11/03/2025 - The Daily Practice of Play, Adaptability, and Finding Your Purpose in the Age of AI

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0:00 Come on, buddy. You coming?
0:05 [music]
0:13 [music]
0:30 Is this place I can rest my forehead?
0:37 Gather my thoughts in sweet [singing]
0:39 silence.
0:43 [music]
0:44 Is this place where the feelings
0:47 [singing] are dead?
0:48 [music]
0:51 From an overexposure [singing]
0:52 to violence.
0:55 This is the place I [music] can slowly
0:58 face. The only one I [singing] truly can
1:01 know.
1:04 These are tears [music]
1:05 from a long time ago.
1:07 Got these tears from a long time ago. I
1:12 need to cry. 30 years old. So [music]
1:16 these are [singing] tears from a long
1:18 time.
1:21 No. [music]
1:28 Oh darling, oh darling, you say unto me,
1:35 [singing] where have you been all my
1:37 life?
1:42 I [singing] have been swimming seven
1:44 [music] sad seas.
1:49 Oh, women have tossed me their
1:51 lifelines. [music and singing]
1:53 I pulled them into the waters darker.
1:56 I'd have warned them, but [music] I
1:58 didn't know.
2:01 These are tears from a
2:02 [singing and music] long time ago.
2:05 Got these tears from a long time ago. I
2:09 need to cry. 30 years old or so. [music]
2:13 These are tears
2:16 from a long time [music and singing]
2:21 ago.
2:23 [laughter]
2:28 [music]
2:36 Robbie,
2:37 you're always on when I wake up from a
2:40 nightmare. [laughter]
2:45 I think I'm going to take that in a
2:47 positive light, [laughter]
2:49 but it could go either way.
2:54 Very possible I'm causing the nightmare.
2:56 [laughter]
2:59 Oh, that's awesome. Oh, good evening.
3:02 Happy Monday, good people. Hope you had
3:03 a good weekend.
3:05 >> [music]
3:13 [music]
3:16 >> in a westerly
3:20 direction. [singing]
3:26 This car is my train.
3:31 I've been traveling. I've been wondering
3:35 what it is I'm running from again.
3:41 Feel like an 80y old man [music]
3:45 holding on to 29.
3:48 Love that line. [music] Up ahead on the
3:51 horizon
3:54 is California.
3:58 [music]
4:05 up here. Trucks carrying a wide load.
4:09 Pre fab house cut in half.
4:13 [music] Cute little front door and two
4:15 windows. My love
4:17 ain't sure with a cry should laugh.
4:20 [music]
4:22 You see a broken
4:26 as I stumbled to that door.
4:31 [music] I read a note by [singing] the
4:32 dawn
4:34 light said, "Don't you come around here
4:40 [music]
4:40 anymore." [singing]
4:44 >> Well, I've had enough
4:48 of this freedom on the rock.
4:51 Never was good with decision. [singing]
4:55 At least that's what I've been told.
4:58 [music]
5:00 Yoohoo.
5:03 [music]
5:11 [music]
5:25 Um, I hope everyone is well.
5:30 Tell me what's going on.
5:32 I would love to hear what is inspiring
5:36 you these days.
5:38 What
5:40 where are you finding inspiration?
5:44 [music]
5:48 >> [music]
5:51 >> No.
5:53 [music]
6:00 [music]
6:07 [music]
6:11 >> [music]
6:18 >> Side hustle Mimi, I posted my newly
6:20 created website in irregulars. That is
6:22 awesome. Champions are inspiration. I
6:25 like that. Solid, solid, solid, solid.
6:29 Inspiration
6:31 coming from Reddit. Really? But
6:34 inspiration from Reddit. That's awesome.
6:38 I found inspiration right here. Love
6:40 that.
6:42 Love that. Love love love.
6:47 [music]
6:54 [music]
7:00 [music]
7:05 >> [music]
7:14 [music]
7:18 >> People post all of their problems on
7:20 Reddit. [clears throat] I create apps
7:22 for them. Oh, that's actually really
7:24 genius.
7:26 That's That's really good, Vicki.
7:29 [laughter]
7:30 We've talked about that in here, right?
7:32 What problem are you solving? you know
7:34 the the where's my gold button here?
7:37 This button.
7:38 >> You can make money with GPT.
7:40 >> You know, we've talked about that for
7:42 years now. That that how you make money
7:46 with Chat GPT
7:48 is no different than how you
7:49 [clears throat] make money [music]
7:51 with Photoshop or a shovel or a frying
7:55 pan. [music]
7:58 It's identical.
8:00 You're like, "What are you talking
8:02 about? But a frying pan and AI is not
8:04 the same thing at all. [laughter]
8:08 And you're correct, but I don't know why
8:10 you have to talk to me like that. It's
8:12 very rude.
8:17 [music]
8:21 >> [laughter]
8:23 >> Um, but the way it's the same is
8:26 [singing and music]
8:30 you figure out a problem that people are
8:31 having. [music] And if you know how to
8:34 use one of those tools
8:38 and you can solve someone's problem and
8:40 if it's a big enough problem and your
8:42 solution is compelling enough, they will
8:44 give you money for that solution or at
8:47 least a little attention.
8:51 [music]
8:59 [music]
9:00 AI is the new frying pan, Vicki. That's
9:03 really good. Yeah, exactly. Start a
9:06 restaurant, start a GPT.
9:14 You know, one of the things that I am
9:16 realizing,
9:18 um, so last maybe Thursday, I think it
9:23 was Thursday, might have been Friday, I
9:25 don't know. Um, producer Brandon hop
9:28 hopped up on stage and talked about the
9:31 GPT that he made for um, people dealing
9:36 with SNAP benefits maybe not being
9:38 there. And and he talked about, you
9:41 know, why he built it and how he thought
9:43 about it and and the thought he put into
9:46 it when he built it and
9:49 and that was inspiring in in and of
9:52 itself.
9:54 Um,
9:56 and you know, we we talked about it in
9:58 here. We posted it. I think Andy maybe
10:00 grabbed a thing and posted it on
10:01 LinkedIn about it. Um, and it it got
10:04 some attention. Like some some folks
10:06 that I know are like, do you know this
10:08 Brandon fella? [laughter]
10:12 I'm like, I sure do. [laughter]
10:17 Well, he's doing amazing things there.
10:19 And what what struck me was, hey, yes,
10:21 he is. and let's let's get him some, you
10:23 know, let's get him some kudos for the
10:25 for the work that he did. But I feel
10:28 like within the salon, there's there's a
10:30 lot of that spirit. There's a lot of
10:32 people doing that. And one of the things
10:34 that [music]
10:36 I would like to get better at as as a as
10:39 a community, as an organization, not as
10:41 a community, that sort of puts it on
10:43 everyone else. One of the things I'd
10:45 like to get better at um as an
10:48 organization is bragging about the
10:51 amazing things that our people do.
10:54 [laughter]
10:56 Like it it's almost like I've come to
10:58 take I've come to take for granted
11:02 that we have such a remarkable group of
11:04 people that are generous and kind and
11:07 smart and motivated
11:10 and self-driven and [ __ ] show up
11:15 right. Showing up the practice of
11:17 showing up for these lives. the practice
11:20 of just being in the conversation and
11:24 thinking creatively about how you can do
11:26 interesting things with AI or as Vicki
11:28 said trolling Reddit for people you know
11:31 that that have got a solvable problem
11:35 um is super inspiring right it's super
11:37 inspiring and I don't think [music] the
11:39 salon does a great job of doing that
11:43 shout out Mary Mary369 who texted to
11:46 check on me and my parents tonight wow
11:49 like That
11:51 like that
11:54 that's huge and I hope they're they're
11:57 well source camp
11:59 that's huge right because what does that
12:03 tell you it's got it's got nothing to do
12:06 with AI it's got nothing to do with AI
12:10 it says that we've got a community that
12:12 are thinking about [music] human beings
12:17 and yeah we're excited When some new
12:19 crazy ass technology comes out, it's
12:21 like, oh, it's exciting. It's like a
12:23 Christmas, you know? It's like a present
12:25 under the tree.
12:30 But in the end, the presents under the
12:33 tree
12:34 are just an excuse to sit around the
12:36 fire later and talk and connect.
12:39 And that's what these meetings are.
12:42 [music]
12:43 That's what the AI salon is. And that's
12:45 what life is, [laughter]
12:48 right?
12:50 [music]
12:53 I am more and more convinced
13:00 the people that are going to be hireable
13:03 and valuable
13:06 moving forward are going to be people
13:09 that are
13:12 [music]
13:13 intentional,
13:17 empathetic,
13:18 >> [music]
13:21 >> committed to doing work that makes a
13:24 difference.
13:26 [music]
13:27 Curious, adaptable.
13:33 [music]
13:39 [music]
13:45 It's funny as I'm sitting here strumming
13:47 my guitar, I just [laughter]
13:49 I feel like I'm one of those spoken beat
13:52 poets in the 80s in in Manhattan.
13:57 The streets were dark and black.
14:02 I was feeling heavy. [music]
14:06 I was sporting a hangover from two days
14:08 ago. I haven't really slept much.
14:12 [laughter]
14:18 We are moving through this life together
14:20 on this channel. Yeah, it's so true.
14:25 [music]
14:32 [music]
14:40 >> [music]
14:48 [music]
14:53 [music]
14:54 >> Um
14:57 I want to be a beat nick. Exactly.
15:00 Talking back especially when go going
15:02 back an hour. Exactly.
15:05 Um yeah.
15:09 You know, it's so funny. I had a really
15:12 good talk with Liz and Andy today. We
15:14 were talking about designing the the
15:17 mastermind practice,
15:19 the framework that we're going to we're
15:21 going to build a whole bunch of stuff
15:23 around.
15:25 And it was such a good conversation
15:28 and just everything felt connected.
15:33 And I know that sounds kind of ethereal
15:36 and weird, but um
15:47 I've talked about this before where
15:50 [clears throat]
15:54 the thing that's the most remarkable
15:58 the most remarkable
16:01 experience
16:04 of AI for me
16:08 is that
16:12 in a lot of ways inter interacting with
16:14 it is kind of like interacting on this
16:16 channel, right? This is a what we have
16:19 here is a a small group of people that
16:21 show up on a regular basis, an irregular
16:25 basis. [laughter]
16:27 Um,
16:30 and when I talk, what's what's being
16:32 reflected back at me is
16:35 is humanity, right? It's the humanity
16:38 that shows up for this thing. And, you
16:40 know, I'm talking, you're reacting, and
16:42 I get to take what comes at me, process
16:46 that, put it back out there, that
16:48 inspires other people to say stuff,
16:50 right? It's it's this sort of beautiful
16:52 back and forth, this kind of real- time
16:54 collaboration. and and you know because
16:56 I'm leading it, it often doesn't have a
16:58 ton of direction. That's that's just the
17:00 nature of my spirit.
17:04 But
17:06 when
17:08 when you interact with AI to a great
17:11 degree,
17:15 that's what you're doing there as well,
17:17 right? It's disembodied humanity, right?
17:20 It's all of the outputs of humanity that
17:23 have been compressed into this these
17:25 models.
17:27 But when you do it right, you know,
17:29 you're sort of putting ideas into this
17:31 thing and and you know, they're getting
17:33 absorbed into all that knowledge and
17:35 reflected back at you and amplified and
17:37 and to a very real degree, you're
17:39 interacting with humanity.
17:43 And so, like,
17:47 what a [ __ ] amazing time to be alive.
17:50 that we get to experience that
17:55 and we get to experience
17:58 the knowledge
18:01 like we've got very unique knowledge
18:05 that our kids like I mean little kids
18:07 not my kids my kids are older tik tok
18:09 pin wait look how AI is bringing us
18:12 together what did that say
18:15 oh yeah humanity yeah exactly exactly
18:18 like like I I I really do I and this
18:21 listen
18:23 if I'm accused of being a little
18:25 polyianaish on this.
18:28 I do think that AI is in a weird way
18:30 going to bring people together. I think
18:32 social media is the the the [snorts]
18:35 most horribly named of all of the
18:39 technologies because it it it
18:41 accomplishes the opposite.
18:44 And artificial intelligence um may
18:47 actually drive real humanity. Um amplify
18:51 real humanity
18:53 [music] and real empathy.
18:58 [music]
19:08 [music]
19:13 >> [music]
19:15 >> You know, I was thinking about
19:17 in the past week or two, I've been
19:19 talking about this idea of a daily
19:21 practice using AI
19:24 and you know, asking people what
19:26 inspires them and,
19:29 you know, Dr. Jay kind of, you know,
19:34 off-handedly, you know, almost a month
19:36 into
19:39 being pen pals with a 90-year-old
19:42 Armenian poet [laughter]
19:48 who she connected with in this sort of
19:50 weird sort of way. And then he just sent
19:52 her a poem out of nowhere
19:55 and she turned it into a song and sent
19:58 it back to him. and then he sent in
20:00 another poem. And so they've been doing
20:03 this back and forth thing for I guess a
20:05 month now.
20:10 And I just I I just find that
20:12 remarkable. Like the the inspiration in
20:14 that is it's like on many many many many
20:16 levels.
20:20 And the thing that gives me joy about
20:22 that is
20:24 what it must be like for him, right? I
20:28 mean, the guy obviously has sent poems
20:31 to other people before, right?
20:33 [laughter]
20:34 I'm sure people go, "Oh, that crazy old
20:36 poet." Or just not even. They just look
20:38 at it go, "Oh, that's that's nice.
20:40 Thanks." You know, she sent him back a
20:43 song. It's like
20:47 must have literally like knocked his
20:48 socks off. [snorts]
20:52 And then when she said that, like, a
20:54 bunch of people on the live got really
20:56 excited about it. It's become like it's
20:57 come up in a number of different
20:59 conversations now like in in the past
21:03 bunch of days and I feel like same thing
21:04 with Brandon, same thing with some of
21:06 the stuff Vickiy's doing. Like I feel
21:07 like to a person some of the the Corey
21:10 Sandler the other night when she was
21:12 like you know I've got this Eloise
21:15 series can can we make a song for Eloise
21:17 and we just made that. There's just all
21:19 this um
21:23 this kind of weird
21:25 um
21:30 the interesting parts
21:34 of what we're doing with AI have nothing
21:37 to do with AI.
21:39 And I think that's absolutely right. I
21:43 think it's absolutely right.
21:45 >> [clears throat]
21:46 >> I think so many people are so missing
21:48 the point on AI.
21:52 They're looking at AI as an adversary,
21:55 right? The robots are going to get us.
21:57 It's us against AI. AI is going to take
22:00 our jobs.
22:02 AI did that. AI can't be creative.
22:05 There's all this AI AI AI.
22:10 like it's this adversary
22:15 and it's black and white. It's black and
22:17 white. You either love it or you hate
22:19 it, right? You either worship at the
22:22 feet of AI or you're a doomer.
22:27 And I feel like while I certainly lean
22:30 toward the optimistic, there's a lot
22:31 about AI that sucks bad, [laughter]
22:36 right?
22:40 And then there's a remarkableness to it
22:44 when you reframe it from
22:49 a thing that you have to oppose
22:53 to an entity that you get to collaborate
22:56 with.
23:01 And if you're sitting in a situation
23:03 where you get to where you're privileged
23:06 enough and you think about it like that,
23:08 you're privileged enough to live in a
23:10 time in history where we get the
23:13 opportunity to interact with this entity
23:17 that reflects our humanity back to us in
23:19 this amplified and magnificent way.
23:26 It then begs the question
23:31 what are you going to do with it?
23:36 Who are you going to inspire? Who are
23:38 you going to touch? What difference are
23:40 you going to make?
23:55 And increasingly
23:57 I don't give a [ __ ] about the tools.
24:05 I think it's important to understand
24:13 that there are some things to learn for
24:15 how to use the tools,
24:18 right?
24:24 But if you think about think about all
24:26 of the tools that a home builder
24:29 has to know,
24:32 right?
24:35 They've got to use back hoes and laser
24:39 levels and
24:42 things that
24:44 find out if there's electricity
24:45 [clears throat]
24:46 or plumbing underground so they don't
24:48 break a water man.
24:52 They've got to understand different
24:54 kinds of concrete and what you would use
24:56 for a foundation and what you wouldn't
24:58 and how big the rocks are. There's a lot
25:00 of incredibly technical
25:04 things that you have to know,
25:10 but in the end, what they're building is
25:12 is a thing someone's going to spend
25:13 their life in. Now, they I'm sure they
25:16 don't think about it like that. Maybe
25:18 architects do, but I I would imagine
25:20 that there's there's a fair amount of
25:22 builders that don't think about the
25:24 tools at all. The tools are second
25:27 nature.
25:29 What it then comes down to is like, do I
25:31 have pride in this thing I'm making? Am
25:32 I am I doing this in a way that's going
25:34 to make a difference in someone's life?
25:47 Like I feel like we get it. We get we
25:51 in this in in this sort of teenytiny
25:54 slice of history that get to live most
25:57 of our lives without AI and then some
26:00 amount of our lives with it.
26:07 We're in the really fortunate position
26:10 of choosing how we use AI
26:14 and what difference
26:16 we want to make for people with it. That
26:19 very well may influence how a lot of
26:23 people use it in the future.
26:27 Now, it might not seem like that on this
26:28 channel,
26:31 like like we're just hanging out talking
26:32 about [ __ ] Occasionally doing
26:34 something.
26:36 Occasionally, I finish a sentence.
26:44 [music]
26:49 Steo retired 10 years ago at 53. Good
26:52 for you.
26:54 I'm 60. It's still going strong, man.
27:03 [music]
27:11 [music]
27:14 [snorts]
27:17 [music]
27:18 Liz said something really cool today.
27:19 She was talking about um
27:23 she was talking about
27:26 curiosity
27:30 and
27:32 she said there was a time in her life
27:34 where she was sort of coming into the
27:36 present about
27:40 being curious
27:43 and she realized that she wasn't. And
27:46 she she thought she was broken.
27:51 And and what she realized was that she
27:54 was so tied up in,
27:57 you know, work and making money and
27:59 solving problems and doing the thing.
28:04 She was so obsessed with
28:07 I don't know if you know anything about
28:08 sort of theories of like solar energy
28:11 and lunar energy. Solar energy is is
28:14 sort of it's what you know psychologists
28:16 sometimes will describe as masculine
28:19 energy. Lunar energy is sometimes
28:21 described as feminine energy. I like
28:22 solar lunar because both men and women
28:25 can have both solar and lunar energy.
28:27 There's no stigma to it.
28:31 And what she was basically describing
28:32 was that her psyche was so filled with
28:35 this these solar activities. Got to do
28:38 the thing. Got to make the money. Got to
28:40 make the decisions. Got to
28:43 that there was literally no room
28:47 for the curiosity stuff,
28:51 right? That it that when you're in this
28:53 mode where you have to solve and you
28:55 have to be and you have to do,
29:00 there's no room for being curious
29:02 because there's no place for it to land.
29:04 There's no there's no place for you to
29:05 process it.
29:08 And then as we [clears throat] were
29:09 talking
29:11 within the AI salon, we've got this
29:15 cycle of AI readiness and and step one
29:18 is play first
29:20 and step two is create excellence and
29:23 step three is generously lead. And what
29:24 we actually ended up talking about was
29:27 that these are actually really distinct
29:30 psychic modes or like psychological
29:33 modes.
29:35 play first. If you're too sort of driven
29:38 to like make money or make an automation
29:41 or or solve the problem,
29:44 you there is no room for play. There is
29:46 no room for curiosity.
29:49 And so play first is really this idea of
29:51 lunar. It's about ideiation. It's about
29:54 curiosity. It's about learning. It's
29:56 about not knowing.
30:00 It's about not having expectations.
30:04 And if you can get yourself to that
30:06 place where you just let all that stuff
30:08 drift away, it makes room for new stuff
30:11 to come in. And then in create
30:13 excellence, you're shifting from that
30:15 solar energy to or to that lunar energy
30:18 to solar energy where we're going to
30:20 create excellence. We're going to set
30:21 some intentionality. We're going to
30:23 execute, right? We're going to we're
30:25 going to make the thing. We're going to
30:27 commit to the fidelity of the idea.
30:31 And then the generously lead part is
30:34 when those two things come together and
30:36 you connect it with other people in the
30:38 world. Generously lead is about saying,
30:41 "Hey, here's this thing I made." You
30:42 know, Brandon saying, "Here's this thing
30:44 I made. Here's why I made it."
30:46 Connecting with other people to say,
30:47 "Hey, here's this thing."
30:52 [laughter] That's pretty [clears throat]
30:52 good, Brandon.
30:57 [music]
31:00 But that complimentarity
31:03 of the lunar and the solar working in
31:07 tandem and then connecting with other
31:09 people to share what you've gleaned on
31:12 your little journey and then just
31:14 repeating that and repeating that and
31:16 repeating that. That's life. That has
31:18 nothing to do with AI.
31:23 Like we ended up with that cycle through
31:26 the behavior of people in the salon.
31:30 Right? We discovered
31:33 this thing that's always been there for
31:34 millennia.
31:36 Right? [gasps]
31:37 But that says to me that's that then it
31:40 then it starts to feel universal that
31:43 even though play first, create
31:45 excellence and generously lead is this
31:47 specific thing for the AI salon about,
31:50 you know, working with AI,
31:53 it's also just life.
31:56 life when done with intention,
31:59 you're in one of these three modes,
32:00 right? So, so I thought that was quite
32:04 beautiful today. Um, speaking of which,
32:08 so how many folks are in here? Oh, we
32:11 just have a handful of people in here.
32:13 All right, this is nice and intimate
32:14 tonight. Well, most of you probably know
32:15 this, but December 26th and 27th is AI
32:19 Festivus,
32:20 and it's Friday the 26th, Saturday the
32:24 27th. It is 12 hours each day [laughter]
32:30 and it's free.
32:32 So, so what we're doing is we're finding
32:36 uh as many of our good remarkable
32:39 friends as we can. Like for example, I
32:42 got uh Robert Scoble, if you know him
32:44 from uh from X, he's been around for
32:47 years and years and years talking about
32:49 he was an Apple fanboy for years and he
32:52 talks a lot now about Vision Pro and
32:54 things like that. He's going to come
32:55 speak. We've got lots and lots of people
32:59 that are going to generously
33:02 give us their time to talk about how
33:05 they use AI and how they have this
33:08 practice of
33:14 [music]
33:15 being human with this this remarkable
33:17 technology.
33:19 Um, and you're going to learn a ton, but
33:22 what you're likely going to do is make
33:24 friends and get inspired and have an
33:28 excuse not to talk to your weird uncle.
33:31 [laughter]
33:32 He was always a little grabby anyway,
33:34 [music] so you can just get away from
33:35 him [laughter]
33:42 over Christmas, too. Yeah, it's between
33:43 Christmas and New Year's. We do we did
33:45 that on purpose. So, this started, if
33:47 you don't know about AI Festivist, the
33:49 history of it, two years ago or three
33:51 years ago, we did a an event called GPT
33:54 for good, which is where we got
33:57 together, whoever wanted to show up. I
33:58 think it ended up being about, I don't
34:00 know, hundred of us, 80 of us, 100,
34:01 something like that. And
34:05 um [clears throat]
34:08 and
34:09 we made I think 150 custom GPTs for
34:13 nonprofits. That was really cool. And
34:15 then last year we did the first AI
34:17 festivus
34:19 and we had 2500 people show up and you
34:22 know 540 per hour average for across a
34:26 24-hour event which is [ __ ] bonkers.
34:30 It didn't like we conceived it two weeks
34:32 before we did it. Um our problem this
34:35 year is we've got we've got two months.
34:37 So we've got way too much time to plan
34:41 this thing. [laughter]
34:46 But if you want to see uh the speaker
34:48 lineup from last year, um if you go to
34:50 aifestivist.com, we'll we'll ultimately
34:53 update that with the new speakers and
34:54 things like that, but we're we're not
34:56 there yet. But you can see what what was
34:57 there last year. Um Oh, yeah. GPT
35:00 forgood. If you go to GPT forgood,
35:04 wait, http gpt forgood. It's.com, right?
35:08 Yeah, I think it's gpt forgood. If you
35:10 go to gptforgood.com,
35:12 Vicky Baptiste made us a website that
35:16 features all 150 of those GPTs that were
35:19 made for nonprofits. It was super cool.
35:23 There's never enough time to plan. I
35:25 know. It's so true. When you have ADD,
35:29 No.
35:32 Oh. Oh. Oh, I see. It's gpt
35:34 forgood.mmy.canva.site.
35:39 sight.
35:43 [music]
35:49 [music]
35:54 [music]
35:57 So, I want to ask the question again.
36:01 Can you please recommend some apps to
36:03 create worlds?
36:06 I got a VR headset and I want to start
36:08 creating
36:10 interactive experiences using AI.
36:14 I got
36:16 cosmic. I got nothing on that front. I
36:19 don't I don't know that world at all.
36:20 The only one I really know is I think
36:23 they're called Wonderland.
36:26 the 3D the 3D world generation thing
36:30 hasn't really kicked off yet in earnest
36:34 I think until [snorts] someone like
36:37 Unity or um
36:40 or what you call it um the big 3D one I
36:44 forget what it's called um so they put
36:47 some AI frontends on some of these 3D
36:50 machines Um
36:56 I I don't think we're going to see much
36:58 in that space. I but I think we'll see
36:59 it in 2026. There's just nothing this
37:02 year's come out that's been all that
37:03 interesting. But but that what I do know
37:06 about that world, like I'm working with
37:07 a couple of people right now that are
37:09 deep in that world. Like that is a whole
37:11 world. Um
37:14 um what's the woman's name?
37:18 She spoke at the salon like two years
37:21 ago.
37:24 Oh crap, I forget her name right now.
37:26 There's there's some people in the salon
37:27 that know that world, but it's that's a
37:29 very specific world. Like that world
37:31 goes way back to like Second Life and,
37:34 you know, and Meta.com and things like
37:37 that. So, [music]
37:39 um, it it hasn't really been hit by AI
37:41 as deep as I would like it to be right
37:43 now. I I want to be able to speak worlds
37:45 into existence. That's just not there.
37:47 >> [music]
37:51 >> That looks like a big glass of Bailey's
37:53 or Kalúa and milk. [laughter]
37:57 You wouldn't you like to know?
38:04 Oh man, I want a 30 second of Vickiy's
38:07 knowledge. I know. Well, you know, Vicki
38:09 is in that
38:11 she's in a zone right now and she's
38:13 also, you know, she's she's uh she's off
38:16 from work for a bit. Um and so even
38:21 though she's doing some recovery stuff,
38:23 her um
38:25 you know, she's got some cycles. So if I
38:29 if you start to treat, you know, this
38:31 this AI stuff, if you start to treat
38:34 your life like a daily practice, cuz I
38:36 think Vicki, she's she's I think she's
38:39 now got a GPT with all of her ideas.
38:41 She's she's pulled all of her ideas out
38:43 of chat GPT, put them into a
38:46 spreadsheet, and she's now
38:47 systematically going down problem by
38:50 problem or idea by idea and executing
38:53 them. Um, [snorts]
38:56 which is remarkable. But that's just
38:58 like what a cool time to be alive that
39:00 if you choose to do that, you can
39:02 actually you can actually pull that off.
39:04 Like, yeah. Oh, my brain is fluff like
39:07 Winnie the Pooh. That's really funny.
39:10 [music]
39:11 There was one you used to try in here.
39:13 Yeah, that's the that's the world world
39:16 something. [snorts]
39:17 Um, hang on a second. Um, let's see. Um
39:21 3D world
39:24 maker
39:31 world creator. Uh no
39:42 world. Hang on a sec. world.
39:53 Brandon might have a Tik Tok pin. I'm
39:56 using AI to motivate me every day to get
39:58 up and write. Lol. I don't know what the
40:02 LOL's about. A shoe. That sounds really
40:05 inspiring.
40:07 I'm using AI to motivate me every day to
40:09 get up and write. Why not? Love that.
40:16 Jeremy, are you here? From Corey
40:18 Sandler. Corey Sandler. Corey Sandler is
40:21 seeking Jeremy. Jeremy. Jeremy. Corey
40:24 Sandler looking for you. Is there a
40:26 Jeremy in the house?
40:29 Um, [music]
40:32 I keep it away from my story though. We
40:34 got to be purists. Education and
40:36 motivation. That's really funny. Um, I
40:40 actually think that's really important.
40:42 issue. Um, I think that I think that
40:45 every artist, every creative needs to
40:47 figure out where their boundary is with
40:52 how they want to use AI.
40:55 And I think it's I think it's a I think
40:58 it's actually a a quite noble thing to
41:02 to say, hey, this writing is my sacred
41:05 space and I don't want that invaded with
41:10 how this thing works.
41:14 I really respect that because what you
41:17 what you are doing is saying but I will
41:18 use it in these other areas which by
41:21 definition means you have to think about
41:23 it critically, right? Where will I use
41:26 it? Where won't I use it? Why?
41:29 Skybox AI. That's the one. Thank you,
41:32 Brandon. How did you find that? Because
41:35 my [clears throat] brain [laughter]
41:37 skybox world.
41:45 Mad producer skills indeed.
41:48 [laughter]
41:50 Not sky block world.
41:54 Skybox
41:55 AI and then I forget what they're Oh,
42:00 Blockade Labs, but wasn't there I think
42:02 there was a new one. There's a new one
42:05 that um
42:13 Yeah, this is the one this is the one
42:15 that I've shown before.
42:23 But there's a there's a new one
42:27 that I that I played with like a month
42:31 ago and it was called World something.
42:34 World maybe World Labs. Hang on.
42:39 World Labs
42:48 maybe.
42:53 No.
42:55 No. All right.
42:59 Um,
43:01 true 32bit HDRI is here. Changes to
43:05 memberships. We're giving you less but
43:07 charging you more. [laughter]
43:12 Explore.
43:13 Well, any one of these you can start
43:15 with this.
43:17 Yeah.
43:18 So this is this. So if you haven't seen
43:20 these, I mean these are cool, but what
43:22 the what this is is literally a sphere.
43:25 So when you generate a world,
43:28 you're you're generating a sphere that
43:30 you can sort of look up and look down
43:32 and twirl around, but it's not
43:34 navigable. It's not a 3D world, right?
43:36 This is a well, it's a 3D sphere, but
43:39 like all of the, you know, uh, geometry
43:42 in here doesn't exist. This is This is a
43:45 flat image mapped to a sphere. [snorts]
43:48 Um
43:50 the one that I played with like a month
43:52 ago, worldcreator.com. That sounds
43:55 familiar. Let me try that.
43:57 Worldcreator.com.
44:04 World The Elite Elite Realtime Terrain
44:09 for Games movies. And no, I don't think
44:11 this is it.
44:16 No, no, this is this is more of a
44:19 traditional this is, you know, what 3D
44:23 artists would use to build a world.
44:25 Look, look at those interfaces. Look at
44:27 look at the number of menu items over
44:30 here to the right. There's like
44:32 thousands of little menu items. That's
44:34 that's the nightmare of of current
44:38 world development and 3D development
44:40 software. You have to be a a freaking
44:43 rocket scientist to figure out those
44:44 interfaces.
44:46 Um,
44:49 yeah, I forget what it was, but I don't
44:51 know, whatever.
44:57 But this is kind of cool. I mean, you
44:59 can just say um
45:02 inside of a trunk of a 19
45:07 73 Nova [laughter]
45:13 Google Genie. No, it wasn't that. It was
45:15 definitely one of these weird weird uh
45:19 startup companies that had had built
45:21 something cuz basically what this
45:23 company did was rather than map their
45:27 images they generate to a sphere, they
45:30 they attempted to define some type some
45:34 topography, some geometry to map things
45:37 to.
45:39 All right, let's see if it got the
45:40 inside of a trunk right.
45:43 No, [laughter] we got it completely
45:44 wrong. It doesn't understand what a 1973
45:48 Nova is. [laughter] Things were in some
45:51 sort of fantasy world. This is not This
45:54 is not uh what you would experience if
45:57 you were in the trunk of a 1973 Nova.
46:00 [laughter]
46:02 You'd be in there with a a hammer and a
46:04 jack and and a and a flat tire
46:08 [laughter]
46:10 and probably some duct tape.
46:13 >> [laughter]
46:16 >> Second life better watch out. Novas had
46:19 big trunks. [music]
46:22 I had a a 1970 Chevy Impala. That
46:25 thing's trunk was like a queen-sized
46:27 bed. It was huge. Skybox found it.
46:29 Thanks.
46:31 Jeremy is my photographer nephew and I
46:34 want him to join us at the salon in
46:36 here. Oh, that's awesome. That's
46:37 beautiful.
46:40 Worldlblabs.ai AI maybe. Hold on. That
46:44 sounds familiar. World Labs,
46:47 which is I think why I confused it to
46:50 this one because this is blockade labs
46:53 with
46:54 uh skybox.blockadelabs.com.
46:58 And then that one's worldlab.ai. World
47:00 Labs.AI. World Labs. Hang on.
47:09 No. Oh, it it was World Labs.
47:13 No.
47:18 Well, there was something that we played
47:19 with. Continue reading.
47:22 No, this was something that I definitely
47:26 used
47:29 about. Do they have a thing? These guys
47:32 don't have a thing. This is just like a
47:33 press release website. Anyway, whatever.
47:36 All right.
47:38 >> [music]
47:48 [music]
48:01 [music]
48:07 >> Pacers had bigger ones. ones
48:10 3D World Simulators, Spatial AI, Black
48:13 Shark, Lucid, Jua, and Improbable Labs.
48:18 Yeah, I don't know. No, none of those
48:19 are the ones that I I remember playing
48:21 with.
48:24 Again, like I said, that's a whole
48:26 world, no pun intended, that's a whole
48:28 world I know nothing about. The whole
48:30 world building thing. It's something I'm
48:32 excited about. I just want to do it when
48:34 it doesn't suck and when it's easy.
48:36 [laughter]
48:40 Oh, lordy.
48:42 Yeah, cosmic with the with with a VR
48:45 headset that Skybox Labs might be kind
48:48 of fun, but the the my problem with
48:49 those is you see this cool world and you
48:52 kind of want to go explore it and that's
48:53 that's where those things fall down. Try
48:56 Blender. Oh god, good lord. Speaking of
49:00 Speaking of nested nested nested nested
49:03 menus,
49:05 h those interfaces, especially in
49:08 something like Blender that's open
49:09 source.
49:11 Wow, I remember the Pacer cart. Yeah, I
49:13 had a when I went to college, I had a
49:16 1976
49:18 AMC Hornet in sky blue. Look that up on
49:22 the internet. 1976 AMC Hornet, Sky Blue.
49:27 [laughter]
49:30 You You tell me it's not a miracle I
49:32 wasn't beat up every day. [laughter]
49:39 [laughter]
49:41 I think Claude can run Blender for you.
49:44 Can [laughter] AI make a CDROM?
49:47 That's really good. Well, you know, it's
49:49 funny. [clears throat]
49:52 We are very much in the
49:56 if you think about
49:58 games and and
50:01 game development, the CDROM era where
50:05 you were basically taking like
50:07 information repositories and putting
50:09 slick frontends on them and delivering
50:12 them on a disc. [laughter]
50:16 like it was a really exciting world for
50:19 like a five-year window there, right?
50:22 Culminating with the game Mist. Um,
50:26 [laughter]
50:28 and uh, but it but it was very much a
50:31 stepping stone to to all of the stuff
50:34 that came after it. I feel I feel like
50:37 with AI right now,
50:40 this feels conceptually identical to the
50:44 CDROM era.
50:46 Like we're going to look back at this
50:48 time we're in right now and be like, you
50:51 remember when you had to actually like
50:52 know all these tools and you actually
50:54 had to have skills like prompting and
50:58 [laughter]
51:00 like CD ROMs is like you you remember
51:03 when we had to learn learn those
51:04 authoring languages and we were using
51:06 macromedia,
51:08 [laughter]
51:09 CD Ramifier or whatever the [ __ ] the
51:12 tools were called [laughter]
51:15 And there were people that got really
51:17 good at those seven tools that you use
51:19 to put together a CDROM. It's crazy.
51:22 That's really funny. Um I think it was
51:25 Magika
51:27 Dynamic Labs, but their preview is done.
51:30 Oh, okay. All right.
51:33 Oh man, [sighs]
51:38 look at Joy Party. Joy Joy Joy Party's
51:41 in here giving some master lessons. If
51:44 you want to use Blender, you have to
51:45 connect you have to install the Blender
51:48 MCP and connect Claude to Blender and
51:50 then you can have Claude use Blender.
51:53 [laughter] That's very cool. We're going
51:56 to look back at this time and be
51:58 grateful for Kyle Shannon in the AI
52:00 learning lab. But that's very sweet.
52:01 Corey Sandler [laughter]
52:06 Joy Party. I have no idea how to do
52:07 that. Uggh. Any computer is so choked.
52:10 My computer is so choked.
52:13 >> [laughter]
52:17 >> Well, that's again, so listen,
52:22 Joy Perie, if you don't know, I mean,
52:24 Joy is someone who
52:27 who really came into this this this idea
52:31 of creating a daily practice, you know,
52:34 from this place of she had all these
52:37 stories she's wanted to tell all of her
52:39 life, and then she discovers AI and it
52:42 ignites this thing in her and so she's
52:45 she's run down these rabbit holes of you
52:48 know being able to tell stories in a
52:50 specific way which has led led to a
52:52 bunch of this I feel like like Liz
52:54 Miller Gersfeld has has a similar thing
52:57 I think all of our practices are quite
52:58 different right um
53:02 if you think like Kelly Bosch and and
53:04 even you Corey Sandler like the the way
53:06 you
53:08 run down your
53:11 sort of rabbit holes of self-expression,
53:15 you know, are very particular to how you
53:17 think and how you work. And I that feels
53:18 right to me. I think that
53:21 I think it's I think it's a it's an ugly
53:24 game when when [clears throat]
53:26 we start looking at, oh, I should learn
53:30 this technology just for the sake of
53:32 learning it just because everyone's
53:34 talking about MCPs.
53:36 Eh, like eh, who gives a [ __ ] Now, if
53:40 you're really passionate about
53:43 I want to create [clears throat] a
53:45 central place where I can do all of the
53:49 activities of the world,
53:51 then you should probably learn MCPs,
53:55 right? Like if if your passion is
53:56 somehow connecting all the apps of the
53:58 world so you could just ask for anything
54:00 and it will be generated, then you're
54:02 probably running down some MCP rabbit
54:05 holes. But if you're not, who gives a
54:07 [ __ ]
54:08 You know, it just eh whatever
54:12 should be talking about MCR.
54:15 Do you mean MCP? Um
54:19 1995 was click to explore. 2025 is
54:22 described to create. Yeah, exactly.
54:26 Exactly. Like this is we are absolutely
54:29 in an era. I think one of the biggest
54:31 mistakes people are making right now on
54:34 all fronts, on investment fronts, on
54:37 business fronts, on personal use of AI
54:40 fronts,
54:43 is making this the mistake of thinking
54:46 that how the world is today
54:50 is in any way going to resemble how it
54:52 is a year from now.
54:55 Like it's just like we're we have we
54:58 have such not a clue [laughter]
55:01 about what's coming.
55:04 Which again for me it keeps pushing me
55:07 back to
55:09 what are we each doing individually like
55:12 as a daily practice to just be in the
55:15 conversation in the game thinking about
55:18 what we want thinking about what we want
55:19 to do thinking about the things that
55:21 we're passionate about. And then based
55:23 on that, then figuring out, okay, what
55:26 tools should I be exploring? What areas
55:28 should I be poking down and running
55:30 down?
55:34 Because all that shit's going to keep
55:35 changing.
55:38 So,
55:41 which I know if you're trying to build
55:42 something that's like a really shitty
55:44 thing to say, but I think it's a weird
55:47 time. I talked to Mike Lavine from Movie
55:49 Flow today. He and I check in every
55:52 every few weeks and and we talked today
55:55 and it's like,
55:57 you know, he's in the middle of building
55:59 a tool
56:01 that
56:04 allows creative filmmakers to have a
56:07 level of control
56:09 over their AI creations,
56:15 which is necessary right now because the
56:18 AI movie making tools suck so bad.
56:21 [laughter]
56:22 They just do. It's bad character
56:25 consistency and it's bad continuity and
56:27 it's unpredictability and it's
56:29 everything's right except for that bird
56:30 looks like a fire truck, you know,
56:32 [laughter]
56:33 and you're like, I just want to make the
56:34 bird not a fire truck and it [ __ ] up
56:36 the whole rest of your movie, right?
56:39 Like we're just in a weird ass thing.
56:42 Well, when
56:45 when all that [ __ ] gets fixed,
56:48 how does he adapt to that as a business?
56:50 Like, how quickly is he going to toss
56:54 out tools that in 2025 were absolutely
56:59 necessary and mid 2026 may not be?
57:04 I think that's something we're going to
57:05 all have to confront, which is there's a
57:07 part of me that's just like, "Oh my god,
57:08 that's [ __ ] exhausting.
57:11 >> [laughter]
57:13 >> I just got this thing figured out. Now I
57:15 got to learn the next one. And the
57:17 answer is yes.
57:20 If you want to keep playing in the game,
57:22 right? If you want to keep playing in
57:23 the game, it's just that's the [ __ ]
57:25 deal. Yeah, it's the [ __ ] deal. You
57:28 know what I'm saying? You know what I'm
57:30 saying?
57:32 As an indie filmmaker, an indie
57:34 filmmaker is wondering about AI
57:35 translation tools for subtitles,
57:38 but I think even that is something
57:41 At least they figured out hands. Yeah,
57:43 exactly.
57:45 Achilles standing. What's happening?
57:48 I get that too with documents like the
57:51 trunk in your Nova. The irregulars are
57:54 three years in. We know that we don't
57:56 know. Yeah. Yeah.
58:00 Yeah.
58:03 I You know what's funny? I I was when
58:05 when I was talking with Andy and and Liz
58:07 today
58:09 like one of the things that struck me
58:11 there there's
58:13 some things are really easy to say like
58:16 it's really easy to say be curious
58:20 and play if you're in survival mode.
58:23 It's really hard to be curious and play
58:25 because you're in survival mode.
58:27 I think another one I think another one
58:31 another word that's kind of like curious
58:33 be curious is be adaptable.
58:36 Embrace adaptability. And I like I say
58:39 that and I think that I think that
58:44 adaptability is probably going to be the
58:46 single greatest
58:48 attribute you can have to to be
58:52 successful over the next 5 years cuz
58:54 just shit's going to change so much. But
58:56 like adaptability
58:59 what it means [laughter]
59:02 is that on a regular basis you have to
59:07 suffer these ego deaths
59:11 where like maybe you built this really
59:12 cool tool. I I remember like we as a
59:16 group of irregulars, we went through a
59:18 whole ego death together
59:22 and it and it I'll tell you what, the
59:25 the GPT for good event,
59:28 the reason we didn't have a second GPT
59:30 for good event is because Sam Alman
59:33 [ __ ] lied to us. [laughter]
59:36 Sam Alman said, "If you learn how to
59:39 make GPTs, it's going to be awesome. I'm
59:42 going to make you a store and you're
59:43 going to be able to sell these things
59:44 and these are going to be the best
59:45 things in the history of the planet. And
59:48 we're like, cool. And it was like it was
59:51 November of 20
59:53 three that those things came out.
59:58 And so we went and we made we've [ __ ]
1:00:01 did GPT for good. We built GPTs for
1:00:03 nonprofits. It was insane. It was crazy.
1:00:08 And then they just [ __ ] forgot about
1:00:10 the store. They just dropped it. They
1:00:12 didn't give a [ __ ] They're moving on.
1:00:13 They've raised their $10 billion,
1:00:16 [laughter]
1:00:16 right?
1:00:19 And so, what do you do? Well, you move
1:00:21 on.
1:00:24 But like
1:00:26 it wasn't not painful. Like there like
1:00:29 there's a lot of people in this
1:00:31 community that built hundreds of GPTs.
1:00:36 My hair is suffering an ego death.
1:00:39 [laughter]
1:00:45 Right. I'm glamping. [laughter]
1:00:49 You're You're glamping and watching the
1:00:51 AI learning lab. Well, I'm glad my hair
1:00:53 could rise to the occasion. Get it? See?
1:00:56 See how it's
1:00:58 But adaptability is really hard because
1:01:01 what adaptability means is you have to
1:01:04 you have to be in the game and build
1:01:07 something knowing
1:01:10 knowing
1:01:11 that it's going to be irrelevant in
1:01:13 somewhere between 3 weeks and eight
1:01:16 months [laughter]
1:01:19 just is. And like not only like
1:01:21 irrelevant like maybe like completely
1:01:24 useless because some new thing came
1:01:26 along that replaced it or just did the
1:01:28 thing the problem that you solved is now
1:01:30 just solved in a much more elegant way
1:01:31 because of AI.
1:01:35 That's not easy, right? How do you deal
1:01:37 with that? Well, this is again why we're
1:01:40 going back to this idea of creating a
1:01:42 daily practice around how you use AI.
1:01:46 Because if your purpose, if
1:01:51 how you think about AI is much more
1:01:53 about your intentionality,
1:01:56 I think it's going to be bit easier to
1:01:58 go, okay, I'm going to let that go. I'm
1:01:59 going to let that go. I'm going to let
1:02:01 because this thing's still here and now
1:02:02 I can do that thing better or different
1:02:04 with these new tools. I'm going to let
1:02:06 that one go. If you get caught up in the
1:02:08 tools, then you go along with them. That
1:02:10 sucks.
1:02:12 Your hair is amazing. [laughter]
1:02:14 YouTube comment. Fabiana,
1:02:18 thank you for acknowledging survival
1:02:20 mode. Sometimes I'm here just for the
1:02:22 chatter. Yeah.
1:02:24 Yeah.
1:02:26 I think I I I
1:02:30 think we're all we're all going through
1:02:32 some [ __ ] This this has been an intense
1:02:34 year. It's been an intense year. And I
1:02:37 think 2026 is probably going to get more
1:02:39 intense.
1:02:44 And so what do we do? Well,
1:02:48 part of what we do is what we're doing
1:02:51 here. Side hustle Mimi or Mimi 369
1:02:55 um reaching out to Source Camp asking
1:02:57 how she's doing. Um
1:03:02 you know, Brandon making the thing for
1:03:04 SNAP recipients. Um that could make a
1:03:08 difference in people's lives. So, I
1:03:09 think part of it is just being in
1:03:11 community.
1:03:12 Um, but [snorts] yeah, I mean, listen,
1:03:14 if if if me being silly night after
1:03:18 night or like tonight I'm not being
1:03:20 silly at all. I'm just being like
1:03:22 philosophical. I don't even know if I'm
1:03:23 making any [ __ ] sense tonight for for
1:03:25 what it's worth. I'm just sitting here
1:03:28 self-editing going, "What the [ __ ] are
1:03:29 you even saying?"
1:03:32 Um, [clears throat]
1:03:34 but if nothing else, this gives us a
1:03:36 little time to like just not be in like
1:03:39 I had a really intense day today. You
1:03:41 know those days? Have you ever had those
1:03:42 days where it's like you have a bunch of
1:03:47 things to do but they're all for
1:03:48 different projects
1:03:51 and then every one of them requires a
1:03:53 different mental model?
1:03:56 Like I started out this morning with a
1:03:59 really incredible meeting about Sydney,
1:04:02 my musical
1:04:03 that was invented here,
1:04:06 right in real time, March 19th, 2023. Go
1:04:10 watch the video. You can watch the the
1:04:12 birth the moment
1:04:15 a musical was was
1:04:19 the little OAM and the sperm came
1:04:21 together. squit [laughter]
1:04:23 and like you can actually watch it be
1:04:25 born.
1:04:27 And so I I had that that was my first
1:04:28 meeting. And then the next one was about
1:04:30 story vine and it was it was all intense
1:04:32 and we had to figure a bunch of [ __ ]
1:04:33 out. And then the next one was it was
1:04:34 just everyone was a different mental
1:04:37 model. And then in between that people
1:04:38 were calling me, hey, I just wanted to
1:04:40 talk and brainstorm and like
1:04:43 like my head hurts.
1:04:46 And [snorts] so maybe like why I can't
1:04:48 really function tonight is my brain is
1:04:51 just [ __ ] mush.
1:04:53 [snorts]
1:04:57 But
1:05:01 it's important in my life
1:05:05 to show up for this.
1:05:09 I didn't realize, you know, what's funny
1:05:11 and [ __ ] up.
1:05:14 When when Liz first brought up the idea
1:05:17 of creating a daily practice as as part
1:05:20 of what she said is who I respect in the
1:05:24 salon and and who's doing really good
1:05:27 work in AI,
1:05:31 like have a daily practice that involves
1:05:34 AI. And the minute she said it, I got
1:05:36 like envious. I'm like, oh
1:05:40 yeah, there's people that have like a
1:05:42 daily practice. Like I envy that.
1:05:44 [laughter]
1:05:45 Like I was completely divorced from the
1:05:49 fact that I show up here night after
1:05:51 night after night. Like I have a daily
1:05:53 practice. It's called the AI learning
1:05:55 lab, right? And you have a daily you are
1:05:57 regulars that show up here night after
1:05:59 night have have a daily practice. You
1:06:00 show up here, you engage, right? Or or
1:06:02 you lurk. Like I don't give a [ __ ] if
1:06:05 you show up here and never say a [ __ ]
1:06:07 thing. I'm sure there are a bunch of you
1:06:09 on this call right now who've never said
1:06:10 a thing, but you show up here.
1:06:12 Absolutely respect that. But it was like
1:06:15 when she said that, the the fact that I
1:06:17 was like, I want to have a practice. I
1:06:19 was like envious of it. And I was like,
1:06:22 oh, I've got one, but I never thought
1:06:25 about it like that. Like I just like
1:06:27 what's weird about this channel is I
1:06:29 committed to doing this for a year,
1:06:31 seven days a week for a year, and I've
1:06:33 backed it down to five. But it was just
1:06:35 a blind commitment.
1:06:38 It was just a commitment to say if I put
1:06:41 two or three hours a night into talking
1:06:44 about AI,
1:06:48 it's got to serve me in some way. And so
1:06:52 I'm going to do it for a year. So it was
1:06:53 just a blind commitment. [sighs]
1:06:56 And this past year,
1:06:59 I've been
1:07:01 a bit lost
1:07:04 because
1:07:06 I didn't really acknowledge that it was
1:07:08 a daily like it was in some ways it was
1:07:11 a mindless daily practice. It was just
1:07:14 more of a habit.
1:07:16 And so the minute she said that and I
1:07:18 realized, oh, this is a practice that I
1:07:21 show up here as a practice. That you
1:07:23 show up here as a practice. what we do
1:07:25 here is a practice.
1:07:28 Um,
1:07:30 and that is uh that's a big gift to me
1:07:34 because because now I start to think
1:07:36 about, okay, well, what happens if I
1:07:38 actually start to get really intentional
1:07:40 about what we do here. Hasn't happened
1:07:43 yet, [laughter]
1:07:46 but but it's important. But anyway, so
1:07:48 tomorrow night
1:07:50 starting at 5:00 p. a.m. Mountain time
1:07:53 we have our monthly AI salon presents
1:07:56 meeting and what we're presenting so
1:07:58 normally what we present is a speaker a
1:08:00 person a human being
1:08:03 and
1:08:07 tomorrow what we're talking about is
1:08:09 this idea of a daily practice. So, I
1:08:11 want you to come to the AI salon and
1:08:13 we're going to talk about
1:08:17 this thing that we've put together
1:08:18 called the AI salon mastermind practice
1:08:21 and then um the practice lab. And the
1:08:25 practice lab is a subscription area of
1:08:28 the salon where you're going to hang out
1:08:30 with other people working on their
1:08:31 practice where you can design your daily
1:08:33 practice. And we're putting some
1:08:36 structure around that. It's it's
1:08:37 incredibly powerful. And what's what's
1:08:39 amazing about this is over the past two
1:08:41 weeks or so as I've been talking about
1:08:43 this, every time I mention it to
1:08:45 someone, I'm like, "Hey, I'm you know,
1:08:47 I've got this new idea and we're kicking
1:08:49 this around." People's jaws drop open.
1:08:53 They're like, "Oh my god, that's so
1:08:54 powerful. That's so amazing."
1:08:57 I don't quite get why it's so profound
1:09:01 to people, but like it's blowing
1:09:03 people's minds because I think a lot of
1:09:06 people like there there's a lot of you
1:09:09 know this joke
1:09:10 >> you can make money with.
1:09:12 >> The reason I made this and the reason of
1:09:14 that joke is when ChatGpt first came out
1:09:17 there was a bunch of grifters that were
1:09:19 like I know better than you do and you
1:09:21 know if you buy my stupid [ __ ] course
1:09:23 you can make money with chat GBT. I
1:09:25 think we're in wave three of those
1:09:27 idiots where it's the same people making
1:09:29 the same shitty videos, but now they're
1:09:31 like, you know, I've got the perfect
1:09:33 prompt that, you know, if you're not
1:09:35 using my prompt recipe, you're not doing
1:09:37 jack. It's the same [ __ ] right?
1:09:41 Um, and so I think I think people are
1:09:44 appropriately weary of [ __ ]
1:09:49 Um, and so when I've been talking about
1:09:53 putting humans at the center of a
1:09:55 practice that uses AI and leading with
1:09:58 the humanity,
1:10:00 it's landing for people like a really
1:10:02 big deal. So anyway, so tomorrow night,
1:10:06 Liz and I are going to walk you through
1:10:08 what that is, what it's going to be. Um,
1:10:10 Liz is going to talk about how she does
1:10:12 that. I'm going to talk about how I do
1:10:14 that. And then we're going to have
1:10:16 people from the community like five
1:10:18 minutes each talk about what does that
1:10:20 mean for them? What does it mean to have
1:10:22 a daily practice?
1:10:24 And uh it's going to I think it's going
1:10:26 to be quite powerful and quite moving.
1:10:28 So So if you don't know if you're not
1:10:31 part of the AI salon, go to the salon.ai
1:10:34 and you can read about who we are, what
1:10:36 we do, see some of the upcoming events
1:10:39 and you can join the community. Um but
1:10:41 you can also see those events and RSVP
1:10:43 for them. Um, so go do that. So, so come
1:10:46 tomorrow night.
1:10:49 Can I be one of those shameless that's
1:10:50 going to sell a guide or two? Yeah.
1:10:52 Well, listen, no [ __ ] shade on people
1:10:55 out there trying to make a living and
1:10:57 sell guides and things like that. It's
1:10:59 just the I think it's a little
1:11:01 disingenuous to to
1:11:05 the the people that are like, I've got
1:11:07 the answers like you're you're an AI dum
1:11:10 dum and I'm I'm the AI genius and I'm
1:11:14 only going to give you the answers if
1:11:15 you pay me money. It feels a bit
1:11:17 predatory to me. So, I just don't like
1:11:20 it. I just don't like it. But I don't I
1:11:23 don't begrudge them for making money,
1:11:25 but I feel like there's a it's the
1:11:27 messaging that I just [ __ ] hate.
1:11:30 Yeah, [laughter] I promise I'll make it
1:11:32 substantive and and encouraging. Listen,
1:11:34 go for it. And honest to God, man, if if
1:11:37 you've got the [ __ ] fortitude to
1:11:39 >> you,
1:11:41 >> to talk like that and sell like that,
1:11:44 more power to you. It's [clears throat]
1:11:45 just I'm not gonna buy your [ __ ]
1:11:48 [laughter]
1:11:50 Vicky Baptist, I am so over prompt
1:11:52 structures. There you go. I'll tell you
1:11:54 what,
1:11:55 Vicky Baptist, I guarantee you, I
1:11:57 promise you, she has probably tried
1:11:59 every prompt structure out there.
1:12:02 And it's like there is no oneizefits-all
1:12:06 for for this AI stuff. There's just
1:12:08 there can't be. There's too many of
1:12:10 them. There's too many different
1:12:10 approaches. There's too many different
1:12:12 interfaces, too many different models.
1:12:15 Like again, what it comes back to is
1:12:18 you. What are you trying to accomplish?
1:12:21 And if you don't understand what you're
1:12:23 trying to accomplish, that's where
1:12:25 that's where there's some work to do
1:12:26 because it's not you're not going to
1:12:28 find that from the next great tool.
1:12:31 You're only going to find that from
1:12:33 yourself. I wrote a blog post about it.
1:12:35 Yeah. Beautiful. Beautiful.
1:12:39 [clears throat] There's one size for
1:12:40 sure. I do many iterations and still get
1:12:43 pretty cool results. That's cool. I'm
1:12:46 trying to get the fearful to dive in and
1:12:49 try.
1:12:51 Good. Do that. But again,
1:12:56 make sure if if
1:13:01 [clears throat]
1:13:03 you're really just trying to explore,
1:13:08 make sure you've got space in your mind
1:13:10 to be able to be curious and and let
1:13:13 stuff just be like remove expectations
1:13:15 and remove like I have to learn to do
1:13:19 this thing.
1:13:22 That's such a different mental model
1:13:24 than just I'm just going to go play and
1:13:26 explore. Like if you've never coded
1:13:29 before
1:13:31 and you just go to lovable.dev and you
1:13:34 just type in a single sentence, I want
1:13:37 an app that does X and then sit back and
1:13:41 watch what it does [laughter]
1:13:43 like
1:13:45 with no expectations.
1:13:48 And then when it gives you something, if
1:13:50 it's cool, great. And then you can
1:13:53 iterate on that and build on that and do
1:13:55 things like that. But if you go in there
1:13:57 like, I've got to learn this thing and
1:14:00 you go watch all the YouTube videos and
1:14:02 you get all the prompts and you go write
1:14:04 your product specification document and
1:14:06 chat GPT and you bring it over to Claude
1:14:09 to create a software spec and you take
1:14:11 that spec and put it into Lovable and
1:14:13 you're expecting it to be a scalable SAS
1:14:16 app within an hour. You're going to
1:14:19 smash your face into your computer.
1:14:21 [laughter] At least I would. It's going
1:14:23 to be miserable,
1:14:25 right? So, so find those distinctions of
1:14:28 when you're in these different modes.
1:14:31 The play mode requires some space. It
1:14:35 requires some not knowing.
1:14:38 It requires you being okay with
1:14:40 ambiguity.
1:14:43 create excellence is about okay now I
1:14:45 know what I want to create and I know
1:14:47 that I've learned some things up here in
1:14:48 the play area but now I'm going to focus
1:14:51 that's a completely different mental
1:14:53 model
1:14:55 [snorts]
1:14:56 recognize that those are different
1:14:58 [clears throat] and I think it'll help I
1:15:01 think it'll help you
1:15:04 I think with the learning thing right
1:15:06 when especially when you're learning
1:15:10 Um
1:15:12 [gasps]
1:15:16 especially when you're learning
1:15:18 something,
1:15:21 you know those things that you discover
1:15:23 later in life.
1:15:26 I I was talking about Joy Perie earlier
1:15:28 where she what she discovered later in
1:15:32 life was I've always had these I've had
1:15:34 these stories I've wanted to tell all my
1:15:36 life
1:15:38 and now there's this thing I can do it
1:15:40 there there was within her there was
1:15:43 this gap of skills and technical
1:15:48 knowledge and experience.
1:15:50 There was a gap there,
1:15:53 but but in that gap was this ache.
1:15:58 And so I actually just started an
1:16:00 article called, you know,
1:16:02 [clears throat]
1:16:03 do you know your aching gaps?
1:16:06 Those gaps in your humanity where you're
1:16:08 like, I know I can't do this thing. It's
1:16:10 this gap in my skill set, in my
1:16:13 knowledge set, but I want to do
1:16:15 something there. And it aches. You're
1:16:17 like, "Damn it, I wish I was good at
1:16:19 that." For me, it's like I wish I were I
1:16:22 wish I were like natively better at
1:16:25 music and I'm just not right. And yet,
1:16:29 I'm working on a musical right now. Like
1:16:31 AI came in and it filled in some some
1:16:34 weird lack that I had that was this
1:16:36 aching gap.
1:16:43 And that's something that we all now get
1:16:45 to explore and fill.
1:16:48 Kruno, what this daily practice has
1:16:51 reaped is I have an AI job. Yeah.
1:16:56 Without any um smack of intimidation.
1:17:00 Yeah.
1:17:02 Because you know what's funny, Chris, is
1:17:07 why you're not intimidated is that becau
1:17:10 because of the daily practice.
1:17:14 You know you're putting in the time,
1:17:17 right? You know you're smart and
1:17:18 capable. You're smart and capable at
1:17:19 your at your day job, right? The the
1:17:21 prei day job. You know what that is.
1:17:26 And you use AI enough to know, okay,
1:17:30 there's some things it's good at.
1:17:31 There's some things it's not good at.
1:17:33 But like someone comes in and they says,
1:17:35 "Oh, I'm an AI expert." Like you're
1:17:38 going to be like, "Are you?" [laughter]
1:17:40 Cuz I do this every [ __ ] day. And I'm
1:17:44 pretty certain you're not because I
1:17:46 don't think you can be like like I feel
1:17:49 like, you know, there's something about
1:17:51 doing it daily that is just like, you
1:17:53 know, kind of where the boundaries of it
1:17:54 are. And so because of that, you can
1:17:57 kind of sniff out [ __ ] and you can
1:17:59 like why would you be intimidated?
1:18:03 Like you'll just
1:18:06 figure it out or some problem comes
1:18:08 along that you're like, "Oh, I haven't
1:18:09 tried to solve that with AI. I can do
1:18:11 that. Let me just let me try to solve
1:18:13 that problem with AI." Nope. Still
1:18:15 doesn't work, right? You know, that's
1:18:17 super cool.
1:18:20 Super cool. Love that.
1:18:24 >> [snorts]
1:18:25 >> Kyle is salaryi.
1:18:28 [laughter]
1:18:30 Nice. [snorts]
1:18:40 Hey. So, so I'm seeing some back and
1:18:42 forth here with Mimi and Enjoy Perie
1:18:45 about being intimidated by some of the
1:18:47 tools.
1:18:51 I will share with you
1:18:54 in fall of 2022.
1:18:58 I've talked about this on this channel
1:18:59 before, so if you've been if you've been
1:19:01 here for a while, you've heard this. In
1:19:02 fall of 2022,
1:19:04 I decided
1:19:06 I wanted to make some AI images and and
1:19:10 you know, MidJourney kind of sucked at
1:19:13 this point or might not have even been
1:19:14 on the scene. Stable diffusion was was
1:19:16 the tool, right? But you had to install
1:19:20 it.
1:19:21 You had to go to GitHub. There was a
1:19:23 GitHub repository and then there were
1:19:25 like installer scripts and then there
1:19:27 was a there was this thing called Google
1:19:30 Collab which was Google virtual
1:19:33 machines. And so you would go to GitHub
1:19:35 and you would get this thing and then
1:19:37 you would go into the Collab notebook
1:19:40 and then you had to press these play
1:19:42 buttons and when you press the play
1:19:44 buttons it would execute code. So
1:19:47 basically what it was was people would
1:19:49 pre-write a series of scripts for you
1:19:52 and literally turn them into play
1:19:53 buttons, right? That was it in theory.
1:19:57 And so what I would do
1:20:00 is I would like [ __ ] [clears throat]
1:20:05 jin up the courage quite frankly to like
1:20:09 go, "Oh god, I got to go read manuals."
1:20:11 Like I hate reading manuals more than
1:20:13 anything on the planet. And so I would
1:20:16 go and I would either like I forget
1:20:18 where I went. I think I would go to
1:20:19 Reddit and on Reddit they would say,
1:20:22 "Okay, there's a new version of Stable
1:20:24 Diffusion and Dream Booth and it's super
1:20:26 easy. You click on this link and then
1:20:29 you just hit the play buttons and before
1:20:31 you know it, you're making magic."
1:20:34 And so I would go cool. And then I would
1:20:36 go there and I would go to my [ __ ]
1:20:38 Google Collab thing and I would see all
1:20:40 these play buttons and I'd go play and I
1:20:42 go and I go play and I go and I go play
1:20:45 and I go error. [ __ ]
1:20:50 I didn't know what the error was. I
1:20:52 didn't know how to fix it. I didn't know
1:20:53 how to read it. It was just a fail.
1:21:00 Nine times. Nine times
1:21:04 I went through that cycle of like
1:21:07 feeling like an idiot,
1:21:10 getting over the hump of, okay, how do
1:21:12 you do this again? Okay, I got to get
1:21:13 the the notebook. What's a notebook
1:21:15 again? How does it work? Hit the play
1:21:17 buttons, errors. And at some point, I
1:21:20 figured out, all right, let me see if I
1:21:21 can figure out this error. And and I did
1:21:24 something. I don't know. And I actually
1:21:26 solved one of the errors. And then
1:21:27 another one showed up nine different
1:21:30 times. a complete [ __ ] failure.
1:21:34 And then on the ninth time, or maybe the
1:21:36 tenth time, I got stable diffusion
1:21:39 working and I could make images. And
1:21:40 then I had to install Dream Booth, which
1:21:43 was another series of [ __ ] play
1:21:46 buttons in this stupid [ __ ] collab
1:21:48 thing that I had to install it. And and
1:21:51 somehow through that I eventually kind
1:21:53 of in my non-technical brain kind of
1:21:56 understood that there were some files
1:21:58 that lived in Google Drive and I could
1:22:00 reuse some of those file structures. It
1:22:03 was just it was ridiculously complicated
1:22:06 and and you know tech people are like
1:22:09 well it's really quite trivial. It's
1:22:11 well the thing about a notebook it's
1:22:12 just a series of scripts and and you
1:22:14 just hit the play button and it executes
1:22:16 the scripts and then if there's an error
1:22:17 of course you just track down the error
1:22:19 and right like engineers were like why
1:22:22 are you being such a [ __ ] [ __ ]
1:22:25 they weren't [clears throat] no one
1:22:27 actually said that to me but in my mind
1:22:30 they were [laughter] because because
1:22:33 I've heard people I've heard paint say
1:22:35 oh it's it's trivial to do a Google
1:22:38 notebook thing it's trivial unless it
1:22:41 breaks and you don't know how to fix it.
1:22:45 So, if you're feeling if you're feeling
1:22:47 like, "Oh my god, I don't want to go
1:22:48 into this. I'm feeling like an idiot." I
1:22:51 that's just part of the adaptability
1:22:53 thing. I think it's just part of if you
1:22:56 really want to get to the other side of
1:22:59 understanding how to vibe code or how to
1:23:01 do one of these things or in in Joy
1:23:03 Party's case, understanding Da Vinci
1:23:06 Resolve, an incredibly sophisticated
1:23:08 video editing tool. and you're just
1:23:10 gonna have to go through some [ __ ] But
1:23:12 we, you know, listen, we now happen to
1:23:13 live in a world where we now have chat
1:23:15 GPT where you can literally say, "Hey, I
1:23:18 feel like an idiot. Help me through
1:23:20 this." And it will do it.
1:23:22 Create a country cover of Guns and Roses
1:23:25 song, Welcome to the Jungle and Sunno,
1:23:27 just for the fun of it. I can do that.
1:23:28 Let's go do that. I mean, that'll be
1:23:30 easy. There there's so many of those
1:23:32 things on TikTok right now. Although,
1:23:35 you know what? I can't Oh, I would. No,
1:23:36 I'm not going to do it right now because
1:23:38 I have to go find the song and then I
1:23:40 don't know what the if if they've got
1:23:42 any rights blockers in there or anything
1:23:43 like that. But anyway, that's a good one
1:23:45 to go do. It it'll definitely do that.
1:23:47 That's a cool thing. All right. Um
1:23:52 or you can just watch Joyy's LOL on Da
1:23:55 Vinci Resolve. Awesome. That's great. Um
1:24:04 [clears throat]
1:24:08 All right, I'm gonna go. I'm gonna go.
1:24:13 Was this at all useful tonight?
1:24:15 [laughter]
1:24:18 I don't know what I said.
1:24:20 Chef Kelly, remember when Chat GPT used
1:24:23 to hallucinate and tell you it could
1:24:25 perform tasks it couldn't? Yeah,
1:24:27 exactly. Oh, wait. That still happens.
1:24:30 [laughter] It's so true.
1:24:34 side hustle Mimi. Yes, it was valuable.
1:24:38 Um, what vibe coder did you use? Oh,
1:24:41 back back in 2022. There there was no
1:24:44 vibe coder back then. Um, [snorts]
1:24:47 my first experience with vibe coding was
1:24:49 the week after chat GBT came out. I
1:24:51 wrote a I wrote a Python application
1:24:53 that made API calls to OpenAI. It was
1:24:55 pretty cool. Um, definitely valuable.
1:24:59 All right. You all are just you're all
1:25:02 irregulars. You're of course going to
1:25:03 say nice things.
1:25:05 Actually, the irregulars, I think you're
1:25:07 all salty enough now that if this is a
1:25:09 waste of time, you'd be like, "Ah, we'll
1:25:11 be here tomorrow. You can you can pick
1:25:13 up the pieces." [laughter]
1:25:20 Um, the the vibe coding tool that I am I
1:25:23 am most enamored with right now is
1:25:25 lovable. Um, just because every other
1:25:28 vibe coding tool right now still
1:25:30 requires you to be a developer. It still
1:25:33 develop it like like cursor still
1:25:36 requires you to understand what a GitHub
1:25:39 repository is and you've got to push and
1:25:42 pull things from your GitHub repo.
1:25:46 So long as you're pushing and pulling
1:25:47 things from your GitHub repo and saying
1:25:50 words like that in a sentence together,
1:25:52 assuming that anyone knows what the [ __ ]
1:25:54 you're talking about means it's still
1:25:57 too complicated. [laughter]
1:26:00 And and again, it's not too complicated
1:26:03 for people that are that want to be a
1:26:05 developer,
1:26:07 but it's too complicated for the 98.5%
1:26:10 of people who are not that
1:26:13 to some degree. And that's what
1:26:15 Lovable's attempting to do is to just
1:26:17 say just come here. We'll take care of
1:26:20 you. We'll take care of the security.
1:26:22 We'll take care of database setup. We'll
1:26:24 take care of web server setup. We'll
1:26:26 take care of domain um DNS management.
1:26:31 We'll take care of user authentication
1:26:33 and we'll take care of the building your
1:26:35 application. And we'll take care of the
1:26:36 interface design. We'll do it all. You
1:26:39 just tell us what you want. That's what
1:26:41 they're attempting to do. They're the
1:26:43 closest right now in my opinion to
1:26:45 pulling that off. Um I think there I
1:26:48 think 2026 we will we will have dozens
1:26:53 dozens of tools that are that are
1:26:55 lovable class or better. Um and
1:26:58 hopefully Lovable, you know, stays in
1:27:00 the lead. I think they're they're a
1:27:02 really smart company. I uh I am
1:27:05 technically a lovable ambassador, but I
1:27:07 would talk about them even if I wasn't.
1:27:11 Um,
1:27:12 but that's why I'm so bullish on them is
1:27:14 because like
1:27:17 they clearly recognize that there's a
1:27:20 market here
1:27:23 for for non-technical people to be
1:27:26 developers. And developers [ __ ] all over
1:27:29 that idea. Well, you know, it's not
1:27:31 scalable. Like every time every time I
1:27:34 post a [ __ ] lovable app, they're
1:27:36 like, "Well, you know, this thing's not
1:27:37 scalable. That's, you know, it's it's
1:27:39 full of security holes. I got your
1:27:42 social security number, you big fat
1:27:43 losser. Yeah. Like, I know. I know. I
1:27:45 don't care. I don't care. I made an app.
1:27:49 Can I just Can I just celebrate
1:27:52 the joy of having created an app without
1:27:55 having any coding knowledge for like
1:27:57 five minutes before you [ __ ] all over
1:28:00 me? [laughter]
1:28:01 You [ __ ] propeller head.
1:28:10 >> [laughter]
1:28:11 >> Oh my god. Right.
1:28:15 Just let us have a little [ __ ] joy.
1:28:21 Oh, I made this song that I'm really
1:28:22 happy with. It'll never have the soul of
1:28:24 a human. Okay. All right. Could I just
1:28:28 enjoy the fact that this song makes me
1:28:30 happy? No. It's theft. You're a
1:28:34 talentless [ __ ] loser. Okay. All
1:28:37 right.
1:28:39 Can I just have like two minutes to
1:28:40 enjoy my song before you evviscerate?
1:28:43 No. Okay. All right. No, that's good.
1:28:44 That's solid. That's solid. [laughter]
1:28:48 [snorts] Seriously, your laughter is
1:28:50 pure happiness.
1:28:52 [laughter] My laughter at my pain.
1:28:57 I can't believe the article that I wrote
1:29:00 on Chain of Craft where I just got
1:29:03 eviscerated on LinkedIn. God, I got
1:29:06 eviscerated.
1:29:09 Literally all I was saying was
1:29:12 when you produce something with AI,
1:29:15 there's a bunch of steps
1:29:17 that are not the AI and that we should
1:29:22 acknowledge
1:29:23 even for ourselves
1:29:25 that my contribution here was more than
1:29:28 just pressing a button. My contribution
1:29:29 here was this chain of craft where I
1:29:31 thought about the idea and I thought
1:29:33 about the prompt and then it generated
1:29:35 some [ __ ] that I didn't like and then I
1:29:36 modified the prompt and then I and then
1:29:38 out came this thing that I liked.
1:29:41 Holy [ __ ] did I get eviscerated for
1:29:43 that? How dare you use an AI tool, you
1:29:46 talentless piece of poop.
1:29:49 [laughter]
1:29:54 Oh man. All right, I'm leaving.
1:29:58 Anyway, enjoy your creations [laughter]
1:30:01 for the for the 38.2 seconds that you
1:30:04 can enjoy them before people yell at you
1:30:06 and tell you what a piece of [ __ ] you
1:30:08 are for using AI. [laughter]
1:30:12 Or,
1:30:14 you know, do stuff like what Brandon
1:30:16 did.
1:30:18 Make a thing using AI that just says,
1:30:20 "Hey, if you're struggling with
1:30:21 something, I made a thing for you. Hope
1:30:24 this helps.
1:30:27 because that's not about AI.
1:30:30 That's about a human being that gives a
1:30:32 [ __ ] about other human beings. And you
1:30:36 shift the conversation. And that's
1:30:37 that's what this whole thing about being
1:30:40 in an AI practice is about or being in a
1:30:42 practice using AI. It's what it's all
1:30:44 about is figuring out what's the
1:30:46 difference we want to make in the world.
1:30:48 That's what the salon that's where we're
1:30:50 going to take this [ __ ] salon. We're
1:30:51 going to take this community. So, I want
1:30:53 you to do me a favor. How many people
1:30:55 are here? 30 people here, 40 people on
1:30:57 YouTube.
1:31:00 My request to you tonight is what's
1:31:03 tonight? Tonight's Monday.
1:31:06 My request to you all tonight, and I
1:31:08 don't ask for much. I don't think I ever
1:31:10 ask for anything. I mean, I ask you to
1:31:12 come to [ __ ] and occasionally, you know,
1:31:14 go consider subscribing to something,
1:31:17 but I don't really ask for anything.
1:31:21 My request is that you come to the salon
1:31:24 tomorrow night. The salon presents. My
1:31:27 request is that you invite someone.
1:31:30 If they can't come, they can't come. But
1:31:32 then you invite them. And if they can't
1:31:34 come to the salon tomorrow night, have
1:31:36 them come to the learning lab after the
1:31:38 salon. So, we'll be here tomorrow night
1:31:41 as well. And then for every night this
1:31:43 week, invite someone new.
1:31:47 I'd like to ex start to expand this
1:31:49 circle because I think the stuff that
1:31:51 we're up to is actually quite important.
1:31:54 I don't know how to talk about it yet.
1:31:55 It feels awkward and weird,
1:31:59 but it feels really important. Okay.
1:32:04 So, so think about who in your life
1:32:09 might enjoy this, might benefit from
1:32:11 this, might have the aptitude for it,
1:32:14 might might have the interest in
1:32:17 leveling up their game. Not just their
1:32:19 AI game, leveling leveling up their game
1:32:24 because that's what we're talking about.
1:32:26 This has got nothing to do with AI. The
1:32:28 stuff that I'm talking about, the stuff
1:32:29 that I'm excited about is about us as
1:32:32 human beings getting better and using AI
1:32:35 as [ __ ] rocket fuel for that.
1:32:40 And apparently
1:32:42 not a lot of people are thinking about
1:32:44 that because people are getting really
1:32:45 excited about it when I talk about it.
1:32:47 All right,
1:32:49 cool. Peace out. 5:00 tomorrow night, AI
1:32:53 Salon. Be there mountain time. So, 7
1:32:56 o'clock Eastern, 4 o'clock Pacific. All
1:32:58 right, peace out. Hope you have a good
1:33:00 night and I will talk to you tomorrow.