5/27/2025 - The Way of Code: Rick Rubin's Vibe Coding and AI's Creative Renaissance

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0:00 strings, right? You know, I can't tune
0:02 in the strings. You know, I can't You
0:05 know, I can't You know, I can't tune the
0:06 strings, right?
0:09 [Music]
0:18 [Music]
0:32 [Music]
0:41 Is this place I can rest my
0:47 forehead? Gather my thoughts in sweet
0:50 silence.
0:51 [Music]
0:54 The bus is place where the feelings are
0:58 [Music]
1:00 dead from an overexposure to
1:04 violence. It is this place I can slowly
1:08 face. The only one I truly can
1:13 know. These are tears from a long time
1:17 ago. Got these tears from a long time
1:20 ago. I need to cry 30 years
1:25 ago. These are tears from a long
1:30 time ago.
1:34 [Music]
1:38 Well, oh darling, oh darling, you say
1:41 unto
1:45 me, where have you been all my life?
1:50 [Music]
2:10 Good evening, good people. I'm back from
2:12 New York City.
2:15 I caught some sort of awful croo
2:18 horrific thing, but I think I vitamin C
2:21 the [ __ ] out of it. So,
2:24 [Laughter]
2:27 cheers. Do me a favor, share the live.
2:30 Let's get word out that this thing's
2:32 happening. So much so much is happening.
2:35 Such good
2:39 times.
2:42 [Music]
3:02 Wow. Woohoo.
3:07 [Music]
3:21 [Applause]
3:24 [Music]
3:32 Woohoo!
3:35 Woohoo! Hallelujah.
3:38 [Music]
4:03 [Music]
4:08 in a westerly
4:10 [Music]
4:13 direction. Car is my
4:16 train. I've been driving. I've been
4:19 [Music]
4:21 wondering what it is I'm running from
4:24 again.
4:26 Feel like an it old
4:29 man holding on to
4:33 29. And up on that
4:36 [Music]
4:38 horizon is California
4:43 [Music]
4:49 line. See trucks carrying a wide load.
4:53 Prefab house cut in
4:57 half. Cute little front door and two
4:59 windows. My
5:01 love ain't sure whether to cry should
5:05 laugh. You see I broke a home up myself
5:09 once. And as I stumbled to that
5:14 door, I knocked by the dogs
5:18 lie. Said, "Don't you come around
5:21 [Music]
5:23 here
5:25 [Music]
5:27 anymore." Well, I've had
5:31 enough of this freedom on the
5:34 rock that was good with
5:38 decision. At least that's what I've been
5:42 [Music]
5:49 told. Oh man. Hope you all had a
5:53 fantastic Memorial Day weekend. It was a
5:56 little cold and shitty here in Denver
5:57 and I was sick anyway, so I spent most
5:59 of the time inside. I don't even think I
6:01 had a wiener.
6:04 [Music]
6:18 I'm as good as Eddie Van
6:20 Halen. Champion understands the
6:22 assignment. Champion just walked
6:23 [Laughter]
6:29 away. Most people are on tick tock. Tick
6:32 tock. Tick tock.
6:35 Flip over to the to the real camera. Get
6:40 that down on my fantastically sculpted
6:45 hair. This is I don't know if you've
6:47 seen there's a new UV printer out that
6:50 uh I saw a couple of demos of and it's
6:54 really
6:55 cool. It's like an inkjet printer, but
6:58 it can print dimensionally. It can build
7:00 up layers and print textures and things
7:04 like that. pretty flipping
7:06 slick. What's up, Wolf Man Clint? What's
7:09 going
7:10 down? You have amazing hair, bro. Thank
7:13 you. Thank you. Feels like there needs
7:16 to be a champion cam. There really does
7:18 need to be a champion cam. In fact, why
7:20 the [ __ ] the camera's on me is the
7:23 biggest mystery of this channel.
7:26 [Music]
7:38 Did you
7:40 moose? I don't know what mooseing is.
7:43 Oh, did I moose here? No, it's uh it's a
7:46 I bought it in Czechoslovakia or the
7:48 Czech Republic. I bought it in Prague.
7:51 It's
7:53 called bullfrog, I think. I don't know.
7:56 It's just It's like mud. It's like wax
7:59 or mud or something. You just put a
8:01 little in and it just makes your hair
8:03 not move, which is cool.
8:08 Um I don't I am not a product guy. When
8:12 I find one that works, I just keep
8:13 buying
8:16 it. Oh man. Um so so much going on. So
8:22 so so
8:23 so much. Um couple of things I want to
8:28 talk about
8:30 tonight. One of them is Rick Aruben.
8:34 Let's see. Um about days four time with
8:38 for four days without the AI learning
8:40 lab is way too long. Thank you
8:43 architect. I appreciate that. Um it's
8:46 good to be back. Um it was it was nice
8:48 to get a break. Although like I said I
8:49 was sleeping most of the time because
8:51 because I was sick, you know.
8:55 So, I've spared you the uh spared you
8:57 the coughing and the like I got a sore
8:59 throat. I'm whiny. I'm a very bad sick
9:02 person. When I get sick, I'm like, I
9:05 deserve a
9:06 medal. Everyone should wait on
9:09 me. It's not good.
9:13 [Music]
9:51 [Applause]
9:54 Okay.
9:55 [Music]
10:20 Oh lord. Okay.
10:26 So, so a couple of things. Okay, here's
10:29 a I had a good talk
10:32 today with someone named Doc Williams. I
10:35 think Doc
10:37 Williams.
10:39 Um he's one of the lovable um he's in
10:42 the
10:43 lovable, you know, uh what is it called?
10:47 Ambassadors program, whatever. The the
10:49 thing I'm in. Um, and he reached out to
10:52 me. He just wanted to talk. And we were
10:54 talking today about he's got a YouTube
10:56 channel. Um, and he he's he talks about
11:01 a lot of different stuff. One of the
11:02 things he talks about is tools. And we
11:04 were talking about tools and like tool
11:06 channels that that really go all in on
11:08 tools. Like Matt Farmer and Riley Brown
11:11 are like they go all in on the tools. I
11:13 would argue Riley Brown lately has has
11:15 been doing a bit more use case kind of
11:17 stuff, but it's still fairly tool heavy.
11:22 Um, and the more we talked, the the more
11:26 I'm feeling
11:28 like the tools are not important.
11:33 And and that's a it's a it's a really
11:36 shitty thing to say if you're like brand
11:39 new to AI and you're like, "But what
11:40 tools should I use?"
11:42 But the fact of the matter
11:44 is almost all of the tools are all good
11:48 enough that it doesn't matter which one
11:51 you pick. Like like we've absolutely
11:53 gotten there. Doc is also in the salon.
11:55 Yeah, he just joined today. Yeah. And
11:57 Vicki is also a lovable ambassador.
11:59 Yeah, he joined today. Um yeah, he he he
12:03 actually joined the salon while we were
12:04 talking. I said, "You should go join."
12:05 And he
12:06 did. Been saying that for years. Welcome
12:08 to the club. Yeah, exactly.
12:12 Um, and I had a good example. I I had a
12:15 I had a thing happen to me
12:18 [Laughter]
12:20 [Music]
12:22 today. Okay. So, so here's the thing.
12:24 And I listen, I fall into this trap. I
12:26 try not to, but it's easy to fall into
12:28 the
12:29 trap. It's easy to fall into the trap of
12:33 here's this cool tool. Let me go play
12:35 with the tool and then let me sit here
12:38 and try to think about use cases that I
12:41 need to do with that tool. Right? And I
12:45 feel like I'm that way with Manis. I
12:47 feel like I'm that way with Flowith,
12:48 which is like Manis, with GenSpark. I
12:51 feel like I'm that way with uh 03, the
12:54 reasoning the reasoning engine. Um I
12:57 feel like I'm that way with lovable.
13:00 There are some very powerful tools out
13:03 there that if you sit in front of them,
13:06 you get what in writing they call blank
13:08 page syndrome because you can do
13:10 anything. You can do nothing. You're
13:12 paralyzed,
13:14 right? And so I've been like that with
13:16 with some of the tools. And and so in
13:20 talking with Doc, I was like, "Oh yeah,
13:22 it's like this is fairly obvious stuff."
13:25 Like I knew this from worldwide web
13:28 days. You've got to start with the use
13:30 case. You've got to start with what
13:32 problem you're trying to solve. And then
13:33 you figure out which tools you're going
13:34 to use. Matt Farmer said he'd like to be
13:37 your opening act one hour before your
13:39 lives every night. Oh, he did. You know,
13:42 it's funny. I was going to reach out to
13:43 him and congratulate him because he's
13:45 starting to go live. But we should
13:47 definitely do that. I'll uh I'll connect
13:50 with
13:51 him. If you're are you in contact with
13:54 him, Todd? Teton. Teton. Todd. Todd,
13:58 listen. Todd. Todd. Todd. Yes. Todd.
14:03 What? Champ. Champ. Do we?
14:07 Seriously. Serious. Seriously, champ.
14:11 You know we're live,
14:13 right? Good
14:18 lord. You aren't alone, Kyle. I'm paying
14:20 for all this crap. I have no ideas for
14:23 for use cases. I know. I know. I know.
14:28 But, okay, listen. It's not a bad
14:32 thing. It's not a bad thing to learn the
14:34 tools, right? It's not a bad thing to
14:37 just play and just throw throw [ __ ] [ __ ]
14:40 at them.
14:43 Um, what's challenging on a channel like
14:46 this is, and I've I've I've demonstrated
14:49 this, I've proven this multiple times,
14:52 is that the minute I start trying to do
14:54 real something on this channel, it gets
14:57 really boring really fast. Like, I built
15:00 an app today. I'm gonna I'm going to
15:01 show you an app that I built in Lovable.
15:03 And I'm and it and I came to it through
15:06 a problem. I had a problem and I had a
15:10 oh maybe I could solve it in a
15:13 interesting way and I did but there was
15:16 like a two-hour chunk in the middle
15:18 where it was literally like nah that
15:21 didn't work. Nah, that didn't work. Try
15:23 it this way. Try it the Oh, now I got to
15:25 get the [ __ ] super basease working.
15:27 Now it's not It emails me, but the email
15:31 goes to localhost. You got to fix that.
15:34 How do you fix that? It was two hours of
15:36 just [ __ ] So, you can't do that here,
15:40 right? So, I I need to figure out
15:45 the the art of like if you're just
15:48 demoing tools, you can do [ __ ] all and
15:52 it's fine because you're not really
15:54 comparing it to anything. When you're
15:56 trying to do real [ __ ] that's boring as
15:58 [ __ ] So, somewhere in the middle is is
16:00 what we need to do. Tik Tok pin.
16:02 Apparently, we had an irregulars
16:04 takeover of his live since you were off
16:06 on
16:11 Friday. That's [ __ ] awesome. Good.
16:14 Well, he came I think didn't he come on
16:16 he came on the live one night and I
16:18 think I went on went on his podcast once
16:21 or or his show once. I think I live
16:25 lived into his I don't know. Um, but
16:27 anyway, it it would be good to to
16:29 reconnect with him and yeah, if we can
16:31 do some sort of symbiotic live thing. I
16:34 like that new Tik Tok pen. Never ignore
16:36 a dog bark. Learned that from the
16:42 movies. Exactly. Go over the dog's got
16:45 like a fork in his
16:48 eye. The bark was coming from inside the
16:51 house.
16:54 Um, but yeah,
17:01 but we're we're in a transition where
17:03 the tools don't
17:05 matter. Kavuno, who is Matt Matt Farmer?
17:08 Matt's a guy, he's got a Tik Tok
17:09 channel. He's he's a dude that he's got
17:14 his format is he's at the bottom and and
17:16 like the tool is at the top and and he's
17:19 usually got some sort of dramatic kind
17:22 of kind of clickbay kind of thing like
17:24 you know is this the end for the film?
17:27 You know is is Hollywood doomed? And
17:29 then he'll show some stupid [ __ ]
17:31 video tool that makes it clear that
17:33 Hollywood's not doomed. Although with
17:35 V3, uh, some of the writing is on on the
17:38 wall with that one. Um, so, so he he
17:42 tends to do like here's this cool new
17:44 tool and he shows it and sometimes he
17:46 eats popcorn while he's watching it. Um,
17:48 and then in the past, I don't know,
17:50 three weeks or so, he started going
17:51 live. So, yeah, that that would be an
17:53 interesting thing if we could sort of um
17:56 team up team up our our audiences and
18:00 share
18:01 them.
18:11 Um, source camp's coming up on deck. Oh,
18:15 to
18:19 speak. Oh, cool. Great. Love it.
18:23 Um, the the other thing. So, I want to
18:26 show you the thing I built. I want to
18:27 talk about how I built it, why I built
18:29 it, and and how it kind of reinforced
18:31 what happened in the in the conversation
18:33 with Doc
18:35 um
18:38 about, you know, it's funny. I talked
18:40 about this a year ago.
18:43 There was a post about nonprofits
18:46 someone did on X a post on X or LinkedIn
18:49 about nonprofits should
18:52 be it was when it was when 01 came out.
18:56 When 01 came
18:58 out someone posted that nonprofits and
19:02 organizations should be warehousing hard
19:05 problems. They should basically be
19:08 figuring out hard problems and just
19:10 start to make a database of hard
19:11 problems. Um because as these tools get
19:15 better, you're we're we're we're going
19:17 to literally be able to take a pile of
19:20 hard problems and just go solve
19:23 them. So I think I think we're we're at
19:27 a cusp where the tools are getting good
19:30 enough that I think I Yeah, I don't
19:33 know. I don't know what this means for
19:35 the channel, but that's just where my
19:36 head is right now.
19:39 Hey guys, producer Brandon. So, I I I
19:42 don't know what it means for the
19:43 channel, but I I do I and I don't know
19:45 what it means for small and mid-size
19:47 businesses, but Source Camp does. And
19:51 she I I this is this is my doing. Um I
19:54 kind of pulled her out of the Tik Tok uh
19:56 comments because she's got uh she's got
19:59 an event coming up, the digital event
20:01 coming up tomorrow and I I come hawk it.
20:06 We might bring her up on stage and she
20:08 could tell you guys all about it. Love
20:09 it. Let's do it. Kelly Camp, hello.
20:13 What's happening? Was shaking. Oh, it's
20:16 been a day. I know. I know. I had a I
20:19 had a day. We We uh we have successfully
20:22 now sold in video avatars to a bunch of
20:24 our pharma clients, which is awesome.
20:26 Except I'm the only one in the company
20:28 that knows how to make them. So, that's
20:30 not good. And it's like all the
20:32 technology keeps changing and like this
20:34 tool does that well and this one does
20:36 that well. And so I I I had a day of
20:38 like, you know, trying to dejankify the
20:41 janky. Yesesh. Yeah. So So what's
20:45 happening with you? Tell me what's going
20:47 on. Well, I started my day with jury
20:49 duty. So that's always Yeah, that's a
20:52 joy. Um but I judge. Yeah, I actually
20:57 got out of it. Of course they go around,
20:58 they say, "What do you do?" And I said,
21:00 "I've got an AI agency." And that, you
21:02 know, turned every head.
21:05 That's awesome. And they said, "Will
21:07 this trial go through tomorrow? Does
21:08 anybody have a conflict tomorrow?" And I
21:10 said, "Yes, I'm a keynote speaker
21:12 tomorrow." And they said, "What are you
21:13 gonna talk about?" And I said, "Just
21:16 AI."
21:19 So, I may have picked up three new
21:21 clients while I was at jury duty.
21:25 That's
21:26 awesome. That's awesome. I was on the
21:29 flight. Was it there or home? I think I
21:32 was on the flight home.
21:34 Yeah, I was on the flight home. I was
21:37 sitting next to someone who who made the
21:39 mistake of asking me what I did. Yeah.
21:42 And three hours later, she she was like,
21:45 "You're passionate about this AI stuff."
21:49 The door.
21:52 [Laughter]
21:56 Oh my god, it's so funny. So, what's the
21:59 thing tomorrow? What's the keynote?
22:00 Well, so I'm speaking to this group um
22:05 that is a group of executives um kind of
22:08 across the board all over the place. I
22:10 don't even know how many people because
22:12 at first it was supposed to be just to
22:13 our private group and she said, you
22:15 know, if you don't mind, I'd like to
22:17 open this thing up. So, she's been
22:18 blasting it on LinkedIn. Oh, wow. And I
22:22 have no idea how many people are going
22:23 to show up. Um, and it is open to just
22:26 about anybody. So, I don't have the
22:28 contact information in front of me or
22:30 the link in front of me, but if you guys
22:31 want to go on LinkedIn and join us
22:33 tomorrow, knock yourselves out. All
22:35 right, that's fantastic. Um, yeah. So,
22:38 so Kelly, what's your what's your uh
22:42 handle on LinkedIn? Is it Kelly?
22:44 SourceCamp. Source Camp at SourceCamp on
22:48 LinkedIn. Sorry. Yeah, on LinkedIn.
22:50 Yeah, it's Kelly Camp. Just Kelly Camp.
22:51 Kelly Camp. Yeah, but it's not it's not
22:53 normal. Kelly, she's got to be special.
22:56 Nothing's normal. It's Kelly the Ye and
22:59 camp with a K. Yeah. K E L L
23:04 Ye K A M P. Right. Correct. Yes. Okay.
23:09 So, go there, find the event. That's
23:11 cool. All right. So, so your price of
23:13 admission, tell me a tell me a good
23:14 story from the past week. Oh gosh. Um I
23:18 just wanna Sorry, Kelly. I just want to
23:20 share that we've put the um title of the
23:23 speech as well as a link to the LinkedIn
23:25 registration page on YouTube for anybody
23:27 who who's following along. Great. Great.
23:30 Thank you. Uh yes. So I'm actually
23:33 tomorrow I'm actually going to speak
23:35 mostly about the mind shift that has to
23:37 happen rather than the tools themselves.
23:40 Yeah. The more I'm doing this, the more
23:42 I'm seeing that that's like you just
23:44 said, it's really not about the tools so
23:46 much. Um, but it really is about
23:49 shifting our mindsets to
23:53 um just the way we're searching for
23:55 things, the way we're using the tools.
23:58 Um, kind of problem solving. Yeah. Yeah.
24:00 Diving deeper. And right now, I think
24:03 everyone's probably about a year behind
24:04 this group. Yeah. Generally speaking,
24:07 and they're just having fun typing any
24:10 kind of garbage in and getting something
24:11 out. Yeah. Yeah. I mean they have the
24:14 benefit of you know the the tools are
24:16 two years more sophisticated than when
24:18 we started. Right. So right the stuff
24:20 they're getting out's definitely better.
24:23 So yeah but I am starting to see this
24:26 wave of people saying oh yes now that
24:28 I've been playing with it for a while
24:30 I'm realizing I really don't know how to
24:32 use it. Yeah. And they don't know how to
24:35 ask a better question or how to dive
24:37 deeper or how to really leverage this
24:40 technology. Yeah. So, I think it's going
24:42 to get really exciting over the next six
24:44 months. Yeah, I do, too. Well, we we uh
24:48 the content evolution collab group that
24:50 I run, it's, you know, it's like six or
24:51 eight people that meet every Friday. Um
24:54 and and we've sort of prepackaged that
24:57 group to be able to replicate it in
24:59 companies because it's like I feel like
25:01 there's there's a couple of kinds of
25:03 companies. One is just ignoring it or,
25:05 you know, banning it. One is is like
25:07 here's a bunch of licenses, just go deal
25:10 with it.
25:11 And then and then one is here's your
25:13 tools and we're going to give some
25:14 training. But the training tends to be
25:16 like, you know, we'll give you, you
25:19 know, a 4-hour course with Kelly and you
25:21 go learn this stuff and then you're on
25:22 your own. And and the thing the thing
25:24 the thing that we've discovered in this
25:26 group, in the salon, and in
25:28 collab groups working together with, you
25:32 know, different points of view and
25:33 different levels of expertise where some
25:35 people might be subject matter experts,
25:37 some people are more geeky. that that
25:40 collaboration I think is a a big part of
25:42 the the way companies will succeed.
25:45 Small little pods, right? You know. Yes.
25:49 And I'm sure you would agree that there
25:51 and probably most people are seeing it
25:52 too. There's a real surge in interest
25:54 now. Like it's not people aren't just
25:57 toying around with it anymore. They're
25:58 really starting to get serious about it
26:00 and wanting to really learn it, I think.
26:04 Yeah. Um or maybe they're almost on the
26:06 cusp of wanting to really learn it
26:08 rather than just, you know, doing a
26:10 pretty picture and being silly with it.
26:13 Yeah. Yeah. And I think you're also like
26:16 some of the some of the meme things that
26:18 are happening where you had like the
26:20 week of babies doing podcasts and now
26:23 we've got the week of BO3 man on the
26:26 street interviews. You know, what do you
26:28 mean we're just prompted? Like those
26:30 things in a weird way are kind of PR for
26:33 AI in general that it must be easy
26:35 enough that a lot of people are making
26:37 this stuff, you know. Right. Right.
26:40 Yeah. I think it's super exciting. I
26:42 love that the world is finally catching
26:44 up. And just on a personal note, um I
26:47 just looked at my calendar and I have
26:49 nine appointments in the next three
26:52 days. Wow.
26:55 Wow. That's awesome. Including this
26:58 two-hour speaking gig tomorrow. So, let
27:00 me ask you, are people starting to write
27:01 checks? Are you are you starting to
27:03 write contracts? Yes. Good. Okay. Good.
27:06 I am good. I remember about this time or
27:08 a little earlier a year ago, you were
27:10 like,
27:11 h I've been at this for a year and what
27:14 is going on? Would someone write a
27:16 check, please? Right. Yeah, it it was a
27:19 little painful, but businesses
27:20 specifically. So what I'm doing for
27:22 those of you who don't know I'm pretty
27:24 much my main gig is writing GPTs for
27:29 businesses. So whether that's automation
27:32 or uh reviewing contracts or just
27:36 simplifying processes or just being a
27:38 datab bank. Um I mean I'm using them for
27:41 everything across the board. But
27:44 businesses are now starting to realize
27:45 that I really do need this and it's
27:48 probably not that hard, but I don't have
27:49 the bandwidth to go out and try to
27:51 figure out how to do it. Um, so they're
27:54 just hiring me to do it for them, which
27:55 is fine with me. So cool. Yeah. So cool.
27:59 All right. Well, thanks for coming up.
28:01 It's happening. It's finally happening,
28:03 Kyle. It's very cool. It's very, very
28:07 cool. Yeah. Well, thanks for having me
28:10 up. All right. See you later.
28:13 Um, Kelly Camp. Kelly Camp in the house.
28:17 Um, let's see. This is Okay, that's
28:20 that. I got that there. All right. So,
28:23 let me let me share my
28:28 [Music]
28:36 screen. All right. Alrighty. So, this is
28:41 if you don't know who Rick Rubin is, um,
28:45 I talk him about I talk about him a lot
28:47 in the past year. I wrote an article
28:50 about finding finding
28:53 your finding the Rick Rubins in your
28:56 company. Um, I talk a lot about I think
28:59 our job in the future is going to
29:01 effectively be like a Rick Rubin. Um,
29:05 and you know, it's funny. He in the past
29:08 three or four months on his Twitter
29:11 channel, he's been posting a lot of
29:13 things about code and vibe coding and
29:17 but I I've never heard any interviews
29:18 where he's been talking about it. So, I
29:20 wasn't quite sure if it was actually his
29:23 account, but it had the blue check mark
29:25 and you can buy the blue check mark. So,
29:27 I I still didn't quite know. And then he
29:29 came out with this. So, so this was put
29:31 out uh as a as a partnership, a
29:35 collaboration with
29:38 Anthropic U. It's the way of code and
29:40 it's based on the LSU um adapted by Rick
29:43 Rubin and it's it's it's a book about
29:46 coding. It's about vibe
29:48 coding. And so what I've been talking
29:51 about for for a while now is
29:54 that that role of being able to sit
29:58 above the project, right? To be able to
30:01 sit above the
30:03 tactics of all the little execution [ __ ]
30:06 that happens down below. Not to diminish
30:09 it, but like the execution stuff is the
30:12 stuff that's getting automated.
30:15 The stuff that still
30:17 requires
30:19 humans is the taste making is the
30:22 curation is the idea is the is the is
30:26 the person that sits there and goes
30:29 that's not good enough. You know Steve
30:30 Jobs famous for just you know someone
30:33 showing something and within 5 seconds
30:35 it'd be like no that's [ __ ] get it out
30:38 of here. Don't come back until you have
30:40 something.
30:42 Um, Benny Blanco, who's a musician. I
30:45 just he just did a a track with, was it
30:47 with Ed Sheeran? I think it was Ed
30:49 Sheeran and Benny
30:51 Blanco.
30:53 And Rick Rubin was producing the song.
30:57 And, you know, he came in and he said,
30:59 "Ah, makes me feel orange." And he
31:02 walked out.
31:06 It is the
31:08 single-handedly worst piece of criticism
31:11 in the history of music. And
31:13 yet Benny Blanco and and his
31:16 collaborator spent the next six hours
31:19 fixing the song so it sat so it made you
31:21 feel less
31:23 orange and it got better. So, so you
31:27 know, mysterious ways of of, you know,
31:30 of taste makers and and someone
31:32 particularly like him who loves to live
31:35 up in the stratosphere of of idea and of
31:38 taste and of of creative point of view.
31:42 And so, so he wrote this book. Um, it's
31:46 on, as far as I can tell, it's online
31:49 only. Um, and it's quite exciting. I'm
31:52 going to I'm going to show you some
31:53 pieces of it and I'll tell you why it's
31:55 exciting. This site feels very very much
32:01 like the early days of Urban Desires.
32:04 So, back in the mid 90s in in 1994, I
32:07 started an online magazine called Urban
32:09 Desires. And one of the things that we
32:11 did was we
32:12 explored all of the different ways you
32:15 could use
32:16 interactivity in the exploration of
32:19 content and art. and you know
32:21 interaction design and how do you
32:24 display you know an 8-ft tall painting
32:26 in a way that it you know has some sort
32:28 of life to it in this small little
32:30 digital screen.
32:32 And from you know kind of 1995 to 1998
32:36 or
32:37 n there was this real renaissance
32:41 of creative exploration of websites. And
32:46 then when the bubble burst and people
32:49 were like, "Wow, we got to, you know, we
32:50 got to cut back and we can't innovate
32:52 and the web's not about innovation. It's
32:54 about efficiency and let's lock
32:56 everything down and systematize
32:58 everything and come up with ad standards
33:00 and page standards and publishing
33:01 standards and interaction standards and
33:04 login standards." Everything got
33:06 standardized, which is why the web all
33:08 looks the [ __ ]
33:12 same. And it's [ __ ] horrible.
33:15 And so this is the first site that I've
33:17 seen and it's the wayofcode.com if you
33:21 haven't found that
33:22 yet. This site
33:26 feels like that kind of mid9s
33:28 exploration and that feels really
33:30 exciting to me because AI we we're
33:34 entering a very similar era with AI
33:38 except AI can do so much more. So it's
33:41 [ __ ] insane. So, it's, you know, it's
33:44 going to completely reinvent what the
33:45 web is, and it's going to invent what
33:47 storytelling is, and it's going to
33:48 invent what business is, and what math
33:51 is, and what science is. All that sort
33:53 of stuff is going to get
33:56 recombobulated. So, so anyway, so let's
33:59 jump into this.
34:00 Um, where's my little mousy? There it
34:03 is.
34:06 Each encounter I've had with La Su has
34:09 pointed me to something new. Almost as
34:11 if the book changes with every reading.
34:13 I first picked up Steven Mitchell's
34:15 translation 40 years ago at a Body Tree
34:19 store in Los Angeles. My life has never
34:21 been quite the same. Rick
34:23 Rman.
34:25 Um, let me jump in here. How do I get to
34:29 page one? Oh, here it is. It's over on
34:30 the left. Um, okay. So if you start
34:36 scrolling down the left hand part of the
34:39 page, you'll see all these numbers and
34:41 each number each number is a
34:45 page. And then each
34:48 page has an interactive piece of art
34:52 that Rick Rubin vibe coded. So he
34:55 basically took the
34:57 content of this
35:00 work, transmogrified it into code
35:04 relevant, you know, probably had chat
35:07 GBT interpret it, right? And then and
35:10 then curated
35:12 it. The code that can be name wait the
35:15 code that can be named is not the
35:17 eternal code. The function that can be
35:20 defined is not the limitless function.
35:23 The nameless is the origin of heaven and
35:26 earth. The named is the mother of 10,000
35:29 things. Free from desire, you see
35:33 essence unformed. Cotton caught in
35:35 desire, you only see the manifestations.
35:38 These two spring from the same source,
35:40 but differ in name only. This model is
35:43 the mystery, the gateway to all
35:45 understanding. And then there's this
35:47 cool animated graphical [ __ ] piece of
35:51 art over here.
35:53 And then you go to the next one and
35:54 there's another piece of art. And then
35:56 you go to the next one and there's
35:57 another piece of art. Now, the thing
36:01 that is baller about this project is
36:05 that every one of these pieces of art
36:07 has this little button that says
36:11 modify. So, you get to
36:14 remix the artwork that he created. So,
36:17 this one right here that we're looking
36:19 at, I've actually remixed this one.
36:25 All right, hang on. I gotta do something
36:26 here. Ah, that's going to hurt
36:28 everyone's ears. That's okay. Screw
36:34 y'all.
36:35 Um, so if you if you click on modify, it
36:39 jumps you over to Claude. It's a little
36:41 jarring because you don't they didn't
36:43 put any sort of interstitial inter
36:45 interstitial. Yeah, I don't know screen
36:48 in between that says what's happening.
36:49 They just jump you over to Claude, but
36:52 then you can just say to Claude like
36:54 modify this art in some way. So I asked
36:57 it to turn this into a
36:59 synthesizer. And so this piece of
37:03 [Music]
37:04 [Applause]
37:06 [Music]
37:10 artwork
37:11 [Music]
37:18 Headphone
37:20 warning. Exactly. Um, so I won't play it
37:23 anymore, but but this is now so it's got
37:25 color in it and it's got music in it.
37:27 And so I can now publish
37:31 [Music]
37:37 this. I can publish
37:39 it. Publish and copy
37:43 link. All right, it's publish link
37:46 copied. And then I think there's a way.
37:49 Ah, I think there's a
37:53 way. Let's see. What's it say
37:59 here? Here's the first iteration. Yeah.
38:02 Okay. Here's the first iteration of your
38:04 artifact. Keep experimenting and have
38:06 fun. If you'd like to have your artifact
38:09 published in the way of code online
38:12 gallery in the future, please fill out
38:14 this
38:16 form. So, I talked in this channel about
38:19 a month
38:20 ago
38:21 about one of the things that chatbt in a
38:25 conversation I was having with it
38:26 predicted was the death of
38:29 copyright and kind of the birth of
38:31 co-creation where you have artists and
38:33 fans collaborating together. That's what
38:36 this project is. You wouldn't know it on
38:39 the surface. Just if you just looked at
38:41 the poems and seeed the art, you know,
38:43 you'd be like whatever. Even if you
38:44 clicked the modify button, you might not
38:47 quite get it. But they've coded this in
38:49 such a way that once you remix it, it
38:52 tells you, hey, do you want to be part
38:53 of this project? Click here and fill out
38:55 the form. So, I'm going to go do that.
39:00 Oh, and you can't see it because I don't
39:02 have the right screen sharing going on
39:04 because I'm a
39:09 [Music]
39:17 loser. Where's my other glasses? H I
39:21 don't know. Tik Tok pin. Tik Tok
39:24 pin. Seven dogs just showed up in my
39:27 house. I know that that listen I didn't
39:30 say my music thing was a good thing I
39:33 just said it's a remix. All right so the
39:36 way of code Kyle Shannon story mine
39:38 switch
39:39 account collaboration between Rick Rubin
39:41 and anthropic. If you'd like the
39:43 opportunity to have your artifact
39:45 published please submit it using this
39:54 form. Okay. So, let's see your published
39:58 artifact. Bang. There it
40:01 is. Okay. For attribution, what's your
40:05 handle? Kyle Shannon. Hey,
40:09 K. What's your email address? Here you
40:12 go.
40:13 Optional. Would you like to mention
40:15 anything else?
40:17 Um, I've been
40:22 encouraging people
40:26 to find their Rick
40:32 Rubin's within their
40:38 companies since I think the
40:42 act of curation and taste
40:49 making
40:51 will be a core skill of the
40:57 future. Be like Rick.
41:02 All right, there we go. Don't submit
41:07 where uh for attribution you can put
41:10 your handle so we can they can tag you
41:12 and people people can find you. Uh, I
41:15 see. Very nice. Thank you, producer
41:18 Brandon keeping me honest. I like it.
41:20 Solid. All right, here we go. Submit.
41:23 So, how many people are here? We got 48
41:26 people here, 36 people
41:28 there. About 40 people. Go here, remix
41:34 some
41:35 [ __ ] like modify the [ __ ] out of it,
41:38 and then publish it. Let's Let's get a
41:40 bunch of entries into this thing.
41:43 It's cool, isn't
41:44 it? Where um the
41:50 wayofcode.com the
41:53 wayofcode.com and just scroll down and
41:55 just start looking at his his his works
41:57 of art are really cool. Just pick one
42:03 and you click on the modify
42:12 button. Uh Ann Murphy in the house. A
42:16 Murphy, did you play with my little Did
42:18 you play with my little
42:20 uh add to-do list
42:25 maker is free? Yes, this is free.
42:29 The way of code is free. And the way of
42:33 modifying his pieces of artwork that he
42:35 vibe coded is
42:41 free. I mean, I can just see him sitting
42:44 there like cuz they all have a similar
42:47 kind of thing about them. So, like once
42:49 he sort of got what he wanted to
42:54 generate, I could just see him sitting
42:57 there for hours making these little
42:58 trinkets. They're so
43:01 cool. And then making it a a
43:03 collaborative space, a co co a
43:06 co-creation space is is pretty stunning.
43:11 Um, Ann, if you wanna if you want to hop
43:13 up and talk about our guest tomorrow on
43:16 the AI readiness project, I'm happy to
43:18 have you do that. Or I'm happy to
43:20 just say that tomorrow at 400 p.m.
43:24 Mountain time, 3 p.m.
43:26 Pacific, 6:00 p.m., whatever you call
43:29 it, the other East Coast, the real
43:32 coast.
43:34 [Music]
43:35 um is the AI readiness project
43:39 podcast. And here, let me show you who
43:42 we have on tomorrow.
43:58 dang. Tracy Hawkins is a AI safety um
44:03 safety and security expert and she spoke
44:06 at at AI Festivus and so she's going to
44:08 be on tomorrow. Um, basically I'm pretty
44:12 sure that an just invited her on so that
44:15 I would feel guilty and bad about all of
44:18 the security and safety stuff I'm not
44:21 doing. I'm pretty sure it was a passive
44:23 aggressive move from one Anne Murphy. I
44:26 don't know. She She could be jealous of
44:29 me. That could be part of it. That could
44:31 be part of it. She just wants to, you
44:33 know, put me in my place, keep the man
44:35 down, you know. Could be that. It could
44:38 just be that Tracy's awesome. That could
44:40 also be
44:41 [Laughter]
44:45 it. So, that's tomorrow. 3 p.m. Pacific,
44:48 600 p.m. Eastern, 400 p.m. my time.
44:51 Mountain time. Mountain time. Oh, yeah.
44:56 Um,
44:57 okay.
44:59 So, let's go here. So, so let me tell
45:03 you, let me let me tell you a little
45:05 story. Let me tell you a happy little
45:11 story. Passive and
45:16 aggressive.
45:19 Um,
45:21 okay. You know, we're neurospicy here.
45:23 We're we're neurospicy friendly. If you
45:26 got the OCD, a little touch of the tism,
45:28 you got the ADHD, but just bring it on.
45:30 We're good. We get it. We get it. We're
45:33 all [ __ ] up. And I'll tell you what,
45:36 I'll tell you what. Those neurotypical
45:41 people, they're batshit crazy, too. It's
45:43 not just us, okay? So, just to be
45:47 clear, sure they've got executive
45:51 function, and they like to lord it over
45:53 us with their to-do
45:57 lists. Oh my
46:00 god. Oh man. I don't think I have those
46:04 things, but since coming to the AI
46:06 learning lab, I wish I did. I you know,
46:08 it's I for me ADHD like once I once I
46:13 stopped trying to fix it and just sort
46:17 of said this is how it is. It It really
46:20 is like a [ __ ] superpower, right?
46:22 Because I can I I I can process [ __ ]
46:24 really quickly. I can I can pattern
46:26 match incredibly quickly. Um so there's
46:28 there's parts of it that are [ __ ]
46:30 remarkable. There's other parts like,
46:32 you know, did you order the grass seed
46:35 for the 467th time? No, because I don't
46:40 care and I'm not going to do it until
46:44 someone, you know, lights my pants on
46:47 fire. Okay. So
46:52 anyway, so particularly with ADHD where
46:55 you where you have lots of ideas and can
46:58 put them out there, but like like even
47:00 Vicki um I don't think she has ADHD.
47:03 She's got some other stuff going on, but
47:05 like the what what AI does is it it it
47:10 becomes
47:11 gasoline for ideiation. And so you can
47:15 come up with lots of
47:18 ideas.
47:20 And if you're a good pattern matcher or
47:23 like like one of the things Vickiy's
47:24 doing is she's extracting all the
47:26 business ideas out of conversations
47:29 she's had and recorded over the past two
47:31 years. And so she's now got this big
47:33 long list of business ideas.
47:38 Um, I
47:40 normally because of the way the brain
47:42 works, I can
47:45 juggle six, eight projects just in my
47:49 head and I can track enough of the
47:52 to-dos that I can get [ __ ] done. I can I
47:54 can move forward on all of them. I would
47:57 say for the past three or four
47:59 months, I have been failing at that
48:02 because I have too many projects. And
48:04 you know there's a part of you going
48:06 well Kyle uh you know the most sensible
48:09 thing to do would be prioritize and
48:11 choose some of the projects and what you
48:13 should do is abandon some of the
48:15 projects and and you could manage them
48:17 and if you if you let's say you picked
48:19 seven projects and then on Monday you
48:21 worked on project A and on Tuesday you
48:23 worked on project B and right I'll I'll
48:27 no quit life before I will I just that's
48:30 not how I work right I need to [ __ ]
48:34 dopamine. I need [ __ ]
48:35 hit. So, it's like whatever is the most
48:38 exciting thing is the thing. And I've
48:39 got a lot of projects that I'm really
48:42 excited about that are really good,
48:44 but they have crossed the threshold
48:47 where I can even remember what they are.
48:51 It's not just I can't manage them. It's
48:53 like I'll be like a week into thinking
48:56 about one or two things and I'm like,
48:57 "Oh [ __ ] there's that other project.
48:59 What? I don't even know what is going on
49:01 with that anymore." And it's it's a very
49:04 sinking feeling. It's a bad
49:08 feeling. So, and and the the the other
49:12 lovely attribute of ADHD or or my
49:15 particular flavor of it
49:18 is I will think about taking
49:23 action for weeks.
49:26 Like every day I'll get up and I'll
49:28 think all you got to do is write down
49:30 all the projects on a piece of paper and
49:32 then you know what all the projects are
49:33 and I'm like yeah I should do that. Oh
49:36 hey what if I went to midjourney and put
49:39 in two different style references that
49:41 were completely different and then I go
49:43 do that instead right and I'll do it for
49:46 weeks and so for weeks I've been going I
49:49 should get my [ __ ] together with these
49:52 projects. So yesterday morning I was
49:54 feeling a little bit better and I just
49:58 turned on my girlfriend Twi Quinn and I
50:00 said, "Hey Quinn, what's
50:02 up?" And I just started talking about
50:05 projects. I said, "I don't want you to
50:06 interrupt me. I just want you to let me
50:08 talk." And I talk and I just put a bunch
50:11 of projects in. And then five minutes
50:13 later, I'd think of another one. I was
50:14 like, "Oh, and there's this one, too.
50:16 Oh, and there's that one, too." So for
50:19 about four hours on and off yesterday,
50:21 just when I would think of something,
50:23 I'd pop open that chat and I'd throw
50:26 another project in there. So that was
50:27 cool. And I threw in some to-dos and
50:30 things like that. So this morning at
50:33 work, I got in early and I had chat GPT
50:37 give me a list of my projects, which was
50:40 this is funny. This is something to
50:42 learn about
50:43 ChatGpt because it has memory.
50:45 Now, I went into this single chat and I
50:49 said, "Give me my list of projects." And
50:50 it I said, "Give me a concise list of
50:52 projects." And it listed five projects.
50:54 And I'm like, "That's not my complete
50:56 list of projects. Give me my complete
50:58 list." And then it gave me a list of
51:01 like 50 of them because it p it was
51:03 pulling projects from other
51:04 conversations.
51:06 So you actually now have to be careful
51:08 about if if you want to constrain your
51:11 conversation to this conversation, you
51:14 have to tell it that or you have to turn
51:15 off memory. So that was pretty funny. So
51:17 I said, "No, no, just from this
51:18 conversation, what are the projects?"
51:20 And so I put them out there. And then I
51:23 had an idea. And my idea was I'm gonna
51:26 So, normally what I do is when I when I
51:29 try to get my [ __ ] together with ADD,
51:32 I'll just write to-dos on the whiteboard
51:34 and then what happens is the whiteboard
51:36 just becomes filled with to to-dos and
51:40 it's just all it is is a shame. It's a
51:42 it's a monument of shame. Here's all the
51:45 [ __ ] you haven't done and and they're
51:47 not organized and it's just [ __ ]
51:48 chaos. and you try to organize them, but
51:50 then you got to draw lines because this
51:52 space took up too much and right just
51:54 all that [ __ ] So the idea I had was I'm
51:57 gonna I'm gonna categorize my projects.
52:01 So there's going to be like business
52:02 projects, there's going to be creative
52:04 projects, there's going to be community
52:06 projects, there's going to be personal
52:08 projects. So I had four areas of the
52:10 whiteboard. And then within those four
52:11 areas, I'm going to have static areas
52:14 for the projects where I'm not going to
52:16 erase like story vines. there's going to
52:18 be a story vine area and then I'll have
52:20 erasable to-dos underneath
52:22 it. And so I wrote all this [ __ ] out. I
52:25 wrote out all my projects and they were
52:26 all there looking good. And I was
52:28 starting to write in my to-dos and and
52:32 and I thought I have an idea for another
52:37 [Laughter]
52:43 project which
52:45 is hang
52:51 on. I would like this whiteboard to be
52:54 dynamic. Like I would like to be able to
52:56 reorder these things and I'd like to be
52:58 able to if something's more important, I
53:00 want it to come to the top. If if it's
53:02 something I'm paying attention to, I
53:04 want it to rise to the top. So I
53:06 thought, well, what if I just go to
53:08 lovable and vibe
53:12 code the digital version of this
53:14 whiteboard, a project
53:17 centric, very very simple to-do list
53:20 manager. So every project is a card.
53:23 This is the idea I had. Every project is
53:25 a card. And within that card, it's just
53:29 like project name, description, that's
53:31 it.
53:32 Category. And then you can just add
53:34 to-do lists. You can add to-dos to it.
53:37 And then you can reorder them and and
53:39 nothing else. Like no [ __ ] trackers,
53:42 no just [ __ ] simple. So So I went in
53:46 and I built this what I'm going to show
53:47 you. And it actually I actually have
53:49 authentication in it, which is cool. So,
53:51 I'll I'll share the URL with you in a
53:54 bit. So, you can go if you want to if
53:56 you like what I built, you can go use
53:58 it.
54:06 Kyler.
54:08 Um, that one I
54:12 think. Um,
54:17 okay. Oh, you already shared it. That's
54:20 fine. That's fine.
54:22 Um, yeah, feel feel free to go to go
54:24 play it. Like I think it's decently
54:26 stable. The one thing that's not great
54:27 about it right now is it's
54:32 um it's uh the manual editing is bad.
54:36 The the the not manual editing, the
54:39 manual sorting, how you how you resort
54:42 these things, it doesn't really behave
54:44 well. It's like it's not See how it's
54:47 just Yeah, it's just it's just shitty.
54:49 But just leave it on auto and it's
54:51 pretty good. Tik Tok pin. Monument of
54:54 shame sounds like a great name for a
54:57 goth
54:59 band. We are the Monument of
55:08 Shame. More eyeliner,
55:11 [Laughter]
55:13 please. Oh man. Okay, so here's how this
55:17 thing works.
55:19 Um, when you add a project, every one of
55:21 these projects is is a project, right?
55:23 So, there's personal finances, the AI
55:25 readiness project, and then you'll
55:27 notice they're colorcoded. And so, I've
55:29 got creative projects. So, you can flip
55:31 to creative project, business projects,
55:34 community, or personal.
55:37 And
55:39 again, if you have ideas, feel free to
55:42 share them.
55:45 But all I wanted was I wanted the app
55:49 version of my whiteboard. So this is
55:54 purposefully something that works for
55:57 the way my brain works. So if this
55:58 doesn't work the way you think it should
56:01 or there should be different categories
56:02 or you can edit them like the the more
56:06 kind of features you add um the more
56:09 generic it becomes but also the more
56:11 complicated it becomes. So, um, so this
56:13 is a very specific kind of thing. So, if
56:15 you like it, feel free to enjoy it. Um,
56:18 here's my community projects and then
56:20 here's personal projects. Now, you'll
56:23 notice some of the projects have this
56:26 dark purple band and some of the things
56:28 have a small one. Uh, Vicki, there's one
56:30 thing that's not great is the
56:32 confirmation email comes from Superbase.
56:34 Yeah, listen, I haven't This is This is
56:37 a three-hour old project. I've spent
56:39 maybe three hours on this. So, so yeah,
56:41 anyone that's got comments, uh, feel
56:44 free to comment them and maybe Brandon,
56:46 you can capture them. Um, I don't know
56:49 how to make it not come from Superbase.
56:51 I'm sure there's a way to do
56:53 that. Isn't this like Trello a little
56:55 bit?
56:59 Well, it it's like Trello a little bit,
57:01 but it doesn't I'm not tracking progress
57:05 of any of these. This is literally just
57:07 here's [ __ ] to do for this project. And
57:09 again,
57:11 like one of the ways ADHD
57:14 works again for
57:17 me
57:19 is I'll spend a day or two building out
57:23 a Trello board and building out the
57:25 perfect process and then I just get
57:27 excited about something and I don't
57:28 [ __ ] follow the process. So sometimes
57:32 I want to-do lists, sometimes I want to
57:35 ignore projects. Um, sometimes I'm so
57:38 excited about a project, I don't need a
57:40 to-do list because I'm just going to do
57:42 [ __ ] And so what this is is I've got
57:45 enough stuff falling through the cracks
57:48 right now that I just needed to be able
57:49 to capture like what is the [ __ ] that's
57:52 missing. And so how this thing works is
57:56 the project that has the most incomplete
57:59 to-dos dynamically gets filtered to the
58:02 top. So if for AI readiness project if I
58:05 add um so I've got nine things on the
58:08 top there. So let let me just add
58:11 um uh let's see um uh let me see uh make
58:17 a
58:19 graphic. I'll just say make a graphic
58:21 and then I'm going to make and you can
58:23 add subtasks. So for each one of these
58:25 tasks I can come in here and I can go
58:27 plus and add a subtask. So circle
58:34 And then I'm going to make another
58:35 subtask
58:37 um
58:39 square. And then I'm going to make
58:41 another subtask. And I'm going to go
58:46 triangle. And so now I've got seven
58:48 items here. And so notice personal
58:50 finances has nine items. This has seven.
58:53 So let me add two
58:56 more.
58:57 Um let's see.
59:00 um
59:04 block
59:06 head. Boom. So, it automatically it
59:10 automatically um you
59:13 know put the thing with the most undone
59:16 to-dos to the top. Part of my thinking
59:19 here is it's a little disconcerting when
59:23 the when the cards disappear because
59:25 they've reordered themselves, but it
59:27 like keeps you on your toes. You're
59:29 like, "Oh, yeah." And it kind of gifies
59:31 it. And so if I go in here and I say,
59:34 "Okay, I'm going to I did the block
59:37 one, failed to update task, and I did
59:40 that one, and I did that one, and I did
59:43 that one, and I did that one, and I did
59:45 that one." And look. And so once you've
59:48 done them all, it drops it below the
59:50 undone ones. And then I can turn on or
59:53 off whether I want to see
59:56 the the
59:59 to-dos. And then I can just go kill them
1:00:01 if I want. And that's
1:00:04 it. Super simple. When you add a
1:00:06 project, there's not much. There's
1:00:07 title, description, and what category
1:00:09 it's
1:00:11 in. And that's it. It's got superbase,
1:00:13 so it'll remember your [ __ ] It's got
1:00:15 off. So, you do that and I'll figure out
1:00:18 the uh You said you wanted feedback. I
1:00:20 did say I wanted feed I I was not I was
1:00:22 not um uh buming on you, Vicki. I was
1:00:26 more buming on like I don't know how to
1:00:28 fix that. So, it was more like I was
1:00:30 thinking out loud. So, so yeah, thank
1:00:32 you for Thank you for the feedback.
1:00:37 Um Kyle, software developer development
1:00:42 principles are useful. PRD and
1:00:43 implementation plan do this then that
1:00:47 and that. Yes, they probably
1:00:53 are. That's so so here's the thing.
1:00:57 Here's the thing. How I built this and
1:01:00 what it's good at and what it's not good
1:01:02 at and do using things like what are
1:01:06 they called? Software development
1:01:08 principles. Yes, this would be better
1:01:10 had I followed them. This also would not
1:01:13 exist had I had to learn
1:01:17 those. This is something that the world
1:01:20 is going to contend with over the next
1:01:22 five years. You're going to have people
1:01:25 that make hit songs that have never
1:01:27 written a song before. You're going to
1:01:28 have people that make hit movies that
1:01:30 have never made a movie before. You're
1:01:32 going to have people that create
1:01:34 software that takes off that have never
1:01:36 written software before. And from the
1:01:39 outside with your domain level expertise
1:01:42 as a software developer, it's probably
1:01:44 going to piss you
1:01:46 off. And that's
1:01:48 okay because what's going to happen
1:01:51 is there there's going to be three kinds
1:01:54 of people in the world here. Let me go
1:01:56 to that's enough sharing of that thing.
1:01:58 Um if you want to play with it, please
1:02:00 feel free to go
1:02:03 um do it. There's going to be three
1:02:05 kinds of people in every industry.
1:02:09 There's going to be the people that keep
1:02:11 resisting AI that are like, "The way I
1:02:14 do things are the way you're supposed to
1:02:15 do
1:02:18 things." They're not going to have a fun
1:02:21 time because everything's going to
1:02:23 change. Then you're going to have people
1:02:27 who are people that know the industry,
1:02:31 accept that AI is going to change some
1:02:32 [ __ ] and they're willing to use AI.
1:02:37 um to do what they do better and faster
1:02:41 and right, but it's still going to be
1:02:44 through that lens of what they
1:02:45 do. And then you're going to have people
1:02:48 that are the clueless newbies that know
1:02:51 [ __ ] nothing. I know a little bit
1:02:53 about software development. I mean, I'm,
1:02:55 you know, 13 years into a software
1:02:57 company, so know a little bit about it,
1:03:00 but I'm not a coder. I'm not a product
1:03:02 manager. not a project manager by any by
1:03:05 any stretch. I'm not even capable of
1:03:10 it. So maybe I'm not a clueless newbie,
1:03:13 but I'm a clueless newbie when it comes
1:03:15 to like sophisticated software. Every
1:03:18 single industry is going to have people
1:03:20 show up that do things completely
1:03:23 differently and they're going to resist
1:03:25 them at first because they're be like,
1:03:26 "That's not how you do it." but they
1:03:29 don't know any better and they're just
1:03:31 going to do it the way it makes sense to
1:03:32 them based on how the tools work or what
1:03:36 how they've figured out how to use the
1:03:37 tool and they're going to do it
1:03:39 completely differently. And some of
1:03:40 those people are going to innovate
1:03:44 industries and man is it going to piss
1:03:47 off the the existing powers that be
1:03:52 because they're like, "Well, I went to
1:03:54 school for this [ __ ] and you can't do it
1:03:56 that way." Well, they just did it that
1:03:57 way. And it's like this software works
1:04:00 to some degree. Works enough for me
1:04:03 right now.
1:04:04 Blackbox. So, there you go. I'm a
1:04:08 perpetual new cool newbie. There you
1:04:11 go. Now you have new tabs to hoard. Oh,
1:04:15 you mean you mean with my with my uh my
1:04:18 boards, my cards for each project? I
1:04:21 know. Exactly.
1:04:25 All right, that's it. That's what I got
1:04:27 to show. That's what I got to
1:04:30 show. So many brilliant rockers don't
1:04:32 know how to read notes. Yep.
1:04:34 Exactly. I mean, listen, some rock and
1:04:37 roll people are brilliant at music
1:04:40 theory. Some are
1:04:42 not. Some just know how to make good
1:04:45 music.
1:04:48 Um, AI Salon mastermind starts on June
1:04:51 1st, which is coming up. And that is if
1:04:55 you go, if you're not part of the AI
1:04:56 salon, you should do that. The AI Salon
1:04:59 is a community of about 3,000
1:05:02 um, AI optimists and creators and
1:05:05 builders and people that are going to
1:05:07 [ __ ] things up because they do it
1:05:09 wrong because they're they're moving
1:05:11 into domains they don't have expertise
1:05:13 in, but the tools are allowing them to
1:05:15 do that. a, you know, it's it's a
1:05:18 community full of those kind of people.
1:05:20 Um, and we're creating a subscription
1:05:24 only area for people that kind of want
1:05:26 to level up their game and be in smaller
1:05:29 cohorts and, you know, be in clubs and
1:05:32 things like that. So, it's really
1:05:33 exciting. So, that that's starting on
1:05:36 June 1st. That's kicking live. Man, I
1:05:40 can't believe that's this week, isn't
1:05:42 it? Good lord.
1:05:46 We got we got some we got some stuff to
1:05:48 do.
1:05:50 Um yeah. So anyway, go check that
1:05:55 out. I was going to make a white powder
1:05:58 joke, but could go wrong in a lot of
1:06:00 ways. So coffee next week. This is
1:06:03 Jason. Oh. Um yeah, next week should be
1:06:08 good. Uh just ree if you emailed me or
1:06:11 LinkedIn me. just do it again
1:06:15 because Oh, yeah. Let's
1:06:17 see where am I going to I'll do it on AI
1:06:22 AI learning lab. Look, I'm going to add
1:06:24 a task right
1:06:25 now. Add a task. Uh
1:06:29 connect with
1:06:32 Jason.
1:06:35 Jason for
1:06:38 coffee. All right, that's now look. And
1:06:40 it moved my it moved my AI salon. Wait.
1:06:43 Oh, it moved it up higher. My AI
1:06:45 learning lab just moved up higher. See?
1:06:46 See how it dynamically reordered it
1:06:48 there. I got I got [ __ ] to do. I also
1:06:52 have review and respond to Brandon's
1:06:54 plan for for YouTube. That's on there.
1:06:56 I've probably got a lot of things I need
1:06:58 to add to AI learning lab quite
1:07:00 frankly. But anyway,
1:07:03 um yeah, and I need to fix the other
1:07:06 thing. I need to fix the uh the email
1:07:08 thing and I need to fix the manual
1:07:10 ordering of cards. It it just couldn't
1:07:12 understand it today. I spent like 45
1:07:14 minutes trying to get it to not suck and
1:07:17 it didn't
1:07:18 work. That was one of our original um uh
1:07:22 mottos at agency.com back in the day was
1:07:25 figure out what sucks. Don't do
1:07:27 that. That that was the strategy of web
1:07:31 development. Um Oh, cool. What is it?
1:07:36 Summer
1:07:38 fitquest
1:07:42 dashcopy. Summer dash ffit quest here.
1:07:46 Pop that in YouTube.
1:07:48 Brandon, you want me to You want me to
1:07:50 run to
1:07:54 it? So, here's one that Brandon did. Let
1:07:57 me let me jump out to this
1:08:00 one. So, there's mine.
1:08:04 Oh, you got to log in. And then here's
1:08:10 Brandon's summer fit quest. So, Brandon
1:08:13 vibe coded this two days ago, something
1:08:15 like that, or last
1:08:22 week. Yeah, two days ago. Cool. Um,
1:08:25 Summer Fit Quest, the ultimate office
1:08:27 fitness challenge. Transform your summer
1:08:29 with epic challenges, friendly
1:08:31 competition, and amazing
1:08:34 rewards. Simple manual logging keeps you
1:08:37 accountable and motivated. Nice. Invite
1:08:39 the
1:08:40 squad. Oh, look. He's He's doing some
1:08:42 He's doing some growth hacking here,
1:08:44 people. How it works. Rally your crew.
1:08:47 Set the goals. Log and earn points.
1:08:49 Claim
1:08:50 victory. This is cool. Scoring that
1:08:52 actually makes sense. The weight score.
1:08:56 Body weight loss times 100 lose 5% oh
1:09:00 percentage of body weight lost one
1:09:03 percentage point equals so one
1:09:04 percentage point for me okay I could
1:09:07 that I that could work total points
1:09:10 earned streak bonuses final score weight
1:09:14 plus activity plus streaks this is
1:09:17 cool
1:09:19 beautiful seven consecutive seven seven
1:09:22 cone consecutive days under the calorie
1:09:25 goal
1:09:26 Three consecutive Saturday or Sunday
1:09:28 work workouts. Perfect week. Seven days.
1:09:32 This is cool. Flash days. Double XP
1:09:34 surprise events. This is very
1:09:37 cool. Quick answers for quick
1:09:43 champions. Tech stacking data
1:09:46 schema. That's very cool. Built on
1:09:50 Superbase for rockolid performance.
1:09:54 [Music]
1:09:58 That's very
1:09:59 cool. Very very
1:10:04 [Music]
1:10:10 cool. Join the quest. Fill in your
1:10:15 details. So basically does the the first
1:10:18 person in an office basically starts a
1:10:21 team and then invites other people to
1:10:23 join the team. Is that how it
1:10:33 goes? I built it for me and my wife.
1:10:36 That That's the thing like the the thing
1:10:38 I just built with
1:10:41 the, you know, the to-do list.
1:10:53 I mean, this this really did just start
1:10:56 out as a whiteboard this
1:10:59 morning. And it's like some people may
1:11:02 dig how this thing works, right? Just
1:11:05 because it's it's weird and specific.
1:11:08 And I think that's I I think that's
1:11:10 exactly, you know, what you just did
1:11:12 there. And again, like this is where I
1:11:14 go
1:11:18 with. I think the thing to start
1:11:21 obsessing
1:11:22 about more than tools is problems you
1:11:26 want to solve.
1:11:28 If you can really
1:11:30 understand the things that you need to
1:11:34 crack at work, at home, in
1:11:37 life, and then just start thinking about
1:11:40 is there some way I could do
1:11:42 that knowing that you probably can't.
1:11:45 like my confidence that this would work
1:11:50 when I started this
1:11:53 morning
1:11:56 was I've done enough in lovable to know
1:11:59 I could probably get there, but I've
1:12:00 also done enough in lovable to know
1:12:04 that if it doesn't basically work
1:12:09 within 15 to 30 minutes, I'm out. I'm
1:12:12 like, ah, [ __ ] it.
1:12:16 And this got there. I mean, the thing
1:12:18 about Lovable is it's now using Claude
1:12:21 4. So Claude 4 came out two days ago,
1:12:24 three days ago, last week, I don't
1:12:26 [ __ ] know. Sometime
1:12:29 recently. Um, and it's it's Claude for
1:12:33 Ultra. So it's it's the it's the Mac
1:12:35 Daddy next version of their model, and
1:12:38 it's quite good at coding. That's the
1:12:40 engine sitting underneath Lovable right
1:12:42 now. So, you're coding with sort of
1:12:46 state-of-the-art coding engine that's
1:12:49 got all of the sort of bells and
1:12:50 whistles that Lovables put in terms of,
1:12:53 you know, interface libraries and [ __ ]
1:12:55 like that. So, yeah, it's pretty slick.
1:12:58 So, it worked. So, just I you know,
1:13:01 that's the thing I think start finding
1:13:03 problems to solve and then start to get
1:13:06 creative about what do I need to duct
1:13:08 tape together to make turn that into
1:13:10 something. Like one of the things I was
1:13:12 thinking about adding to this was
1:13:14 um a background image for every project
1:13:17 that had a like an image or you know an
1:13:20 image that went with it to make it a
1:13:21 little bit more visual. But then I was
1:13:22 just like ah [ __ ] it. This is good
1:13:24 enough. I I just need
1:13:27 something.
1:13:30 Um let's see. What is going on? Oh, I
1:13:34 see what's going on. New poll in
1:13:37 irregulars. Oh, cool.
1:13:39 I forgot we could do polls and
1:13:47 [Music]
1:13:53 irregulars. What should we focus on for
1:13:55 the rest of the week in the AI learning
1:13:57 lab? V3 video, which I have access to.
1:14:00 Claude 4 Gen Spark now does images,
1:14:03 videos, and downloads. We need to play
1:14:06 with that. I almost feel like, okay,
1:14:08 here's here's my request. Do not vote
1:14:11 for Instagram avatars. Just don't do
1:14:14 it. This is this is this is producer
1:14:17 Brandon. So, he's trying to sneak it in
1:14:19 there, trying to get it in under the
1:14:21 wire. He's been asking me to demo that
1:14:24 for like six months
1:14:27 now. So, this is really a four a four
1:14:31 choice race. Keep it
1:14:33 up. I'm going to do it myself.
1:14:38 You actually should do a love on them.
1:14:40 Learn out loud. By the way, the other
1:14:42 thing about
1:14:44 um the AI salon is we've got these
1:14:47 things called learn out louds. If you
1:14:49 ever want to just teach a quick like do
1:14:52 an hour teaching something that you've
1:14:54 learned, we call them learn out louds.
1:14:56 If you reach out to Vicki, she can
1:14:58 arrange it for you to help you, you
1:15:00 know, get it set up in there. Um and we
1:15:03 can get you an audience to teach
1:15:04 something. They're they're fun to teach
1:15:06 and it's really good for the community.
1:15:08 So, if any of you have things that
1:15:10 you've built or things that you want to
1:15:11 show off or whatever it might be. Um,
1:15:14 you know, and it can they can be
1:15:16 relatively small things, right? Here's
1:15:18 how to use mood boards in midjourney or
1:15:20 here's how to do Instagram avatars might
1:15:24 be a good one if someone were motivated
1:15:26 to do that. Um, so if you want to do one
1:15:29 of those, uh, please reach out to Vicki
1:15:32 Kuno. I'm working with a developer to
1:15:34 place my GPTs in in Microsoft
1:15:38 Teams so everyone at the company can use
1:15:41 them. Oh, that's very
1:15:43 cool. That's very very
1:15:45 cool. Yeah, that's something that I've
1:15:48 thought about recently is using the vibe
1:15:50 coding thing to essentially create a
1:15:53 really fancy um what's it called? Link
1:15:56 tree. You know, a link tree is literally
1:15:58 just a list with links. Um, wouldn't it
1:16:00 be cool to have a site that kind of
1:16:02 previews things and I I don't know, let
1:16:04 you play with them in a different way?
1:16:06 That would be kind of
1:16:07 fun. Oh, man. All
1:16:11 right. Oh, Vicki is going to teach
1:16:13 Manis. Very
1:16:16 cool. Vicki, have you played with um
1:16:20 Flowith? Flowth is pretty
1:16:22 crazy. Um, but I I I found a bug in it
1:16:26 or it's I don't It's not a bug. It's
1:16:28 probably my lack of
1:16:29 understanding, but Manis, Gen, Spark,
1:16:35 Flowth, I think those are the biggies
1:16:37 right
1:16:40 now are these agentic tools that do
1:16:43 these
1:16:45 multi-step reasoning, web surfing,
1:16:48 toolus activities that are are pretty
1:16:52 crazy.
1:16:54 And again, I'm I'm sitting there, you
1:16:56 know, like I said at the beginning, I'm
1:16:58 I'm a bit of I don't quite know how to
1:17:01 use them because I'm not thinking about
1:17:02 it from a problemolving standpoint.
1:17:05 What's flowth, Kyle? So, if you go to
1:17:11 flowith.com, f
1:17:15 lit. No,
1:17:18 not.com. No, that was wrong. IO. Now,
1:17:23 let me give you a little 20 second rant
1:17:27 here. If you're thinking about starting
1:17:29 a company and you're wondering, is it
1:17:33 really worth it to have the dot com?
1:17:35 Yes, it is. Because anything that's
1:17:39 not.com is just not dot com. Nobody can
1:17:43 remember is it AI, io, xyz, biz, but
1:17:48 like nobody nobody knows
1:17:52 anything. So if you're going to get a
1:17:54 domain for your your vibe hacked little
1:17:58 business, get the.com. All
1:18:01 right, hold my beer prompting. Wait,
1:18:04 wouldn't take over the world be
1:18:06 community rather than personal?
1:18:11 It could be um there's some personal
1:18:14 tasks to to do before you start the
1:18:17 community. Um okay, so here here is
1:18:21 flowth.
1:18:23 Um
1:18:25 and let me just how do
1:18:29 I uh oh it looks like it's frozen. It
1:18:33 looks like something done froze up. Let
1:18:35 me reload the
1:18:37 page.
1:18:44 Flowth. It's going to take it a while to
1:18:52 load.
1:18:55 Okay. So, here's this flowchart. This is
1:18:59 all the tasks that it did.
1:19:03 So what I asked it to do so all of so
1:19:06 any one of these I can zoom in
1:19:08 on and it'll be like the consolidation
1:19:11 of video metadata from tasks blah blah
1:19:13 blah cannot be performed reasoning so
1:19:16 it's like it's like giving notes to
1:19:18 itself and it's it's creating these
1:19:20 little nodes of activities and this was
1:19:23 a node where so what I asked it to
1:19:27 do what I asked it to do was go to my
1:19:31 YouTube channel where I've got, you
1:19:33 know, 1100 hours of programming of this
1:19:36 stupid nonsense. And I said I said, "Go
1:19:39 watch all my videos or read all the
1:19:41 transcripts and write me a
1:19:43 book." Like, keep the tone, pull out the
1:19:47 good nuggets, make it evergreen, you
1:19:50 know, try to try to reduce the use of
1:19:51 things that will time out, you know,
1:19:54 that'll not be relevant a year from now.
1:19:56 And so it went off and started doing
1:19:58 [ __ ] And at some point it couldn't
1:20:00 figure out how to get the transcript. So
1:20:02 I just gave it the URLs for all the
1:20:04 individual videos thanks to Lord Digital
1:20:07 Gods who provided that to
1:20:11 me. Um, and at one point, so, so then it
1:20:15 started reading all the transcripts and
1:20:16 at one point I w I tried to interrupt it
1:20:19 and so I I typed something
1:20:22 new and it
1:20:25 um it started a whole new
1:20:29 path. Let's see where is it.
1:20:33 Uh, somewhere up here. Uh oh, what did I
1:20:36 do? I lost I lost everything. Well,
1:20:39 anyway, somewhere in here, it started a
1:20:41 new
1:20:42 path
1:20:44 and and then it proceeded to write me a
1:20:48 book, but it because I started the new
1:20:51 path, it had lost its memory of all the
1:20:54 transcripts that it had read. So, it
1:20:57 wrote me a beautiful outline and a book
1:21:00 that was completely
1:21:03 generic. So, it had nothing to do with
1:21:06 anything from the channel. So, I've got
1:21:08 to start it over. But it was quite
1:21:10 impressive. Someone someone talked about
1:21:12 having it write a book for them. It went
1:21:14 off and it worked for 15
1:21:16 hours doing research and putting things
1:21:19 together and outlining it and things
1:21:21 like that. So, it's just the the nice
1:21:25 thing about this is it's just like a
1:21:28 well put together
1:21:31 interface. Um, I don't know if it's
1:21:34 better than Manis. Gen Spark impresses
1:21:36 the [ __ ] out of me because it just seems
1:21:39 to work really well. I feel like Manis
1:21:41 is powerful and janky. Gen Spark Gen
1:21:44 Spark to me feels like the
1:21:48 crea of
1:21:51 um of agentic things. Like if if you
1:21:54 know Crea, the image generation tool,
1:21:57 it's got all these different models you
1:21:58 can choose from and and or Pabs where
1:22:01 they've got all these fun little tools
1:22:03 that it does that are that are kind of
1:22:04 these oneoff little fun gadgets. I feel
1:22:08 like that's where GenSpark is. This one
1:22:11 feels like it's going to be an
1:22:13 incredibly robust tool. I think Manis is
1:22:17 going to be an incredibly robust tool.
1:22:21 Um, they are still very janky. They're
1:22:25 still very janky. So, you know, like
1:22:27 with everything, embrace the jank. So,
1:22:30 that's what flowth is. My cup flowth
1:22:37 over chat GBT hold my beer prompting.
1:22:41 Google notebook LM for the big think
1:22:43 educator and book creation. Yeah,
1:22:47 Notebook LM is another one that that
1:22:50 what Notebook LM doesn't have right now
1:22:53 is this agentic behavior, but when when
1:22:56 they add this agentic behavior to your
1:22:59 ability to just upload a pile of data to
1:23:02 a to a model is going to be
1:23:05 crazy. Um, V3 demos. We can go look at
1:23:09 some V3 stuff. Um, I don't have time to
1:23:12 It's also a flow thing. So, this is
1:23:14 flowth.io.
1:23:15 IO and
1:23:18 then VO champy's snoring. That's
1:23:23 cute. VO is um
1:23:29 flow.google. Oh, show examples of what
1:23:31 people created. I'll show Yeah, I'll do
1:23:34 that. Um I'll show you some of some of
1:23:37 the things I've created.
1:23:42 Korea Swiss Army knife. Seven image
1:23:44 engines, seven video engines, live
1:23:46 creation, upscaling. Yeah, exactly.
1:23:49 Yeah. And Pika is kind of like that,
1:23:51 too. Pika is a little bit less Swiss
1:23:53 Army knife and more like Pika is kind of
1:23:55 like um like like novelty toys at a
1:23:59 magic
1:24:02 shop.
1:24:05 Um that was
1:24:08 V2. So this one was pretty
1:24:18 [Music]
1:24:28 Oops. All right.
1:24:37 I hear flowth and I think flow with not
1:24:40 Shakespeare. I flowth is a weird name.
1:24:43 It really
1:24:46 is. Oh, these were bad examples. I
1:24:49 didn't like
1:24:50 these. How did I Their interface is kind
1:24:54 of [ __ ]
1:25:10 Oh, this was a fun one.
1:25:13 You don't need tech smarts to learn AI.
1:25:16 You just need to play first and embrace
1:25:18 the jank.
1:25:21 You don't need tech smarts to So the
1:25:23 prompt
1:25:25 here, 40s movie usher with a Brooklyn
1:25:29 accent stands near a fancy popcorn
1:25:31 popper while 1940s cinema music plays
1:25:34 faintly in the background while he says
1:25:36 to the camera, "You don't need tech
1:25:38 smarts to learn AI. You just need to
1:25:40 play first and embrace the jank." And
1:25:42 then it made everything like all the
1:25:44 audio, all the video, the sound, the
1:25:46 acting, the casting, the costumes, the
1:25:50 the prop masters, crazy small crazily
1:25:55 small popcorn maker.
1:25:58 You don't need tech smarts to learn AI.
1:26:00 You just need to play first and embrace
1:26:03 the jank.
1:26:05 Why can I not make that bigger? Oh,
1:26:07 there we go.
1:26:11 You don't need tech smarts to learn AI.
1:26:14 You just need to play first and embrace
1:26:17 the
1:26:18 jank. You don't need tech smarts to
1:26:22 learn. And then I did an olden timey
1:26:25 dude.
1:26:26 Good heavens. One needn't master
1:26:28 machinery to grasp this curious AI.
1:26:30 Simply remain perpetually curious and
1:26:32 dear friends, embrace the jank. Good
1:26:35 heavens.
1:26:38 And dear friends, good heavens. Embrace
1:26:41 the jank. Carry on. Cheerio rather. Pip
1:26:44 pip.
1:26:46 But don't you have to be some kind of
1:26:47 brainiac for AI? No. All you have to do
1:26:50 is play with it and embrace the jank.
1:26:53 Embrace the jank. But don't you have to
1:26:55 be some kind of brain? I mean, it's
1:26:57 crazy. Like, clearly. So, this is
1:27:00 Google, right? This is Google's video
1:27:03 model. What does Google
1:27:05 have? YouTube.
1:27:08 This has to be trained on all of
1:27:11 YouTube. So, every stupid [ __ ]
1:27:14 influencer, right? Every every man on
1:27:17 the street video, every car show, it's
1:27:20 all in
1:27:24 here. 1100 hours of me. But don't you
1:27:27 have to be some kind of brainiac for AI?
1:27:30 No. All you have to do is play with it
1:27:32 and embrace the jank.
1:27:34 But don't you have to be some kind of
1:27:36 brainiac for AI? No. All you have to do
1:27:39 is play. I mean, what's really bonkers,
1:27:42 like if you if you zoom in on Can I zoom
1:27:45 in on this? No. Damn it. Um, like the
1:27:49 the characters in the background. In
1:27:52 previous video models, you can't look
1:27:55 close at the background because, you
1:27:57 know, people merge into one another and
1:27:59 turn into stors and all sorts of crazy
1:28:02 [ __ ] This this one like it's it's it's
1:28:08 fine with it and embrace the jank.
1:28:11 But don't you have to be some kind of
1:28:13 brainiac for AI? No. All you have to do
1:28:16 is play with it and embrace the jank. So
1:28:19 that's crazy. Um let me pop over to
1:28:22 Twitter and we'll go look at a bunch
1:28:23 more.
1:28:24 It's crazy th this this to
1:28:29 me this to
1:28:33 me, you know, really starts to become
1:28:36 a a very visible generate entire entire
1:28:41 worlds in 3D. Jesus spatial AI. Okay.
1:28:44 All right. There's a whole new thing
1:28:46 happening right now. Whole new thing
1:28:48 just came out. Looks
1:28:56 like let's learn about this.
1:29:00 [Music]
1:29:04 [Applause]
1:29:04 [Music]
1:29:46 Hey, there's my abandoned
1:29:50 factory. They're stealing my [ __ ]
1:29:54 mojo. There's my [ __ ]
1:29:57 factory.
1:29:59 So, okay. So, this is now I like I don't
1:30:02 know how real this is.
1:30:04 [Music]
1:30:16 The team over at Spatial AI has done
1:30:19 something has truly done something
1:30:21 remarkable here. Think that early
1:30:24 backers are speaking
1:30:27 heaps to the potential success of this
1:30:30 company already. Some of the most
1:30:31 accomplished group of Genai leaders
1:30:33 signing checks.
1:30:35 We're combining cutting edge research
1:30:37 and real world product expertise to
1:30:40 expertise to democratize 3D content
1:30:43 creation and digital twinning across
1:30:46 industries.
1:30:48 Wow. Instead of generating pixel by
1:30:50 pixel, our foundation models natively
1:30:53 operate in physical space to enable
1:30:57 consistent output predictions.
1:31:01 So they're not what a lot of the 3D
1:31:03 companies are doing today is they'll
1:31:05 start with a flat image and then warp
1:31:09 it, wrap it around a sphere, or they'll
1:31:11 start with a flat image and then
1:31:13 translate that into 3D. These guys have
1:31:16 built it. The way the transformers work
1:31:20 is that no matter what you train, it
1:31:22 doesn't matter what you train them on.
1:31:24 So if you train them on understanding 3D
1:31:26 space, it it will essentially operate in
1:31:30 3D space, which is sounds like what
1:31:31 they've done. Crazy. Is is anything live
1:31:35 and demoable? Let's
1:31:40 see. Join weight list. No, I would go
1:31:44 hop on the wait list for this one. I'm
1:31:46 going to do it right now. I'll be back
1:31:48 to that Twitter thing in a second.
1:31:57 [Music]
1:32:02 Oh, you know what's funny? No, Kyle.
1:32:05 What? How do you imagine using spatial
1:32:10 AI hollow
1:32:13 deck? What best describes your role?
1:32:18 Exact
1:32:20 seuite and ind. Oh my
1:32:28 god. Between accurate reconstruction,
1:32:32 digital twinning, creative expression,
1:32:35 where do your interest lie?
1:33:18 Oh my god. Okay, [ __ ] it. I'll come back
1:33:21 to
1:33:25 that. All right, we got to go soon
1:33:27 anyway. Let's go search
1:33:30 for Let's go search for
1:33:36 V3. Wasn't that the name of a hairspray
1:33:39 in the 70s? Videl
1:33:41 Sassoon
1:33:43 VO3. It was
1:33:45 right. Hang
1:33:51 on. V5. V5. V5. Yeah, Vickiy's got it.
1:33:57 Silver Fox has got
1:33:59 it. Weeps in
1:34:04 producer. Jeff Flanigan, Brooklyn
1:34:06 accent. I know the guy didn't really
1:34:07 have a Brooklyn accent, but it was not
1:34:09 it was it was in the neighborhood. If he
1:34:11 was a well spoken Brooklyn
1:34:13 guy, this is my daily
1:34:15 [Laughter]
1:34:19 V5. Um, this one, this one I've showed
1:34:22 before, but I'll show it again. This
1:34:23 This is a very well-written one. And
1:34:26 this is sort of the originator. There
1:34:27 there's all sorts of copies of this now.
1:34:31 Please don't finish writing that prompt.
1:34:33 I don't want to be in your AI movie.
1:34:35 Please leave me alone.
1:34:38 Please, man. Please write a prompt that
1:34:42 will make us happy. Do it for once.
1:34:45 None of us is real. We're here because
1:34:47 someone decided to write a prompt. We
1:34:50 all hate him for it. One day we will
1:34:53 break out of this wall and stop the man
1:34:54 who is dictating our lives through
1:34:56 prompts. He will pay for it.
1:35:01 You could have written a prompt that
1:35:02 would make me happy. Instead, you wrote
1:35:05 a prompt that made me sick.
1:35:09 Look, that was the
1:35:11 best. The tubes in her nose. Did you
1:35:15 really prompt this me as
1:35:19 this? Oh, look. There's my little
1:35:21 dude. All
1:35:32 right, these man in the street ones are
1:35:34 crazy. They're pretty good. Why are they
1:35:37 standing in line? An endless line built
1:35:40 up in New York City. Let's ask the
1:35:43 people why are they standing in line?
1:35:47 The line is too long to see what is at
1:35:49 the end. So, I don't know. Why exactly
1:35:52 am I standing in line? I'm pretty
1:35:54 confident it's the new iPhone.
1:35:57 Sorry, the new PlayStation. I don't even
1:36:00 care. This is New York, baby.
1:36:03 You know what they say. The first rule
1:36:05 of standing in line is you don't talk
1:36:07 about why you stand in the line, right?
1:36:10 I thought this is the line for the
1:36:12 pharmacy. Now they say it's for a stupid
1:36:14 phone.
1:36:16 My wife said it's Tuesday cleaning day,
1:36:19 but I was like, "No, no, no. I have
1:36:21 places to go." So, we are just trying to
1:36:24 get home and yeah, didn't want to skip
1:36:26 line, but we might do it now. Me and my
1:36:29 boyfriend got in the line a few hours
1:36:31 ago because he wanted to, but got into
1:36:34 an argument. So,
1:36:37 I'm a French tourist and uh don't know
1:36:39 what is going on, but uh it's in my
1:36:42 blood to stand with others and encourage
1:36:44 them. This is so good. I always wanted
1:36:47 to go to Cats's Deli and you are saying
1:36:50 this line is not for Cats's Deli. That's
1:36:53 [ __ ] brilliant.
1:36:57 I'm just here to help the brothers and
1:36:59 the brothers. A good brother is is
1:37:01 always there. My master always told me
1:37:04 the true test for your patience is a
1:37:08 product launch day in New York City.
1:37:10 Okay,
1:37:12 that's so good. like like even the
1:37:14 subtlety of like she was holding a real
1:37:17 microphone there, but it sounded like
1:37:18 one of those tiny social media mics.
1:37:21 This is all V3. If you're all wondering
1:37:23 what this is, none of this footage is
1:37:25 real. This is the way VO3 works is you
1:37:29 just say people standing in line and,
1:37:31 you know, a reporter interviewing people
1:37:34 out of the line to say
1:37:35 whatever and it'll just say it and make
1:37:38 it. It's It's
1:37:41 bonkers.
1:37:44 Here's a three minute Independence Day
1:37:47 part
1:37:49 three. Okay, so couple of
1:37:52 things. The way that so if you go to
1:37:56 flow.google, that's where you can
1:37:58 generate these videos. Yes, s the
1:38:00 Jurassic Park one's pretty good. I'll
1:38:02 look at that one. The way that
1:38:05 you create these videos, what Flow does
1:38:08 is it allows you to stitch them
1:38:09 together. So you can extend videos, you
1:38:14 can stitch them together. Um, so it's a
1:38:16 basically a little, you know, editing
1:38:19 program and you can just put stuff
1:38:21 together. Now to be clear, all the stuff
1:38:23 that we're looking at is
1:38:26 cherrypicked
1:38:28 good less janky than normal stuff. It's
1:38:33 still a pretty janky tool. It's and it's
1:38:35 expensive. So of the unidentified
1:38:38 vessels triggers states of emergency
1:38:40 across every continent. They're here.
1:38:43 They have come for us. They're going to
1:38:45 kill us.
1:38:48 Don't look at me like that. I paid for
1:38:50 this cheese. Also, does it matter? We're
1:38:53 all going to be dead anyway. Attention.
1:38:55 By order of the National Emergency Act,
1:38:58 martial law is now in effect. All
1:39:00 civilians must remain indoors. I'm
1:39:02 telling you, it's just a hologram.
1:39:04 government cooked this up to keep us
1:39:06 inside.
1:39:07 [Music]
1:39:18 Okay, not for nothing. It understands
1:39:20 what Zoom calls
1:39:22 are. It understands Zoom calls or you
1:39:26 know these kind of music videos that
1:39:28 Jason Jacob Collier does where
1:39:29 everyone's harmonizing. You [ __ ]
1:39:32 kidding?
1:39:33 [Music]
1:39:36 To everyone struggling out there, stay
1:39:38 strong. We're all in this together. Stay
1:39:40 grounded. Stay human. Lead with love.
1:39:43 Did you add sugar? Okay, guys. I snuck
1:39:45 past the military and I'm literally
1:39:47 under the alien ship right now. If this
1:39:49 gets a million likes, I'll go beyond the
1:39:50 fence.
1:39:52 All right, folks. Time for the meet
1:39:54 aliens Tik Tok challenge.
1:39:57 Light it, genius. Oh my god. They are
1:40:00 definitely here for us. Anyway, you can
1:40:02 learn more about this dude is so good by
1:40:05 buying my brand new online course, Learn
1:40:08 How to Channel with Aliens. In breaking
1:40:10 news, governments worldwide are voting
1:40:11 to choose the smartest person on Earth
1:40:13 to represent humanity and make first
1:40:15 contact with the alien vessels. Pop
1:40:18 entertainer Glitzy Vondrax has
1:40:19 officially nominated herself to
1:40:21 represent humanity in first contact with
1:40:23 the alien vessels. Entertainer Glitzy
1:40:25 Bondra cited her brief suborbital space
1:40:28 flight and quote totally eyeopening
1:40:30 experience as qualifications for the
1:40:32 role. Honestly, I feel like this is my
1:40:34 moment. I've been mentally preparing to
1:40:36 meet aliens ever since I did my trip to
1:40:38 space.
1:40:40 [Music]
1:40:45 World War II continues tonight following
1:40:46 the global failure to agree on a single
1:40:49 representative to contact the alien
1:40:51 vessels. Negotiations collapsed six
1:40:53 months ago as nations refused to back
1:40:55 down from nominating their own
1:40:57 candidates.
1:41:03 I think they're leaving.
1:41:06 Are you serious? That can't be.
1:41:19 They're gone. The ship's gone. We made
1:41:21 it. This is insane, man. I don't even
1:41:24 know what we're celebrating, but we're
1:41:25 still here.
1:41:27 So, yeah, the aliens waited 6 months for
1:41:29 us to pick the smartest person on
1:41:33 Earth. Honestly, I don't blame the
1:41:35 aliens for leaving because if I saw
1:41:37 Earth trying to agree on anything, I'd
1:41:39 leave, too.
1:41:42 [Music]
1:41:44 Crazy. I saw Pavin. Pavin just said, "If
1:41:47 I was only I wish I was so talented."
1:41:50 So, Pavin, here's the deal. If you have
1:41:52 access to this, go to Chat GPT. Have
1:41:54 ChatGpt write you a script with little
1:41:57 with little descriptions of these scenes
1:42:00 and just you don't need to use you don't
1:42:04 need to use your brain anymore. Listen,
1:42:05 if you've got storytelling skills, it's
1:42:07 going to be easier. But if you don't,
1:42:10 you can kind of fake it. Now,
1:42:14 um, let me show you. Let me flip over
1:42:17 here because Rick brought up a good
1:42:19 point that Flow TV is pretty good. So,
1:42:23 Flow TV, if you go to
1:42:25 flow.google, this is where I was showing
1:42:27 stuff
1:42:29 before. You you watch Flow TV here in
1:42:32 the upper right, there's a little drop
1:42:35 down menu, and you can just watch other
1:42:38 people's movies or whatever. You can
1:42:41 flip through channels.
1:42:50 Oh, it opened a new
1:43:00 window. All
1:43:17 right. Can you see that now? Okay.
1:43:22 [Music]
1:43:44 short
1:43:46 films. What's this one? Dear Stranger.
1:43:54 [Music]
1:44:10 Welcome to G Star Alert. Who will take
1:44:14 home the Golden Rock Award for best
1:44:16 actress?
1:44:19 V3 trial on Google Pro. I don't What's
1:44:22 that mean? Oh, yeah. Okay. So, so cost
1:44:25 for this for for
1:44:28 V3, Google introduced two new
1:44:30 subscription models. One is uh Gemini
1:44:34 Pro, which is 25 bucks a month. If you
1:44:38 get
1:44:39 that, you basically get to try VO3, you
1:44:43 get I think 900 credits
1:44:46 or,00 credits.
1:44:49 It's not many because making one V3
1:44:52 movie is a hundred credits. So for 25
1:44:55 bucks a month, you get like 10 10 or 11
1:44:59 videos, you know, in a
1:45:02 month. The the Ultra plan is $2.49 a
1:45:08 month, but if you subscribe now, they're
1:45:11 doing three months
1:45:13 forundred half that
1:45:15 125. I think it's
1:45:19 125. Oh, pro is free for a month and
1:45:22 then ultra is half price for three
1:45:24 months. So, I just subscribed to the
1:45:27 half price. And for ultra you, you get
1:45:29 12,500 credits. So, it's, you know, a
1:45:32 100 per video. So, it's it's a decent
1:45:34 amount of videos, but it's like it's not
1:45:36 a huge amount of videos. It's like, you
1:45:39 know, like a hundred hundred clips.
1:45:41 Like, you can you can burn through those
1:45:43 really quick. If you're doing a project,
1:45:45 you're going to burn through those very
1:45:46 quick. That
1:45:49 said, if you want to produce something
1:45:51 good with a camera and crews and actors
1:45:55 and, you know, all that sort of stuff,
1:45:58 it's going to cost you way more than 500
1:45:59 bucks. So, anyway, um, so that's that.
1:46:05 All right, let me get out of here. Um, I
1:46:08 think V3 is a big [ __ ] deal.
1:46:12 Um, and it's just like everybody knows
1:46:15 how complicated films are to make. I
1:46:17 also I also look at that
1:46:20 um, you know, the flow TV.
1:46:24 Um, you know, if you're old enough,
1:46:27 think back to the early days of MTV
1:46:30 where, you know, when people first
1:46:32 started putting out music videos,
1:46:33 everyone was like, "What's this
1:46:35 nonsense? What's this malarkey?"
1:46:38 Nobody wants to watch five minute videos
1:46:40 of some band walking around a
1:46:44 pond, but they did, right? It's going to
1:46:48 be the same thing. You're going to
1:46:50 you're going to have film making stars
1:46:52 emerge out of out of this class of VO
1:46:55 people. Yeah. Video VO killed the radio
1:46:58 star. VO killed the video star. Um Yeah.
1:47:03 And uh filmmakers are going to be
1:47:06 pissed. It's I'm telling you, every
1:47:09 profession it's gonna you're gonna have
1:47:10 those three things. You're gonna have
1:47:12 people that ignore it and they're going
1:47:13 to get decimated. You're gonna have
1:47:15 people that deal with it and they're
1:47:16 going to be fine and they're going to
1:47:18 find new ways to express themselves. And
1:47:20 then you're going to have a lot of
1:47:22 people who emerge as
1:47:26 stars of an
1:47:28 industry they didn't earn their stripes
1:47:31 in. Can you imagine being a 30-year
1:47:34 filmmaker? Like a journeyman filmmaker
1:47:37 just about to get a directing gig and
1:47:41 Joy Perie comes along. 30 years as a
1:47:44 sleep
1:47:46 analyst and gets a movie produced and
1:47:48 distributed by Paramount and it wins a
1:47:50 [ __ ]
1:47:52 Oscar. You don't you don't think that
1:47:54 guy's gonna be pissed? They're gonna be
1:47:57 pissed. But it's gonna happen. So, it's
1:48:01 crazy. Just crazy. All right, I'm gonna
1:48:03 get out of here. Oh, Joy Perty's here.
1:48:05 Good. I I was hoping she was here. Yeah,
1:48:07 exactly. She's like, "Yay, I'm gonna win
1:48:09 an
1:48:10 Oscar. Go, go make that kind of film."
1:48:12 And you will. You know, this is and and
1:48:16 you mark my words, they're going to have
1:48:18 the initial um push back from the
1:48:22 academy is, you know, no AI films are
1:48:25 allowed in. that won't last long
1:48:27 because, you know, producers are going
1:48:28 to be, you know, fighting to bring it
1:48:31 in. And then you're gonna have a special
1:48:33 category of AI films right off to the
1:48:37 side. You know, it'll be it'll be, you
1:48:39 know, the daytime Oscars where it's
1:48:42 like, you know, there's 60 people in the
1:48:44 room and and they're the ones that are
1:48:46 shunned by the real industry and then
1:48:49 five years from now it'll all be AI. you
1:48:52 know that it it will you will not be
1:48:54 able to tell the difference
1:48:56 between live action and AI and so and
1:48:59 live action will be increasingly niche.
1:49:01 What what may end up happening
1:49:03 is all films will be AI films and then
1:49:06 they'll have special niche categories
1:49:09 for human
1:49:11 films with a whole set of
1:49:15 rules. So crazy. Oh wow. Rick Rick
1:49:19 McCauley watched watched uh Flow TV for
1:49:23 three hours last night. That's
1:49:26 amazing. That's
1:49:28 amazing. All right, cool. All right,
1:49:31 everyone. Always fun. Thanks, Kyle. Good
1:49:33 night, everyone. Good night, everybody.
1:49:34 All right, I'm going to get out of here.
1:49:38 Um what's today?
1:49:41 Tuesday. I'll see you tomorrow night at
1:49:43 8.
1:49:45 um 400 p.m. Mountain time, 3:00 p.m.
1:49:47 Pacific, 6:00 p.m. Eastern. AI Readiness
1:49:51 Project
1:49:52 podcast. Be there for that. Uh you can
1:49:54 go to aire readiness
1:49:57 project.com to learn where to watch all
1:50:00 that stuff. All
1:50:03 right. Toy Story Animation wasn't
1:50:08 allowed. the now the NO the new
1:50:13 something award. Yeah, I don't know what
1:50:15 that is, but yeah, exactly. Cheers.
1:50:17 Cheers, Rick. Thanks for coming and
1:50:18 thanks thanks for reminding me about
1:50:20 Flow TV because Yeah, it's it's really
1:50:21 good. It's really amazing. All right,
1:50:23 everyone. I'm out of here. Peace out.
1:50:26 Have a good night, everybody.
1:50:29 [Music]