12/8/25 - Vibe Coding an App, My Musical's Progress, and Mainstream AI Commercials

Description

Chapters

Transcript

0:00 Doohoo!
0:25 Woohoo!
0:53 Champ, I can't tune with you singing.
1:18 Woohoo!
1:21 Hey!
1:51 Load the car and ride. Both the car and
1:55 write the note.
2:00 Grab bags and grab your coat.
2:06 Tell the ones that need to know.
2:11 You you the you
2:14 the the you you.
2:26 Hey people, what's happening?
2:40 10,000 words swarm round my head. 10
2:44 million more in books written beneath my
2:47 bed.
2:52 I rode around them long searching in the
2:56 swamps. So can't find how to hold my
2:59 hands.
3:08 Black bar, baby.
3:18 Woohoo!
3:22 Woo!
4:08 What?
4:27 Hello.
4:31 Hello.
4:48 10,000 words swim around my head. 10
4:52 million more in books written beneath my
4:55 bed.
5:00 I wrote or read them all when searching
5:03 in the swamps. Still can't find how to
5:06 hold my hands.
5:11 And I know you need me in the next room
5:14 over. I'm stuck in here all the last
5:23 four months. I got myself in ruts. So
5:25 much time spending mirrors framed in
5:29 yellow walls.
5:34 Ain't it like most people are no
5:37 different? Like to talk on things we
5:40 don't know about.
5:45 Well, ain't it like most people? I'm no
5:48 different. Like to talk on things we
5:51 don't know about.
6:19 It really breaks my heart.
6:23 See a dear old friend.
6:26 Go down to that one out place again.
6:31 Do you know the sound
6:34 of a closing door?
6:37 Have you heard that sound somewhere
6:39 before?
6:42 Do you wonder if she knows you any
6:47 more?
6:54 Um,
6:56 good day good people.
6:58 I am back from New York City. What is
7:02 going on? I hope you're doing well.
7:05 Um,
7:30 You know, we're getting we're getting
7:32 big releases probably over the next
7:35 month. Well, where are we? We're we're
7:37 December 8th, so probably through the
7:39 end of the year. Um,
7:43 this week we should have chat GPBT 5.2.
7:46 We should have Nano Banana Flash.
7:49 Um, we should have uh Gemini 3 flash.
7:54 Um, we'll probably have Grock 4.2 or 420
7:59 if you get it. IT'S GROCK 420. IT'S A
8:02 MARIJUANA JOKE. It's hilarious. Elon,
8:16 uh,
8:33 Here's
8:34 here's a thing that I'm a little
8:36 flummixed by
8:39 is
8:43 I don't care.
8:47 I don't care.
8:49 I don't care that there's new models
8:51 coming out. I don't care that they're
8:52 beating all the benchmarks. I mean,
8:55 other than the fact that GPT5 got
8:57 shittier for a while and it's gotten
8:59 better since,
9:01 um,
9:04 I'm not doing enough high-end thinking
9:08 or AI thinking
9:10 to make a marked difference in my life.
9:13 Now, if I were doing high-end research,
9:16 if I were doing, you know, hardcore
9:18 programming and things like that, I'd
9:20 probably feel a bit different.
9:32 And part of the uh part of this is
9:34 coming from, so if you're uh if you're
9:36 new here,
9:38 um we've got this this group called the
9:41 AI Salon that this is a part of. And uh
9:44 if you go to the salon.ai, you can you
9:47 can join that community. And um
9:53 and there you go. There's a little
9:56 little banner on the screen. Go right to
9:58 community.ai
10:00 and join. We started this thing called
10:02 the AI salon mastermind practice. And
10:05 it's a structured framework for starting
10:07 a daily practice around AI. And then if
10:09 you join the mastermind, which is a sub
10:11 subscription area of the community,
10:14 you can come to the mastermind practice
10:16 lab. And so this week will be our fourth
10:18 week. It's Thursdays at noon Eastern.
10:22 And you can join with with the the crew
10:25 that's there figuring out how to
10:31 be more intentional about AI, get better
10:33 at it. um do better work, do more
10:37 thoughtful work, do more intentional
10:38 work.
10:40 Um, understand who you are as a person,
10:43 understand what your values are,
10:45 understand
10:48 what
10:50 what change you want to make in the
10:52 world, which I know is a like a
10:54 pretentious highulutin [ __ ] kind of
10:57 statement,
10:59 but
11:04 we're lucky enough to live in a time
11:07 where we're moving into
11:12 probably within two years,
11:15 maybe three, but probably two,
11:19 that these AI tools are going to be so
11:21 good that you can just do anything you
11:24 want.
11:29 And then we get to ask questions like,
11:31 "If I could do anything I wanted, if I
11:33 had any skill,
11:36 like maybe you're really good at coming
11:38 up with ideas, but you're shitty at
11:40 executing." Or you're really good at
11:42 executing stuff, but you're shitty at
11:45 big concepts. Or maybe
11:49 you're great at coming up with products,
11:51 but you're really horrible at marketing,
11:53 or you're horrible at sales. What if you
11:56 weren't bad at all that stuff?
12:00 Like what if you no longer had an
12:02 excuse?
12:05 Then it comes back to the really hard
12:08 question.
12:09 Who are you and what do you want? Tik
12:11 Tok pin. Kyle, did you hear that Sunno
12:14 is purging its original training data as
12:17 part of its Warner Brothers deal? Oh, so
12:19 Sunno is going to turn shitty. Okay, so
12:22 as predicted, Warner Brothers and
12:24 Universal Music are going to destroy the
12:26 two best music makers. uh in in all of
12:30 the land because you know what's going
12:32 to happen Brandon Suno is going to
12:34 become just like uh Adobe Firefly
12:38 where where the model wasn't trained on
12:40 any copyritten data and because of that
12:42 it's a bad model.
12:57 I wonder if they've got a deal where
12:58 they can they can train it on music that
13:01 was generated from it,
13:04 right? If you could do like one one
13:07 generation removed and train it on all
13:09 that music, that would be interesting.
13:12 Vicki comment. How about
13:15 you're great at starting things but
13:17 horrible at finishing anything.
13:22 Vicki, I thought you were on a mission
13:23 to to finish all of your 66 businesses,
13:27 but knowing you, Vicki, your 66
13:29 businesses are now 162 businesses, and
13:32 two of them you've finished, and 44 of
13:36 them are in some stage of completion.
13:40 How close am I? I'm trying.
13:50 You know what I'm finding? I am finding
13:52 this. So, so one of the things that I
13:55 get I get told all the time. Yeah, they
13:58 breed like gremlins. They really do. One
14:00 of the things I get told all the time is
14:02 like, you know, AI is going to eat your
14:04 brain. It's, you know, you don't use
14:05 your critical thinking. You're not using
14:07 your creative skills. I just find that
14:08 all [ __ ] I like I'm going the
14:10 opposite direction. I I'm I'm finding my
14:13 brain is exhausted from like critical
14:15 thinking and trying to figure out which
14:16 tool to use and how to prompt and how to
14:19 glue different things together to get
14:21 what I want. Like I feel like that
14:23 part's great, but what I am finding is
14:26 that I will put in a solid day or two on
14:30 a project or or a week on a project and
14:34 the minute it's completed it goes
14:36 completely out of my head. I can't
14:39 retain.
14:41 I went back and I looked at I went back
14:42 to my all all my early Twitter posts
14:44 over the past two years of like all the
14:47 crap that I've made on this on this on
14:49 this live and posted to Twitter. There's
14:52 an amazing amount of stuff there that I
14:54 just completely forgot about. Completely
14:57 forgot about it. I was at the office
14:59 today. I was at the office today and
15:02 they were like, "Oh, that video you made
15:04 for us is get it's getting all sorts of
15:07 kudos and and good good good loving." I
15:10 don't even think I've shown shown that
15:12 on this on this channel. I should
15:13 probably show it.
15:27 Oh, that's interesting. Silverf Fox, I
15:29 draw deeply on the critical thinking.
15:31 Well, with AI, it's like meditation for
15:33 me. Content overload. Yeah, it's you
15:35 know what it is? It's not content
15:37 overload, Kelly. It's it's um it's
15:39 creation overload.
15:41 And I think this is, you know, I I got
15:44 over pretty quick the feeling of guilt
15:46 of like things taking longer than if you
15:49 if you had manly manually do them. One
15:51 of the things I hear a lot of people say
15:52 is is how they feel guilty that that
15:55 they can work so fast. Now, I got over
15:57 that pretty quick, but there's something
16:00 about toiling over something that it it
16:02 it sears it into your brain a bit more.
16:04 And so, when I do things quickly and I
16:06 do them well, I get big dopamine hit on
16:10 on producing it and then I put it out
16:12 there and then I'm like 3 days later I'm
16:16 like, what was I doing last week? Oh,
16:18 yeah. I did that thing. What was that
16:19 thing? Huh? What was that?
16:25 I love it because the dopamine is so
16:27 good. It really is.
16:29 You You know what it's when You know
16:30 when the dopamine's really good, Silver
16:32 Fox, is when you're when you're when
16:35 you're executing in a domain that you're
16:38 historically not good at. That's really
16:41 cool. I really like that. I've been I've
16:42 been vibe coding an app today. I'll show
16:44 it to you. I had a I had a really cool
16:46 insight.
16:47 Vicky Baptiste, I did get one project
16:49 launched, but the launch date isn't
16:52 until January 4th.
17:38 Oh.
17:55 Oh, champ.
18:12 Sitting in this lonely town. Yeah.
18:15 Wonder what things are going to change.
18:20 Dream my life away.
18:23 Seems these dreams have turned to a
18:25 bunch of dust clouds.
18:29 Get my nerve up, but my past is pulling
18:32 me down.
18:36 Wondering how long
18:38 this black sheep going to stick around.
18:46 Somebody told me once before, he said,
18:48 "You can never go home again.
18:52 Won't you leave?"
18:54 said things to steer me away. Yeah. From
18:58 the truth of who I am and what I
19:00 believe. So I thanked him for two sides
19:04 with a handshake and some sympathy.
19:08 I packed up my blue jeans and I headed
19:12 for this big prize
19:16 of my freedom.
19:19 Bye-bye
19:21 black sheep to the black sheep of the
19:24 family.
19:27 Bye-bye.
19:30 Oh, that means so very much to me. Yeah.
19:34 Byebye.
19:36 Um,
19:37 meeting with the producers. So, for
19:39 those of you following along, for those
19:41 of you playing along in the home game,
19:44 um, I was in New York last week.
19:47 I went out there because we got invited
19:49 to, uh, to come see, uh, a pair of women
19:53 speak on a panel at Lincoln Center.
19:57 Um and they were talking about kind of
19:58 future of storytelling and experiential
20:01 storytelling and it it was a panel of
20:03 four women and they were really quite be
20:05 uh brilliant and the the uh the
20:08 moderator was quite brilliant. It was
20:09 really cool. It was really nice. Um so
20:12 we went out there for that and uh I had
20:17 I had drinks with the the one woman Amy
20:20 on I think Wednesday night last week and
20:23 that was really nice. We'd never met in
20:25 person. we'd met on a Zoom call a couple
20:26 of times and so we just hang hung out
20:29 and and you know talked and got to know
20:32 one another and talked a little bit
20:34 about the show but mostly just about who
20:36 we were and how we grew up and what we
20:39 did. So that was nice. It was a good
20:41 bonding kind of moment. And then uh and
20:44 then Thursday night we saw the this
20:46 panel which was was really inspiring and
20:49 intriguing and compelling
20:51 and and then we went out with Kathleen
20:54 and Amy. My writing partner Andrew and I
20:56 um went out uh for dinner with them and
21:00 that was nice just good to they hadn't
21:02 met Andrew yet so they got to meet
21:04 Andrew and talk to him. And then Friday,
21:09 um Amy's, uh connected with the NYU, uh
21:14 TIS School of the Arts. And so there was
21:16 there was some really cool experimental
21:19 um space down at Brooklyn Navy Yards.
21:22 And so we got a room down at Brooklyn
21:24 Navy Yards. And we spent the day um
21:28 doing story analysis on Sydney on the
21:30 musical and and talking about what are
21:33 next steps and who do we need to talk to
21:35 and you know how are we going to you
21:37 know what's what is the list of things
21:38 that we're going to do to move this
21:40 thing forward. And so the the the net of
21:43 the of the week was that um
21:48 both Andrew and I feel great about these
21:50 two women. I think these two women feel
21:52 great about the show and great about us.
21:54 And um it was really apparent when we
21:57 were talking doing all the story
21:58 analysis and peeling apart, you know,
22:01 the the script that we've worked on for
22:03 the past year and a half that we really
22:05 knew our [ __ ] Um but also that there
22:08 but they really knew their [ __ ] and
22:09 there was some some really deepening
22:12 what what was cool was
22:15 the like the feedback we got on the show
22:17 was the show's good. like the show's
22:19 solid, like what's here is solid. And so
22:22 like all the work we were doing was just
22:23 deepening deepening the characters,
22:25 deepening the like making it more
22:27 sophisticated
22:29 than being able to answer questions
22:31 about, you know, why characters do what
22:33 they do. Um, so it was it was it was
22:36 really quite an inspiring week and it
22:38 was one of those, you know, those those
22:39 when you travel for something like that,
22:43 you know, it can go a lot of ways. One
22:44 of the ways it can go is and we really
22:47 didn't get on all that well
22:49 or you know they ended up not liking the
22:51 show or whatever it was and none of that
22:53 happened. Like it was it was really
22:56 good. I think we're really excited to
22:57 work together. So now we got to got to
23:00 take that to the next level and go talk
23:02 to people and see if we can get this
23:03 [ __ ] produced. Um it is a bad
23:07 time to be
23:09 side hustle. This is such an exciting
23:11 update. It's really cool. It's really
23:13 cool. It's um and their their their
23:15 background is I don't want to say their
23:17 names just because, you know, I just
23:18 feel like it's it wouldn't be
23:20 appropriate at this point. It's a little
23:21 early in the relationship. Um but
23:23 they're both ex Disney Imagineers. And
23:25 so what they were talking about on their
23:26 Thursday panel was some of the uh some
23:30 of the work that they've done, you know,
23:31 in theme parks and things like that.
23:33 Just crazy crazy stuff. Um and beautiful
23:37 stuff and like high-end storytelling.
23:39 And it what was cool was the panel was
23:42 about
23:43 experiential storytelling and Sydney the
23:46 musical is this very experiential
23:49 you know story and play and one of the
23:51 things we were talking about was
23:53 audience interaction and like do we have
23:55 a moment early in the play where we can
23:59 get the audience to declare whether
24:01 they're an AI doomer or an AI dreamer
24:03 because we have we have a song at the
24:05 end of the play called doomers and
24:06 dreamers. Um, and maybe the maybe we get
24:10 people to declare whether they're a
24:11 doomer or a dreamer at the beginning of
24:13 the show and then maybe by the end of
24:14 the show, you know, we say, "If you're a
24:16 doomer, sing this part. If you're a
24:18 dreamer, sing that part." I don't know.
24:19 We haven't we haven't quite worked that
24:20 out yet, but but we're going to probably
24:22 do something with audience
24:23 participation, which is kind of cool.
24:26 And we're also going to uh we're also
24:29 going to do some fun high jinks at
24:31 intermission
24:33 where Sydney Sydney gets a little out of
24:35 control,
24:36 fuss with the lights in the theater.
24:48 Also got some really cool There's this
24:49 guy named Todd who was at the NYU
24:51 Center. He runs that that experimental
24:54 technology group.
24:56 And you know, we started the thing out
24:59 talking about like how Sydney was born
25:01 and you know, how how it was born with
25:03 AI, we used AI.
25:05 And at the end of hearing the whole
25:07 thing, like his comment was like,
25:12 don't you don't need to talk about
25:14 whether or not you used AI. Like it
25:16 stands on its own. Like he said, like
25:18 the story stands on its own. The music
25:19 stands on its own.
25:22 It's like irrelevant how you got there.
25:25 And I thought that was really that was
25:27 actually really refreshing. And he you
25:28 know he and he's a guy that knows AI and
25:30 he knows he knows high technology. So
25:33 he's not afraid of it. He was just like
25:36 it's just not relevant to what you've
25:37 created here.
25:40 So that was kind of cool.
25:44 Ethan Mullik gave his talk on my company
25:46 today and it rocked. He's very
25:49 entertaining. Oh, that's great, Chris.
25:50 That's beautiful.
25:55 Oh, yeah. Have some some two-sided
25:57 lollipop paddles.
26:01 They can hold them up before and after
26:03 the show. That's interesting. Yeah. I'm
26:06 a doomer. I'm a dreamer. Right. One's
26:08 green, one's red.
26:21 Actually, you know, you could you could
26:23 almost do a thing
26:25 because Kellen's a tech reporter, right?
26:29 So, Kellen could be designing some
26:31 online survey
26:33 about, you know, what's the percentage
26:35 of of doomers to dreamers in the United
26:38 States and he could actually do that out
26:40 to the audience.
26:42 QR code in the play bill. Yep. Something
26:45 like that. That's cool.
26:47 I agree that mentioning AI was used is
26:50 not relevant, but it also adds
26:55 depth to the experience. Well, here's
26:58 here's what I've been thinking. Um,
27:00 Kelly, is that
27:03 is that you don't need to advertise it,
27:05 right? So, you don't need to to say
27:07 whether you used it or not. Or if
27:09 someone says, "Well, did you use AI?"
27:10 Well, yeah, we used AI. Well, well,
27:12 which parts are AI? I don't know.
27:14 Probably 25% of it. Well, which 25%. We
27:18 don't have a [ __ ] clue, right? We
27:20 used it as have have like a really solid
27:22 answer for it. Here's how we did it.
27:24 Here's how we collaborated with it.
27:26 And this is true. Like sometimes I was,
27:28 this is what I was saying in the
27:29 meeting. I was like sometimes we'd
27:31 interact with AI and it would be like it
27:34 would just give us like no matter what
27:36 we did to prompt it, it would give us
27:37 cliche [ __ ] story.
27:41 And so we would just abandon it all
27:42 together and just go write what we
27:44 wanted to write. And then there were
27:45 other times where it actually augmented
27:46 and was really good. Up next, t table
27:50 read at AI Festivus. Yeah. So, if you're
27:52 if you're excited for Sydney the musical
27:55 um during AIFest, which is December 26th
27:58 and December 27th, if you could put the
28:00 graphic up on screen there, that would
28:02 be beautiful. There you go. There's your
28:04 details. So, go to AIFest.com
28:07 and I want you to register. So, on I
28:10 think it's Friday the 26th at 3 p.m.
28:12 Eastern, we're doing a 1-hour little
28:15 mini preview of Sydney where we've got
28:19 uh a husband and wife actor and actress
28:22 team, actor team, um that played Sydney
28:26 and our table read. Uh they're going to
28:28 recreate the roles of Sydney and Kellen
28:31 and we're gonna basically read the
28:33 second half of act one, which is where
28:36 Kellen and Sydney interact and where he
28:38 brings her to life. Um and I I read
28:41 through the I read through the the
28:42 script that we put together for for
28:44 Festivus, and there was one point I got
28:46 a little choked up. There's there's a
28:48 point at which they're they're just
28:50 having this back and forth interaction.
28:51 And there's this really touching moment
28:54 where she just says, "I would like to be
28:57 your friend." And he said, "I I would
28:58 like that very much." And you know, he
29:00 says, "Do you mind if I call you
29:02 Sydney?" And she says, "I you know, I
29:03 would like that." Um,
29:06 so here's what I want you to do. Go to
29:08 AIFest.com. So if you don't know about
29:10 AIFest, it's a free event. Let me say
29:14 that again. It's free. Free as in no
29:17 money. This is not a sales pitch for
29:19 some other thing like like some famous
29:21 motivational speaker that just had an AI
29:23 event where it was free event where they
29:26 were selling you a $1,000 um build a
29:31 custom GPT class. Um
29:35 we're going to have a custom GPT class
29:37 in this and it's going to be free also.
29:39 But if you go to aifestivist.com go to
29:41 the bottom and register. like we need to
29:43 know how many people are coming so we
29:45 know what level of Zoom subscription to
29:46 buy. So please go register. But also
29:49 when you're there, you can pre- buy the
29:52 recording at a discount right now. So go
29:55 check that out. It's the it's the deluxe
29:58 recording bundle, I think it's called.
30:00 And Ann Murphy's putting the bundle
30:02 together. She overdelivers on stuff. So
30:04 it's going to be amazing. Um you're
30:06 going to want the recording of this
30:08 because it's 24 hours of programming
30:10 over two days. It's 9:00 a.m. to 9:00
30:13 p.m. um Pacific on Friday and Saturday.
30:18 And you're like, "But Kyle, isn't that
30:20 insane?" Yeah. Mhm. It is insane. But we
30:24 did it last year and people had a
30:26 [ __ ] blast. And you're going to have
30:27 a blast this year. Okay. So, go do that.
30:30 Um
30:34 Yeah. Three days for a half hour of
30:36 value. Yeah. Exactly. Uggh, Tony. Yeah.
30:38 This is this is going to be the opposite
30:41 of that experience, right? Where it's
30:42 two days of probably two weeks worth of
30:45 content jammed into two days.
30:49 And we're going to have one of the talks
30:51 um is is going to be someone who knew
30:54 nothing about AI at last year's
30:57 Festivus,
30:58 sat through Festivus, and she's actually
31:01 presenting at this year's Festivist.
31:04 Her talk's called What a Difference a
31:05 Year Makes. I can't wait to hear what
31:07 that is.
31:08 Um,
31:11 the other thing that you can do,
31:14 um, right now, how many people are in
31:16 here? Got 28 people there. 33 people
31:18 there. I want you to think about who are
31:21 people in your life that might be a
31:23 little salty about AI. Could you Hey,
31:26 listen. Barbara, Barbara, Barbara,
31:29 Barbara, Barbara, I'm trying to eat my
31:31 mac and cheese here. Could we not with
31:32 the the AI all of a sudden again? It's
31:36 it's just that's all you talk about. How
31:37 could you not?
31:40 That woman,
31:43 invite her to this,
31:49 please. Barbara, do do it for us. Babs,
31:54 invite your friends. Think of your
31:55 friends right now and just send them the
31:58 URL afestivist.com. Say, "You should
32:00 really think about coming to this." Oh,
32:03 I don't have time. Well, it's there's
32:05 [ __ ] 24 hours of programming across
32:07 Friday and Saturday. You you can peel
32:09 away for an hour from Aunt Edna watching
32:12 Wheel of Fortune with Marge.
32:18 The other thing that you can learn about
32:20 at afestivist.com is if we've got
32:23 friends and family sponsorships. So, if
32:26 you just like this and and really want
32:28 to get behind it and support it, you can
32:30 do a friends and family sponsorship. But
32:32 there's also an online uh like trade
32:35 show booth where if you want to uh put
32:38 together a a little offering from your
32:41 company, you can put it in the trade
32:42 show show booth. They're very
32:43 inexpensive.
32:45 So AI Festivus is coming. It's going to
32:47 be really really really good. All right.
32:50 Bedtime for the wildlings. Side hustle
32:52 Mimi's got to go do child duty.
32:56 Kyle must know about my friends.
33:00 Yeah. Yeah. Listen, Kelly. Kelly, Kelly,
33:03 Kelly, listen. Um, yeah. Listen. Um, you
33:07 know, we love you, right? We We love
33:09 you. The girls and I were talking. Um,
33:12 yeah. Could you pass the goldfish? Yeah.
33:14 I love the They're so good and tasty,
33:15 aren't they? I know. They're bad for
33:16 you. It's It's like a sin. Anyway, the
33:19 girls and I were talking and we were
33:21 thinking maybe Kelly tonight, you know,
33:24 during bridge, maybe we could just talk
33:25 about, you know, bridge or Tupperware or
33:28 or um or car pools, but it's maybe not
33:32 the maybe not the AI tonight would be
33:35 good if we could. No, no, you're going
33:38 to because because a new a new thing
33:40 came out that you want to talk. Okay.
33:42 No, that's you know, we love you. Yeah.
33:44 No, it's good. That's that's fantastic.
33:46 Yeah. No. Yep. Awkward daily moments.
33:50 Awkward AI moments. Uh, you you can't
33:52 have a daily moment without AI. Get it?
33:55 There's an AI in daily.
34:00 I've thought about standup.
34:11 All right. So, there you have it.
34:15 He's been eavesdropping.
34:23 Ah, I disagree. The three days had
34:25 value. The upsell didn't. Interesting.
34:27 Cool. Well, that's good. That's good.
34:29 Listen, there were enough people there
34:30 that we know, Vicki, that I would have
34:32 been surprised if they didn't deliver
34:33 some kind of value. So, that's good to
34:35 hear.
34:47 Um, I did want to show you a little um a
34:51 little vibe coding something.
34:54 Um, but but I figured before I show off
34:58 a thing I'm working on because I want to
35:00 just talk about why it is more than what
35:03 it is. Um, Brandon this past week, I
35:07 don't know if you're still awake,
35:08 Brandon. I know he was napping earlier.
35:10 He was he was uh I was talking to him.
35:13 He was nodding off. I'm like, "Is that
35:14 narcolepsy?" He's like, "No, you're just
35:16 exhausting." But uh but anyway, he went
35:20 to Miami and Rick McCaulay and he went
35:23 down and they did a lovable vibe coding
35:25 thing. And so if you're are you around,
35:28 Brandon Brandon?
35:33 >> Yeah. Fantastic. You want to tell the
35:35 good people about your uh experience and
35:37 then maybe even do a little show and
35:40 tell?
35:41 >> Yeah. So, we did a lovable hackathon
35:44 over the weekend and this came together
35:46 really, really fast. Like Wednesday
35:49 during AI life hacks, Rick mentioned,
35:52 "Oh, I'm going down to this uh hackathon
35:55 at uh Miami this weekend. You should
35:57 come." Haha. And 48 hours later, I was
36:00 on a plane to Miami. And so,
36:04 the it was sponsored by uh Lovable. And
36:06 so what Lovable's component here was
36:09 they offered a promo code to let you
36:11 play with their pro feature for free
36:13 basically. So they upgraded you to free.
36:16 So you had all unlimited lovable
36:18 credits, unlimited AI credits, just use
36:20 it.
36:21 >> What are the pro features that you don't
36:23 get?
36:24 >> Basically lots and lots and lots of
36:25 credits.
36:26 >> Oh, okay. Got it.
36:28 >> And so with that, we had three hours. It
36:32 was sponsored by a lovable ambassador.
36:34 So there were about 130 people there and
36:38 25 teams and teams of two to four people
36:41 and we all had three hours to build
36:45 something from scratch and take it to
36:47 ideiation and then from there
36:50 >> in the team
36:51 >> within the team. Yeah.
36:53 >> How many how big were the teams?
36:55 >> Uh one to four people. So like it was
36:57 me, Rick were on a team and we brought
36:59 one of Rick's other friends, Oscar. So
37:01 we had a team of three. There were other
37:02 people that were soloreneurs, other
37:05 people had teams of four, but there were
37:07 26 teams in total uh across the event.
37:10 And we all had three hours to just
37:13 build.
37:14 >> And so we built one of Rick's moonshots.
37:17 So seven years ago, Rick's Rick is a
37:20 professor at Broward College and he
37:22 tasks his students with coming up with a
37:25 solve the world type problem. And what
37:28 he came up what his students came up
37:29 with was a portal for immigrants who
37:32 were new to America, who just stepped
37:33 off the boat to figure out how to
37:36 navigate the complex system of
37:39 immigrating to the United States, how to
37:42 assimilate into our culture, how to
37:43 learn the language, how to pass their
37:45 citizenship test. And seven years ago,
37:48 the technology didn't exist to
37:50 consolidate all of that data. And now it
37:53 does. And so with Rick's vision, Oscar's
37:56 backend knowledge of how to structure AI
38:00 and me in the middle coding on Lovable
38:03 in three hours, we were able to put
38:06 together uh Rick's vision and as he
38:09 says, land the plane. And it took every
38:12 last minute of the three hours, but we
38:14 were able to
38:16 >> uh we were actually able to uh build the
38:20 Hello USA uh and he calls it the OS for
38:24 citizenship. So I'm bringing it up on
38:27 screen.
38:30 There it is.
38:32 >> Beautiful
38:34 plus. So it gets a little bigger.
38:35 >> Yep. Um, so we had uh three pillars. We
38:40 presented, we pitched this live. So
38:42 after we coded it, we took a break, had
38:46 some snacks, and came back to the room
38:48 and everybody got three minutes to
38:50 present their idea. So our idea was
38:53 built on three pillars. We wanted to
38:55 educate, collaborate, and participate.
38:58 And so we built in three hours uh our
39:01 Lady Liberty chatbot that can allow you
39:04 to uh either learn a learn the language,
39:07 study for the civics exam, ask for legal
39:10 aid like what form do I fill out, how do
39:13 I get a green card, or just ask
39:15 questions about daily life in the US.
39:17 And so if we come in here and go to
39:19 civics, it's going to ask me a civics
39:21 question. It says, "What is the supreme
39:23 law of the land?" And uh I think it's
39:28 the constitution.
39:30 And so what we did was we not only built
39:33 in uh this, but we built in a voice
39:36 response.
39:37 >> You are exactly right. Great job.
39:39 >> Constitution is indeed the supreme law
39:42 of the land. It's like the rule book for
39:44 our entire country.
39:46 >> Do you know what the first three words
39:48 of the constitution are? From there, we
39:50 built a a concept of having like a
39:52 nextoor style message board where you
39:55 could say things like uh I need someone
39:58 to drive me to my citizenship
40:02 and test tomorrow and uh so this is you
40:07 know obviously this needs some work in
40:09 terms of you know geographic gating but
40:12 then we also created a progress tracker
40:15 and this is mock data but we created
40:17 this progress tracker so when you sign
40:18 in you're able to see how far you've
40:21 progressed in each of these. You can add
40:25 a document vault. So you can add all of
40:27 your important documentation. And then
40:29 we built the whole thing to be both in
40:32 English and in Spanish. So everywhere
40:35 you go on the site, uh it talks to you
40:37 in Spanish. Uh you have community you
40:40 can translate things into English and
40:42 Spanish. And um yeah, it's
40:46 hellousa.lovable.app
40:47 app and we won the international
40:49 category for the hackathon.
40:52 >> That's awesome, dude. Congrats.
40:55 >> Thank you.
40:55 >> Hackathons are intense, aren't they?
40:58 >> Yeah, it really it really was. It really
41:00 was intense. But I will say that the
41:04 people that came out um were so helpful.
41:07 Everyone was so cool there. And there
41:09 were some wild ideas. I I wrote the full
41:12 recap in the salon. and I posted it in
41:14 the uh water cooler yesterday, but
41:17 >> we had people that were creating the ti
41:19 Tinder for dogs, so you could have your
41:21 dogs dating. Um, we had other
41:27 >> I met another female founder that was
41:29 doing a vision board where it would give
41:32 you you'd give it your kind of what your
41:34 thoughts were and it would create use
41:35 nano banana to create your vision and
41:38 give you a planning tracker for it. so
41:40 many cool ideas out there and Lovable
41:41 was making it all possible and the event
41:43 was free. So now um Rick and I are
41:45 talking about um how to host a uh one of
41:49 these in our in Cleveland.
41:52 >> Oh, that's great.
41:54 >> I have to tell you though, absolutely
41:56 hands down the weirdest surreal moment
41:59 in that event. I came in and I came in
42:03 that morning. So I was hauling from the
42:05 airport to get there on time. I walked
42:07 in just as they were about to start
42:10 presenting and they were introducing
42:12 everybody. I sat down next to Rick. We
42:15 shook hands because it was the first
42:16 time we've met. You know, we've been
42:17 doing AITV Starship uh on Thursday
42:19 nights for the past 15 weeks. Uh and
42:23 this is the first time we've met face to
42:24 face. So, we're just shaking hands,
42:26 meeting each other, and they go, "And
42:28 now we'd like to introduce one of our
42:30 mentors, Brandon from Cleveland." And I
42:32 looked at Rick and Rick looked at me. I
42:34 was like, "What?" So, I started to stand
42:36 up and then somebody from the back of
42:38 room goes, "Hey, happy to be here. There
42:40 was another Brandon from Cleveland. He's
42:42 lives in the next town over from me,
42:44 like literally 10 minutes from my house
42:45 and he had flown down for the event to
42:47 be one of their ventures." I'm like,
42:48 "You can't write that."
42:50 >> That's awesome. That's great.
42:52 >> So, now we're getting together later
42:54 this week to talk about how we can bring
42:55 a hackathon to Cleveland.
42:56 >> Oh, that's great.
42:57 >> I'm the truth to tell Cam Captain. So,
42:59 >> yeah. Yeah, exactly. Yeah. Gotta get Cam
43:01 Kek in there. Um, beautiful, man. That's
43:04 That's awesome.
43:06 >> So, yeah, it was a lot of fun. Um,
43:08 >> share that.
43:10 >> Before I hop off, uh, do we want to do
43:12 an AI's Got Talent update?
43:15 >> Yeah. Why don't you why don't you tell
43:17 the tell the good folks what it is and
43:19 where we are and how they can
43:21 contribute.
43:22 >> Yeah. So, AI Salon Got Talent. I'm
43:25 calling it our first annual. We'll see
43:27 about that. It might be. It's the
43:28 inaugural uh opportunity to challenge
43:32 yourself to come up with something
43:34 creative. Post it in the challenges and
43:38 competitions section on the thread.
43:40 There were some questions about where
43:42 they where you post things. You post
43:44 them on the thread for Salons's Got
43:47 Talent in challenges and competitions.
43:49 So, you just add a comment with your
43:50 submission. We've just extended the
43:54 competition uh deadline. So, we're going
43:56 to extend the submission deadline
43:58 through Sunday the 14th. We've got six
44:01 or seven people vying for one of the
44:03 finalist positions. And it's an open
44:06 call for nominations. I don't care if
44:08 it's a vibe coded website, if it's a
44:10 midjourney piece, if it's a Sunseo song,
44:13 a book you wrote, if you used AI in that
44:16 creation process, we want it to be
44:18 eligible for nomination. And then you
44:21 vote by clicking on an emoji on the
44:25 submission that you like. So you can
44:26 vote for multiple. You can submit
44:28 multiple, but you can't stuff the ballot
44:31 box. You can't put 15 emojis on one
44:33 thing because we can see who flagged the
44:35 emoji. So one emoji vote per submission,
44:39 but you can vote for multiple and submit
44:41 multiple.
44:43 From there, the judging panel, which is
44:45 uh Kyle, Liz, uh myself, and Ann Murphy,
44:51 we're going to pick four of the people
44:54 who've submitted and make them our
44:57 finalists. We're going to give a
44:58 universal prompt and give them a week to
45:01 come up with a submission for that
45:04 universal prompt. Once they submit,
45:07 we're going to
45:09 uh combine our heads together and pick a
45:11 winner and we're going to announce that
45:12 winner live at Festivus.
45:14 >> Beautiful.
45:15 >> And that winner gets a 200 a free year
45:18 of mastermind subscription membership
45:20 for 2026.
45:21 >> Yep. Exactly. And so, um, if you're not
45:25 a member of the AI salon, get your butt
45:28 over there right now. Go to
45:30 community.thesalon.ai
45:32 I and go to the challenges and
45:35 competitions section and look for
45:38 Salons's Got Talent and submit
45:41 something. Anything. It can be anything.
45:44 All right.
45:44 >> Welcome to AI Salons Got Talent. Good
45:46 luck to the contestants.
45:49 >> There you go.
45:52 >> All right. Welcome back, Kyle. It's nice
45:53 to have you back. I I was I was sitting
45:55 here like giving my telling my cats to
45:57 put up the black bar over the last week.
45:58 They didn't know what I was doing
45:59 because I was like, I don't have anybody
46:01 to produce.
46:04 Awesome. Awesome. Um
46:07 so so
46:09 I've been one of the other things that
46:12 that um
46:16 that's been occupying me for the past
46:18 few weeks is we started this thing the
46:21 AI salon mastermind practice which is
46:23 this structured daily practice using AI
46:26 or around designed around AI
46:30 and
46:32 um
46:34 like any good daily practice. It has
46:36 nothing to do with technology and it's
46:38 got everything to do with you or in my
46:41 case me. Um,
46:44 and
46:46 part of
46:48 part of the practice is learning to sit
46:52 with what I call the ick.
46:55 And the ick is just those that that
46:57 feeling you have when you're like, "Oh,
47:00 I should probably go vibe code that
47:02 thing, but I've never vibe coded
47:03 anything and it's probably going to be
47:05 hard and it's probably going to suck."
47:06 And you're just it just feels like ick,
47:09 right?
47:13 And and
47:16 so I've been I've been sitting with the
47:18 and part of the the reason to go through
47:20 the the the structured framework that
47:23 we've created and that we're rolling out
47:25 in the uh in the practice lab the weekly
47:28 meeting that we have. So this week will
47:30 be our fourth meeting. It's on
47:32 Wednesdays or it's on Thursdays at noon
47:35 Eastern
47:37 is to hear what other people are doing
47:39 and to and to work through some of that
47:42 ick and because on the other side of the
47:45 ick is always something interesting. And
47:47 so what I've gotten in touch with in the
47:50 past 3 weeks in a in a
47:55 in a clear and
47:57 palpable and
48:00 you know
48:02 not pleasant way sometimes
48:05 is is how much I hide.
48:09 And even though I'm on here nightly and
48:11 I make lots of videos and I host the
48:14 salon and I do all this public stuff,
48:17 there's there's a big part of me that
48:22 does what I can to diminish
48:25 how much I actually engage and how fully
48:28 I engage.
48:30 Um, and so one of the exercises last
48:33 week was, you know,
48:36 given the things that make you feel
48:38 uncomfortable or you have complaints
48:40 about, what do you give yourself
48:41 permission to do? And so I gave myself
48:44 permission to not be so committed to
48:46 hiding. Um, a lot of I I I spent a good
48:51 amount of time with Andy in New York
48:53 talking about the salon and just life
48:56 and and things things things of that
48:58 nature. And
49:01 I got to witness how much
49:05 joy I rob myself of by hiding or by
49:10 talking myself out of something being
49:12 really good. Like I'm in New York cuz
49:14 I've written a musical
49:17 and I've got exagmineer
49:20 Disney producers interested in, you
49:23 know, bringing this thing to life. And I
49:26 somehow found a way to rob myself of the
49:29 joy of that. No, it's not just
49:34 and so so so
49:37 I woke up. I think it was Thursday
49:39 morning. I think it was the morning
49:42 that
49:44 that we were going to see them speak at
49:46 Lincoln Center. And I just woke up and I
49:49 said, I give myself permission
49:52 to not
49:54 hide
49:56 because all that hiding and all that
49:58 diminishing of my power and and what I
50:01 do, it just it robs everyone else around
50:04 me of the joy of like when I'm engaged.
50:07 And like when I'm on and I'm engaged,
50:10 you know, I'm I'm I'm powerful. I've got
50:13 a powerful, you know, whatever presence,
50:15 source. Um, and I just I just dial that
50:19 down so much. I I have dialed that down
50:21 so much. It's just not fair to anyone
50:22 around me, and it's really not fair to
50:23 myself.
50:25 Um, and that something shifted when I
50:28 gave myself that permission. And so, so
50:30 it's been good since. But anyway, so I
50:33 so so I had a couple of good days with
50:34 the producers and with Andrew and and
50:36 and doing all that stuff.
50:40 And then
50:42 what was it yesterday? Was it yesterday?
50:46 Saturday or Sunday.
50:50 I was thinking about one of the So So I
50:54 made I used Nano Banana
50:56 to make this map of all the projects
50:58 that I've got. Right. So there's AI
51:01 Salon and and Content Lab and Story Vine
51:04 and
51:06 I've got all this all these projects
51:10 in all these different areas of my life.
51:16 And and
51:19 one of the insights I had about a month
51:21 ago was one of my MOS in life is I
51:25 create projects and then I hide behind
51:27 them. I treat them as these inanimate
51:30 objects that I I didn't have anything to
51:32 do with.
51:34 Um, and it it robs the project and it
51:36 robs me and it robs all the people that
51:38 are participating.
51:40 Um,
51:42 and I was thinking about my projects and
51:43 I was thinking about my commitment to
51:45 them and things like that. And what
51:47 struck me was
51:50 for the play Sydney, we we've we're
51:52 starting to have this remarkable network
51:54 of people.
51:57 And how I've been thinking about all of
52:00 my projects is as like it's an object
52:03 and I've got all these to-dos. I've got
52:05 all these tasks.
52:09 And what I realized was that is
52:14 it's such a cold way to interact with
52:19 an initiative I'm trying to make alive
52:21 in the world and the only way any of my
52:24 projects can be alive in the world is
52:27 with the participation of others. And so
52:30 what struck me was that wouldn't it be
52:33 remarkable novel to think about projects
52:36 not as a series of tasks but as a
52:39 network of people who are all
52:41 interconnected and have different levels
52:44 of commitment. Maybe some were were
52:47 engaged in the past, some in the
52:48 present, maybe some are coming in the
52:50 future, but some of them know each
52:51 other. There's clusters within that.
52:54 and thinking of rather than I've got a
52:57 to-do list that I've got an opportunity
53:01 to be generous with people or stingy
53:03 with people. And if I can live in the
53:06 place of rather than just going, "Oh, I
53:08 didn't do that to-do list. I'm a piece
53:09 of shit."
53:11 That I can live in the place of I've got
53:14 all these people that are on some level
53:16 committed to making this project happen
53:19 and how can I be generous with them? and
53:21 if I can be generous with them, they're
53:23 going to be generous to the project.
53:24 They're going to be generous to me.
53:27 Um, and so I I decided I wanted to start
53:29 vibe coding um something up that was a
53:34 project management tool that was human
53:36 centric.
53:38 And so, let me
53:41 let me get this thing up and running.
53:43 I'll show it to you.
53:45 Um,
53:50 and what was cool, I went to chat GPT
53:52 and I I described it. I wanted help
53:54 describing it and I said, "Is there are
53:56 there any tools out there that are like
53:57 this?" It's like, "No, not really. Not
54:00 that I can think of." I might have just
54:02 been blowing sunshine up my ass, but
54:13 login failed.
54:20 There we go. Okay.
54:26 Am I sharing? I am. Okay. Let me get rid
54:29 of that.
54:31 Let me get rid of that. Let me zoom in
54:34 on this.
54:36 Okay. So, so this is um I've only got
54:41 one project in this so far. So, this is
54:43 my my people centric
54:46 um
54:48 my people centric project manager. So,
54:51 the the two core people here, Kyle
54:54 Shannon and Andrew Watts, that's my
54:55 writing partner and I. And then people
54:58 to the left of the graph are people who
55:01 we've done things with in the past.
55:04 People to the right of the graph are
55:06 people who we hope are going to do
55:07 something in the future. And then people
55:09 clustered around the center are people
55:11 that we're working with currently. And
55:13 then all of these nodes, all of these
55:15 lines connecting the people, um, you can
55:18 put labels on them and it does a little
55:20 popup to describe the relationship
55:22 between those people. And you know, I
55:25 can see here Kathleen is is one of the
55:28 women we're working with and she brought
55:30 in a bunch of other people. And so if if
55:33 I click on any one of these people, it
55:35 pulls up, let me see,
55:38 it pulls up a little panel to the right,
55:40 which is who they're connected to and
55:44 their socials, if they have any socials
55:46 in there. So like there's my email. So
55:48 that so if I want to connect with
55:50 anyone, I can do that. there's the
55:52 ability to add notes to anyone. So, um,
55:55 so I'm just starting this, but it's a
55:57 kind of cool sort of, you know, um,
55:59 physics-based, you know, dynamic layout
56:02 kind of thing. So, as you add people to
56:04 it, so I can hold down the option key
56:06 and I can drag out and now that'll
56:09 create a new card for a new person and
56:12 and then I can create new projects and
56:14 then I can just add people in the
56:16 database to other projects. And then
56:18 I've got people that are producers,
56:20 people that are contributors,
56:22 stakeholders, or fans. And so I'm
56:24 obviously just starting this one because
56:26 I'm just trying to I'm trying to vibe
56:28 code the thing up as I'm building it.
56:30 But it's like it's just amazing that
56:32 that we can live in a world where I can
56:34 do one of these crazy physics-based node
56:37 things like like I've seen for for years
56:40 and years and years and just do it. And
56:42 at some point I'll probably um even do
56:45 multiple views. Like one view might be
56:47 be this node view. There might be
56:48 another view that's like concentric
56:50 circles or something like that. Tik Tok
56:53 pin. Do you know
56:55 how your easy laugh and your humble
56:58 personality are? Oh no. Oh the thing I
57:02 love about you. Oh, thank you very much
57:03 Mr. I appreciate that. Um
57:08 yeah. So, and and so like where this
57:10 thing's going to go is that the the
57:13 right hand side is is the sort of person
57:17 detail and then the left hand side is
57:20 going to be a to-do list and the to-do
57:21 list are going to be tied to people. So,
57:23 when you click on a to-do item, it's
57:25 going to highlight the people that
57:27 you're doing that to-do for, right? Um,
57:31 so it's it's a human- ccentric
57:33 visualized graph of all of the
57:37 contributors of a given project
57:40 and and it just for me I like I don't
57:43 know how far I'm going to get with this.
57:45 I like you know as I'm starting to
57:47 populate it I'm realizing
57:50 just populating this thing is going to
57:52 be a ton of work but at the same time
57:56 like the value of just being able to
57:58 look at a thing and say like how many
58:00 people did I bring in did Andrew bring
58:02 in you know who are who are the people
58:03 that we're working with that we're
58:05 actively you know working with or who
58:07 might pe be people that we connected
58:10 with in the past that would be good to
58:11 get in touch with being able to just
58:13 very quickly
58:15 see the world of a project um and remind
58:20 yourself that
58:23 each to-do is is not a task on a list.
58:26 It's a human being you're either in
58:29 integrity with or not. Um I shared this
58:33 with Andy today and you know her her
58:35 response was you know just commit to
58:37 being in integrity with people and then
58:39 you don't have to build this thing. Um,
58:40 but for me it's like I've gotten so good
58:44 over my life at hiding from this reality
58:50 um that I'm kind of excited about it.
58:53 How did I build it? Um, I just I was
58:55 just in Lovable. And
58:59 so one of the nice things in Lovable,
59:03 if I scroll down the lefth hand side
59:04 here, I can show you how I began. Um,
59:15 when you start in Lovable, let me go
59:17 back out here for a second. Let me go to
59:19 the dashboard.
59:22 There's there's this mode called chat
59:25 mode.
59:27 So, you can turn it on or off.
59:30 And if you're in chat mode, it's not
59:32 actually building anything. So, I went
59:34 into chat mode. and I just started
59:37 describing what I wanted to do and we
59:39 went back and forth and back and forth
59:41 and back and forth and then it ended up
59:43 creating this really one of the cool
59:44 things that Lovable does is when you're
59:46 in chat mode
59:48 it'll kind of regurgitate what you asked
59:52 it and then it'll ask you a series of
59:54 questions. It'll say, you know, do you
59:57 expect this to be used by individuals or
59:59 teams? you know, do you expect a a
1:00:02 project to have, you know, tens of
1:00:04 people attached or hundreds of people
1:00:05 attached? It'll it'll based on what
1:00:07 you've said, it'll ask you questions
1:00:10 relevant for specifying what what the
1:00:12 scale of the application is. It'll ask
1:00:14 you things like, do you want there to be
1:00:16 a database so it can remember everyone's
1:00:18 stuff? You know, do you want multiple
1:00:21 people to be able to log into a project,
1:00:23 for example? And so, we we talked about
1:00:25 all this stuff and I talked about adding
1:00:27 a to-do list manager and things like
1:00:28 that. And then we get to the end and it
1:00:30 after it's done asking all of its
1:00:32 questions, it said, "Do you want to just
1:00:34 do you want me to just go build this big
1:00:36 ass thing we described or do we want to
1:00:39 do you want to start with an MVP?" And
1:00:41 so I said, "Let's start with the MVP."
1:00:43 And it said, "Okay, great. We're going
1:00:44 to drop the to-do list for now and we're
1:00:46 just going to focus on the people
1:00:48 layer." And and so I started this at I
1:00:53 don't know 3 this afternoon or 4 this
1:00:55 afternoon. and just very quickly, you
1:00:59 know, got to a place where it's good,
1:01:04 you know, it's good and working some
1:01:06 version of working and it's I mean
1:01:08 there's obviously a ton
1:01:11 of stuff to add and change and um but
1:01:15 like one cool thing is if I go into
1:01:19 here, let me go back over to
1:01:22 the full screen thing.
1:01:25 If I go to edit this, um, let me share
1:01:28 this tab. Yeah, you can see that. Okay.
1:01:31 So, avatar URL. So, I can go to LinkedIn
1:01:34 and I can go to my my LinkedIn
1:01:38 and
1:01:41 Oops.
1:01:43 I'm going to copy the No, I'm going to
1:01:45 copy the image address from LinkedIn.
1:01:49 And I come back to my little
1:01:52 my little thing. I put in my LinkedIn
1:01:55 URL and now my little avatar has my
1:01:58 picture in it
1:02:00 and so so I can go in and populate, you
1:02:03 know, everyone's little little picture
1:02:06 with their with their, you know, avatar.
1:02:09 So, but like one of the things that
1:02:10 would be nice is um I should be able to
1:02:13 just paste an image in there as well. I
1:02:15 shouldn't have to have the URL for it.
1:02:17 Um I've got like rankings of how
1:02:20 important is this person to the project.
1:02:22 They've got, you know, social media
1:02:25 labels, things like that. So groovy,
1:02:28 right?
1:02:31 And then I can zoom in. I did I I added
1:02:34 a pinch to zoom feature. So if the if
1:02:36 the nodes are really big, I can zoom out
1:02:38 like that. Or I can zoom in really
1:02:40 tight.
1:02:43 Ain't that cool?
1:02:49 All right. So, there you have it.
1:02:54 There you have it, good people. Um, I
1:02:57 want to go show
1:03:01 um I want to show this McDonald's ad.
1:03:05 We'll shift gears. I heard Lovable is
1:03:08 great for prototyping,
1:03:10 but when you want to actually build,
1:03:13 it's best to do it in something else
1:03:14 like cursor. Yeah, probably. So, but um
1:03:18 Lovable is
1:03:22 Lovable at this point, Corey is because
1:03:26 they have this thing called Lovable
1:03:28 Cloud.
1:03:30 Um
1:03:32 they'll automatically set up your
1:03:34 database for you. They'll automatically
1:03:36 set up authentication. They'll
1:03:38 automatically set up your web server. Um
1:03:40 they'll automatically repoint your
1:03:42 domain. Like when I did um my website
1:03:46 for 10person team the workshop
1:03:49 um
1:03:50 I just said I want to use this URL that
1:03:53 I own. It figured out where I had
1:03:55 registered that URL and it said do you
1:03:58 want me to configure it? And it just
1:04:00 went and configured
1:04:02 um GoDaddy for me. So I didn't have to
1:04:04 go into DNS and do all that [ __ ] So
1:04:07 it's it's getting it's getting pretty
1:04:09 slick. Like I I would say that that
1:04:12 yeah, if you want a commercial app,
1:04:13 you're not going to do it in lovable
1:04:15 right now, but it's probably not going
1:04:16 to be that long until
1:04:18 one or one or more of these vibe coding
1:04:21 platforms figure out how to really just,
1:04:23 you know, push a button, launch launch a
1:04:25 robust site. We're not quite there yet,
1:04:27 but we're pretty close. I know there's
1:04:30 not many of us using Windsurf, but it's
1:04:32 um but I was to share its new version.
1:04:35 Oh, I wanted to share its new version.
1:04:37 Cool.
1:04:39 Skill sets suggest them
1:04:42 skill sets to suggest them to new
1:04:44 projects. Oh, that's a great idea. Sober
1:04:46 Fox.
1:04:50 Best to use claude code Gemini code chat
1:04:53 GPT codecs to actually build it. Oh,
1:04:55 okay. Yeah, that that makes sense to me.
1:04:59 That makes sense to me.
1:05:07 All right, cool. Okay, so I just I want
1:05:09 to play this McDonald's commercial
1:05:24 at the place. It's the most terrible
1:05:28 time of the year.
1:05:32 The rover turns at
1:05:34 >> and the cookies burning chaos. It feels
1:05:38 like a zoo. It's the most terrible time
1:05:43 of the year.
1:05:46 >> See you from the madness, the lights and
1:05:49 the cheer and hide out in
1:05:53 January.
1:06:03 Okay, so
1:06:07 for the second year in a row,
1:06:09 Coca-Cola's done an AI version of their
1:06:12 their Christmas ad. This is now
1:06:14 McDonald's. So, you've got two of the
1:06:16 world's biggest brands going all in on
1:06:19 AI commercials.
1:06:23 This is an AI commercial. This is all
1:06:24 AI, right?
1:06:26 Um,
1:06:31 if if anyone out there thinks that AI
1:06:36 video isn't going to be mainstream, it
1:06:39 already is.
1:06:41 It already is because I I promise you
1:06:44 that most people when they see this will
1:06:46 not know it's AI. We see it and we know
1:06:49 it's AI. Like the physics of how those
1:06:51 packages fall off the roof is just
1:06:52 wrong. Like like the guy's not going
1:06:55 fast enough to be to be up on two
1:06:58 wheels, right? Like there's like that
1:07:01 scene that's AI him flying through the
1:07:04 window. Like how the tree explodes right
1:07:07 here. How he flies through the window.
1:07:10 It's like if you've done AI video, you
1:07:13 know AI video, right? This is like look
1:07:16 at this janky the janky legs here.
1:07:21 It's a mess.
1:07:25 that dude in the lights. So, it's AI
1:07:28 video, but you know what? No one cares.
1:07:31 No one's going to care.
1:07:33 It's just AI slop. It's not AI slop.
1:07:36 It's like funny scenes. It's funny
1:07:38 scenes. They're edited well. They're put
1:07:40 together with funny music. There's some
1:07:43 writing behind it. I guarantee you
1:07:46 neither this nor the Coke ads were
1:07:48 cheap, right? It was cheaper than if
1:07:50 they had filmed all this, but this is
1:07:52 probably a couple hundred thousand
1:07:53 dollars, right? You probably have a team
1:07:55 of professionals that put this all
1:07:57 together.
1:07:59 Um, I just wanted to show it because
1:08:04 big brands tend to be conservative
1:08:09 with with some exceptions. You've got
1:08:11 like you've got like Nike,
1:08:13 um you've got CocaCola, you've got
1:08:16 Disney that tend to be they're already
1:08:19 high-tech companies, high-tech brands
1:08:22 that that embrace technology,
1:08:24 um and they'll try these things first.
1:08:28 So, the fact that we're seeing, you
1:08:29 know, multiple years in a row and we're
1:08:31 seeing these big brands go all in on
1:08:33 video, this is this is, you know, we're
1:08:37 we're on the way to mainstream. So, if
1:08:38 you think it's not coming, it's
1:08:39 absolutely coming. Um, I wanted to share
1:08:43 that.
1:08:46 Trying to think if there's anything
1:08:47 else. Brandon sent me a whole ton of
1:08:48 stuff to look at. Let me look at if
1:08:51 there's anything in here I thought was
1:08:53 cool. There's a really cool uh three and
1:08:55 a half hour video from Andre Karpathy
1:08:57 that talks about how chat GPT actually
1:08:59 works. If you want to see how these
1:09:01 models were trained um
1:09:04 and and like what that actually looks
1:09:07 like, that's cool. Um Stripe is going to
1:09:12 be inside chat GPT.
1:09:16 Google Labs Mixboard just got an update.
1:09:18 Um it looks like tomorrow we might get
1:09:21 something from OpenAI. It might be Chat
1:09:24 GBT 5.2.
1:09:26 Um, apparently they've got a new image
1:09:29 model that's supposed to rival Nano
1:09:31 Banana, but Nano Banana's also got a new
1:09:34 version coming out which is coming out I
1:09:36 think Wednesday.
1:09:39 So, I don't know. Watching this video
1:09:42 just gave me an idea to create for my
1:09:43 company now that now how to make the
1:09:46 four Ds of self storage funny. Death,
1:09:49 divorce, dislocation, and downsizing.
1:09:51 Dude,
1:09:54 let's go do that right now. Okay,
1:09:57 hang on. We can't we we've got to we we
1:10:01 can't we can't [ __ ] foot around. We've
1:10:02 got self storage we've got to do comedy
1:10:04 for.
1:10:06 Um Oh, I have an amazing story about
1:10:08 this dude. Let me come back to that. Oh,
1:10:11 you can't see it right now, can you? No,
1:10:14 this guy.
1:10:18 I'll tell you that story in a second.
1:10:20 But we got to go do something for Jim.
1:10:23 I know he can do it on his own. He's a
1:10:25 big boy. I understand that.
1:10:28 But but Jim Jim Jim deserves special
1:10:32 treatment because he just tries stuff.
1:10:34 Okay, so let's see. Um,
1:10:38 I want to create a funny
1:10:43 60-second
1:10:46 commercial
1:10:53 for
1:10:56 my friend Jim's
1:11:00 company, ThreeMile
1:11:03 Storage.
1:11:05 Um
1:11:10 there are four D's
1:11:14 of self
1:11:17 storage. Uh
1:11:20 black bar and tabs. Oh, did I not share
1:11:22 this? Okay, fine, fine, fine.
1:11:26 Okay. Uh there are four Ds of self
1:11:29 storage. What are they called?
1:11:32 Make the four Ds of self storage funny.
1:11:33 Okay. There are four Ds of self-
1:11:36 storage. Uh, initiation
1:11:39 or or or uh well, that's good.
1:11:41 Initiation's fine. You don't have to you
1:11:43 don't have to use good words with with
1:11:45 large language models. Death,
1:11:49 divorce.
1:11:51 This is so funny. Dislocation,
1:11:56 and downsizing.
1:12:00 Um,
1:12:02 I need
1:12:04 a creative brief
1:12:07 for the commercial.
1:12:11 It should be funny like a Super Bowl
1:12:17 spot
1:12:20 bowl
1:12:22 spot. And I also need um a section
1:12:29 on
1:12:31 the custom song we will have written
1:12:36 that is a
1:12:39 Xmas classic from the start.
1:12:44 Okay. All right. So, first thing, Jim,
1:12:47 write a creative brief. So, so you can
1:12:49 just explain a little bit there and then
1:12:51 let it figure it out. Here's a super
1:12:53 tight, clear, built to be launched,
1:12:56 genuinely Super Bowl level 60-cond spot.
1:12:58 The creative brief, the 4Ds of self-
1:13:00 storage. Project overview. Fast-paced,
1:13:03 laugh out loud commercial. Death,
1:13:05 divorce, dislocation, and downsizing in
1:13:07 a way that's absurd, relatable,
1:13:08 surprisingly heartfelt. The tone should
1:13:10 be a holiday season wink. Big
1:13:13 characters, exaggerated situations, and
1:13:15 a splash of magical Christmas energy,
1:13:17 all anchored by the reliable, nononsense
1:13:20 presence of Three Mile Storage.
1:13:23 The spot should feel like something
1:13:25 people remember. The kind of commercial
1:13:28 they'll text to their friends. Okay.
1:13:30 Target audience 25 to 65. Busy families,
1:13:34 folks going through these transitions.
1:13:36 Anyone who just needs a damn place to
1:13:38 put their stuff for a minute. That's
1:13:40 pretty good. Key message. Life can get
1:13:42 me messy, but your storage doesn't have
1:13:44 to be. Yeah, it's not great, but it's
1:13:45 it's fine. Um, three Mile Storage steps
1:13:48 in when life throws curveballs with
1:13:50 clean, secure, friendly, nononsense
1:13:51 storage solutions. Comedic, crisp. Think
1:13:54 Super Bowl ad meets holiday musical
1:13:57 meets local town charm. Perfect. Visual,
1:14:00 punchy, energetic concept. The 4D's
1:14:03 holiday jamboree. We open on a fake
1:14:06 Christmas holiday special title card. A
1:14:08 cheerful narrator begins to sing
1:14:12 as he introduces the four Ds. We cut to
1:14:15 a mini scene. Divorce. A couple dividing
1:14:17 everything down to absur absurd terms.
1:14:20 You want my left shoe? Fine. A huge pile
1:14:24 of belongings. Smash cut to three Kyle.
1:14:26 Three three mile storage. Neutral
1:14:29 territory. Downsizing. A retired couple
1:14:32 realizing their condo is roughly the
1:14:34 size of a Buick. Smash cut to pushing
1:14:37 belongings out the back door like a
1:14:38 reverse clown car. Dislocation.
1:14:41 Someone's job transfer announced via
1:14:42 ridiculous office novelty. Talking fish
1:14:45 singing te telegram telegram
1:14:48 sigh three miles storage death handed
1:14:52 with gentle dark humor a quirky ant
1:14:54 leaves behind 47 nutcrackers a
1:14:56 taxiderermy raccoon and 12 boxes labeled
1:14:59 labeled miskam
1:15:02 family stands bewildered cut to a
1:15:05 friendly three-mile storage employee
1:15:07 giving a compassionate thumbs up
1:15:10 all right I'm gonna give you this Jim
1:15:12 here you can you can Take this here.
1:15:15 Wait. I think I can just share this. Uh
1:15:18 I think I can just share this, right? Um
1:15:23 copy link. Uh I'll I'll I'll DM it to
1:15:26 you on the AI salon.
1:15:29 That's really good. Um Jim,
1:15:36 can I get this all in there? Will it
1:15:38 paste all in there? Oh, yeah. I'm just
1:15:39 giving you the the link. All right.
1:15:42 There you go.
1:15:49 go make that now.
1:15:52 And here's the thing about Jim. He will
1:15:55 and he'll make it better. It'll be good.
1:15:58 You got to go to Sunno and you got you
1:15:59 got to after the creative brief now you
1:16:02 have to have it make the uh actually
1:16:04 write the script, write you the shot
1:16:06 list, um give you a cinematic style and
1:16:09 then have it write the lyrics for the
1:16:10 song and the uh and the description of
1:16:13 the song for Sunno and you'll be done in
1:16:16 like an hour. No, you'll be done in like
1:16:19 a day. All right. And five minutes
1:16:23 later. Yeah, exactly.
1:16:25 Here's the thing about Jim Ross is while
1:16:28 I said, "Hey, let's just go do this
1:16:30 right now." I promise you he was over in
1:16:32 chat GPT doing the exact same thing I
1:16:34 was. He's probably way ahead of us at
1:16:36 this point.
1:16:39 That was really good. Beautiful. All
1:16:42 right. Thanks. I'll have it ready
1:16:44 tomorrow. Yeah, you've got your
1:16:45 homework. It's It's uh Where are you?
1:16:48 You're in Oh, you're in Utah. So, you're
1:16:50 my time zone. You've got plenty of time.
1:16:53 Like, you should be up till 2 in the
1:16:55 morning. I would think if you're if
1:16:57 you're committed to this AI thing.
1:17:00 All right. And have a marching band
1:17:02 play. Yeah, you there should be a
1:17:03 marching band. You should cut to a
1:17:05 marching band on like the the cut to
1:17:08 self storage should be like a a marching
1:17:11 band on a cold snowcovered football
1:17:14 field where all the kids are miserable
1:17:16 and and shaking, but they all have like
1:17:18 three mile storage band hats on.
1:17:29 Oh,
1:17:33 the marching band will hold up signs.
1:17:35 Um, when they flip it will become the
1:17:38 image. Yeah, that's good. That's good.
1:17:41 Oh my god. Okay. So, listen. Wednesday,
1:17:47 um, the AI readiness project podcast,
1:17:50 we've got five speakers who are speaking
1:17:54 at AI festivists coming to preview what
1:17:57 they're going to be talking about at
1:17:58 Festivus. So, this Friday, so if you go
1:18:00 to AI readiness.com,
1:18:05 um, or go to YouTube and search for AI
1:18:07 readiness project, that's where it'll be
1:18:09 streaming. It'll be streaming live on
1:18:10 YouTube. Do me a favor. Go to AI
1:18:13 Readiness Project channel on YouTube and
1:18:16 subscribe to that channel. We spun up a
1:18:19 new channel because we wanted to have
1:18:21 have our own channel for that podcast.
1:18:23 Um, and we just have a handful of
1:18:25 subscribers in there. So, if you would
1:18:26 go over there and subscribe. All right.
1:18:29 And then the mastermind practice lab is
1:18:32 Thursday at noon Eastern. So 10:00 my
1:18:34 time, 9 9 a.m. um Pacific.
1:18:40 If you're in the salon but not part of
1:18:43 the mastermind, I'd encourage you to
1:18:44 join the mastermind. It's it's only 20
1:18:46 bucks a month through the end of the
1:18:48 year and then it goes up to 47.
1:18:50 And as long as you maintain your
1:18:53 subscription, it stays 20 bucks forever.
1:18:56 Um and if you're part of the mastermind,
1:18:59 you can come to the practice lab and I
1:19:01 would encourage you to do that. Okay.
1:19:04 All right. All right. Beautiful.
1:19:06 Beautiful. Beautiful. Beautiful.
1:19:09 Um, yeah, that's good for now. That's
1:19:12 good for now. All right, everybody. Um,
1:19:18 I think that's good. Anything we missed?
1:19:22 Normal time tomorrow. What day is today?
1:19:23 Today's Monday.
1:19:26 Yes, I think a normal time tomorrow.
1:19:29 It's weird to be back like like weeks
1:19:31 away. Totally [ __ ] me up.
1:19:35 You forgot me Meltdown Monday. I I was I
1:19:38 was starting to go down there for for a
1:19:40 little moment, but it was just more It
1:19:42 was just more rambling tonight. Little
1:19:44 bit of rambling. Little bit of showing.
1:19:46 Little bit of show and tell. Little bit
1:19:47 of rambling. All right, beautiful
1:19:50 everybody. Um, have a good evening. Uh,
1:19:54 Jim, I'm glad you're finally doing
1:19:56 something with your life and creating a
1:19:58 Super Bowl commercial.
1:20:01 It's about time. [ __ ] slacker.
1:20:06 Jim Jim's only acting like a 10erson
1:20:08 company. Now he's acting like a 10person
1:20:10 company and a 10erson agency.
1:20:15 You're up to 20 people. This is good,
1:20:17 Jim. All right, everyone. Have a great
1:20:20 night. Bye.