10/28/2025 - Shifting from AI Tools to a Daily Creative Practice for Meaningful Work

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0:07 [music]
0:19 [music]
0:24 [music]
0:40 [music]
0:44 Hello.
0:47 [music]
0:52 Hello.
1:10 10,000 words sown around my head. 10
1:14 million more in books written [singing]
1:16 beneath my bed.
1:22 I wrote or read [singing and music] them
1:24 my home when searching in the swamps.
1:27 Still can't find how [singing] to hold
1:29 my hands.
1:34 And I know you need [singing] me in the
1:37 next room over. I'm stuck in here on
1:41 paralyze.
1:47 >> For [singing] months I got myself in
1:49 ruts. Too [music] much time spinning
1:51 mirrors framed in yellow [singing]
1:53 walls. [music]
2:00 Ain't that like most people? I'm [music]
2:03 no different. I don't think of things
2:05 [singing] I don't know about.
2:10 [music]
2:11 Well, like most [singing] people, I'm no
2:14 different. Like to talk on things we
2:16 don't know about. I am
2:24 [music]
2:33 [music]
2:38 Ial.
2:50 >> [singing]
2:59 [music]
3:02 >> Happy Tuesday, good people. What's
3:04 happening out there in radio land?
3:07 [music]
3:12 [music]
3:35 >> [music]
3:40 [music]
3:52 [music]
3:54 >> Oh
4:01 yeah.
4:04 [music]
4:08 Woohoo. [music]
4:17 >> [music]
4:23 [music]
4:28 [music]
4:33 >> If you're on YouTube or X or LinkedIn,
4:35 do me a favor. Put a put a comment in
4:38 just so I can see that you're alive.
4:42 >> [laughter]
4:45 >> And then if you're on Tik Tok, share the
4:47 live. Let's get some Let's get the word
4:49 out.
4:51 Let's get the word out, people.
4:57 [music]
5:03 Thank you. Sad Hustle Mimi. [music]
5:10 >> [music]
5:11 >> Yo, Vicky Baptiste, what's happening?
5:14 What's shaking? What's going down?
5:16 [singing]
5:22 [music]
5:28 [music]
5:33 >> [music]
5:36 >> Hello.
5:41 [music]
5:50 >> [music]
5:57 [music]
6:01 >> What do you think, champ? You a good
6:03 boy.
6:05 [music]
6:13 [music]
6:21 >> [singing]
6:22 [music]
6:26 [music]
6:33 [music]
6:38 [music]
6:41 >> Looking for app testers. Look for
6:44 looking for ask for help in the salon.
6:48 Okay.
6:51 Ask for help. [snorts] Let's see. Is
6:53 that from Vicki?
6:56 Looking for salon members who are small
6:58 business owners willing to do some
7:00 UX testing
7:03 on an app. Send me a DM. Okay. So,
7:07 here's what we're going to do. We're
7:08 going to we're going to start to shift
7:11 shift a little bit about how we do
7:13 things in here. Um, [clears throat]
7:17 [music]
7:23 how many folks are here? 12 there, 18
7:25 there. [music]
7:27 We got a handful of people here.
7:29 the people that are here that are
7:31 regularly here. [music]
7:37 I put out a post uh on um on the salon
7:41 feed
7:43 this morning, I think, that said, "Who
7:46 treats AI like a practice?" And I got
7:47 like 11 or 12 responses. Some of them
7:50 really, really inspiring. Um,
7:55 and so I I want to start exploring what
7:59 it means
8:01 to treat AI like a practice.
8:04 And and the way I'm thinking about it,
8:06 the way the the way we have kind of
8:10 talked about the process of learning as
8:13 an AI salon member is this cycle of AI
8:16 readiness that starts with play first
8:18 and then it goes to create excellence
8:19 and then it goes to generously lead.
8:23 Generously lead is a really interesting
8:25 one because you don't need to be an
8:26 expert at anything to to to lead.
8:29 Leading can look like
8:33 sharing what you learned, sharing what
8:35 you built. Leading can also look like
8:38 asking for help. So Vicki asking for
8:40 salon members to help her test projects
8:42 she's working on gives you an
8:45 opportunity to a help her out, which is
8:48 leadership, but b start to understand
8:51 what she's doing. You get a chance to
8:53 ask her questions. You'll get a chance
8:54 to learn. Maybe she vibe coded this
8:57 thing. I assume she vibe coded this
8:58 thing. Maybe she didn't.
9:00 Maybe she's got a a developer team of of
9:03 30 people she's paying in gold bullion
9:06 that she pans out of a river in her back
9:08 40. That's possible, too.
9:12 [laughter]
9:12 But you won't know until you connect.
9:15 So, here's what I'd like to do. I would
9:17 like for you all to go right now to the
9:20 AI salon
9:23 and down the left hand side here.
9:28 Um, scroll down till you see the purple
9:31 the purple things, the little purple
9:34 ones in learn and grow.
9:37 And there's a little area there called
9:39 ask for help.
9:41 And I want you to go to ask for help.
9:44 And then I want you to click on Vicky's
9:47 thing here. I want you to DM her or
9:49 comment.
9:51 You're you're willing to do it. Okay.
9:54 Now, if you're like, "But I'm not an app
9:56 tester." That's okay.
9:59 It's okay.
10:01 She didn't ask for that. She said salon
10:03 members who are small business owners.
10:05 Okay. So, you got to own a small
10:06 business. All right.
10:09 So, anyone here who owns a small
10:10 business, you could be a soloreneur.
10:13 Kelly Camp, you definitely fit. Still no
10:16 video. Anyone else?
10:18 That's just you. I would quit and come
10:20 back in. Kelly, I think, unless I've got
10:23 really bad connectivity.
10:26 [music]
10:37 [music]
10:42 >> [music]
10:52 [music]
10:58 [music]
11:00 >> That was that little lick that turned
11:02 into that really cool song. So, so I
11:04 want you guys, we're going to start
11:07 doing like a little practice like what
11:08 have you done today? So I here's the
11:11 thing. You get credit for showing up
11:13 here. If you show up here on a nightly
11:16 ba basis, you're absolutely treating AI
11:19 like a practice or at least your
11:21 entertainment like a practice [laughter]
11:25 because I don't know that I would call
11:26 this education, but we'll call it
11:28 entertainment, edutainment.
11:32 But I want you to start thinking about
11:34 this idea of what have you done today
11:36 that that is like play? Like, have you
11:39 just played? Have you just mucked around
11:40 with something? Tried a new tool, gone
11:42 back to a tool?
11:47 Are you working on a project right now?
11:49 That's that's something that you got to
11:51 really sink your teeth into. If not,
11:54 what might that look like?
11:57 Or if you see someone like Vicki going,
11:59 "Hey, I want I want some testers." Maybe
12:01 you can help someone else work on
12:02 something they're working on. Right?
12:04 Start collaborating, which starts to
12:06 bleed into leadership. Right? Part of it
12:08 is you're making something better. Part
12:10 of it is you're helping someone else.
12:12 You're connecting. You're collaborating.
12:14 [music]
12:21 [music]
12:22 Made more Suno songs and putting them to
12:25 and putting together an album. Perfect.
12:27 I made an awesome song in Producer AI.
12:30 It's in Look what I made. Let's go
12:32 listen to that.
12:37 Champ, what are you whining about?
12:40 Play [clears throat] and create. Look
12:41 what I made.
12:44 Lori Blair, I didn't know. They didn't
12:47 know each other well, but they had a
12:48 blanket and a beach. Nice.
12:57 Can y'all hear that?
13:12 not on YouTube.
13:19 >> Hang on.
13:42 Night settles [music] on the quiet sea.
13:47 Salt tear in [music] something pulling
13:50 me. Your shadow moves through silver
13:54 [singing]
13:55 light. I hold my breath.
14:01 A [singing] promise hung between [music]
14:04 the dark and dawn. We solve into this
14:08 sacred calm beneath the stars. [music]
14:13 No need for names. Just skin and
14:16 [singing]
14:17 I are wild untamed.
14:39 The world goes soft, goes still [music]
14:42 goes blue. I'm all uncertainty
14:47 and you your [music] laughter breaks
14:51 against [singing] my chest. My pulse
14:54 [music] gives me away.
14:58 A promise [music and singing]
14:59 home between the dark and dawn. We fall
15:04 into [music]
15:05 this.
15:08 >> Beautiful. Love it. Beautiful.
15:10 Beautiful. I'm seeing all sorts of cool
15:11 stuff people are doing. Vicky Baptiste,
15:13 I vibe coded two apps today. Finished
15:15 vibe coding two apps today. That's
15:18 awesome. Like getting to a finish line
15:20 with AI is a big deal because it's
15:22 really easy to start stuff. It's hard to
15:24 finish stuff, right? Get it to a finish
15:27 line. Uh especially if you're if you're
15:29 uh if you've got the laminated add
15:32 neurospicy card with with bonus with
15:37 bonus OCD. [snorts]
15:41 >> [laughter]
15:41 >> My family is full of full of all sorts
15:44 of cards. [laughter]
15:48 [music]
15:50 Um, someone else looked up health for
15:52 their family.
15:54 Um, did research for a relative's
15:56 health.
15:58 Um,
16:01 yeah, really cool. Really cool. [music]
16:10 >> [music]
16:10 >> the 11 episode YouTube. What is going on
16:13 on Tik Tok? Tik Tok not not too happy
16:16 with us lately.
16:19 We got to get some more Mo more friends.
16:22 We got to get some more friends. Get
16:25 some old friends in here. Mhm.
16:28 I tell you what. I tell you what.
16:30 [music]
16:36 >> [music]
16:44 [music]
16:54 [music]
17:00 [music]
17:03 >> Wait. Wait, I connected with a
17:04 90-year-old Armenian poet and put his
17:08 poems in to make songs for him.
17:12 Dr. Jay, that must have been wild.
17:15 Was he blown away? I I assume his face
17:19 was a little melted. Hey, David Simon,
17:21 what's happening?
17:25 It's very, very cool. Very cool.
17:32 Over a dozen. so far.
17:35 So,
17:41 [gasps]
17:42 so that project that Dr. Jay just talked
17:45 about,
17:47 she connected with a 90-year-old
17:49 Armenian poet,
17:51 took his poems, turned them into songs
17:53 for him. I assume in some style that he
17:56 liked or you know you've been talking
17:59 like that for me
18:03 that kind of lives lives in a lot of
18:05 categories of this idea of of AI as a
18:09 practice right there's a play element to
18:12 it
18:14 like hey what if we just turn this guy's
18:16 poems into
18:18 songs
18:19 which if you've made pseudo songs is not
18:22 that big a deal but But if you're a
18:24 90-year-old Armani Armenian poet who
18:26 doesn't know AI, it's probably just a
18:29 sight of a miracle, right? [laughter]
18:33 And she didn't do one, she did 12. So 12
18:37 starts to look like an album, right?
18:40 That that, you know, length of work
18:42 starts to look like.
18:45 And that starts to live in the realm of
18:47 service, servicing someone else. It
18:49 lives in the realm of leadership,
18:52 like evangelizing what's possible, just
18:55 connecting with another human, making a
18:57 difference for someone.
19:00 AI is a practice
19:02 when you start to think about
19:08 creating something that's meaningful for
19:10 you
19:12 that other people might enjoy.
19:17 That's really powerful.
19:20 It's epic and so human. It's so human. I
19:23 I gotta tell you, man. I'm I'm I'm like
19:26 I'm newly energized with this whole
19:30 power of humanity thing that we have
19:32 going on in this channel. We have going
19:33 on in the AI salon.
19:42 A lot of people are are focused on the
19:45 technology.
19:52 And that's good.
19:55 That's good because if they weren't
19:57 focused on the technology, we wouldn't
19:59 have these tools.
20:01 But what we get to do with the
20:03 technology
20:06 like I I don't know that like it feels
20:08 like by the way Sunno can sing in
20:11 Armenian. Who knew? Yeah. I Well, I
20:14 mean, once you understand how
20:16 Transformers work, they can they can
20:19 sing, they can paint, they can they can
20:22 they can they'll be able to dance
20:24 [laughter]
20:25 and and they'll be able to do it in
20:27 Armenian. It's insane. It is insane.
20:40 So, Dr. Jay,
20:44 if you'd be willing,
20:47 um,
20:49 go do a post in the community feed
20:54 and just, um,
20:59 maybe just do a quick little like it
21:01 doesn't have to be a big long post, but
21:03 I would love I would love for you to
21:05 share that with the community. Like I
21:07 know you shared it here, but like maybe
21:09 you could share like a little blurb
21:11 about, you know, who this guy is, how
21:14 you met him, like you know, just a
21:15 little bit about the story and then and
21:17 share some links maybe to a website
21:19 where his poetry is and then to the Suno
21:22 songs.
21:26 That feels like an important one to me.
21:29 Sure. Great.
21:33 Anyone see chat GPT going into music?
21:36 Yeah, chat GPT announced that they're
21:38 they're doing that. Sunno can see more
21:40 sing Armenian. Yeah. Yeah, I saw that. I
21:42 saw it, Brandon. I talked about it. Um,
21:47 no, [clears throat] that's super cool.
21:48 That's super super powerful.
21:51 I'm uh I'm digging it. I'm digging it a
21:53 lot. Um, hang on a sec. I got to do
21:56 something here.
21:59 [singing]
22:10 >> [sighs]
22:12 >> I want to go look at the list of all the
22:14 stuff that's happened. We have that
22:16 here, don't we?
22:23 Hey, producer Brandon, did you see Matt
22:26 Farmer did a video today
22:28 on a new vibe coding app? I think it's
22:30 called emergent. Is that right? Does
22:33 that ring a bell to anyone
22:44 Replet
22:47 AI web builder emergent app creation
22:52 app.emer.sh
22:57 emergent, right? That's it.
23:01 upgrade to pro.
23:07 Huh?
23:10 Buy credits.
23:15 Hm. Fascinating. I wonder if that was a
23:17 paid ad for him. I bet it was.
23:21 [music]
23:37 >> [music]
23:54 >> That's what Sabrina's using lat lately.
23:56 It it creates mobile apps. Okay, cool.
23:59 Yeah, that's been around for a while.
24:03 [music]
24:09 [music]
24:11 Um,
24:13 let me talk about some other things I
24:17 I've been thinking about. Um,
24:35 there was a cool Let me Let me go find
24:37 something here.
25:10 >> [clears throat]
25:16 [clears throat]
25:19 >> Okay.
25:30 All right.
25:32 So, looking at this here,
25:34 I don't know if Jim Ross is in here
25:36 tonight, but if he is,
25:39 he'll be like, "G-Shocks."
25:43 [clears throat]
25:44 It's a foggy night [music]
25:46 behind the gates of self storage
25:51 where the monsters
25:53 came [music]
26:03 [music]
26:09 up. [music]
26:13 Oh, they did the smash. [music] The
26:15 story smash. The doors flew open with a
26:18 thunderous crash. They did the smash.
26:20 The [music] story smash. A spooky bash
26:23 [singing] of bones and trash. [music]
26:27 Zombies groomed in a unit for [singing]
26:30 drank in the twist on the concrete
26:32 floor. The wind spun tunes from [music]
26:34 a storage stash. While mommies unwrapped
26:36 in a lightning flash. Oh, they did
26:39 [music] the smash. The story smash.
26:41 Skeletons dance with a ghostly flash.
26:44 They did the smash. The [music] story
26:46 smash. A monster party at the sale
26:48 storage bash.
26:51 [music]
26:55 Red rents due Monday,
26:58 but tonight
27:00 we dance.
27:03 [laughter]
27:05 Um, now
27:10 if I look at this thing,
27:11 >> it was a foggy,
27:17 >> there's nothing. There's no fancy edits
27:20 here. Although that does look like Jim.
27:23 I assume that's Jim Ross as a zombie,
27:27 right?
27:29 So that is probably Nano Banana is my
27:31 guess.
27:34 Um, so these are probably all Nano
27:35 Banana and then either Sora or uh it's
27:38 probably VO VO3, right? VO3.1.
27:43 And he just
27:46 stitched a bunch of 8-second clips
27:48 together, right? And I and I say just I
27:50 I don't I don't mean to diminish it. I'm
27:52 just saying
27:54 he's not doing advanced editing
27:56 techniques here. So,
27:59 but [clears throat]
28:00 what Jim Ross does and what he's done
28:03 for years now, years
28:07 is like Jim is kind of the OG
28:11 um AI as a practice guy in in in my
28:14 opinion, right? Every morning he wakes
28:17 up, he sets his Pomodoro timer for an
28:20 hour
28:21 and he does AI. And and when I ask him,
28:24 "Well, what do you do?" He's like,
28:26 "Well, sometimes I've got projects that
28:28 I need to do and sometimes
28:30 why is it at a self storage facility?"
28:33 So Jim Ross, if you go to ThreeMile
28:35 Storage,
28:37 Jim Ross is the CEO of a self-s storage
28:41 management company.
28:43 And he's been coming to these lives
28:45 nightly for two years now.
28:49 And one of my favorite stories of gyms
28:52 was shortly after Sunno came out when it
28:54 was was it version 3.5 I think. Um you
28:58 know someone said hey how do you make a
29:00 song in Sunno? So, we went to Sunno and
29:01 I made a song and I showed people how to
29:03 make a song and I was making lyrics in
29:05 chat GBT or whatever I was doing. And
29:08 Jim Ross over on his side of the
29:10 computer just decided to make a song for
29:13 a client, a prospect that he had just
29:15 met with. And he made a song about their
29:17 business and sent it to them while we
29:20 were on the live. And he goes, he goes,
29:23 [laughter] "Dude, this is a comment. He
29:26 goes, "Dude, while you were teaching
29:27 that, I made a song for a prospective
29:30 client and sent it to him and five
29:31 minutes later, he emailed me back and I
29:34 just got the job."
29:36 And then I look at I look at this thing
29:40 that he put together, right? This is
29:42 like a Halloween,
29:45 you know, like marketing greeting card.
29:48 This is also like something that you
29:50 would see like a national,
29:53 you know, a national scale company
29:55 that's got a CMO and a marketing budget
29:58 put together. Jim's a oneperson
30:00 operation and he put together this this
30:04 Halloween video, right? That's just
30:07 that's just crazy.
30:10 And like there's a joy to this that is
30:16 it's like outsized for the size of his
30:19 operation.
30:21 And I think that's what starts to happen
30:23 when you start to treat AI like a
30:25 practice
30:28 where it just becomes part of the fabric
30:30 of your everyday exploration.
30:34 And and this is something that I
30:35 experienced in in acting school, which
30:38 which is when when you first start with
30:42 acting training, they they teach you
30:44 about the mechanics of your body and
30:46 your voice and how you hold your hands
30:48 and, you know, things like that. And
30:52 everything feels very mechanical and
30:54 weird
30:55 because you've never been used to paying
30:57 attention to what's going on in every
30:59 aspect of your body while you're trying
31:01 to act natural. It's just weird. It's
31:04 not right. AI is kind of like that. That
31:06 as you learn these tools, they're just
31:08 weird. And especially if you haven't
31:10 been like a video storyteller before,
31:14 but now you can make all this stuff. How
31:17 do you end up at a place like this?
31:18 Well, I would argue that you end up at a
31:20 place like this. Not because he didn't
31:22 read some book that said you should go
31:24 make a marketing video for the holidays.
31:28 He was just exploring and exploring and
31:31 treating it like a practice. And
31:32 probably, I don't know, last week he
31:36 thought, "Oh, wouldn't it be funny if
31:37 there were a bunch of zombies dancing
31:39 for like a Halloween video and I'll show
31:41 that to my AI group." Right? So, it just
31:44 becomes an extension of his ideas.
31:50 So if you're And
31:52 the other thing that that Jim does
31:54 really well is
31:58 as broad as his ideas are,
32:02 he's doing it for his business. This
32:04 isn't just [ __ ] around.
32:07 He's playing with AI.
32:09 He's exploring what it can do for his
32:11 business.
32:13 And then the the the amount of friction
32:15 it takes to generate something good and
32:17 interesting if you're doing it on a
32:19 regular basis is really low. So he can
32:21 experiment with things like is this
32:24 going to drive business to his company?
32:25 I don't know. But I'm talking about his
32:28 business for 20 minutes on here,
32:31 [laughter] right? It's really fun. Yeah.
32:34 I mean it's just it's crazy. So So here
32:36 we'll watch it again. I just think it's
32:37 >> a foggy night [music] behind the gates
32:40 of self story.
32:44 When the monsters
32:46 came [music]
32:49 [singing]
32:54 [music]
32:54 the way
33:00 [music]
33:06 they did the smash the [music] story the
33:10 doors flew open with a thunderous Crash.
33:12 They did [music] the smash. The story
33:14 smash.
33:15 >> A spooky bash of bones and trash.
33:18 [music]
33:20 [singing] Zombies grooved in a unifor
33:23 twist on the concrete floor. The wind
33:26 spun tunes from a storage stash. [music]
33:28 While mommies unwrapped in a lightning
33:30 flash. Oh, they did the smash.
33:32 [music and singing]
33:33 The story smash. Skeletons dance with a
33:36 ghostly flash. They did the smash. The
33:38 story smash. Monster party at the sale
33:41 store in Bash. [music and singing]
33:48 Red's due Monday, [music]
33:51 but tonight
33:53 we dance.
33:55 >> Beauty, beauty, beauty, beauty. Right.
34:01 I use chatbt to write the lyrics, sunno
34:04 to create the song, Google v3 to do the
34:06 entire video. The result is Storage
34:08 Smash.
34:10 Check it out and join us for this week's
34:12 Storage Meetup Friday, October 31st. So,
34:15 this is just an ad for his meetup.
34:19 Right.
34:23 It's catchy without being cliche.
34:25 Duty-free designs. Kyle, this is
34:27 awesome. Yeah. Yeah. So,
34:31 um,
34:36 so what I'd recommend you you start
34:38 thinking about
34:43 is, and again, I think I think for this
34:46 audience, I'm probably pre preaching a
34:48 bit to the choir, but if you're new
34:49 here,
34:53 don't worry as much about the tools and
34:55 which tools should you use and which
34:57 tools test.
34:59 Start to really think about who you are.
35:03 Like like when we when we really start
35:07 to shift the focus of this channel from
35:10 tools to a practice,
35:13 it's I it's going to feel weird. It
35:16 feels a little weird to me already,
35:20 [clears throat]
35:25 but I think it's safe to assume at this
35:27 point that anything you want to be able
35:31 to do, AI is going to be able to do.
35:33 Like any tool that does video at some
35:36 point's going to be good enough to do
35:38 any any kind of video. Same with music,
35:41 same with words, same with code, right?
35:43 So within a year, within two,
35:46 anything you want to get done,
35:50 there will be tools to get it done.
35:55 And then I think it starts to come down
35:57 to, well, what do you want to do?
36:01 And then I think that starts to look
36:03 like well if you put together a daily
36:07 practice of thinking about huh
36:12 what do I want to explore today? What do
36:13 I want to play with? Where do I want to
36:15 push myself? How can I take the the
36:18 level of execution to this thing to the
36:20 next level?
36:24 How can I put myself in the world in
36:26 such a way that I take all this stuff
36:28 that I'm learning and I establish myself
36:31 as someone who's at a minimum curious
36:33 about AI, thinking critically about AI,
36:36 trying to do good work with AI. And then
36:39 what's the work that I want to share?
36:42 Which goes back to what are you going to
36:43 create? Which goes back to what are you
36:45 going to play with to learn enough to be
36:47 able to create something interesting and
36:49 alive and vital.
36:52 which then comes back to you. What do
36:55 you want to do in the world? What's your
36:56 voice? What's your point of view?
37:02 And it feels weird to talk about this in
37:05 the context of this super fancy
37:08 technology,
37:10 right?
37:12 this stochastic parrot that just does
37:15 next token prediction that can't think
37:18 but seems mighty thinky, [laughter]
37:25 you know?
37:28 Um, who's got thoughts on this? Who's
37:31 who's for for those of you that kind of
37:32 posted about using AI like a practice or
37:35 if anyone's new here, what questions do
37:37 you have about what the hell I'm talking
37:40 about?
37:55 >> [clears throat]
38:09 >> Oh, interesting.
38:13 Lots of AI generated crap about the
38:15 hurricane in Jamaica. Fascinating. Yeah,
38:18 just be careful with all that [ __ ] I
38:20 mentioned in the salon that AI at times
38:23 feels like a superpower I have. I can't
38:26 remember life without it.
38:28 Mary Mary from the back row of class.
38:30 What's good AI for image to video
38:32 generation?
38:34 Is that nano banana? Um, so Nano Banana
38:38 is the um is the image generation piece
38:43 of it. So let's jump over.
38:47 Let's go do that.
38:51 [clears throat]
38:55 Oops.
38:58 Okay.
39:00 Shabus tab instead.
39:03 Beautiful. So we're going to go to
39:04 Gemini. Gemini Gemini.google.com.
39:12 And so they now have a tab for create
39:14 image and create video. So create image
39:18 is um
39:20 is nano banana. It's got a little banana
39:24 beside it.
39:26 And then you can do things like you can
39:29 upload. Let me see if I can find a a
39:32 picture of myself or of someone here.
39:35 Let's see.
39:40 [singing]
39:51 All right, we'll take that, dude. That
39:54 Oh, you can't see that. But that's okay.
39:56 There's some weirdass version of me. So,
39:58 I'm just going to put um this guy
40:01 in a tux
40:04 at
40:06 Lincoln Center
40:09 ready to see the opera.
40:16 And I'm just gonna Oh, I don't think I
40:19 chose Nano Banana. Let's see if it if it
40:21 figures out what I want to do here. It
40:23 may not.
40:27 It interpreted the image. So now I'm
40:29 going to say create images.
40:33 [clears throat] Make the the
40:36 image I describe.
40:40 Um and I'm going to show you Mary Mary.
40:43 I'm going to show you another way to do
40:44 this with the Gro app because it's the
40:47 Gro app is surprisingly fast at video.
40:51 There's so many I can't keep up. Okay.
40:53 So this is a really important point.
40:54 Mary Mary
40:57 this whole idea of AI as a practice
41:06 doesn't mean every day you try all the
41:08 tools. If I look at someone like Kelly
41:11 Bosch who I think everyone on this
41:12 channel you know are like fan fan girls
41:15 and boys of Kelly Bosch, right? Her work
41:17 is absolutely remarkable.
41:20 Um,
41:22 she's got a very limited tool set. She's
41:24 got a very limited amount of tools she
41:27 uses, but her practice is deep, right?
41:32 Every day she makes a video of these
41:36 crazy inspired images doing crazy
41:39 inspiring
41:41 um animations with crazy inspiring music
41:44 every day.
41:48 So, she may only know, I don't know,
41:53 five or six video tools really well,
41:56 right? The ones she's in the creative
41:58 partner program for, the ones where
42:00 she's got, you know, some some credits
42:03 banked up,
42:06 but like I bet she knows the
42:08 personalities of them really really
42:10 well. So, like you don't have to go
42:12 wide. And so I think what starts to
42:14 happen when you start to think about AI
42:16 as a practice. It's almost it's almost
42:18 less about AI as a practice, it's more
42:20 like you as a practice
42:23 figuring out what you want to do and
42:26 then based on that figuring out what
42:28 tools you want to use. Right? So here's
42:30 here's that image that was created.
42:32 Right? So there's me in a tux as if I
42:35 you know if I lost you know I don't know
42:39 30 pounds and gained a couple inches.
42:42 Right? Nice. That's solid me. That's
42:45 This is how I see me. [laughter]
42:52 This is me in my head. [laughter]
43:01 [clears throat]
43:02 Corey Sandler. Do I have to start over?
43:06 Oh my god. Really? We talked about
43:10 practice. We had everyone going to the
43:12 salon. Dr. Jay talked about an inspiring
43:17 song thing with what you call it poems
43:21 from an Armenian poet who's 90. Super
43:24 inspire. You missed a lot. Anyway, okay.
43:27 So, now here's this dude, right? Um, let
43:30 me see if I can make it wide. Um,
43:33 it tends to not be good at at aspect
43:36 ratios, but let me try make that image
43:41 16 colon 9 wide.
43:46 Let's see if that works.
43:52 A day's growth of beard and you're
43:54 there. Yeah. [laughter] Yeah, I'm close.
43:57 I'm super close to being that dude.
44:00 [laughter]
44:02 Okay, it didn't make a wide image, so
44:03 whatever. Okay, so now let's turn image
44:06 generation off and flip over to video.
44:08 Create video. Start a new chat. Oh, we
44:11 got to start a new chat. All right,
44:13 fine. So, let's copy this image. And
44:15 we'll flip over to video.
44:19 Don't ask me again. New chat. [snorts]
44:22 And I'm going to paste in that image.
44:24 And I'm going to say um
44:28 man
44:31 dances
44:36 the funky chicken
44:41 while
44:43 people stare
44:49 in awe.
44:51 stare in awe.
44:56 All right,
45:00 just a sec. We'll see how fast the uh
45:02 the V3 image generation or the video
45:05 generation is. It can take one to two
45:07 minutes. So, while that's doing that,
45:09 let me hop over to grock.com
45:13 gr.
45:20 And you can do the same thing here. I
45:22 think I can even do if I upload a file.
45:23 Let me upload that same picture. Kyle
45:31 name contains Kyle. Which one was it?
45:33 This one. Yeah. All right. I'm going to
45:36 say make a picture. Oh, wait. I got to
45:40 go to imagine. Hang on. Imagine.
45:44 We're going to upload an image. Upload a
45:47 file.
45:49 Kyle.
45:59 Boom.
46:02 Network error. What's going on? Oh, you
46:04 know what? I bet it is. I bet it's bad
46:06 file format.
46:08 G on teed.
46:12 Screw it. Uh, let's see. Um,
46:16 hang on a sec. Looks like I crashed my
46:19 browser. Wow. Grock is now crashing my
46:22 browser. [laughter]
46:24 That was that was Sora's job.
46:31 Um, yeah, that's crash. That's done.
46:34 That's That's done. Baked.
46:54 Did we get a video? Is that a video?
46:57 Yes. All right, let's go look at our
46:59 video. So, here's our VO video.
47:02 Oh, nice. It It made it wide for us.
47:07 How do I go full screen with this? I
47:08 guess I download it. Oh, wait. I got to
47:11 Yeah, that's it. All right. Well, here
47:13 we go. [music]
47:21 [laughter]
47:29 >> [laughter]
47:38 >> I mean, what if every day you made some
47:41 stupid video of your dog or yourself or
47:45 your spouse or your kids just as a
47:48 practice? Just do something dumb with AI
47:51 every day.
47:54 What's that going to lead to? You don't
47:56 know. None of us can know. We don't know
47:58 how good these things are going to get.
48:00 Like, is it possible that a year from
48:02 now I can take that little clip and turn
48:05 that into an entire movie?
48:08 Yes. [laughter] Is that you in the new
48:11 presidential ballroom? Yeah. You didn't
48:13 hear they finished it. I got invited.
48:17 I got invited as I'm the new AI liaison
48:21 to the White House. [laughter]
48:23 Make AI every day. It leads to getting
48:26 so much better at prompting. Yeah. It's
48:28 I there there was a I I wish I'd come up
48:30 with this line because it's really good,
48:32 which is 10,000 prompts as the new
48:34 10,000 hours.
48:37 You know, Malcolm Gladwell's, you know,
48:39 made that thing famous that if you want
48:41 to get good at something, you put in
48:42 10,000 hours. And
48:47 what happens when you shift your mindset
48:50 from AI as a tool to AI as a practice
48:54 is it it it suddenly doesn't become
48:57 about the tools. Your mastery of the
48:59 tools
49:01 drifts to the background. It isn't about
49:04 what is the prompt. It's about what am I
49:07 doing? What's it worth me spending? I I
49:12 just saw a video today that they say for
49:15 for meditation, 12 minutes
49:19 is the minimum number of minutes that
49:22 you have to meditate before it starts to
49:23 affect your brain. And you can do more
49:25 than that, but less than 12 minutes, it
49:28 actually doesn't affect thinking
49:31 patterns. But at 12 minutes, it does.
49:35 So, let's just say that you committed
49:36 every day for for 12 minutes, which
49:38 ain't that much, right? just commit for
49:40 15 minutes
49:42 while you're having your coffee to doing
49:45 something with AI.
49:47 What would you do?
49:50 All right.
49:54 And then if you're thinking about AI as
49:57 a
50:00 as an extension of what you're already
50:02 good at, now we get into some really
50:04 interesting territory because one of the
50:06 things that I firmly believe.
50:11 Let's let's say this. Let's say um I
50:14 don't know if you've seen the videos,
50:15 there's a guy, one of the guys with the
50:17 Neurolink implant
50:20 in his brain. He's got this tablemounted
50:23 arm that he controls with his brain and
50:26 he's like drinking water and he's using
50:28 a spoon and eating food out of a bowl
50:30 with a spoon by himself with his brain
50:33 using this robotic arm,
50:37 whatever. I I don't know what his deal
50:39 was. I assume it was some sort of spinal
50:41 injury, but he can't use his arm. So,
50:43 he's like missing
50:45 a vital function. He can't take care of
50:48 himself. And all of a sudden with this
50:51 strange and crazy technology that we
50:53 have,
50:55 he's feeding himself and he's drinking
50:57 and, you know,
51:00 and doing things he couldn't do before,
51:03 but every one of us has major gaps in in
51:10 capability, right? It might not be that
51:12 we can't use our arm, but it might be
51:14 that we're not talented at drawing.
51:18 And so we've told ourselves our whole
51:20 lives, well, I'm not an artist. I can't
51:22 do that because I'm not an artist. I
51:25 can't do that because I'm not talented.
51:28 Yeah, sorry. I I didn't go to Yale
51:30 drama, so I'm not good at I'm not good
51:32 at writing stories.
51:34 You know, I didn't go to I didn't go to
51:37 Stamford for a film degree, so I'm not
51:39 good at making movies. I didn't go to
51:41 business school, right? I didn't go to
51:44 Colombia for journalism, so I can't
51:46 write articles. I don't really know how
51:47 to research. We've all got those those
51:50 things that are
51:54 self-imposed disabilities,
51:58 right? Might not be a physical
51:59 disability. It might be a professional
52:01 disability, right?
52:05 I'm just not smart enough. Okay? I'm not
52:07 technical. [laughter]
52:08 Here, here's what I know. All you people
52:10 with your fancy technical things and
52:12 your computers,
52:14 what I know is I'm not technical.
52:16 [laughter]
52:19 But you're smart enough to say, "I'm not
52:21 technical."
52:23 So what if part of your practice became
52:26 to find one of those areas of your life
52:28 where you lackability?
52:31 So it's not disability, maybe it's
52:32 lackability.
52:37 and you say, "What AI could do that
52:40 thing for me or with me?" Or maybe it
52:43 even teaches me how to do that.
52:47 And then what if you did that for 12
52:48 minutes every day? That thing that you
52:51 knew you weren't good at.
52:54 That's going to change some some brain
52:56 cells. That's going to change some
52:57 neural pathways.
52:59 The one neural pathway I can't change is
53:02 putting the black bar up for you people
53:03 on TikTok. [laughter]
53:08 You know
53:19 like what's a thing?
53:23 We've all got these things. We've all
53:25 got these things. What is a thing? Here
53:27 might be a thing to think about for
53:29 tomorrow morning. I mean, you could do
53:31 it tonight, but we don't want to get
53:32 ambitious.
53:35 What's a thing that when you think about
53:37 doing it, it makes you sick to your
53:39 stomach?
53:41 [laughter]
53:43 Like, I don't want to do that.
53:47 I'm just not good at that. Right. That
53:49 thing.
53:57 Okay. I would create a daily card deck
53:59 for neurode divergence. Wait, I already
54:02 did. Okay. Daily dopamine.vvici.wiki.
54:06 Okay. [laughter]
54:08 Let's go. Let's go to daily
54:11 dopamine.vvici.wiki.
54:14 [laughter]
54:18 Daily
54:20 dopamine.
54:22 Is it me ne? Oh, inev
54:28 I ki do w i ki vicki.wiki
54:34 daily dopamine.
54:37 Sign in. Sign up. All right, I'm down.
54:40 Let's see. Sign up.
54:45 Oh, look at Brandon preventing me from
54:48 showing the world my passwords.
55:01 Draw your truth.
55:06 Their limits, not yours.
55:08 Being too much is someone else's limit,
55:11 not your fault.
55:13 Beautiful. Love this. Share it. Reflect
55:17 it.
55:19 Masking. Blunt.
55:25 Reflect on it.
55:28 Upgrade to premium if you want to add
55:30 reflections. Oh, Vicki, look at you. You
55:32 little capitalist.
55:34 [laughter]
55:35 She's she's she's milking she's milking
55:38 the neurode divergence.
55:40 [laughter]
55:43 I love it. It's great. That's awesome.
55:46 [laughter]
55:48 Um,
55:49 beautiful.
55:51 And and this is so Vicki started this I
55:54 don't know when, maybe a year ago. She
55:57 was doing a bunch of stuff in the salon
55:59 and I think one night here on the on the
56:02 uh on the live you talked about um
56:06 you're like I'm going to go I'm going to
56:07 go in. You you made a What did you do?
56:11 you made a custom GPT of like all of
56:13 your ideas or you had you had chat GPT
56:16 go look at everything you've ever talked
56:17 about and make you a spreadsheet of all
56:19 your ideas and now you're systematically
56:22 knocking them off. Like Vicki went into
56:25 a a fullon [laughter]
56:28 OCD like I'm going to go I'm going to go
56:30 get my backlog of all the ideas I've
56:32 ever had and I'm just going to start
56:34 building them. Like she turned it into
56:35 this ongoing practice and she's just
56:38 building and building. Yeah, that's it.
56:40 Yeah. building and building and building
56:45 and it's it's serving her in all sorts
56:48 of ways, right? She's gotten really
56:50 good. Sorry if I talk about you as if
56:52 you're not here, but she's gotten really
56:54 good at communicating and marketing and
56:57 you know, when we first started working
56:58 together, you were really shy about
57:00 putting yourself out there and now
57:01 you're just like it just flows freely.
57:04 There's something about just being in
57:06 this practice of of just building and
57:09 and generating things that are that are
57:11 ideas that you're passionate about are
57:13 really really powerful. What's best for
57:16 resizing and keeping the DPI of an
57:18 image? Well, you can so there's lots and
57:20 lots of sky plane. Um there's lots and
57:23 lots of upscalers. You can do upscaling
57:26 in Korea. There's one called uh what's
57:29 that one called? Um, the dudes on on X
57:33 all the time. Um, Javi.
57:37 Um, the hell's that one called? There's
57:39 It's kind of the Magnafi.
57:42 There's one called Magnafi, which is an
57:44 upscaler. The thing about AI upscalers,
57:47 they're amazing. They add details back
57:49 in. You kind of have to tweak with the
57:51 settings a bit, but you can you can take
57:54 really small images and upscale them to
57:56 like 8K pretty easily.
58:00 You're still as introverted as ever, but
58:02 but you know, from the from the outside,
58:04 Vicki, it it certainly doesn't appear
58:07 that you're hiding, right? You're you're
58:08 out there. You're making Tik Tok videos.
58:11 Um, yeah, Topaz Labs is another one.
58:15 Magnafi is another one. Um, Korea does
58:17 it. There's there's a bunch of them out
58:20 there. Just look up AI upscaler. Um, and
58:25 uh and they're pretty remarkable.
58:26 They're they're really remarkable.
58:29 In fact, the upscalers at this point, do
58:32 you remember? Most of you are probably
58:34 Gen Xy kind of age.
58:38 You remember all the the the cop shows
58:41 in like the 70s and 80s and 90s where
58:45 where it would be sort of set in the
58:47 slight future and they would always have
58:50 this technology that would take like an
58:53 8 pixel image of a license plate
58:56 [laughter]
58:56 and they were like it would and you'd be
58:59 able to read the license plate number
59:01 and they're like we got him. they would
59:04 go get the bad guy. And and like what I
59:07 knew in my life was that that was just
59:09 [ __ ] Like I know how computers work
59:12 and I know how upscaling works and you
59:14 can't just invent new pixels. Well,
59:18 that's not true anymore. [laughter]
59:21 You actually can. You actually can. You
59:23 can upscale in Canva, too, according to
59:25 Vicki. Cool. Yeah. Perfect. So So
59:27 there's lots of them out there. Um it's
59:30 remarkable. It's it's it's crazy.
59:34 Um,
59:37 you know, so back to this practice
59:39 thing, like I would start I would say
59:40 start thinking about, [clears throat]
59:47 do you go really narrow and specific
59:50 like Kelly Bosch does?
59:53 Do you go super wide and broad where you
59:56 just like you want to you want to touch
59:57 everything and you want to just keep
59:59 your finger on the pulse of things?
1:00:03 Is there something you're particularly
1:00:04 passionate about? If you think about
1:00:06 that area of create excellence,
1:00:10 what's something that if you created it,
1:00:12 you would feel really accomplished in
1:00:14 your life?
1:00:16 Would it be an app? Would it be a movie?
1:00:18 Would it be a book? Would it be a
1:00:20 business?
1:00:21 Would it be an art project?
1:00:26 Would it be a series of kids books?
1:00:31 Like, there's got to be a thing
1:00:35 that scares the living [ __ ] out of you
1:00:39 because you know you're not talented
1:00:41 enough. You know you don't have the
1:00:43 skills. You know you don't and that
1:00:46 little stupid [ __ ] voice in your
1:00:48 head. Oh, you think you're going to try
1:00:50 that? You so big for your britches. Oh,
1:00:52 you think you can write a novel? Mr. New
1:00:55 York Times bestseller,
1:00:57 right? Whoever the [ __ ] that was in your
1:00:59 life,
1:01:01 [laughter]
1:01:05 we now get to choose
1:01:09 to not have that limitation.
1:01:12 And while we've always had the choice to
1:01:14 be able to choose not to have that
1:01:16 limitation, historically it meant that
1:01:18 you had to like go back to college,
1:01:20 right? which might not be realistic.
1:01:23 [snorts] Lord, digital gods, thank you
1:01:24 for the gift on Tik Tok. Um,
1:01:29 but now with AI,
1:01:31 those bets are off. So, if stepdaddy
1:01:35 told you you weren't talented,
1:01:38 or if that art teacher said, "H, maybe
1:01:41 you should consider
1:01:43 a life in accounting." And and you took
1:01:45 that advice.
1:01:47 [laughter]
1:01:52 Oh. Oh, canva. Canva just upscales.
1:01:55 Okay, got it. [clears throat]
1:01:58 Do it and do it scared. Yeah, exactly.
1:02:02 Exactly. That sounds like me. Can't get
1:02:04 a decent job to save my life right now.
1:02:06 Well, the the job thing is really rough,
1:02:08 but again, so so here's one of the
1:02:10 things I deeply believe. Um
1:02:14 the the the job disruption
1:02:18 what's what's coming in job disruption
1:02:20 is very real.
1:02:22 Um I don't know that it's going to be
1:02:25 brutal in 26 but I think it's going to
1:02:27 be brutal in the next three years. as as
1:02:30 AI gets more capable,
1:02:32 um employers are going to realize that
1:02:34 their competitors are undercutting them
1:02:36 and there's only going to be one way for
1:02:38 them to compete and that's to cut cost
1:02:41 and that's going to be by far your most
1:02:43 expensive asset are your people.
1:02:47 And so what's going to happen is we're
1:02:49 going to increasingly be in a situation
1:02:50 where people get laid off
1:02:53 with good experience and good talent in
1:02:55 an industry that doesn't exist anymore.
1:02:58 >> [snorts]
1:02:58 >> And so what's going to happen is a lot
1:03:02 of people are going to be forced into
1:03:04 entrepreneurship.
1:03:06 And if you're not an entrepreneur,
1:03:09 [laughter]
1:03:09 what it kind of looks like is a
1:03:11 practice.
1:03:14 I never put that together. Starting a
1:03:17 business is a practice because when you
1:03:19 first start a business, [clears throat]
1:03:23 people will be kind to you. They'll be
1:03:24 nice. Oh, it's a great idea. It's really
1:03:26 good. Yeah, it's really good. And then
1:03:27 you're like, "Hey, you want to spend 500
1:03:28 bucks a month on it?" Uh, you know, a
1:03:31 little tight right now, but I just I
1:03:34 think really good for you. Go do that
1:03:36 business. Fantastic.
1:03:39 Right.
1:03:42 And you're just stuck with yourself and
1:03:44 this idea that you had and you're like,
1:03:47 "Fuck, why don't I have any revenue? Why
1:03:50 do I not have any customers?
1:03:54 What do I do here?" And then you wake up
1:03:56 the next morning and you're like, I I
1:03:59 don't want to do this. I don't like why
1:04:02 did I start a business?
1:04:06 And then you realize if you don't show
1:04:09 up for your business,
1:04:12 it ceases to exist.
1:04:19 And and so a lot of people so so the
1:04:22 there's crazy people out there like me
1:04:25 that choose to start businesses that for
1:04:27 whatever reason like that just felt like
1:04:29 a sensible thing to do. Like I got to
1:04:31 start something. Here's an idea. What if
1:04:33 that were a business? I've done it like
1:04:36 15 times. At this point I'm
1:04:37 unemployable.
1:04:42 If you don't have that DNA,
1:04:46 but you're out of work and you want to
1:04:48 work and your industry ceases to exist
1:04:51 in, you know, in larger entirety,
1:04:54 what do you do? I don't know. But I
1:04:58 think what it looks like is you start to
1:04:59 go like, huh, what could I do to make
1:05:02 money? And if you're in this daily
1:05:04 practice of AI, you could start that
1:05:06 conversation with AI. What can I do to
1:05:08 make money? Well, what do you enjoy
1:05:10 doing? I don't know. I enjoy this, this,
1:05:12 and that. Okay, here's 16 businesses.
1:05:15 Oh, okay. Huh.
1:05:18 Do I like any of those things enough to
1:05:20 really start a business? No. And then
1:05:22 maybe chatb says, "What do you really
1:05:24 like? What gets you excited?" Um,
1:05:28 toboggoning. I I love toboggoning. I
1:05:31 love toboggin.
1:05:34 ChatVT goes, "That's awesome. Toboggin
1:05:37 are awesome. Do you want to know the
1:05:38 history of toboggin?" You're like,
1:05:40 "Sure."
1:05:42 [laughter]
1:05:45 Before you know it, you've started
1:05:47 yourself a custom tobogen factory in
1:05:50 your garage.
1:05:52 [laughter]
1:05:55 And then how do you market toboggins?
1:05:57 You live in [ __ ] Florida, [laughter]
1:06:05 [laughter]
1:06:07 Kyle. I realized that I realized AI in
1:06:11 the creative fields has become the red
1:06:13 scare and McCarthyism, you know. Well,
1:06:15 you know what's funny, Ashu? I I there
1:06:17 there's there's two things happening in
1:06:20 the creative world right now. Well, no,
1:06:23 there's three things happening in the
1:06:24 creative world. And I and I've talked
1:06:26 about this before because I was talking
1:06:27 about it in the context of filmmakers. I
1:06:29 feel like there's going to be three
1:06:31 filmmakers in the world moving forward.
1:06:34 There's going to be people that made
1:06:35 films before
1:06:38 that
1:06:40 cross their arms and go [ __ ] it. AI is
1:06:43 evil and I'm just going to die on this
1:06:44 hill and then you know AI is going to
1:06:47 happen to them and some very very small
1:06:51 percentage of them will continue making
1:06:53 films that way.
1:06:55 Then there's going to be people like Joy
1:06:57 Perie who
1:07:00 are are probably the scourge of, you
1:07:02 know, filmmakers, right? She's like, I
1:07:05 was a sleep technician for 30 years and
1:07:07 now I make movies and she's getting
1:07:09 accepted into festivals because because
1:07:13 she's got stories she's always wanted to
1:07:15 tell her whole life but never had the
1:07:17 the access to the tools, right? And now
1:07:20 she does. [snorts] And so there's going
1:07:22 to be kind of pure AI filmmakers
1:07:25 and then there's going to be these
1:07:26 hybrids. And the hybrids are going to be
1:07:28 people that worked in one aspect of the
1:07:30 film industry and kind of off to the
1:07:33 side said, "Well, I'm not working cuz
1:07:35 there's no production happening. Maybe I
1:07:38 should see what these AI tools are
1:07:39 about." Huh. Oh, that's interesting. Um
1:07:42 Liz Miller Gersfeld's a good example of
1:07:44 this where she was a producer in the
1:07:46 advertising world for years. She did
1:07:48 high-end photo shoots and she stepped
1:07:51 away from that world after a 20-year
1:07:52 career and decided to go explore AI. And
1:07:56 this whole idea of a practice is came
1:07:58 from her. Um, and she's been treating AI
1:08:01 like a practice like every day honing
1:08:03 her craft, learning vibe coding,
1:08:05 learning movie making, learning Da Vinci
1:08:08 Resolve, doing what she needs to do to
1:08:10 build the foundation to be able to get
1:08:12 to a level to do the kind of work she
1:08:15 used to hire other people to do.
1:08:17 Um,
1:08:19 and
1:08:22 those kind of people, those hybrid
1:08:24 people that have professional level
1:08:27 aesthetics
1:08:30 and now have professional level AI
1:08:33 skills, they're going to be unstoppable.
1:08:36 They're going to be absolutely
1:08:38 remarkable
1:08:40 um, craftsman. So, one of the things I'm
1:08:41 seeing in the creative arts right now is
1:08:43 you've got a lot of anger. You got a lot
1:08:45 of people pissed off like it's just AI
1:08:47 slop. If you're if you use AI for art,
1:08:50 you're just a lazy, you know, a
1:08:52 craftless, you know, talentless bo boob.
1:08:58 Um,
1:09:01 but if you've ever used these tools,
1:09:06 I mean, you've been here when I've
1:09:07 taken, you know, some silly lick from my
1:09:09 guitar and turned it into a pseudo song
1:09:11 and then 40 songs later we're still
1:09:14 trying to figure out if this is
1:09:15 something worth putting in the world.
1:09:18 Um, [snorts]
1:09:20 there is craftsmanship in using AI.
1:09:24 Um, it's just a different kind of craft,
1:09:26 right? And and those people that that
1:09:31 like I get being angry about it. What I
1:09:33 don't get is being angry about it and
1:09:35 not trying it.
1:09:38 Like try it because maybe you were a
1:09:41 musician before
1:09:44 and you always, you know, resented
1:09:46 having to pay videographers to make your
1:09:49 music videos for you. Well, maybe you
1:09:51 can be a musician now, more quickly
1:09:53 produce your songs and now you can
1:09:56 actually produce your own music videos
1:09:58 that are like higher quality than you
1:10:00 were doing before because you didn't
1:10:01 have a lot of budget.
1:10:04 Like that's a possibility, right? It's
1:10:06 not just about the single thing you used
1:10:09 to do. So, I think we're going to slowly
1:10:12 see an opening up of the creative world
1:10:14 to accept that these tools aren't going
1:10:15 away. And the smart people are going to
1:10:18 learn how to [ __ ] use them because
1:10:21 I'll tell you this, clients right now
1:10:23 are asking for AI stuff.
1:10:27 Um, in film making and music, it's
1:10:29 definitely tools, but in writing, if any
1:10:32 whiff of AI, it's it's inquisition.
1:10:36 Yeah, but ashue that's just that's just
1:10:37 bad craftsmanship on the on the part of
1:10:40 the writer.
1:10:42 Like there are writers that I know that
1:10:45 use AI all the time and they'll use it
1:10:49 for outlining and they'll use it for
1:10:51 ideiation and they'll use it for
1:10:53 punching up paragraphs.
1:10:55 But what they do is they actually treat
1:10:58 their writing as a craft
1:11:02 and they say, "Hey, I can get to an 80%
1:11:04 draft
1:11:06 really quickly and I still give a [ __ ]
1:11:09 about my craft and so I'm going to think
1:11:11 critically about what AI generated for
1:11:13 me." If you've ever written with AI,
1:11:17 it it can be a maddening process and it
1:11:19 it can very often take you longer to do
1:11:22 something with AI than without it
1:11:24 because what you realize as you're
1:11:26 halfway through a draft is that AI just
1:11:28 started repeating itself and the whole
1:11:31 second half of the draft is garbage and
1:11:33 you're just like, "Oh, [ __ ] it." Right?
1:11:36 [laughter]
1:11:37 You just end up writing the second half
1:11:39 yourself. Now, if people are just being
1:11:41 lazy and just throwing [ __ ] out there,
1:11:43 that's they're just they're just not
1:11:46 professional.
1:11:47 Like, I think what we're starting to
1:11:49 see, and the reason that I'm I'm really
1:11:51 leaning leaning hard on this practice
1:11:54 thing, is the practice thing isn't just
1:11:56 about
1:11:58 using the tools. It's about finding in
1:12:02 yourself what your central compass of
1:12:05 quality is
1:12:07 and like upping your game.
1:12:10 Because people that can use AI tools and
1:12:13 deliver things at a higher level of
1:12:16 quality than everyone else, they're
1:12:18 going to be the ones that work.
1:12:20 So,
1:12:26 I always use a formula anyway. Not that
1:12:28 far off from using AI to draft. Yeah,
1:12:30 exactly. Did someone just give me a hat?
1:12:32 Thank you for the hat. Lord Digital Gods
1:12:35 sent me a hat and a mustache. Thank you.
1:12:37 I looked up and I'm like, "Is there
1:12:38 something on my head?" Hey. Hey, March.
1:12:41 March. Yeah. Yeah. There was a hat.
1:12:46 They just do that in the mustache. Yeah.
1:12:50 I look I look kind of like Tom Celic,
1:12:52 didn't you think? No. No. Yeah. All
1:12:56 right, Marge. Yeah. No, you enjoy the
1:12:58 wheel. I know. I know. How's Pat? That's
1:13:01 good. That's great. That's great. He's
1:13:03 looking a little long in the tooth. No,
1:13:05 he's not. Yeah. Okay. No, you're right.
1:13:07 You're right. You're right. Well, that
1:13:09 Marge, she's so funny. Anyway, all
1:13:12 right.
1:13:14 Have you tried Grock image? Yeah. So, so
1:13:16 Grock image is is really quite good. So
1:13:18 is Grock video. Um I just tried to do it
1:13:21 and it wouldn't let me up upload an
1:13:23 image. Um I did I So one of my one of my
1:13:26 passions is photography. And when I was
1:13:28 in San Francisco for TED AI last week,
1:13:32 um I was doing a little street street
1:13:34 photography with my phone and I had the
1:13:36 Gro app there and I was like, "Oh, let
1:13:38 me just drop some of my street photos
1:13:40 into Grock and like it immediately
1:13:43 animates them and like 15 seconds later
1:13:45 turns them into a video."
1:13:48 And it was really good and it was like,
1:13:49 "Oh, this is a new kind of street
1:13:51 photography. It's like sort of warped
1:13:53 memory street street photography. It's
1:13:54 really cool." Oh, Marge. [laughter]
1:13:57 Tom Celic. Magnum AI.
1:14:04 Play it again. Play what again? The the
1:14:06 uh the things the photos I made in San
1:14:08 Francisco.
1:14:10 My thinking [clears throat] is skewed in
1:14:12 movies and shows. I want AI. In writing,
1:14:16 I think society needs time. No, but you
1:14:19 know what, Ashu? That's not fair because
1:14:21 that just that's just because you know
1:14:23 AI or you know writing. So so you're
1:14:27 like oh it's fine if all those image and
1:14:29 movie people have their lives ruined and
1:14:32 the song people but but the writing
1:14:34 people need to be protected. That's not
1:14:36 that's that's not how this rolls.
1:14:39 [laughter]
1:14:40 [cough and clears throat]
1:14:42 I know a guy here in Denver.
1:14:46 Three years ago, he was the CEO of like
1:14:49 a 250 per person
1:14:52 content generation company.
1:14:55 Writers, he had 250 writers, right? And
1:14:59 clients would come to them and say,
1:15:00 "Hey, we need a bunch of social media
1:15:02 content." the writers would be all
1:15:05 and you know he said he said his demand
1:15:08 was was growing steadily and then it
1:15:12 plateaued for three months and then it
1:15:14 literally fell off a cliff.
1:15:17 He ended up he had to he had to kind of
1:15:19 quickly sell his company after laying
1:15:22 everyone off. So, you know, the writing
1:15:25 the writing thing is tough. But again,
1:15:27 like I said, in in every industry,
1:15:30 you're going to have people that were
1:15:31 the incumbents that are going to be
1:15:32 pissed off and avoid it, and they're
1:15:35 just going to have miserable lives.
1:15:37 You're going to have newcomers that are
1:15:39 like, "Oh, I didn't know I could write.
1:15:40 Now I can write. I'm going to write a
1:15:41 screenplay." Right? Producer Brandon's
1:15:44 writing a screenplay right now.
1:15:47 Then you're going to have people who
1:15:49 were writers are writers that adopt the
1:15:52 tools and they figure out where their
1:15:54 boundaries are. The thing the thing to
1:15:56 do with you is
1:16:00 really figure out where that line is for
1:16:03 you where you're like, I'm going to use
1:16:05 AI up to this point and then from that
1:16:08 point forward, it's just going to be me
1:16:10 or I'm going to create a little island
1:16:12 where this is where I do my my work that
1:16:15 feeds my soul and I'll never use AI for
1:16:17 that. But all around this, I I'll use AI
1:16:19 for all these other activities.
1:16:21 And then some people will just meld
1:16:23 those two worlds together. It's going to
1:16:24 get less and less weird,
1:16:27 but right now we're in this transition
1:16:29 and just transitions are weird. Change
1:16:31 is hard.
1:16:33 What's the best AI? What was that
1:16:35 question?
1:16:38 Avatar generator. Um,
1:16:41 I don't know. They're all quirky. Right
1:16:44 now, for me, Hedra, H is the is the one
1:16:48 I use the most for for some of my
1:16:50 commercial projects.
1:16:54 Hey Jen's okay, but it's it just Hey Jen
1:16:58 still has that uncanny valley [ __ ]
1:17:00 to it. Synthesia's not bad, but it has
1:17:03 some of that to it as well.
1:17:06 Um,
1:17:09 I don't know.
1:17:12 Like if you really want to do if you
1:17:14 really want to do avatars, like if
1:17:16 you're if you're taking this this idea
1:17:18 of AI as a practice, maybe what you do
1:17:21 is you commit for a month to just try a
1:17:24 bunch of different tools, right? Do a
1:17:26 bunch of a bunch of um month-long
1:17:30 subscriptions.
1:17:32 So, so pay 20 bucks for a tool and then
1:17:34 use that tool for a few days until you
1:17:37 run out of credits and then buy another
1:17:39 monthly subscription and use that till
1:17:41 you run out of credits. maybe just over
1:17:43 the course of a month, really dig deep
1:17:46 on five or six different avatar tools
1:17:49 and see which ones you like because
1:17:51 there might be it it it greatly depends
1:17:53 on your
1:17:56 application and like what you're trying
1:17:59 to do and what does good look like. And
1:18:01 if you're doing animated cartoon
1:18:03 characters, that's going to be really
1:18:05 different than trying to get someone
1:18:07 that looks like a an actual patient
1:18:09 that's got a particular disease and to
1:18:11 share their th story authentically. How
1:18:14 do you create the voice? How do you
1:18:15 create the animation? All of those
1:18:17 things are going to be things that that
1:18:19 feel like you need to explore, but
1:18:22 there's not there's not a
1:18:24 there's not a best AI tool right now for
1:18:27 anything.
1:18:29 Like they're all kind of steaming piles
1:18:32 of crap at the point at which you want
1:18:35 to turn something from a cool concept
1:18:38 into a production ready piece.
1:18:43 It's it still requires a lot of work.
1:18:45 And so then what that looks like is you
1:18:47 need to find the tool that matches your
1:18:50 project, your personality, gets you the
1:18:53 closest to the finish line, and then
1:18:55 you're going to likely have to take it
1:18:56 the the final way.
1:18:59 Um,
1:19:01 is it open art that is now doing
1:19:04 sickeningly wonderful real characters?
1:19:06 It might be open art. Like that's the
1:19:08 thing, Corey. I haven't like I haven't
1:19:10 really played with new [clears throat]
1:19:13 um character animation stuff in a long
1:19:16 time.
1:19:18 I'm having a real trouble right now
1:19:20 discerning between what are the core
1:19:22 models and what are rapper apps that are
1:19:25 using the core models because the rapper
1:19:27 apps are getting really sexy and
1:19:29 sophisticated and those might be the way
1:19:31 to go in the future but like I just
1:19:34 don't know like so I don't know if open
1:19:36 art is just using open source models if
1:19:38 they're using their own model I I don't
1:19:40 know so Um,
1:19:45 [cough and clears throat]
1:19:51 [singing]
1:19:53 I was interviewed by Thinking Clearly
1:19:55 podcast that broadcast on rural radio
1:19:58 today. Oh, that's cool. Nice. Congrats.
1:20:04 I think it's agentic and I don't think
1:20:06 they've quite figured it out yet. Agents
1:20:08 are weird. I I um
1:20:13 [snorts and clears throat]
1:20:14 I downloaded Oh, that's funny. Um Giga
1:20:17 narrates I I was just about to talk
1:20:19 about the OpenAI Atlas browser. Um
1:20:23 here's my experience with Agentic
1:20:25 browsers right now.
1:20:29 I don't know what to do with them.
1:20:33 I don't I don't I launched them. I I
1:20:38 launched them. I look at that sidebar
1:20:40 and I'm like,
1:20:42 "All right. Uh,
1:20:46 I I could like I feel like everything
1:20:49 right now when I look at an agentic
1:20:52 browser [clears throat]
1:20:53 is just some arbitrary thought
1:20:56 experiment." Well, you know what? If I
1:20:58 took the population of of Somalia
1:21:03 [laughter]
1:21:05 and then I just put together like like a
1:21:09 mishmash of random things. I'm like
1:21:11 wonder if it can do that and it goes off
1:21:13 and it does some [ __ ] and it comes back
1:21:14 and I'm like I guess it did that.
1:21:18 But like that's that's kind of the depth
1:21:20 of using them right now. And I think
1:21:22 part of that's because the agentic
1:21:24 features are kind of wonky. They're not
1:21:27 great. You can't really trust them to do
1:21:28 research. They hallucinate the [ __ ] out
1:21:30 of things still. Um,
1:21:34 I think it's a trick to vacuum up more
1:21:35 data. It's definitely a trick to vacuum
1:21:37 up more data. The image and audio
1:21:40 generating AI tools
1:21:42 are different than the large language
1:21:44 models. How? So, so the way they work,
1:21:47 um, here I can I don't want to get out.
1:21:50 It's too late to get out a a chart and a
1:21:52 graph. Um, [clears throat]
1:21:55 the way large language models work is
1:21:58 you embed all of this text into
1:22:01 thousand-dimensional latent space into
1:22:03 these things called tokens, which they
1:22:05 basically break up words and punctuation
1:22:07 and spaces into little chunks. And then
1:22:10 those little chunks get clustered into
1:22:12 little groups of meaning in sort of
1:22:14 thousand-dimensional mathematical space.
1:22:16 And then when you type a prompt, it
1:22:18 creates a probability that the next most
1:22:21 probable token to be the correct token
1:22:24 for your prompt is, you know, somewhere
1:22:27 in this thousand dimensional
1:22:28 mathematical space. And it'll bring it
1:22:30 down and drop that token and then drop a
1:22:32 whole bunch of tokens. So language
1:22:34 models are quite pure in in that um
1:22:38 they're just they're just dealing with
1:22:39 one kind of token. What happens with um
1:22:43 diffusion models for example
1:22:46 where you're dealing with image data or
1:22:48 video data is that they'll take a bunch
1:22:50 of images. So they'll take all these
1:22:52 images
1:22:53 and then they tag them, right? So people
1:22:56 have tagged them or machines have tagged
1:22:57 them. This is a you know picture of a
1:22:59 little boy with a red wagon and a little
1:23:02 puppy and what you know whatever
1:23:04 whatever the labels are. And they they
1:23:07 have two different models. They have a
1:23:08 language model which understands your
1:23:10 prompt and understands the word part of
1:23:12 it. And then they can associate those
1:23:15 word parts of it with a bunch of things
1:23:19 that are no longer images. They take the
1:23:21 images themselves and they noise them.
1:23:23 They they basically add noise to them
1:23:25 until they become like, you know, static
1:23:28 images of just random pixels. They're
1:23:30 not it's not random, but they're noised
1:23:33 images. Um, so the original is in there
1:23:36 somewhere, but you can't see it. It's
1:23:38 just noise. And then what happens is
1:23:40 when you do a prompt, it figures out
1:23:42 which of the images h are tagged with,
1:23:46 you know, some of the things you're
1:23:47 looking for and it mashes them all
1:23:49 together into a single pixelated image.
1:23:53 It might be 10,000 images make up
1:23:56 whatever this image is. And then they
1:23:58 basically dn noiseise it using the same
1:24:01 algorithm they use to noise them all.
1:24:04 and they dn noiseise it to reveal an
1:24:07 original image that is some
1:24:09 amalgamation. It's not one of the
1:24:11 misconceptions about the image tools and
1:24:13 the video tools is that it's copying and
1:24:15 pasting from existing work. It's not
1:24:19 it's it's just not how it works. the
1:24:21 original image kind of ceases to exist
1:24:23 and then you get this bizarre
1:24:25 amalgamation which is why you end up
1:24:27 with people with six hands or with just
1:24:29 bizarre features or things like that
1:24:31 because sometimes you're in a part of
1:24:33 the latent space where there's not
1:24:35 enough image data or there's too much
1:24:37 image data or whatever and the thing
1:24:39 that you get back is this surreal thing.
1:24:41 Um but but that's what it is. It's
1:24:43 basically two different models working
1:24:44 together. The language side of it
1:24:46 understands your words and then the the
1:24:48 image side of it basically matches tags
1:24:50 and then amalgamates images together.
1:24:52 It's wild
1:24:54 like like understanding how these how
1:24:58 these models do what they do. You don't
1:25:00 have to learn the math but just
1:25:01 understanding conceptually that the
1:25:04 original works cease to exist.
1:25:07 the there there was a uh one of the
1:25:10 recent copyright cases basically said
1:25:14 the the act of embedding a work the the
1:25:17 act of taking a book and running it
1:25:20 through the transformer architecture and
1:25:21 turning it into these tokens is a
1:25:24 transformative act meaning meaning you
1:25:27 have so fundamentally transformed the
1:25:29 book into this scattered token field
1:25:34 that the original work ceases to exist.
1:25:36 It's a transformative act, which
1:25:37 therefore means as long as you paid for
1:25:40 the original book, it's fair use to
1:25:43 transform it.
1:25:46 But then that same judge said, "But
1:25:48 there's a whole bunch of books you
1:25:49 didn't pay for. So you owe $1.5 billion
1:25:53 to authors for the [ __ ] that you stole."
1:25:56 [laughter]
1:25:57 So if they had bought them all, it would
1:25:59 have cost them a lot less than $1.5
1:26:01 billion. But the act of embedding it is
1:26:05 a transformative act which I find
1:26:07 fascinating.
1:26:09 Yeah, I was going to say six fingers.
1:26:10 Yeah, that's the other thing. You know,
1:26:13 the the the the
1:26:15 perception is that when
1:26:18 when these models kind of intelligently
1:26:21 make an image, the perception is that
1:26:24 oh, the model actually understands what
1:26:27 it's creating.
1:26:29 It doesn't. It's literally just mashing
1:26:33 [ __ ] together and going squat [laughter]
1:26:36 as one blob of, you know, of pixels and
1:26:41 and just dnoises them. I think some of
1:26:43 the newer models are doing layering and
1:26:45 masking and and things that that do
1:26:47 things like preserve faces and and
1:26:50 things like that. So, I think that I
1:26:51 think I think some of the newer ones are
1:26:53 doing some more sophisticated things.
1:26:55 But but but um yeah, it's it's just
1:26:58 wild. It's just wild how it works. And
1:26:59 it's also wild than when you interact
1:27:02 with artists
1:27:03 who who are not unjustified in being
1:27:06 pissed off that these things were
1:27:08 trained like they were trained. But now
1:27:11 that they've been trained,
1:27:13 shit's here. It's not going away. Um, we
1:27:16 all get to take advantage of that. You
1:27:19 know, essentially essentially what AI
1:27:22 has become [clears throat] is the
1:27:24 world's most powerful library and museum
1:27:29 combined together. You take you take all
1:27:32 of the output of humanity and you sort
1:27:34 of smash it into a a softballsized
1:27:37 thing that you can ask for anything and
1:27:40 it will generate anything. That's kind
1:27:42 of what we have now. Um it's pretty
1:27:45 crazy. Pretty pretty crazy.
1:27:48 That's why context is so important
1:27:50 because it doesn't really know what the
1:27:52 hell it's doing. Exactly. This this is
1:27:55 this is one of the biggest and this is
1:27:56 again Chef Kelly where I think this idea
1:27:58 of going into
1:28:00 treating AI like a practice
1:28:04 where you just constantly are
1:28:06 interacting with it. What you're going
1:28:07 to discover over time is that the better
1:28:10 it knows you, the better it knows what
1:28:13 you want, the better it knows your
1:28:14 taste, the better it knows your goals,
1:28:18 the better it's going to serve you,
1:28:20 right? And so, so it starts to be you
1:28:23 kind of have to open yourself up to this
1:28:25 thing, which is I think that freaks a
1:28:26 lot of people out. But the benefit is
1:28:29 you get to take your humanity and
1:28:31 amplify it. And I think that's kind of
1:28:35 miraculous.
1:28:37 Ripley's Museum. Indeed. Irregulars for
1:28:40 my latest practice or small glimmer into
1:28:43 it. Oh, good. All right, Corey Sandler.
1:28:46 I'll I'll take you up on that. Share
1:28:48 this tab instead.
1:28:52 [clears throat]
1:28:56 Who she who she started as, and who she
1:28:59 became is part of my process imagining
1:29:02 series that I love. This one is my
1:29:05 Eloise series Dolly 3. Wow, that's
1:29:09 great. That's beautiful.
1:29:12 Oh, I'm not sharing. I think Brandon's
1:29:14 taking a nap. Um,
1:29:18 [clears throat]
1:29:20 look at that image now.
1:29:23 I don't know if Corey put any [sighs]
1:29:30 here. Wait, let me give this some
1:29:31 loving.
1:29:33 Go purple heart. Purple heart. One of
1:29:37 the things that I was blown away by when
1:29:41 when Corey Sandler, I don't know when it
1:29:43 was, this was probably two years ago.
1:29:46 Corey Sandler kind of shared her how she
1:29:48 prompts images and how she thinks about
1:29:50 images and how she would start in a
1:29:53 place with an image and how she would
1:29:56 run down these rabbit holes
1:29:58 sort [snorts] of chasing an aesthetic
1:30:01 and she would just run and run and run
1:30:03 and run and then she would get to the
1:30:05 bottom of this rabbit hole and go like
1:30:06 that's not it and she would like run
1:30:08 down another rabbit hole and it just for
1:30:12 someone with the way my brain works like
1:30:14 if if I'm like you know, three or four
1:30:17 images down a rabbit hole. I'm like, you
1:30:19 know, you should be giving me an award
1:30:21 for this, [laughter] for how much work
1:30:23 I've done to get to this third image.
1:30:26 And she was running down like 20, 30, 40
1:30:28 images and then running down another
1:30:30 one, 20 or 30, 40. And and what's
1:30:33 amazing about how she works and and this
1:30:36 is again this is where I think that
1:30:39 I think the art of AI
1:30:42 is like any art where it's about when
1:30:46 you
1:30:49 think that what the AI created is in
1:30:52 line with your image then it's art
1:30:56 right? Like if it's just like here's a
1:30:58 prompt that's cool, share it. That's
1:31:00 slop.
1:31:02 But if you do what Corey did and said
1:31:04 whoever Eloise is, maybe she knows her,
1:31:06 maybe she's a fictitious person, doesn't
1:31:08 really matter to us, but she knows.
1:31:11 And so she knows that exploring whoever
1:31:13 this person is has got to get to a
1:31:16 certain place or it doesn't represent
1:31:18 who she is, right? And how is that any
1:31:21 different than any other art? It's not
1:31:24 [cough]
1:31:26 [snorts]
1:31:29 um or that I can do large scale projects
1:31:33 without you piecing it together. Yeah,
1:31:35 we're not quite there yet. I wish we
1:31:37 were. How long do you think before Oh,
1:31:39 how long do you think before you think
1:31:41 we can do large scale projects? Um,
1:31:46 I think we're farther away from that
1:31:48 than
1:31:49 than the tech tech bros um would lead us
1:31:52 to believe.
1:31:56 That said,
1:31:59 um,
1:32:02 go back two years ago and look at what
1:32:06 AI video looked like.
1:32:09 >> [snorts]
1:32:09 >> go back a year ago and look look what AI
1:32:12 video looked like and and look at it
1:32:14 today. So the the
1:32:19 the jankiness is being removed really
1:32:22 quickly. the the ability to do coherent,
1:32:27 consistent,
1:32:29 well-crafted stories with well-crafted
1:32:32 acting, with well-crafted dialogue, with
1:32:34 well-crafted music, with well-crafted
1:32:37 edits, with well-crafted continuity.
1:32:41 That to me feels like it's probably five
1:32:44 years out from being easy.
1:32:46 I feel like we're probably two years out
1:32:49 from anyone with some basic editing
1:32:52 skills being able to do a long form
1:32:54 thing. Like probably within a year and a
1:32:57 half, maybe two. Um, if you've got any
1:33:01 kind of storytelling skills, I think
1:33:03 you're going to be able to do a feature
1:33:04 film in a weekend or, you know, maybe
1:33:06 over a week.
1:33:08 Um, and then I think it's probably
1:33:10 another two to three years after that
1:33:13 that that an agentic system can just
1:33:16 spin up a personalized
1:33:19 worldass story. But, you know, I don't
1:33:22 know. It's all speculation. It's all
1:33:24 chat TMZ.
1:33:27 Oh, man. All right. I'm hitting a bit of
1:33:29 a wall. Let's see.
1:33:32 You're a famous professor at a
1:33:35 university who's being reviewed.
1:33:38 They don't know about you. Oh, yeah. I
1:33:41 saw that today. Who Who said that? Real
1:33:44 estate. Someone said that today.
1:33:48 Oh, it was uh it was uh
1:33:52 who the [ __ ] was it anyway?
1:34:00 Oh, yeah. Yeah, it was Palmer Palmer
1:34:02 Lucky. That's right. Yeah. Yeah. The the
1:34:03 bulletproof cheat code. That was pretty
1:34:05 good. Um
1:34:08 I can see how the real deal artist could
1:34:10 use AI to run down the rabbit hole
1:34:12 without wasting all the paint and canvas
1:34:14 and time. Yeah, exactly.
1:34:18 I mean, there's musicians right now,
1:34:20 like I think one of the one of the the
1:34:21 the
1:34:24 quickly obliterating secrets in the
1:34:26 music industry right now is I think
1:34:29 Timberland was one of the first
1:34:31 producers to really go in like he he
1:34:34 went in about a year ago. Um, and he he
1:34:37 put out a video of himself discovering
1:34:39 Suno where his associate producer put in
1:34:41 a beat of his and turned it into a song.
1:34:44 And there's a video of him where you
1:34:45 watch his face melt and he's like, "Holy
1:34:48 shit." Um,
1:34:53 I I think that there's a lot more
1:34:55 musicians leaning into this and and just
1:34:58 added a digital audio workstation inside
1:35:01 of Sunno. So, you can now you can now
1:35:04 generate a song, split it into its
1:35:06 different tracks, and then go in and
1:35:08 edit those tracks in a in a DAW where
1:35:10 you change the the volume of the
1:35:12 different tracks. You can just
1:35:14 regenerate a track. I don't like that
1:35:15 baseline. Make it funkier and it'll just
1:35:18 it'll just regenerate that that
1:35:20 baseline. So like just how you produce
1:35:24 music is shifting.
1:35:26 And you know anyone that sits on the
1:35:28 sideline is like this isn't fair. I
1:35:31 agree. I agree it's not fair. It's It's
1:35:35 not fair that you went to [ __ ]
1:35:37 Berkeley and have been grinding for 20
1:35:39 years and have finally started to make,
1:35:41 you know, $150 an hour, you know,
1:35:44 engineering other people's songs and now
1:35:46 this thing comes along. I get that it's
1:35:48 not fair. I don't disagree and
1:35:52 this [ __ ] isn't going anywhere.
1:35:54 So, you can be pissed off on the
1:35:56 sidelines or you can figure out what
1:35:58 this stuff is and become a really good
1:36:00 producer that happens to use AI tools.
1:36:03 So, it's we're we're just in wild times
1:36:05 right now.
1:36:07 Okay. So, tomorrow AI readiness project.
1:36:09 Um we're wrapping up season zero of the
1:36:12 AI readiness project. So, this is the
1:36:15 the podcast that I do with an Murphy.
1:36:18 And um season zero was us trying to
1:36:21 figure out what it was we wanted to be
1:36:23 when we grew up and what we wanted the
1:36:24 podcast to be. So, tomorrow we're going
1:36:26 to wrap that up. We're also going to
1:36:28 talk about AI festivus. AI for the rest
1:36:30 of us. So, if you don't know about it,
1:36:33 last year Ann Murphy and I with two
1:36:36 weeks notice, well, not notice, we gave
1:36:38 ourselves two weeks notice. Two weeks
1:36:40 before [laughter]
1:36:42 before we launched it, we came up with
1:36:43 this concept called AI Festivus,
1:36:47 AI for the rest of us. And we invited 35
1:36:52 speakers and 34 of them said yes.
1:36:55 [laughter]
1:36:59 And so we had 34 speakers over 20 24
1:37:03 hours. So it's it's the Friday and
1:37:06 Saturday between uh the Christmas
1:37:08 holiday or whatever you celebrate on the
1:37:11 front end and New Year's on the back
1:37:12 end. So this year it's December 26th and
1:37:16 27th.
1:37:18 It's 9:00 a.m. to 9:00 p.m. on Friday
1:37:20 and it's 9:00 a.m. to 9:00 p.m. on
1:37:22 Saturday. And what it really is is an
1:37:25 excuse for you to get away from your
1:37:27 family for 12 hours because because at
1:37:31 that point you're going to be sick of
1:37:32 them and you and you won't want to talk
1:37:35 politics and you need an excuse to get
1:37:37 away and you can say I've got some work
1:37:39 stuff to do and then you can come hang
1:37:41 out with us for 12 hours each day.
1:37:44 [laughter]
1:37:48 Um Ryan, by tracks you mean the
1:37:49 different instruments isolated? Yeah,
1:37:51 Ryan, right now go into Sunno. I think
1:37:54 you have to have a 20 buck a month
1:37:55 subscription for it, but you go into
1:37:57 Sunno and then you say open an editor
1:38:00 and then you say split it into tracks
1:38:01 and it splits it into 12 tracks or up to
1:38:04 12. And yeah, you've got your baseline,
1:38:07 you've got your harmonies, you've got
1:38:08 your lead vocals, your lead guitar, your
1:38:10 pianos, your drums. They're all in
1:38:12 separate tracks. It's amazing.
1:38:15 Oh man. Um,
1:38:20 all right. I'm getting out of here. So,
1:38:21 anyway, so Festivus, um,
1:38:24 we're doing it again this year. Um, last
1:38:27 year we had 3,500 people sign up. This
1:38:32 is with two weeks notice.
1:38:34 We got we got a couple of influencers
1:38:36 that adopted us and it it really helped
1:38:38 our numbers. We had 3,500 people sign
1:38:40 up. We had 2500 people show up.
1:38:44 We averaged a concurrent 560 people per
1:38:49 hour for 24 sustained hours and it was
1:38:53 it was so popular that at the end of 24
1:38:56 hours people are like can we hang out
1:38:58 together? [laughter] Like can we keep
1:39:00 going? So so this year we're going to
1:39:03 have an afterparty. There's going to be
1:39:04 official afterparty. So, if you're
1:39:06 [ __ ] nuts and [laughter]
1:39:08 24 hours over two days wasn't enough,
1:39:11 you can hang out with the other weirdos.
1:39:13 [snorts] Um, yeah. Who's the hold out?
1:39:15 Actually, the hold out was someone that
1:39:17 that um actually wanted to speak. They
1:39:19 just literally couldn't. They were
1:39:20 traveling uh they were traveling those
1:39:22 days or something like that. Um, so
1:39:25 [clears throat]
1:39:27 if you go to aifestivist.com,
1:39:30 um, you'll see last year's website and
1:39:33 who spoke last year and what it was all
1:39:34 about. And we're working on the new one
1:39:37 right now. Um, and yesterday,
1:39:40 was it yesterday? Yeah, yesterday was 60
1:39:43 days until Festivus. Today's Today's Day
1:39:46 59. We're 59 days out from Festivus. Um,
1:39:50 so just mark it in your calendar and
1:39:52 just tell your family that Friday and
1:39:54 Saturday you can't go to the movies with
1:39:55 them. You have work to do [laughter]
1:39:57 and then come hang out with us and learn
1:39:59 a ton. Like what's amazing about what it
1:40:03 was last year is all of these people
1:40:05 that agreed to speak
1:40:08 showed up in this kind of generous
1:40:14 I I don't know this this really
1:40:15 remarkable way. they just showed up
1:40:17 like, "Yep, what do you I'll talk about
1:40:19 anything." And [laughter] so we just
1:40:22 said, "Talk about what you want." And
1:40:23 and you know, we kind of curated the
1:40:25 order and who spoke when and what what
1:40:27 they talked about. But it was it was
1:40:29 really a remarkable couple of days. So,
1:40:33 we're hoping to better that this year.
1:40:35 So, there you go. That's that. Okay.
1:40:38 Yeah. We need a new Festivist advent
1:40:40 calendar. We definitely do. That's what
1:40:41 we were thinking about. Um UGC and these
1:40:44 crazy watercolor gurus. Yeah,
1:40:48 they all use Photoshop. Go figure. Well,
1:40:52 you know, I you know when I use
1:40:54 Photoshop, Corey is when when I'm like
1:40:57 like AI just keeps [ __ ] up the images
1:41:00 or it like it won't make them wide or
1:41:02 like it won't change the aspect ratio or
1:41:05 it changes the aspect ratio and makes
1:41:06 the character really small like all that
1:41:08 stupid [ __ ] it does. And then I just I'm
1:41:10 like, "Oh god." and I'll take four
1:41:12 different images and sort of crudely
1:41:15 photoshop them together and just make an
1:41:17 amalgamation that's just horrible. Then
1:41:20 I throw that back in AI and I say fix
1:41:22 this and it does. So I use I use
1:41:26 Photoshop as a as an AI band-aid.
1:41:29 [laughter]
1:41:33 All right. Um I'm out of here. So
1:41:35 tomorrow's Wednesday. Um,
1:41:38 I really want you to start thinking and
1:41:40 I know like I know all day yesterday,
1:41:42 all day today it's about this practice,
1:41:44 this practice. I'm going to keep
1:41:45 hammering on this. I want you to start
1:41:47 thinking about
1:41:49 you show up here night after night
1:41:52 what what is the stuff you're you're
1:41:54 going to intentionally start doing.
1:41:56 You're going to intentionally start
1:41:57 working on how how are you going to
1:41:59 intentionally
1:42:01 start elevating your game, focusing your
1:42:03 game? This is all about you. It's not
1:42:07 about the tools. The tools are there to
1:42:09 serve you. Like think of the tools,
1:42:11 think of AI tools as behind you and
1:42:13 below you, sort of pushing you and
1:42:16 amplifying you forward. What do you want
1:42:19 to do if you have this jetpack on?
1:42:22 That's where I want to start taking this
1:42:23 channel because I think ultimately
1:42:26 that's the [ __ ] that's interesting. Like
1:42:27 the the Dr. J thing tonight. [laughter]
1:42:31 I took the poems of a 90 90 yearear-old
1:42:34 Armenian poet and turned them into songs
1:42:37 so I could share them with him. Holy
1:42:39 [ __ ] that's amazing.
1:42:41 Like, let's talk more about that than we
1:42:43 talk about Sam Alman and his fancy new
1:42:46 algorithm.
1:42:48 I love the I love a Jetack 007. Exactly.
1:42:51 Exactly. All right, everybody. Um,
1:42:54 thanks thanks as always for hanging out
1:42:55 and I hope you had a good time tonight.
1:42:57 Peace out. Bye.