8/20/2025 - Embracing Authentic Self-Expression in the Age of AI

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Transcript

0:02 Jeffy, come here.
0:07 [Music]
0:25 [Music]
0:31 Hey, hey, hey. No rapping. We're
0:34 singing.
0:37 No.
0:42 [Music]
0:52 [Music]
0:58 Every time I see your mouth, I hear that
1:02 smile
1:05 and early misty morning light that I
1:08 heard the engine turning the old fart
1:13 [Music]
1:18 You believe in me
1:21 again today.
1:24 You will convince me
1:27 again today.
1:30 Leaving this all time looking for
1:34 someone else's golden ring.
1:38 should have say so long Suzan
1:47 hushed out cry.
1:50 [Music]
1:58 Don't you cry for me.
2:05 [Music]
2:08 Sharing you cigarettes and keeping warm
2:10 out on the road.
2:13 Chasing down a lifestyle out on Highway
2:17 24.
2:19 New York State was a rolling breeze in a
2:22 sunshine with a blue sky falling. The
2:26 chill of old September cre
2:29 [Music]
2:38 [Music]
2:38 [Applause]
2:41 [Music]
2:46 looking for someone else's code to bring
2:53 to
2:55 So long, Suzan.
3:01 Hush. Now don't you cry.
3:05 [Music]
3:07 So long, Susanna.
3:14 Don't you cry.
3:16 [Music]
3:27 [Music]
3:31 Good evening, good people.
3:33 It's Wednesday night here on the
3:36 internet.
3:38 Although I think if you're down under,
3:41 it's Thursday morning.
3:44 It's time is a relative thing.
3:48 According to one Alfred Einstein,
3:53 he ran the deli over there in Flatbush,
3:56 Brooklyn.
3:57 Whole Alfred. He said time was relative.
4:01 Oh, there's my other earbud. I lost it.
4:05 I just found it.
4:08 Uh, I don't see a pin thing. Thursday
4:11 something. Oh, Thursday lunchtime.
4:14 I had nothing better to do while sitting
4:16 on the toilet.
4:20 [Music]
4:35 Put the easyest place I can raise my
4:38 whole head
4:43 together. My thoughts in sweet silence.
4:48 [Music]
4:51 Here's this place where the feelings are
4:54 dead.
4:55 [Music]
4:58 From an over exposure to pilots.
5:03 This is the place I can slowly face. The
5:07 only one I truly can know.
5:12 These are tears from a long time ago.
5:16 Got these tears from a long time ago.
5:20 I need to cry
5:22 all soul.
5:24 These all tears from a long time
5:29 go.
5:34 [Music]
5:36 Well, oh darling, oh darling, you say
5:39 all to me.
5:43 [Music]
5:44 Where have you been all my life?
5:50 [Music]
5:52 I have been swimming seven sad seas.
5:56 [Music]
5:59 Four women have lost me their lifelines.
6:03 Light pull them into the water. stuck
6:06 her in. I'd have them, but I didn't
6:09 know.
6:12 These are tears from a long time ago.
6:16 Got these tears from a long time ago.
6:20 I need to cry 30 years or so.
6:24 These are tears from a long time
6:29 ago.
6:31 [Music]
6:43 Oh, I had the groove going there. Little
6:46 groovy action. Little groove happening.
6:49 [Music]
6:58 Um, all right. What's happening, good
7:00 people? What's going down?
7:03 Um,
7:05 you know,
7:08 had a really good talk with Cindy [ __ ]
7:10 today
7:12 and we both came to the realization,
7:15 [Music]
7:19 well, Cindy came to the realization
7:21 about herself and then I came to the
7:23 realization about me
7:27 that
7:28 [Music]
7:39 that both Cindy and I have
7:42 authentic selves that
7:45 are are left of center.
7:51 [Music]
7:52 And
7:54 sometimes in an attempt to seem more
7:56 businessy,
7:58 we try to
7:59 gloss over that
8:01 [Music]
8:08 and everyone can see through it. So,
8:10 what the [ __ ] are we hiding from?
8:15 [Music]
8:19 Sometimes I'll see someone
8:23 during the day and they'll have seen me
8:26 on LinkedIn the night before and they're
8:28 like, "Ah, that that lie. I saw you on
8:31 that live last night. That's a little
8:34 weird. It's a little weird. A little
8:35 cussy. Little cussy. You sure you want
8:38 to put your brand out there like that?"
8:43 And uh
8:46 yeah, I do.
8:54 [Music]
9:07 You know what hit me today
9:10 is
9:15 one of the first things I did with AI
9:17 was automations. I did Zapier
9:18 automations. Cams and black bar. Oh
9:21 yeah, cams
9:23 is I did Zapier automations and I and I
9:26 very quickly
9:28 got bored with Zapier automations. And
9:31 what hit me today is why
9:34 they're not bad. Like people that are
9:36 into automation and efficiency and
9:38 things like that, they're [ __ ]
9:41 awesome.
9:43 But like when N8N came out and everyone
9:44 was talking about, oh, N8N's better than
9:46 Zapier, it's better than make. And then
9:48 they're like, it's a little hard, but
9:50 you know, it's better.
9:54 I didn't learn it at all.
9:57 And what struck me today is
10:01 I didn't learn about all that automation
10:04 stuff because I don't give a [ __ ]
10:08 The thing that lights me on fire, the
10:10 reason I have this channel, the stories
10:13 that I tell of people from this
10:15 community who've reinvented themselves,
10:19 what do they all have in common?
10:23 Self-exression.
10:26 Like my passion
10:28 for new technology, my passion for
10:32 what AI makes possible
10:38 is the ability for us as humans to be
10:41 fully self-expressed,
10:48 which reminded me
10:52 how fully self-expressed I have not been
10:55 being.
10:58 And you're like, "But Kyle, you're on
10:59 here all the time. How could you be any
11:01 more self-expressed? What are you going
11:02 to go 247?"
11:05 It's not really about that.
11:08 It's like if you know, you know. It's
11:09 like
11:15 what I what I recognized in talking with
11:17 Cindy today, Tik Tok question. Heard of
11:21 Pommel? No, I haven't.
11:24 I don't know what it is. I'll I'll get
11:25 back to that.
11:28 I'm a sailor in the land of cuss. What
11:31 are you going to do? What are you going
11:32 to do about it?
11:35 Oh, prompt orchestration markup
11:36 language. I I assume that pommel is a
11:39 fancier version of JSON. So, um, again,
11:44 I'm
11:47 I think structured prompting is fine. I
11:50 also think that nonstructured prompting
11:52 is fine.
11:54 I think I like there's a lot of
11:56 different ways that you can I mean it's
11:59 called a large language model, right?
12:01 Chat GPT is a large language model
12:05 and you can come at language in a lot of
12:07 ways.
12:10 There are there are people that study
12:13 Shakespeare that analyze every syllable
12:15 of every line and look for every missing
12:20 chunk of amic pentameter.
12:24 And there are people that
12:26 understand
12:29 the words on the page and just say them.
12:32 And neither of them are wrong. And it's
12:34 the same way with with large language
12:36 models. So if POML's like a a more
12:39 successful version of of JSON prompting,
12:41 then great. Sounds cool. Um
12:45 anyway, back to the self-expression
12:47 thing.
12:52 I think I think to some degree
12:57 like where I've been hiding
13:00 is in like just really declaring what I
13:03 give a [ __ ] about. I mean, sure, I'm
13:05 passionate about AI, but what about AI?
13:09 And it's the self-expression piece. It's
13:11 the fact that people can get ideas out
13:14 of their head and bring them to life.
13:19 And that to me is [ __ ] everything.
13:22 It's life
13:28 and I haven't been doing it. And so
13:39 I'll give you a specific example. If
13:41 you're like, well, you know what what
13:42 would be different? I'll give you a
13:44 specific example.
13:47 Every night
13:49 for five nights a week, I generate one
13:52 and a half to two hours of content.
13:56 Over the past two and a half years, I've
13:58 put about 1,500 hours
14:02 of YouTube videos,
14:05 you know, in the form of archives of
14:07 these lives out there, plus AI salon
14:10 meetings, plus AI readiness podcast.
14:19 What have I done with that content?
14:23 Nothing. I've ignored it.
14:27 Lord Digital Gods, bless his heart,
14:30 takes it upon himself to make sure that
14:32 all those YouTube videos have a
14:34 description and chapters. So, like,
14:36 they're all discoverable. If you go to
14:38 the YouTube channel for the AI Learning
14:40 Lab, there's [ __ ] 1,500 hours of
14:42 stuff. You want to go find out what we
14:44 were talking about in, you know, spring
14:47 of 2023, it's there.
14:51 You can search it.
14:55 I've never gone back and taken one of
14:58 those videos and, you know, put it into
15:01 an AI video processor and chopped out
15:04 cool little sound bites and shared them.
15:08 Why is that? I don't know.
15:10 For me, there's something about
15:15 having the AI learning lab channel as
15:17 this thing I just talk into
15:20 that in a weird kind of way I can
15:24 not take responsibility for. I was just
15:27 I just said it. I just said it. But if I
15:32 go back and look at it and actually
15:33 analyze it and say, "What was good about
15:35 that? What was good about what was bad
15:37 about it? Hey, here's a thing I said
15:39 that I think's really good. Then I
15:40 actually have to own that.
15:43 And that's the thing I've been avoiding.
15:51 And that's [ __ ] stupid.
15:55 It's stupid.
16:00 I have good things to say.
16:03 I've changed people's lives. And yet,
16:06 for some weird reason,
16:09 I feel this
16:11 urge to sit in the shadows of this thing
16:14 I've created that I I somehow think is
16:17 separate from me. It's not separate from
16:20 me, but in my mind, it is in this
16:22 [ __ ] crazy straw of a brain.
16:26 And so, I don't own the [ __ ] I don't
16:29 own my stuff.
16:35 That's what I'm going to start working
16:36 on.
16:39 And if you're new here, you're like,
16:40 "What the [ __ ] is he talking about?"
16:42 Welcome.
16:50 Living is forward momentum.
16:52 So is self-expression.
16:59 Um,
17:04 so there's there's something that I want
17:05 to do tonight that something's been
17:07 bugging me that I want to I want to do
17:10 something about.
17:14 So, it used to be when I would do these
17:17 these here lives, we had a much more
17:21 direct connection
17:24 to the AI salon.
17:29 And
17:32 I've kind of lost that. And so, here's
17:33 what I'd like you to do. If you're a
17:35 member of the AI salon,
17:38 I want you to go there right now. And if
17:41 you're not a member of the AI salon, go
17:43 to go to community.thesalon.ai.
17:46 So the salon.ai is the URL. Put a
17:48 community in front of it.
17:50 Community.thesalon.ai
17:52 and join.
17:55 And I want to do a little bit of a uh a
17:57 flash mob
18:00 on the AI salon. So, when you first get
18:03 to the AI salon,
18:07 [Music]
18:09 when you first get to the AI salon,
18:12 you're going to get to there's a little
18:14 like sevenst step thing. And and the
18:17 first thing I want you to do is I want
18:19 you to go to step number six, the water
18:22 cooler.
18:24 And I want you just to say hello. I want
18:26 you to just jump in there and go, um,
18:29 here I'll I'll do I'll do the first one.
18:31 Hey there from the AI learning
18:36 lab
18:39 mob.
18:43 So just go post something in water
18:45 cooler. Something pithy some I don't
18:48 know some some something. All right.
18:52 Just go just go post in there. Yeah.
18:54 Perfect. Hi all from Kelly Camp. Hello
18:57 Kyle at all. Uh, like say something to
19:00 one another. Hey, they're from AI
19:02 Learning Lab via my comfy bed in New
19:04 Hampshire. Perfect.
19:06 Perfect.
19:12 This is great.
19:15 Beautiful. Flesh turtle mouth. Exactly.
19:17 Good.
19:20 And I and I want you to take in
19:24 like even if you've been in the salon
19:25 for ages like the over the summer the
19:27 the activity in the salon's kind of gone
19:30 down and part of it is I'm not driving a
19:32 lot of activity there and part of it is
19:34 just summer
19:37 but I want us to remind ourselves like
19:39 there's this amazing community there. So
19:41 just say hi to people. So that's good.
19:43 Okay good. So, next I want you to go
19:46 down under the community section
19:50 and go to look what I made
19:54 and it's it's our show and tell and the
19:56 latest one in there is Sharon Crawford,
19:58 a very cute little butterfly.
20:02 And so, what I want you to do right now
20:05 is either you can either post a tip and
20:07 a trick. So, if you've got some sort of
20:09 cool trick you've got, put that in tips
20:11 and tricks. Or if you want to show and
20:14 tell something, I want you to go find an
20:16 image and post it or or a song or a a a
20:20 poem or a PDF or an application. I don't
20:23 care. Anything you've made, okay?
20:26 Something you're proud of.
20:29 So, let me see. What am I going to do?
20:31 What have I got here? I think I have
20:32 some interesting Oh, the these were the
20:34 things from last night. These were kind
20:35 of cool. All right. I want to post this
20:39 one.
20:42 cuz that one just looks like a Tarantino
20:44 film.
20:49 This
20:53 was
20:56 from
20:59 last night's
21:03 uh AI, what did I call it? AI improv
21:06 session,
21:07 which those were going to bring back. I
21:09 I had fun last night. I don't know if
21:11 you did, but we're gonna bring those
21:12 back and we're gonna make those much
21:14 more interactive.
21:16 Brandon had a good idea about that.
21:18 Producer Brandon is rocking it pretty
21:20 good right now. Um, okay. So, I just
21:24 posted I just posted that cool picture
21:26 and then I think I'll comment Oops, I
21:28 gave myself a thumbs up. That's very
21:30 rude. Very rude of me. I'm gonna I'm
21:33 gonna post a comment of the the kitchen
21:37 lady
21:39 who went with him.
21:46 All right.
21:48 And so, so here's my request. So, go
21:51 post something
21:53 and then also comment or like give heart
21:56 emojis on other people's work. All
21:59 right.
22:04 [Music]
22:05 Okay.
22:10 Then,
22:12 and you can be doing this all night. You
22:14 don't need to do this all right now. So,
22:15 the first place is in number six, the
22:20 water cooler. Just connect with people.
22:23 Under community, look what I made. Post
22:25 some work.
22:28 And then under the latest news, I want
22:30 you to go to the news section and just
22:32 post some news item you've got. So, I'm
22:35 going to run over to
22:37 X and find a news item.
22:47 And like the whole point of the AI salon
22:50 is for all of us to support one another.
22:52 So, what I'm kind of reminded of tonight
22:54 is, yeah, let's let's let's get back to
22:58 that. Let's get back to supporting one
23:00 another, sharing things.
23:03 Um,
23:05 all right. Let me see if I can find a
23:06 news piece that I think's interesting.
23:10 We're gonna have producer Brandon up
23:11 here in a second. Introducing Quenedit.
23:13 Oh, that's Korea. They've got some new
23:15 [ __ ] up there.
23:17 Um,
23:22 using Flow you can build stories with
23:24 con consistent characters. That's not
23:26 really news.
23:29 Let's see.
23:32 You can now lock Grock in kids mode. Oh,
23:35 the kids can't make porn anymore. That's
23:38 a bummer.
23:40 Um,
23:41 [Music]
23:50 Plot twist. Kids mode is also a porn.
23:56 Oh, all right. This is good. This is
23:59 good. I'm going to go copy this.
24:02 Copy link. And then I'm going to go back
24:04 to the AI salon. I'm going to go. Looks
24:08 like we may have
24:12 GPT6 sooner
24:14 than
24:16 later, maybe before end of the year.
24:25 I'll paste that in there. Bang, bang,
24:27 bing, bang, boom, boom. There's a little
24:31 news thing.
24:33 All right.
24:36 And then the last place that I want you
24:38 to go
24:40 and is to the Irregulars channel. So the
24:42 irregulars channel is what we have going
24:45 here. So just you can either share
24:48 something cool like Danielle shares a
24:49 ton in here, Lord Digital God shares a
24:51 ton in here, but also but just jump over
24:53 to the chat
24:55 and even though we've got the chat for
24:58 um
25:02 you know we've got the chat on YouTube
25:04 and we've got the chat on Tik Tok just
25:06 jump over the chat and say hey
25:08 irregulars. So, let me Hey, irregular
25:14 exclamation point.
25:17 Let's see if I can find the weird
25:20 graphic.
25:28 We are not weird.
25:34 Irregulars.
25:39 [Music]
25:47 Oh, that's a cool one. Oh, this is a
25:49 cool one. This was from Suzanne did this
25:52 ages ago. This is when when uh I don't
25:56 know if this was chat GPT or what it
25:58 was. Oh, am I not sharing this tab? I'm
26:01 not sharing the right tab, am I?
26:04 No. Oh, wait. Am I? Yeah, I am. Okay,
26:07 there we go. Hey, regulars. Um,
26:11 fun janky spelling
26:15 from
26:17 a year or so ago from Suzanne.
26:23 Um, let's pop that in there in the old
26:26 chat. All right, so just go chat, share
26:29 cool things. All right, so four
26:30 different places tonight. the water
26:32 cooler
26:34 and and water cooler's out there for
26:36 anyone to see.
26:40 Look what I made. So, go share some
26:42 [ __ ] Let's look at what Ocean shared.
26:44 Nice. Nice image. Nice Valerie.
26:47 Beautiful. Corey Sandler taking a dump.
26:50 Well, the angel's taking a dump.
26:56 She's taking a dump in her pants on the
26:58 toilet, which is nice. That's solid.
27:03 All right. If you got a news item, go
27:06 post a news item and then just just
27:08 connect in irregulars. And so throughout
27:10 tonight,
27:12 what I would request that you do is just
27:16 be active in the salon. All right.
27:21 I want us to remember to remind
27:24 ourselves
27:26 to remind myself
27:28 to be more active in this community. I
27:31 think it's super important. All right.
27:35 [Music]
27:39 Um, with that, I would love to have
27:43 producer Brandon come up. So, one of the
27:45 things that I did not do today, I was I
27:47 had a very, very busy day. Um,
27:51 one of the things I did not do today,
27:53 which I normally do, is watch like the
27:55 Google event. So, Google had their Pixel
27:58 10 event and they announced they
28:00 announced a pile of new things. They had
28:02 Jimmy Fallon, was it Jimmy Fallon? I
28:04 think it was Jimmy Fallon. They had one
28:06 of the late night show hosts um,
28:09 hosting
28:11 um, and uh, producer Brandon paid
28:14 attention to all that. So,
28:17 producer Brandon
28:19 What's happening?
28:21 >> Hello.
28:22 >> Hello. Hello. Hello. Why don't you tell
28:25 us and the good people what did you
28:27 learn today?
28:28 >> Yeah. So, I I learned uh Google is
28:31 trying to eat Apple's lunch. Uh when it
28:34 comes to AI,
28:35 >> Apple Apple is giving them a big long
28:38 runway to take that plane off on.
28:42 At some point, maybe Apple will do
28:43 something. But, uh how are they trying
28:46 to eat their lunch the most? What did
28:47 you see today? felt like it was in the
28:49 hood.
28:50 >> So, uh, they've been working on the
28:53 Pixel series, uh, which is their version
28:55 of the iPhone for nine years now. And
28:58 this was their 10th generation. They
28:59 made a big deal. They had a bunch of
29:01 celebrities. It was a big upscaled event
29:04 from where it typically is for a Pixel
29:05 launch event. Curiously, you can't buy
29:08 any of this hardware until October, but
29:10 because Apple's event is in September,
29:13 they're doing the pre-launch in August.
29:15 >> They wanted to preempt it. Yeah, that's
29:16 really funny. Okay. Yeah, that makes
29:18 sense.
29:18 >> And so they they listed seven new
29:21 hardware devices out today. So
29:23 everything from phones, including a
29:26 photo a foldable phone, uh to a new
29:29 generation of their watch, which has end
29:32 of pulse detection. So if your heart
29:34 stops in the middle of the night, your
29:36 watch can call 911 for you. Um which is
29:39 really cool.
29:40 >> Why hasn't someone done that before?
29:41 Like that seems like an obvious one,
29:43 doesn't it? Yeah, I I think I think they
29:45 finally got the the heartbeat detection
29:48 high enough that they're confident it
29:49 won't send false positives.
29:51 >> Um,
29:53 >> the ambulance keeps coming to pick you
29:55 up.
29:55 >> Yeah.
29:57 >> I don't know. I stand up too fast. My
29:58 watch warns me like, "Are you sure
30:00 you're okay, bud?" Um, yep. Nope. Just
30:02 out of shape. Uh, and so the earbuds and
30:06 the whole nine yards. But, you know, one
30:08 of the things that Google has kind of
30:10 become known for is they release all of
30:13 this new flagship hardware, uh, and all
30:16 these new software updates with the
30:19 hardware.
30:20 >> Uhhuh.
30:20 >> And then if you're like me and you're on
30:22 Pixel 9, if you wait till like, I don't
30:25 know, November, um, suddenly you get
30:27 most of what the Pixel 10 has, right?
30:30 And so, but if you're new to the Pixel
30:32 line, it's it's best-in-class camera. it
30:35 it continues to have the best-in-class
30:37 camera. And what they've started doing
30:39 now is they've started to incorporate
30:41 generative AI into Google Photos. We saw
30:44 this last year with generative
30:46 background fill and magic edit where you
30:48 could reimagine the subject of your
30:51 picture. Now they've taken it a step
30:53 further with VO built in and they can do
30:56 things with photo to video. So you take
30:59 a photo from your photo reel and you've
31:01 got two options. You can do subtle
31:02 movement or you can do the famous I'm
31:05 feeling lucky button.
31:08 So, here is a uh a picture of my uh dog.
31:13 Uh that's your screen. Let me I'm going
31:15 to take your screen down for just a
31:16 second so I can bring mine up. And um
31:21 we are going to see my dog. Uh so I gave
31:27 it a reference image. This was the
31:30 reference image I gave it of my dog and
31:33 I just said, "I'm feeling lucky." And
31:35 this is what I got in response. Um, a
31:38 fun little uh image of my dog wearing
31:42 some shades and a fedora. So, yeah,
31:45 we're starting to see
31:47 >> it's a bucket hat.
31:48 >> A bucket hat. Yeah, thank you. Um,
31:51 Google Gemini would have corrected me,
31:53 but so I I think we're starting to see
31:56 with Google's approach is that they're
31:59 taking what they can do with large
32:02 language models and AI and baking it
32:05 into the products that they already have
32:07 in their toolkit and they're introducing
32:10 AI in a way that doesn't feel like we're
32:12 shoving Gemini down your throat.
32:15 >> They are shoving Gemini down your throat
32:16 in a lot of different ways. um but this
32:19 is not one of them. And so I thought
32:21 that was a really cool uh nice little
32:23 subtle way to inject AI into one of
32:27 their already popular products.
32:29 >> Mh. The other thing that they did
32:32 absolutely took the stage, blew my mind
32:35 and felt like next generation tech and
32:38 might be the reason that some people
32:40 drop Apple for Google Pixel line and
32:44 that is real time translation
32:46 uh on device. So they're not sending
32:50 anything into the cloud. Everything's
32:52 happening on your device which I I
32:53 called yesterday. I said they're going
32:55 to release some sort of ondevice
32:56 processing for AI.
32:58 >> Yeah. But what this is doing is for
33:00 phone calls uh it is introducing a
33:04 concept of you're on the phone with
33:08 somebody who doesn't speak your
33:09 language. You can turn on the
33:10 translation and have it real time
33:14 translate. Um so it takes whatever
33:16 you're saying in English and translates
33:18 it to whatever language that the other
33:20 person speaks. The key thing here is
33:23 it's going to clone your voice and match
33:25 your inflection and tonality. So, they
33:26 did a really cool demo uh with Jimmy
33:29 Fallon up on stage and I've got it uh
33:32 queued up here if we want to take a
33:33 minute and watch it.
33:35 >> Cool.
33:37 >> Um
33:40 come over here.
33:42 >> Can now translate phone calls in real
33:44 time.
33:44 >> Can you hear that?
33:45 >> And we do this in your own voice
33:48 inflections and everything. Okay.
33:50 >> And now you can have a conversation in
33:52 Spanish, Japanese, Hindi and more. And
33:55 the thing is, Pixel handles the
33:56 translation entirely on device. So your
33:59 phone conversations, they're going to
34:00 stay private.
34:05 >> Sophia,
34:07 >> Karen. All right. So we'll turn on the
34:09 translation feature. I head to call
34:11 assist, voice translate, choose the
34:14 language, and
34:15 >> call is translated by Google AI. In each
34:18 speaker's voice, audio is not saved.
34:22 Hi Karen, can you hear me? Does this
34:25 work?
34:34 >> What's up?
34:38 >> And the crazy person listened to you in
34:40 Spanish.
34:42 >> Okay, this is really cool. I can't
34:44 believe how fast it's working.
34:53 for
34:54 Google. For the first time, Google Pixel
34:58 10 will be available in Mexico.
35:05 >> That is so exciting. Each morning you
35:08 can use the
35:10 >> and it go it goes on like that. But
35:11 that's that's the gist of it. But um
35:13 yeah, I mean we're to kick myself off
35:16 the stage. We're really entering a new
35:18 world where AI is becoming a helpful,
35:22 productive assistant that we always
35:25 thought it could be in in the sci-fi
35:27 movies. So, that was Google Vio,
35:30 >> a transparent one. Wow. Very cool.
35:32 Awesome. Thanks for the update. And Ann
35:34 Murphy coming in hot uh saying fan of
35:37 Jimmy Kimmel, not of Jimmy Fallon. It's
35:40 a it's a controversial take, but she's
35:42 taking a stand. That's Anne Murphy.
35:44 She's willing to do it. She's willing to
35:46 stand up for what she believes in.
35:51 Oh, we need to push image generation and
35:53 posting during the lives. Exactly.
35:56 Exactly,
35:58 Danielle. I I totally agree. So, let's
36:01 do that. Let's go to
36:06 I guess not everyone has activity or has
36:10 uh has access to um what's it called?
36:15 midjourney. So, let's let's do it in
36:17 chat GPT. So, so here's what we'll do.
36:20 Okay, let's let's do
36:25 All right. What are we going to do? What
36:26 are we going to do? I'm going to do
36:28 something fun and interesting.
36:30 >> Oh, Kyle.
36:31 >> Yes. Yes, sir.
36:32 >> Uh, so two things. One, um, Ann three
36:36 things. Ann Murphree says she'll die on
36:37 that health, by the way. Um,
36:40 which we have a little conspiracy thing
36:44 uh conspiracy theory going
36:47 >> about the jimmies, the late night
36:49 jimmies
36:50 >> about Jimmy Fallon specifically.
36:52 >> Oh,
36:52 >> because Jimmy Fallon
36:55 >> being a huge Apple fanboy seems like a
36:58 strategic choice if they're going to get
37:00 him to switch and give him a free year
37:02 of Google AI Pro and get him to talk
37:04 about how much he loves Google now that
37:06 he's made the switch. Um,
37:08 >> we think there's something there.
37:10 >> But, um, more importantly than that, in
37:13 AI life hacks today, Danielle uh, keyed
37:16 us into something that I think we knew
37:18 about but promptly forgot about and that
37:21 is that Sora inside of Chat GBT can
37:24 generate images and it can do so faster
37:27 and with somewhat better quality and
37:30 context than just regular chatbt
37:32 imaging.
37:33 >> Oh, great. Okay. So, let's go. So
37:36 assuming you're paying 20 bucks a month,
37:38 you've got Sora. So go to sora.com or
37:42 within chat GPT. Oh, wait. Share this
37:45 tab instead.
37:47 Oh, can you unshare your thing so I can
37:49 share my thing? There we go. Okay.
37:52 Within chat GPT on the lefth hand side,
37:55 you can choose Sora
37:58 or you can just pop over to
37:59 sora.gpt.com.
38:03 And then we're going to go to images.
38:06 All right.
38:08 So, let's do we'll do three pi. I the
38:11 the fact that they don't have um um 16
38:15 by9 yet is just astounding to me.
38:17 Anyway, let's do four up images. Okay,
38:19 let's do
38:22 let's do
38:24 um
38:26 ah okay, I want you to do something
38:29 around selfex creative self-expression.
38:32 So, I'm going to use that as the prompt.
38:35 Um,
38:35 >> uh, tab.
38:37 >> Oh, tab. Which tab? Oh. Oh, tab. Tab.
38:40 Tab. Tab. Tab. Tab. All right. So, I'm
38:43 going to do I'm going to do I like that
38:46 crocheted piece. But let's see. Let's do
38:49 a
38:51 Let's do a a surreal
38:54 photograph
38:57 that represents
39:00 creative self
39:05 expression.
39:08 include
39:11 the words.
39:14 Um,
39:18 I create as I speak.
39:27 That's good enough. All right.
39:30 So, here we go. Added to the queue. My
39:33 media
39:37 [Music]
39:42 Now I thought I was doing four
39:43 variations. Maybe I am.
39:55 All right, 2%.
39:57 So I want everybody to be playing along.
39:59 I don't care if you're playing in
40:00 midjourney or ideog or pika or crea or
40:05 chat GPT just be doing something that
40:08 involves creative self-expression.
40:12 Okay,
40:13 this is a wide
40:16 it's a wide prompt
40:19 and then I I want you either to share it
40:21 in the show and tell area or in a
40:24 regulars or both. I don't give a [ __ ] I
40:27 just want some activity on the salon.
40:30 I want us to remind ourselves how much
40:31 fun it can be when you get in there and
40:33 and and share what you're working on.
40:36 All right.
40:41 Oh, something messed up with the mic
40:43 volume.
40:44 Uh oh. What happened?
40:49 My Sora crashed.
40:52 That was weird.
40:54 Oh, and by the way, I did restart my
40:55 machine last night if you were here last
40:57 night
41:00 and nothing worked. Remember my my
41:02 machine just crapped out like midway
41:04 through the night?
41:06 Maybe it was toward the end. All right,
41:09 here we go.
41:15 Erica, what's happening? Who else we got
41:17 in here? Danielle, Dr. J, William C.
41:26 [Music]
41:29 Allan, I'm an accountant. What is the
41:31 what is this creative self-expression
41:33 you you talk of? I'll tell you what,
41:35 Alan. So, so many many years ago
41:39 when I was the chief creative officer of
41:41 agency.com, which was an agency that I
41:43 founded in the mid 90s,
41:46 there was a bit of a kurfuffle
41:49 with our account people and our project
41:52 managers who were feeling a little as as
41:55 as the as the Jenzers would say today,
41:58 they were feeling a little triggered
42:01 and and the finance people were in there
42:03 too. They were feeling a little
42:04 triggered
42:06 because what had kind of happened was
42:09 our creative group
42:12 was taking a lot of um Oh, those are
42:15 fascinating. Our creative group was
42:18 taking a lot of credit for being the
42:22 creative people in the company and what
42:25 it kind of implied that no one else was
42:28 creative.
42:30 And and one of the things that struck me
42:32 when that when that rift came up
42:36 is that what the what the creative team
42:39 had done was they collapsed
42:42 two different things that are actually
42:44 very distinct
42:46 things.
42:49 There's the creative product which the
42:52 creative team is responsible for, right?
42:54 They're making the images. They're
42:56 making the website designs. They're
42:57 making if we're doing videos, they're
42:59 making audio choices. They're doing
43:00 writing. That's the creative product.
43:05 But the thing that they were collapsing
43:07 into it was creative process. So even as
43:10 a as an accountant, you can be
43:12 creatively
43:14 self-expressed with accounting. You
43:16 don't want to get too creative with the
43:17 numbers, but like if if doing accounting
43:20 is something you're passionate about and
43:22 it is a form of self-expression, if you
43:24 take pride in how you put together
43:26 numbers, in my opinion, that is full-on
43:29 creative self-expression.
43:31 It's just the creative process part.
43:33 It's not creative product. So, that's
43:36 actually a really important distinction.
43:37 So, I'm glad you I'm glad you brought
43:38 that up. Did I What the hell is going on
43:42 with
43:46 My my screen sharing is just not happy.
43:51 It just keeps going away.
43:54 But anyway, here's my images
43:58 as I speak. I create as I speak, which
44:02 by the way, I don't know if you knew
44:03 that. So, let's let's go um make the
44:07 images
44:09 even more surreal
44:12 and include the word
44:18 abracadabra
44:21 as well.
44:27 So the translation of abracadabra, the
44:29 magic phrase or the magic word is I
44:33 create as I speak. I just did a Tik Tok
44:36 video on this today that
44:42 AI
44:44 here's what I've been thinking and and
44:45 this was partially because of the
44:47 conversation I had with Cindy [ __ ] and
44:49 partially just because I've been
44:51 thinking a lot about this like
44:56 why does it make sense for a guy with a
44:58 fine arts degree in acting
45:02 to be talking about AI at
45:05 Well,
45:07 with AI,
45:10 you create as you speak.
45:13 And what are actors? They're speakers.
45:15 What are writers? They're speakers. What
45:17 are liberal arts people? They're people
45:18 that play in language, that play in
45:20 philosophy, that play in ideas, that
45:22 play in the why. The why of what we do,
45:25 not just the what of what we do.
45:28 And so
45:29 what what's striking me is that is that
45:33 the people that are going to be most
45:34 powerful with AI moving forward are the
45:37 people that are good with language. Um
45:41 it doesn't mean that having skills in
45:43 other areas isn't valuable. It is. But
45:46 people that are fasile with being able
45:49 to just think broadly about society,
45:51 about culture, about empathy
45:54 are just going to be very fasile with
45:56 these tools. And so that that was
46:00 something that that struck me today that
46:01 I I I this is the the area that I want
46:04 to start
46:07 being fully self-expressed in for me
46:10 personally, right? Not not hide from
46:13 that, not run from that. um not pretend
46:16 that it's that all AI is is
46:20 you know
46:22 is is is used in the same kind of way
46:24 that that
46:27 thinking about AI as a tool for
46:29 self-expression is what I'm all about.
46:32 So
46:35 um
46:40 because I get math doesn't make me
46:42 unempathetic. No, it doesn't. And I
46:45 would encourage you to you, you know, to
46:47 the extent that you can be um
46:51 an ambassador, a bridge to that
46:53 community, that would be great. Um and
46:57 it does, listen, it also doesn't mean
46:59 you don't have to be empathetic. You
47:00 don't have to be good with language to
47:02 be good at AI. You can be you can
47:04 approach it from a completely um you
47:07 know, code and math and structured
47:10 language kind of place. I'm not saying
47:12 one is better than the other. I'm saying
47:14 where where I'm coming from, this idea
47:17 of creative self-expression is what it's
47:19 all about. Um, okay. So, this didn't
47:24 you lost the translation
47:28 of I
47:32 create as I speak. Oh man,
47:36 that thing just crashed again. What is
47:38 going on with my machine?
47:42 [Music]
47:46 All right, let's see. Um,
47:50 between those two images
47:55 is what I want.
47:59 You should have both
48:04 Abraadabra
48:08 and
48:10 I create
48:13 as I speak
48:17 and the image shouldn't just be a
48:21 magician
48:23 but
48:25 a surreal
48:28 scene that represents
48:34 full self expression.
48:38 Uh uh uh uh uh uh
48:41 is everybody are you out there sharing
48:43 your
48:45 sharing? Money is an agreed upon story
48:49 that we share
48:51 if we stop believing money is worthless.
48:55 Yep. Um,
48:58 everything, everything is a story that
48:59 we agree to. Every brand, every company,
49:03 this is something I've thought a lot
49:04 about when I was when I was doing web
49:06 development in the in the 90s when we're
49:08 taking these big brands and building
49:10 websites for them. Did that just crash
49:11 again? No. Um, that's fine. You're fine,
49:15 Brandon. Um, when I was working on on
49:18 these big websites for the Fortune 500,
49:22 one of the things that struck me is that
49:24 a brand is just basically a promise to
49:27 the customer that all of the employees
49:30 agree
49:32 to basically tell the same story. And at
49:35 any point
49:37 they could stop telling that story. They
49:39 could just say, "This brand no longer
49:41 exists." they could literally end a
49:43 brand, end a company by just deciding
49:47 not to tell that story anymore. Um,
49:51 and I think COVID was was a really
49:54 interesting
49:56 moment in in in
50:00 global
50:02 shared narrative.
50:04 The global shared narrative was when you
50:07 work, you leave your house and you go to
50:10 a building and you stay there for eight
50:13 hours and you take a little break here
50:15 and there and then you go back to your
50:16 house. That was the narrative that we
50:19 shared globally
50:21 that overnight
50:24 like literally overnight we decided to
50:27 tell a different story.
50:30 You don't have to leave your house to
50:32 work.
50:33 And it was surreal and it was weird and
50:35 nobody thought it would work,
50:39 you know.
50:42 So wild stories is wild. Wild wild.
50:49 I can't share on the salon anymore.
50:53 What do you mean, Silver Fox?
50:56 Like you can't you can't upload an
50:58 image.
51:04 All right, these are cool. Abra
51:06 Abracadabra.
51:08 Like as I create a speak. I like this
51:10 one. All right,
51:13 we're going to download this.
51:23 That's a PNG. Okay, that should work.
51:26 All right. So, I'm going to go to the
51:28 salon. We're going to share this tab
51:30 instead. I'm going to go to irregulars.
51:33 I'm going to share a cool thing.
51:38 Yeah, Brandon, if you can help Silverf
51:39 Fox, that would be great. Haven't been
51:41 able to for weeks. Yikes. Okay. So, so
51:45 Brandon, one of the things we should
51:46 check into is I'm I'm wondering if when
51:49 we did something with
51:52 Mastermind if people's permissions got
51:55 whacked. It's possible that we screwed
51:57 some stuff up.
52:00 Um, downloads
52:03 downloads on it. Thank you, sir.
52:06 Abracadabra, as I create, I speak. Boom,
52:09 boom, boom. There was a problem. Of
52:12 course there was.
52:14 Oh, Mighty Networks. Uh, thank you for
52:16 sharing that,
52:18 um, Silver Fox. And, you know, that's
52:21 it's one of the reasons it's good that
52:23 I'm doing this tonight because it's like
52:25 we might have not have ever known that.
52:27 So, thank you.
52:30 Um, export as a JPEG to downloads.
52:35 Come back here. Grab the picture. Come
52:39 here. Na.
52:41 All right.
52:45 This is what AI is
52:50 all about.
52:52 Boom.
52:56 All right. All right. Good people.
53:00 All right. Good people.
53:02 Do I need to just go to Dolly? Mary
53:05 Mary, you can
53:07 um you can go to sora.com
53:11 if you're if you pay for chat GPT or you
53:15 can just right within chat GPT
53:18 you can just say make me an image
53:23 that has
53:25 abracadabra
53:28 and
53:30 as I wait I
53:34 create as I speak
53:40 um
53:41 in a surreal
53:46 um
53:47 Dali like painting
53:52 um
53:54 without having the antique
53:59 filter on which by the way I think I
54:02 might have heard it from Brandon today.
54:03 You know how Chat GPT's images have this
54:05 yellow tinge to them? I'd never heard it
54:07 before, but it it makes perfect sense.
54:10 People are calling it the piss filter.
54:14 So, you can tell Chat GPT to not use the
54:16 piss filter and it will make your images
54:19 less yellow. You can also just say,
54:21 "Don't give it that antique finish,"
54:23 which is what I just did.
54:27 The piss filter. Isn't that hilarious?
54:35 Oh man, Mary Mary, why does chat GBT
54:38 render images in the slow mode? Half a
54:40 year ago, it would pop them up. Uh well,
54:43 because Okay, so so just to be clear,
54:47 um the image generation in chat GPT
54:51 right now is is a completely different
54:53 model than Dolly 3. The Dolly3 model was
54:57 a standalone image generation model that
55:00 you would um
55:03 you would make your prompt in chat GPT.
55:05 Chat GPT would take that prompt, rewrite
55:07 it, and send it over to their image
55:09 model and generate an image. This new
55:12 model that's good at text and and really
55:14 good at prompt coherence is native
55:17 inside of chat GPT40 and now chat GPT5.
55:22 Um they are multimodal models. So these
55:25 images are actually being generated from
55:28 within the model itself. So
55:32 could they make it faster? I would
55:34 flipping hope so. Um why it's still this
55:38 slow is beyond me. But you know it is
55:40 that's it just is what it is man. Um but
55:43 that's why it's that's why it's
55:44 different than it was before is it's a
55:46 completely different model. Share this
55:48 tab instead.
55:53 So now I'm inside chat GPT
55:58 [Music]
56:05 I haven't used Sora Sora within chat GPT
56:08 remedial class here that's okay so look
56:11 down the left hand your lefth hand menu
56:14 Mary you should see new chat search
56:16 chats library then you should see codeex
56:20 and below codeex you should see sora
56:23 And if you click on Sora, it takes you
56:25 to a different website.
56:30 And this is where you can make Sora
56:32 videos. But if you've used Google's V3
56:37 videos, the Sora videos are just
56:39 horribly bad. They're just they're just
56:42 really bad. They're it's it's just not
56:44 good. Um that's that's another thing.
56:46 The fact that uh OpenAI hasn't released
56:49 their their more recent video model is
56:52 staggering to me.
56:56 Abra Abra cad Abra
57:01 I create as I speak
57:06 a bra cad.
57:12 I am having so much trouble with chat
57:14 GBT images. I paid $20 a month just bad
57:17 about two weeks. Yeah, it's bad. Then
57:20 I'll just go to VO. Yeah, just go to VO.
57:23 And and you know, quite frankly, if you
57:25 want if you want like good fast images
57:28 that that do good text, go to Idoggram
57:31 or even um the uh image generation
57:35 within Gemini. Gemini.google.com
57:38 is is good as well and it's pretty fast.
57:41 Um, idoggram.com
57:45 or is it.ai.
57:49 No.
57:50 Oh, wait. Hang on.
57:56 Ide
57:59 Come on.
58:02 It must be.AI. It is.AI. Ideog.AI.
58:07 Mind your tabs. Yes. Yes, sir. Yes.
58:10 producer Brandon,
58:19 our most enhanced model. So, let me see.
58:21 Um, create a surreal
58:25 image
58:28 that represents
58:31 creative self
58:33 expression.
58:36 Um
58:39 create a surreal image reference create
58:41 um and incororate
58:45 incorporate
58:47 the words
58:49 abracadabra
58:52 and
58:53 I create as I speak
58:58 um
59:00 without being overtly about magic
59:06 just self the just
59:09 the magic
59:12 of selfexpression.
59:15 Um, and then I'm going to make this a
59:17 wide image because that's how I roll.
59:21 All right. And then we're off.
59:25 So this is ideog. And then if you want
59:28 really beautiful images, use midjourney.
59:42 Oh, this is a nice one.
59:44 That's a good one.
59:47 That reminds me of Amelio's wife.
59:51 Amelio's wife sneaking in the chat
59:54 tonight. Very cool. And look,
59:55 Abracadabra is up in the sunflower.
59:57 That's cool. I create as I speak. All
1:00:00 right, we'll grab this one.
1:00:04 Um, save image as
1:00:07 desktop. Uh, abracadabra.
1:00:14 All right. And Yeah. Yeah. Yeah.
1:00:19 Yeah.
1:00:21 Yeah.
1:00:23 We're going to need you to go on ahead
1:00:24 and come on in on Saturday. Yeah,
1:00:33 [Music]
1:00:34 it's
1:00:36 also magical.
1:00:42 All right, post.
1:00:45 Boom, boom, boom, boom, boom, boom,
1:00:47 boom. Your post is live. All right,
1:00:50 let's see what we got going here. Oh,
1:00:52 beautiful. Abracadabra. Oh, that's
1:00:54 beautiful, Corey. Nice.
1:00:57 Steo.
1:01:00 Nice. Oh, who did that? Claire Jacobs.
1:01:02 Beautiful.
1:01:03 >> Sharing is caring, Kyle.
1:01:05 >> Oh, did you want me to share my screen?
1:01:07 >> Just the tab that you're on would be
1:01:09 nice.
1:01:11 >> Here, look. Nice. Corey Sandler, Steve O
1:01:17 Claire. Love that one.
1:01:23 Very cool.
1:01:25 All right.
1:01:27 People up in water cooler sharing. Nice.
1:01:31 I like it. People are sharing AI
1:01:34 standup.
1:01:35 What's up in here late per usual? We're
1:01:40 doing an AI learning
1:01:44 learning lab. Flash mob.
1:01:50 Oops. Land. AI learning land.
1:01:55 All right.
1:01:57 All right, now we can get the show
1:01:59 started.
1:02:03 I I have my little lament about not
1:02:06 being fully self-expressed.
1:02:08 We got some [ __ ] going over on AI Salon
1:02:12 and uh
1:02:16 and Brandon told us all about the new uh
1:02:19 goo Google taking over Apple.
1:02:23 I mean, there's a part of me that's
1:02:25 like,
1:02:27 don't underestimate Apple, but there's a
1:02:29 part of me like, I've been
1:02:31 overestimating Apple for a decade now.
1:02:35 So, at this point,
1:02:43 that's a nice one, Dr. J.
1:02:46 Dr. J coming in hot.
1:02:48 That's gorgeous. Nice. Here.
1:03:00 Look at that. Look how cute that is.
1:03:01 That pretty. That pretty. That Dr. J
1:03:04 doing pretty work.
1:03:07 All right.
1:03:10 New post in in irregulars. Let's go to
1:03:13 irregulars, shall we?
1:03:16 Carrying on. Yes, irregulars.
1:03:21 Back to school. Yay.
1:03:25 You did it. Yay.
1:03:28 That's awesome. MP4. Click on video to
1:03:32 watch.
1:03:36 Oh, cool.
1:03:43 Nice.
1:03:47 Very
1:03:54 cool. Very cool. Very, very, very cool.
1:03:59 All right, so here's what we're going to
1:04:00 do. We're going to start doing more um
1:04:03 collabs on the salon and get back to
1:04:06 connecting with one another because I
1:04:07 know you connect in chat here and that's
1:04:10 good, but there's something about us,
1:04:12 you know, playing with the work and and
1:04:14 you know
1:04:16 what I what I'd like to find a way to do
1:04:18 is sort of turn up the quality of the
1:04:20 work too that that it's not always just
1:04:22 rushing to do something, right? Maybe on
1:04:24 an evening. the the thing I did the
1:04:26 other night with the um
1:04:29 right was it last night the creative
1:04:31 improv thing where I I I decided up
1:04:34 front I was going to use a bunch of
1:04:35 different tools we're just bouncing back
1:04:37 and forth between them. I think we could
1:04:39 do some things in here where we could do
1:04:41 some some pretty pretty interesting work
1:04:43 together.
1:04:45 Um
1:04:49 oh yeah, here's another thing. So, I'm
1:04:52 I'm in I'm in the uh in the AI salon.
1:04:57 If you see like here's Corey Sandler,
1:04:59 right?
1:05:01 If you roll over Corey's name, there's
1:05:03 this thing here called recognize. So,
1:05:06 everyone has some amount of points that
1:05:08 they can give away. So, I've got 2,000
1:05:10 points right now I can give away. Uh I I
1:05:14 can share with others. So, these are the
1:05:16 values of the AI salon.
1:05:19 So, with Corey, I'm going to give her
1:05:21 the playful, empathetic. Oh, I can only
1:05:24 give one. All right, fine. I'll do I'll
1:05:28 do generous because Corey's really
1:05:30 generous. And I'm just going to say,
1:05:32 Corey,
1:05:34 you rock. Thank you for being such a
1:05:40 generous
1:05:43 contributor
1:05:45 to the community.
1:05:48 and then I can recognize her and she
1:05:50 gets that note and she gets a badge, a
1:05:53 generous badge. Okay?
1:05:55 So, go do that. Go and don't Here here's
1:05:59 my request. Don't don't recognize me. I
1:06:02 get plenty of recognition. Go find
1:06:04 someone else that you really appreciate
1:06:06 in the salon and recognize them. Okay?
1:06:08 Salo Silva giving gifts on Tik Tok.
1:06:10 Thank you very much. I appreciate it. It
1:06:13 means a lot.
1:06:15 All right.
1:06:17 Corey. Oh, thanks. Never never made
1:06:20 anything in Sora before. A first
1:06:23 tonight. Thanks, Kyle. There you go. Tik
1:06:25 Tok pin. Got it. Um, yeah, that's
1:06:28 awesome. I mean,
1:06:30 it's just amazing to me. There there
1:06:33 like even within chat GPT, there is so
1:06:36 much to explore. Like, you can't
1:06:39 possibly scratch the surface. It's just
1:06:42 bonkers.
1:06:44 Just bonkers. Hey, you know what' be
1:06:46 something fun to try? No, Kyle, why
1:06:48 don't you tell us?
1:06:50 So, you know how these things are good
1:06:52 at coding, right?
1:06:54 So, I'm going to share this tab instead.
1:06:55 So, I'm over here at
1:06:58 chat GPT5
1:07:04 and I'm going to say
1:07:07 I'm going to flip over to chat GPT5
1:07:09 thinking
1:07:12 and then I'm going to turn on
1:07:16 Oh, I can only Okay, no, I'm not going
1:07:18 to turn on anything. I'm go to chatgbd5
1:07:20 thinking and I'm going to say
1:07:23 I want you to create
1:07:29 an asy
1:07:32 art
1:07:38 cat drawing,
1:07:42 but I also want the
1:07:46 text
1:07:48 to be a fully
1:07:52 functional
1:07:55 Python application
1:07:58 that
1:08:02 draws Oh, this is good. Draws a cat
1:08:06 when you run it.
1:08:09 So, the text
1:08:13 makes an asy
1:08:16 art cat
1:08:19 as does
1:08:22 wait and uh and the application
1:08:28 draws a cat. All right, I think that's
1:08:31 clear, right? Okay.
1:08:34 Solo thinks I look like Philip Seymour
1:08:36 Hoffman. Thank you. I'll take it.
1:08:40 I've gotten that before. It was a little
1:08:42 It was a little awkward, you know, right
1:08:44 around the time he died. Um, people
1:08:47 would say that. I was like,
1:08:51 it's not a little too soon. But, uh,
1:08:54 he's a great actor, so I will take that
1:08:57 as a compliment.
1:09:01 Ensuring the full code is cat shaped.
1:09:04 This will be fascinating to see if it
1:09:06 can do this. Here's this is a really
1:09:08 stupid request of chat GPT, but it'll be
1:09:11 interesting to see how it does it.
1:09:17 Puke rainbows creative. Oh, Erica
1:09:19 Hannah, I'm switching platforms so I can
1:09:21 make some things on my computer. Thanks
1:09:23 for fueling my insomnia, Kyle. You're
1:09:26 welcome, Erica. Listen, this is this is
1:09:29 this is part of my job here is is to
1:09:32 prevent people from sleeping. Hopefully
1:09:34 I get you excited about something and
1:09:36 then off you go
1:09:38 for a couple hours before sleep. Um,
1:09:48 I'm not sure it can really replace
1:09:50 people if people know sales skills and
1:09:53 whatnot.
1:09:54 Um,
1:09:57 don't be so sure.
1:10:00 Don't be so sure.
1:10:03 Um, I don't know if if you've Ryan, if
1:10:06 you've talked with um,
1:10:11 let me see if I've got my iPad charged.
1:10:14 If you've talked with advanced voice and
1:10:16 chat GPT,
1:10:21 I'll play a fun little game here with
1:10:23 it.
1:10:33 So just pop this full screen Brandon.
1:10:48 Uh uh.
1:10:54 All right. Something's funky with my
1:10:55 iPad. My chat GPT is not loading.
1:11:14 Get it to sell you a pencil. Yeah, I'm
1:11:16 going to What? What is going on? What is
1:11:19 with my tech? What is with my tech
1:11:22 lately, people?
1:11:29 All right, I should be able to do this
1:11:31 inside a browser, right?
1:12:00 Come on.
1:12:19 Where?
1:12:41 I don't know what's going on.
1:12:46 Oh, okay.
1:12:48 Now it's working. Okay, we're going to
1:12:51 put chat GBT into voice mode.
1:12:56 Hey Quinn, how's it going?
1:12:58 >> Hey Kyle, it's going pretty well over
1:13:00 here. Always happy to chat with you.
1:13:02 >> Good. So, what I want you to do is I
1:13:04 want you to, you know, the classic sell
1:13:06 me a pen. I want you to take the best
1:13:08 sales practices and I'm going to be kind
1:13:10 of a douchy non-pen buying customer and
1:13:14 I want you to I want you to use all your
1:13:16 best sales skills and sell me a pen.
1:13:18 Okay.
1:13:20 >> Absolutely. I can do that. All right.
1:13:22 I'll put on my best smooth sales hat and
1:13:25 you can bring on the challenging
1:13:26 customer attitude. We'll see if I can
1:13:27 win you over to the wonderful world of
1:13:29 pens.
1:13:31 >> Yeah. How can I help you?
1:13:34 >> Ah, well, imagine this. You're holding
1:13:37 not just any pen, but the one pen that's
1:13:39 gonna make every little note you
1:13:41 >> I'm not I'm not interested in pens. I I
1:13:43 like computers. I'm good. Thanks.
1:13:46 Anything else? I'm done.
1:13:49 >> Totally fair. I get it. Computers are
1:13:51 awesome. But here's the fun part. Even
1:13:53 the coolest techie sometimes needs
1:13:55 trusty pen by their side, right? Think
1:13:57 of it as the ultimate Hey Quinn. Hey
1:13:59 Quinn. Quinn, I asked you to dig deeper
1:14:02 and sell me a pen like
1:14:05 um like like a good salesperson. You
1:14:09 know the classic story about asking
1:14:11 someone to sell a pen, right?
1:14:14 >> Absolutely I do. All right, I'll I'll
1:14:16 really lean into it.
1:14:17 >> No, no, no. Tell me tell me what the
1:14:20 secret is to selling a pen.
1:14:23 >> Ah, gotcha. All right. So, the classic
1:14:26 secret is basically to create a need or
1:14:29 a desire that the customer didn't
1:14:31 realize they have. So, instead of just
1:14:33 pitching the pen as an object, you kind
1:14:35 of turn it into something that solves a
1:14:36 problem or makes their life easier. It's
1:14:39 all about finding that angle. So, let's
1:14:40 say, you know, you're someone who loves
1:14:42 tech.
1:14:42 >> Yeah. Okay. Okay. You got it. So, now
1:14:44 now sell me. Now, act as that that
1:14:46 salesperson and sell me like that.
1:14:49 >> All right. Here we go. So, Kyle, imagine
1:14:53 this ten is more than just a pen. It's
1:14:55 actually your emergency bridge between
1:14:57 those high-tech moments. You know, when
1:14:58 your tablet's out of juice or you just
1:15:00 need to sketch an idea super quick. It's
1:15:02 like having a little creative sidekick
1:15:04 in your pocket. So,
1:15:05 >> yeah, but can I do that? Can can I do
1:15:06 that with any pen? I can just do that
1:15:08 with a big pen. Why do I need your pen?
1:15:11 >> Absolutely fair question. And you're
1:15:13 right. A big pen can write it, too. But
1:15:15 what I'm offering you is not just any
1:15:17 pen. It's a pen that's going to feel
1:15:18 just right in your hand. It's about how
1:15:20 it feels, how it glides, and it's that
1:15:23 little boost of confidence when you sign
1:15:25 something important. So, sure, any pen
1:15:27 can write, but this pen,
1:15:29 >> so
1:15:31 to assume that that's not going to get
1:15:33 better and to assume that, you know, it
1:15:36 can't
1:15:38 do a successful outbound sales call, I
1:15:40 think, is probably, you know,
1:15:43 shortsighted. So yeah, I think I think
1:15:46 that I think that every job um is is
1:15:52 going to be reimagined. And now it's it
1:15:55 may take a while, right? But here's
1:15:59 what's going to happen.
1:16:01 Outbound salespeople, if you've ever
1:16:04 tried to hire a salespeople, they're
1:16:06 really hard to hire. Anyone good, it's
1:16:08 it is a small percentage of people that
1:16:11 you hire. So what's going to happen is
1:16:13 this. If I hire a hundred outbound
1:16:15 salespeople and five of them are awesome
1:16:18 and 10 of them beyond that are good,
1:16:21 that's probably a decent percentage, 85%
1:16:25 suck, right?
1:16:29 If outbound AI agents that can call 247
1:16:33 globally
1:16:35 exceed that 15% success rate, if all of
1:16:39 a sudden it starts to be like like 30%
1:16:42 of those calls are successful rather
1:16:44 than 15% of those calls are successful,
1:16:48 why would I not do that? So I think
1:16:50 we're going to see this in every single
1:16:51 discipline. So
1:16:53 don't assume that just because it's a
1:16:56 person there. Now there may be certain
1:17:00 kinds of sales like high-end
1:17:01 consultative sales where the trust of
1:17:04 the human being is more important than
1:17:06 what they say. So it depends on the kind
1:17:09 of sales you're talking about. But it's
1:17:11 going to be more and more rare that
1:17:14 you're going to need a human being. You
1:17:16 may choose to have them, but you might
1:17:18 not need one. Is she busy Friday night?
1:17:20 I know that's kind of my girlfriend. I
1:17:22 love her. Producer Brandon, please poke
1:17:24 Kyle about save the date for AI
1:17:26 festivist 2025. Listen, I I'm still
1:17:29 going out on a limb here that it feels
1:17:31 like it should be 2026, but you know,
1:17:33 you've got your whole Jimmy Fallon,
1:17:35 Jimmy, what's his name controversy that
1:17:37 you're you're probably still charged up
1:17:39 about that. So, I'm not going to fight
1:17:41 you on on the year. All right? Just
1:17:44 because you're right mathematically
1:17:46 doesn't mean you're right from my
1:17:48 emotional state. Okay? So, just just to
1:17:50 be clear. Um, okay. Yes, Ann Murphy. So,
1:17:54 as you may remember, last
1:17:59 the the weekend between Christmas and
1:18:01 New Year's
1:18:03 this last year, I'll give it to Ann. It
1:18:05 was 2024. Um, we did this thing called
1:18:09 AI Festivist where we brought together
1:18:11 34 speakers over 24 hours. Um, it was 12
1:18:15 hours one day, then we took a 12-h hour
1:18:16 break, then it was 12 hours the next
1:18:18 day. So, it was a 36-hour stint with 24
1:18:21 hours of programming. We put it together
1:18:23 in two weeks. It was absolutely
1:18:26 remarkable. We had thousands of people
1:18:28 show up. Um I think we averaged 564
1:18:33 people per hour on average. It was it
1:18:36 was just crazy. We're doing it again
1:18:38 this year because neither an nor myself
1:18:43 are mentally stable.
1:18:45 Okay. Important to know. important to
1:18:48 know. But we're doing it again and we're
1:18:51 doing it with actual some planning. Like
1:18:53 last year, we planned it in two weeks.
1:18:55 We pulled that off in two weeks.
1:19:01 Um, but I want you to save the date. I
1:19:03 don't I don't know what the exact date
1:19:04 is, but it'll be that weekend. It'll be
1:19:06 a Friday night, like a Friday 12,
1:19:11 probably like nine to nine on Friday and
1:19:13 then nine to nine on Saturday. And then
1:19:15 I think what we'll do an I'm I'm I'm
1:19:18 making this call live here is we will do
1:19:21 an afterparty
1:19:23 for the people because what happened was
1:19:25 we got done with 24 hours of programming
1:19:28 and people were so fired up they're like
1:19:30 we want to keep going. So I think we'll
1:19:33 just we will set up the afterparty as a
1:19:36 just basically [ __ ] hang out until
1:19:39 you pass out. We'll just see how long it
1:19:41 goes and we'll we'll leave that open
1:19:44 through Sunday. I think we'll do
1:19:46 something like that. So, mark the date.
1:19:49 Here's the deal. You're going to be like
1:19:51 home with the family, right? And when I
1:19:53 don't know when Christmas falls, but
1:19:55 what's going to happen or Hanukkah,
1:19:56 whatever you celebrate, you're going to
1:19:58 be with the family and the first day
1:20:00 you're going to be like, I love being
1:20:01 with my family. They're great. And then
1:20:03 by the third day, you're going to be
1:20:04 like, I want to commit homicide. And
1:20:08 then AI Festivus will be there to save
1:20:11 you. You can excuse yourself from your
1:20:14 family and say, "I've got some work I've
1:20:15 got to do and just come hang out with
1:20:17 us." Okay, save the date. We don't have
1:20:19 the date. But you do have a general
1:20:22 broad c like someone could go find the
1:20:24 dates right now. Like a like if we had a
1:20:27 producer could find the dates on the
1:20:29 weekend between Christmas and New Year's
1:20:32 2025 would be possible.
1:20:36 Okay. Friday the 26th. Okay. So, the day
1:20:39 after Christmas, this is good. through
1:20:41 Sunday the 28th. Okay? So, we'll do
1:20:45 Friday 9 to9, Saturday 9 to9, and then
1:20:49 we'll do an afterparty that starts at
1:20:51 900 PM and goes until you insane people
1:20:54 stop.
1:20:59 I I Oh, I forgot. I have a meeting. It's
1:21:01 12 hours long. Yes. Again, the next day.
1:21:04 Exactly. Exactly. Well, and here's the
1:21:08 thing. you've got enough planning now
1:21:10 that you can you can sort of butter up
1:21:13 the family to say that they really
1:21:15 should get their [ __ ] together with AI
1:21:18 because because grandpa's about to get
1:21:19 laid off from the from the from the
1:21:22 consulting company.
1:21:26 So So grandpa grandpa might want to
1:21:29 might want to get his [ __ ] together with
1:21:30 AI and you can bring grandpa along. All
1:21:33 right.
1:21:35 Um
1:21:36 yeah, if you go to are you are you
1:21:39 readyforai.com. So so what we did out of
1:21:43 last year's festival. So the thing about
1:21:45 festivus and we're committed to doing
1:21:46 that this this year. We're figuring out
1:21:49 how to do it because this is to to run
1:21:51 this thing. There's there's a lot but
1:21:53 we're trying to get it underwritten. So
1:21:54 the whole idea with Festivus is it's
1:21:56 free. It's like 24 hours of insanely
1:21:59 good programming for free. What we did
1:22:02 was we took the content from AI Festivus
1:22:06 and we grouped it. So basically what
1:22:08 happened was people were like this
1:22:10 content so good can you turn this into a
1:22:12 training? So Ann and I together with
1:22:14 Vicky Baptiste took the content
1:22:16 organized it extracted the kind of
1:22:18 lessons that that went across the videos
1:22:23 and put together a training called the
1:22:24 AI readiness training um training
1:22:27 program. So, if you go to are you
1:22:30 readyforai.com,
1:22:32 you go to the Yeah, there you go. That's
1:22:33 it. Thank you. If you go to that URL
1:22:36 right there, um that's the training that
1:22:39 um we generated out of the content of AI
1:22:42 Festivus. All the vid videos from AI
1:22:45 Festivus are in the training. So, you
1:22:48 watch the videos and then the training
1:22:50 is not questions about the videos. It's
1:22:52 about lessons that are in all of the
1:22:54 videos. It's a it's a really amazing
1:22:56 thing. So, if you want to get your [ __ ]
1:22:58 together with AI and shift into an, you
1:23:00 know, an AI forward mindset, that's what
1:23:02 that's what's going on there. All right.
1:23:06 Thank you for that reminder, Ann. Um,
1:23:10 I am I am aspiring
1:23:13 to get onethird as good
1:23:17 at promoting my [ __ ] as Ann has been
1:23:20 lately. You've been killing it. So has
1:23:22 Vicki. Both of you are are
1:23:26 are are just killing it with
1:23:29 self-promotion and I'm really proud of
1:23:31 you and it is a reminder to myself to to
1:23:35 to have someone to aspire to. So I do I
1:23:38 got to get my [ __ ] together is another
1:23:40 way to put it.
1:23:47 Ah,
1:23:48 all right. What time is it? It's time.
1:23:52 It's time. New shares in irregulars in
1:23:56 Look what I made. Beautiful. Love it.
1:23:59 All right, let's go to look what I made.
1:24:03 And I'm going to share this tab.
1:24:06 I'm going to jump over to look what I
1:24:07 made.
1:24:09 Vicky Bat Taste. Oh, we got a video. I
1:24:13 learned a new sport while I was on
1:24:14 vacation.
1:24:19 Oh, nice.
1:24:21 Cool.
1:24:26 Love it.
1:24:30 Gorgeous.
1:24:32 I'm a huge fan of uh things that look
1:24:36 analog
1:24:37 in these uh in these models. In these
1:24:40 models.
1:24:43 All right. Good people.
1:24:45 All right. Good people. Listen.
1:24:49 Listen. I'm going to get out of here.
1:24:52 Um,
1:24:57 so we're going to start ex expect over
1:25:01 the next few weeks we're going to start
1:25:03 getting more collaborative in here and
1:25:04 I'm going to start pushing you to be
1:25:06 more collaborative in the AI salon. Um,
1:25:09 I I want to I want to spin the energy
1:25:11 back up in the salon
1:25:14 um in in the uh in the online community
1:25:18 um for for a whole bunch of reasons.
1:25:22 Um but but primarily because
1:25:26 we deserve all of us deserve
1:25:29 um to be connected with people that are
1:25:32 up to some stuff and doing cool stuff
1:25:34 and sharing that cool stuff and that'll
1:25:36 inspire us to do stuff and share stuff
1:25:38 and um and uh I just want to turn the
1:25:41 heat up on that again. So I'm really
1:25:44 excited about that black bar. Um, so
1:25:47 tomorrow, so, um, Rick McCaulay, who's
1:25:50 been in the in the comments on YouTube,
1:25:53 is, um,
1:25:57 is putting together a pre-show podcast,
1:26:01 uh, a pre-show for this show, I think,
1:26:04 is the way is the way I think it's put
1:26:06 together. And producer Brandon is
1:26:08 joining Rick McCaulay on that podcast.
1:26:11 So, for the two hours before this starts
1:26:14 at 1000 p.m. Eastern, is that right?
1:26:19 >> Yep. Yeah. 8:00 PM Eastern starting. We
1:26:22 you start at 10, we start at 8. And so,
1:26:24 uh,
1:26:25 >> so you're going to start at 8. And then
1:26:26 how do how do the good people find you
1:26:28 guys?
1:26:29 >> Yeah. Uh, so if you follow me or Rick on
1:26:31 LinkedIn, we'll we'll give you the
1:26:32 details. It's going to be on Rick's
1:26:33 YouTube starting in a week, but we still
1:26:36 got to figure out
1:26:37 >> Can you make an event in the salon or is
1:26:39 that
1:26:40 >> Yeah, we'll we'll promote it in the the
1:26:42 non salon events and also regular
1:26:44 channel.
1:26:45 >> Okay, good.
1:26:45 >> Um, but here's the thing. So, tomorrow
1:26:48 we're on Zoom and the reason we're on
1:26:50 Zoom is because we have to figure out
1:26:52 like timing, marking, we have to, you
1:26:54 know, figure out camera angles and, you
1:26:56 know, this is going to be the
1:26:58 behindthescenes preview of what the show
1:27:00 is going to be. So, if you want to help
1:27:01 shape the future of what Rick and I are
1:27:03 doing, I I joking producer Brandon got
1:27:06 his own spin-off. Um,
1:27:08 >> Exactly.
1:27:09 >> Um, while I'm up here, uh, real quick,
1:27:12 uh, people are asking about your ask
1:27:15 before you leave.
1:27:17 >> Good question.
1:27:24 Print docscript
1:27:26 save ascat.py pi.
1:27:32 Oh, but it's just basically printing an
1:27:35 asky cat. That wasn't what I wanted it
1:27:36 to do. Oh, I can't see it. Look, this
1:27:41 this isn't what I wanted it to do. So,
1:27:44 so what it did Okay. Okay, chat GPT,
1:27:47 you're a bit more of a smartass than I
1:27:49 anticipated. So, it basically made an
1:27:52 asky cat and then basically just said,
1:27:54 "Print that. Print that to screen.
1:27:58 You can't see it. You can see it a
1:28:00 little bit, right? Yeah, you can see it
1:28:01 a little bit. Um, so here's what I'm
1:28:05 going to do. I'm gonna say, um, that is
1:28:08 a copout.
1:28:13 What I wanted
1:28:17 was
1:28:18 the cat itself
1:28:21 to be
1:28:23 written in
1:28:26 Python code
1:28:29 that also was formatted
1:28:34 organically to look like a cat.
1:28:40 And
1:28:43 And then the code
1:28:48 generates a cat picture,
1:28:53 not
1:28:55 just reprint the asky
1:29:00 cat you made.
1:29:02 So, let's call it a Python code cat
1:29:10 that also generates
1:29:14 a cat
1:29:16 with the same
1:29:19 Python code. Um, so let's see if it'll
1:29:22 do that. But
1:29:26 it did make a nice asky cat.
1:29:30 You know, one of the things that um
1:29:33 that these large language models didn't
1:29:35 do very well for a long time was ASI
1:29:38 art. That's a pretty good ASICAT.
1:29:45 I'm the comedian to your Rolling Stones
1:29:47 at Kyle. That's great. Yeah. No, it's
1:29:49 it's very cool. And Side Hustle Mimi uh
1:29:51 actually admitted she wasn't she hasn't
1:29:53 been super active in the salon. That's
1:29:55 okay. Listen, listen. I online
1:29:57 communities are weird and we kind of e
1:29:59 eb and flow in and out of them. And and
1:30:01 one of the things one of the things that
1:30:03 made the salon,
1:30:05 you know,
1:30:08 an active place to begin with was there
1:30:12 was a there was a lot of back and forth
1:30:13 between this channel and the salon. And
1:30:15 I think I just want to start pushing
1:30:16 that again. And I also want to start
1:30:19 part of why what I was talking about
1:30:21 about putting myself out there more is
1:30:23 talking more about about the things I
1:30:26 do. Like I wanna I want to grow this
1:30:28 channel, the AI learning lab. Um I want
1:30:32 to grow the viewership of this live.
1:30:34 Like we have a lot of fun here, but
1:30:37 I want to get different people in here
1:30:39 and and including you, but new people on
1:30:42 a regular basis. And the only way to do
1:30:44 that is to sort of get the word out and
1:30:46 be active in a bunch of different
1:30:47 places. So that's that's part of where
1:30:49 this is coming from. Um I just joined
1:30:52 the actual salon tonight because I kept
1:30:54 forgetting. Beautiful. Love that. Um
1:30:56 okay, response. You wanted the source
1:31:00 itself to look like a cat and the
1:31:02 program to generate a cat without just
1:31:04 paring a doc string. So, here's a single
1:31:06 Python file where the top of the file is
1:31:10 visually a cat embedded as a harmless as
1:31:13 harmless
1:31:14 literal.
1:31:16 So, the code still runs.
1:31:21 Uh, it still doesn't get it.
1:31:26 [Laughter]
1:31:29 Okay. Um, I will call this a failure.
1:31:39 and pick up with you. Pick up
1:31:45 tomorrow.
1:31:51 [Laughter]
1:32:02 I'll do that tomorrow. Brandon,
1:32:06 [Applause]
1:32:07 all right, I'm going to get on out of
1:32:09 here.
1:32:10 Um,
1:32:12 all right. I hope you had a good time
1:32:14 tonight. Um,
1:32:17 and I have hair in my eye. Yeah, go go
1:32:22 go connect with one another. So, the
1:32:23 whole point of the song is not just to
1:32:25 post [ __ ] Um, start to connect with one
1:32:28 another, right? Connect with one another
1:32:29 in between this thing here. talk about
1:32:32 projects you're working on. Talk about
1:32:33 ideas you have. Um,
1:32:41 I can only think that as as we go into
1:32:44 the holiday season and kind of emerge
1:32:47 into 2026,
1:32:49 um,
1:32:51 if I look at 2025 as that was the year
1:32:55 that large language models got real.
1:32:57 This is the year that large language
1:32:58 models got real. I think 2026 is going
1:33:01 to be when large language models got
1:33:03 good enough that they actually start
1:33:05 disrupting work. Depending on which um
1:33:09 which news article you read, um AI is
1:33:11 already disrupting work, but I think
1:33:13 2026 is where we really start to see it
1:33:16 happening in in bigger numbers. And and
1:33:19 so what that means is now's the time to
1:33:21 get connected in community and start to
1:33:23 build those relationships because we're
1:33:26 going to have to get entrepreneurial and
1:33:28 and do things like that if if we get
1:33:30 disrupted. And so um the more the
1:33:34 marrier is the way I think about it.
1:33:36 Martin and Ston and Tom Weights with a
1:33:38 spike of Linda Ronstat. Nice.
1:33:41 All right.
1:33:44 Open source. Thank you so much for the
1:33:50 uh diff hustle mimi. Oh, Brandon. Yeah.
1:33:53 Yes, exactly. Thank you everyone. Thank
1:33:55 you everyone. Um from producer Brandon
1:33:58 to Vicki to mods on Tik Tok to everyone
1:34:01 commenting. Um
1:34:04 I love that this is a lively place and
1:34:07 uh
1:34:08 and let's let's let's make it more so.
1:34:11 All right, Griby. Um,
1:34:15 anything else? I don't think so.
1:34:19 No. I'll see you tomorrow night at 8:00
1:34:21 PM. Same bat time, same bat place.
1:34:25 Later.