12/3/2025 - Preparing for a Future Where AI Makes Work Optional

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0:07 Oh yeah, good people.
0:12 Good people of the Tik Tok. What is
0:16 happening?
0:18 What is shaking? What is going down?
0:22 Look at that hair.
0:24 That's got some New York City grime in
0:27 it.
0:29 It's got some sublace scunge.
0:33 Oh man, are you doing some painting and
0:35 decorating? Well, the ladder was there
0:38 last night and I moved it and it just
0:40 looked like I was in prison. So now it
0:42 looks like I'm on a construction site,
0:44 which I think is more interesting.
0:48 If I were actually in prison, that would
0:50 be interesting. But, you know, it's just
0:52 a new apartment.
0:56 And by new, you know, it was new in
0:59 1947.
1:18 And breathe. Everybody breathe.
1:21 Welcome.
1:23 Welcome to the AI learning lab.
1:27 We've got one person on Tik Tok or
1:29 YouTube.
1:31 We got six people here,
1:34 but we're live on YouTube. If you want
1:35 to head over there, you can. We got
1:38 stuff going on. Um Yan Brandon, um any
1:43 free apartment
1:46 in New York that's not ratinfested is
1:48 good. Seriously, man. This the place is
1:51 really nice. It's a nice building.
1:53 Um, and it's yeah, like a free place to
1:56 to sleep. Although tomorrow I got
1:59 nothing. So I think tomorrow I'm going
2:02 to an event at Lincoln Center and then I
2:04 assume I'm going to drinks after
2:08 and
2:10 then after that I have to go up to the
2:12 Bronx,
2:14 come back down
2:17 uh in the morning for a morning meeting.
2:22 Yeah.
2:23 So, we'll see. I'll figure it out.
2:27 Um,
2:36 all right. Let's see. Let's switch the
2:39 cameras.
2:41 Um, one funny thing that that young
2:44 Brandon did
2:47 is while I was doing my Subway Live,
2:53 Brandon was vibe coding.
3:02 Brandon vibe coded a Subway rat game.
3:06 So, while we didn't see any real rats,
3:10 Um, some virtual rats were harmed in the
3:13 making of this game. Brandon, you want
3:15 to come up here and show your show your
3:17 game and tell the good people how they
3:19 can make a rat game?
3:21 >> Yeah. So, as you were sitting there h
3:24 trying to uh not awkwardly film people
3:27 on the reverse camera, uh, I was and
3:30 while we were going through our signal
3:31 losses, I'm like, I bet this this feels
3:33 like a video game where you just have to
3:35 go through the subway system and avoid
3:37 rats. I mean, it's basically Pitfall or
3:40 Super Mario with the the mushroom guys,
3:43 but I as asked to make an 8-bit game
3:44 where a player has to run through an NYC
3:46 subway system. This is Gemini, by the
3:48 way. Uh, jumping over rats and fighting
3:50 other passengers. Gameplay should feel
3:52 like pitfall. Call it Subway Surfer. So,
3:54 it did. And I had to give it um one
3:57 little quick redirection here. But this
3:59 is the second attempt. And uh it's
4:03 pretty good. It's pretty playable. I
4:05 mean, it's very basic, but you can jump
4:06 on top of the subways cars. You have to
4:09 you can shoot the other passengers uh
4:11 just like in real life. And uh you can
4:14 jump over top of the rat or if you jump
4:17 on top
4:17 >> you can't jump over Yeah, you can jump
4:19 over the rat.
4:19 >> No, but on it and kill it.
4:22 >> Uh no, it will it will uh give you
4:24 rabies and you will lose a life.
4:26 >> Well, you Oh, you know, here's two two
4:29 changes, Dad. One is you should be able
4:30 to jump on it and kill it, but you
4:32 should also if you kill a rat with
4:35 that's carrying pizza, a slice of pizza,
4:38 you get a bonus point.
4:40 >> Yeah, you should be able to pick up the
4:41 pizza needed or something like that.
4:43 >> All right. Well, if you can handle the
4:44 Well, we're going to switch the Tik Tok
4:46 cams because you don't have your
4:47 construction paper, but uh in between
4:50 producing, I might uh
4:54 >> I might uh come up with a round two. And
4:56 and this is just on Gemini Canvas. And
4:58 what I can do is I can share this. I'll
4:59 show this in irregulars once we uh once
5:01 it's updated.
5:03 >> Okay. Once you once you get it to world
5:05 class.
5:06 >> Yes.
5:10 Um Okay. So, uh we'll wait for more
5:14 people to get in here for I'll I'll talk
5:16 promo stuff. Um
5:20 who's got any questions? I had a really
5:22 AI AI AI. We've made it possible to get
5:25 a domain
5:27 AI entertainment in blockchain. Pay once
5:30 only. Please do not spam the comments
5:32 with ads. Thank you.
5:45 AI summary. AI learning lesson. Ask
5:47 about AI.
5:50 Who made the AI summary bot?
5:54 Who made it?
5:57 Who made it and made it come to my
5:59 lives? I like it. I don't think it's a
6:02 bad thing. I think it's a good thing. I
6:03 just want to know. Hey, Reggie, did you
6:05 make the AI bot? I appreciate you
6:08 looking for a rat even though you missed
6:10 your turn to stop. Yeah, I went I went
6:12 two blocks I went two blocks past the
6:16 apartment, Danielle.
6:24 It wasn't just an ad. It's a protection
6:26 of an asset. But okay, it's still
6:28 marketing. So, here's the deal. If you
6:30 want to be in here, you're called AI
6:32 Entertainment. This is the AI learning
6:33 lab. If you want to be in here and you
6:35 want to support other people and
6:36 figuring out how to use AI, things like
6:38 that, great. Um, but just throwing up
6:40 marketing stuff's not cool. Um, I don't
6:43 even see anything from the bot really.
6:46 Oh, maybe it's a So, let's see. the the
6:49 AI bot is right above it's right below
6:53 it's actually right below AI
6:54 Entertainment's thing that I yelled at
6:55 them for.
6:57 Um we've made it possible to get a
7:00 domain in AI entertainment. Look for
7:02 that post and then what I see is right
7:04 below that is AI summary and then it
7:08 says AI learning lesson ask about AI.
7:12 I saw it then it disappeared. It may
7:13 just be you. Oh, maybe it's a Tik Tok
7:16 thing. I don't know. I like
7:20 if it's a Tik Tok thing, it's kind of
7:22 useless because it's like it's
7:24 summarizing what I've already said and
7:26 then telling me to recap what I said,
7:29 which if I'm if I am completely
7:34 incoherent might not be a bad thing.
7:38 Oh, no. I I found it and pinned it for a
7:41 second. Oh, okay. Vicki, you're on the
7:43 Tik Tok side tonight. Yay.
7:47 Um,
7:54 who's got questions about AI? Who's got
7:58 questions? It's Dar. Dar the AI star or
8:01 Tar Dar the Tik Tok star.
8:06 Um,
8:10 it's so funny. Last year I was so
8:12 excited about 12 Days of Shipmas.
8:15 So 12 days of new chatbt products and
8:19 there was all this speculation, all this
8:21 excitement and they're doing the same
8:23 thing this year and no one seems to give
8:25 a [ __ ]
8:27 AI seems to have lost their or open AI
8:31 seems to have lost their way a bit.
8:32 Google seems to be flying high right
8:34 now.
8:39 Um, this is something I said on uh we
8:44 did today. We did the AI readiness
8:46 project podcast had a really good guest
8:48 on
8:51 and after the podcast we continued the
8:54 conversation a little bit and and
8:55 something struck me that I'm I'm feeling
9:00 and the thing that I'm feeling
9:04 is that there are a lot of folks
9:09 in our community there are a lot of
9:11 folks in the AI world
9:14 and then I think there's a lot of folks
9:16 in general
9:24 that are talking about
9:27 our role with AI as
9:31 a requirement
9:38 to get good work.
9:45 And
9:48 I do not believe that to be true.
9:51 Um, at present it is, but what I'm what
9:56 I'm starting to notice is that there's a
9:58 lot of people talking about
10:01 human in the loop was the early version
10:04 of it, but but talking a lot about,
10:08 you know, we're there to refine and
10:11 curate and do all this stuff with the
10:12 AI.
10:15 I I don't think that's going to be our
10:17 job for long. I I mean I think it's
10:20 going to be two years, three years,
10:25 but when when we hit AGI and when we hit
10:31 recursive self-improvement where the AGI
10:34 gets better quickly,
10:39 uh these these tools are going to get
10:41 remarkably good.
10:44 Um,
10:47 and so there's a part of me that's like
10:48 I'm I'm like preemptively sad about
10:51 that.
10:53 And I'm not sad because we as humans
10:55 won't figure it out. We'll figure it
10:57 out. We're humans. We'll we'll find new
11:00 new ways to be miserable about
11:02 something.
11:10 We'll find new ways to to, you know,
11:15 find things to do.
11:19 But I I guess the reason I'm saying this
11:21 is just kind of do an inventory of how
11:24 you know your language, how you talk.
11:26 Maybe if you've put together programs or
11:28 trainings or things like that, if
11:30 they're kind of based on the premise
11:31 that we're always going to be necessary,
11:35 um
11:37 just keep out of your peripheral vision,
11:41 pay attention to activity that might
11:43 start to feel like that's changing.
11:45 Don't get don't get stuck in that
11:47 because I think I I think a lot of
11:49 people are going to get stuck in that
11:50 and and it's going to blindside them.
11:53 So, I know that's kind of a depressing
11:55 thought, but
11:59 and then and then and then I start to
12:01 wonder, wow, what's what's life going to
12:03 be like when we have tools that are so
12:05 good
12:07 that it is we can choose to participate
12:09 with them, right? We'll always have that
12:11 option. I mean, we can always go back to
12:14 writing with pens and papers. We can
12:15 always go back to writing with a word
12:17 processor. We can always go back to just
12:18 writing with bake basic chatpt.
12:22 But imagine we're in a stage where you
12:26 can speak a feature film into existence
12:28 and it's great. You can speak a novel
12:30 into existence and it's great. You can
12:33 speak a business plan into existence and
12:36 it's perfect and nuanced and
12:39 sophisticated and easy to understand
12:43 and instantly implementable. And in
12:45 fact, not only does it write a business
12:48 plan, an agent starts executing it. Me
12:53 and my family were talking about the
12:54 Jetsons. Yeah, Carolyn. I you know the
13:00 we're kind of living. We're close
13:04 like it's coming faster than I thought
13:07 it would. We don't quite have flying
13:10 cars yet, but we certainly have drones
13:12 and we've got, you know, drones that
13:14 look like cars. Um, the Tesla Roadster
13:18 is apparently going to have some sort of
13:19 levitating air burst kind of technology
13:24 that will blast it off the ground, which
13:27 who knows what the hell's purpose that
13:29 serves other than it's cool. Uh, so
13:32 we're we're close on the flying cars,
13:34 but but yeah, like
13:38 we're surprisingly close to the Jetsons.
13:42 The humanoid robots probably within two
13:45 years are going to be good enough good
13:47 enough to have in our homes.
13:50 You know, there'll be a novelty at first
13:52 and your rich douchebag friend down the
13:54 block will have the first robot and
13:57 everybody will go over to visit visit it
13:59 and pretend like they don't think that
14:02 Jason's a [ __ ]
14:04 just so they can see his robot. They'll
14:07 be like, "I'll wait for the next
14:08 version." Yeah, I don't need a robot.
14:13 And then and then the next Christmas
14:15 under the tree will be four robots, one
14:17 for each kid and the grandmother.
14:21 And the grandmother has the special
14:23 companionship upgrade
14:27 with little hard eyes.
14:32 Grandma's a little lonely.
14:43 My god,
14:50 I'm I am a little punchy as they say.
14:53 That's pretty funny though.
14:56 Um,
15:00 but we
15:03 the so when we were talking to these two
15:05 guys tonight that were asking about AI
15:07 and they were they were genuinely
15:09 curious. One was a creative director in
15:11 an agency. One worked for Door Dash as
15:13 some sort of business development guy.
15:16 And the creative director at one point,
15:17 you know, said, "Do you have any fears?
15:19 What's your fear?"
15:21 And my biggest fear
15:24 with AI
15:27 is that we we go to this place where
15:34 the machines can do everything.
15:39 And and you know this is
15:42 the place that I'm talking about is
15:44 probably like seven to 10 years away.
15:46 But let's assume we've gone through the
15:48 the rough patch of getting to universal
15:52 basic income or universal high income is
15:56 what Elon Musk calls it. Universal basic
15:58 compute is what Sam Alman calls it
16:01 doesn't [ __ ] matter at some point
16:05 assuming the trajectory continues the
16:09 productivity is going to be higher than
16:10 the people required to like right now
16:12 here's productivity here's the people
16:14 required to make it and at some point
16:17 those two things are going to do this
16:19 they're going to diverge and if they
16:20 diverge quickly enough
16:22 um you know we'll end up with universal
16:25 basic income and all that sort of
16:27 And so I think that's going to happen.
16:29 Who knows when? Doesn't matter. But the
16:33 risk
16:35 as people get laid off and they don't
16:37 have places to work and then as that gap
16:40 is big enough that we actually get taken
16:43 care of to some degree, that we have
16:46 enough money that that there's enough
16:48 prosperity
16:50 on the upside to make sure that we're
16:52 all taken care of.
16:54 What do we do?
17:00 If you just think, I'm just going to sit
17:02 around in a hammock, that's going to get
17:03 old really quick, right? One of the most
17:06 dangerous time in a person's life is
17:09 when they lose purpose.
17:11 When you lose purpose, right? When a
17:13 spouse dies,
17:15 when you know you leave a company or
17:18 sell a company. I sold agency.com in
17:21 2002. I was depressed for a decade.
17:26 a decade.
17:28 I tried to start new businesses, but my
17:30 heart wasn't in it.
17:32 I lost my purpose
17:35 and
17:38 a huge amount of people losing their
17:41 purpose. That's the thing that scares me
17:44 the most. The fear of AI is holding many
17:46 back. I wonder if they still fear
17:48 Photoshop. Yeah, I mean, Rej, that's a
17:50 good point. I mean it's it's just a
17:52 technology but I I think the fear of AI
17:55 is is more fundamental
17:58 than just another technology right the
18:01 worldwide web was just another
18:03 technology Photoshop to a degree was
18:05 just another technology the internet was
18:08 profound connecting many computers right
18:10 that allowed for Moors law to or uh uh
18:13 the metaf is it the metaf effect the the
18:17 network effect
18:19 to happen.
18:21 So that was pretty profound. The
18:23 personal computer itself was pretty
18:25 profound. The computer itself was pretty
18:26 profound.
18:28 But AI is a different thing. AI is for
18:32 the first time
18:35 not making the work we do more
18:38 efficient. It is doing the work right.
18:41 It has got the knowledge. It has got the
18:43 skills. It has got the capacity.
18:46 And I know if you're looking at it
18:48 through today's lens, you're like, "Ah,
18:50 it's very janky, Kyle. We still need a
18:53 lot of humans in there to fix it up,
18:54 right? It's not it's not perfect."
18:58 And I don't know why you talk like that.
19:00 But you do. I mean, that's just who you
19:02 are.
19:04 And nobody likes that face,
19:07 but that's on you.
19:11 Well, that's rude.
19:15 I don't know why you look like Al
19:16 Franken. I don't
19:26 um we have to reinvent ourselves. We do.
19:28 We have to reinvent ourselves. And and I
19:31 think that
19:36 what excites me about this community is
19:38 that this community is
19:41 are people who are excited to reinvent
19:43 themselves.
19:45 Um
19:50 I don't hear a lot of people talking
19:52 about this. I don't hear a lot of people
19:53 talking about it. AI summary AI's future
19:56 impact debate its risks.
20:02 Does everyone see AI summary right now?
20:05 I I bet it is a Tik Tok thing. It must
20:08 be a Tik Tok thing.
20:10 It's kind of annoying.
20:13 Disney princess. Hello, Disney princess.
20:15 Tobias is in the house. Nope, not seeing
20:17 it. Okay, interesting. Yeah, that's just
20:20 to me then. All right, fine.
20:26 Okay, let's see what happens in the next
20:28 5 years. It's not light years away.
20:31 It ain't that far away.
20:34 Five years.
20:37 It ain't that far away.
20:42 And here's the thing. If you're in a job
20:44 right now,
20:46 if you're in a job or if you're in a
20:48 mental mode
20:52 where you're just like, I just punch the
20:54 clock. I just let them tell me what to
20:56 do.
20:59 If you're not engaged engaged
21:01 critically
21:03 crit critical thinking wise in your job.
21:07 If your job is like a cog in a wheel
21:13 just repetitive data entry or something
21:16 like that.
21:20 And and
21:22 you're not outside of work engaging
21:24 those muscles of creativity and critical
21:29 thinking and self-reflection
21:32 and coming up with ideas and being
21:36 ambitious about them and being curious
21:38 and and
21:41 creating.
21:43 If you're not in the habit of creating,
21:46 that's what I would work on right now.
21:51 And you can use AI, but I like I almost
21:54 I almost feel like it doesn't [ __ ]
21:56 matter.
21:58 Like like Vickiy's got her whole 3D
22:01 printing thing. And I mean Vickiy's got
22:03 a ton of other stuff, but like the 3D
22:06 printing thing is being augmented by AI.
22:09 She can make models herself now quickly
22:11 using AI and tossing them into tools and
22:14 things like that. So there's
22:18 there's cool stuff, but there but like
22:21 she she can also just do her, you know,
22:24 CAD skills and or or just go to
22:26 Thingiverse and get models and print
22:28 them and choose filaments and, you know,
22:31 she's geeked out enough on the core
22:33 technology that she knows how they work
22:35 and she knows what filaments look like
22:37 and what they do.
22:39 So she can just be in a in a creator
22:42 mode and mindset
22:45 without having to think about AI.
22:48 And
22:50 if you if you don't have that in your
22:52 life, if you don't have some version of
22:55 pick up the crocheting needles, write a
22:57 novel, um start a business, start a
23:00 invent a new kind of pizza,
23:03 uh invent a new kind of math,
23:07 I don't know.
23:09 I'd get that going. I'd get that going.
23:11 Feels important to me because otherwise
23:14 if work becomes optional and you opt out
23:17 of it and you don't have purpose, you
23:19 don't have a sense of who you are and
23:21 what you want,
23:24 I think it's going to suck.
23:27 Math on pizzas. Well, they are pie
23:33 3.1415 if you know what I mean.
23:36 It's a different kind of pie.
23:40 It doesn't have an E. You see, that's
23:42 the comedy part. You thought I was
23:44 talking about pizza pie. I was just
23:47 talking because it's round. It's a
23:49 circle. 360 degrees. 3.145.
23:55 Oh, I love math comedy.
24:00 Dundler Clump. Dunder Clump. UBI will
24:04 never arrive in the USA. If that type of
24:07 mechanism would exist, there would be no
24:10 trillionaires, billionaires in the USA
24:11 today. Um, here's where I'll push back
24:14 on you, Dunderclump.
24:17 I guess is that a Dunder Mifflin thing?
24:19 Because it's a very funny name. Um,
24:23 first of all, using the word never in
24:26 the age of AI, I think is there's my
24:30 first there's my first signal.
24:32 um that that might just be a trope that
24:35 that that you're just saying. You're
24:37 just saying that [ __ ] Um I don't
24:40 disagree with you that the billionaires
24:43 and trillionaires
24:45 have no interest, zero interest in
24:48 giving up any of their upside
24:50 profitability. However,
24:53 do you remember back in 2020 around
24:56 March
24:59 when on a single day or maybe it was two
25:03 days the entire globe
25:07 decided to stop going to work
25:12 and we just did it.
25:14 There was a precipitating event
25:18 that had enough risk in it
25:21 that we took a hundred years of
25:25 behavior and we just changed it
25:29 overnight. Boom.
25:34 If
25:37 AI's gain in productivity is linear
25:42 and it really doesn't reduce the
25:43 workforce by much, let's say that, you
25:46 know, here's our GDP growth and then AI
25:50 causes a 2% dip, incremental dip on top
25:54 of
25:55 existing unemployment. So we go from
25:58 whatever four to six
26:02 and and you know
26:05 GDP is going like that. You're
26:08 absolutely right. You're absolutely
26:10 right.
26:12 If if it if it takes as long as the
26:17 industrial revolution, so when the steam
26:19 engine came out, it was 40 or 50 years
26:22 before 80% of farmers were eliminated.
26:27 So that's like what is it two and a half
26:28 generations? Is it 20 years for a
26:30 generation? 20 25 years. I don't know. I
26:32 don't know how that works. I think it's
26:33 20th. Aren't there five generations in a
26:35 century?
26:38 So over two and a half generations,
26:42 the steam engine replaced 80% of jobs.
26:45 Now, if we're in a situation where
26:48 productivity is going like this and the
26:51 amount of people needed to do it go like
26:53 this and then all of a sudden this goes
26:56 up dramatically and this goes down
26:58 dramatically, that gap,
27:02 we were there. And if it does that
27:06 in the course of three years, even five
27:08 years,
27:10 if we go from 4% to 10 to 20 quickly,
27:16 that's effectively an economically
27:18 catastrophic event. So
27:22 industry will not be able to keep all
27:24 the profit. Government will have to step
27:26 in. And what what will likely happen is
27:29 government will step in and say who's
27:32 who is the beneficiary of this increase
27:36 and they will tax them is my guess.
27:40 Um David Shapiro if you want to look at
27:43 um some of his work on post labor
27:45 economics is really um thoughtful on
27:48 this. Um he's got a whole sort of local
27:52 solution to this that doesn't require
27:54 centralized UBI. Um centralized UBI in
27:58 his model I think accounts for 10 or 20%
28:03 of the total pie and most of it has to
28:06 do with local resources.
28:08 Um I I dunder think it may happen in
28:12 Europe where taxes are not a dirty word
28:15 just not here in the USA. the well the
28:16 thing I'm saying um Dunder is um
28:21 it's it's possible if AI does not have a
28:24 dramatic impact on on the workforce if
28:28 it has a dramatic impact then then I
28:30 think you have to because because if you
28:32 end up 20% in unemployment you have a
28:35 revolution on your hands so so like
28:39 here's the thing about the the the rich
28:42 class they're not [ __ ] stupid they're
28:44 they're they're rich for a They know how
28:46 the game is played. They know how to
28:48 manipulate the machine, right? And they
28:51 understand how the machine works. And
28:52 they also understand that if certain
28:55 elements of the machine get too far out
28:57 of whack,
28:59 it will go bad for them.
29:02 There are books that talk about this.
29:05 You've seen this before,
29:10 but we'll see. You could be right.
29:13 I just, you know, I just I, you know,
29:15 had we not had COVID, I would be
29:17 absolutely in your camp, but but we all
29:20 got to experience what happened when
29:21 there was a catastrophic risk um and the
29:25 United States included um you know did
29:28 the quarantine thing. So, same thing
29:32 will happen with AI and economics at
29:34 some point.
29:37 I don't know how fast it's going to go.
29:39 Business is really slow to adopt [ __ ]
29:42 So instead of three to five years, it
29:45 might be five to 10 years. It might be
29:47 five. It might be 10 to 20 years. I
29:49 don't know. But I just don't I think
29:52 2026 is going to change some [ __ ]
29:56 I think 2026 is where we're going to
29:57 start to see the first non-janky AI.
30:02 AI from from November 30th, 2022. I'm
30:05 counting that as the beginning of the
30:06 generative AI era. So, we just hit this
30:09 week is the third year anniversary of
30:11 chat GPT.
30:14 I would say we are still firmly in the
30:18 AI is a janky piece of [ __ ] phase
30:22 of AI. Um,
30:25 the hallucinations are unmanageable.
30:28 Um, the like vibe coding things wiping
30:32 out people's hard drives is
30:34 unmanageable. autonomous agents that
30:37 [ __ ] things up are unmanageable. The
30:39 physics in movie generation is
30:41 unmanageable. The lack of character
30:43 consistency for storytelling, the lack
30:45 of coding consistency, the lack of
30:47 security in coding, every in every
30:50 single discipline, things are jankier
30:53 than [ __ ]
30:55 I think we start to see that change in
30:57 2026. There will be an example or two of
31:01 a system that's built that's like, "Oh,
31:05 well, that's interesting." H
31:09 I didn't think they'd get that good that
31:11 fast.
31:19 And if that happens,
31:23 keep coming here. Pay attention. Pay
31:25 attention. Like, uh-oh. What did I do?
31:29 >> You didn't do anything other than
31:31 forgetting to open Miro. So, I have This
31:33 is the only way.
31:34 >> I can't see I can't I can't see it at
31:36 all. My whole
31:36 >> Yeah. So, I figured um couple things
31:38 though to to interrupt. Um one, Hedra
31:42 dropped on Twitter or X as they call it
31:45 now. Uh that a option to sketch a video
31:52 into existence. They're calling it head
31:54 draw and they're offering a credit promo
31:59 if you comment their headaw. They they
32:03 just DM'd me like 500 free credits to go
32:06 play with the new head draw. It's not
32:08 available if you go to the website, but
32:10 if you DM them or send them a comment on
32:12 their latest expost. Um
32:15 >> did you put that in the in the thing?
32:19 >> I I did not, but I will. But it's a
32:21 limited offer, you know, first come,
32:23 first serve. Um, also, uh, I since we
32:26 were talking about staying tuned to
32:28 what's going on in the future, figured
32:30 it would be a great time to talk about
32:32 Festivus. Now, I'm going to go.
32:34 >> Perfect. Lovely. So, let me talk about
32:36 Festivus. So,
32:39 um,
32:41 it is December 3rd.
32:45 Three.
32:48 December 3rd,
32:51 three weeks from now,
32:54 right after the holidays. I don't know
32:56 if I'm allowed to say Christmas, but
32:58 Christmas shortly after that, and other
33:02 related holidays.
33:06 And I don't know enough about the other
33:07 holidays to know when they land because
33:08 I'm I'm just I'm ignorant. Okay.
33:14 So, after the holidays, but before New
33:16 Year's,
33:18 the AI Salon and She Leads AI are
33:21 putting on AI festivists. And if you
33:24 could pull the
33:26 um what you call it up there, Brandon,
33:28 the uh the banner,
33:34 if you go to aifestivist.com,
33:36 there you go. Go to aifestivist.com.
33:42 Let me do that. Beautiful.
33:44 Um, go to afestivist.com.
33:47 You can register there,
33:50 but we've got a whole bunch of things.
33:51 We are looking for sponsors. You can
33:54 sponsor as an individual. We've got like
33:56 a friends and family sponsor thing.
33:58 We've also created a virtual trade show
34:01 booth. So, Festivist this year is going
34:04 to have a trade show booth. And I think
34:06 the the the trade show booths start at
34:08 like a hundred bucks or 50 bucks, like
34:10 something really cheap, and then I think
34:11 they go up from there.
34:13 um like just for a basic text listing is
34:16 really cheap and then if you want a
34:18 picture it's a bit more so we have a
34:20 trade booth thing.
34:22 Then we're also selling
34:26 the deluxe replay kit. So the deluxe
34:29 replay kit. So, if you don't know what
34:31 Festivus is, it's 24 hours of
34:35 programming on Friday and Saturday,
34:38 December 26th and 27th from 9:00 a.m. to
34:41 9:00 p.m. Pacific. Reg festivist last
34:44 year was awesome. It was incredible.
34:47 Okay. Ail produced by Brandon. Um,
34:53 it was really remarkable. So, we're
34:54 going to have speakers for all 12 hours
34:57 uh on each day. Um,
35:01 a fair amount of those presentations
35:04 will be hands-on teaching you how to do
35:07 stuff, teaching you how to build stuff.
35:09 You know what we're going to do? We're
35:11 going to do an hourong how to create a
35:13 digital twin workshop.
35:16 Um,
35:18 that gives you what the $995
35:22 Tony Robbins thing gave you.
35:25 So, so if you want if you want to get
35:28 what you could have gotten at the Tony
35:30 Robbins thing, but for free, you can do
35:33 that here. So, you're going to want to
35:34 buy the um the replay package. Okay? Get
35:38 it now because it's discounted.
35:40 So, go do that. And then the final thing
35:42 that I'll say about Festivus down toward
35:44 the bottom, and this is a request for
35:47 all of you. My request is there's an
35:50 area that says there that says help us
35:52 promote Festivus. And there's a
35:54 hyperlink
35:56 to a page with all of the graphics on
35:58 it. So, we've made you all these cool
36:00 graphics like this thing. And we've made
36:02 a bunch of social graphics that are I I
36:04 think they're called copy swap swap
36:08 boxes or something like that. You can or
36:10 swipe. I don't It doesn't [ __ ]
36:12 matter. Social media kids have a word
36:14 for it. It is a folder of files,
36:18 images that you can go share on social
36:20 media. So, go to aifestivist.com. scroll
36:23 down toward the bottom and say, "Help us
36:24 promote Festivus." Go get yourself some
36:27 graphics and go make some Twitter ads.
36:32 And if you're like, "I don't I don't do
36:33 Twitter ads, but I do X ads."
36:37 Okay, you're superior to me. Fine. Go
36:42 make some X ads. Go put some on
36:44 LinkedIn. Go put some on Facebook.
36:47 Put an ad in your Facebook feed and
36:50 watch the vitriol of your family and
36:53 friends eviscerate you for daring to
36:57 talk about AI in a way other than its
37:00 evilness. Swipe files. Yes, that's what
37:04 it is. Vicki knows.
37:06 Thank you, Reggie. Will do that. See,
37:09 Reggie's attitude is the right attitude.
37:12 people, you know, all of you people who
37:14 didn't respond with will do.
37:17 Wrong attitude.
37:19 What a great idea. Isn't that cool?
37:21 Swipe files. So, go to aifestivist.com,
37:24 scroll down, help us promote Festivus,
37:26 click on the hyperlink, and then there's
37:28 a bunch of cool [ __ ] It'll make you
37:31 look like you're like one of the one of
37:33 the in gang because you are
37:38 already promoting. I Oh, Suzanne, your
37:41 posts are great, by the way. Thank you.
37:42 I'm on it. Mary, Mary, beautiful.
37:45 We got to get the word out.
37:48 I mean, honest to God, the the the
37:52 quality, the level of education that
37:55 people are going to get in two days
37:58 between the holidays and new year for
38:01 free is insane.
38:04 It's absolutely insane.
38:08 Pavan will share with all my friend.
38:09 Terrific. Beep beep boop. Serenity now.
38:15 Calm down. Breathe. Yes. I'm on it.
38:19 Unbelievable. Terrific. I've invited
38:21 several behind the scenes. Beautiful.
38:23 Love it.
38:26 This is what I like to see. Some
38:27 enthusiasm. I can't talk too loud. I
38:30 feel like I'm some neighbor's going to
38:32 bang on the door. Shut the [ __ ] up
38:34 there, you big [ __ ] What are you
38:35 talking about? The [ __ ] AI.
38:44 I don't know. Whatever hair product I
38:46 got working, man, it's
38:49 it's a it's a banger.
38:53 Yeah.
38:56 I don't like to brag, but this is nearly
39:01 real. Oh, yeah.
39:10 Um,
39:12 did you bring your pink bow? I did not
39:14 bring my pink bow.
39:20 Nice wig. Thank you. It's actually four
39:22 tupes weaved together with um, spider
39:24 silk.
39:27 So, you can't you can't actually see the
39:28 boundaries. Uh, oh, I've done something
39:30 wrong.
39:31 >> No, that's okay. I I just also wanted to
39:34 remind you about Salons's Got Talent and
39:36 the special prize I left for you on the
39:38 contest page.
39:39 >> Oh, good. Okay, cool. Um, okay. So,
39:43 that's a whole another thing. Let's go.
39:47 So, wait. I've got to share. Let me
39:49 share. Let me go here. Let me go back
39:52 here. No, that's not right. Let me go
39:54 here. Let me go here. Let me go here.
39:56 Okay. Here. Let me go here. Calm down,
39:58 everybody. I'm going to share my tab.
40:01 I'm going to share that community event
40:03 tab. Beautiful.
40:05 Um, where's it announced? Is it in
40:07 community feed, Brandon?
40:11 >> Uh, challenges and competition.
40:14 >> Okay.
40:20 So if you go to Yan AI salon
40:26 and on the left hand side you scroll
40:27 down
40:30 um to play and create and there's
40:34 challenges and competitions. If you
40:36 click on that, Brandon
40:38 is hosting or has put together
40:42 Salon's Got Talent and it's a video and
40:45 I don't Why am I nervous to push this
40:47 play button?
40:49 I think I should be.
40:52 Oh boy.
40:54 Oh, it's not a video. Oh, it's a video.
40:58 Welcome to AI Salon's Got Talent. Good
41:00 luck to the contestants.
41:08 I I really have to redo my cameo to not
41:12 have that shitty boring shirt.
41:21 Be afraid. Be very afraid. Okay. Submit
41:24 your artwork here. So, here's what we're
41:25 going to do. from December 3rd, which is
41:29 today, until December 10th, you can
41:33 submit your work. So, we're we're doing
41:35 and it can be any kind of work you want.
41:37 There's no restrictions on it. There's
41:39 no theme to it. We just want work that
41:41 you're proud and excited to share, okay?
41:45 And you just submit it here and then
41:48 people are going to vote on it. We're
41:49 going to basically do a vote thing. It
41:51 can be songs. It could be poetry. It
41:53 could be um a movie. It can be It
41:56 doesn't matter. It can be an app that
41:58 you vibe coded about running through a
42:00 subway. Doesn't like can literally
42:02 anything. What I would encourage you to
42:04 do leaning into the AI mastermind
42:07 practice
42:09 is elevate your game.
42:12 Don't just submit anything. Don't just
42:14 submit something. Really think about
42:17 what could you submit for this? what
42:19 could you do that's really in line with
42:20 who you are, something you're really
42:22 proud of or something you really believe
42:24 deeply in and submit that. And don't be
42:28 afraid to submit multimodal entries like
42:31 maybe you submit a video game, but you
42:34 submit a video that talks about the
42:36 video game and maybe you submit, I don't
42:37 know, some sort of deck that explains
42:40 it. I don't know. Be creative with it.
42:43 Okay, Kyle is rocking that look.
42:47 Kyle's just tired and does not care.
42:54 But but thank you to Brandon for uh for
42:56 putting that together. Um it's a really
42:58 cool idea. So the the winners will be
43:02 announced uh during Festivus and the
43:05 overall winner wins an AI salon
43:07 mastermind practice uh membership for a
43:12 year.
43:14 Um, and uh, and that's really cool. I
43:17 like that. I think that's powerful. So,
43:20 you can submit more than one entry. Yes.
43:22 Well, I don't know. I didn't make up the
43:24 rules. Brandon, can they submit more
43:26 than one entry?
43:29 It's up for debate. Um, we're just kind
43:32 of building this boat as it's sailing
43:34 down the canal. Um, so I would say if
43:36 you have two different pieces that you
43:38 really feel uh compelled to enter and
43:40 they're different, you know, don't flood
43:42 the zone with a hundred different pseudo
43:44 tracks. But, you know, if you I would
43:46 say, yeah, with the more creativity, the
43:48 better.
43:49 >> Yeah. And quite frankly, I mean, it's
43:50 like, you know, you're gonna if you if
43:53 you submit too many pieces, you're going
43:55 to dilute your vote, right? So, you
43:57 know, you're going to split it across
43:59 things. But, yeah, I don't I don't see
44:01 any reason why not, especially if it's
44:03 different categories.
44:05 Right. Yeah.
44:06 >> And um by the way um while I'm here um
44:11 we have a V2 of the uh Subway Surfer
44:15 game if you'd like to.
44:16 >> Very nice.
44:18 >> We've been hard at work. Um
44:25 >> Instead of producing, he's been hard at
44:26 work making the subway
44:28 >> for Daniel.
44:29 >> So now we do we can jump on the rats.
44:32 >> Oh, wait. You're gonna you'll change the
44:34 uh share.
44:35 >> Oh. Uh yeah. Uh
44:40 >> so we've got holes to jump over now.
44:42 Don't fall in the tracks.
44:43 >> Go full screen.
44:46 >> I don't know how actually.
44:48 >> It's in the upper right, isn't it?
44:52 >> Yeah. The the out button. The up arrow
44:55 out button.
44:57 >> Oh.
44:59 Uh nope. I select and ask.
45:02 >> Yeah,
45:04 >> I don't know. Ask your producer. But the
45:07 point is, and the reason I wanted to
45:09 jump back up here and share this is
45:11 because we do now have, and I just need
45:14 to wait for one to show up. We do now
45:16 have a pizza.
45:18 >> That's awesome.
45:19 >> And the pizza rat is worth 500 points.
45:23 >> Of course, now that we're asking for a
45:25 pizza rat, we won't get one. There's a
45:26 pizza rat.
45:27 >> Pizza rat. Oh, nice. That's awesome.
45:33 I I shared this in the regulars. So if
45:35 you wanted challenge for the high score
45:39 >> Oh, that's a good idea. Reggie just said
45:41 uh people should share what tools they
45:43 used for their entries. I think that's
45:44 not a bad idea.
45:46 >> Yes,
45:48 Groovy.
45:49 All right. Fantastic.
45:53 Let me go to this window here. No,
45:57 that's the one I'm in. Go this window
46:00 here. Move that down there.
46:04 Beautiful. Do this here. All right,
46:08 we're back. So, AI Festivus
46:11 AI um AI's Got Talent. And then also, if
46:16 you're not a member of the AI salon,
46:19 go to the salon.ai, learn about what
46:22 we're up to. We are a community of AI
46:25 optimists and people that are trying to
46:30 figure this [ __ ] out. And just to say
46:31 that we're optimists doesn't mean that
46:33 we don't have doubts.
46:35 This is not blind optimism.
46:39 This is looking at
46:42 what the AI salon's about. What this
46:44 channel is about is acknowledging the
46:47 fact that AI is transformative and it's
46:51 not going away. Like that simple. No
46:54 judgment on it.
46:57 Just that the nature of what it is, the
47:01 powerfulness of it
47:03 and all this investment means that it's
47:06 transformative and it's not going away.
47:09 Okay?
47:11 So if it's transformative and it's not
47:13 going away, then we as humans have two
47:17 choices.
47:20 This is binary. I normally hate binary
47:23 thinking.
47:26 Binary thinking it's this or that.
47:28 Right? Genius of and is additive. Binary
47:31 thinking is this or that.
47:35 The one place
47:37 that I will accept binary thinking is if
47:40 AI is transformative and it's not going
47:42 away, then here's the two choices. And
47:46 they're quite simple.
47:48 You deal with it or you don't.
47:53 That's it.
47:57 It's not like you have to go to Stanford
48:00 and get a degree in math or not. No, you
48:03 deal with it or you don't. And what
48:05 dealing with it looks like is just
48:07 [ __ ] learn what it is.
48:10 [ __ ] play with it. Experiment with
48:13 it. Understand it. Not all of it. just
48:16 understand a piece of it.
48:21 If you choose not to engage with it,
48:25 then what ends up happening if it's
48:27 transformative and it's not going away,
48:30 it will transform your world
48:35 without you knowing what was coming. It
48:38 will completely blindside you and that's
48:40 going to suck. So, don't do that.
48:43 Keep coming back here. The the purpose
48:45 of this channel is one
48:50 hair advice,
48:52 hair inspiration.
48:55 Right. The second goal of this channel
48:59 is for you to just be in the
49:01 conversation.
49:03 Just be in the conversation. Be chatting
49:06 with people here. Hey, what are you
49:07 doing? How'd you do that? You doing
49:09 anything good, Kyle? What's all this
49:12 nonsense about? Whatever's the news of
49:14 the day. Just being in the conversation
49:17 just means that you're aware that
49:19 there's this thing
49:21 and it's coming. It's coming. It's
49:23 coming. It's coming and it's here and
49:25 it's here and it's here and it's here.
49:30 And if you're one of those at this point
49:33 minority people
49:35 that are paying attention to this, one
49:38 of the things that we found in here is
49:40 that AI rather than being this thing
49:42 that we have to compete against
49:46 us versus the machine, binary thinking,
49:49 AI bad, human good,
49:53 there's another way. There's an
49:55 enlightened way.
49:57 AI is a thing that is transformative and
50:00 it's not going away and I'm a human with
50:03 ideas
50:05 and rather than competing with an AI
50:08 that's getting increasingly powerful
50:12 like going to be more powerful than me
50:15 in fact I would say a year and a half
50:18 two years ago AI was more powerful than
50:21 me for me that ship has already sailed
50:27 Rather than me competing with that, what
50:30 I can do and what all of us can do is we
50:33 can say, "Wait a minute.
50:35 I'm the captain now. I'm the captain
50:38 now.
50:41 I'm driving this ship." And the ship is,
50:45 in my case, Kyle Shannon.
50:48 And I get to say, "Well, who am I? What
50:51 do I believe in? What do I like?
50:54 What's the change I want to make in the
50:56 world? How do I want to do that? Do I
50:58 want to be creative? Do I want to?
51:00 Right.
51:01 And then when I have that idea, now I
51:04 can just take AI, strap it on like a
51:08 jetpack,
51:11 and it amplifies. It pushes me forward.
51:15 It's not me versus AI. It's me amplified
51:18 by AI.
51:23 What was I made for? Yeah. Listen to the
51:27 Barbie song.
51:31 I used to
51:43 waffles I made for.
51:48 As strange as it sounds, I think that is
51:51 our job in the future.
51:54 To be a Barbie. I was on there and he
51:57 said the job our job in the future is to
51:59 be a Barbie doll.
52:02 I thought that was kind of silly. I
52:03 didn't understand that. I don't even
52:05 like pink.
52:08 I I I don't understand what he was
52:09 talking about.
52:12 Our
52:14 job is going to be answer the question,
52:16 what was I made for?
52:21 And you will now have the tools and the
52:24 capacity
52:28 to do that.
52:31 Oh, but I don't have enough resources. I
52:32 don't know. My idea is an application.
52:35 And I have never learned a line of
52:37 programming in my life. I'm not very
52:39 technical. I'll tell you that. I'm not
52:41 very technical.
52:48 Anything you want to do, you're going to
52:50 be able to do.
52:52 So, what are you going to do?
52:55 Figure that [ __ ] out. Start now. Daily
52:58 daily practice. The AI salon mastermind
53:02 practice is a structured framework. We
53:05 created a nine-stage framework for
53:08 designing and practicing a daily
53:11 practice
53:13 that centers around the human first and
53:17 AI as the augment
53:19 as the amplifier.
53:21 All right, Weaver, what's happening?
53:24 We're shaking. What's going down? We got
53:27 De Don Lrod
53:30 Coupe in the house. That is a great
53:32 name.
53:34 name is Don Lrod Coupe. How may I help
53:37 you?
53:39 I hope you're here to fix my hair, Don,
53:41 because this is a
53:44 This is
53:46 This is AI generated. Okay,
53:51 do you want to know the state of AI?
53:53 This is AI generated.
53:56 That's where we are.
54:01 Good lord, it's a mess.
54:06 We love your hair.
54:17 Oh, let's see. I'm using that as my
54:20 excuse for hearing out. My hair is AI
54:23 generated
54:25 or just this is AI generated. Anything
54:27 that's bad, this is AI generated.
54:31 I I cannot be held responsible. I use
54:34 chat GPT to create this hairstyle.
54:38 It's pretty good.
54:44 I'm sorry, sweetheart. This was AI
54:46 generated and I'm on the free version.
54:49 That's even better.
54:52 This is Yeah. Sorry. No, this was the
54:54 free version of Perplexity. Yeah. Yeah.
54:57 No, I know. I know. It's just for
55:00 another 24 hours and then uh we'll be
55:02 back to normal. We'll have a normal
55:05 Sears robot carpet salesman kind of
55:08 situation. But right now, we've got
55:11 chaos.
55:13 Oh man, where can I find instructions
55:16 for the competition? If you go to the AI
55:18 salon, so go to community.thesalon.ai
55:21 AI.
55:23 And then down the left hand side in the
55:25 play section, there's a couple of
55:27 sections before I think the play section
55:29 is number three. There's challenges and
55:32 competitions. So, it's like two two
55:34 spaces down in the play section is
55:37 challenges and competitions.
55:40 How would you even prompt it?
55:49 I I'm an old man. Make me look hip.
56:03 Oh god.
56:08 All right, kids. Listen. I gotta get the
56:10 [ __ ] out of here. I gotta get to bed. I
56:12 got Listen,
56:15 I got musicals to sell.
56:18 Well, I got one.
56:20 I'm not a broker. If If you're out there
56:23 and you're like, "I've got a musical,
56:24 Kyle. Could you go sell mine, too?" No.
56:30 I've got one musical I'm trying to
56:31 produce.
56:33 You know how hard this is? Do you know
56:35 how much the world wants another musical
56:38 right now?
56:41 Nobody wants another musical. I'll tell
56:43 you, did I tell you this? Um, my the the
56:47 woman that I'm staying at, Kathy, her
56:50 daughter, Sallyanne,
56:53 she's funny. She's this this is from my
56:56 wife's family, so they're from the
56:58 Bronx. So, they're they're, you know,
56:59 they're they're New Yorkers, right?
57:03 So So, so Sally's really smart and she
57:06 knows all about culture and stuff like
57:07 that. She knows storytelling. She knows
57:09 novels and books and things. So I'm I'm
57:11 showing her the musical and I'm we're
57:14 going through the songs and about the
57:16 fourth song in Sally goes, "You know, I
57:20 [ __ ] hate musicals." She goes, "This
57:23 is the kind of song that if I were in
57:25 the Broadway theater and I heard this
57:26 thing spin up, I'd walk out." She goes,
57:29 "This is definitely a Broadway show.
57:32 This should be on Broadway." I just
57:33 [ __ ] hate musicals.
57:38 That's the best.
57:40 So good.
57:47 Source camp. Um, I would like another
57:49 musical, please. Listen, we need a
57:51 Hamilton replacement. We really do. We
57:54 need a Hamilton replacement. Sydney is
57:57 the next Hamilton. Okay?
58:00 So, Sydney's going to be it. So, I'm
58:02 here in New York. I'm here in the Big
58:03 Apple talking to big-time producers.
58:07 We don't have a path. We don't have a
58:09 plan yet. This is a this is a working
58:11 meeting. We're collaborating on what the
58:13 [ __ ] we need to do to get this thing
58:15 mounted in some way.
58:19 And
58:21 and I'll tell you
58:24 I'll tell you my dream. I went to the
58:26 public tonight,
58:29 the public theater
58:32 right down there on St. Mark's place and
58:37 I took me some pictures of it and I went
58:39 inside. Uh-oh.
58:41 What's happening? Oh,
58:45 physical dexterity challenge. Hang on.
58:51 I took pictures of it. So,
58:55 my dream would be we workshop it
58:57 somewhere. Well, I I'll just say this
58:59 out to the universe. Hamilton
59:02 workshopped at the 52nd Street project.
59:06 So, I could see us doing like a, you
59:08 know, a small
59:11 uh what do you call it? A a uh a modest
59:16 workshop at something like 52nd Street
59:19 Project where some producers get to come
59:22 in and hear the words and hear the songs
59:24 and see the movement, see the actors and
59:27 see Sydney come to life.
59:30 And then how I'm imagining it, we go
59:32 from there to the public
59:35 because the public is just it's the
59:37 public theater. It's where Hamilton
59:39 started.
59:40 So Hamilton started at 52nd Street
59:43 Project as a workshop.
59:46 Well, actually, Hamilton started as a
59:50 song that was sung for President Obama
59:56 that made such a racket that they had to
59:59 turn it into a musical. I I assume Lyn
1:00:02 Manuel intended to turn it into a
1:00:04 musical anyway, but he had a little bit
1:00:06 of a leg up there, plus a Tony for In
1:00:09 the Heights before that. So, for for
1:00:11 what it's worth, he was doing okay.
1:00:14 So, so we're going to do 52nd Street
1:00:16 Project workshop. Then we're going to go
1:00:18 we're going to do a production at the
1:00:20 public.
1:00:22 It's gonna go at the public and then
1:00:24 we're going to full [ __ ] full send to
1:00:25 Broadway, baby.
1:00:29 That's the That's the dream. That's
1:00:30 where we're [ __ ] going. All right.
1:00:35 Now, you might look at me and say,
1:00:38 "Kyle,
1:00:40 that's a ridiculous dream."
1:00:44 Yes.
1:00:45 Next thing you know, Kyle and Suno will
1:00:47 be scoring in KTO 3. Maybe. Maybe I'll
1:00:53 be there to see it. I have faith. Oh, I
1:00:54 have faith. I'm really excited. I'm
1:00:56 really excited. It's just when I say
1:00:59 stuff like that out loud, I'm like,
1:01:00 "Good Lord, that's ridiculous to say."
1:01:03 And at the same time, why not?
1:01:08 Why the [ __ ] not?
1:01:12 It's a story that should be told. It's a
1:01:14 It's a good story. It's good songs.
1:01:18 If the woman that's If the woman that's
1:01:20 like, "I hate [ __ ] musicals and this
1:01:23 is the song I would walk out on, but
1:01:24 yes, this should be on Broadway. These
1:01:26 sound just like Broadway, then [ __ ]
1:01:28 let's put it on Broadway. We want her to
1:01:31 walk out of this musical." And here's
1:01:32 the secret. She loves musicals. That's
1:01:35 what I found out from another family
1:01:36 member, Sallyanne.
1:01:39 You don't [ __ ] hate musicals. All the
1:01:41 musicals that Melissa saw, you told her
1:01:43 to see because you saw them and loved
1:01:45 them. So, you love musicals deep down.
1:01:48 Liar.
1:01:56 Important question. Are we going for
1:01:58 another subway ride together? I will do
1:02:02 I'll do I'll go live tomorrow uh in the
1:02:04 subway. I think the subway rides are fun
1:02:07 because I just realized everyone on the
1:02:08 on the subway is on their phones and I
1:02:11 assume not everyone's live on the
1:02:14 subway, but I'm like, are they going to
1:02:17 know that I'm live? I'm like, no,
1:02:18 everyone's got their phones up. So, I
1:02:20 just pretend like I'm looking at
1:02:22 stuff and I'm sure it's illegal as hell.
1:02:25 I'm, you know, I there's going to be a
1:02:28 knock by the feds on the door. Are you
1:02:31 Mr. Kyle Shan? Yeah, we are you you're
1:02:36 affiliated with the uh artificial
1:02:39 intelligence learning laboratory. Is
1:02:41 that that's the case?
1:02:44 And I don't know why this New York cop
1:02:46 sounds like a Midwest farmer.
1:02:52 But that's what you get tonight. I'm a
1:02:55 little tired.
1:02:58 All right. Kristen Chennowith.
1:03:00 Um, no. I don't think she's right for
1:03:02 it. Um, Lauren Allred is the is the is
1:03:07 the woman that um I had in my mind when
1:03:11 I wrote Sydney.
1:03:13 Um, she's the one that sang she's the
1:03:16 voice of the the song the u Never Never
1:03:21 Enough Never Enough in Greatest Showman.
1:03:24 Um, she was on Britain's Got Talent
1:03:26 singing that and kind of revealing that
1:03:28 she sang that song. She's she's amazing.
1:03:30 Um but then we just watched um there
1:03:34 there's a musical there's a documentary
1:03:36 out right now about Hamilton about the
1:03:39 woman that that initiated the
1:03:43 one of the lead roles.
1:03:46 I forget her name. Rebecca someone um
1:03:48 she could be really good in it. Um
1:03:50 there's a woman a young woman that was
1:03:53 in In the Heights, a Hispanic woman that
1:03:56 could be good for it. Um,
1:03:59 I don't know. A lot of people could be
1:04:01 good for Sydney because
1:04:04 Sydney is really just manifested in
1:04:07 Kellen the tech reporter's mind. So,
1:04:09 whatever he thinks she should be, that's
1:04:11 what she is. You know, like it is. Um,
1:04:16 you can just pretend you're FaceTiming.
1:04:18 Oh, that's a good idea. That's true. Oh,
1:04:20 yeah, Mom.
1:04:22 Yeah, Mom. Good to see you, too.
1:04:29 You know the Sally,
1:04:33 you know that Sallyanne said she hated
1:04:35 musicals,
1:04:37 but but she keeps going to musicals. If
1:04:39 she hates them, why does she go?
1:04:44 Glad to see the Glad to see Broadway
1:04:47 moving away from Marvel. Well, they got
1:04:51 to produce my play to move away from
1:04:52 Marvel, but yes, I agree. All right, I'm
1:04:55 going to go. Um, peace out everyone.
1:04:57 Hope you had fun tonight. Bye.