10/30/2025 - Artificial Intelligence as a Daily Practice for Human Growth and Creativity

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0:01 Are you ready?
0:05 [music]
0:10 [music]
0:18 [music]
0:31 >> [music]
0:38 >> freedom came my way that night.
0:44 Just like a jet plane in and out of
0:48 sight,
0:50 I was hauling ass at a million miles an
0:53 hour. wondering how I'd hit
1:00 when [singing] they came into the
1:02 station.
1:06 They said I was beyond repair,
1:12 but I got no problems with my situation.
1:18 Say [singing] here I am.
1:25 So [singing] say [music] Sheree Sheree
1:28 Sheree won't you dare to [singing]
1:32 say Sheree Sheree Sheree won't you
1:35 [singing] dare to [music]
1:37 say Sheree Sheree Sheree [singing]
1:42 uh
1:44 yeah leave a message and your number
1:48 please
1:51 take a time to walk to satis satisfy me.
1:56 >> Take all these old [singing] fantasies
1:58 and send them care of me.
2:02 [music]
2:07 All right, good people. Good, good,
2:10 good. What? No tick tock. Vicki,
2:15 you know we're on Tik Tok.
2:21 >> [music]
2:27 [music]
2:36 [music]
2:38 >> Hello.
2:43 Uhoh.
2:44 [music]
2:52 >> [music]
3:00 >> She came on him like slow moving cold
3:04 front. [music]
3:08 His beard was [singing] warmer than a
3:10 look in her eye. [music]
3:16 She sat on [singing] a stool and he
3:18 said, "What do you want?"
3:21 [music]
3:23 She said, "Give me a love that don't
3:26 freeze up inside." [singing]
3:30 [music]
3:35 Said I have melted all of my time here.
3:42 But to sit next to you, well, I shiver
3:45 and shake. [music]
3:50 If I knew love, well, I don't think I'd
3:53 be [singing and music] here.
3:57 Asking myself if I've got what it takes
4:03 [music]
4:04 to melt [singing] your icy blue heart.
4:08 Oh,
4:10 [music]
4:11 she has time.
4:13 [singing] Turn what's been frozen for
4:17 years [music]
4:20 into a river of tears.
4:24 [singing and music]
4:33 >> [music]
4:37 >> Oh,
4:39 got it flowing tonight.
4:42 [music]
4:43 Side hustle. Mimi has a bad connection.
4:46 Sorry, we're not going to be able to do
4:47 the show tonight. If Side Hustle can't
4:51 get all of this, I I guess she's going
4:54 to have to watch a recording. It's
4:56 Listen, this is not easy. We're in tough
4:59 times. Right.
5:02 Cams. Yes. Cameras. There we go.
5:05 Fantastic. Beautiful. Lovely. Black bar.
5:08 Uh Kyle, if you could go on ahead and
5:10 put the black bar up for the people on
5:12 Tik Tok. The people on Tik Tok are
5:15 really looking for a little support
5:16 here. Kyle. You understand what we're
5:19 saying? Oh, Kyle. Good lord. What a
5:22 mess. What a mess we've got here. What
5:25 is going on?
5:28 Just everybody calm down. Especially
5:30 producer Brandon. He's over there. He's
5:32 post-it note raging.
5:42 [music]
5:47 >> [music]
5:52 [music]
6:00 [music]
6:02 >> See the hill is quiet south where old
6:05 trees sway. [music]
6:08 Whisper of the pants echo through
6:10 [singing] the day. [music]
6:13 People
6:15 greet you with a nine. [music]
6:18 Nothing ever seems to change.
6:22 Stories still unfold. It's unique and
6:25 strange.
6:26 [music]
6:32 [music]
6:40 Uh, if you're new here, welcome. My
6:42 name's Kyle Shannon. This here is the AI
6:44 learning lab.
6:46 And you're thinking like, well, it
6:47 sounds like the mediocre old guy singing
6:50 songs lab. Close. It's very close. Very
6:53 close to that. And then after I get
6:55 bored with this and the dog falls asleep
6:57 because he's tired of singing, then we
7:00 move on and we start talking about
7:01 things. Usually some sort of
7:03 philosophical
7:05 brain fog that I am swimming through.
7:08 Occasionally,
7:10 occasionally,
7:11 if you hang out long enough, there's a
7:14 pearl of wisdom that can be gleaned from
7:16 something. It's kind of like the the the
7:19 thousand monkey, the million monkey
7:22 theory, right? An infinite number of
7:25 monkeys on an infinite number of
7:26 keyboards will eventually type out the
7:29 complete works of Shakespeare.
7:31 [laughter]
7:32 So, so you just got to hang out and and
7:35 potentially three or four words from
7:38 some lesserk known Shakespearean play
7:40 may get strung together here. All right.
7:43 So, so that's the kind of that's the
7:46 kind of insights that we promise here at
7:48 the at the AI learning lab. Oh, and then
7:50 there's cool people that are here that
7:52 come here every night and they're
7:54 [ __ ] awesome. So, why you come here
7:57 is not for me, which should be obvious.
8:01 It's for them.
8:03 The monkeys accidentally made a Game of
8:05 Thrones sequel. Actually, you know
8:07 what's funny, Brandon? That is in fact
8:12 a really interesting connection
8:16 that if you think about what what a
8:19 large language model is, it's
8:21 essentially like all the typing of all
8:23 the words of all the people
8:26 and then it just generates new
8:28 combinations of those tokens of those
8:31 fragments of words
8:33 and yeah, it created a Game of Thrones
8:37 sequel good enough that The court is
8:38 going to allow George RR Martin to sue
8:40 the [ __ ] out of Open AI. [laughter]
8:48 Crazy. Um, UDIO today. So, so I'm going
8:53 to talk about this a bit later, but Udo
8:56 got bought by
8:59 bought by or they have a strategic
9:02 partnership with Universal Music Group.
9:06 And uh as of today, you can no longer
9:08 download the songs that you made on Ude.
9:14 People are not happy. [clears throat]
9:17 [music]
9:18 Um
9:21 I've seen this movie before. The media
9:24 companies in in 1995 and 96 started
9:28 panicking.
9:29 They're like, "The internet's going to
9:31 ruin publishing." And it did. They were
9:34 right.
9:38 But you know th those big companies they
9:40 go through a bunch of cycles. The first
9:41 the first cycle is sue them. This the
9:44 second cycle is buy them. [laughter]
9:51 And then and then the third the third
9:53 phase of the cycle is destroy what
9:56 you've bought because you don't actually
9:58 understand what you bought. So, so Yo, I
10:02 I'm going to go on out on a limb here
10:04 and say, is pretty much dead at this
10:06 point.
10:09 [music]
10:16 [music]
10:20 [music]
10:26 [music]
10:31 >> [music]
10:32 >> Mapster V2025. It's exactly what it is,
10:34 Silver Fox. So,
10:37 yeah, [laughter]
10:39 it's just it's [ __ ] exhausting
10:44 because because it just is. It's just
10:47 like like we've we've got to go through
10:49 all the the the twistings and
10:54 clutching of pearls, the clutching of
10:56 corporate pearls and the the uh the
10:59 power center centers that where their
11:02 power is eroding
11:05 doing what they can legally and
11:07 financially to stop that power from
11:09 eroding. Um,
11:12 you know, some small percentage of those
11:14 big companies will be fine. A lot of
11:17 them are going to get swallowed and
11:20 acquired. You know, we're just going to
11:22 have giant [ __ ] monopolies,
11:25 you know, even bigger [music] ones.
11:29 And then depending on like like the
11:31 music in industry is a really
11:33 interesting one. It's going to be
11:35 fascinating to see how film and and the
11:38 music industry absorb this. I was
11:41 watching I don't know if you've watched
11:42 today Adobe Max's this week and so on
11:46 TikTok all day today there were little
11:47 snippets from from Adobe Max and it's
11:50 just like it's just like um
11:55 like AI feature porn. [laughter]
11:59 Adobe Max was just like look it'll
12:02 automatically rename your layers. Oh,
12:03 look. You can you can remove a
12:05 complicated thing from a scene and it'll
12:07 understand all the places that need to
12:09 be retouched and it you know it's just
12:12 and people like ah ooh
12:16 [laughter]
12:18 um yeah the other thing um
12:22 the other thing that's happening ASCAP
12:25 BMI and whatever the third main
12:27 licensing group is um today not not
12:32 [clears throat]
12:34 I assume not coincidentally
12:37 um but all of the major um publishing
12:40 entities the copyright entities like
12:42 ASCAP
12:44 have have basically said today that they
12:46 will accept partially AI generated
12:49 works. So if you're a musician and you
12:52 use something like
12:54 like like we've been doing on this
12:56 channel for [ __ ] two years now,
12:58 right? where we start out, we get an
13:01 idea, we go in there, sometimes Sunno
13:03 gives us the idea, sometimes we have the
13:05 idea, we go in there, we generate lyrics
13:08 somewhere else, we tweak them, we
13:10 rewrite them, we go in, we generate 40
13:13 [ __ ] songs till we find one we like,
13:15 then we tweak that, then we publish
13:17 that, maybe make a video of that.
13:21 You're going to be able to you're going
13:23 to be able to retain your rights on on
13:26 those.
13:28 >> [music]
13:28 >> I don't know the specific laws, but this
13:31 shit's moving fast, right? Like when it
13:34 was the hip-hop era, it took
13:38 with sampling and Napster and hiphop
13:41 sampling
13:43 that took
13:48 four or five years before
13:52 it wasn't just you're stealing from us.
13:54 You're just you're ruining musicians
13:56 lives. You're ruining everything. You
14:00 horrible people.
14:02 Um
14:05 it was a few years before they they sort
14:07 of caved and accepted reality. [music]
14:09 So the fact that this happened in kind
14:11 of a year and a half, that's that's
14:12 pretty fast. [music]
14:17 your thoughts on doing a print ondemand
14:21 challenge
14:22 using high quality AI made
14:28 um what do you mean a a print ondemand
14:30 challenge? Do you mean a print on demand
14:33 company?
14:35 [music] I mean I think it's a great
14:37 idea. I'm actually an advisor to uh
14:40 [music]
14:40 to someone who's doing a print on demand
14:42 t-shirt company.
14:45 >> [music]
14:52 [music]
14:56 >> Is there a challenge getting high
14:58 quality AI images for print on demand?
15:01 [ __ ] no. these these upscalers these
15:05 upscaling tools like Magnafi and uh
15:09 Topaz Labs and there's one inside Korea
15:12 now and there's a bunch of open source
15:14 models that are that are the uh that are
15:17 that are the upscalers. The upscalers
15:19 are really quite insane. So, if you get
15:22 your settings right, if if you're doing
15:24 a print on demand site, basically all
15:26 you'd have to do is figure out, you
15:29 know, two or three different kinds of of
15:31 images and have different settings for
15:34 them, like cartoons versus
15:35 photorealistic and things like that. Um,
15:39 yeah, you can you can upscale. I mean,
15:41 print on demand doesn't require
15:44 it's it's not like you're printing in
15:45 high-end magazines, right? Print on
15:47 demand is like if you have 600 dpi on a
15:51 12 by 12 image that's fine.
15:54 [music]
16:02 [music]
16:05 I meant that. Wait, would you do such a
16:09 challenge
16:10 on Tik Tok or post it? Oh, on your Tik
16:13 Tok or and post it. Um, [music]
16:21 you know what I might do? All right, so
16:23 we're going to kill a couple of birds
16:24 with one stone here. So,
16:27 if you can pop up the uh the AI Festivus
16:31 um banner there. Um Brandon,
16:35 so on
16:38 um on uh December 26th and 27th,
16:43 we're doing um a thing that we did last
16:46 year called AI Festivus. AI for the rest
16:48 of us. It's 900 p.m. It's 9:00 a.m. to
16:52 900 p.m. Friday and Saturday, December
16:55 26th and December 27th. And I I know
16:57 you're like, "But that's right after the
16:59 holiday. That's right. Before I'm going
17:01 to be with my family then. Why would you
17:03 do big AI event then? Because you don't
17:06 want to be with your family. You want to
17:08 be learning about AI. So, what I might
17:11 do
17:13 is
17:17 maybe we'll do something like we'll do
17:20 an AI festivist um
17:24 contest for people creating AI Festivus
17:27 like social graphics and t-shirt
17:30 graphics and then maybe we'll take the
17:32 best one and like a month out from a
17:35 month out from Festivus, we'll launch a
17:38 print on demand t-shirt or Something
17:40 like that. Yeah, I'd do that. I'd
17:42 absolutely do that. Why not? That's a
17:44 great idea. I like it. I like it.
17:47 [music]
17:48 Do we have our Do we have our AI bot
17:50 here tonight? Is AI Rising in the house?
17:54 We got invaded by an AI bot last night.
18:02 I started creating the website itself,
18:04 doing everything slowly.
18:07 >> [music]
18:12 [music]
18:20 [music]
18:30 >> Kyle, can I do a small jingle inso? Only
18:32 a sentence or a few words? Um,
18:36 uh, I don't think So, so does have a
18:39 change the duration feature. So, once
18:42 you produce a song, you can go into
18:45 studio, I think it is, and then there's
18:48 there's a feature that where you can
18:49 change the duration of a song. I don't
18:51 know if you can drop it down to jingle
18:53 length.
18:54 I think that um, producer.ai
18:59 might allow you to do that because you
19:01 can just ask for it. Like producer.ai
19:03 AI, you can just ask for what you want.
19:05 Um, I think you can ask for song length
19:08 there.
19:11 Um,
19:13 we're going to go play tonight with
19:15 Cartisia, which is it's it's my I think
19:18 it's better than 11 Labs for like voice
19:20 cloning and natural voice. And they just
19:22 came out with Sonic 3, which I guess
19:25 Sonic is their model, and they just come
19:27 came out with Sonic 3. And I did I did a
19:30 a clone of my voice. And when I do
19:33 clones of my voice, because I'm like
19:35 kind of all over the place dynamic
19:37 range-wise,
19:39 um those clone voices rarely sound like
19:42 me to me.
19:44 Um this one actually sounded sounded
19:48 like me.
19:51 Alan Turing
19:53 said, "AI bot is on the way.
19:59 >> [music]
20:05 >> You can edit it in Sunno Pro. [music]
20:13 [music]
20:19 [music]
20:27 >> [music]
20:32 [music]
20:34 >> Oh,
20:36 am I buying a a 1x Neo Homebot to feed
20:40 Champy Cheese? So, if you didn't see it,
20:42 there's a new a new bot that was
20:44 released. Well, no, was not released.
20:47 There's a new bot that you can pre-order
20:49 for 200 bucks. Producer Brandon
20:51 pre-ordered one. Um, and Brandon, do you
20:55 know do you know what those things are?
20:57 They're they're they're remotely
20:59 operated robots. They're not AI they're
21:02 not AI robots.
21:07 Oh, you did not pre-order one? Oh, okay.
21:09 He's getting defensive. I'm pretty
21:11 certain certain he pre-ordered one, but
21:12 he's not going to admit it right now
21:14 because because he realized that there's
21:17 a bunch of pro young laborers uh driving
21:22 American robots around American homes,
21:25 snooping through everyone's drawers.
21:27 [laughter]
21:30 It's 500 bucks a month to have China
21:33 snoop through your house. [laughter]
21:37 Yeah. The AI learning lab doesn't pay
21:39 $20,000 in commissions. [music] Exactly.
21:43 [laughter]
21:47 [music]
21:52 Um, so we're going to play with uh we're
21:54 going to play with Cartisia tonight and
21:57 then we're also going to play with this
21:59 thing called Pamelli,
22:01 which I don't like Google. I I don't
22:06 [sighs]
22:06 like notebook LM sounds like notebook
22:10 large language model. Notebook LM. Okay,
22:13 it's a notebook. You're using a large
22:16 language model and Gemini is like, you
22:18 know, begins with a G. And then there's
22:21 this tool called Pamelli that they
22:24 released two days ago. Um, I played with
22:26 it a little bit. It's pretty slick.
22:29 So, we're going to go play with that.
22:31 Um,
22:33 if you if you're a video geek and you
22:36 want to compete for some some credits,
22:41 uh, Hedra, H E D R A Hedra.ai, I think
22:44 it is. Is that right? Um, Hedra, the
22:48 video tool, they're having a Halloween
22:50 contest. So, if you make some Yeah,
22:53 hedra.ai. If you make some Halloween
22:56 videos uh tonight and get them posted,
23:00 they'll give you like a hundred credits
23:02 or something like that. Um Pomelli is P
23:04 O M E L L I.
23:09 [music]
23:14 [music]
23:22 >> [music]
23:28 [music]
23:36 >> through blue [singing] telescope.
23:39 Looking at the world tonight through
23:42 blue telescope.
23:45 Wish I may, wish I might not see what I
23:49 [singing] see.
23:51 [music] Sheet metal on sheets of ice.
23:54 [singing]
23:56 [music]
23:58 Looking through this blue telescope
24:01 [music]
24:03 down a moon struck a road tonight.
24:06 [singing]
24:07 [music]
24:12 All right, let's get going. Let's get
24:14 going here on that internet or Hey
24:17 everybody out there on the internet. How
24:19 you doing tonight? You doing good? Are
24:22 you a fan of the AI or are you like the
24:25 robots ARE GOING TO KILL US? What are
24:27 you people doing?
24:29 [snorts]
24:30 Oh, you can be on either side of that
24:36 spectrum. [laughter]
24:39 I think it's more fun over on the
24:41 optimist side. That other side seems
24:43 scary to me. [laughter]
24:46 If you spend all your time reinforcing
24:49 how scary AI is, there's lots of
24:51 evidence out there. But you know what we
24:53 do here? [laughter] Rather than hide
24:56 from it, we're like, "Well,
24:59 it's here. It ain't going anywhere.
25:02 Might as well learn to see if we can
25:05 use this thing in some sort of powerful
25:07 way." And you know what we've
25:08 discovered?
25:10 You can
25:14 I had a I had a cool thing.
25:17 You can either
25:20 I had an epiphany today. So I had one
25:22 last night where I tal I had this vision
25:23 of you can either treat AI like it's in
25:26 front of you coming at you or like it's
25:28 behind you pushing you forward.
25:31 And then what struck me today is there's
25:33 some language that can go with that is
25:35 you can either treat AI like a
25:37 competitor or a collaborator.
25:40 And if you treat it like a competitor,
25:42 you're like, "Ah, the AI is going to
25:44 take my job and it's gonna it's coming
25:46 at me, right? It's it's it's in my face
25:48 coming at me." Or you can say, "Hey,
25:51 wait a minute. I've got agency. I'm a
25:53 human.
25:55 I'm going to choose to put myself
25:59 forward. So, I'm going to take my ideas
26:02 and my questions and my challenges and
26:05 my
26:07 problems I want to solve and those are
26:10 going to lead
26:11 and and I'm going to employ AI to
26:14 amplify me. So, I'm going to strap it on
26:18 behind me like a jetpack.
26:22 Fill in all my gaps, take my ideas,
26:24 amplify them, go change the [ __ ]
26:27 world.
26:29 Like, you can choose to use it either
26:31 way. I think this latter one's kind of
26:34 cool, right? You get to become the super
26:37 genius and AI is just there supporting
26:40 you.
26:42 Or [snorts] you can fight it, [laughter]
26:45 which I just think is as these robots
26:48 get smarter, that's gonna suck more and
26:50 more to fight it or just ignore it. LA
26:56 AI is not coming for my job. AI is not
26:58 coming for my job. [snorts] So anyway,
27:02 all right. What are we going to do?
27:04 Let's go do Pomelli because it seems to
27:07 be Mr. It seems to be confused about
27:10 where it is, who it is, what it is. I I
27:12 know it sounds like a pasta brand,
27:14 doesn't it? I had that rotini tonight. I
27:17 had, you know what I had? That brand I
27:19 had was the pomelli. So good. I had the
27:21 pomelli protein pasta. It's actually
27:24 made of chickpeas. Oh my goodness.
27:27 Right. Cuz normally I get a little bit
27:29 of the flux after after I have a plate
27:31 of pasta, you know? I'm like, "Oh, that
27:32 was so tasty." And then I'm like,
27:35 [laughter] "Right." But not with the
27:37 protein pasta because it's chickpeas.
27:39 It's got a lot of protein in it. So
27:42 fantastic. That Pomelli brand is
27:44 delicious.
27:45 I don't know why they named it that. Um,
27:48 [laughter]
27:49 apparently someone had pasta the night
27:51 before. It goes well with your nano
27:53 banana. That's good. Producer Brandon.
27:56 Producer Brandon on tonight. He's
27:57 feeling a little better. He's been a
27:58 little under the weather, so he's been a
28:00 little lowkey, but he's he's popping in
28:02 there. Nice. All right. What is this?
28:06 Uh,
28:09 what's the Wait, hang on a sec.
28:12 Breaking Canva.
28:15 A fully re-imagined professional design
28:18 app combining photo, vector, and layout
28:20 tools in one fast, responsive platform.
28:22 It's pro and now it's completely free
28:24 for everyone.
28:26 Wow. All right.
28:29 What's that tool called? Is it a tool
28:31 within Canva? Because Canva is really
28:33 [ __ ] complicated. Oh, it's called
28:35 Affinity. Okay, cool. All right, so may
28:37 put that on the list. Maybe we'll go
28:38 look at that, too. Um, okay,
28:42 let's go. Let's go to Pamelly, shall we?
28:46 Um, is it is it labs.google.com/pamelli?
28:51 Probably. Labs
28:53 labs.google.com.
28:58 Did it work?
29:01 Yes, it did. Hi, we're experiencing high
29:04 demand right now. That's what happens
29:05 when you make something cool, you dumb
29:07 dumbs. Okay. Um,
29:12 how do I go? Campaigns. Business DNA.
29:16 Reset business DNA. Delete all. Okay.
29:19 So, here's how this thing works. Tabs.
29:21 Oh, apparently all you all wanted to see
29:23 this [laughter]
29:26 again. Producer Brandon being on it
29:28 tonight.
29:30 [laughter]
29:33 Oh man, it also lowers the barrier to
29:35 entry
29:37 to have such LLMs
29:40 for creating malicious software. Yeah,
29:42 it does. It does. I mean I mean here's
29:45 the deal. If listen, for me this is a
29:48 thing of focus. If what you want to
29:50 focus on is [ __ ] with AI are going
29:53 to do shitty things, then you can focus
29:55 on that. My
29:58 my point of view is that's all the media
30:00 is focusing on and that's all people
30:03 outside of AI are focusing on. So I'm
30:06 going to swim upstream a little bit and
30:07 focus on what if the good
30:10 [clears throat] guys did something with
30:11 AI and that's what this channel's about.
30:13 But yeah, [ __ ] can do bad things and
30:17 [ __ ] can do bad things with the
30:18 internet right now and with social
30:21 engineering and telephones, right? Like
30:23 it's like everything can be used for bad
30:26 and and I understand that AI is more
30:29 powerful but also the good guys have AI
30:32 too. So whatever. Okay. So this thing
30:35 pomelli what this is is you basically
30:39 just point it at a website and it will
30:42 crawl the website and it will design a
30:45 brand DNA for you. like it'll pull your
30:47 logos, your fonts, your uh your brand
30:51 colors and create like a whole thing and
30:54 then you can generate um it'll give you
30:57 like campaign ideas and then you can
30:59 generate creative executions without it.
31:02 You know, this is basically like a
31:04 creative director in your pocket. Um
31:06 [snorts] so we'll just go we'll just go
31:08 throw this I'll point this over at my my
31:10 company website.
31:12 How do I start? Oh, let's go.
31:15 So, I'm [snorts] going to go to
31:16 storyvine.com.
31:19 story store storyvine.com.
31:21 Hi, my name is Cal Shannon. CEO of
31:23 Storyvine
31:25 analyzing your website. About 10 minutes
31:27 left. Oh. Oh, see. Oh, and it does it
31:31 does what some of these, you know, some
31:33 of the agents do. So, this is an agent.
31:36 So, it's going off and it's searching my
31:38 website
31:42 and it's got some sort of whack, you
31:44 know, virtual browser here because it
31:46 can't open everything on the site.
31:50 Finding your logo,
31:53 learning your tone of voice,
31:56 writing your tagline. Right? So, it's
31:58 doing all this cool stuff. About 10
32:00 minutes left.
32:02 Studying your brand values.
32:06 Do you have to have a website to use
32:07 Pomelli? I don't know. Probably you have
32:11 to point it at something.
32:14 You could you could potentially you
32:16 could you know what you could do, Mr.
32:18 IT, is you could vibe code up a site and
32:21 just point it at that. All right, this
32:22 is done.
32:29 It got all of our colors wrong.
32:32 [laughter]
32:34 We makes We make video storytelling
32:36 automagic. That's not bad. Brand values,
32:38 structure and control, on brand, on
32:40 message, democratizing storytelling,
32:42 authenticity, keep the human element,
32:44 speed and scale. That's pretty good.
32:48 And then here's images. So there's our
32:50 logo.
32:54 [clears throat]
32:59 All right. Got a bunch of stuff from the
33:01 site. Very nice. Very nice. Very nice.
33:05 And I guess you can you can add or
33:07 remove images. So if it got stuff wrong,
33:09 you can remove them. That's pretty
33:12 slick. What's this? Oh, okay. That's
33:14 just that.
33:21 Beautiful. All right. Next, we'll use
33:24 your business DNA to generate social
33:26 media campaigns. Looks good. So, okay.
33:29 Okay, so you can go edit your brand
33:30 values. Tone of voice, confident,
33:32 informative, empowering, casual. That's
33:35 good. Brand aesthetic, professional,
33:38 technologically focused, modern,
33:39 trustworthy, human centric.
33:42 Technologically focused and human
33:44 centric seem to be contradictory, but
33:46 they're not. They don't have to be. Um,
33:49 these colors are wrong, but you can go
33:51 in and edit them, so that's good.
33:54 Yep. Very nice. Lovely.
33:58 But we don't care. We'll we'll just let
33:59 them be shitty for now.
34:02 The font is sans serif. Let's see. Okay,
34:04 it's loading font. So, it's it's uh what
34:08 is our font? Open sands.
34:11 Open sands. There we go. So, I just
34:14 changed that.
34:16 This is pretty slick, right?
34:19 Like, it's pretty good. All right. So
34:22 start here from our suggestions or
34:25 prompt to create a new campaign.
34:28 Suggestions based on business DA uh DNA
34:31 UGC meets structure. Start choosing
34:34 quality or scale. Oh, stop choosing
34:39 scale video. Keep control. That's kind
34:42 of in the neighborhood of what we're
34:43 talking about. But what I'm going to do
34:44 is say um pharma is
34:51 our target
34:54 market and
34:57 authentic video,
35:02 scalable
35:05 and compliant
35:10 all seem to be contradict. ictory, but
35:14 we
35:16 can make it happen.
35:19 All right, let's see what this comes up
35:21 with.
35:26 By the way,
35:32 it probably wouldn't be that hard to
35:34 vibe code something like this yourself,
35:39 right? There's three modules here.
35:42 There's there's the the brand DNA module
35:44 is go scan a website and pull these
35:48 specific elements. Go pull logos, go
35:51 pull images, go pull language
35:56 and then they've just got a nice
35:57 framework to drop all those elements and
36:00 they're all editable.
36:02 This module is like the creative brief
36:05 like what's what are we trying to do?
36:07 Who's the target market here? Right? So
36:10 let's come up with some highle concepts
36:11 and then once we pick one of these then
36:14 it'll drop us into the third module
36:15 which is go generate a bunch of ads.
36:18 Worry-free pharma storytelling. That's
36:20 not bad. Authentic video zero compliance
36:22 risk. Three ways pharma scales video
36:25 fast. Let's go with worry-free pharma
36:26 storytelling.
36:29 All right. So relieving the stress and
36:32 fear of non-compliant video content
36:34 that's associated and the associated
36:36 financial and legal risks in the pharma
36:39 sector. Cool. And so now it's over
36:43 making ads
36:46 authentic storytelling scaled capture
36:48 patient stories and HCP interviews
36:50 without sacrificing legal safeguards
36:52 fast and safe. And it's got a human
36:55 being and it's kind of in our in that
36:57 kind of blue thing we have. This is
37:00 horrible. I hate that graphic.
37:02 Um, scale video simplify compliance.
37:07 Pre-approved templates guide staff to
37:09 create authentic. That's close. Can I
37:12 edit that
37:14 description? Yes. Guide patients and
37:17 HCPs. Patients,
37:22 HCPs,
37:25 and sales reps.
37:30 All right. Beautiful. Beautiful.
37:32 Beautiful. Beautiful.
37:35 I love it. Fantastic.
37:39 And so, see what they did here? See like
37:41 like every every one of these ads has
37:43 the same recipe. It's got a little
37:46 header, a little description, and then
37:47 an image, and a call to action.
37:53 Scale video. Simplify compliance.
37:57 Uh,
38:00 nice. All right,
38:02 I like it.
38:05 It remembered the change I made. Good.
38:07 Finally, worry-free pharma video.
38:15 So, let me change the header. Finally,
38:17 worry-free
38:20 UGC video
38:25 for pharma.
38:28 You see what I did there?
38:35 That's pretty slick. Uh oh.
38:38 Fix layout. About 2 minutes left. Oh
38:42 man. And my messages are doubling up. Be
38:45 back after bedtime. [laughter]
38:51 Okay. I see you're all in here helping
38:52 each other. Nice.
38:55 I think this is for the talented and
38:57 gifted class. I need to make a website.
39:00 [laughter]
39:04 My connection is terrible tonight. All
39:06 three guys gaming or racing. Yeah,
39:08 that's rough. If you got a house full of
39:10 gamers and they're uh and they're
39:12 streaming. Yeah, it's going to be rough.
39:24 [sighs]
39:28 So [snorts] anyway,
39:31 relatively simple
39:33 simple concept here,
39:36 you know, imagine imagine the
39:38 sophisticated version of this, right?
39:41 like this. This becomes
39:44 if if Canva does their [ __ ] right, their
39:46 what is it called? Affinity, their
39:48 affinity tool should be some version of
39:52 this. My guess is it's not going to be.
39:55 My guess is it's going to be like an
39:57 automator for canvas Canva workflows
40:01 where this is completely rethinking how
40:03 you'd create a campaign.
40:07 Anyway, any questions, thoughts on this?
40:10 Pomelli.
40:20 Oh, but Affinity is already a product.
40:22 Oh, okay. Yeah. Well, I figured
40:25 [clears throat]
40:27 that Adobe that Adobe uh Max conference
40:31 is wild because here's here's my here's
40:34 my two cents on Adobe. Let me let me get
40:37 rid of this thing.
40:39 So, [snorts] I would say Pomelli is
40:40 worth at least going to play with just
40:42 to see like that feels this feels like a
40:45 site that was put together relatively
40:47 quickly. It's relatively basic. It's got
40:50 decent design, but it's probably just a
40:52 design a UX kit that they built it on
40:55 top of and they [clears throat] probably
40:56 vibe coded it. [snorts]
41:00 Maybe that's why it's in labs. Shut up.
41:02 Shut up, producer. [laughter]
41:07 Um, okay. Um, here's my thoughts. Here's
41:12 my thoughts on Adobe is
41:16 [sighs and gasps]
41:19 they're they're walking a a tight rope
41:21 right now. And but I think they have to.
41:27 But the more
41:29 the more generative AI they add into
41:32 their tools,
41:35 the less their tools are going to be
41:38 necessary. like the the core features of
41:41 their tools which are all about control
41:43 and pixel peeping and you know all the
41:46 [ __ ] that that
41:48 handcrafty designers do.
41:52 They've got they've got two things going
41:55 against them right now. Adobe does. One
41:57 is their pricing practice is they've
42:00 basically got the entire creative
42:02 community held hostage. Right? If you
42:05 want to use professional creative tools,
42:09 you have to use Adobe. And Adobe knows
42:11 that, right? They've bought all of the
42:14 different components of the creative
42:16 workflow.
42:19 And talking to John Neack, my buddy John
42:21 Neack that used I used to work with in
42:24 the olden timey days and he was he
42:26 worked for Photoshop for a bunch of
42:27 years and then he came in and he he
42:29 worked on the AI side of Adobe.
42:32 um
42:35 you know they resisted things like
42:37 automated creative tools for years like
42:40 you know people would pitch them
42:42 automation all the time and they said no
42:44 no Adobee is about handcrafting things
42:47 so they so they've got
42:51 they have successfully cultivated
42:54 the entire creative industry to take
42:59 deep and great pride in depth of
43:02 creative workflow
43:04 and along comes AI which basically says
43:07 [ __ ] it just say some words and we'll
43:09 make pictures right so you got these
43:12 cowboys on the outside going look at
43:15 this is cool this is cool hey you want
43:16 to make something you want to make
43:17 something cool hey we can turn it into
43:19 video now right [laughter]
43:22 and Adobe's over here going uh that's
43:25 that's not fair that's that's theft they
43:27 stole they theft and So they they they
43:31 put together their their Firefly, their
43:35 sort of AI. We we'll keep AI off in the
43:38 corner. And then over the past two
43:40 years, they've let AI invade more and
43:43 more of the product.
43:46 there's going to be a tipping point
43:48 where
43:50 they either have to just embrace it and
43:53 let it take over their product suite and
43:56 probably consolidate and lose features
43:58 and [snorts] I don't know or launch a
44:00 whole new AI kind of line
44:04 or they're going to have to artificially
44:06 stop it to protect
44:09 their effective monopoly in creative
44:11 workflow tools.
44:14 um
44:17 like the creative community doesn't like
44:19 them very much cuz their pricing
44:21 practices are just [ __ ] egregious.
44:24 And so as AI tools get better and better
44:27 and better
44:30 [laughter]
44:31 they're they're sort of building into
44:33 their tool the thing that is going to be
44:35 the demise of their tool. [laughter]
44:38 It's like I don't think there's a
44:39 there's a good answer. Like I I feel
44:42 like they're kind of they're trying to
44:44 be half pregnant with AI. Like they're
44:46 leaning into it,
44:48 but they're like, "But this other
44:49 stuff's still really important." Well,
44:52 which is it? And it could be both, but
44:55 it's kind of not going to be. And then
44:58 they're going to eventually be competing
45:00 with zero. They're gonna be competing
45:02 with instant
45:05 instant creative long- form storytelling
45:08 just generated for free,
45:12 right? That's what they're going to be
45:14 competing with.
45:16 So they can say, "Hey, how you should
45:18 really make a movie is you should spend
45:19 a month working on those motion graphics
45:21 to get those special effects just
45:23 right."
45:25 When
45:27 some 14-year-old snot-nosed kid down the
45:30 block
45:31 is just prompting a movie into
45:33 existence. [laughter]
45:37 Ann Murphy's here. Ann Murphy was
45:39 shaking. Are you in the car still? Are
45:42 you [laughter] Are you watching Are you
45:43 watching this from the car? She was on a
45:46 road trip. [laughter]
45:51 Um, so Ann Murphy, if you don't know,
45:53 she is an absolute rock star. She just
45:55 she just finished up and is is likely
45:58 having a little postpartum depression
45:59 from the create conference. So Ann is
46:03 the founder of She Leads AI and they
46:04 just put on their their first annual
46:06 create conference which is really
46:07 amazing. The AI salon was a was a big
46:09 sponsor of it and really proud to do so
46:12 and it was really amazing event. Um and
46:15 uh so Ann and I are co-hosting Festivist
46:17 that I talked about earlier. So if you
46:20 don't know Anne, you need to know an
46:21 she's a rock star. Um but she's also
46:23 like on a road trip. Tell the people the
46:26 news. Oh yes. So um so I don't have it
46:30 inked. I don't have it contracted, but
46:32 um I have gotten agreement from Robert
46:36 Scoble to be one of our speakers at
46:39 Festivus. So Festivus, we have uh 24
46:42 1-hour slots that happen over a 36-hour
46:46 period. So, it's Friday the 26th and
46:48 Saturday the 27th from 9:00 a.m. to 9:00
46:51 p.m. Pacific time, both of those days.
46:54 Um, so, so basically 12 12 hours each
46:58 day of
47:01 super generous AI education. And so
47:03 Robert Scoville, if you don't know him,
47:05 he's been he used to write about Apple
47:06 for years and then he wrote about tech
47:09 and mobile and the iPhone and now he's
47:11 super into um the vision pro goggles and
47:16 you know way deep into AI and things
47:18 like that. So Robert is a kind of
47:21 soothsayer because he just pays
47:22 attention to everything and he's
47:23 connected to everyone. So that's really
47:25 exciting.
47:27 Um,
47:28 do you think this will be like Rand
47:30 McNal?
47:31 Rand McN
47:34 Rand McN. The map the map company.
47:37 [laughter]
47:39 Vicki, what? That that that is so cool.
47:42 Isn't that cool? Um, yeah. So, I'm super
47:45 excited. I'm super excited. And so, if
47:48 you know anyone who should speak at
47:50 Festiva, so here's the deal with
47:51 Festivus.
47:54 I I talked about this last night, but
47:56 but last year um I say we reached out to
48:01 35 speakers. Let me be a little bit a
48:03 little bit more accurate tonight because
48:05 Ann's here. An reached out to 36 35
48:09 speakers last year and 34 of them said
48:12 yes. So, we decided to do this and she
48:14 goes, "Oh, I'll go send out some
48:16 emails." And so, so she came back to me
48:18 like a week later. She's like, "Kyle, uh
48:21 [laughter]
48:22 everyone said yes. what do we do?
48:26 And and like everyone showed up and the
48:29 one person that couldn't do it just had
48:31 a conflict. They wanted to do it but
48:32 couldn't. Um and just all of the
48:35 speakers showed up with with a a level
48:37 of generosity and excitement for being
48:41 part of this thing that that I want to
48:44 make sure that we retain this year. Um
48:46 but it was just it was really a magical
48:48 event. So I'm super excited about that.
48:51 Um that's amazing. Come on. December. I
48:53 know, right? I know. It's going to be
48:55 really good.
48:57 The other thing that we're doing with
48:58 Festivus this year, and and if you're
49:00 like, "But where do we go? What do we
49:02 do?" If you want to see last year's, we
49:04 we haven't updated the site, but if you
49:06 want to see like last year's speaker
49:07 lineup and what what it was, if you go
49:09 to aifest.com,
49:11 um you can see what was going on last
49:14 year. If you want basically updates and
49:16 as we as we start rolling things out
49:18 this year, just go to
49:19 community.thesalon.ai.
49:22 um community.thesal
49:25 salon.ai.
49:27 Um that's our that's our community site
49:29 and it'll be announced in there all over
49:30 the place. So what are the dates? The 26
49:34 December 26th, Friday, and December
49:37 27th, Saturday.
49:42 And it's going to be swell. It was it
49:44 was funny. I was talking to Ann tonight
49:46 and and uh
49:50 the thing about that event
49:55 was well first [laughter] of all it was
49:58 absolute chaos because we put it
50:00 together in two weeks. So, knowing
50:02 knowing knowing that Ann and I are both
50:04 fairly deep in the deep end of ADD, um
50:08 the fact that we have more than two
50:10 weeks to prepare this year is probably a
50:13 disadvantage. Like last year, we were
50:15 just sort of screaming with our hair on
50:17 fire and just went. Um, but it was the
50:22 the thing about it was like it was as
50:26 high value as, you know, conferences
50:28 that you go to that you pay thousands of
50:30 dollars for, but it was super
50:32 concentrated and there was just
50:34 something celebratory about it, right?
50:38 There was just something people were
50:39 just into it. They were just like, "This
50:41 is the best thing." And, you know, some
50:44 people were like completely new. I I I
50:46 heard I got to learn AI, so I just came
50:48 here. And you know, they sort of with
50:50 their eyes closed and their head turned
50:52 like this is probably going to be a
50:53 bunch of nerds. And it wasn't. It was a
50:56 bunch of human beings that are just
50:58 like, "Hey man, I don't know what I'm
50:59 doing with this AI [ __ ] either. I'm
51:01 trying to figure it out." And it was
51:03 like, it was just it was just a really
51:04 beautiful thing. So, we're going to, you
51:06 know, our mission and in my mission is
51:09 to maintain that level of excitement and
51:13 things like that. It was a feeling a
51:15 feeling of immense belonging. Oh, that's
51:16 really good. Yeah, that that's right.
51:18 That's right.
51:20 Oh man,
51:25 sometimes screaming coming in with your
51:26 hair on fire. Tell that to Richard
51:28 Prior.
51:30 [laughter]
51:32 And then they take Oh yeah, that was the
51:34 other thing. So So last year it was, you
51:36 know, over 36 hours. 12 hours one day,
51:39 12 hours the second day. We got to the
51:41 end of the 12 hours on the second day
51:43 and people were like, "Can can we hang
51:45 out more? Can you guys want to hang
51:47 out?" like, "No, we want to go to bed."
51:50 They're like, "We want to hang out." So,
51:51 there was like a rogue afterparty. So,
51:54 we're going to provide the
51:55 infrastructure for the afterparty. So,
51:57 we're going to go for 36 hours and then
52:00 Ann and I are going to go take naps
52:02 [laughter]
52:03 and you all can jump into
52:04 [clears throat] the afterparty and do
52:06 whatever the hell you want to do.
52:08 [laughter]
52:12 Oh, yeah. And last night, Ann, you'll
52:14 love this. So, you know how we were
52:16 talking about doing the the 60-day
52:18 countdown thing? So, I talked about that
52:20 last night and we had like three
52:22 different people vibe coded us an advent
52:24 calendar. So, we now have an advent
52:26 calendar. Do we know the Do we know the
52:28 address of it?
52:33 Wait. 9 + 9 equals 24. What?
52:39 Brandon is doing cryptic
52:45 Oh, I keep saying 36 hours. There's a
52:47 12-h hour gap in the middle. So, it's
52:49 over 36 hours. Two 12-h hour sessions.
52:52 So, 9 to9 then 12 hours off, then 9 to9.
52:57 Where do we get the [clears throat]
52:58 advent calendar? It's at Brandon's going
53:00 to give it to me. I think it's in the
53:04 salon. Where in the salon?
53:12 community feed.
53:21 And did it get updated? Did Joe update
53:23 it last night? All right, Brandon's
53:25 going to go find it on the salon. Tell
53:27 me where it is.
53:30 She did. Oh, cool. Awesome.
53:33 Do you know where it is? [laughter]
53:35 Because I don't.
53:38 Affinity
53:41 is now free forever.
53:44 That's Canva.
53:46 Danielle's in giving us all sorts of
53:48 access to stuff. If you're not in
53:50 Irregulars right now, that's you're
53:53 being a loser. There's cool stuff going
53:54 on. Okay, irregulars.
53:57 Wind in my pockets.
53:59 There's the video we made tonight.
54:05 I don't see it.
54:07 >> [clears throat]
54:07 >> Advent calendar. Oh, that's the PDF.
54:18 Refresh.
54:21 Uh
54:28 flowth.
54:36 Um,
54:42 advent calendar
54:45 PDF.
54:47 Yeah, that's [sighs]
54:55 refresh. I did refresh.
55:03 Ah, advent calendar. Here we go.
55:06 Okay.
55:09 So,
55:13 okay. So, Ann at the top.
55:16 Okay. Going to try to find at the top of
55:18 irregulars right now. Brandon just did a
55:20 post and it's got a screenshot of it,
55:22 but I've got it on screen right now. Can
55:24 you see it? No, because I didn't share
55:25 that tab. Now you can see it. So, and
55:28 check this out. So, [laughter]
55:30 so it's got the countdown and every one
55:32 of the every one of these tabs jumps you
55:35 to a different AI tool.
55:37 [laughter] So, like here's claude AI.
55:40 Um, tomorrow is Google Gemini 56 56 days
55:44 out is Hey Jen, PA Labs Opus clip. How
55:48 crazy is this? Isn't this cool?
55:51 And then it it ends with uh with uh what
55:55 you call it um
55:59 25 26
56:04 it ends with uh festivists. I know.
56:07 Isn't it cool? So, it's [laughter] like,
56:12 oh, which by the way, speaking of like
56:15 just doing [ __ ] like you know, someone
56:17 says, "Hey, we should make an advent
56:19 calendar." And like three or four people
56:20 all go and do it. And then this was the
56:23 one we ended up picking. Um,
56:26 [clears throat]
56:29 I've been talking this week about
56:31 treating AI like a practice.
56:34 And
56:37 the [clears throat] basic idea there, if
56:38 you haven't heard it, if you're new
56:39 here, the basic idea of treating AI like
56:42 a practice is treat it like a daily
56:43 practice, like meditation.
56:46 And
56:49 think about activities in three broad
56:51 areas. Play first, which looks like
56:54 learning, but not learning like, oh my
56:56 god, I've got to learn something. I've
56:58 got to go to class.
57:00 No, think of learning like, I'm going to
57:02 go play. I'm going to go play with these
57:04 tools. And particularly, I'm going to go
57:07 play with tools that do [ __ ] that I'm
57:10 not good at.
57:12 You know those things that give you like
57:14 aa
57:16 when you're like you think about doing
57:18 them, you're like I'm really horrible at
57:19 that. Like like I'm like that with
57:21 money. I'm like that makes me go ew.
57:25 [laughter]
57:26 You might be like that with pictures or
57:28 with words or with business stuff,
57:31 whatever.
57:32 Go play with these tools. And what you
57:34 will discover is that all the things you
57:38 thought you were shitty at, you can now
57:40 do.
57:41 So that's play. So imagine doing that
57:44 every day like a practice. I'm going to
57:47 go play for 15 minutes on something. The
57:51 next area to think about is create
57:53 excellence. So So build something, solve
57:56 a problem. Like this advent calendar was
57:59 we were talking about things. Man, it
58:00 would be so cool if we had this
58:01 countdown. It was someone in here. It
58:03 wasn't my idea. Like I said something
58:05 about the advent calendar and then
58:07 someone said, "Oh, every day could be a
58:09 different tool you go try like play." I
58:11 was like, "Oh, that's really good." I
58:14 said, "Someone should vibe code that."
58:15 And like 15 minutes later, someone had
58:18 [laughter]
58:19 it's amazing, right? And so think about
58:23 like solving a problem or building
58:25 something. And then the third area to
58:27 think about as a part of a daily
58:29 practice is leading.
58:32 Generously leading, sharing what you've
58:34 learned, sharing the things you've
58:36 built, you know, putting it out there.
58:39 Well, it's not very good. It only took
58:40 me like 15 minutes. Yeah. Apology,
58:43 apology, apology. Stop [ __ ]
58:44 apologizing
58:46 and just share what you're learning.
58:49 Because in doing that it'll anchor what
58:52 you're learning but it will also
58:53 establish you as a leader
58:57 someone who is thinking critically about
58:59 AI and thinking critically about
59:02 humanity and other people and you'll
59:04 start to engender trust.
59:07 So, [snorts] and if you do that in a
59:08 place like the AI salon where she leads
59:11 AI, you start to make friends and you
59:14 start to make, you know, colleagues and
59:16 and start to to build relationships.
59:19 And when the [ __ ] starts to hit the fan
59:21 with with employment, being in groups
59:24 like this is going to be really
59:25 important. So,
59:27 there you have it.
59:31 Fantastic, blob.
59:34 I built a countdown a iOS app as well.
59:37 Oh, super cool. Post it in uh post it in
59:40 community feed um data staples and post
59:44 it in a regulars if you would. All
59:46 right, groovy. All right, so let's go
59:48 play with Cartisia. Relationships scare
59:51 me. They should. People suck. [laughter]
59:56 You should be scared. But it doesn't
59:58 mean that you shouldn't be in community.
1:00:01 [laughter]
1:00:02 It really doesn't. it like here. So, so
1:00:06 let me let me dig one layer deeper on on
1:00:09 why I think this is important
1:00:12 [sighs]
1:00:13 in today's world.
1:00:16 If you've got really excellent skills in
1:00:20 a in a especially in a particular
1:00:22 vertical, you're really good at motion
1:00:24 graphics or you're really good at a
1:00:26 particular kind of writing, medical
1:00:27 writing, law, law, whatever it is.
1:00:34 Your value in today's world is tied to
1:00:37 those skills.
1:00:40 the tasks
1:00:42 of all of the individual skills are
1:00:45 increasingly going to be automated out
1:00:47 by AI.
1:00:50 So the implication of that is is if if I
1:00:53 work with someone that's really good at
1:00:55 this kind kind of law
1:00:57 and I know that they're good at that
1:00:59 kind of law, but I actually hate working
1:01:01 with them.
1:01:03 We're moving into an era where there's
1:01:05 going to be other lawyers that have
1:01:06 access to AI that are going to be as
1:01:08 good as that person at that deep
1:01:10 vertical because they're going to have
1:01:12 access to all of the knowledge of the
1:01:15 world. And as these tools get better,
1:01:17 those those deep vertical expertise are
1:01:20 going to get democratized out. And so
1:01:23 then who do you end up working with in a
1:01:26 world where everyone can essentially do
1:01:28 everything? You start to work with
1:01:30 people you like. You start to work with
1:01:32 people you trust,
1:01:35 with people that you know give a [ __ ]
1:01:38 right? Have the right attitude.
1:01:41 Like how how we hire today versus how
1:01:44 we're going to hire five years from now
1:01:46 are very different worlds. So being in a
1:01:48 community where you're trusted and
1:01:50 you're a contributor and you're reliable
1:01:52 and you show up and you do things and
1:01:54 you, you know, take one for the team
1:01:57 every now and again.
1:01:59 That's going to be incredibly valuable
1:02:01 in the next three years. All right.
1:02:04 I want to work with that guy who threw
1:02:06 the rock in the quarry next to me just
1:02:07 to watch the splash. I [snorts] love
1:02:09 those videos. The ice videos. I'm such a
1:02:12 sucker for those [laughter] those those
1:02:14 Tik Tok videos of like you know this
1:02:18 what women think we're thinking and then
1:02:20 what we're thinking and it's just like
1:02:22 throwing a rock in a quarry and like
1:02:25 [laughter]
1:02:28 oh my god that's hilarious. Okay. Um
1:02:31 let's go to um
1:02:34 Cartisia.
1:02:37 Cartisia
1:02:39 Cartisia.ai A I
1:02:42 C A R T E S I A.
1:02:47 Let me sign in here.
1:02:53 Instant clone.
1:03:02 Let me see if I can let me see if I can
1:03:04 do an instant clone of my sir. Yes,
1:03:08 rather. I was I was wondering uh sir,
1:03:11 what pretail by chance are your
1:03:13 qualifications? So, [laughter]
1:03:16 let me
1:03:20 uh disconnect over there. Hang on.
1:03:26 Are we recording? Yeah, I guess we're
1:03:28 recorded. Okay.
1:03:33 Okay.
1:03:35 [cough and clears throat]
1:03:38 Uh yes. Uh carrying on then rather
1:03:41 pretail. Sir, I was wondering uh by
1:03:43 chance uh if you could share with me
1:03:45 rather your own qualifications.
1:03:49 Uh I was wondering if you had any by
1:03:52 chance qualifications.
1:03:54 Sir, of course.
1:03:57 Okay. [laughter]
1:04:01 Oh, it must at most 10 seconds of audio.
1:04:05 Okay, fine. I was wondering uh by chance
1:04:09 uh if you could share with me rather
1:04:11 your own qualifications.
1:04:14 Uh I was wondering if you had any by
1:04:16 chance.
1:04:18 >> By chance.
1:04:20 [laughter]
1:04:23 Oh, that's good. uh like
1:04:26 >> uh by chance uh if
1:04:28 >> I was wondering
1:04:30 >> you could share with me
1:04:35 rather your own qualifications.
1:04:38 Uh I was wondering if you had any by
1:04:43 uh that's fine. All right. So we're
1:04:45 going to go we're just going to call
1:04:46 this like pompus Kyle. Pompus Kyle
1:04:50 description. He's a pompous
1:04:55 ass [laughter] language sort of English
1:05:03 clone
1:05:04 consent. Yes, you have you have my
1:05:06 consent to use my stupid voice.
1:05:10 Okay, so now let's go let's go to chat
1:05:13 GPT and write a pompous script.
1:05:16 [laughter]
1:05:18 Okay. Um, I have a character
1:05:24 that is a pompus
1:05:30 ass. Oh, I think pompus has two s's,
1:05:34 doesn't it? No.
1:05:36 Must whatever.
1:05:39 Oh, is it pompus? P us.
1:05:42 P us ss. How do you spell pompus?
1:05:46 >> [laughter]
1:05:46 >> It's hard to be pompus if you don't know
1:05:48 how to spell it. Oh, o us u s pompus.
1:05:52 Okay, fine. That I have a character that
1:05:54 is a pompus s. Um um I need a speech
1:06:01 where he asks
1:06:05 someone
1:06:08 for their qualifications
1:06:14 in a rude
1:06:19 yet seemingly
1:06:22 polite way. Okay,
1:06:27 let's see if we can get Chachi Pay to do
1:06:30 a little. [laughter]
1:06:33 Here's your speech. Ah, splendid. You're
1:06:36 the one I've heard so very much about.
1:06:38 Now, before we go any further, purely
1:06:40 for my own clarity, you understand.
1:06:43 Might I trouble you to outline your
1:06:45 qualifications? This is good. Nothing
1:06:48 tedious, of course, just the highlights,
1:06:50 your formal education. Okay, that's
1:06:53 good. We'll we'll just do the the short
1:06:55 little part here. That's good. All
1:06:57 right. See? You see? You see how this
1:06:59 works? All right. Where
1:07:04 where is my tab?
1:07:06 If you wouldn't have so many tabs open,
1:07:08 it would be easier to find things. Shut
1:07:10 up.
1:07:13 Uh
1:07:16 why is that not
1:07:20 let me reload that?
1:07:22 >> [snorts]
1:07:26 >> text to speech.
1:07:31 Uh, my voices,
1:07:35 pompous Kyle, here we go.
1:07:38 All right, [clears throat]
1:07:41 here we go. Let's see how it is. Ah,
1:07:43 splendid. You're the one I've heard so
1:07:45 very much about. Now, before we go any
1:07:48 further, purely for my own clarity, you
1:07:51 understand? Might I trouble you to
1:07:52 outline your qualifications?
1:07:54 >> It's nothing tedious.
1:07:56 >> It's not good. All right, let's go back.
1:07:58 It didn't It didn't get the accent. It's
1:08:00 because it was a shitty accent.
1:08:02 [laughter]
1:08:04 All right, so I'm just going to talk
1:08:05 normal. So, let's see. Let's see. I'll
1:08:07 record a thing here. Um, [clears throat]
1:08:12 I'm recording audio to clone my voice.
1:08:14 Afterward, I'll be able to produce
1:08:16 speech that sounds just like me. I can't
1:08:18 wait to hear what it sounds like.
1:08:21 All right, 3 to 10 seconds. That was
1:08:23 8.22 seconds.
1:08:25 >> I'm recording audio to clone my voice.
1:08:27 Afterward, I'll be able to produce
1:08:28 speech that sounds just like me. I can't
1:08:31 wait to hear what it sounds like.
1:08:32 >> All right, I got to do this with the
1:08:35 little microphone here. Um,
1:08:39 I'm recording audio to clone my voice.
1:08:41 Afterwards, I'll be able to
1:08:47 I'm recording audio to clone my voice.
1:08:49 Afterward, I'll be able to produce
1:08:51 speech that sounds just like me. I can't
1:08:53 wait to hear what it sounds like.
1:08:57 I'm recording audio to clone my voice.
1:08:59 Afterward, I'll be able to produce
1:09:01 speech that sounds just like me. I can't
1:09:03 wait to hear what it sounds like. All
1:09:05 right, so we'll we'll call this Kyle
1:09:08 overacting.
1:09:09 [laughter]
1:09:12 Description. Um, Kyle when he is
1:09:15 overacting.
1:09:17 [laughter]
1:09:22 It's Oh, by the way, if you're new here,
1:09:24 a lot of this channel is just me
1:09:26 entertaining myself. All right. Clone.
1:09:29 Yes, I have permission.
1:09:38 It's nice to meet you. Hope you're
1:09:40 having a great day.
1:09:42 That's pretty good. Um,
1:09:46 welcome to the AI learning lab.
1:09:51 You should treat AI as a practice.
1:10:00 You can either
1:10:04 compete
1:10:06 with AI or collaborate
1:10:11 with AI.
1:10:13 Your choice.
1:10:16 The latter
1:10:20 sucks less.
1:10:23 [clears throat]
1:10:28 Welcome to the AI learning lab. You
1:10:30 should treat AI as a practice. You can
1:10:32 either compete with AI or collaborate
1:10:33 with AI. Your choice. The latter sucks
1:10:36 less.
1:10:38 >> It's not bad.
1:10:40 >> Welcome to the AI learning lab.
1:10:42 >> That was bad.
1:10:43 >> AI as a practice. [laughter]
1:10:44 >> That was really bad.
1:10:46 >> Welcome to the AI learning lab. You
1:10:49 should treat AI as a practice. You can
1:10:51 either compete with AI or collaborate
1:10:53 with AI. your choice. The latter sucks
1:10:56 less
1:10:58 >> website. The one I'm on right now is
1:11:00 Cartisia.
1:11:01 Cartesia.ai.
1:11:03 C A R T E S I A. So, it's like 11 Labs,
1:11:08 but I think this one's better than 11
1:11:10 Labs. Provoice clone. Oh, you can do the
1:11:13 Provoice clone.
1:11:16 You'll need 30 to 120 minutes of audio.
1:11:26 And then it's more expensive to uh to
1:11:29 generate.
1:11:31 But the instant voice cloning is pretty
1:11:33 good. Localize a voice. Oh, pompus Kyle.
1:11:39 So the input is pompus Kyle.
1:11:43 The output language.
1:11:47 Oh, accent.
1:11:50 So wait. So, we'll do English and then
1:11:52 we'll do accent. Oh, this is cool.
1:11:54 Southern. Let's do me as southern. Kyle.
1:11:58 Kyle overacting.
1:12:01 Southern.
1:12:08 Isn't Pompus Kyle British? Yes. Okay,
1:12:10 let's go do that. Wait. So, okay. So,
1:12:12 wait. We'll localize.
1:12:16 Oh, it may take up to 30. Oh, 30 seconds
1:12:20 to localize your voice.
1:12:27 Try Sonic 3.
1:12:33 I think I'm using Sonic 3.
1:12:42 All right, let me try [clears throat]
1:12:45 Pompus Kyle.
1:12:48 See if we can throw in some British.
1:13:11 Scroll down. Nope, there's no scrolling.
1:13:16 Localize. Localizing voice. Okay, now
1:13:18 it's working.
1:13:20 Or maybe I just didn't see that before.
1:13:22 It's in the bottom right there. It's
1:13:24 doing something.
1:13:26 Localizing voice.
1:13:29 Yes, rather. Carrying on.
1:13:34 All right, here we go.
1:13:37 It's nice to meet you. Hope you're
1:13:40 having a great day. All right. So, good.
1:13:43 So, let's put in our big old
1:13:46 >> Ah, Splendid. You're the one I've heard
1:13:48 so very much about. Now, before we go
1:13:51 any further, purely for my own clarity,
1:13:53 you understand. Might I trouble you to
1:13:55 outline your qualifications? Nothing
1:13:57 tedious, of course, just the highlights.
1:14:02 It's not bad.
1:14:04 [laughter] Yes. Uh yes. Um let's see. Uh
1:14:09 yes, that is fascinating.
1:14:14 Mr. Shannon,
1:14:17 but being that you are technically
1:14:23 an employee
1:14:27 of British Airways,
1:14:33 you likely
1:14:37 understand
1:14:40 that
1:14:41 when we travel
1:14:45 for free.
1:14:47 We are required
1:14:50 [laughter]
1:14:52 required to wear
1:14:57 dot dot dot smart dot dot dot pants.
1:15:04 Good day, Mr. Shannon.
1:15:09 This was a real conversation I had.
1:15:12 Good day. [laughter]
1:15:16 >> Yes, that is fascinating, Mr. Shannon.
1:15:19 But being that you are technically an
1:15:21 employee of British Airways, you likely
1:15:23 understand that when we travel for free,
1:15:25 we are required to wear smart pants.
1:15:29 Good day, Mr. Shannon. Good day.
1:15:32 >> It's not quite there, but it's not bad.
1:15:34 >> Yes, that is fascinating, Mr. Shannon.
1:15:37 But being that you are technically an
1:15:38 employee of British Airways, you likely
1:15:40 understand that when we travel for free,
1:15:42 we are required to wear smart pants.
1:15:46 >> Day, Mr. Shannon,
1:15:47 >> I know we might not be in Sonic 3. Let's
1:15:49 Let's go see if this is different. This
1:15:52 is text to speech. Yeah, there's Pompus
1:15:55 Kyle.
1:15:58 >> Ah, Splendid. You're the one I've heard
1:16:00 so very much about. Now, before we go
1:16:02 any further, Pure. Now, is there do I
1:16:05 have
1:16:08 do I have British me? No.
1:16:13 I guess you have to do the
1:16:15 you can't save the uh the dialect as a
1:16:18 separate thing.
1:16:21 Oh, no I can. Yeah, here I can. Ah,
1:16:24 splendid. You're the one I've heard so
1:16:26 very much about. Now, before we go any
1:16:29 further, purely for my own clarity, you
1:16:32 understand. Might I trouble you to
1:16:33 outline your qualifications? Nothing
1:16:35 tedious, of course, just the highlights.
1:16:39 That's not bad. All right.
1:16:43 [snorts] Make him mad. Oh, yeah. Let's
1:16:45 see. Calm, neutral, excited, angry. All
1:16:49 right. Here he is. Angry.
1:16:52 >> Ah, splendid. You're the one I've heard
1:16:54 so very much about. Now, before we go
1:16:56 any further, purely for my own clarity,
1:16:58 you understand? Might I trouble you to
1:17:00 outline your qualifications? Nothing
1:17:02 tedious, of course, just the highlights.
1:17:04 >> Here, let's try calm. Calm. Calm is more
1:17:07 of this personality.
1:17:09 >> Ah, splendid. You're the one I've heard
1:17:11 so very much about. Now, before we go
1:17:13 any further, purely for my own clarity,
1:17:15 >> man, that sucked. Content. What's that
1:17:18 one? Excited. Sad.
1:17:21 We'll do content.
1:17:23 >> Ah, splendid. You're the one I've heard
1:17:24 so very much about. Now, before we go
1:17:27 any further, purely for my own clarity,
1:17:29 you understand. Might I trouble you to
1:17:31 outline your qualifications? Nothing
1:17:33 tedious, of course, just the highlights.
1:17:36 >> Let's see. Um,
1:17:40 write me a sophisticated
1:17:46 poem with word play,
1:17:51 double and triple
1:17:54 on Tandras,
1:17:58 and lots of imagery
1:18:02 about
1:18:07 A man's love of candy.
1:18:11 [laughter]
1:18:14 I just said Twizzlers before I came on.
1:18:18 He speaks of sweets as others speaks
1:18:20 speak of saints. All right, let's let's
1:18:22 give let's give Cartisia a nice meaty
1:18:25 poem. [laughter]
1:18:27 Oh, wait. You're not you're not looking
1:18:28 at this. That doesn't matter. Okay, here
1:18:30 we go. Um,
1:18:34 so here's my poem.
1:18:36 Let's see. There we go.
1:18:41 And what is it? Every four lines.
1:18:45 Yeah.
1:18:49 Every four lines.
1:18:52 Bang.
1:18:53 Bang. Bang. Bang.
1:18:58 Bang.
1:19:00 Bang.
1:19:03 All right.
1:19:06 >> He speaks of sweets as others speak of
1:19:08 saints in whispers sugared, reverent,
1:19:11 and obscene.
1:19:12 >> Let's do this excited.
1:19:16 He speaks of sweets as others speak of
1:19:18 saints in whispers sugared, reverent,
1:19:21 and obscene. Each syllable a caramel
1:19:23 that melts between his tongue and teeth
1:19:26 a slow dissolve of restraint. Licorice
1:19:29 lines his thoughts and coils and sin.
1:19:31 >> Don't like it. Let me Let's do Let's do
1:19:34 overacting Kyle.
1:19:39 >> He speaks of sweets as others speak of
1:19:41 saints in whisper sugared reverent and
1:19:47 He speaks of sweets as others speak of
1:19:49 saints in whisper sugared reverent and
1:19:52 obscene. Each syllable a caramel that
1:19:54 melts between his tongue and teeth a
1:19:57 slow dissolve of restraint.
1:19:59 >> That's pretty close.
1:19:59 >> Licorice lines his thoughts and coils in
1:20:02 sin. Black ribbons wrapping logic's
1:20:04 brittle spine. He swears devotion to
1:20:06 nougat and rind. Says loves a sucker
1:20:09 punch. He takes it on the chin.
1:20:11 Chocolate his church.
1:20:13 >> Sounds like high school English. It
1:20:15 does. This is a good solid high school
1:20:17 poem. [laughter]
1:20:23 Oh man. All right, enough enough
1:20:26 playing. Um,
1:20:30 so so one thing that I would like to do,
1:20:32 um, Brandon's put together a really
1:20:35 cool, um, a really, cool is not the
1:20:39 right word, a a very generous, uh,
1:20:42 offering. So,
1:20:44 as you as you may know or likely know,
1:20:48 um people that are on SNAP benefits are
1:20:51 about to enter the weekend and uh and
1:20:54 basically face Monday potentially
1:20:55 without food. Um I I assume this is some
1:21:00 version of governmental theater and
1:21:03 there'll be some last minute reprieve,
1:21:04 but if there's not um and it's very
1:21:06 possible that there's not going to be,
1:21:07 there's going to be a lot of people
1:21:08 struggling. So, Brandon, do you want to
1:21:10 come up? Can you come up and share what
1:21:12 what you've put together and and what
1:21:13 you've been thinking about?
1:21:18 >> Yeah. And I don't know what's going on
1:21:20 with my camera. Um so let me let me
1:21:23 switch over here.
1:21:24 >> All right. There we go.
1:21:25 >> There you go.
1:21:25 >> Y um so yeah, so I uh put together a
1:21:29 custom GPT,
1:21:31 >> which if you're new here, those are just
1:21:33 basically customized versions of chat
1:21:36 GPT that you can put instructions
1:21:39 around. And I used the conversation mode
1:21:42 when I was building it. So I knew that
1:21:45 there was going to be this problem and
1:21:47 people were going to be without
1:21:48 resources. And I know that United Way is
1:21:50 a great resource and you should call 211
1:21:52 in your local community. They have great
1:21:53 volunteers nationwide that are available
1:21:55 24 hours a day. But if you don't want to
1:21:57 talk to somebody and you need help, uh
1:22:00 you now have the ability to
1:22:03 uh talk to chat GBT. And keep in mind
1:22:06 with custom GPTs in this case, I didn't
1:22:08 add any proprietary data. I didn't put
1:22:12 anything behind it that you couldn't
1:22:14 find in a Google search. But what I did
1:22:16 was I gave it a personality. I gave it a
1:22:19 tone. I gave it a
1:22:22 benchmark of what I wanted it to be, a
1:22:25 personality of who I wanted it to be.
1:22:27 And so if you come over to chat GPT and
1:22:30 you click on explore under the GPT tab,
1:22:34 you just either search for my name uh
1:22:36 Brandon Ted or you search for the word
1:22:39 snap and you'll probably find this help
1:22:41 after snap uh GPT. And what this is is a
1:22:46 conversational AI.
1:22:47 >> You're not sharing your screen if you
1:22:48 think you are. Oh. Uh, well,
1:22:53 it's [snorts]
1:22:56 how about now?
1:22:57 >> Yep. [clears throat]
1:22:59 >> All right. So, if you come over to
1:23:00 explore GPTs and search in the bar for
1:23:03 either my name or SNAP or help after
1:23:05 SNAP is the name of the GPT, we start
1:23:09 the chat and uh it's got some prompts
1:23:11 here. So, you can either find a food
1:23:13 assistance. You give it your zip code
1:23:15 and find food assistance. What can I do
1:23:17 after losing SNAP? connect to local 211
1:23:19 services uh or connect create a resource
1:23:22 list for a client if you're in a
1:23:25 caseworker or a volunteer that's trying
1:23:27 to help somebody else. But if you click
1:23:29 on like what would I do after losing
1:23:30 SNAP, not only is it going to give you
1:23:32 the information, but most importantly,
1:23:34 it's going to give you empathy. You
1:23:35 know, I'm really sorry you're going
1:23:36 through that. It's it's really
1:23:38 stressful. The good news is that there
1:23:39 are still ways to get food. So I did
1:23:41 that on chat GPT which a lot of people
1:23:45 have access to but if you don't have
1:23:47 access to chat GPT I also built an
1:23:50 Instagram avatar that's susie snaphelper
1:23:54 that has the same instructions but is
1:23:56 available on Facebook Messenger on
1:23:58 Instagram Messenger and on WhatsApp. So
1:24:01 you can have that same conversation in
1:24:03 this environment as well if you don't
1:24:05 want to pour your uh conversation out
1:24:08 onto chat GPT. So, they're both free to
1:24:10 use and I hope that they they help
1:24:12 somebody.
1:24:14 >> That's absolutely awesome. So, first of
1:24:16 all, thank you for doing that, for
1:24:17 thinking of that. Um, what I'd love to
1:24:20 do, Brandon, we should let's grab the
1:24:22 recording from tonight. Let's grab that
1:24:24 as a snippet and we'll we'll boost that
1:24:27 on our socials. We'll put it on the
1:24:28 salon, but let's also get it out on the
1:24:30 socials. And then my request to all of
1:24:33 you is when we put that video out there,
1:24:36 um, or if you went and found that right
1:24:37 now and you want to talk about it and
1:24:39 tag the salon and tag Brandon, that
1:24:41 would be great. Um, but yeah, let's get
1:24:43 it out there because I think it's, you
1:24:45 know, if if indeed we're we're headed
1:24:47 down the path it looks like we're headed
1:24:49 down, then people might be might be
1:24:51 looking for help and that's super cool
1:24:53 that you did that. So, thank you.
1:24:56 >> Yep. My point.
1:24:57 >> Yep. Beautiful. Um, you know, back to
1:25:02 back to AI as a practice. Um,
1:25:06 the whole point of talking about AI as a
1:25:10 practice has nothing to do with AI. It
1:25:13 has to do with us as human beings
1:25:18 trying to figure out who we are.
1:25:22 And in in doing that, understanding that
1:25:24 these tools might help us do other
1:25:27 things or do more than we might be able
1:25:29 to do on our own. And I think the
1:25:31 project that Brandon just showed us is a
1:25:34 really good example of, you know, he put
1:25:37 himself forward first, right? He had
1:25:40 this idea. He had this compassion and he
1:25:42 said, "Hey, you know, I'm in touch
1:25:44 enough with what's going on and what's
1:25:46 possible with AI. I can just whip whip
1:25:49 this thing up. I can just put it out
1:25:50 there." So, just like the advent
1:25:52 calendar just got put out there, um he
1:25:56 was able to kind of have this thought
1:25:57 and just instantly be in action.
1:26:01 That's the whole idea of AI as a
1:26:04 practice is that you're just in the
1:26:07 practice of thinking about it and right
1:26:10 to the point that it becomes second
1:26:12 nature. So, when you have an idea like
1:26:13 that, I want to make a difference. Oh, I
1:26:16 could just go make a difference, right?
1:26:18 So anyway, kudos, kudos, kudos. Um,
1:26:22 what's Brandon's link? If you go to
1:26:24 Brandon, where do you want to put it on
1:26:26 on uh on the salon? I guess in in the
1:26:29 community feed and in irregulars
1:26:33 and then we'll do it when we get the
1:26:35 when we get the video together, we'll
1:26:37 put that in uh we'll do it as a salon
1:26:39 announcement. It's in the community feed
1:26:41 right now. So, if you go to
1:26:43 community.thesalon.ai
1:26:46 AI
1:26:49 on the left hand side you'll see toward
1:26:51 the top there's a there's a little uh
1:26:53 space an area called community feed and
1:26:56 it's right in there. All right. And
1:26:58 yeah, do me a favor and and go share
1:27:00 that go share that out with the world.
1:27:04 All right.
1:27:06 Beautiful
1:27:08 snap assistance helper. Very cool. All
1:27:12 right. Digital gods.
1:27:16 Super Brandon. Awesome. Chef Kelly. Chef
1:27:19 Kelly. I had a nice talk with Chef Kelly
1:27:21 today. By the way, Chef Kelly showed me
1:27:23 some stuff that she put together. I
1:27:26 called I called her out. She showed me
1:27:28 this really nice site she was working on
1:27:29 and before she started demoing it, I'm
1:27:31 like, "Wait a minute. Did you vibe code
1:27:32 this?" She was like, "Yes, I did." I was
1:27:34 like, "Yes." [laughter]
1:27:37 She didn't need a technical co-founder
1:27:39 to uh to do that. And it was, I gotta
1:27:42 tell you that I was really impressed
1:27:43 with what you put together. That was
1:27:45 super cool. Um, you know, again, that's
1:27:49 the thing is
1:27:52 if you start internalizing what AI makes
1:27:56 possible,
1:27:58 then you don't
1:28:02 you will transform from having to think
1:28:05 about the tools to just kind of feeling
1:28:08 what's possible. And I know that sounds
1:28:11 like woo woo, but I don't know if you
1:28:13 heard this, but the the resonance of the
1:28:16 earth today is shifting from 7.8 hertz
1:28:20 to 78 hertz. There's some weirdass thing
1:28:24 going on. And the frequency of the earth
1:28:27 is is going up by an order of magnitude.
1:28:30 And so if you're feeling blissful today,
1:28:33 it's probably because you're in touch
1:28:35 with the earth. [laughter]
1:28:41 >> [screaming]
1:28:44 >> Um,
1:28:46 all right. So, here's here's another
1:28:48 thing. So, here's what I want you to do.
1:28:49 Tomorrow is Halloween. Friday, Friday
1:28:53 night, date night. It's Halloween.
1:28:56 So, what I want you to do is I want you
1:29:00 as part of your daily AI practice, I
1:29:03 want you to if you're in midjourney, I
1:29:05 want you to go find like a good mood
1:29:06 board or make a mood board or go find a
1:29:09 style that you like. If you like Nano
1:29:11 Banana, go go do some things there. I
1:29:14 want you all thinking about Halloween
1:29:17 images you could make. Now, here's the
1:29:18 deal.
1:29:20 I don't want these to just be like, "Oh
1:29:24 yeah, make a picture of a zombie like
1:29:25 just boring like quick little prompts."
1:29:28 I want you to think about create
1:29:30 excellence that that sort of second
1:29:32 stage. If the first stage of AI
1:29:34 readiness is play, that second stage of
1:29:37 create excellence,
1:29:39 come up with an idea. So it might be a
1:29:41 song, it might be a video, it might be a
1:29:43 series of images, it might be a mood
1:29:46 board that you can share with other
1:29:47 people. But tomorrow night, what I want
1:29:49 to do is I just want to have a blast
1:29:51 making not just Halloween art, but like
1:29:54 really kickass Halloween art. All right.
1:29:58 So, if you haven't been running down the
1:30:00 Halloween rabbit holes,
1:30:02 start doing that. And then tomorrow on
1:30:04 Friday night date night, we'll have a
1:30:06 good a good potty. We'll have a
1:30:08 beautiful potty.
1:30:11 All right.
1:30:13 It's [laughter] Halloween. Kyle must do
1:30:15 battle with Dar.
1:30:21 Oh my god, Dar the Tik Tok star. How we
1:30:26 miss her.
1:30:28 [laughter]
1:30:33 Okay, tomorrow. Um
1:30:38 there's Friday night date night.
1:30:39 Tomorrow night should be normal time.
1:30:42 Um,
1:30:44 at 11:00 a.m. Mountain time is AI office
1:30:48 hours. So, how you find that is you go
1:30:50 to my LinkedIn profile, Kyle Shannon on
1:30:52 LinkedIn, and just go to my events, and
1:30:55 you'll see you'll see them in there.
1:30:56 It's always the same URL, and that's at
1:30:59 11:00 a.m.
1:31:02 Um, it's also posted in the AI Salon
1:31:05 now. So, if you go into the AI salon and
1:31:06 click on events, you'll see my office
1:31:09 hours, the AI salon office hours and
1:31:11 meet and greet is in there. So, you can
1:31:13 you can get to the link that way. Um and
1:31:16 then the other thing, so next Tuesday is
1:31:20 um is our AI salon presents and
1:31:25 what we're actually presenting is um
1:31:31 an articulated version of um this AI as
1:31:37 a daily practice um that is ultimately
1:31:40 going to make its way into the AI salon
1:31:43 mastermind. And so the mastermind right
1:31:45 now is just kind of a it's a
1:31:47 subscription-based area and there's
1:31:49 there's clubs and things in there. We're
1:31:51 completely rearchitecting how we're how
1:31:53 we're doing the mastermind. What the
1:31:55 mastermind is going to become is that's
1:31:57 going to be going to be the place where
1:31:59 you go to design your daily AI practice.
1:32:02 We're going to do it in this structured
1:32:03 way. I'm really excited about what we're
1:32:05 doing. But we're going to introduce that
1:32:07 idea of AI as a practice next Tuesday.
1:32:10 And so I'm going to talk about things I
1:32:12 do. Um, Liz Miller Gersfeld, my co-host,
1:32:15 is going to talk about things she does.
1:32:16 It's this is really her her brainchild
1:32:19 is this whole idea. Um, so she's going
1:32:22 to talk about, you know, what we're
1:32:24 doing and how she does it. And then
1:32:25 we're going to hear from other people in
1:32:27 the community, um, who really do treat a
1:32:30 AI like a practice. So, next Tuesday is
1:32:32 going to be quite a powerful session,
1:32:35 quite a powerful meeting. So, uh, from
1:32:38 5:00 p.m. to 700 p.m. Mountain time next
1:32:41 Tuesday night. So, put it on your
1:32:43 calendar and just be there. All right.
1:32:46 Um, if you're treating AI like a
1:32:48 practice, there may be time at the end
1:32:50 for, you know, we're getting some people
1:32:51 to agree ahead of time. There might be
1:32:53 time for other people to share, but it's
1:32:55 going to be super inspiring. Okay. So,
1:32:58 tomorrow night, high quality Halloween
1:33:02 tomorrow, 11:00 a.m. Come to office
1:33:04 hours. You can come in costume, too.
1:33:06 That would be cool. [laughter]
1:33:09 And then uh and then next Tuesday um
1:33:13 we've got the AI salon presents. We're
1:33:14 going to talk about this AI's daily
1:33:16 practice. All right.
1:33:20 [laughter]
1:33:20 Brandon's costume is going to be AI
1:33:22 generated.
1:33:26 I'm gonna I'm gonna go as a as a fat
1:33:29 entrepreneur [laughter]
1:33:33 with bad hair.
1:33:36 Ang Angry Gen X. Yeah, I'm going to call
1:33:39 this the Angry Gen Xer. [laughter]
1:33:43 Oh, good lord. Good people. All right,
1:33:46 cool. Hope you had fun tonight. Maybe
1:33:49 learned a little something. Um, Groovy,
1:33:52 have a good one. All right,
1:33:55 peace out.