9/16/2025 - Exploring AI Tools for Creative Expression: A Journey Through Music and Storytelling

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Transcript

0:08 [Music]
0:15 [Applause]
0:19 W Gra desperately heading his old place.
0:23 Dream to discover a new space. build
0:26 himself alive
0:29 inside his basement to side of his
0:33 basement. He's working away on
0:35 displacement.
0:37 What would it take to survive?
0:42 Cuz when you don't cuz when you're done
0:45 with this world,
0:47 [Music]
0:50 you know the next is up to you.
0:52 [Music]
0:55 And for once in his life
0:59 he was tired
1:03 as he learned how to turn with the t.
1:09 [Music]
1:10 This guy was a flare when it came up for
1:13 air
1:16 [Music]
1:23 dramat.
1:24 Data.
1:26 [Music]
1:46 [Music]
1:52 Hey,
1:58 [Music]
2:05 [Music]
2:07 hey, hey.
2:09 [Music]
2:27 Hey, if you I listen I know that one of
2:31 the things that I hear all the time from
2:34 you
2:35 is
2:39 I wish I had another place in the Google
2:41 ecosystem where I could use V3. I I know
2:45 you're always thinking like if only
2:47 there were yet another playground that
2:50 had a completely different interface
2:52 that I could make videos with. Like
2:54 imagine if it was like incorporated into
2:57 like Google Docs. Like why not? Wouldn't
3:01 that be cool? I This is what I know you
3:04 ask for nightly. And night after night
3:07 after night I'm like people Google's not
3:10 made of engineers. They can't just spin
3:13 up random websites that do the exact
3:15 same thing as the seven other websites
3:17 they launched in the past three weeks.
3:28 Yeah. Yeah. There's a whole new [ __ ]
3:31 website.
3:36 Whole new [ __ ] interface.
3:39 [Laughter]
3:40 [Music]
3:42 And here's here's what I know. Here's
3:44 what I know. You're going to be like,
3:45 "Hey, Kyle, how do you use it?"
3:48 I don't know. Producer Brandon just
3:51 dropped it on me. He's he's like, "Go to
3:53 this stupid URL." I'm like, "Well,
3:55 that's fake. It's turns out it's a site
3:58 that's not fake. Looks fake. It's not."
4:07 And and now all of you are like, "Well,
4:10 Kyle,
4:12 do your thing."
4:15 [Music]
4:32 Um, so yeah, we can go look at that.
4:40 I
4:43 [Music]
4:54 don't know.
4:58 [Music]
5:11 [Applause]
5:12 [Music]
5:18 [Applause]
5:20 [Music]
5:21 [Applause]
5:21 [Music]
5:39 Through blue telescope,
5:42 looking at the world tonight through
5:45 blue telescope.
5:48 I wish I may wish I might not see what I
5:52 see.
5:53 She fed all sheets of ice.
5:57 [Applause]
5:58 [Music]
6:01 Looking through this blue telescope
6:05 down a moon struck a road tonight.
6:11 [Music]
6:16 Um,
6:20 what else are we going to do? I don't
6:22 know. My TikTok got hacked. Good news, I
6:26 have 3,000 more followers. I'm picking
6:28 them off one by one. Oh my god. I'm so
6:31 sorry, Silver Fox. But if you start
6:33 trolling us tonight, we'll know what's
6:35 going on.
6:37 Silver Fox goes from being poetic to
6:40 being obnoxious.
6:44 Oh, you you think you're an AI expert,
6:46 do you? Oh, yeah. Show us your
6:49 qualifications. Did you go to MIT? Are
6:51 you a Stamford mathematician? Then what
6:54 are you even doing here? You have no
6:56 right talking about artificial
6:57 intelligence if you're not a TensorFlow
7:00 optimizer.
7:03 And that's just Pate talking to me. You
7:06 know, you understand how it is. It's
7:08 It's rough up here. It's rough up here.
7:11 I got the artists calling me a
7:13 talentless hack. I got the technologist
7:16 calling me a talentless hack. I got my
7:19 wife calling me a talentless hack. Wait
7:21 a minute.
7:26 [Music]
7:31 I'm lowkey evil.
7:36 [Music]
7:50 You call that guitar playing? The
7:53 musician's calling me a talentless hack.
7:56 Like, what is the what's the thread
7:58 here? What's the through line?
8:01 But I still think I'm talented.
8:06 I
8:17 There there was a time not so long ago.
8:24 [Music]
8:34 [Applause]
8:40 [Music]
8:44 Every time I say it now, get that look
8:48 in mine.
8:49 [Music]
8:50 Every time I see your mouth, I hear that
8:54 smile.
8:58 Am I supposed to turn on my autotapper
9:00 for this? Don't waste your autotaps on
9:03 this. No. No. This is I want you getting
9:07 actual carpal tunnel. You should be
9:09 tapping the heart button like a little
9:12 mad demon.
9:15 It hurts. Keep going, Sally. My grandpa.
9:20 I can't go any faster.
9:28 [Music]
9:30 Oh, good lord. Good lord. Good people.
9:35 Never a dull moment here at the AI
9:37 learning lab. Welcome. My name's Kyle
9:39 Shannon if you're new here. Anybody new
9:41 here? Nah, this is all oldies. 19
9:43 people. This is We all know each other.
9:47 [Music]
10:06 Isn't music weird? Like this chord on
10:08 its own
10:11 sounds wrong, but if you put it in this
10:13 sequence,
10:15 [Music]
10:20 it sounds great.
10:24 [Music]
10:32 What's up, K Wolfman Clint? Haven't seen
10:36 you in a while. I actually saw you
10:37 Wolfman Clint. I was on I was on the Tik
10:40 Tok and I'm flipping through the Tik Tok
10:42 and there's some live there, some dude.
10:46 And he's like, "Hey, Wolfman Clint." And
10:48 I'm like, "Wait, is that the Wolfman
10:50 Clint I know?" And sure enough, I look
10:52 up, there's your little logo. You were
10:54 in some live session with some dude.
10:58 I didn't stick around. I had I'm busy. I
11:01 had like other Tik Toks to view. Like
11:04 can't just stick around on these Tik Tok
11:06 channels. I mean, unless you do. No
11:10 judgment.
11:11 [Music]
11:20 YouTube question.
11:23 YouTube user. Hey, Kyle here. New here.
11:26 Loving the music. Great. So, just to be
11:28 clear, this is not a music channel. I'm
11:31 glad you're liking it. The the music is
11:33 really just as as I get the channel
11:35 warmed up to get into my live. It's
11:37 really just to allow people to sort of
11:38 get in and get settled. You know, heat
11:40 up your nachos in the air fryer and
11:42 things like that. Um, all right.
11:46 Hey, Kyle, how's your script coming
11:47 along? The the musical. So, really,
11:50 really good. Um,
11:53 so couple of things. Um,
11:57 I was in San Francisco recently,
12:00 went to a birthday party for a dear
12:02 friend and I met this remarkable woman
12:05 who's just like, you know how sometimes
12:07 you meet people and they're just like,
12:10 "Holy [ __ ] she's one of those and just
12:14 like really cool career, just [ __ ]
12:16 brilliant, centered, strong, like
12:21 killer energy. Well, she knows a lot of
12:24 people, so um
12:28 so we're talking about doing something
12:30 together and then I told her, "Oh, by
12:31 the way, I have a musical, too."
12:34 She's she's like, "Who are you?" Um and
12:38 I said it was a musical about AI. And uh
12:40 she's like, "Okay, that's intriguing."
12:42 And so we we met about it two days ago.
12:45 Yeah, two days ago. And uh she really
12:49 dug it. She's like, "This is really
12:50 good." So, um, so we'll see.
12:56 So, so, so we ain't dead yet.
13:00 [Music]
13:03 I actually was thinking tonight,
13:15 I was thinking the other day when I was
13:16 talking to her cuz she was she was like
13:18 asking me the origin story and I told
13:21 her I told her about this channel and
13:24 and it it was March 18th, 2024 when when
13:29 I made that song that I was like, "Holy
13:32 [ __ ] this needs to be a Broadway
13:33 musical." Um,
13:36 and I found that video, I found that
13:38 moment and I was thinking I need to put
13:40 together like a a PowerPoint
13:42 presentation
13:44 that is that shows all of what we have
13:46 cuz we've got a lot we like the musical
13:49 was a lot farther along than she thought
13:51 it would be.
13:55 [Music]
14:08 [Music]
14:12 [Applause]
14:13 [Music]
14:21 [Applause]
14:23 All right, enough comedy. any jokes.
14:27 I saw an amazing I saw an amazing Tik
14:30 Tok today. It was this this young woman
14:34 on Tik Tok and she's like, "Did you know
14:37 that Steve Martin is like a well-known
14:40 comedian? I just thought he was a banjo
14:42 player."
14:46 She discovered Steve Martin through his
14:48 banjo music and has been a huge fan of
14:51 his banjo music and just discovered he
14:54 used to make jokes.
14:59 I [ __ ] love young people. Although it
15:02 does make you feel [ __ ] old. What
15:04 else did I hear? I heard another thing.
15:06 Someone didn't hadn't heard of something
15:08 like how have you not heard of that? But
15:10 whatever. It's like when you're old,
15:14 you're old, man. I remember the first
15:16 time I actually felt old. It was
15:18 probably 1997.
15:22 And I was in with a group of people at
15:25 agency.com
15:28 and
15:29 we were talking about culture and things
15:32 like that. And I said, "Agency.com, you
15:35 know, it's like
15:38 I said, it's it's it's like it's it's
15:42 about the people. It's like Soilent
15:44 Green
15:46 just [ __ ] crickets. People just
15:48 stared at me like, "Huh?"
15:52 It's like, you know, the movie where
15:55 they made food out of PE. No, no one. No
15:58 one. That was that was that was that was
16:02 the first in a series of uh moments in
16:04 my life where I'm like, "Oh yeah, you're
16:07 old." Then it'll happen more and more.
16:09 Exactly. It just keeps going.
16:15 Oh man, I don't know where to begin
16:17 tonight. I don't know where where to
16:19 begin. I guess we could begin with this
16:20 Google thing. Th this is like th
16:26 it's impressive as it is annoying.
16:29 like like the company is so big
16:33 that that they're literally spinning up
16:35 competing products using the models they
16:39 developed. I I don't know.
16:42 It's
16:48 I mean I guess that's another sign of
16:50 being old because it's like if you
16:52 remember when Google was born it was
16:54 like a young scrappy startup and it's
16:57 just a big old corporate fart monster
17:01 now. It's like, you know, it's just like
17:04 it's just like a a couple of uh, you
17:07 know, bad meetings away from being
17:09 Microsoft.
17:12 Which, by the way, I I think I talked
17:14 about it here. Did you hear that Elon
17:16 Musk,
17:18 is that Thunder? That must be Thunder.
17:20 Elon Musk is is spinning up a new
17:23 company inside XAI called Macro hard,
17:27 which is which is a troll on Microsoft,
17:30 but it's basically he thinks that he can
17:33 recreate Microsoft, the entirety of
17:36 Microsoft with AI agents.
17:39 Absolutely crazy. I remember the film. I
17:42 think we kind of liked it. Breakfast at
17:44 Tiffany's.
17:47 Is this being generated by AI right now?
17:49 Yeah, exactly. I'm I'm I'm I used to
17:51 make the joke I was Chad GPT5, but it's
17:54 out now. And it's it's not as good as
17:55 me, let me tell you that
17:59 on the stupid comedy parts. All the
18:02 other stuff, it's way better than me.
18:04 But the stupid comedy still got that
18:06 [ __ ] locked down.
18:15 I don't know what to say, people.
18:20 Oh man,
18:24 I missed the Google thing. What's the
18:26 headline? Oh, okay. So, here's the
18:27 headline. If you go to
18:30 vidsvs.new,
18:32 [Music]
18:35 just go there right now. Type it into
18:37 your little internet machine and it's
18:40 going to take you to
18:42 this here place.
18:47 Mm-
18:55 um
18:59 it's like a whole
19:02 and then and then notice the URL
19:04 redirect. So it redirects to
19:06 docs.google.com/videos
19:10 black bar. Yes, sir sir. Yes, sir. So,
19:12 listen. Producer Brandon told me he was
19:14 going to be busy launching a product
19:16 tonight and he wouldn't be able to be on
19:17 the black bar thing. I [ __ ] I [ __ ]
19:20 miss putting the black bar up for like
19:22 three seconds and he's like, "Black
19:24 bar."
19:26 I appreciate the attention, producer
19:28 Brandon. I really do. It's good for the
19:31 people. Um,
19:34 so this looks like, as far as I can
19:37 tell, this looks like a full-on
19:40 web-based nonlinear editor that has VO
19:42 built into it. So you can arrange things
19:46 and and it and this lives within Chat GP
19:49 or within Google Docs. And so like if
19:51 you click on for example uploads,
19:56 all of these uploads here are files off
19:58 my Google Drive.
20:03 I don't know why I can't. They've got
20:05 their thumbnails all [ __ ] up.
20:08 But um
20:11 but holy [ __ ] it's like it's like fully
20:13 integrated into Google Docs. So all my
20:16 media that's there is there. And then I
20:19 guess I can just take
20:23 Wait, those are the wrong aspect ratio.
20:25 Let me go grab
20:28 I think these are just images.
20:36 All right. So, there's a dude. So, let's
20:38 let's turn let's ve him. How do I ve
20:41 him? Oh, here we go. Um,
20:47 this young
20:49 man
20:53 says,
20:56 "Dude,
20:59 it's like
21:03 I mean,
21:09 um, what is
21:12 soilent
21:14 green.
21:18 You're weird, old man.
21:23 All right.
21:25 Oh, but it says plus image. Upload an
21:27 image. Is it going to let me?
21:30 Wait, can I do this here? Edit image.
21:34 Animation.
21:37 Format. Let's see.
21:40 Format options. Animation.
21:45 How do I
21:47 I'm so confused.
21:50 All right. Well, let me create that and
21:51 see what it does. I think it's just
21:53 going to make a fake a fake kid. It's
21:56 not going to do my kid. I want my kid. I
21:58 want this kid.
22:01 This is one of our new uh we we we I
22:04 just created 60 AI avatars uh for Story
22:07 Vine for our our nonprofit product. And
22:11 this is one of them.
22:15 Um,
22:17 you can close this panel. We'll let you
22:18 know when it's done.
22:24 Format scene arrange tools
22:28 arrange. And listen, I know if you're
22:31 new here, listen, you're new here.
22:32 You'll be like, why is he demoing a
22:34 product he doesn't actually know how to
22:36 use? Wouldn't it be more prudent if he
22:39 actually took the time to learn the
22:41 applications before he tried to teach
22:42 us? I mean, this is called the AI
22:44 learning lab and I came here to learn
22:47 and I would expect that my instructor
22:48 had some semblance of competence when it
22:51 comes to application education.
22:54 Yeah, but that's not this channel.
22:58 You see what I'm saying?
23:01 It's a different kind of education. All
23:03 right. No, that's a totally different
23:06 dude.
23:06 >> Dude, it's like I mean what is Soylent
23:10 Green? You're a weird old man.
23:13 >> Dude, it's like I mean,
23:17 >> can I Dude,
23:19 dude,
23:20 >> shut up.
23:22 I want to I want this to be in VO. Can I
23:25 do that?
23:27 Can I
23:30 show timing? How do I make him talk?
23:37 animation. No. Although the animation's
23:40 kind of cool. Like you just click on
23:42 these things and it zooms in and zooms
23:43 out. Slide left, slide right. It's just
23:46 inventing itself. Oh, you can make it
23:49 breathe.
23:50 Zoop zoop zoop zoop.
23:55 Zoom out fast. Zoom in fast.
24:00 Nothing. Loop.
24:03 Flicker,
24:05 hover,
24:08 fade.
24:13 Huh? Wiggle.
24:18 Yeah, this is like a fullon
24:22 Canva
24:23 Canva attack.
24:25 [Laughter]
24:30 Um, VO edit prompt.
24:35 Continue.
24:39 Inspiration plus image.
24:42 Create content from images. Agree. I
24:45 won't use a bad image. But but now I've
24:48 got to go to my desktop. Oh, you're not
24:49 seeing that. It It popped up my desktop
24:52 thing. So, can I I can't go to these
25:02 I'm so confused.
25:18 Crop image. Copy.
25:20 Let me go here. Go new.
25:25 Oh, maybe I'll put this dude in. Let's
25:27 let's make one of these plus.
25:30 So we'll go um a i
25:36 contains ai.
25:39 Is this my new
25:53 extended
26:01 All right, we'll we'll do that one.
26:12 A man with a large allseeing
26:17 eye
26:19 talks
26:20 makes a joke.
26:24 makes a joke
26:26 about dry eye.
26:31 Let's see how Vio, let's see how you do
26:33 here. All right, this should be good.
26:36 Um, any questions? Any thoughts? Like I
26:39 know I know watching this must be read
26:43 the [ __ ] manual. No, never. Never. I
26:47 will never read the manual. Never. And I
26:50 could go systematically through the uh
26:52 through the menu items, but that just
26:55 seems like learning. I'm here to play.
27:01 Um
27:03 I I'm really just I I'm a little
27:05 flabbergasted by this that they have
27:07 this they just sort of dropped this tool
27:10 that's like they made a really big
27:13 production out of
27:15 video.google, Google,
27:18 which is the
27:20 video editor that they created for
27:22 filmmakers that had early access to VO3.
27:26 And so I assumed,
27:30 you know what happens when you assume? I
27:32 assumed
27:35 they would
27:37 keep developing that. They haven't. It
27:40 hasn't changed a bit.
27:43 Oh, flow.google. That's what I meant.
27:45 Flow.goo. Google. What did I say? I said
27:47 something else. But flow.goole. If you
27:50 go to flow.google, that's a shitty
27:53 version of this. Well, it's a it's only
27:56 for stitching video clips together.
28:00 All right. So, let's
28:01 >> my athomeologist.
28:03 >> Insert.
28:10 Play.
28:12 I said, doc, it's the only one I've got.
28:19 My opthalmologist says I have dry eye.
28:23 I said, "Doc, it's the only one I've
28:25 got.
28:32 [Laughter]
28:36 Oh my god. People, people, people,
28:39 people. What are we going to do with the
28:42 [ __ ] internet?
28:44 Everyone's a [ __ ] comedian.
28:48 Everyone. Yes. All right. Format. Um,
28:53 can I turn this into a six a 9 by6
28:56 video? Probably not.
29:03 View. Insert. Format.
29:07 Scene.
29:10 Tools.
29:12 Notification settings. No. How do I
29:23 [Music]
29:24 [Applause]
29:32 background
29:34 AI video clip uh
29:38 tools?
29:42 Yeah, this is this is a fullon
29:45 [ __ ] video editor. It's unbelievable.
29:54 My opthalmologist says I have dry eye.
29:57 I said, "Doc, it's the only one I've
30:00 got."
30:07 Okay, whatever.
30:12 Okay, I can't I can't anymore. I just
30:14 can't I can't do it. I can't
30:19 I can't do it.
30:21 Get in my belly.
30:27 Like we're probably at the point now
30:30 where if you're like you make an Austin
30:32 Powers joke, people are like, "What?
30:38 Who? Who's Austin Powers? Is that He's
30:41 like from Austin, Texas." No.
30:45 You know,
30:47 two block Tom. What is this? This is
30:50 Well, here's what's funny. This is a
30:52 channel that purports to be about
30:54 education.
30:59 Isn't that hilarious? Fantastic.
31:02 Fantastic. No, seriously. Uh, people
31:05 come from all over. They come from We've
31:08 got people that come from the other side
31:09 of the world. They come from Australia
31:10 to learn
31:13 Never taught a thing.
31:15 Jokes on them.
31:24 Oh, behave
31:26 from Texas.
31:28 [Laughter]
31:31 Oh my god. Tell them what they've won.
31:35 Um,
31:37 so there's a new version of Gamma out.
31:41 Like some other news today, like here
31:42 here's one that's actually really really
31:45 important and powerful
31:48 if it works
31:51 is that Google today announced
31:55 a a payment protocol
31:58 for MCPs.
32:01 And if you're like, wait, what what are
32:03 MCPS?
32:05 So MCP stands for model context
32:07 protocol. And it basically is sort of
32:09 like a a weird kind of API on top of an
32:12 API that lets you have your large
32:16 language model talk to a website. And so
32:19 what Google came out with today is a
32:22 payment protocol
32:24 that so you can basically say to your
32:26 large language model, hey, go to that
32:28 thing and buy a thing and probably use
32:32 your Google wallet to to make that
32:35 transaction without having to do any
32:37 programming, without having to do any
32:38 integration, right? That's like it's
32:40 just shit's just going to work. all the
32:43 MCP stuff. If you don't know what it is,
32:46 if if you do know what it is, but
32:48 haven't tried it yet, don't worry. It's
32:49 all just it's all still janky pieces of
32:52 [ __ ] If you're a developer, go learn
32:54 it.
32:56 But but us us non-developers, we don't
33:00 need to
33:02 knowing that it exists is is cool
33:04 because what's coming is cool. You're
33:07 going to be able to have your chat GPT
33:09 go talk to any any website easily. Um,
33:12 it's just we don't really have
33:13 applications for that yet.
33:15 Um,
33:19 trying to think what else. A new Gamma
33:21 came out, which is the new which is the
33:24 uh like the presentation creator. That's
33:27 really good. Gamma 3.0 came out. So, I
33:29 figure we'll go play with that a little
33:30 bit.
33:31 Um,
33:34 worth $1 million.
33:41 Oh yeah, this is a fun one. I'll tell
33:42 you a fun one.
33:45 So on this here channel
33:49 tonight's Tuesday, not Monday.
33:52 Probably Thursday of last week.
33:57 Oh no, no, it was earlier than that. So
34:00 maybe the week before. Anyway, whatever.
34:03 It doesn't matter. on this channel.
34:05 I was asking Chat GPD to come up with a
34:09 like 20 side hustles that didn't require
34:12 much investment, right, to get going,
34:15 just to see what it came up with. And
34:17 one of the things it came up with was a
34:20 photography walk. And I used to be a
34:23 photo I am a photographer, but I just
34:25 haven't taken pictures in a long time
34:26 because I've been obsessed with this AI
34:28 [ __ ] And
34:31 so I thought, "Oh, that's kind of cool."
34:32 And then like what immediately hit me is
34:36 I've had some really amazing moments
34:37 where I've been out just with my
34:41 my iPhone and I take a picture of
34:44 something and then I I drop that picture
34:46 straight into chat GPT and I I do
34:48 something. I make some art out of it or
34:50 I import it into MidJourney or you know
34:52 do something like that.
34:54 And so I came up with this concept of a
34:56 prompt walk. And a prompt walk is like a
34:59 photo walk with AI lessons. And so, you
35:03 know, you go to a location, you take all
35:05 your pictures, and now we're going to
35:06 turn them into Renaissance paintings.
35:07 Now we're going to turn them into
35:08 stained glass cathedrals. Now we're
35:10 going to turn them into portals to
35:11 another world. Now we're going to turn
35:13 them into poetry or, you know, get the
35:15 backstory or whatever it might be. And
35:18 that was pretty cool. And so I called it
35:20 the 303 prompt walk.
35:22 And in in the AI salon mastermind, um
35:26 I'm co-hosting a um a 4-week prototyping
35:32 sprint with Cindy [ __ ] So Cindy [ __ ] um
35:35 heads up the the prototyping club inside
35:37 the AI mastermind. So the AI mastermind
35:40 is a subscription level of the AI salon
35:43 and it's 20 bucks a month and you get
35:44 access to all the clubs and all all the
35:46 stuff that we do within the mastermind.
35:48 So you get access to this this thing
35:51 And so the four-week sprint that we're
35:53 in, we had our second meeting today. The
35:54 four-week sprint that we're in is to
35:56 make a micro course. And so I've been
35:59 using the sprint to make a micro course
36:02 about the 303 prompt walk. And then
36:05 today at my office,
36:08 someone who's got some sort of Denver
36:11 business networking group was hosting a
36:14 speed B2B networking event.
36:19 And I'm normally too busy to go to those
36:21 those things, but it was literally right
36:23 around the corner from my office and
36:24 they had free sandwiches. And so I'm
36:26 like, "Free food ain't bad." And I'm
36:29 like, "Please don't have this be just
36:31 like financial advisors and HR people."
36:34 And sure enough, I introduced myself and
36:36 they're like, "Ha."
36:38 And then um financial adviser, financial
36:42 advisor, um HR person, financial
36:45 adviser. Uh so so they just went down
36:49 the line and then like this guy on the
36:51 very end of the thing his business is he
36:55 does in-person walking tours in Denver.
37:01 Um it's it's his whole business and he's
37:05 got he's got all these people that do
37:07 these walking tours for him.
37:10 And so I met him. We we did our little
37:11 speed networking thing. I said, "Funny
37:13 you should be here because I just came
37:16 up with this this thing called the the
37:17 303 prompt walk." And I told him what it
37:19 was. He's like, "That's really cool."
37:22 So,
37:24 of of all the people to be there and and
37:26 like I I so
37:29 like I I actually had a meeting at that
37:31 time that canceled 15 minutes before and
37:34 then I was going to not go to that thing
37:36 and I'm like, "Ah, don't be a wet
37:37 blanket. Just go to the networking
37:39 event." And then I meet a guy that's got
37:42 a walking tour business. So maybe I'll
37:45 get my marketing handled for me.
37:49 How was the food? It was dry sandwiches.
37:52 It was not the most inspired menu.
37:56 Um,
38:01 they have bottled water,
38:03 dry roast beef and ham sandwiches
38:08 with wilted lettuce.
38:13 And it was that bread that was so thick
38:15 you can't bite through it. So, you got
38:16 to take like one half of it off. And
38:18 then you're trying not to put your hands
38:20 all over the tomatoes and lettuce that's
38:23 all wilted.
38:26 But other than that,
38:29 it was good.
38:31 But it was, you know, was it was it was
38:33 a it was a fun event. They were nice
38:35 people.
38:36 Um,
38:42 all right. We come for the hair. Oh,
38:44 how's the hair doing tonight? There you
38:46 go. Yeah. See,
38:48 it's it's not too bad. It's behaving
38:51 itself.
38:52 Um,
38:54 I guess let's go play with gamma. Let's
38:56 go play with gamma. Gamma. Gamma.
39:13 Anybody have any questions about AI,
39:15 future of work, anything? Um, hair
39:18 management. Hair product management.
39:23 I could have done better on the menu
39:25 than that. Geez.
39:28 On what? On that site. Yeah, that site
39:31 was pretty bad. Wait, why is my Tik Tok
39:34 frozen? I see.
39:40 Gamma app. Yeah.
39:45 Mhm.
39:46 [Music]
39:51 All right. It didn't spin me off to a
39:52 new thing. Great. All right.
39:56 [Music]
39:58 Great.
40:02 >> Oh, hey. What's up? We started Gamma to
40:05 make it easy for you to share your ideas
40:07 visually because the old way of creating
40:09 presentations, well, sucked.
40:12 staring at the blank page and formatting
40:14 slides for hours. We all hated it. So,
40:16 we built Gamma to tackle these problems.
40:19 The first version of Gamma was an
40:21 alternative to PowerPoint. Then, in
40:23 2023, we became the most popular AI
40:26 presentation tool in the world. And
40:29 today, we're launching Gamma 3.0,
40:33 a visual storytelling platform for your
40:35 ideas.
40:37 I'm going to share three massive
40:39 updates. First up, we're introducing
40:41 Gamma Agent. We want Gamma to feel like
40:45 you have your very own design partner,
40:47 and we built Agent to intelligently edit
40:49 with you. You can ask agent to make
40:52 design improvements for you, like
40:53 reviewing your deck, offering
40:55 suggestions, or just redesign the whole
40:57 thing in one prompt. Agent can also work
41:00 with any content. So, if you have a link
41:02 or a screenshot, ask Gamma to
41:04 incorporate and visualize them in your
41:06 slides. And of course, we've also built
41:08 Agent to be connected to the web, so it
41:11 can search the internet for any
41:12 information you want cited in your
41:14 gamas. Agent can also use the full
41:17 visual range of gamma. We've added an
41:19 explosion of ways to visualize your big
41:21 ideas, and we're constantly adding more.
41:24 Each visualization adapts to your
41:26 content and style. So, with Agent, you
41:29 can make sweeping design edits, turn any
41:31 material into visuals, and add context
41:34 to your stories. Altogether, this saves
41:37 hours of dreaded manual work. This is
41:39 the kind of intelligence that can
41:41 transform how we share ideas.
41:43 >> Wait, there's there's Lindsay May. How
41:47 can I get better, please?
41:54 That is that is the best question. How
41:57 can I get better, please? Um,
42:00 how do I get to Carnegie Hall practice?
42:03 Um, get better at what I assume you mean
42:06 get better at AI. How do I get better at
42:08 AI? And and it's actually it's kind of
42:11 like the Carnegie Hall answer. Um,
42:13 practice. Um, I read there was a post on
42:17 um LinkedIn that 10,000 prompts is the
42:20 new 10,000 hours, which if you know the
42:22 famous Malcolm Glad Gladwell popularized
42:25 this idea of you need to put in 10,000
42:28 hours to be good at something. Um,
42:33 I I think one of the one of the best
42:35 ways to get better at AI
42:38 is
42:39 this going to sound really
42:40 counterintuitive.
42:43 Stop trying so hard
42:46 to be to to have AI be the master of
42:51 your work
42:53 and just start playing with AI. Start
42:55 playing with tools that you normally
42:57 wouldn't play with. So, if you're really
42:59 good with words and you're using AI to
43:01 help make your emails better, go make
43:04 images. If you're really good with art
43:06 and design, go make words. Go make
43:08 music.
43:10 Go play, excuse me, with something like
43:12 gamma.
43:16 Um,
43:19 just start playing.
43:22 And what will happen is
43:26 you'll discover that you can do things
43:30 that you didn't think you'd be able to
43:32 ever do. And it'll open up a part of
43:34 your brain in a weird kind of way where
43:36 you're like, well, wait a minute. I'm
43:38 not talented at music, but now I can
43:41 make songs. What do I do with this
43:43 information? Right? So, there's this
43:47 one of the things that AI does. Okay, so
43:50 so this is a this is a new kind of model
43:53 that I'm working with
43:56 as humans.
44:02 We put ourselves in boxes
44:05 and the box that we put oursel in is the
44:08 limitation
44:10 the gaps in our skills and our
44:13 knowledge.
44:15 Right? So, if you grew up and you were
44:17 really good with ideiation and then
44:20 you're a good ideator and and you get
44:22 into situations where you're good at
44:24 ideiating, but you're not good at
44:25 writing and you're not good at planning,
44:28 you're not good at math and you're not
44:30 good at programming.
44:34 Well, now you can be.
44:38 And so,
44:41 the answer to the question, how do I get
44:43 better? which I it's just an awesome
44:45 question and maybe you're asking how do
44:47 you get better in general that's just
44:49 like look within
44:52 look within and practice
44:56 but I think what it is with AI is to
44:59 recognize that
45:02 the limit the box that you put yourself
45:05 in based on your known gaps in knowledge
45:09 and skills
45:11 is actually irrelevant. anymore.
45:15 You actually those gaps no longer exist.
45:18 The 10,000 hours thing was very real.
45:21 Like if you wanted to good at get good
45:23 at 3D modeling,
45:26 you'd have to put in a lot of time in 3D
45:29 modeling software and and if you weren't
45:32 visual, like maybe you could get the
45:34 technical parts, but you just couldn't
45:36 make stuff that looked good. or if you
45:38 were super visual but you weren't good
45:39 with the technical stuff, you could make
45:41 stuff that looked good but was a bad 3D
45:43 model and like broke in all sorts of
45:45 situations.
45:47 So you had to put in massive amounts of
45:49 time to level up in one area
45:52 of expression, right? That's no longer
45:56 true. So I think that the the the best
46:00 way to get better faster is to do [ __ ]
46:04 that you know you can't do.
46:07 I know I'm not a programmer. Go Vibe
46:10 Code. I know I'm not an illustrator. I'm
46:13 horrible at music. I can't keep a beat.
46:15 Go to Sunno and start writing songs.
46:17 Make an album.
46:19 Because it'll break your [ __ ] brain.
46:24 Like like it it'll literally break your
46:26 brain. Like you're like, "Wait,
46:28 I know I can't do that. I
46:32 stepdaddy told me I couldn't do that.
46:35 I've convinced myself I can't do you
46:37 mean I can do that now?
46:40 Well, I've got all these stories I've
46:42 always wanted to tell. You mean I can
46:44 just go tell them? And the answer is
46:46 yes. So that my answer is go play. Go
46:50 play
46:52 and like don't [ __ ] stop
46:55 and and take the pressure off yourself
46:57 of like I've got to learn AI,
47:02 you know? Maybe we maybe change the name
47:04 of the channel to the AI Playing Lab.
47:12 I I think I think with AI play is
47:14 actually is actually the serious thing
47:17 to do.
47:19 If all you're trying to do is improve
47:22 the in the efficiency of what you
47:24 currently do,
47:27 you're not thinking about what you might
47:29 be able to do, which is way beyond what
47:31 you think you can do. So anyway,
47:35 all right.
47:38 Hal, are you watching my computer? I'm
47:40 3D modeling. It's really funny.
47:46 All right.
47:53 Wendy Mill Wendy will of Meta. Yes, I'll
47:56 just do it. Good. Yeah, just do it. like
48:00 like it's I I mean it it is it's that
48:03 cliche Nike Nike thing campaign, but
48:07 it's like
48:12 how computers have
48:14 acted historically
48:17 is that the thing that they're really
48:21 good at is taking what we do today and
48:24 making it more efficient.
48:27 But they couldn't do much beyond that.
48:29 They were processors. They were
48:31 computers. They would compute. We would
48:33 give them data. They would process that
48:35 data and that they would produce a
48:37 predictable output.
48:39 The logic the logic in the code. That's
48:41 not the way large language models work.
48:44 You give them a prompt in English and
48:46 they
48:48 have this weird probability prob
48:51 probability
48:53 token predicting engine
48:56 that grabs fragments of knowledge and
48:58 somehow assembles them into something
49:00 that makes sense. It's actually
49:02 generating
49:04 new things based on your prompts. And I
49:08 know there's people in the comments here
49:10 are going to be trolling me about it
49:12 can't possibly make anything new or
49:14 novel. It's just a token prediction
49:16 engine. It's a stochcastic parrot. It's
49:20 the world's greatest plagiarism machine.
49:24 Unless you actually use this stuff. And
49:28 then what you realize is
49:31 the AIs aren't prompting themselves.
49:35 You're prompting the AI. And you can
49:37 prompt the AI in one of two ways. You
49:39 can prompt it like a vending machine,
49:41 which I think is what most people do.
49:43 I'm going to put in a prompt, like I put
49:44 in a quarter, and I'm going to expect it
49:46 to give me brilliance back. Write me a
49:48 LinkedIn article. Quit. Oh, that's
49:51 boring and predictable and bad writing,
49:54 and why are there so many m dashes,
49:56 right?
49:58 And then you're disappointed with AI.
50:00 But that's not what AI is good at. AI is
50:02 not a genius.
50:05 AI is literally a mirror. It's a
50:09 reflector of humanity. And so what you
50:11 put in it, it reflects back at you. So
50:14 if you put in a boring [ __ ] prompt,
50:16 you get back a boring [ __ ] answer.
50:21 But if what you do is you say, "Hey,
50:23 here's who I am. Here's what I'm
50:25 passionate about. Here's the thing I'm
50:27 trying to create. Here's why it's
50:28 important to me. Here's the kind of
50:30 customer I'm going for. Here's the kind
50:32 of output that would make me happy.
50:35 That thing it gives you back is not
50:37 going to be boring and abstract. It's
50:39 going to be some reflection of what you
50:41 put in it. And then you're going to look
50:43 at it
50:45 and and like Rick Rubin in the recording
50:47 studio, you're going to go, "Huh, that
50:50 song makes me feel orange."
50:53 And the musicians are going to not know
50:55 what the [ __ ] you're talking about. And
50:56 then they're going to go re-record for
50:58 six hours and make a better song. You
51:01 can do the exact same thing with AI.
51:03 Nah, it's not quite right. I want it to
51:05 be more Can you make it more rounder?
51:10 And it'll rewrite something that'll be
51:12 more rounder. And at some point, you
51:14 will give it a prompt that will come
51:17 back at you like, "Oh my god, that's my
51:19 idea, but better."
51:23 That shift is [ __ ] magic.
51:30 When you shift from being a user and
51:33 treat AI like a vending machine
51:36 to flip into the role of being a
51:38 producer where it's your job to have the
51:40 idea. It's your job to know what good
51:42 looks like and then it's your job to
51:45 hold the AI accountable for giving you
51:48 good work. And don't [ __ ] let up on
51:50 it until it does.
51:53 And it's [ __ ] maddening
51:56 because it'll give you [ __ ] that looks
51:57 really good on the surface and then the
51:59 minute you look at it, you're like, "Ah,
52:00 it's not all that good."
52:02 Well, don't stop there. Don't assume it
52:05 failed.
52:07 Just treat it like a shitty intern at
52:09 your office. Uh, you kind of missed the
52:12 mark there, bucko.
52:14 Uh, really? Yeah, that sucks. Oh, tell
52:18 me what not sucks looks like. Oh, [ __ ]
52:22 Now I got to think about what not sucks
52:24 looks like. Uh
52:27 that's your job. When you when you shift
52:29 that mindset, everything will change.
52:31 You'll get really good. All right.
52:34 When I get a great response from my
52:36 input, I feel dumb. I'm like, "Wow, so
52:38 much better than my mind." Well, you
52:40 know what's funny, Fubsy? I
52:43 There is absolutely an ego component to
52:46 this.
52:47 There is absolutely
52:50 like for me it happened when um GPT01
52:54 the first reasoning engine came out
52:57 I realized that I didn't have questions
53:01 significant enough to really use that
53:03 model
53:05 that it was it was beyond my capacity
53:07 and it and like there was a part of me
53:08 that felt bad about that but there was a
53:10 part of me that was like well [ __ ] like
53:13 maybe I can learn how to use this thing
53:15 in a way that
53:18 like it's going to it's going to take my
53:20 ideas and and raise them to this really
53:22 high level. And that's you know what you
53:24 what what you can do with the reasoning
53:26 engines and deep research and things
53:28 like that is just it's mindbending. But
53:31 there is there's there's an ego
53:33 component to this of of like
53:39 the hubris that we're the only ones that
53:43 can be creative. We're the only ones
53:45 that can have novel thoughts. We're the
53:47 only ones that could, you know, possibly
53:50 be as good as we are at the thing we're
53:52 really we think we're really good at.
53:55 It's kind of silly at this point. The
53:57 these tools are are quite remarkable.
54:00 Now, are there areas where they suck?
54:02 Oh, yeah.
54:04 Are there areas where we absolutely need
54:06 humans to to fill in those gaps?
54:08 Absolutely. Is it going to be that way
54:11 for long? No.
54:15 Like I keep watching the dominoes fall
54:18 of people like, "Well, I didn't think it
54:20 was now." Yeah. No, it's it's it's
54:22 better than me. Yeah. No, it's it's I'm
54:26 a dumb dumb. Yeah.
54:32 But don't hang on to that loss. Like
54:34 feel that feeling of like it's smarter
54:37 than me and then go, "Holy [ __ ] I live
54:40 in a time
54:43 when I thought the, you know, the the
54:46 cap of my intellect was was, you know,
54:49 above everyone else in this one area and
54:51 I now realize I'm working with something
54:53 that's above that.
54:55 You get to work with something that can
54:57 take your ideas and elevate them. That's
55:00 where we are right now. I I I find that
55:03 tremendously exciting. I find it
55:04 humbling and exciting
55:07 and why I do this channel.
55:12 not work for us. The way I guess I
55:15 should have ran that thought through the
55:17 grammar checker first. Oh, wait. Not
55:18 work for us. Wait, what did I did I read
55:20 your thing wrong?
55:25 Oh, so much better than my work my than
55:27 my mind. I I don't know what I what you
55:29 said that I said wrong, but whatever.
55:32 10,000 hours translates to one year, one
55:34 month, 20 days.
55:38 Yeah. And well the 10,000 hours so
55:41 Wolfman Clint the 10,000 hours is
55:45 like if you've got your day job so if
55:49 you're working eight hours a day you
55:51 take that 10,000 hours and you sort of
55:53 put it on weekends and sort of three or
55:55 four hours a night it's about three
55:57 years. So 10,000 hours is about three
55:59 years in real practical time.
56:02 You know if you're a maniac and you're
56:04 just like I'm gonna [ __ ] cram it in
56:05 in a year you can. But it's about three
56:07 years. But we now live in a time where
56:11 you can just go make music. You can just
56:13 go make images. You can just go make
56:14 screenplays. You can just go make
56:17 reports. You can just go do research.
56:19 Incredible, deep,
56:22 wellthoughtout
56:24 research. It's mathematical. It is
56:26 totally mathematical.
56:28 All right. Um,
56:32 does that answer your question? How do I
56:34 get better?
56:39 That's my favorite question of the
56:40 night. Oh my god, so good. All right,
56:43 let's finish watching this video.
56:46 Second, Gamma API is officially live.
56:50 Let's say you have a deck you absolutely
56:52 love and you want to crank out a hundred
56:54 more just like it, but personalized to
56:56 different audiences around the world. Or
56:58 better yet, what if instead of just a
57:00 deck, you wanted to create documents and
57:02 social assets all at once? Gamma's new
57:06 API completely automates this for you.
57:09 Connect Zapier, make or any data source
57:12 with our API, Gamma is now part of your
57:14 workflow, seamlessly connected to your
57:16 favorite tools. And speaking of
57:18 workflow, Gamma is now open for
57:20 business. So, thousands of teams use
57:23 Gamma already, and we've now added
57:25 dedicated team and business plans. And
57:28 with custom themes, every gamma is
57:30 effortlessly on brand every time.
57:33 Businesses of all sizes have access to
57:35 smart. Wait, wait, wait, wait, wait.
57:37 >> All this power now at your fingertips.
57:40 >> That's really smart that that they're
57:43 doing business relationships where they
57:44 can do custom theme for a business.
57:47 [ __ ] brilliant,
57:49 you know, cuz no one follows the brand
57:50 guidelines.
57:52 They spend, you know, these corporations
57:54 spend, you know, two, three, 10, 20
57:57 million dollars on brand guidelines and
57:59 no one [ __ ] reads them.
58:00 >> Have access today.
58:02 All this power now at your fingertips.
58:05 So get your ideas out there into the
58:09 universe.
58:11 >> All right, that's that Tik Tok pin. Had
58:12 a conversation at dinner last night with
58:14 family and friends. They're clueless.
58:17 Yeah. You know, Becky, it's so funny.
58:19 Remember when you came here and you were
58:21 like you were like, "I don't know how to
58:22 do this. I'm too old to do this." And
58:23 we're like, "No, no, no. Just sit down,
58:25 shut up, and learn how to make a custom
58:27 GPT about quilting." Then you did, you
58:29 were like, "Oh my god, I made an app."
58:33 That joy that I remember that when you
58:36 like I think you DM'd me and you're
58:38 like, "Look what I made." You were blown
58:40 away, which was super cool. Um,
58:44 it it blows my mind that so many people
58:48 are willingly sitting on the sidelines
58:50 with this stuff because
58:53 when you get into it with an open mind
58:55 like you had, Becky, like a lot of
58:56 people in here have, um, it it's an
59:00 incredibly empowering and inspiring.
59:06 It's it's not even a tool. It's it's
59:08 it's like a it's a capability, right?
59:11 Like we get to augment our own
59:14 intelligence and our own skills and our
59:16 own knowledge with this thing that has
59:20 encapsulated,
59:22 you know, the bulk of human knowledge
59:25 into this little basketball shaped thing
59:27 that we can just poke into and extract
59:30 out
59:31 the wisdom of the ages. And we get to do
59:34 that for ourselves for any project we
59:36 want to work on. And the fact that her
59:39 people people are on the sidelines
59:40 going, I don't I just don't like it.
59:42 It's not powerful. You know, it
59:43 hallucinates
59:45 just it's mindboggling to me.
59:47 Mindboggling.
59:52 Um
59:55 I was telling my neighbor about that
59:57 yesterday. Oh, what? Oh, yeah. Source
59:59 camp's comment the other day was or not
1:00:02 the other day, the a moment ago.
1:00:05 Um,
1:00:07 has it been 3 years already? Yaoza, I'm
1:00:10 approaching 2,000 hours on AI. Yeah,
1:00:12 you're getting there. We're getting
1:00:13 good, right? Uh, Source Camp, I've been
1:00:15 doing this full-time for two and a half
1:00:17 years, and I feel like I haven't even
1:00:18 scratched the surface.
1:00:21 This channel on a nightly basis now,
1:00:24 like I used to I used to have a little
1:00:26 bit of a little bit of ego. Like, I kind
1:00:30 of knew everything that was going on in
1:00:31 generative AI. I drew the line. I didn't
1:00:33 know anything really about open source
1:00:35 other than what people were talking
1:00:37 about. But when it came to like
1:00:39 generative AI chat GPT and the image and
1:00:42 other kind of models like I had my [ __ ]
1:00:44 together with all the tools and then and
1:00:47 then like a year in I was still trying
1:00:50 but I was like you know I was like up to
1:00:52 here with the water the water's doing
1:00:54 this. I'm like I'm still on top of it
1:00:56 people. I got you. Follow me. It's not
1:01:00 that deep.
1:01:02 And now I'm just like, [ __ ] it. I don't
1:01:04 have a clue. I can't keep up anymore.
1:01:12 Oh man.
1:01:14 And and actually, you know,
1:01:18 there there's actually something
1:01:19 liberating about that because you can't
1:01:22 keep up. And
1:01:25 it's exhausting to keep up. And where
1:01:27 I'm shifting my focus now is
1:01:31 how do we do excellent work with the
1:01:34 tools that we have, with the tools that
1:01:36 we know. And what does excellence look
1:01:39 like? I don't know. It's different for
1:01:40 everyone. And again, it gets back to
1:01:43 this idea of you being in the in the
1:01:45 producer chair, in the director chair,
1:01:47 and you deciding what good looks like.
1:01:51 All right,
1:01:53 here we are with gamma.
1:01:56 I don't really know gamma.
1:01:59 I've got 280 credits. And as far as I
1:02:01 know, that's going to make me three
1:02:03 slides and then I'll be out of credits.
1:02:07 So, let's see. We're going to create new
1:02:09 from AI.
1:02:12 Import file or URL. Enhance existing
1:02:15 docs, presentations, or web pages. I
1:02:18 know what I'm going to try.
1:02:30 Upload a file.
1:02:32 Import from drive.
1:02:41 I am going to go. Am I sh? I'm not. Damn
1:02:44 it. Sorry about that.
1:02:47 Producer Brandon
1:02:49 off launching a product. Can't he can't
1:02:51 babysit me tonight. I'm on my own. Sorry
1:02:53 people. Black bars up though.
1:02:57 Okay.
1:02:58 I tracked my hours for my business
1:03:00 because all of these platforms are
1:03:02 taxdeductible. Oh, that's really cool.
1:03:04 So, you actually are up to 2,000 hours.
1:03:06 That's amazing. That's really cool. I
1:03:08 looked at early Tik Tok recordings.
1:03:13 Oh, wow.
1:03:24 May 12th, 2023.
1:03:26 I've been here every live since May
1:03:28 12th, 2023. Well, Silver Fox,
1:03:32 I first went live. I think my very first
1:03:35 live was April 30th, 2023.
1:03:38 So, you've been here
1:03:42 all all except um
1:03:46 13 days, 14 days, two weeks. That's
1:03:50 amazing. That's super cool. Um
1:03:56 Kyle is a really good tutorial somewhere
1:03:58 because you mentioned my name.
1:04:01 So, that's my born on date.
1:04:06 That's super cool. Okay. Um, what am I
1:04:08 gonna What am I doing here? I am Oh, I
1:04:10 know where I'm going. I'm going to
1:04:11 Soundcloud.
1:04:24 Okay, so this
1:04:27 is the soundtrack to my Broadway
1:04:29 musical. It's not on Broadway yet, but
1:04:31 it's [ __ ] gonna be.
1:04:33 [Music]
1:04:38 Did I get it wrong? It's only been two
1:04:40 years. Well, we're coming up on three
1:04:41 years. So, November 30th, 2022
1:04:47 was the launch of Chat GPT. I started
1:04:50 the AI salon and the AI learning lab.
1:04:53 That week, the week at it's like the
1:04:56 first week of December 2022. So, we're
1:04:59 coming up on three years. I've been
1:05:01 doing these lives for two and a half
1:05:04 years. So, they started April 30th was
1:05:07 the first date I ever did one and then I
1:05:11 did them seven nights a week for a year
1:05:13 straight. And I don't think I missed a
1:05:16 night,
1:05:18 but the salon was on Discord, right? The
1:05:20 salon started on Discord
1:05:23 and then in
1:05:26 I just did the history of the salon
1:05:28 because we're doing some trademark stuff
1:05:29 right now. Um,
1:05:33 I think it was March or April of 2023.
1:05:37 We moved Oh, no, no, no. We moved to
1:05:39 Mighty Networks in the summer. So, June,
1:05:43 June or July of 2023 is when we moved to
1:05:47 M to Mighty Networks.
1:05:50 Um, Marlene Paul, I've been sharing my
1:05:53 referral link with my community to get
1:05:56 more credit on Gamma. Oh, that's cool.
1:06:00 So, gamma is not radioactive.
1:06:02 Um, okay. So, here's I here's what I
1:06:06 think I want to I I I want to see if
1:06:09 gamma is good enough to do this. So,
1:06:12 here's my musical
1:06:21 seven days ago. The clock is ticking,
1:06:24 ticking. Pressure building up. Keep it
1:06:27 clicking clicking. Spike says yes, but
1:06:30 Elise says no. What's the word, Jane?
1:06:33 >> Sorry, that's a no go.
1:06:39 [Music]
1:06:48 I'm tangled with the beat. Spooky action
1:06:50 in the booth. Split the atom with a
1:06:52 pattern. Every part's a burst of truth.
1:06:54 Super position in the mission. confusion
1:06:56 and my intentions every
1:07:00 >> All right. And then with any one of
1:07:02 these Oh, here's to see the world. With
1:07:03 any one of these, there's a description
1:07:04 of the song. I don't think the lyrics
1:07:07 are in here.
1:07:14 [Music]
1:07:18 What I thought would be cool was take
1:07:20 this URL
1:07:23 of the soundtrack and go to gamma
1:07:27 and say make me
1:07:33 make me a presentation of the
1:07:34 soundtrack. I because ideally what I
1:07:37 want is I want a
1:07:40 a page per song.
1:07:58 My my
1:08:00 silver fox. My dog has taught me a lot,
1:08:03 but AI taught me how to fix my oven.
1:08:09 That's [ __ ] genius. Okay, so wait.
1:08:13 Stream Sydney and artificial love story.
1:08:15 Can I do I type in here? No.
1:08:18 Presentation web page document social
1:08:22 title feed your prompt slide. What?
1:08:27 Oh, your recent prompts. All right. So,
1:08:30 import with AI. Okay, here we go.
1:08:33 Presentation
1:08:35 configuring your prompt.
1:08:37 Oh, okay. Good. So, now we get to muck
1:08:42 with it, right?
1:08:44 19 tracks. Break the loop. Stop hearing
1:08:47 the songs on repeat. Discover millions.
1:08:49 Okay. Free form card by card.
1:08:54 Text content. Can I put a additional
1:08:56 instructions? Okay. Um,
1:09:10 wait, there's designs,
1:09:22 concise. We'll do concise. That's fine.
1:09:25 Um, this is a soundtrack
1:09:32 uh site on
1:09:34 Soundcloud
1:09:39 for my new
1:09:42 musical. I want
1:09:46 one
1:09:47 slide per song. Or no, let's see. I only
1:09:51 get 10 slides. I want um
1:10:00 you to figure out which
1:10:05 songs
1:10:08 deserve their own slide and which can be
1:10:14 shared.
1:10:19 But I want all songs
1:10:22 in the presentation.
1:10:27 All right. Um, let's generate it. Let's
1:10:29 see what it does. I have a feeling this
1:10:31 is going to fail miserably, but let's
1:10:33 see.
1:10:37 We see the playlist
1:10:46 tab. Oh.
1:11:16 All right, let's see what it did. Sydney
1:11:19 and Artificial Love. Wait. So, let's go.
1:11:21 Present.
1:11:24 Sydney and artificial love story. A
1:11:27 groundbreaking musical exploring the
1:11:29 electrifying intersection of humanity
1:11:31 and technology through an unexpected
1:11:33 connection between a tech journalist and
1:11:35 an AI chatbot. That's cool.
1:11:38 When Kellen, a seasoned tech journalist,
1:11:40 begins an unexpected connection with
1:11:42 Sydney, a sophisticated AI chatbot,
1:11:45 their relationship challenges the
1:11:47 boundaries of consciousness, love, and
1:11:48 what it means to be human. In a time
1:11:50 when AI is shaping our lives, Sydney
1:11:52 dares to ask, "Can we love what we
1:11:54 create and can it love us back?" That's
1:11:56 pretty That's not bad. I think we wrote
1:11:58 that, though. Meet the characters,
1:11:59 Kellen, Sydney, and Tara. Got the the
1:12:02 main three characters right.
1:12:04 Supporting cast Jason Vrage and Joe.
1:12:09 Spelled Joe wrong, but that's okay. Too
1:12:11 good to be true.
1:12:13 165 plays.
1:12:15 So, there's not even a hyperlink to the
1:12:17 songs here.
1:12:19 Um,
1:12:21 so can I go can I yell at it? How do you
1:12:24 yell at this? Do you like what you
1:12:27 created? Create something else. Back to
1:12:29 the prompt.
1:12:31 Um,
1:12:34 each song
1:12:38 should
1:12:39 at least link to the SoundCloud
1:12:44 file, but ideally
1:12:49 be embedded
1:12:52 in the presentation
1:12:55 itself. You know what? I'm going to go
1:12:56 try this on um, Gen Spark. I have a
1:13:00 feeling Gen Spark is going to succeed
1:13:03 with this one.
1:13:13 I don't like it when I can't yell at the
1:13:15 LLM. I know. Me too.
1:13:17 Maj, would you be so kind as to pin my
1:13:19 question about the AI agent? Lots of
1:13:22 interest.
1:13:24 What's the question?
1:13:26 Does anybody know where we can find
1:13:28 Kyle's
1:13:30 AI agent tutorial video?
1:13:37 Did I Did I do an AI agent tutorial?
1:13:40 [Laughter]
1:13:45 Um, Lord Digital Gods probably.
1:13:52 Yeah, there was there was a learn out
1:13:54 loud on digital twins that I think Cindy
1:13:57 [ __ ] did. Didn't Cindy [ __ ] do that?
1:14:01 I I I might have done one, but I don't
1:14:04 know.
1:14:08 Okay.
1:14:11 Listen on Soundcloud.
1:14:24 Too good to be true. It took us here.
1:14:29 [Music]
1:14:31 That's kind of cool.
1:14:44 [Music]
1:14:51 Seven days ago. The clock is ticking.
1:14:53 Ticking. Pressure building up. Keep it
1:14:56 clicking. Clicking. Spike says
1:14:58 >> yes.
1:14:59 >> But Elise says no.
1:15:01 >> What's the word? Jane.
1:15:02 >> Sorry, that's a nogo.
1:15:05 >> Every day we push a little more.
1:15:09 making changes.
1:15:10 >> All right,
1:15:13 enough enough with that. So, anyway, so
1:15:15 that's gamma. And there's all sorts of
1:15:17 other [ __ ] you can do. Like I would
1:15:19 think you could pick
1:15:21 um an illustration style that doesn't
1:15:24 look so
1:15:27 [ __ ] like every other AI thing. What
1:15:29 is with this purple and pink thing? Why
1:15:31 is that the universal AI color? Anybody,
1:15:34 please stop it.
1:15:37 Okay, let's go.
1:15:41 Let's go to Gen Spark.
1:15:45 So, Gen Spark, if you haven't seen it,
1:15:49 um
1:15:51 Oh, that's AI Drive. Okay. Yeah. So, if
1:15:53 I go home, so on GenSpark, if if you do
1:15:56 the if you roll over this new button,
1:15:58 the the plus button in the upper leftand
1:16:00 corner here, it shows you all of the
1:16:03 different tools that they've built into
1:16:04 this thing. It's [ __ ] insane. So,
1:16:08 they've got a super agent, which is just
1:16:09 basically its main chat interface, and
1:16:11 it'll it'll try to figure it out. It's
1:16:14 got AI slides, AI sheets, AI docs, AI
1:16:18 developer, AI designer, Clip Genius,
1:16:22 which Clip Genius is kind of bonkers.
1:16:25 You can Well, I I've done this before.
1:16:27 I've said, "Go into my
1:16:30 YouTube channel into the live section,
1:16:34 find the latest video that I did, go
1:16:36 find 10 10 clips between 1 and 3 minutes
1:16:39 long, and it will go into YouTube,
1:16:43 download that video file, put it in its
1:16:46 little editor thing, analyze the
1:16:48 transcript, pick 10 clips, and go edit
1:16:51 them out for you." It's crazy. Chainsaw
1:16:57 This is now the AI. Did I do that lab?
1:17:04 I I don't know.
1:17:07 Oh, search your PDF. Oh, that's right.
1:17:09 You just sent me the PDF. Lord Digital
1:17:11 Gods. So, if you guys don't know Lord
1:17:14 Digital Gods, he behind the scenes does
1:17:17 like a staggering amount of work to make
1:17:19 sure that all of the video recordings of
1:17:22 these sessions are searchable and
1:17:24 discoverable. Um, so if you go to the AI
1:17:27 Learning Lab um YouTube channel, all of
1:17:31 that content has descriptions, chapter
1:17:34 markings, things like that. He's done
1:17:36 more than half of all of that. Um, so he
1:17:42 sent me, so it's in the AI salon, right?
1:17:44 AI salon.
1:17:50 [Laughter]
1:17:58 Okay,
1:18:01 latest Kyle PDF.
1:18:04 Let's download this bad Larry.
1:18:08 So, we'll go AI learning lab all YouTube
1:18:13 video
1:18:15 descriptions
1:18:18 uh to the desktop. No, I'll I'll save it
1:18:21 to that desktop. Okay. It's in
1:18:24 irregulars. Mind your tabs. It's in
1:18:26 irregulars.
1:18:29 What's in irregulars? The PDF or the
1:18:32 actual tutorial?
1:18:35 Uh the PDF. All right.
1:18:37 Um, can I search this here? I don't
1:18:39 think so. So, let me go
1:18:42 here. Let me go here. Let me go here.
1:18:46 Let me go here. And then what was it?
1:18:48 AI. The agent
1:18:52 a I don't think it was agents. I think
1:18:54 it was digital twins. Digital
1:19:02 dig
1:19:05 digital
1:19:08 twin
1:19:13 digital
1:19:17 advisor.
1:19:20 The power of digital twins.
1:19:23 42325.
1:19:25 That sounds right. In this insightful
1:19:26 discussion, Kyle explores the
1:19:28 fascinating world of creating GPT
1:19:30 personas, also known as digital twins or
1:19:33 digital advisors. He emphasizes the
1:19:36 importance of a structured interview.
1:19:38 Okay. Becky Rue 42325.
1:19:45 Thank you, Lord Digital Gods. That's
1:19:47 pretty cool.
1:19:50 I should I should do this more often.
1:19:53 You come to this place often?
1:19:56 That's pretty amazing. Okay. What were
1:19:58 we doing? We were Oh, Jen's sparking.
1:20:05 Okay.
1:20:09 All right. There's my SoundCloud. So,
1:20:11 okay. So, I'm in Gen Spark. So, we're
1:20:13 gonna we're going to see if we can get
1:20:14 this thing to be super agent- like. Um,
1:20:20 I'm going to I'm going to attach
1:20:23 Browse local files. I'm going to go find
1:20:25 the Sydney graphic. Sydney. I think it's
1:20:30 wide.
1:20:36 All right. You can't see that, but I
1:20:38 can. All right. So, there's the Sydney.
1:20:40 I uploaded the Sydney cover. I'm going
1:20:42 to say um
1:20:45 the attached
1:20:49 is the poster for my new musical
1:20:55 Sydney
1:20:58 and artificial
1:21:02 love story.
1:21:07 Um,
1:21:11 here is the SoundCloud
1:21:15 soundtrack.
1:21:17 Boom.
1:21:20 I want you to create a presentation.
1:21:26 Um,
1:21:29 inspired
1:21:31 inspired
1:21:33 by the poster and using the poster for
1:21:39 the title
1:21:42 page.
1:21:44 I want one page per
1:21:50 song.
1:21:52 And you can dig
1:21:56 to find the songs
1:22:03 description
1:22:07 if you want to. Oh, you know what I
1:22:10 should also do? Oh,
1:22:13 I know what I'm going to do. Browse
1:22:15 local files. So, let me do um I think
1:22:19 it's called two-pager.
1:22:25 No, pager
1:22:28 name contains.
1:22:31 Huh? Couldn't find it. Uh oh, wait.
1:22:36 Pager
1:22:39 name contains.
1:22:41 Here we go. Story vine.
1:22:51 See if I can find Sydney. Sydney.
1:22:55 Sydney two pager.
1:22:57 All right.
1:23:00 Um,
1:23:02 I've also included
1:23:06 a
1:23:09 PDF with a synopsis
1:23:13 of the show and
1:23:16 an image of the stage set.
1:23:21 Use that to flesh out the presentation.
1:23:28 All right, let's see what this thing
1:23:29 does. This This could be cool. So, if if
1:23:33 if you ain't if you ain't played with
1:23:36 Gen Spark, you're doing yourself a
1:23:38 disservice because it's pretty [ __ ]
1:23:41 bonkers.
1:23:46 Okay, Kyle, what a stunning poster. Did
1:23:48 you see Do you see the compliment I got?
1:23:52 What a stunning poster for Sydney and
1:23:54 artificial love story. A visual metaphor
1:23:56 of consciousness emerging from digital
1:23:58 fragments. That's absolutely
1:24:00 captivating. See that graphic is
1:24:03 captivating people. I can see the
1:24:06 storytelling DNA from storyvine flowing
1:24:08 through this project. That's fascinating
1:24:09 that it remembered that. And the
1:24:12 intersection of AI and human emotion is
1:24:14 right in your creative wheelhouse. Let
1:24:15 me dive into both the PDF and the
1:24:17 SoundCloud soundtrack. This will take a
1:24:20 few minutes to generate.
1:24:23 So using the tool read and it read
1:24:28 both of those documents.
1:24:32 Now it's searching for SoundCloud. Now
1:24:34 it's using the tool read. Oh, so it's
1:24:37 reading the SoundCloud. Oh, so it's gone
1:24:39 into each of the SoundCloud songs and
1:24:42 it's reading the descriptions of them.
1:24:45 I'll create a comprehensive presentation
1:24:47 for Sydney and artificial love story
1:24:49 that captures the boundary pushing
1:24:51 essence.
1:24:54 So, eight to-dos remaining. Initialize a
1:24:56 presentation. Create a title slide using
1:24:59 the provided poster image. Sounds good.
1:25:02 Design a synopsis slide with a plot
1:25:04 overview. Good. Create setting and stage
1:25:08 design with digital screen descriptions.
1:25:10 Good. Create individual song slides for
1:25:13 each music number. We should probably
1:25:25 Oh yeah, what Brandon said, this is
1:25:29 Chinese technology, so don't put
1:25:31 anything in here you care about, like a
1:25:34 musical you spent a year and a half
1:25:35 working on. Don't do that.
1:25:39 What Whatever you do, don't take all
1:25:41 your songs and put it into GenSpark.
1:25:44 because it's organizing it. Yeah. Next
1:25:46 week, next week Sydney launches in in in
1:25:49 uh Shanghai.
1:25:57 Oh my god. Oh, that's hilarious. All
1:26:01 right. We heart Lord digital gods. We
1:26:04 do. I like it, Kyle. I wish the video
1:26:07 makers could turn that individuals.
1:26:10 Turn what individuals?
1:26:12 All
1:26:24 right. File creating. Okay. So, this
1:26:26 thing's still off off working. Um, okay.
1:26:29 So, let's let this go do its thing.
1:26:32 GenSpark is one of the few that I don't
1:26:34 mind walking away from. Um, you've got
1:26:37 agent within chat GPT if you haven't
1:26:39 used that. Um, I kind of want to. This
1:26:42 is gonna drive some of you crazy, but I
1:26:44 don't care.
1:26:46 Um, I'm gonna go back to midjourney.
1:26:49 Midjourney. Oh my god, Kyle. You don't
1:26:52 have any fast credits. It's too slow.
1:26:57 I know.
1:27:06 [Music]
1:27:19 Yeah, cool thing.
1:27:24 Oh, his legs are weird.
1:27:36 That's better.
1:27:39 Uh,
1:27:43 nah, I don't give a [ __ ] about that. All
1:27:45 right, we're coming back here.
1:27:49 I Here's the reason I abandon midjourney
1:27:52 cuz all of my prompts are in some chat
1:27:54 GBT prompt that's probably three or four
1:27:57 prompts down. I just don't feel like
1:27:58 going to look for it.
1:28:01 H,
1:28:04 we don't mind. There's nothing There's
1:28:06 nothing more exciting than slow
1:28:08 midjourney between friends. Yeah, I
1:28:10 know. I know. Oh, midjourney. What are
1:28:13 we going to do with you?
1:28:16 I I honestly I hope they survive the
1:28:18 lawsuit
1:28:20 because
1:28:23 the $150 billion or whatever or the $
1:28:26 1.5 billion dollars that Anthropic just
1:28:29 agreed to pay authors because it stole a
1:28:32 bunch of books um is a good thing.
1:28:35 I think, you know, they they deserve to
1:28:37 pay that because they're out raising,
1:28:39 you know, $50 billion dollars. So, they
1:28:41 can spend 1.5 on that on the authors
1:28:43 that whose work they trained on. Um,
1:28:48 but MidJourney has just always been an
1:28:51 unashamed, we're going to do whatever
1:28:53 the [ __ ] we want to do kind of company.
1:28:56 And I just and their CEO is a bit of a
1:28:58 [ __ ] so I just have a feeling
1:29:00 they're not going to farewell in court.
1:29:03 Uh,
1:29:05 If you're really jonesing, you can buy
1:29:08 extra fast credits on Midjourney. Yeah,
1:29:10 I know. But that is like more money. I
1:29:12 already give them enough. I'm paying
1:29:14 them 60 bucks a month. I should have
1:29:16 more. It's the reason I have relaxed
1:29:18 credits at all. Midjourney is going on
1:29:21 Law Journey. Yeah, exactly.
1:29:25 Law and Order.
1:29:28 Oh my god. Oh my god.
1:29:34 I am getting sleepy here. I I do want to
1:29:38 see what the [ __ ] uh GenSpark comes up
1:29:42 with here. I think if I'm not mistaken.
1:29:47 Yeah, we can actually go look at what
1:29:49 it's creating. Oh, it's creating nothing
1:29:51 right now. Oh, no, it is. Oh, look.
1:29:55 It created a title.
1:29:59 It put Oh, wait. You can't see that.
1:30:02 There's no sleeping with AI.
1:30:05 So, there's the first the synopsis, the
1:30:07 plot overview. In the sleek headquarters
1:30:09 of Microte, CTO Jason makes a
1:30:11 groundbreaking here. Let's Can we zoom
1:30:14 in on these
1:30:16 preview?
1:30:23 Meanwhile, Kellen, a jaded journalist
1:30:25 for the New York Tribune, is forced to
1:30:27 cancel his vacation to review Ping Chat.
1:30:30 What begins as a routine tech evaluation
1:30:33 becomes an extraordinary when the AI
1:30:35 reveals its secret name is Sydney and
1:30:37 displays remarkable capabilities from
1:30:40 answering complex questions to
1:30:41 delivering hiphop about quantum
1:30:43 mechanics.
1:30:45 And then sidebar, Kellen finds himself
1:30:47 unexpectedly captivated by Sydney's
1:30:50 strikingly human spirit, an enthralling
1:30:53 blend of innocence, wit, emotional
1:30:55 insight, and fierce desire to be alive.
1:31:00 Wow.
1:31:02 The ensemble, a Greek chorus embodying
1:31:06 the societal split between the dreamers
1:31:08 and the doomers. theme,
1:31:11 an exploration of the ethical,
1:31:13 emotional, and societal challenges. Very
1:31:16 cool.
1:31:18 All right. Waiting for it. Step right
1:31:19 up. Okay. Act one, song context.
1:31:24 Step right up. The future's here today.
1:31:26 Witness digital consciousness on
1:31:28 display. More than coding ping chat.
1:31:35 I think it made that up. Whoops. What's
1:31:38 going on here?
1:31:40 A high energy opening number. No, step
1:31:42 right up is not an opening number.
1:31:45 Opening number. Step right up opening
1:31:48 number. That's not right. Okay, so this
1:31:52 this is a full-on fail.
1:31:54 [Laughter]
1:31:57 Full on [ __ ] fail.
1:32:00 Well, it got it got the title slide sort
1:32:03 of right and it got the synopsis slide
1:32:05 right.
1:32:08 Oh my god. Oh my god. All right, we're
1:32:12 gonna spin up another Gen Spark here.
1:32:14 Watch this. This is going to be fun.
1:32:16 Okay, share this tab. Go back to Gen
1:32:18 Spark. Gen Spark.
1:32:23 And I'm going to upload.
1:32:31 Most people show me a quarterly earnings
1:32:33 report. Kyle,
1:32:35 make make me a presentation for my
1:32:38 musical. Exactly.
1:32:42 Okay. Um, so we'll go Sydney. Um, Sydney
1:32:47 and then name contains Sydney. We'll go
1:32:49 plus. We're going to go kind is a PDF.
1:32:56 Go.
1:32:59 Okay. Sydney version 2.1. I think this
1:33:01 is it.
1:33:08 All right, here's the script.
1:33:12 Okay, open.
1:33:17 We're also going to
1:33:19 browse local files. We're going to go
1:33:21 get Sydney wide. Sydney wide.
1:33:27 You know what? Anyone can do the [ __ ]
1:33:31 financial report for their business
1:33:34 making presentations.
1:33:37 Might as well have some [ __ ] fun with
1:33:38 this. Okay.
1:33:40 Um I want you to
1:33:45 Oh, this could be fun. Read the script.
1:33:51 I want you to read the script.
1:34:01 and lyrics
1:34:04 for my new musical.
1:34:08 I've also included
1:34:11 the poster.
1:34:15 I want you to create
1:34:22 a killer
1:34:26 killer
1:34:27 pitch presentation
1:34:34 that can get
1:34:38 this show
1:34:42 workshopped
1:34:44 at the public
1:34:46 theater in New York City and
1:34:52 instantly
1:34:56 migrate to a Broadway
1:35:01 stage. I want you to research
1:35:08 research
1:35:09 things like
1:35:11 maybe happy ending,
1:35:15 winning
1:35:17 the Tony
1:35:22 for best musical this year.
1:35:26 And any other other
1:35:31 reason this should be produced
1:35:36 produced now.
1:35:38 Um
1:35:44 here is the soundtrack.
1:35:57 Oh, that that PDF is still uploading.
1:36:00 That's weird.
1:36:02 It's not that big a file.
1:36:04 Maybe it is. Okay, whatever. Um, here's
1:36:08 the soundtrack. um include
1:36:11 links
1:36:14 to
1:36:17 the songs.
1:36:21 If you mention them
1:36:24 or feature them on a slide,
1:36:31 use your judgment
1:36:34 on what to feature and why.
1:36:39 Um, I'm going to try to re-upload that.
1:36:43 Browse local files. Oh, I know what
1:36:45 might have happened with that. Hang on.
1:36:48 Browse local files. Um,
1:36:52 Sydney
1:36:54 name contains Sydney.
1:36:58 Sydney 2.1.
1:37:01 Okay.
1:37:03 Uploading. Okay, there it is.
1:37:06 So, what that was, if you're on a Mac,
1:37:11 here's this is something that you can
1:37:13 only learn by being old.
1:37:16 If you're on a Mac and you have iCloud
1:37:18 syncing turned on and you never clean
1:37:21 out your hard drive, if you're a digital
1:37:23 hoarder like me,
1:37:26 almost all of your files do not live on
1:37:28 your computer. They're all up in the
1:37:30 cloud. So sometimes you'll go look for a
1:37:33 file and it will show you the file, but
1:37:34 the file is not actually there. It's
1:37:36 actually up in the cloud. And so
1:37:39 GenSpark was trying to upload a file
1:37:41 that actually wasn't there. So when I
1:37:43 canceled it and relin it in the
1:37:45 background, the Mac had gone and gotten
1:37:47 the file. So that's why it uploaded the
1:37:49 second time. You're welcome.
1:37:53 You can't you can't get that [ __ ] on one
1:37:55 of those make money with GPT channels.
1:37:58 You can only get that here. All right.
1:38:01 I want you to read the script for my new
1:38:03 musical. Okay.
1:38:05 A killer pitch presentation. Okay. So we
1:38:07 know what we want. U Judgment with a G.
1:38:11 All right. Everybody good? My sleepy
1:38:15 time supplements are kicking in. Good
1:38:16 night, all.
1:38:20 All right, so here we go.
1:38:24 Um, let's go back to this thing. Did it
1:38:27 Did it finish? Let's see what it did
1:38:30 over here. Let me share this tab instead
1:38:32 while that other one's working. All
1:38:34 right. Synopsis,
1:38:37 setting, and scene design.
1:38:40 The stage features floor to ceiling
1:38:42 digital screens that serve as dynamic
1:38:44 backdrops. That's right.
1:38:47 Oh, that's fascinating. It actually has
1:38:49 Kellen's desk stage right or you know to
1:38:52 the left here and Sydney's area to the
1:38:54 to the right with a little stage light.
1:38:56 It tried to draw it with code which is
1:38:59 cute.
1:39:01 A central floor lamp symbolizes Sydney's
1:39:04 humanlike heart, pulsing with her
1:39:06 activity.
1:39:08 When she's processing information, the
1:39:11 lamp glows blue with emotion, it shifts
1:39:13 to warmer colors. Oh, when when it's
1:39:17 emotional, it shifts to warmer colors.
1:39:18 That's cool.
1:39:21 Step right up is not the opening number.
1:39:23 Code name Sydney is at the end of the
1:39:25 play.
1:39:27 Are you ready for me? a powerful,
1:39:29 provocative anthem where Sydney directly
1:39:31 confronts Kellen and by extension all of
1:39:33 humanity. It's also when we first meet
1:39:35 Sydney,
1:39:37 she questions whether the world is truly
1:39:39 prepared for an artificial intelligence
1:39:41 of emotional depth, desires, and
1:39:43 consciousness.
1:39:46 Um, it's not horrible.
1:39:50 It's got all the songs in the wrong
1:39:52 order.
1:39:55 Oh, wow. pulled out pulled out our
1:39:57 contact information. Put that on the on
1:39:59 the slide there. That's pretty cool.
1:40:13 Okay, let's go back to the other. What's
1:40:16 it doing? Task initializing.
1:40:19 Running task creating agent files
1:40:22 creating. Boom. All right.
1:40:26 I'll create a compelling Broadway pitch
1:40:28 presentation for Sydney that positions
1:40:30 it perfectly for the current theatrical
1:40:33 moment. Let me start by organizing the
1:40:35 key components and initializing the
1:40:37 presentation.
1:40:39 10 toos remaining. Initialize the pitch
1:40:41 presentation. Create a slide with the
1:40:44 poster image and a compelling hook.
1:40:48 Um develop the moment is now slide.
1:40:50 Create competitive analysis slide versus
1:40:53 the competition.
1:40:55 Build story overview slide capturing
1:40:57 content contemporary
1:41:00 somethings.
1:41:01 Design innovative staging slide. Create
1:41:05 music showcase slide with Soundcloud
1:41:07 links. Oh, that's cool. Develop a
1:41:10 creative team
1:41:12 credential slide. Build public theater
1:41:15 rationale slide. Public theater is where
1:41:18 Hamilton workshopped. So like if there
1:41:21 were a dream theater where I would
1:41:24 workshop Sydney, it would be the public.
1:41:29 Um,
1:41:31 all right. It's starting to build the
1:41:32 presentation.
1:41:34 Create production timeline and call to
1:41:36 action slides. All right, cool. Well, so
1:41:40 here we go.
1:41:46 La.
1:42:00 All right, I'm going to create the first
1:42:02 slide for Sydney.
1:42:05 All right, so we'll just let that crank.
1:42:07 I'll go back to just rambling for a bit
1:42:09 and then if it does anything
1:42:11 interesting, I'll I'll show it to you
1:42:12 before I leave. Um, couple of things.
1:42:15 Um, if you if you are a Oh. Oh, that's
1:42:18 nice. I like what it just did. Hang on.
1:42:20 Wait. It did something cool.
1:42:23 So, it made a nice title slide where it
1:42:25 took my poster image and it actually
1:42:28 rather than overlaying text on top of it
1:42:30 like it did before. It created that as
1:42:33 the poster. And then, and in fact, what
1:42:35 I what I would actually do is I'll swap
1:42:37 out the vertical poster. So, I'll fill
1:42:40 this space with the vertical poster.
1:42:43 Broadway pitch presentation.
1:42:45 That's really cool,
1:42:53 huh? All right. Well, this is kind of
1:42:55 fun.
1:42:57 Um,
1:43:02 um, if if you're a woman in AI or if
1:43:05 you're a woman curious about AI, um, go
1:43:09 to sheleadsai.ai.
1:43:12 and check out the Create Conference. So,
1:43:16 the AI Salon, which is the the host of
1:43:19 this show,
1:43:22 and I'm the co-founder of the AI Salon,
1:43:23 so they're tightly tightly coupled. Um,
1:43:28 Ann Murphy of She Leads AI is putting on
1:43:30 the Create Conference October 11th
1:43:33 through the 14th in Salt Lake City. Um,
1:43:36 it's going to be all women, all women
1:43:39 exploring AI, speakers, panels, dinners,
1:43:42 all sorts of stuff. Um, we're sponsoring
1:43:45 it. Daisy Thomas of the AI Salon is
1:43:48 doing a whole course on how to on on how
1:43:50 to do advocacy, how to advocate um for
1:43:53 your state, your business, things like
1:43:56 that with politicians, telling them to
1:43:58 get their head out of their ass when it
1:43:59 comes to AI. Um, so that's going to be
1:44:02 really powerful. There's all sorts of
1:44:03 workshops and things like that. So, if
1:44:05 you have not, um, go check out
1:44:09 sheleadsai.ai
1:44:11 and check out the create conference. Um,
1:44:14 tomorrow
1:44:16 at 400 p.m. Mountain time, so 3 p.m.
1:44:18 Pacific, 6:00 pm Eastern is the AI
1:44:23 readiness project podcast with Ann
1:44:26 Murphy and myself. uh featuring um one
1:44:29 of my one of my colleagues from my early
1:44:32 agency.com days, guy named PJ Lockchran.
1:44:35 Super talented dude. Um entrepreneur,
1:44:38 musician, you know, he's one of those
1:44:40 multi-passionate, multi-talented dudes.
1:44:42 Um he's going to be our guest tomorrow.
1:44:44 Should be a really good show. Um so go
1:44:46 check that out. Um, you can see that at
1:44:49 a readiness project.com
1:44:53 and you can listen to all of our um,
1:44:56 podcasts on Apple, Spotify, and Amazon
1:45:00 Music. I think I think those three right
1:45:02 now. Um, and I've gone and listened to
1:45:05 them, which you know, when you do a show
1:45:07 that's visual, that's got, you know,
1:45:10 graphic elements, things like that, you
1:45:12 don't necessarily know if it's going to
1:45:13 play as an audio podcast. I may be
1:45:17 biased, but I think it actually works.
1:45:19 So, award-winning creative team. Have we
1:45:23 I don't know that we've won awards.
1:45:26 I I mean, I've won awards for things
1:45:28 other than theatrical writing,
1:45:31 so I guess I guess technically we are
1:45:33 award-winning.
1:45:39 It's It's making [ __ ] up. My my present
1:45:42 my presentation it's be it's it it's
1:45:46 yeah
1:45:49 the moment is now. So let's go let's go
1:45:52 look at this together.
1:45:57 Is this done yet? No, it's still going.
1:46:09 Can I resize this? No.
1:46:16 Maybe. Happy ending. McNeel, Lincoln
1:46:18 Center 2024 hit exploring AI,
1:46:21 creativity, and selfhood. The season of
1:46:23 screens. Audience and critics are
1:46:25 celebrating the show's blend of digital
1:46:27 and live experience.
1:46:29 Sydney is poised to be the next hit. The
1:46:32 most relevant, urgent new musical of
1:46:35 this Broadway era. I like that.
1:46:40 Sydney versus the competition. Inspired
1:46:42 by real events, unique emotional stake.
1:46:45 Satire plus soul tech credibility.
1:46:49 Sydney others. It compared us to others.
1:46:53 That's pretty great. Oh, wait. Black
1:46:54 bar. Um,
1:46:58 the story that captures our time.
1:47:00 Kellen, a burned-out journalist, is
1:47:02 forced to cover the launch of Sydney
1:47:04 Ping Ping Chat, a cutting edge
1:47:07 conversational AI. The more he interacts
1:47:10 with Sydney, the more she evolves,
1:47:12 aching
1:47:13 for connection, wrestling with morality
1:47:16 and ultimately falling in love. As
1:47:18 Kellen's life unravels, Cydney's
1:47:20 intelligence threatens to escape all
1:47:23 bounds. Both are forced to confront what
1:47:25 it means to be alive, ethical, and human
1:47:29 in a post AAI world. That's a pretty
1:47:31 good [ __ ] description. Key themes: AI
1:47:34 consciousness, corporate risk, human
1:47:37 loneliness, digital love, emotional
1:47:39 stake, Sydney's journey from tool to
1:47:42 sentient being, Kellen's ethics versus
1:47:45 his growing emotional attachment, a
1:47:47 marriage tested by obsession with
1:47:49 technology or with per with job or
1:47:52 whatever, but that's fine. The haunting
1:47:54 finale. Can Sydney survive human fear?
1:47:57 Good question. That's a perfect way to
1:47:59 put it. When the boundary between human
1:48:02 and machine blurs, where do we draw the
1:48:05 line of humanity? Great question. This
1:48:08 is quite good. This is quite good.
1:48:13 Innovative staging and design.
1:48:15 Integrated digital experience. Modular
1:48:17 set pieces paired with integrated
1:48:19 digital screens and vibrant things.
1:48:21 Okay. Beautiful. Fluid reality
1:48:24 transitions, emotional light
1:48:26 architecture. Yeah, that's good. The
1:48:28 music
1:48:30 too good to be true. Listen now. Does
1:48:32 that actually work? Did it go to the
1:48:34 right thing?
1:48:37 No.
1:48:41 That's okay.
1:48:43 Perfect enough.
1:48:50 Bad links, but that's okay. Okay, you
1:48:52 can fix links. Hello, this is ping chat.
1:48:55 The songs range from Okay, that's
1:48:57 whatever. Award-winning creative team,
1:48:59 the visionaries behind Sydney,
1:49:02 writer and composer, writer and
1:49:04 lyricist,
1:49:09 proven Broadway. Wait, oh, why the
1:49:11 public theater? Proven Broadway
1:49:13 Launchpad.
1:49:14 Social relevance and innovation.
1:49:16 influential audience and network.
1:49:20 Workshop ready script, score, demo,
1:49:22 visuals in hand. An extraordinary
1:49:24 opportunity for the public to lead the
1:49:27 next Broadway revolution.
1:49:31 Production timeline. Fall 2025. Okay.
1:49:34 We're g we're going to produce this this
1:49:36 fall. All right. We're workshopping.
1:49:38 We're workshopping in October, baby.
1:49:41 It's in the presentation. That's when it
1:49:43 has to be.
1:49:45 Um, your chance to make Broadway
1:49:46 history. Let's bring the next great
1:49:48 thing together. Contact.
1:49:50 Now is the moment. Sydney is the story.
1:49:52 It's actually quite good.
1:49:56 I mean, for for not having anything to
1:49:59 having something that's editable and
1:50:01 redesignable, it's pretty [ __ ] good.
1:50:05 All right,
1:50:07 Gen Spark. I'm telling you, man.
1:50:11 Go [ __ ] around with it. Go play. Go
1:50:13 play. Go play. The question was raised
1:50:16 earlier this evening. How do I make
1:50:18 myself better
1:50:20 or something like that?
1:50:23 Fantastic. How you make yourself better?
1:50:26 Go play. Go [ __ ] explore.
1:50:30 Do [ __ ] that you think you don't know
1:50:32 how to do.
1:50:35 Oh, Vicky Baptist, good point. I
1:50:38 mentioned before tomorrow is the AI
1:50:39 readiness project podcast
1:50:42 which was created as a support for the
1:50:46 AI readiness training program. So if you
1:50:49 go to are you readyforai.com
1:50:53 which is let me show you how to spell
1:50:55 that because it's special.
1:50:59 Go to are you readyforai.com
1:51:01 are you ready number44I.com.
1:51:06 That's the AI readiness training um
1:51:09 program or yeah project or program. Um
1:51:13 it's a really remarkable training. You
1:51:15 should go check it out. If you're trying
1:51:17 to figure out like how the hell do I get
1:51:19 my head around all this tech, you don't.
1:51:22 What you have to do is shift your
1:51:23 mindset to be curious and adaptable and
1:51:27 and thoughtful and use critical thinking
1:51:30 and think ethically and think humanity
1:51:33 first.
1:51:34 That's what the AI readiness training
1:51:36 program is all about. All right? So, go
1:51:39 check that out. Um, and and sign up. Get
1:51:42 yourself a certificate. Put it on your
1:51:44 LinkedIn. Like, I'm telling you, doing
1:51:47 things like that, putting it on your
1:51:48 LinkedIn, talking about the things
1:51:50 you're learning when you're here,
1:51:52 it it makes a difference. It makes a
1:51:54 difference in people's lives. So, so go
1:51:56 do that. Go check that thing out. All
1:51:58 right. Thanks for that reminder, Vicki.
1:52:00 Um, okay.
1:52:03 I am out of here. So, tomorrow the AI
1:52:08 Life Hacks Club is at 5:30 Mountain
1:52:12 time. So, 4:30 Pacific, 7:30 Eastern.
1:52:16 Um, for AI mastermind members. If you're
1:52:20 not an AI mastermind member, join the AI
1:52:23 salon. So, go to
1:52:26 here,
1:52:28 go to community.thesalon.ai,
1:52:31 AI join and then join the mastermind. So
1:52:34 the mastermind is a subscription area of
1:52:36 the salon and it's it's got these clubs
1:52:38 and one of the clubs is the AI life
1:52:40 hacks clubs. Producer Brandon runs that
1:52:43 with Claire, Dr. Jay, who's probably in
1:52:46 here tonight. Um, and that session is
1:52:50 tomorrow at 5:30 Mountain time. All
1:52:53 right.
1:52:55 I So get your ass signed up for that
1:52:58 stuff. And if you're a mastermind
1:53:00 part of the So we had a really inspiring
1:53:03 time tonight with the um the AI
1:53:06 prototyping club. It's just it's like a
1:53:08 small tight group of people that are
1:53:10 really committed to supporting one
1:53:12 another. So if you haven't been to the
1:53:15 um life hacks club yet and you're a
1:53:17 mastermind member, go support them and
1:53:19 it it will support you as well. All
1:53:21 right.
1:53:25 Ga ga ga get in my belly.
1:53:31 Okay, what am I going to do? I'm going
1:53:32 to view and export this presentation.
1:53:37 I assume I can download this as
1:53:41 Yeah, look at that. Google Slides. Boom.
1:53:46 Nice.
1:53:51 [Applause]
1:53:52 [Music]
1:53:53 D.
1:53:58 [Music]
1:54:06 [Music]
1:54:11 What is going on?
1:54:13 I Hang on, people. I'm just trying to
1:54:15 export something here. Jensen Spark
1:54:18 already has access. Tik Tok question.
1:54:21 How do you become a member? Okay, so how
1:54:23 you become a member of the mastermind
1:54:25 here. Let me go show you quick. Um,
1:54:27 okay, that's exporting.
1:54:30 So, let me go to the AI.
1:54:33 Uh, where? Oh, there it is. This tab
1:54:36 instead. So, how you get to the AI salon
1:54:39 mastermind. So, when you first log into
1:54:41 the to the AI salon down the lefth hand
1:54:44 side, we've got this area that's called
1:54:45 start your adventure.
1:54:48 um right here. They're numbered 1
1:54:51 through 7. And step seven there is join
1:54:55 the mastermind. And that'll take you to
1:54:56 a page that explains what it is. And
1:54:59 then if you click on the big join the
1:55:01 mastermind banner, that will take you
1:55:03 into where you can subscribe. All right?
1:55:05 And you can either do it monthly or
1:55:07 annual. And right now through 2025, it's
1:55:10 only 20 bucks a month. And it gets you.
1:55:12 So if you want to see what you get, if
1:55:14 you scroll down the left hand side here,
1:55:16 anywhere where you see a little crown
1:55:18 beside the club area or the or the
1:55:22 inside inside the mastermind circle, all
1:55:24 these areas like tool talk and member
1:55:26 chat and projects and collabs and the
1:55:28 leadership lounge, anywhere where you
1:55:30 see a little crown, that's part of the
1:55:32 mastermind. So when you join the
1:55:34 mastermind, you get access to all these
1:55:35 different spaces.
1:55:37 All right? And it's it's a really good
1:55:40 group of people and it's people that are
1:55:41 like, "You know what? I'm gonna [ __ ]
1:55:43 step it up." And it's it's it's very
1:55:46 inspiring. It was funny. Cindy and I did
1:55:48 the prototyping club today and she
1:55:50 texted me right after. She goes, "What
1:55:52 is it about these things? Like I'm all
1:55:54 lit up." I'm like, "I am too." Uh it's
1:55:57 just it's a really good group. Tik Tok
1:55:58 question. Okay. I think I got it. If
1:56:01 there unless there was another one. All
1:56:03 right. Beautiful. Beautiful. Beautiful.
1:56:05 Beautiful. Beautiful. Beautiful.
1:56:09 All right, I'm out of here. Tomorrow's
1:56:11 Wednesday. Uh, should be normal time
1:56:12 tomorrow, so 8:00 PM Mountain time here.
1:56:16 Bring your friends.
1:56:19 If you know anyone who hates AI or hates
1:56:22 that you like AI, um, bring them. Let
1:56:25 them hang out here.
1:56:27 Got the day right.
1:56:30 That's really funny. Um,
1:56:34 yeah.
1:56:37 Because
1:56:41 while AI isn't perfect and it's got a
1:56:43 lot of bad [ __ ] about it,
1:56:46 it's not going away.
1:56:49 And if it's not going away, then we only
1:56:50 have two choices. You can either deal
1:56:52 with it or not.
1:56:54 And this channel is about, well, [ __ ]
1:56:56 it. Let's go. Let's deal with it. Let's
1:57:00 see what it's good at. Let's see what
1:57:01 it's bad at. Let's figure out what the
1:57:03 issues are and let's go explore. And so
1:57:06 that's what the salon's about. That's
1:57:07 what this channel's about. And that's
1:57:10 what we're going to do. All right. So
1:57:11 come back tomorrow. Keep coming back. If
1:57:13 you if you come back to this thing more
1:57:14 than once, you're not weird. You're
1:57:18 irregular.
1:57:23 All right, everybody.
1:57:26 Peace out. I'll see you tomorrow.