12/23/2025 - A Detailed Review of the AI Festivus Schedule and Essential Education Sessions

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0:02 Come on, buddy.
0:03 >> Did Michael also tell you to always use
0:06 gum in your mouth while you're on live?
0:09 [laughter]
0:13 [music]
0:46 Hello.
0:52 [music]
1:03 [music]
1:10 Down.
1:24 >> [music]
1:49 [clears throat]
1:51 >> Every time I see it now,
1:55 get that look in mine.
1:59 Every time I see your mouth, I [singing]
2:03 hear that smile.
2:06 The early misty [music and singing]
2:08 morning that I felt the engine [music]
2:19 [music]
2:31 [singing and music] today
2:34 leaving this
2:38 someone [singing] else golden ring.
2:42 [music]
2:52 Do I have my audio settings wrong? Maybe
2:54 I have my audio settings wrong. Vicky
2:56 Bap taste. Maybe I turned on noise
2:59 cancellation.
3:00 Hang on. Let me let me check. Just came
3:05 here to say the same thing. Okay, fine.
3:08 Audio. Um, echo cancellation. Reduce
3:11 background noise. There's your problem.
3:14 How's this?
3:16 Every time I see you now, get [singing]
3:19 that look in mine.
3:22 [music]
3:23 Every time I see your mouth, I feel that
3:26 smile.
3:29 That should be better
3:33 in the early [singing] misty morning.
3:35 [music]
3:36 You know, we're professionals around
3:38 here. We know how to troubleshoot
3:39 problems. You got spotty audio, you got
3:41 the wrong settings. You go in, you fix
3:43 them, you get moving, you go back to
3:44 your song, you go back to singing, boom,
3:47 professional. You understand what I'm
3:49 saying? Mhm.
3:52 Who needs a producer when you have
3:53 Vicki?
3:54 [music]
3:59 Yeah, I was on I was on some something
4:02 or other and we used Streamyard and we
4:05 were having audio issues the other way.
4:06 So, I had to turn on echo cancellation
4:10 or not echo but background noise
4:21 champ. You going to sing to this? You
4:23 like this song, don't you?
4:29 Sitting in this lonely town. [music]
4:33 Wonder when things are going to change.
4:37 Dream [music] my life [singing] away.
4:40 Seems these dreams have turned to a
4:42 bunch of dust clouds.
4:45 [music]
4:46 Get my nerve up, but my past is pulling
4:50 [singing] me down.
4:53 wondering how [singing] long
4:56 this [music] black sheep don't stick
4:58 around.
5:01 [music]
5:03 Somebody told me once before, he said,
5:06 "You can never go home
5:07 [singing and music] again.
5:09 Won't you leave?" said things to steer
5:12 [singing and music] me away. Yeah. From
5:15 the truth of who I am and what I
5:17 believe. So I thanked him for two cents
5:21 with a handshake
5:22 and some sympathy. Yeah.
5:25 [singing and music]
5:26 Packed up my blue jeans,
5:29 headed for this big prize
5:33 of my freedom.
5:36 Bye-bye.
5:38 Champion is not background noise. I
5:41 would beg to differ. [laughter]
5:48 Champy. Champy is the lead singer.
5:51 Champy is the lead singer. They come
5:54 here for Champ,
5:56 right, Champy? His tail's wagging.
5:59 [music] He knows we're talking about
6:00 him. Do you know we're talking about
6:02 you, champ? Yeah. [music]
6:09 [music]
6:19 [music]
6:26 Standing between [music]
6:29 you and a hard place is insane.
6:32 >> [music]
6:35 >> Standing too near [singing]
6:38 you in a [music] fire makes it clear.
6:44 You're trouble to [music] me.
6:50 Real trouble. [singing]
6:51 Can't you see? [music]
6:55 Leaning in close. [music]
6:58 Smell of your perfume scares me most.
7:03 >> [music]
7:04 >> Leaning away
7:07 feels stronger [singing]
7:08 every day.
7:12 [music]
7:13 You're trouble to me.
7:18 [music]
7:19 Real trouble. Can't [singing] you see?
7:23 [music]
7:28 OH, GOOD GLORY. GOOD PEOPLE. What is
7:32 happening? Happy. Can we fix the camera?
7:36 What's broken about it? What What are we
7:40 trying to fix? Trying to lean it down a
7:43 little. This like that. Is that it?
7:46 [music]
7:48 Oh, pull it up. I see what's going on.
7:51 There you go. How's that for commenting?
7:54 These Tik Tockers, let me tell you
7:57 something. They are a very demanding
7:59 bunch. You get like two seconds to have
8:02 something not quite right for their
8:04 little party over there and they're all
8:06 like, "Uh, excuse me. Excuse me. Excuse
8:08 me, Mr. Shannon. Mr. Shannon, Mr.
8:10 Shannon, we're having difficulty reading
8:12 some of the comments." Yes. Yes. We're
8:15 we're we're a very vocal group. We're a
8:19 [laughter] very vocal minority.
8:24 [music]
8:28 Uh, what's that? I was sent the AI
8:31 version of this song by Silverf Fox.
8:34 [music] I would really love to have this
8:36 song, Kyle.
8:39 [music]
8:42 I published I published uh Trouble. I
8:47 did I did I do two versions of it? I
8:49 think I did two versions of it that I
8:52 published. Um, let me go let me go see
9:05 tabs. Yep. I I I tabbed it up. I tabbed
9:09 it up. Let me go to library and then let
9:11 me go to trouble.
9:14 Trouble.
9:20 And then if I go filter public,
9:44 [singing]
9:45 >> that's not one I thought I published.
9:50 But I like it. [music]
9:54 >> Oh, by Kyle Singh. Oh, that one. Oh,
9:58 really? See, see [laughter]
10:02 that that that was so foreign to me
10:05 [laughter] that you would want the
10:06 version with me singing it. Oh, that
10:09 that Well,
10:12 [laughter]
10:16 that is very sweet. [music]
10:18 >> [laughter]
10:21 >> Oh, [music] the organic one.
10:31 I guess my one year will start after the
10:33 AI festivist in the salon.
10:36 No way, Sonia. Your your one year your
10:39 one year starts last night. You came in
10:42 strong. I I got to tell you. So, if
10:44 you're if you're new here, last night
10:47 Sonia came in and she was like she was
10:49 like, "What the hell is this?"
10:51 [laughter]
10:52 She I don't think she I don't think she
10:54 cusses. I don't think she swears, but it
10:56 was it was that was the spirit of it.
10:58 She was like, "I was I was uh I I was
11:01 searching AI and I stumbled upon this
11:03 here live and like there's a dog singing
11:06 and you're playing guitar. What What is
11:07 going on here?" And then she discovered
11:10 we actually have some stuff going on. We
11:11 have the AI salon and we've got the AI
11:14 Festivus and we have a singing dog.
11:17 [laughter]
11:18 So you officially started last night.
11:22 I do like a sailor. Okay, good. I'm an
11:24 engineer in the Bay Area. Okay. Yeah. So
11:27 So you can swear. You can swear. Right.
11:29 Good.
11:32 [music]
11:38 [music]
11:39 Brandon told me last night uh that in
11:41 the comments you said that you had
11:42 worked on the original Palm Pilot. I
11:44 owned one of those. I owned the original
11:47 Palm Pilot. That thing was pretty that
11:49 was pretty exciting. That was the first
11:52 I owned a Newton. I owned the first
11:53 Newton.
11:55 and and owning the first Newton was was
11:58 absolutely
12:00 if you don't know what the Newton was,
12:01 it was an Apple device that was like the
12:04 it was it was pretty much the size of
12:07 this screwdriver set, but it was longer.
12:10 It was big [laughter]
12:14 and uh you could see that the future was
12:18 in it, but it wasn't the future. And
12:21 then the Palm Pilot came out and it was
12:24 like it was um technically kind of a
12:26 step back from the Newton but it was so
12:29 simple and elegant that it was like ah
12:31 [clears throat] that felt like the
12:32 future. The Palm Pilot was the first
12:33 thing that felt like the future. That's
12:35 pretty cool. We have all asked at one
12:37 time or another what the heck is this?
12:39 Yes, I ask nightly.
12:44 [music]
12:49 [music]
12:54 [music]
12:58 Oh, that's good. Um I Yeah, I saw that
13:01 she had done that. Oh, web us. We have a
13:03 wireless.
13:05 We had wireless charging
13:08 in 2008. Apple had it in 2015. That's so
13:12 cool.
13:14 Festivus is a national holiday.
13:15 [laughter]
13:17 AI festivis is a is once a year, baby.
13:20 [laughter]
13:24 [music] Standing between
13:29 you and [singing] haunt place is [music]
13:31 insane.
13:37 Standing too near
13:41 you in a file makes it clear
13:45 [music]
13:48 your trouble [music]
13:50 to me.
13:54 [music]
13:55 Real trouble. Can't you say?
14:00 [music]
14:06 [music]
14:13 [music]
14:23 There's been something, baby, I've
14:25 [music] been trying to say
14:30 for an age, and it seems I don't know
14:32 how [music]
14:36 with the past and the future now
14:38 [singing] surrounding me. [music]
14:43 Surrender to whatever dream, thrill can
14:46 be found.
14:48 [music]
14:49 There's been [singing] a little trouble
14:53 since you came [music] to my rescue.
14:58 [music]
15:00 And if you were like all of the rest, I
15:03 would have quit long ago, but I couldn't
15:06 do that. [singing]
15:07 [music]
15:11 Oh, [singing] tell me now, women. Why I
15:14 never went to Well,
15:19 make a man crazy, make
15:20 [music and singing] him cold as hell.
15:25 I'm a woman that you wish me well.
15:29 But in spite of your trying,
15:31 [singing and music]
15:32 still going to have to find
15:35 my way through. [music]
15:41 All right, let's get this show on the
15:42 road. Let's get going there. So, we are
15:44 we are like 60 hours out. It's the day
15:47 before the day before Festivus Tik Tok
15:49 pit.
15:51 My car has Wi-Fi and I can't get over
15:53 it. [laughter] That's awesome.
15:55 Did you see the [ __ ] Whimos?
15:58 [laughter]
16:00 This is astounding to me. How long's
16:02 been out? 10 [ __ ] years.
16:04 So the top third of San Francisco loses
16:08 power and so all the street lights stop
16:11 and [laughter] the Whimos all the Whimo
16:13 cars don't know what to do because their
16:16 entire training is based on street
16:18 lights, [laughter]
16:20 traffic lights. So they all just stopped
16:23 where they were and turned on their
16:25 hazard lights. [laughter]
16:33 Oh my god.
16:36 [laughter]
16:37 Oh my god. It's so funny. I mean,
16:41 listen, I I mean, it's not funny because
16:43 I'm sure people were stuck places trying
16:46 to get the [ __ ] [laughter] out out and
16:48 they couldn't because the robot the
16:51 robot cars couldn't figure out what to
16:53 do. It it it baffles my mind. It boggles
16:58 the mind that at some point some
17:01 engineer somewhere didn't go, "Hey, uh,
17:04 what if there were no traffic lights?"
17:06 [laughter]
17:09 And this is why we can't take the
17:10 steering wheel away. Oh [laughter] my
17:13 god.
17:16 They're all just like,
17:21 [laughter]
17:23 [gasps]
17:24 um, the next five years are going to be
17:27 a [ __ ] trip, everybody. They're going
17:29 to be a trip
17:31 cuz these cute little LLMs that we have
17:34 right now, they're they're getting more
17:35 than cute. And I think 2026 is going to
17:38 be the first year where they start to
17:39 get they start to get strong enough that
17:42 it's like, oh [ __ ] okay. All right. All
17:45 right. They showed up. They showed up.
17:47 What are we going to do with that now?
17:48 And then probably 26, maybe 27,
17:53 we're going to start to see robots. And
17:55 we've got robot cars. And then we're
17:56 going to have walking robots. And you
17:58 know, there's going to be more than one
18:00 Tik Tok video of of a robot losing its
18:03 [ __ ] in a piggly wiggly. [laughter]
18:08 And I'm here for it.
18:10 Whimo didn't have an angry jet Xer in
18:12 the corner. If if Whimo had had an angry
18:15 Gen Xer in the corner, at some point
18:17 they would have gone, "Hey, you know how
18:19 the uh what's it called? The uh I'm not
18:22 a technical person, but the with the
18:25 electricity and the wires. Oh, you mean
18:28 the electric grid?" Yeah. Yeah. What if
18:30 one day like that went out and all these
18:32 lights stopped working?
18:35 That that's a it's a very low
18:36 likelihood. It's the uh the electric
18:38 grid has a 99.62% 62% uh percentage of
18:42 of being up. It the chances of it being
18:44 down for more than a seven seven minutes
18:48 and 32 seconds technically. Probably a
18:51 little longer if you round it round it
18:52 down or up. Anyway, um yeah. Yeah. No.
18:56 Yeah. We're here. Here's the thing. Put
18:59 in the Can you write the code to make
19:01 the thing so if it doesn't know what to
19:03 do, it pulls over?
19:05 >> Well, that that would be RELATIVELY
19:07 TRIVIAL. YEAH, [ __ ] DO THAT.
19:11 >> [laughter]
19:14 >> I SAW THE ROBOT dancing in a concert in
19:16 China. Too good. Yeah, Pav. That that
19:19 those robots dancing in China. Those
19:21 were trippy, man. They're fast. That's
19:24 China's China's working on the scary
19:26 fast robots. Ours are still like elderly
19:30 elderly patients coming out of some sort
19:32 of rehabilitation
19:34 situation. When chiners are like whoop
19:37 whoop they're doing concerts and dance
19:40 moves. [laughter]
19:44 Vicky Vicky Baptiste our traffic lights
19:46 go out on the regular. That's not
19:48 normal. I I'm telling you like how is it
19:50 possible they somehow have never
19:53 encountered traffic lights being out?
19:56 [laughter]
19:57 I just
19:59 I I know. Listen, I'm just an angry Gen
20:02 Xer. I I don't I do not know of your
20:04 engineering feats [laughter] and how
20:07 difficult it must be to make a car not
20:10 suck on its own, but that one's a big
20:14 one. [laughter]
20:18 Oh man, Scott Parker, the first gift
20:21 they've ever sent. You sent a rose. Very
20:23 nice. Thank you very much, Scott. I
20:25 appreciate that.
20:27 Oh man, happy holidays to you. You don't
20:30 know how you've helped me.
20:33 Great news to share soon. Good. Listen,
20:37 Festivus is coming up. If you're new to
20:40 this AI stuff, if you're trying to
20:41 figure this out, Sonia's in here. She
20:44 came in last night. She's trying to
20:45 figure this stuff out. She's back
20:47 tonight.
20:49 The single most important thing you can
20:52 do if you're trying to figure this AI
20:55 stuff out is get in community. AI
20:58 Festivus is a perfect opportunity to a
21:02 escape the madness of your family. Or if
21:05 you like your family, bring them. Come
21:08 to Festivus. Come hang out. Come meet
21:11 people. Come chat with them. Come watch
21:13 the presentations.
21:15 What you're going to what you're going
21:17 to likely go away with is a sense that,
21:23 oh,
21:25 I could probably do this.
21:27 Oh, it really you can do that? Like
21:32 that's possible? Like it'll be hour
21:35 after hour after hour of people showing
21:37 you stuff that you're just like, "Oh,
21:39 wow. I I've never thought about it like
21:41 that." Oh, like, "Oh my god, that's ah
21:43 that's remarkable." Um, that's what it's
21:46 going to be. Um,
21:48 okay. So, here's what I want you to do.
21:51 Go to aifestivist.com right now. Sonia
21:54 did this last night and she was asking
21:55 really good questions like, "Hey, what's
21:57 this deluxe replay bundle and and what
22:00 is the the mastermind and what is the
22:02 the um the AI readiness training
22:04 program? What are all these things?" Go
22:06 check all those things out. We've also
22:08 got a virtual trade show booth. If
22:10 you've got a brand and you want to get
22:11 your brand in front of people that are
22:13 curious about AI, trying to figure it
22:14 out, trying to be the next leaders in
22:18 whatever this thing is, nobody knows
22:20 what it is. I've been doing this for
22:21 three years now. I come on here nightly
22:24 and talk about AI and nightly someone
22:27 says sir may I inquire rather yeah
22:30 carrying on uh what pray by chance uh
22:33 not to offend [laughter]
22:35 uh are your qualifications
22:38 um and and
22:41 you know my qualifications are that I
22:43 show up
22:46 you know that I show up that I'm in the
22:48 conversation and not much more than that
22:51 because things are moving so fast in AI
22:53 right now that it's actually really hard
22:56 to be more than that. You have to be
22:59 adaptable. You have to be nimble. What
23:01 AI festivist is about is gathering
23:03 people who have kind of figured this out
23:05 to share where they are right now on
23:07 their journey. Some of the some of the
23:09 conversations are going to be people
23:11 that were just starting out last year
23:13 that came to Festivus, realized, "Oh, I
23:15 think I could do this." And have
23:17 transformed their lives. Some of the
23:19 people you're going to be hearing from
23:20 have been doing this AI stuff for 20
23:22 years. They were doing AI before it was
23:25 generative AI. They were doing old
23:26 school AI where you had to bring your
23:28 own data and know things like math.
23:32 [laughter]
23:33 It it was a time in AI where I was not
23:36 welcome. [laughter]
23:37 There are some of those people there.
23:39 There are IP attorneys. There are people
23:41 who are making films. There are people
23:43 who are um uh running their businesses,
23:47 transforming their businesses. Jim Jim
23:49 Ross is going to present. He's he's like
23:51 a 10p person
23:54 like highlevel executing team and he's
23:56 one guy. He's one guy running his
23:58 business executing on this really high
24:00 level because he's embraced all this
24:02 stuff. So that's what AI Festivus is
24:05 about. And I figure what we might do
24:06 tonight is just kind of kind of dig
24:08 through the uh the run of show, go
24:10 through the schedule and talk about
24:11 things. And then I also want to show um
24:16 Brandon put together a uh a little a
24:19 little contest called um called Salons's
24:24 Got Talent where people were invited to
24:27 submit anything and it could be anything
24:29 from an image to a song to an app to
24:32 something they wrote. Doesn't matter.
24:33 Just submit something. And so we got a
24:35 bunch of submissions in and uh we've got
24:38 five finalists. So I wanted to show you
24:40 those five finalists tonight and we'll
24:42 break some news and then we will reveal
24:45 the winner uh during festivist which is
24:47 really exciting. Um beautiful.
24:53 Uh
24:54 what else? Anyone have any thoughts
24:57 questions before I dive in? I'm going to
25:00 have a little hydration because I didn't
25:02 have it last night and I blew my voice
25:04 out. [laughter]
25:12 All right. [clears throat]
25:14 [gasps]
25:15 So, if you want to join the AI salon, go
25:18 to community.thesalon.ai.
25:21 You can go do that right now. Right now,
25:24 I would go do that. It'd be pretty good.
25:26 Be pretty good. All right. Here's this.
25:29 We're going to go into slideshow mode.
25:31 I'm going to share this tab. Brandon,
25:33 you want to hop up here and uh tell the
25:37 good folks about
25:40 the contest you put together.
25:42 >> Yeah. So, AI Salons's Got Talent. We've
25:45 actually been talking about doing
25:46 something like this for uh the better
25:48 part of a year. And with the mastermind
25:51 subscriptions going up uh January 1st
25:54 and all the hyperon festivists thought
25:56 wouldn't it be a great time to have this
25:58 contest and give away a free mastermind
26:01 subscription to the AI salon. So we put
26:04 it out there about a month ago and we
26:07 had uh if you want to go to the next
26:08 slide we had 20 submissions from 15
26:11 different people which by the way this
26:13 slide I have to say looks beautiful. Uh
26:16 Gemini built this slide for me. I had
26:18 just a standard like 20 submissions, 15
26:21 participants and I there was a icon in
26:25 Google Slides that says beautify this
26:27 slide and it made this which I think is
26:31 >> that's awesome.
26:32 >> So we we whittleled it down to five
26:34 finalists. And I'll tell you what, that
26:36 was a we had four judges. It was myself,
26:39 uh, Kyle, Liz, uh, Gersfeld, and Andy,
26:44 uh, who put together and kind of ranked
26:47 each one. And it was really tight. Like,
26:50 we're talking
26:52 points of a percentage difference
26:54 between like fifth and sixth place and
26:56 third and second place. And so, we got
26:59 them into the five finalists. And then
27:01 we all put our heads together and we
27:04 determined the winner. And it was
27:07 probably one of the toughest decisions
27:08 that the four of us have made this year.
27:10 Uh just because everything was so good.
27:12 If you go into the contests and
27:15 competitions, you can see all of the
27:16 submissions.
27:18 >> Uh but what we wanted to do here was
27:19 highlight the five finalists that we've
27:22 procured and voted on. And then the
27:24 winner will be announced live at
27:26 Festivus on Friday.
27:28 >> Yeah. And and what's nice about if you
27:31 go look at the submissions in the salon
27:33 in in the competitions space um some of
27:37 the people that submitted their their
27:39 submissions also told the story of like
27:41 how they created it and what they did
27:43 and things like that. So so really
27:45 really really good. So thanks for
27:46 putting this together Brandon. Um so the
27:50 first finalist these are in no
27:51 particular order uh was an image so you
27:53 could you could submit anything. Um and
27:57 uh this this image uh garnered the
28:00 attention of the editor of open AI open
28:03 eye. I can't say open without AI. Open
28:07 [laughter] eye an international magazine
28:09 that features photographers. Um and it
28:12 is it's just a gorgeous stunning
28:15 stunning photograph. So that's in the
28:18 finals. Um, I love photographs that that
28:22 tell a story. And you know, this one
28:24 tells seems like it's telling a lot of
28:26 stories. Um,
28:29 when I see images like that, like where
28:31 I want to go is like, you know, what is
28:32 the story of that woman? Like, you know,
28:35 I want to know it. And, you know, now
28:37 now with AI, we can we can take images
28:39 like that and bring them to life. Um,
28:42 Vicky Baptiste is in finals. her uh
28:45 custom GPT called the almost oracle um
28:49 is really really good. So if you go to
28:52 um to chat GPT to your um your where it
28:57 says GPTs on the left and say explore
29:01 GPTs and then search for the almost
29:04 oracle. Um we can hop in here. Little
29:06 old me, you made it. You made it. You're
29:10 gonna you're you're gonna be something
29:11 in this town. Um,
29:14 so, so basically it's it you you ask it
29:18 about something and then it basically
29:20 comes at you from a different angle. So
29:23 I'll say, um,
29:24 >> can can you ask it which tab you're
29:26 supposed to be sharing?
29:27 >> Oh, that's cute. That's cute. Do you see
29:30 that? Do you see that? What do What do I
29:32 do? do I do
29:35 if my producer
29:39 is passive aggressive
29:43 um but usually
29:46 right [laughter]
29:52 here's a practical playbook written as
29:54 if it's coming from your future self
29:57 um these moved helped in order separate
30:00 the correctness from the delivery
30:03 >> [laughter]
30:05 >> Force the feedback into a clean channel.
30:07 Preempt them. The quiet rule I wish I'd
30:09 known sooner. If someone is passive
30:12 aggressive and accurate, they usually
30:14 feel unheard. [laughter]
30:18 I do need a shot collar. Don't I
30:20 [laughter]
30:21 give Brandon a raise?
30:25 [gasps] So anyway, so this thing's
30:26 pretty cool. Um, you know, so go play
30:29 with the almost oracle. So that is um
30:33 our second second contestant or our
30:37 second submission that's in the finals.
30:40 [snorts] Um the uh the third one is a
30:43 song from Greg Selvin called Sidelong
30:46 Glance. Um there were a number of Sunno
30:49 songs and these songs were really
30:51 interesting. Um,
30:54 and it like what's fascinating about
30:59 Sunno songs is Sunno is so capable of
31:01 making good music, it's hard to know,
31:04 you know, what went into something and
31:07 and you know, where where the idea came
31:09 from and what it was, but this is one
31:10 that clearly had a a bunch of thought
31:12 put into it or or it was very well
31:15 curated and so it stood out. So, let's
31:17 go listen to this.
31:30 >> [music]
31:36 >> As days heat fades to warm
31:40 in the soft embrace of your eyes,
31:44 I find a twinkling grace
31:48 beyond Time beyond space.
31:53 Twilight [singing and music] chatter
31:57 on the cool breeze.
32:01 Peaceful rhythms
32:05 in the [singing] tall trees. [music]
32:10 Moon send misses
32:14 these days demise.
32:17 [music]
32:18 Your hand class mine
32:22 a passing knees.
32:26 A sidelong [music] glance.
32:29 My heart skips a beat.
32:33 [music]
32:34 Your beautiful face. [singing]
32:38 It's the curve [music] of your cheek.
32:42 The porch swing sways
32:46 to and fro.
32:49 [music]
32:50 Life's long [singing] journey.
32:54 The sharing flow.
32:57 [music]
32:58 Fortune's favor
33:01 gently [singing]
33:03 applied.
33:05 [music] Subtle reminder
33:10 of time gone by. [music]
33:14 Thousands of days
33:16 [singing]
33:17 of [music] conflict haze.
33:21 A noral life
33:26 melted [music and singing] away. All
33:28 right. So, I'm going to stop it there.
33:29 We'll play the whole thing tomorrow so
33:30 you get a sense of that. Very, very
33:32 cool.
33:34 Um,
33:36 the next finalist is Kelly Bosch. Um, if
33:40 you don't know Kelly Bosch's work, you
33:43 need to follow her. You should follow
33:45 her. Just head to Tik Tok and look up
33:47 Kelly Bosch. I think she's on YouTube as
33:49 well. [snorts] Um, I think she's on
33:51 Instagram.
34:03 Hang on. I know. I know. I know. Tabs,
34:05 tabs, tabs. [laughter]
34:08 Calm down. Calm down, everyone. All
34:10 right. Here's Kelly Bosch. I'll play
34:11 about half of this as well.
34:24 The day dissolves its heavy shape.
34:29 [music]
34:30 I let the logic fall away.
34:36 A sudden perfume in the cold.
34:41 A story that was never told.
34:46 I do not turn the other way.
34:52 I let the strange guest come and stay.
34:57 The armor slips off of the skin [music]
35:03 to let the fluid hour in.
35:08 Oh, [singing] the [music] surrender to
35:11 the tide. Nowhere left to run or hide. I
35:15 [singing] am theoreid,
35:21 [singing]
35:24 >> you know. One of the things that
35:29 that
35:31 I mean there's a there's a couple of
35:33 things about Kelly's work that
35:37 I find I find really remarkable. One is
35:40 just the consistency of it. She does
35:43 multiple videos a week.
35:46 Um they're almost [clears throat] always
35:48 good and interesting. She's gener she's
35:50 generating original songs for the most
35:52 part. Her early videos were using songs
35:54 from her. She's got a really good
35:56 knowledge of music. Um, now she's
35:58 generating her songs. She generates the
36:00 images, generates the the the clips,
36:03 puts them all together, and publishes
36:05 them out. Um,
36:07 this video is a really good example of
36:12 she's taking advantage of what AI does
36:15 really well, but she's doing it through
36:17 a very, very particular
36:20 creative point of view.
36:23 And [clears throat]
36:25 it's the reason her work stands out is
36:28 that even though she talks about what
36:29 tools she uses,
36:32 if you've ever tried to make a video
36:34 that's like a Kelly Bosch video, it's
36:36 really hard because she's got such a
36:39 clear creative point of view. And this
36:41 is one of the biggest things that I'm
36:45 excited about for Festivus and I'm
36:47 excited about for the AI salon community
36:49 is that it's full of people that
36:51 understand that their idea, their
36:54 values, their point of view is actually
36:57 the most important thing. Yes, you have
37:00 to learn the tools and what's possible.
37:02 But once you learn what's possible and
37:04 if you do what what Kelly's done is
37:06 focused her energy in this very narrow
37:08 she's like I'm gonna make these kind of
37:10 videos that have these aesthetics that I
37:12 like and these musics that I like and
37:14 the and tell the stories that I like and
37:17 she's just been like hammering that and
37:19 refining her voice and refining her
37:21 voice. So this to me is a really good
37:23 example of someone who's using the same
37:25 tools that we all use, but does it in a
37:28 way that I think even an AI hater, in
37:30 fact, I had one of the the husband of a
37:34 friend of my wife's who's an artist is
37:37 kind of this AI hater guy and he and I
37:40 have had some some tussles on it. And
37:43 the last time I saw him, he said, "Hey,
37:45 have you ever heard of this AI artist
37:46 named Kelly Bosch?" And I'm [laughter]
37:48 like, "Heard of her? Yeah, I'm a huge
37:50 fan of hers. Um, and he's like he's
37:53 like, "Yeah, this is there's something
37:54 different here. Like I could I could get
37:56 behind this." So, you know that but but
37:59 the reason for that is is she's just
38:01 very clear in who she is first and then
38:05 you know the work comes through that.
38:07 So, that's the fourth finalist. And then
38:09 the fifth finalist, go read the full
38:11 story on the AI salon is Mike Syler
38:14 Caler. Um a short story um whom is
38:17 writing whom? A fictional exploration of
38:19 the role of AR AI in our creative
38:22 process in assisting us to be our best
38:25 self. Um so so go check out his his
38:30 short story. What I like about this is
38:32 we've got an image, a song, a short
38:35 story, a video, um, and a and a custom
38:38 GPT. So, we've got five different kinds
38:42 of media that that rose to the top. And
38:45 I think, you know, to to an entry, they
38:48 all reflect the creator's personal point
38:51 of view in a in a very powerful way. So,
38:56 um, so that's that's Salon's Got Talent.
38:58 Are there any other things? Yeah. So, so
38:59 the winner is going to be announced at
39:00 Festivus. By the way, if you're new
39:02 here, if you just joined, um this Friday
39:04 and Saturday, December 26th and 27th is
39:08 AI Festivus. AI for the rest of us. If
39:12 you have not registered, go now. Go now
39:17 and register. And um sign up. And
39:21 [clears throat]
39:22 if you want to support us, there's
39:24 friends and family sponsorships. There's
39:25 a virtual trade show booth. You can pre-
39:27 buy um a deluxe replay bundle. There's
39:31 all sorts of ways you can support, but
39:33 this is free to anyone. So, if you're in
39:36 a situation where you're trying to
39:37 figure out what to do at work or for
39:40 work, um getting yourself educated about
39:42 AI is really smart. I got an email two
39:45 weeks ago from someone from this
39:47 community that said they just survived a
39:51 layoff that deleted her entire division
39:56 except her.
39:59 All of the people in her division are
40:02 gone, but they kept her. Why?
40:06 Because she knew AI. Because she was out
40:08 loud about it. She was talking about it.
40:10 Here's what I do. Here's what I'm
40:11 interested in. Here's what I'm curious
40:13 about.
40:14 So, this is this is not we're we're
40:17 we're exiting the fun and games era of
40:21 AI. It's starting to get serious. And
40:23 so, so AI Festivus is 12 hours on
40:26 Friday, 12 hours on Saturday of free
40:29 education with people that are just
40:31 doing remarkable stuff with AI. It'll be
40:33 inspiring. It'll be fun. Um, at at uh
40:38 noon Pacific on Friday, uh, I'm doing a
40:42 preview of the musical that I've been
40:44 working on for a year and a half called
40:46 Sydney and art artificial love story
40:49 about an AI chatbot that falls in love
40:52 with a tech reporter. So, we've got
40:53 actors coming in reading reading reading
40:56 the parts and then we'll hear the music
40:58 and uh, there there won't be a dry eye
41:00 in the house. U, shit's getting real.
41:03 Exactly. Side hustle. Side hustle Mimi,
41:05 by the way, not to humble brag or
41:08 anything. I think at this point she
41:09 should just brag brag. There's nothing
41:11 humble about it. Um,
41:14 no,
41:16 she she decided, I don't know, a month
41:18 or two ago, I think I'm going to learn
41:20 how to vibe code. [laughter]
41:23 She's not a coder.
41:25 I think I'm going to learn how to vibe
41:26 code. And she wanted to do some sort of
41:28 therapy app and then ran into some
41:30 regulatory things and then she said
41:32 like, "Okay, well, I'll deal with that."
41:33 But in the meantime, I still want to I
41:35 think I'd like to make an app, like an
41:37 app that you could sell on the app
41:39 store. And so she did it. And yesterday
41:44 we uh we got to see it. No, I'm not a
41:46 coner. I was an analyst. Only SQL code.
41:50 Um
41:51 I mean, what I can tell you about if she
41:53 was doing SQL code, she can she can
41:56 logically like [laughter] she can look
41:59 at what's going on and say, "No, I want
42:00 it to be like this. I want it to be like
42:02 that. I want it to be like that. That's
42:04 where we are with with creating things
42:07 now is that our job becomes
42:10 we we're the arbiter of taste basically.
42:13 And so the app that she created um is is
42:17 uh it celebrates her Puerto Rican
42:19 heritage and it's these it's a sticker
42:21 collection of Puerto Rican frogs
42:24 stickers. They're great. They're
42:26 awesome. Um it's 99 cents in the app
42:28 store. Wait, what's it called again?
42:29 It's super cute. It is super cute. I
42:31 forget the name of it.
42:35 [clears throat]
42:37 I want to get some people to go check it
42:38 out. Um, Koke Cuties. C O UI. Ki I think
42:45 K. Koke Cuties.
42:49 Um, and then yeah. Oh, here I can click
42:51 on it and show you the thing.
42:58 de
43:00 Coke Kitties. So, this is someone from
43:04 right here in our our wee little
43:05 community, our humble little community,
43:08 who decided she's going to go out there
43:10 and and make us something and put it in
43:12 the world and make the world a little
43:14 happier and celebrate her heritage.
43:18 Yeah. Like, yeah, that's that's flipping
43:21 cool. All right. Right. Amazing.
43:26 [clears throat] I'm releas I'm releasing
43:27 2.0. 0 to support iOS pre26. Great.
43:32 [laughter] She's she's already iterating
43:33 her app. She She's no longer an app
43:37 developer. She's now an apporter. She's
43:39 now [laughter] in customer support.
43:42 So, there's a whole new level of AI
43:44 she's going to have to learn. [laughter]
43:50 Oh, that's hilarious. That's really
43:52 good. Um, cool. Let's head over to
43:59 AI Festivus.
44:12 So, so here as we're going through here,
44:14 register. Um, if you haven't been here
44:17 yet, go register.
44:19 Um, jump straight to the daily schedule.
44:22 So, let's go check that out.
44:24 >> [clears throat]
44:25 >> All right. Fantastic. Opening remarks.
44:29 Opening remarks by Ann Murphy and Kyle
44:31 Shannon. We're going to be talking about
44:34 stuff. I think what we're mostly going
44:35 to be talking about is how excited we
44:37 are and how both of us haven't had
44:39 coffee yet. [laughter]
44:42 Talking about tabs. Oh, did I not? I
44:44 went to a new tab, did I? Um,
44:47 [clears throat]
44:48 let's see. a AI business AI powered
44:52 business transformation from strategy to
44:54 e execution. So we're going to start out
44:56 with AI transformation. So every one of
44:59 these um sessions there's an explanation
45:02 of what it is in there. Um and so you
45:06 can go check these things out. You know
45:08 this is one of those things festivist I
45:10 think what you'll find is like like any
45:13 good sort of conference like this you'll
45:14 look through the list and you're like oh
45:16 I'm interested in that interested in
45:17 that. What we found last year is that
45:19 people sort of came to the opening and
45:21 then they just kept watching and just
45:23 didn't stop. They just kept hanging out.
45:26 And so we had we had really good
45:28 attendance throughout the throughout the
45:30 uh the two days. And I'm I'm super
45:32 excited about that.
45:34 Um my fan club has completed the first
45:37 stage of the club quest.
45:38 Congratulations, Tik Tockers. You've
45:40 done something. [laughter]
45:42 I don't know what it is because I I
45:45 don't I to my detriment I don't pay
45:48 attention to uh Tik Tok's engagement
45:50 farming but you know what are you gonna
45:52 do um making things that don't exist um
45:56 Joy Perie and Ken Weissman is at 10:30
45:59 so award-winning filmmaker Joy Perie in
46:01 a live interview with composer oh so so
46:04 Joyy's got this beautiful award-winning
46:06 video um of these ballet dancers you
46:09 know dancing and it's kind of this smoke
46:11 and dancing kind of combo thing to this
46:14 original piece of music from composer
46:17 Ken Weisman. Um, and so they're going to
46:19 talk about putting that together. Um,
46:23 from vision to real AI agent automation.
46:26 So Rachel Zipsy uh and Abdullah Yaya are
46:29 going to talk about AI agents. And then
46:33 at uh 100 p.m. uh mountain noon Pacific.
46:39 Yes. Uh 3:00 p.m. Eastern Sydney and
46:44 Artificial Love Story musical preview
46:47 with Kyle Shannon, Andrew Watts, uh
46:49 Melissa Achilles, and Jack Frederick. So
46:51 Melissa and Jack are the actors. She's
46:54 playing Sydney, and he's playing Kellen
46:56 the reporter. And then Andrew and I are
46:58 going to talk about the origin story and
47:00 how we've spent the past two years
47:02 essentially working on this musical
47:05 which we're right now in the middle of
47:07 producing. We're we're shooting to do a
47:10 workshop uh this year and uh see if we
47:13 can't get this bad boy mounted in New
47:17 York City
47:20 um at 1:00 understanding intellectual
47:23 property laws for AI work. So Ann
47:25 McCracken uh is is an intellectual
47:28 property attorney. Um she was on the AI
47:32 readiness project podcast with Anne
47:34 Murphy and I this two weeks ago and she
47:37 said she had done her homework. Her her
47:40 presentation was completed and then
47:43 everybody changed their laws or their
47:46 rules around trademark and copyright and
47:49 things like that. So she she has had to
47:51 update. So this is up tothem minutee.
47:54 Um, property law, intellectual property
47:57 law. Um,
48:00 I'll use AI to focus on gene editing to
48:03 solve genetic disorders. We have power.
48:05 We do. Who is that? Uh, Nando. I can't
48:09 see your last name. Yeah, it it's on a
48:11 bad background here. Um,
48:14 I talked I talked the other day. There's
48:16 a high school in Georgia that just used
48:18 crisper gene editing uh to find a a
48:21 diagnosis tool for Lyme disease. that's
48:24 effective within two days of a bite. The
48:26 current technology is only effective two
48:29 weeks after you've had the bite, which
48:31 you know can sometimes mean that the the
48:33 spyroet can migrate into your um other
48:37 parts of your body. Um which is what my
48:40 sons are dealing with. um and they're
48:42 they're high school students and they've
48:44 they've got a a novel um mechanism for
48:47 detecting it based on crisper technology
48:51 and then they think that can also turn
48:53 into um a treatment uh as well using the
48:57 same technology.
48:58 Um yes, the high school gave hope and
49:01 showed censorship. Wait, uh let's see. I
49:04 was not told
49:07 wait told the tolls by the AI in the
49:10 past. Now it does. Yeah. We're like
49:13 we're [clears throat]
49:16 So, so what I would say is this. Right
49:18 now, the state of AI
49:21 still requires you to be fairly high
49:24 level in terms of your understanding of
49:26 science. Um, as these tools get more and
49:29 more and more powerful, that barrier to
49:32 entry is going to drop and drop and drop
49:34 and drop. Right? It went from you had to
49:36 be a PhD facility to now it's dropped to
49:39 high school. But it's a pretty elite
49:40 high school group with pretty elite
49:42 technology. But that's just going to
49:44 keep coming down, coming down, coming
49:46 down. And again, what this comes down to
49:49 is the thing I'm just going to keep
49:50 hammering home. One of the things that
49:53 we talk about in the AI salon, um, we've
49:55 created this framework for a daily
49:57 practice around AI, centered around AI,
50:00 how you use AI, and at the center of the
50:03 practice is you, right? This is not
50:06 about which tool should I use.
50:10 To a great degree, the tools are strong
50:12 enough at this point that it honest it
50:15 honestly doesn't matter.
50:18 Right? if you want to do a particular
50:20 kind of video like like I got an I got
50:22 an opportunity today to participate in a
50:24 video project and someone sent me the
50:28 script and the script is like you know
50:30 football players from these specific
50:33 teams with these specific football
50:35 players and I'm like okay well you can't
50:38 you can't do brands and specific people
50:41 with certain AI models so you kind of
50:43 need to know some stuff there might be
50:46 other tools we can news. I also have a
50:48 big question about intellectual property
50:50 there and how that's going to be used.
50:52 And I'm not I'm not going on the hook um
50:55 for someone else's intellectual property
50:58 laziness. [laughter] So So there going
51:01 to be some indemnification or I ain't
51:02 doing [ __ ] [laughter]
51:07 Um but you can just do stuff now. and
51:10 and but but
51:12 it's about you
51:15 saying here's the kind of thing I want
51:17 to do. Here's the kind of work I want to
51:18 do. If what you want to do is work on um
51:23 curing diseases and making people's
51:25 lives less miserable from a health care
51:27 perspective, [ __ ] far out. Like yes,
51:31 go do that. um at uh 1:40 PST, Feats of
51:36 Strength with Rick McCaulay and and
51:38 Marlene Paul. Um that should be a fun
51:41 one.
51:42 Um we're going to take uh we're going to
51:44 steal one of the breaks uh tomorrow at
51:47 2:20 Pacific time and AI Salons's Got
51:50 Talent has been slid in there. So, so
51:54 thanks to the uh the organizing team for
51:56 for accommodating that. And uh we're
51:59 going to present the winner of Salon's
52:01 Got Talent. Um at 2:30, we've got
52:04 Authentic Storytelling in the Age of AI
52:06 with Erica Hana. She is I'm pretty sure
52:09 she's an Emmy award-winning um TV
52:11 producer and just badass, you know,
52:14 creative human being. uh is going to
52:17 talk about how do you do how do you do
52:20 authentic storytelling
52:22 in the age of AI right all of the haters
52:26 if you listen to the haters you know AI
52:28 can't be creative it can't be a
52:30 authentic by definition it can't
52:34 well that's not true [laughter] like
52:36 like we we have seen in this channel on
52:39 on you know numerous occasions it can
52:43 but it's all about how you use it and
52:44 it's all about how you craft, you know,
52:48 the chain of craft. What are the
52:49 elements you're putting together to
52:51 leverage AI to tell a story? So, you can
52:53 absolutely do authentic storytelling.
52:55 She's going to be talking about that.
52:57 Um, at 3:10, the hidden AI gap, why
52:59 owner operated businesses are being left
53:02 behind and how we fix it. That's
53:04 fascinating. Uh we're going to then have
53:06 a big break and then at 4 o'clock
53:08 Pacific, Feats of Strength with Kelly
53:10 Camp and Shannon Siver uh are going to
53:13 be sharing some stuff, some more Feats
53:15 of Strength. I love our Feats of
53:16 Strength. They're just little little
53:17 vignettes. Let's see what these guys are
53:19 sharing. They're going to be sharing
53:21 beyond prompts and demos. Why being AI
53:24 native what what being AI native really
53:27 means. Being AI AI native isn't about
53:29 the tools. It's about how you think once
53:32 AI is always available.
53:35 Yeah. Yeah. Kelly Camp's in here
53:37 tonight. Give her some props. Like I
53:39 don't How How do you give people props
53:41 in Tik Tok? You like poke them. Do you
53:45 poke people on the Tik Tok? [laughter]
53:49 Poke poke Kelly
53:52 appropriately.
53:54 Appropriately
53:55 people. Good lord. Um Okay. Um,
54:01 uh, Kandi Gangora, the human side of AI
54:04 leadership. Again, some of the themes
54:06 that you're starting to see in these in
54:08 these sessions. This is about people,
54:10 right? From chaos to clarity, a smarter
54:13 way to use AI is at 5:30. At 610,
54:17 reimagining cinema, how AI is opening
54:20 new worlds um for underrepresented
54:22 creators. That's Kimberly Offford, and
54:24 she's going to be um showing some films
54:26 from a film festival she just had. And I
54:28 think she's even bringing some of the
54:30 filmmakers to talk about what they're
54:32 doing. Um, at 7 o'clock, Feats of
54:35 Strength with Chris uh Houston and Leah
54:38 Fasten. They're going to be showing some
54:40 work. What are they going to be talking
54:41 about? Um, make AI a piece of cake.
54:45 [laughter] In this demo, we'll whip up
54:47 some tasty context layers that shapes AI
54:50 behavior. Cool. Beautiful. So, if if
54:54 you're wondering where I am right now,
54:55 if you've if you're just coming in, I'm
54:57 looking at what what's called in the
54:59 business the run of show. So, here's the
55:02 schedule for AI Festivus that starts on
55:04 Friday at 9:00 a.m. Pacific, goes for 12
55:07 hours on Friday, and then starts again
55:09 on Saturday at 9:00 a.m. Pacific, and
55:11 goes for another 12 hours. So, it's 24
55:14 hours of programming over two days for
55:16 free. So, if you go to aifestivist.com,
55:20 check out all the goodies, check out the
55:22 sponsorship packages, check out the the
55:25 replay bundle. There's we have deals on
55:28 uh some of the uh some of the offerings
55:30 from both she leads AI and the AI salon.
55:32 So, go check all that stuff out. That's
55:34 where we are right now. Um at 7:40,
55:37 Squirrel Shiny Object organize your your
55:40 curiosity with Cindy [ __ ] Cindy [ __ ] is
55:44 an absolute just badass futurist, but
55:47 she's also a card carrying member of the
55:49 ADHD club, but she's also really good at
55:52 like organizing her work. So, she's
55:55 going to teach us some things about how
55:58 to how to not be so chaotic in this
56:02 world that invites chaos.
56:06 [laughter]
56:08 And then um uh beyond the hour, building
56:11 your business uh for the AI driven
56:13 future with Danielle Lafleur and then uh
56:16 Ann and I will close it up at 8 8:40. So
56:19 that's the first day. Um
56:23 so like that's just one day like all
56:25 that stuff and like and it is
56:27 purposefully
56:29 diverse and and and things are scattered
56:32 all over the place because one of the
56:34 things that we talk about let me let me
56:36 actually flip out. We'll come back to
56:37 this.
56:39 Um,
56:41 you know, one of the things that we talk
56:43 about in the AI salon, we call it the
56:45 the cycle of AI readiness is play first
56:49 and then create excellence and then
56:51 generously lead. And
56:54 one of the things that happens when you
56:56 play with AI
56:59 is that you get a chance to unlock
57:03 what you think you should use AI for,
57:07 right? If if you're just focused on a
57:10 particular kind of work and then you
57:11 say, "Okay, I got to learn this AI.
57:13 Okay, I'm going to learn how to use AI
57:15 to do the thing I know how to do better
57:17 or faster or more efficient."
57:20 It can absolutely do that. But what that
57:24 robs you of because you've got you've
57:26 got expectations tied to that, right? If
57:28 you're a project manager and you're
57:30 like, "Okay, I'm going to use AI for
57:31 project management efficiency."
57:35 You you're you're putting it in a very
57:37 narrow canyon, right? And then you're
57:39 just going to judge it against what you
57:41 know and how you know it, which is good
57:42 because that's what you know.
57:45 What it robs you of is there are things
57:49 now possible for you and your skills
57:53 that might lie significantly beyond that
57:56 that thing that you think you need to
57:58 use AI for. And so by playing and
58:02 exposing yourself to different points of
58:04 view, you actually discover, oh, it can
58:07 do that. I really like that. I used to
58:09 do that when I was a kid. I should do
58:10 more of that. Oh, it can do that. I've
58:12 never been good at that. I always told
58:14 myself I was I was not a technologist,
58:16 but now I can code. You you start to
58:19 discover things that are way beyond your
58:21 boundaries. Um
58:23 and and the design of the run of show is
58:28 to purposefully kind of [laughter]
58:30 bounce you from from mode to we go from
58:33 business to a musical to intellectual
58:36 property to how to run a business to how
58:38 to make pretty images.
58:41 Because what's going to happen is at
58:42 some point you're going to go, "Oh,
58:43 that's me." And then you're going to see
58:44 something you're like, "Well, that's not
58:46 me." But like, "Oh, that's cool. Wait, I
58:48 could do that right now.
58:50 Yeah, you could." And then you'll go try
58:53 that and you'll go play that and you can
58:55 share the things you're creating on the
58:57 AI salon with other people in the
58:58 community. It's one of the reasons that
59:01 we talk so much about community.
59:05 So, I learned in the in the very early
59:07 days of the worldwide web, I started a
59:09 group called the Worldwide Web Artist
59:11 Consortium in New York City. And it was
59:14 actually a shameless attempt to surround
59:18 myself with people that knew more than I
59:20 did about whatever this new thing was
59:22 called the worldwide web.
59:25 And I knew a little bit about it,
59:29 but I knew I knew that there was someone
59:34 out there that knew about it and and I
59:37 could learn from them. And so we had our
59:39 first meeting and 10 people showed up
59:42 and we went went around and everyone
59:44 introduced themselves. And so these were
59:46 people that were interested enough in
59:48 whatever the worldwide web was to show
59:50 up to a meeting. like got off their
59:53 asses and they went to a it was actually
59:55 an acting rehearsal studio [laughter]
1:00:00 and we sat in this rehearsal studio and
1:00:04 we went around and what I learned was
1:00:06 not a single person at the table thought
1:00:09 that that they knew what they were
1:00:12 doing. Everyone felt clueless.
1:00:15 Everyone felt unprepared. And as that
1:00:17 group grew from 10 people to 20 to a 100
1:00:20 to 2,000
1:00:23 um we would hold by bimonthly meetings
1:00:26 in the Sony headquarters uh in Midtown
1:00:29 Manhattan. They they Sony gave us uh
1:00:33 this was unbelievable. They had a
1:00:35 conference room that sat 300 people and
1:00:40 so we would fill that conference room up
1:00:42 twice a month um talking about the web
1:00:44 stuff and for two or three or four years
1:00:48 nobody knew what they were doing.
1:00:50 Everyone was trying to figure it out and
1:00:51 that's exactly where we are with AI. So
1:00:53 the reason to get in community is
1:00:56 because everybody's got a teeny tiny
1:00:59 little piece of the puzzle
1:01:01 and and the teeny tiny little piece that
1:01:03 you have
1:01:05 that you think is insignificant
1:01:08 will actually be a revelation for
1:01:11 someone else. They'll be like, "Oh, I
1:01:13 never thought of it like that."
1:01:16 So the reason we talk about that cycle
1:01:18 of AI readiness, play first, create
1:01:21 excellence, right? Do good work. Don't
1:01:23 just do work. Don't just slop it out up
1:01:26 and just squirt out [ __ ] Do excellent
1:01:28 work. And then the third component of
1:01:30 that cycle is generously lead.
1:01:34 And what that's about is take that
1:01:35 little nugget of whatever you learned
1:01:37 and share that with the community
1:01:40 because it'll be a breakthrough for
1:01:41 someone else. And then someone else will
1:01:43 share something that'll be a
1:01:44 breakthrough for you.
1:01:46 And then in doing that, you'll get
1:01:48 comfortable about being in a leadership
1:01:50 position, a natural leadership position,
1:01:53 right? Vicky Baptiste is a really good
1:01:56 example of someone who's very very um
1:01:59 you know, shy and didn't didn't speak up
1:02:01 much when we first started. And man,
1:02:03 she's like blasting it out there on
1:02:05 social media now. She's you know,
1:02:08 hosting events. She's just kicking ass.
1:02:10 and and
1:02:13 that that level of of being in the world
1:02:16 with this stuff is is really remarkable
1:02:20 and it's it's serving it's serving you
1:02:23 know people in the community quite well.
1:02:25 I know but it's it's true Vicki like
1:02:28 [laughter] you really you really went
1:02:30 from like no I don't want to be on
1:02:31 camera and like you just you're just
1:02:32 kicking butt now. You're you're you're
1:02:34 just, you know, I would argue at this
1:02:37 point you're you're better at the social
1:02:38 media [ __ ] than I am. I'm so
1:02:41 inconsistent with it. I I'm consistent
1:02:44 with this, but you know, the actual put
1:02:46 [ __ ] out on the multiple channels. That
1:02:48 thing I I ain't good. It's a uh that's a
1:02:52 2026 uh re resolution.
1:02:56 Um yeah, it's very cool. All right, so
1:02:59 let's go look at day two.
1:03:02 H
1:03:04 beautiful, beautiful, beautiful.
1:03:08 Um,
1:03:10 what did I do?
1:03:12 What did I do?
1:03:22 Is
1:03:25 what was Oh, I see what I did.
1:03:35 cancel.
1:03:37 There we go. [sighs]
1:03:39 The attack of the black bar. Yeah,
1:03:41 apparently I just went to buy a uh a
1:03:43 black rectangle from a a stock
1:03:45 photography site. [laughter]
1:03:49 Okay. Um day two opening remarks. Ann
1:03:52 Murphy and I I know what we're going to
1:03:54 say on day two is we're going to open up
1:03:57 day two with holy crap, could you
1:03:59 believe day one [laughter]
1:04:04 because we'll have all sorts of comments
1:04:06 and people will be, you know, spreading
1:04:08 the love and and talking about their
1:04:09 favorite speakers of the day. Um so so
1:04:12 we start out with that. Um at 9:30 um
1:04:16 Louisa Bal and uh Ulina Lacy what 500
1:04:20 plus students across 14 countries tell
1:04:24 us about AI and higher education uh with
1:04:26 also Cassandra Silva Silen uh Sillan
1:04:32 Sibilan
1:04:34 sorry names [laughter]
1:04:37 um at 10:30 raising kids in an AI world
1:04:40 with look at that producer Brandon. Hey
1:04:42 Brandon, you want to hop up and talk
1:04:43 about your your session?
1:04:48 >> Yeah. So, uh, you know, AI is everywhere
1:04:50 and you know the those of you who follow
1:04:52 my journey in the AI salon know that my
1:04:54 son produces music with Sunno and I've
1:04:56 written a couple of children's books and
1:04:59 uh beyond that, we also want to talk
1:05:02 about the impact that is having on
1:05:03 education and parenting in general. Uh
1:05:07 Jimmy Fallon had Sam Alman on and he
1:05:09 he's a new father and he says I don't
1:05:11 know how I did this how anybody did this
1:05:13 without AI and chat GPT and so uh it's
1:05:17 going to be a little bit of that and
1:05:18 I've got a couple of great co-henters
1:05:21 and we're just going to do it uh
1:05:22 panelist style and really looking
1:05:24 forward to being um back from behind the
1:05:27 uh microphone and and on stage.
1:05:29 >> Nice. Beautiful. Thank you. That's
1:05:31 exciting. Yeah, Brandon does really cool
1:05:33 stuff. It's, you know, one of one of the
1:05:35 nice things Brandon does is there's no
1:05:39 because of his relationship with
1:05:42 technology being, you know, he's he's
1:05:45 very integrated with it. Um,
1:05:49 when his kids have ideas, he just like
1:05:51 helps them bring those ideas to life
1:05:54 using AI. So his kids are the first
1:05:57 generation
1:05:59 that their entire lives
1:06:04 they're they're going to understand that
1:06:08 they live in a world where they can have
1:06:10 an idea,
1:06:12 speak it out loud, and manifest it,
1:06:16 right? Do you remember the secret from
1:06:17 the 90s, the the the movie The Secret?
1:06:20 And they're like, you know, if you if
1:06:22 you speak it, you'll manifest it. which
1:06:23 you know there's something to that. This
1:06:26 AI stuff is the literal technological
1:06:30 manifestation of that same idea, right?
1:06:33 We figured out a way to encode to embed
1:06:37 all of the knowledge of humanity or like
1:06:39 some large percentage of it or some
1:06:40 small percentage of it but some amount
1:06:43 of it into this magical
1:06:47 softballsized canister that you can just
1:06:50 talk into and out comes words, out comes
1:06:53 pictures, out comes music.
1:06:56 So his kids are going to live in a world
1:06:58 where they just get to speak things into
1:07:00 existence. And that's not going to be
1:07:02 weird.
1:07:04 Like for us,
1:07:07 it's still weird.
1:07:10 I mean, even if you've been in here
1:07:13 every day for three years, like a a lot
1:07:15 of the irregulars, a lot of people that
1:07:17 hang out in here,
1:07:19 they've been experiencing this for a
1:07:21 while, it still blows me away that that
1:07:24 I can just
1:07:28 I think back to when I learned Photoshop
1:07:30 and I learned layering and and like if
1:07:32 you had text over a clouded background
1:07:35 or like a modeled background and you had
1:07:37 to change a letter, you had to like go
1:07:39 in and like rubber stamp little shapes
1:07:42 around a letter and you'd put the letter
1:07:44 in there. It was it just it was painful.
1:07:46 And now you can just go give me a whole
1:07:49 scene of 20 penguins ice skating in
1:07:52 Rockefeller's Center and just [laughter]
1:07:56 there it is
1:07:58 like that is here like that. It's
1:08:02 remarkable
1:08:04 to me still is because I know what the
1:08:07 world was like before that existed. And
1:08:10 it [ __ ] sucked. If you wanted to make
1:08:13 something, you had to [ __ ] know how
1:08:16 to make something,
1:08:18 right? And that's what the creative
1:08:20 community right now, that's one of the
1:08:21 things they're bitching about and that
1:08:23 they're afraid about is like, "But
1:08:26 that's where all the value is." Well,
1:08:28 that's where all the value was.
1:08:32 This is this is not still creating
1:08:35 stuff. It's just creating stuff in a
1:08:37 different way. And it's creating stuff
1:08:39 in a more instant way. And so what that
1:08:42 gives creative professionals the
1:08:44 opportunity to do is rather than taking
1:08:46 a week to explore one idea, they can
1:08:49 take a day to explore 10 ideas. It's
1:08:52 just a completely different modality.
1:08:56 Anyway, um, after raising kids at 11:20,
1:08:59 the lead magnet lab build your first AI
1:09:02 powered freebie with uh, Sakina Rasheed
1:09:06 and Ann Murphy. Very cool. Then we take
1:09:08 a break. You you are allowed to to use
1:09:11 the bathroom at AI Festivus. We're we're
1:09:14 not rigid. You can get up. We do not
1:09:16 have shock collars other than for me.
1:09:18 1220.
1:09:20 Yes. And AI with Corey and Kanty. Let's
1:09:24 read about that one.
1:09:26 What if working with AI felt like a
1:09:29 creative jam session through a tech uh
1:09:31 more more like a creative jam session
1:09:33 than a tech tutorial? In this fast-paced
1:09:36 beginnerfriendly session, hear it. Hear
1:09:39 it here first. Sonia, if you're still
1:09:42 here, beginner friendly session marked
1:09:45 down 12:20 Pacific on Saturday. Um,
1:09:50 you'll use play and improv to explore
1:09:53 how human skills like curiosity,
1:09:55 listening, spontaneity can unlock
1:09:57 smarter, more effective things. I'm
1:09:58 telling you what, I I wrote an article
1:10:00 about two years ago called Rise of the
1:10:02 Agile Human. And what it talks about is
1:10:05 that the things that we value in today's
1:10:07 world that someone's got skills. They
1:10:10 can do Photoshop. They can do they know
1:10:12 how to write. They know how to
1:10:14 [clears throat] do design annual
1:10:15 reports. Whatever it is, those skills,
1:10:18 we value people on their skills.
1:10:21 There's a whole other whole other side
1:10:23 of being a professional, which is this
1:10:26 attribute side. And attributes like
1:10:29 being curious and being adaptable and
1:10:31 being um engaged and and having a
1:10:34 creative point of view are increasingly
1:10:37 going to be valued in the workplace as
1:10:40 the skills part of the job get automated
1:10:43 and democratized. So anyone will be able
1:10:46 to do any skill. Who rises to the top?
1:10:49 Well, those people that are curious and
1:10:51 playful and have spontaneity and can
1:10:53 listen and have good empathy skills and
1:10:55 things like that. So that's going to be
1:10:57 a great session. Yes. And um Okay. At
1:11:02 1:00, uh tap in trivia, tech, and
1:11:04 treats. Good. We have a we have a trivia
1:11:07 section. That's awesome. Awesome. at
1:11:10 120. We're living in the sci-fi timeline
1:11:12 with Beth Lions and Juni Hatcher. That
1:11:15 one's going to be great. What they're
1:11:16 basically talking about is like sci-fi.
1:11:20 We're We're kind of living in a sci-fi
1:11:22 documentary now. So, they're going to be
1:11:25 talking about that. Ah, 210 tomorrow, AI
1:11:28 Festivus, the airing of grievances. So,
1:11:31 this is Daisy Thomas and Kathy Orana. um
1:11:35 and uh they're going to be talking about
1:11:37 AI advocacy and a policy town hall. So
1:11:41 part of generous leadership is
1:11:44 you know understanding and fighting for
1:11:47 rights that you know not only do we want
1:11:51 legislation that protects us from the
1:11:53 risks of AI. I think everybody is well
1:11:55 aware that there are risks. It's all
1:11:57 anyone talks about for the most part.
1:12:00 What we're also saying is there are some
1:12:02 real remarkable um opportunities that AI
1:12:07 presents to individuals and to small
1:12:08 businesses and and founders and
1:12:10 entrepreneurs. We want to protect that
1:12:13 access as well. And so it's about
1:12:15 balancing both of those. And so that's
1:12:17 going to be a really powerful session.
1:12:19 At 250 the AI portal for interchain
1:12:22 interchange
1:12:24 uh should be great. Um at 3:50 on
1:12:27 Saturday, AI Film Festivus uh with Chris
1:12:30 Voluone and Kelly Bosch. So we're going
1:12:32 to see some films from them. Um Feats of
1:12:35 Strength with Chef Kelly. Uh and Erica
1:12:37 Lamont is at 4:30. At 5:20, how I work
1:12:42 like a team of 10 with AI Jim Ross. Uh
1:12:46 I'm going to be interviewing Jim um
1:12:49 about the things he's done which are
1:12:53 remarkable. He's the thing I like about
1:12:55 Jim. I mean, one, he's just a super nice
1:12:57 guy.
1:13:00 He is in a business that is the
1:13:04 I if if you were to describe a business
1:13:07 that you would say it's the last kind of
1:13:09 business that would adopt AI.
1:13:12 It's the self-s storage business. When I
1:13:15 think of self storage, I think of like
1:13:18 um you know storage wars like like all
1:13:20 those Yahoos, you know, bidding on
1:13:22 [laughter]
1:13:23 on on lockers, selling their crap and
1:13:26 getting in fights. It it it is it is a
1:13:29 kind of business that is just you don't
1:13:32 need AI for it, right? But what Jim did
1:13:35 was he said, 'Well, I'm an entrepreneur
1:13:37 and I've got these needs and I've got
1:13:38 needs for things like marketing and
1:13:41 communications and writing emails and
1:13:43 creating contracts and understanding
1:13:44 contracts and doing financial
1:13:46 projections and all of the things you do
1:13:49 in running a business. And so what Jim
1:13:52 said was rather than saying, "How do I
1:13:55 apply AI to storage?" He said, "Well,
1:13:58 what am I trying to accomplish in my
1:14:00 business?" And then I'm gonna do things
1:14:02 like go hang out at the AI learning lab
1:14:04 and I'm gonna learn what's possible with
1:14:06 AI. There's this weird guy Kyle that
1:14:08 talks about this stuff all the time. And
1:14:11 what Jim did was in that play first kind
1:14:14 of idea of AI readiness. I would show
1:14:17 how to do something on this channel and
1:14:19 Jim would just go, "Huh, okay. I see how
1:14:22 to do that. How would I do that for
1:14:25 some problems that he's having in his
1:14:27 business?" And then he would have a
1:14:29 breakthrough. then he would have a
1:14:30 breakthrough. And now he's recognized as
1:14:32 as one of the leaders in his industry.
1:14:34 He he regularly gets asked to keynote um
1:14:38 and and kind of lead the charge with um
1:14:42 soloreneurs that have these businesses
1:14:45 amplifying their operations. So that's
1:14:47 going to be a powerful one. Um six
1:14:49 o'clock, not me, but not not me. Um Liz
1:14:51 Miller Gersfeld is going to be talking
1:14:53 about um creating the daily practice.
1:14:56 So, so Liz is the co-host of the AI
1:14:58 Salon and um she and I and Andy
1:15:02 Scarantino
1:15:04 um put together this framework for um
1:15:07 the AI mastermind practice
1:15:10 um or the AI salon mastermind practice
1:15:13 um and she she co-hosts with me on
1:15:16 Thursdays at noon uh for the practice
1:15:19 lab where people that are building and
1:15:21 designing their daily AI practice get
1:15:23 together and talk about it. um really
1:15:25 powerful. So that that'll be a great
1:15:27 one. Um at 650 we've got Logan
1:15:30 Kilpatrick. If you don't know Log Logan
1:15:32 Kilpatrick, he's a group product manager
1:15:35 at Google DeepMind. He's working on the
1:15:38 AI um AI studio for Google Labs uh for
1:15:41 for Google DeepMind. AI
1:15:43 studio.google.com and the Gemini API. Um
1:15:48 really smart guy. We're really lucky to
1:15:50 have him. So, that's exciting that that
1:15:52 we're going to have Logan talking about
1:15:55 what Google's up to with um with Gemini
1:15:59 and how they've kind of taken the uh I I
1:16:02 feel like Gemini and Google has taken
1:16:04 the lead back from OpenAI. So, that
1:16:06 that's an exciting one. Um at 7:40, um
1:16:11 Think Like Yourself using AI to excavate
1:16:13 your cognitive signature with Vanessa
1:16:15 Chang. So, if you don't know Vanessa, if
1:16:17 if you go to the Tik Tok channel Think
1:16:19 with V, um that's Vanessa Chang. She's
1:16:22 remarkable. She's an amazingly nice
1:16:24 person, an amazingly smart person. Um
1:16:27 and she's going to she's going to close
1:16:29 that out and then Ann and I will wrap it
1:16:31 up and I think we're going to have an
1:16:34 afterparty, an official afterparty. So,
1:16:37 Sidehustle Mimi, the mastermind practice
1:16:39 is amazing. It requires heavy lifting on
1:16:42 the personal side, not AI. I'm telling
1:16:44 you, man, that the the the the practice
1:16:48 lab for me, I I have confronted more of
1:16:51 my own personal [ __ ]
1:16:54 in the past five weeks because of being
1:16:57 part of the practice lab where it's like
1:16:59 what we're what we're learning in the
1:17:01 practice lab. So, if if you want to know
1:17:03 more about it, if you go to the um
1:17:05 community.thesalon.ai
1:17:07 I and go to there's a tab down in in
1:17:10 learn and grow called the mastermind
1:17:12 practice lab. Click on that and you can
1:17:15 you can see the framework for for
1:17:18 designing your your daily practice.
1:17:20 That's what that framework is what we're
1:17:22 using um for the practice lab. Um
1:17:27 it is really remarkable to to be
1:17:31 intentional
1:17:33 about how you use AI. And by intentional
1:17:36 like really look at who are you? What do
1:17:39 you want? What are your values?
1:17:43 Who do you value in the world and how do
1:17:45 you want to affect them? How do you want
1:17:47 to impact them? How do you want to
1:17:49 transform them? Is it a small group? Is
1:17:51 it a medium group? Is it a family? Is it
1:17:53 a community? Is it a state? Is it the
1:17:56 world?
1:17:58 Right? We all get to choose what stage
1:18:00 we want to play on. and you can choose
1:18:03 not to play on a stage, right? One of
1:18:06 the things that that we're seeing in the
1:18:07 practice lab, which [clears throat] is
1:18:09 really exciting,
1:18:11 I heard this from Kevin Clark. He said
1:18:13 that
1:18:14 when he started thinking about a daily
1:18:16 practice with AI,
1:18:19 what he realized was he was losing touch
1:18:22 with
1:18:24 writing with a pen and a and a notebook.
1:18:28 So, one of the things that he added back
1:18:31 into his daily practice was every
1:18:33 morning he writes for an hour
1:18:36 like like pen and paper
1:18:40 like like like this
1:18:44 right because he was realizing that he
1:18:46 was losing that that facility
1:18:51 and what he found is that it's improving
1:18:54 his AI. Cindy [ __ ] did the same thing,
1:18:56 but instead of writing, she realized it
1:18:58 was watercolors and doodling and making
1:19:01 little illustrations that she loved. And
1:19:04 she has a whole studio on she lives on a
1:19:06 farm up in the mountains. And and she
1:19:10 realized
1:19:11 that she wasn't doing that. And so in
1:19:14 her daily practice, like a big part of
1:19:16 her daily practice now is watercolors.
1:19:20 What for AI? Yeah.
1:19:24 Because that feeds her, that nurtures
1:19:26 her. That gives her ideas about, huh?
1:19:29 Well, if I could do that, what if I did
1:19:31 this? And then if I used AI, I could do
1:19:33 that.
1:19:36 She pushed past something which I
1:19:38 thought was was really, really powerful.
1:19:42 She um
1:19:45 [laughter] I'm like I'm like a crack
1:19:47 dealer.
1:19:49 She goes, she goes, "I've got this style
1:19:52 like this doodle style and this and this
1:19:55 watercolor style and I, you know, and I
1:19:58 and I love it and I I've got all this
1:20:00 thing." And I said, "Well,
1:20:02 what if you made a midjourney mood board
1:20:06 of your style and then you could just
1:20:08 describe to midjourney what you wanted
1:20:10 and it could, you know, come up with
1:20:12 lots and lots of ideas for you. And her
1:20:14 initial response to that was like e like
1:20:16 you know stay away AI crack dealer.
1:20:20 [laughter]
1:20:23 And then she goes she goes she pushed
1:20:26 her way through it. Like there there was
1:20:28 some resistance there. Like one of the
1:20:30 things that we're finding in the in the
1:20:31 daily practice
1:20:33 is that wherever you've got a complaint
1:20:35 that shows up there's usually some gold
1:20:38 underneath that, right? there's nor
1:20:40 there's usually something that you're
1:20:41 avoiding or you haven't given yourself
1:20:43 permission to do. And so she kind of
1:20:46 gave herself permission to go figure out
1:20:48 what it was to make a midjourney mood
1:20:50 board.
1:20:52 And and so she started playing with
1:20:54 these things and it started making
1:20:56 images that looked like her images. And
1:20:59 rather than kind of shut her down or
1:21:02 uninspire her, it gave her new ideas for
1:21:05 things she wanted to go make by hand,
1:21:08 right? and it, you know, it it it
1:21:11 sparked her imagination rather than
1:21:13 shutting it down. So anyway,
1:21:15 so that's two days of Festivus. It's a
1:21:18 lot. It's a lot
1:21:21 and you should be there for the whole
1:21:22 two days. You really should. You really
1:21:25 should.
1:21:26 All right.
1:21:28 Um, Kavuno, AI has inspired me to do
1:21:32 analog, too. Not just digital. Not just
1:21:34 digital more. Yeah. Listen, again, I I
1:21:38 think
1:21:43 the more I learn about AI,
1:21:46 the more I integrate
1:21:48 what it makes possible.
1:22:02 I hesitate to talk about this stuff
1:22:04 sometimes because it sounds [ __ ]
1:22:07 weird.
1:22:09 Um,
1:22:13 there's a lot of talk about, you know,
1:22:15 is the AI going to kill us? Are the
1:22:17 robots going to kill us? Right? There's
1:22:19 there's a lot of talk about the the
1:22:20 doomerism, the the the the
1:22:24 danger side of AI gone rogue, right?
1:22:28 If you look at the the Whimo cars that
1:22:30 just stopped and turned on their flasher
1:22:31 lights, I don't think the robots are out
1:22:33 to get us. I think they're just trying
1:22:34 to figure out this world of ours.
1:22:37 [laughter]
1:22:38 But let's, you know, but there's there's
1:22:40 there's a possibility, right? There's a
1:22:42 possibility that these things go dark
1:22:44 and go rogue and they're a danger to us.
1:22:46 What I don't hear many people talking
1:22:48 about is the other side. I think there's
1:22:50 as likely a future as that really dark
1:22:53 future
1:22:55 is a future where the AI frees us
1:23:01 to be who we are to do what we want.
1:23:08 Like the the the the
1:23:11 concern and panic over losing jobs is
1:23:15 justified and real. I think the
1:23:18 automation of the tasks that make up the
1:23:20 bulk of our work today is coming and it
1:23:23 is going to be disruptive.
1:23:26 I think what we're going to realize is
1:23:28 that a lot of those jobs were shitty
1:23:31 jobs,
1:23:33 they're shitty, repetitive,
1:23:35 soulcrushing,
1:23:37 dealing with the complexity of a world
1:23:39 that's evolved over the past 150 years
1:23:42 of industrial revolution and just
1:23:45 capitalism run a muck and citizens
1:23:48 united making corporations people. It's
1:23:51 just everything is so [ __ ]
1:23:53 complicated and overly engineered that
1:23:56 most of our jobs
1:23:58 are about dealing with the [ __ ] we
1:24:01 created.
1:24:04 A lot of the jobs are not that
1:24:06 inspiring.
1:24:09 So what if
1:24:12 the AI can eat up those jobs and free us
1:24:18 to ask the question
1:24:22 if AI enabled me to do what anything I
1:24:25 wanted to do
1:24:28 then the question is on me to answer the
1:24:30 question what do I want to do
1:24:35 and it's on you
1:24:38 and it's on the people in your family.
1:24:40 What do you want to do?
1:24:43 You're entering a world
1:24:46 where this technology will assist you in
1:24:50 doing anything you want.
1:24:54 And let's assume it's 10 people that the
1:24:57 AI within two years is going to be good
1:25:00 enough
1:25:02 to essentially give you 10 full-time,
1:25:06 not even full 40 hours a week,
1:25:08 full-time, 247,
1:25:10 10 247 employees that don't need a break
1:25:14 that will do anything you want them to
1:25:15 do.
1:25:19 What are you going to do? What would you
1:25:21 choose? Tik Tok pin.
1:25:24 Most of us will be doing jobs that don't
1:25:26 exist yet. Yeah. And Kuno, you know,
1:25:30 there's some someone in in in in talking
1:25:33 about all this stuff like someone once
1:25:35 said they were talking about if you took
1:25:38 someone from 1895. If you took someone
1:25:40 from 1925
1:25:42 and you brought them forward and and and
1:25:46 you said, you know, what's your job to
1:25:49 some 25year-old twerking YouTuber?
1:25:53 They'd say like, I make videos.
1:25:56 [laughter]
1:25:56 I'm an influencer.
1:25:58 That person from 1925 would look at that
1:26:01 job and they would be like, that's not
1:26:05 work. That's not a job.
1:26:08 Work is about toiling in the in the
1:26:11 factory. But you wait, but what do you
1:26:15 do on these videos? You you teach people
1:26:16 how to do things. Oh, no. I do dance
1:26:19 moves. What do you mean dance moves?
1:26:22 Like this. [laughter]
1:26:28 And that's your job? Yeah. How much do
1:26:31 you make? I don't know. Last month I
1:26:33 made $150,000. Wait, what?
1:26:36 >> [laughter]
1:26:39 >> Right? The jobs of today
1:26:43 are unrecognizable as jobs, you know,
1:26:45 from even 50 years ago. Someone from 50
1:26:48 years ago would look at the jobs today
1:26:49 and go, "What is that?"
1:26:52 There's another set of jobs 20 years
1:26:55 from now that we're going to look at
1:26:57 from today's perspective and go, "That's
1:26:59 not a job.
1:27:02 Juggling is not a job.
1:27:06 Walking with a human around a park like
1:27:09 they're a pet is not a job. It might be.
1:27:13 We don't know. We don't know what the
1:27:15 jobs are yet. We don't know where the
1:27:18 value is. If the AI does the tactical
1:27:22 execution of our work,
1:27:26 what's left is us asking what do we want
1:27:28 to do?
1:27:33 going to be some crazy ass [ __ ]
1:27:36 It's going to be cool.
1:27:39 They wouldn't have believed us 15 years
1:27:41 ago. Yeah, exactly,
1:27:43 Bob. And I love that idea.
1:27:46 Saving the world starts with my spell
1:27:48 check bot. Yes. But you know what? It
1:27:51 actually [ __ ] does. [snorts] Saving
1:27:53 the world starts with no Puerto Rican
1:27:57 frog sticker app.
1:28:00 She's going to make the world a slightly
1:28:02 more tolerable place.
1:28:05 [laughter]
1:28:06 What do you mean? There's a Puerto Rican
1:28:08 frog sticker app. Yeah, there is. I
1:28:10 didn't know you could do that. Neither
1:28:13 did anyone else.
1:28:16 But she figured it out. And she put it
1:28:19 in the world.
1:28:20 And it's going to make some people
1:28:22 [ __ ] smile someday that were having a
1:28:24 shitty day. And someone's gonna send
1:28:26 them a little Puerto Rican frog. Hang
1:28:29 it. Here's your sticker. Hang it.
1:28:31 [laughter]
1:28:35 Right.
1:28:37 [laughter]
1:28:41 All those little All those little
1:28:44 seeds of self-expression.
1:28:47 The thing that I'm excited about for
1:28:49 Side Hustle Mimi, for no with this app
1:28:55 is not the particular expression that
1:28:57 she made an app and got it on the app
1:28:59 store. Like for her personally, that was
1:29:00 a big journey. Lots of people put apps
1:29:02 on the app store app store. But what it
1:29:04 is for me is it's the personal
1:29:06 self-expression. like she took something
1:29:08 that was meaningful for her and she
1:29:11 figured out a new and exciting way to
1:29:13 package that idea up and put it in the
1:29:15 world and it's going to excess a
1:29:17 different group of people than if she
1:29:19 had done that as a a children's book or
1:29:21 a sticker book or a set of stickers she
1:29:24 sold on Etsy. It's a completely
1:29:26 different thing. It's a completely
1:29:28 different mode of expression,
1:29:31 but it is 100% true to who she is.
1:29:35 Those are the things that that Kelly
1:29:38 Bosch video that I showed you that
1:29:39 there's something about it that's just
1:29:41 different
1:29:42 than the other kinds of videos that
1:29:44 people using the exact same tools make.
1:29:47 Why?
1:29:49 Because that video is an expression of
1:29:51 who she is and her creative point of
1:29:53 view.
1:29:55 That's going to be our job. That's going
1:29:57 to be our job.
1:30:00 And so to the extent that you're not in
1:30:02 touch with that
1:30:05 we're creating the AI salon mastermind
1:30:08 practice, right?
1:30:11 Is to start having this conversation
1:30:13 about it doesn't matter what tool you
1:30:15 use. It's irrelevant.
1:30:17 They're all fine. They're all good.
1:30:19 What's the best AI? Whichever one does
1:30:22 your [ __ ] thing. Whichever one for
1:30:24 Noami,
1:30:26 the best AI was the one that let her
1:30:28 [ __ ] figure out how to make an app on
1:30:30 the Apple App Store, submit it, and get
1:30:33 it [ __ ] approved. I'm sure it was a
1:30:36 dozen of them. I'm sure there was a
1:30:38 dozen different AIs involved in that
1:30:40 journey.
1:30:42 She probably doesn't remember a third of
1:30:44 the apps she used to get there.
1:30:47 The apps are irrelevant. What's what's
1:30:49 relevant is that she took the idea, had
1:30:52 the idea, [clears throat] said, "Huh,
1:30:54 wonder if I could make an app,
1:30:59 was motivated enough, was driven enough,
1:31:01 was curious enough, was adaptable enough
1:31:06 to navigate the roadblocks,
1:31:08 get rejected by Apple, resubmit, and
1:31:12 have them go, "Cool, you're in."
1:31:16 That's remarkable. Wait,
1:31:20 what tool? Who gives a [ __ ]
1:31:28 Christmas homework. Yeah, here's your
1:31:31 Christmas homework.
1:31:33 I want you to go spend really, really,
1:31:36 really, really, really good quality time
1:31:39 with your family, with your friends,
1:31:41 with yourself.
1:31:44 Just being.
1:31:47 just take in like 2025 I think we can
1:31:51 all agree was a [ __ ] dumpster fire
1:31:55 [laughter] for me personally what like
1:31:58 just
1:32:01 what a [ __ ] [ __ ] show
1:32:05 and I think for a lot of people
1:32:07 but we're here we're still here
1:32:11 um
1:32:13 we've got this remarkable community and
1:32:15 you've got, you know, your family and
1:32:18 you've got your friends and you've got
1:32:19 yourself. And so I would spend some time
1:32:23 over the holidays just take a breath,
1:32:26 take in
1:32:28 what was good about 2025, what didn't
1:32:31 work about 20 2025, what you're excited
1:32:35 to leave in the rearview mirror,
1:32:38 what you're excited like I'm excited in
1:32:40 2026
1:32:45 to really step into
1:32:50 This is going to be weird to say because
1:32:52 I'm on here every night. Really step
1:32:54 into my voice. Really own
1:32:56 the things I create and talk about them
1:32:59 freely because I don't right now and I
1:33:02 haven't for years. I create these things
1:33:05 and then I kind of hide behind them.
1:33:06 It's this it's a very weird dynamic.
1:33:10 And so 2026, I'm really excited about
1:33:12 just being me and just owning, you know,
1:33:15 what it is in life that I'm discovering.
1:33:21 We all give a certain amount of
1:33:23 ourselves, right? And there's there's
1:33:25 kind of like most people see like some
1:33:27 percentage of us. And let's say they see
1:33:30 a lot of it. 99% of you they see there's
1:33:33 like in my case, there's like this 1% I
1:33:35 hold back. There's this 1% that I'm
1:33:37 afraid of, that I'm stingy with that I
1:33:45 that I just I I keep back. I hold back.
1:33:49 And what I'm learning is that when I
1:33:52 don't hold that 1% back, [ __ ]
1:33:55 remarkable things happen. [ __ ]
1:33:59 remarkable things happen.
1:34:02 Like I've got some pretty badass
1:34:05 producers who are signing on to work
1:34:07 with me to get this musical I wrote
1:34:10 produced in New York, which is my dream.
1:34:15 And
1:34:17 that came out of a moment where I wasn't
1:34:21 holding back that 1%.
1:34:23 So I think we all have these little
1:34:25 reserves of our humanity of of who we
1:34:28 are that we just we protect it. It's
1:34:30 like the little nugget of the the nugget
1:34:34 of pure energy, you know, plutonium
1:34:38 584,
1:34:40 right? That is the is the source of
1:34:42 everything we are. You just like, yeah,
1:34:46 I'm gonna I'm gonna just hold this back
1:34:48 a little bit. So So that's what I want
1:34:51 you to do on over the holidays is just
1:34:54 just be and just, you know, notice that
1:34:58 little thing. What is that little thing
1:34:59 for yourself that you hold back? And
1:35:02 then [clears throat]
1:35:04 Boxing Day, the 26th, the day after
1:35:06 Christmas
1:35:08 is the first day of AI Festivus. I would
1:35:11 say drink some solid eggnog the night
1:35:14 before. Wake up a little groggy and get
1:35:16 your ass to AI Festivus and hang out
1:35:18 with us for two days. And then just just
1:35:22 be just enjoy it. Just celebrate it.
1:35:24 Just know that you're in community. Know
1:35:26 that you're with people trying to figure
1:35:27 this [ __ ] out. All right.
1:35:30 So, that's it. What are we doing on
1:35:32 time? Perfect timing. Um,
1:35:36 I really, really deeply appreciate each
1:35:39 and every one of you. Producer Brandon,
1:35:41 you do like you show up here a lot. The
1:35:44 irregulars and the mods that show up on
1:35:47 Tik Tok and YouTube and support Vicky,
1:35:50 you're amazing. Um, to all the mods on
1:35:52 on Tik Tok and just the the irregulars
1:35:55 that regularly show up. Um,
1:35:59 you know, I want to take a moment to
1:36:01 just acknowledge this past year we lost
1:36:03 uh Serena, uh, Alio's wife, who was the
1:36:06 one that came up with the term
1:36:07 irregulars.
1:36:09 Um, very early on in this channel,
1:36:13 um, these weirdos kept showing up night
1:36:16 after night after night after night. And
1:36:19 and about a month and a half into into
1:36:21 starting these lives, these live
1:36:23 streams, I said [laughter]
1:36:26 I I said, "Y'all are just a bunch of
1:36:28 weirdos." And Serena immediately, she's
1:36:31 very quiet, she didn't say much, but she
1:36:34 immediately clapped back with, "We're
1:36:36 not weird, we're irregular."
1:36:39 And and that was the moment the
1:36:41 irregulars were born. Uh yeah, we like
1:36:43 turtles. Um, and so, so I miss Serena
1:36:47 and I miss I miss that energy. I miss
1:36:49 that her generosity and her she loved
1:36:54 every single person in this community.
1:36:57 Um, loved them and they loved her and so
1:37:01 that was a that was a really big loss
1:37:02 this year. So anyway, um, thank you all
1:37:06 for hanging out. Thanks for for your
1:37:08 support as always and uh have a
1:37:11 beautiful next couple of days and I will
1:37:13 see you Friday
1:37:15 at 9:00 am Pacific time. Uh if you go to
1:37:18 aifestivist.com you have to register.
1:37:20 You'll be sent a Zoom link and you will
1:37:23 jump in the party and be hanging out
1:37:25 with it. It's going to be fantastic. All
1:37:26 right, afestivist.com. Go register if
1:37:29 you haven't. All right, everybody.
1:37:31 Fantastic. Go drink some eggnog. Uh
1:37:34 slice the ham. Do whatever you need to
1:37:35 do. Slice the ham. [laughter]
1:37:40 Go grind the cranberries. I got some I
1:37:43 got some cranberries to grind here. All
1:37:46 right, I'll see y'all later. [laughter]