 be other pieces it's going to be crap
1:33:25 for, you know.
1:33:33 No, I don't know anything about it,
1:33:34 Brandon. So, I'll do I'll do it. I'll
1:33:36 I'll figure it out tomorrow and then
1:33:37 we'll do it this
1:33:39 week. Uh, all right. I've been doing
1:33:43 some deep research. All right. Let's
1:33:45 see. Let's get out of here. Let me let
1:33:47 me get on out of here. I'm trying to
1:33:49 think if there's anything else I want to
1:33:50 talk about. Nothing going on tomorrow.
1:33:55 Um, I'm working with someone until
1:34:00 6. I think I'll be fine here for 8, but
1:34:03 it might be 8:30. I'll I'll I'll let
1:34:06 Brandon know as soon as I can so he can
1:34:08 give you a heads up. It's not good at
1:34:10 cutting edge research stuff on AI. Oh,
1:34:12 yeah. That that makes sense. Which
1:34:14 limits it its usage in AI, ironically.
1:34:17 Yeah. No, that that makes sense that
1:34:20 it's not good at being right on the
1:34:21 bleeding edge of stuff. Um, what I was
1:34:25 talking like the the folks that I'm
1:34:27 working with, Pate, are are more like
1:34:29 researching things
1:34:31 like like business trends and you know,
1:34:36 if these four trends are happening at
1:34:39 the same time, what are the strategies a
1:34:41 business might employ? and you know and
1:34:44 then what are the what are
1:34:47 the the the like the implementation
1:34:51 plans and what are the change management
1:34:52 plans and it's it's all that kind of
1:34:55 stuff.
1:34:56 So so they're finding it decent so far
1:35:00 because there there's so much of that
1:35:02 [ __ ] out there
1:35:04 already. All
1:35:06 right, tired runner. You calling me
1:35:09 lazy? Because that would be
1:35:15 accurate. I've got prompts that are six-
1:35:18 page diet
1:35:20 tribes. Yeah. No, I'm It's I've got a
1:35:23 thing that I want to build right now
1:35:24 that I'm I'm pretty excited about and I
1:35:26 don't quite know how to build it.
1:35:32 So, there's a part of me that wants to
1:35:34 bring in someone that knows what they're
1:35:36 doing with coding, and there's another
1:35:37 part of me that's like, "Fucking vibe
1:35:38 code it, you
1:35:39 [Laughter]
1:35:44 loser." All right. Uh, I'm getting out
1:35:46 of here, everyone. Um, peace out. I'll
1:35:49 see you tomorrow. And, uh, yeah, go uh
1:35:52 go think about [ __ ] that you've told
1:35:54 yourself you're not good at, and then
1:35:56 stop that. and then go find an AI that
1:35:58 can fill the gap. All right, bye.