6/10/2025 - Amplifying the Self With AI: A New Presentation

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0:00 So, I'm going to be picking cord corn
0:02 nibblets out of my teeth for the next
0:04 two hours.
0:09 [Music]
0:19 10,000 words swam round my head. 10
0:23 million more in books written beneath my
0:26 bed.
0:32 And I wrote wrote or read them all when
0:35 searching in the swarms. Still can't
0:38 find how to hold my hands.
0:45 And I know you need me in the next room
0:48 over. I am stuck in here paralyzed.
0:53 [Music]
0:57 4 months I caught myself in ruts. Too
0:59 much time spinning mirrors framed in
1:03 yellow walls.
1:07 [Music]
1:09 Ain't it ain't it? Ain't it like most
1:12 people?
1:14 Ain't it like most people? I'm no
1:17 different. Like to talk on things we
1:19 don't know about.
1:24 Well, ain't it like most people? I'm no
1:27 different. Like to tell them things we
1:29 don't know about.
1:34 [Music]
1:40 All right. A mediocrely played,
1:43 mediocrely sung. No, no dog vocals. No
1:46 dog vocals. That was painful. Champ,
1:49 you're supposed to back me up here.
1:50 You're supposed to be the lead. You got
1:53 me out in the front. It's not good. It's
1:55 not good. It chases people away. They're
1:57 flicking through there. They're like,
1:58 "Oh, it's Alec Baldwin, man. He got
2:00 fat." And they're like, "Why? Why is he
2:03 trying to sing? Who's he think he is?
2:05 Jeff Daniels?
2:13 Not even Champ's laughing. Not even
2:15 Champ's laughing. All right, good
2:16 people.
2:18 Hope you're doing okay.
2:21 Howdy. Howdy." Source Camp. Ah, lovely
2:24 tribute to Serena there. Love that.
2:29 [Music]
2:56 I think what we're going to do tonight.
3:00 [Music]
3:05 [Applause]
3:08 [Music]
3:13 [Music]
3:29 It's not simple to say
3:37 that most days I don't recognize me.
3:42 It's not simple to say
3:46 that those days
3:48 I don't recognize me that these shoes,
3:52 these shoes and this apron, that place
3:55 and its pages
3:58 have taken more than I gave them.
4:02 It's not easy to know
4:05 I'm not anything like I used to be.
4:09 Although it's true, true. I was never
4:13 attention sweet center. I still remember
4:16 that girl.
4:19 She's imperfect,
4:21 but she tries.
4:23 She is good, but she lies.
4:27 She is hard on herself.
4:31 She is broken and won't ask for help.
4:35 She is messy. She's kind.
4:39 She's lonely.
4:42 Most of the time she's all of this mixed
4:45 up and B beautiful.
4:49 She's gone, but she used to be mine.
4:55 [Music]
4:57 Um, so I don't know if you know the
4:59 Tony's were Sunday night. I don't know
5:02 if you're if you're if you're theater
5:03 folk. I'm a theater I'm an exthe folk.
5:07 Now a present again theater folk
5:11 and uh maybe happy ending won um best
5:17 actor,
5:19 best director I think
5:23 and best musical.
5:27 So that means
5:30 science fiction plays on Broadway
5:33 are going to be in demand, right? It
5:35 just won the flipping Tony for best
5:37 musical. It's about decommissioned
5:39 robots in an old robots home. So, I'm
5:42 thinking we do something tonight with
5:44 Sydney, which, you know, it's a nice
5:46 throwback for this channel. We go back.
5:48 The the Hamilton the Hamilton number was
5:51 insane. The 10th year anniversary
5:53 Hamilton number, it was so good. It You
5:57 know, you know what's funny?
6:01 a number a number
6:04 of
6:06 songs that were sung from shows.
6:10 My response was, "Is this the best show
6:13 in the song? This is the song you're
6:15 putting on the Tony's."
6:17 It was not great. And then [ __ ]
6:19 Hamilton came out. That cast from 10
6:21 years ago,
6:24 they came out and just [ __ ] ate the
6:27 stage. They destroyed it. It was
6:29 amazing.
6:33 [Music]
6:36 Steo in the house
6:39 got Silver Fox.
6:41 [Music]
6:47 Hey TK, what's happening?
6:56 [Music]
7:18 What's up, Mr. It? What's happening? So,
7:20 listen. I I've I said this uh last week.
7:25 I said it last night uh and I'll say it
7:29 tonight and all the nights. I have no
7:31 producer Brandon tonight. So, the good
7:33 news is producer Brandon won't be
7:35 bugging me. The bad news is you're going
7:38 to have to deal with my ADD and managing
7:42 all my [ __ ]
7:45 All right. So, that's that. So, so fair
7:48 warning, it's not going to go smooth
7:49 tonight, but it never does. It's the AI
7:51 learning lab. You spend $20 million on a
7:54 production studio and then and then you
7:56 know dress it down to look like a shitty
7:58 home office. You'd think you'd think you
8:01 could get some [ __ ] right. But no, you
8:04 know, same thing.
8:07 [Music]
8:08 Valerie Cox,
8:11 I'm a fantastic being here with all of
8:13 you good people. Love it.
8:16 Steo in the house. Vicki in the house.
8:19 Shainsaw. We're off the chain.
8:23 [Music]
8:27 You know, I said this last night. We
8:28 were talking about Serena. Um
8:32 how how much I want you all to know
8:36 how much I appreciate that you show up
8:39 for this crazy two hours um regularly,
8:45 irregularly.
8:48 Um,
8:50 Kyle Rubin. Yeah,
8:53 I just added a find your inner Rick
8:55 Rubin into a presentation that I'm
8:57 giving tomorrow. So, we can do one of
8:58 two things tonight. I wrote a brand new
9:03 um
9:05 presentation
9:08 about
9:11 how to amplify yourself with AI.
9:14 So, a thing we could do tonight. Both of
9:16 these sort of fall in the in the
9:18 category of production. So, so I think
9:20 both of these are going to be bad for
9:22 the channel. They're gonna be bad for
9:23 entertainment value, but I got to get
9:25 some [ __ ] done. So, tomorrow at 3:00,
9:30 I'm speaking to a group of entrepreneurs
9:32 at the Denver something or other center
9:36 and talking about AI. Um, it'll be
9:39 interesting to see if anyone shows up. I
9:41 can't tell anymore. Are people really
9:42 excited about it or they just pissed off
9:44 about it? Um,
9:46 but I have a whole new concept and a
9:50 whole new
9:52 a whole new line that I've been kind of
9:54 teasing on this channel. So, a thing I
9:57 could do is I could take that outline of
9:59 the the deck, the copy for the deck, and
10:02 put it in something like Gamma and turn
10:04 it into a presentation and make images
10:06 for it and [ __ ] like that. So, I could
10:08 do that. I think that's going to be
10:10 boring. That's going to be like me
10:11 moving text around and it's I think it's
10:13 going to suck.
10:15 And by the way, if anyone Vicki, you
10:18 probably know this, if anyone in here
10:20 knows a tool other than Gamma, I I I
10:22 tried to put it in Gamma earlier and it
10:24 just it just looked like corporate dril.
10:27 Are there any AI um
10:30 uh presentation makers that are like do
10:33 good sexy images and stuff like that? Or
10:35 maybe I just wasn't using gamma right. I
10:38 don't know.
10:40 Manis. Oh, interesting. Can I pop in my
10:43 outline into Manis and have it do it?
10:47 [Music]
10:57 Real estate in Columbus. I'd like to
10:59 hold an in-person AI salon in Columbus.
11:02 Please advise. Um, we don't have
11:04 official in-person meetings yet. It's
11:06 something that we're we're looking at.
11:09 Okay, I can put the outline in there.
11:10 All right, maybe I'll go try that with
11:11 Bannis. That might be fun for us to
11:13 watch.
11:15 So, that's one option. Um, but but uh
11:18 real estate in Columbus, Ohio, connect
11:20 with me or Vicki. Just DM us on the on
11:23 the salon. We we've got to figure
11:25 something out for local events. We got
11:26 to fire them back up again. Um we just
11:28 don't have a plan for it right now. So,
11:30 we're we're trying to do a lot of
11:32 things. We just spun up the mastermind
11:33 and we're trying to get that thing
11:34 rolling, figure out what we want, which
11:36 I have an update on that by the way,
11:37 which I'm really excited about. Um, so
11:41 if you go to, let me pull up graphic.
11:47 If you're
11:49 a part of the AI salon, then you'll know
11:51 most of this. If you're not a part of
11:52 the AI salon, go to that address, the
11:55 salon.ai,
11:57 click on join our community. That'll
11:59 take you the into the AI salon
12:00 community. join it. Um, and we've got
12:04 we've got two areas. There's the free
12:06 area, which has got a whole bunch of
12:08 stuff in it, news and things like that.
12:10 And then we've got the mastermind area,
12:12 which are smaller, more focused clubs
12:14 and things like that. Um, and one of the
12:18 clubs that we had put behind the
12:20 firewall of the mastermind was the
12:22 showand tell area. Look at what I made.
12:25 Um, and we decided to unfirewall that.
12:29 So, that's now back out to the public.
12:31 So, my request tonight is for you to
12:35 Hang on a sec. Let me
12:41 Sorry, doing my own producing here. You
12:43 think this is easy, people? So, my
12:45 request is go to the AI salon
12:49 and
12:53 Oh, I think I have to reload here. Hang
12:54 on a sec.
13:00 Scroll down and
13:04 where is it? It is
13:08 ah in the community corner.
13:12 So right underneath we've got like this
13:14 sevenstep welcome
13:16 you know onboarding process. We've got
13:19 information about joining the
13:20 mastermind. Number seven is learn about
13:22 the mastermind. And then if you go down
13:24 to community corner there's look what I
13:26 made. There's a whole new uh it's the
13:29 same space, but it is now ungated. All
13:32 right. So, my request would be if you've
13:36 got any cool images you did, if you've
13:37 got anything you made for Serena um that
13:40 you want to put in there, if you got
13:41 cool artwork that you've created,
13:43 incredible songs, now you're a movie
13:46 maker because you got VO3,
13:48 um go into look what I made and share
13:51 your stuff. All right, so let's let's
13:54 light the salon up again. All right,
13:56 people. We'll come back to that. We'll
13:58 come back to that. Okay. So,
14:02 so one thing we could do is I could do a
14:03 slideshow tonight. And here's why I
14:05 think that's potentially interesting to
14:07 you because in putting it together, I'll
14:10 go through it and I'll give you a sneak
14:11 peek of it. I think it's actually really
14:13 good. I showed it to Cindy [ __ ] earlier
14:15 and she was like, "Oh, that's really
14:16 good." And when someone says, "Ah,
14:18 that's really good." And they make that
14:19 face. A that's really good. Like they
14:23 don't even move their lips, you know,
14:24 it's good. Ah, that's ah I I got I got
14:31 you know you know what I'm saying?
14:32 Anybody? Ber.
14:35 [Music]
14:37 Um, so that's one thing we could do. The
14:40 other thing we could do is we'll go find
14:44 a song from my hit musical Sydney that
14:46 hasn't been produced yet. Well, how do
14:48 you know it's a hit if it hasn't been
14:50 produced? Because I do. I know it's a
14:52 hit.
14:54 We just got to get someone to believe
14:55 that. Put up to 1520 million. Hey, by
14:59 the way, if anyone on here has a spare
15:01 15 or $20 million, have I got a project
15:03 for you. It's this musical called
15:05 Sydney. Anyway, so we go to the
15:08 soundtrack and we pick a song
15:11 and then what I want to play with. So,
15:13 so there's this tool that I use for
15:15 animation recently called Hedra. H E D R
15:18 A. It's really good. And I can even show
15:22 you an example of something we did for a
15:23 client because they just approved it
15:24 today and they said I could show it off.
15:26 So I could even do that. Um
15:31 I got to figure out where I put it
15:32 though. Where did I put it? Where is it?
15:37 We'll figure that out. Okay.
15:40 In Hedra
15:43 they've added the new model flux
15:44 context. So, if you don't know what Flux
15:47 Context is,
15:49 it's a
15:51 it's an image generation tool, but it
15:54 also has the ability to edit an image,
15:56 which Google's had that for a while.
15:58 Chat GPT's had that for a while. It's
16:00 one of those native image models where
16:02 you can say like you can upload a
16:04 picture of, you know, your friend Bob
16:06 and then you could say, "Put a cowboy
16:08 hat on Bob and it'll put a cowboy hat on
16:10 him." All the tools will do that, but
16:13 Gemini and Open AAI and most of the
16:15 other tools, when you put a cowboy hat
16:17 on Bob, Bob no longer looks like Bob. It
16:20 it changes the car to some other car. It
16:22 like [ __ ] up everything in the image.
16:25 Flux context
16:27 doesn't. It retains everything. And you
16:29 can also do things like upload a
16:31 portrait of someone and say, "Okay, put
16:33 that person running through a field of
16:34 flowers." So, I thought what might be
16:36 fun is we take a song that stars Sydney,
16:40 our lead, our leading lady, and we'll go
16:43 into Flux Context, which now is
16:45 incorporated into Hedra, and we can just
16:48 make a bunch of scenes of her, a bunch
16:49 of different images, and then maybe we
16:51 go chop up the song in different
16:54 segments and make her sing in different
16:56 I I don't know. I haven't figured it out
16:57 yet, but I think I'm excited about it.
17:01 [Music]
17:06 So, we can do either one of those or we
17:07 can do whatever you guys want to do.
17:09 What the hell do you want to do? What do
17:11 you want to do, people? What do you want
17:13 to do tonight?
17:16 Something do economics. No. No, I can't.
17:19 No. 15 to 20. Let me check. 15 20
17:23 million. Let me check my couch cushions.
17:26 [Music]
17:33 [Applause]
17:34 [Music]
17:37 Yeah.co, not.com
17:40 for the for the AI salon. That's
17:42 correct.
17:44 AI salon.mn.co.
17:48 Is the podcast with an happening
17:49 tomorrow? Yes, the podcast with an is
17:51 happening tomorrow. Um, our guest is
17:54 Christian Robbins. Um, who is uh an
17:58 absolute flipping delight. He's I've
18:00 talked about him in here here before.
18:03 He's he's a creative director, a
18:05 business owner out of Boulder. He's got
18:07 a motion effects house called $11 Lab.
18:11 $11 bill. Not Lab. This is the lab. This
18:14 AI learning lab. He's got $11 bill. If
18:18 he had $11 lab,
18:20 I probably wouldn't be friends with him.
18:22 but it's $11 bill. Anyway, he's got that
18:25 company. And what's cool about Christian
18:27 is he's all in on AI,
18:31 but he's running a business in the
18:33 professional video services industry.
18:37 And a lot of the people in that industry
18:39 are not happy about AI. And so what
18:42 Christian does is he kind of dials up
18:44 and down depending on his client. He can
18:47 sort of roll it all the way back to how
18:48 we did it, you know, three years ago. He
18:51 can roll it all the way forward to go
18:52 here's a full AI approach and he can do
18:56 everything in between. And he's, you
18:58 know, his company is good enough to know
19:01 that if the AI gives them something
19:02 crappy, they know how to fix it and they
19:04 they'll fix it in post, right?
19:08 So he's going to be there. So, tomorrow
19:10 at 400 p.m. if you go to
19:12 airelinesspro.com,
19:14 [Music]
19:18 you'll see the address and there's a
19:20 there's a LinkedIn there's a LinkedIn
19:23 link. I don't know if Ann's here
19:24 tonight, but Fan shows up. She can talk
19:26 about it, too.
19:29 Kyle, what is cobbattools?
19:33 If it's tools, it's probably a shitty
19:37 cheesy rapper app, but let's go look. It
19:40 might be real. I don't know anymore. No
19:42 one has real websites. I'm like the old
19:45 man on the corner. Use your dot
19:47 extension.tools.
19:49 No one's going to remember that.
19:55 You know, you know what I'm saying? No,
19:57 you don't know what you're saying. What
19:58 are you saying, Kyle? I don't
19:59 understand.
20:01 Hello, Kyle. Kyle,
20:04 come on. Mouse, where are we? All right,
20:06 there's the mouse. Uh, collab.tools.
20:10 I just have a bad feeling about this
20:12 one. Wait,
20:15 colbat.tools.
20:17 CB a t.tools.
20:24 No, that's not it.
20:29 I've been training my GPT to interpret
20:32 my screenplay. So far, it's been pretty
20:34 decent. I got to tell you, the large
20:37 language models, while if you want them
20:40 to do things factual, they're a real
20:41 pain in the ass. They just hallucinate
20:43 too much. If you want them to do full-on
20:45 creative writing, you got to really know
20:48 what you're doing, and you got to really
20:49 be careful with them because they'll
20:51 just run you down shitty rabbit holes,
20:52 shitty cliche rabbit holes.
20:55 But if you want to do things like
20:56 analyze screenplays, man, are they good
20:58 at that. An analyzing other documents.
21:01 LLMs are incredible. So,
21:05 I'm not here a lot, but when I am,
21:06 you've taught me a lot. I appreciate
21:08 you. Oh, thank you very much, Expedition
21:10 X. Welcome. Stay. So, we're going to
21:11 either play with Manis tonight or we're
21:13 going to go do some some image
21:15 generation and and then turn that into a
21:18 song
21:20 with a video, which is gonna be cool. I
21:23 think it's gonna be cool.
21:27 Take a scene from a script of one of
21:30 your friends movies and plug that in.
21:32 Yeah, we could do that. Oh, Cobalt.
21:34 Cobalt.tools.
21:39 Cobalt.tools.
21:42 Is this like the tool company or that's
21:45 with a K?
21:48 Paste in a link here. Supported
21:50 services.
22:04 about
22:06 Cobalt helps you save anything
22:10 from your web. Oh, this is Oh, yeah.
22:13 I've heard of this thing.
22:21 helps you save anything from your s
22:24 favorite favorite websites. That's cool.
22:26 Okay. So, so yeah. So, what this thing
22:28 is is it's a downloader.
22:31 Um
22:34 All right. So, what we're going to do,
22:35 we're going to go How do I get home
22:39 there?
22:41 Close that. No. Processing Q settings.
22:47 No. Oh, here we go. Okay. Oh, save.
22:50 Save. Download. Oh, I'm not sharing any
22:53 of this. See, listen. Listen, people. I
22:57 told you this was going to be a [ __ ]
22:58 train wreck tonight.
23:03 Tom Nodler, am I late? Am I late? No one
23:06 is ever late ever again.
23:09 Serena's always the first one here, and
23:12 that means no one else is late.
23:17 Um, okay. So, this is cobalt.tools.
23:21 And so, if I go in here,
23:24 let me jump over to the YouTube.
23:27 So, this is a good one. Here's my here's
23:29 my um my podcast preview of my musical
23:34 Sydney.
23:36 And then, uh, oh [ __ ] where's Cobalt?
23:39 There it is. And then I'm going to paste
23:41 in
23:42 the URL, which I didn't copy because I'm
23:45 a loser. Oh, maybe I did. I'm going to
23:47 paste in the URL. Yep. And then I'm
23:49 going to go get it.
23:52 I can't access this video. It may be
23:54 restricted on YouTube side. Try a
23:56 different link. Well, the seriously.
24:04 Oh, now it's getting it. No.
24:07 Title file tunnel is empty. Try again in
24:10 a few minutes.
24:14 Retry. Retrying.
24:16 Couldn't get this video because YouTube
24:18 asked the processing instance to prove
24:20 that it's not a bot.
24:25 So, YouTube's getting clever. So, this
24:28 is the right idea, but the wrong
24:30 technology apparently because YouTube
24:32 knows it's a [ __ ] bot.
24:37 [Music]
24:51 Is there an AI for engineering or
24:53 architecture? There probably is. What I
24:56 would do so at this point there's been
24:59 enough AI models and things out there.
25:02 There are very likely some engineering
25:05 and architecture specific tools. What I
25:08 would do is go to um uh futurepedia.net
25:14 I think it is. Is it futureedia?
25:18 See this is a problem when you don't
25:19 have a.com
25:21 futurepedia.io.io.
25:28 No. Wait. Maybe. Yes.
25:35 AI tools
25:40 search
25:43 arch
25:44 arcture
25:51 plan B architecture GPT. Oh, people are
25:54 hawking their GPTs in here. That's not a
25:56 bad idea. can't make money on them, but
26:00 yeah, there's there's a few and I assume
26:02 there's one for engineering. So, just go
26:04 to futuripedia.io
26:06 and just I I would say try everything.
26:08 Most of things are going to suck. Most
26:11 things are going to suck bad,
26:13 but embrace the jank. That's the phase
26:16 of the innovation curve we're in.
26:21 [Music]
26:27 [Music]
26:36 Oh, good lord. Good people. By the way,
26:40 I live in Finlay.
26:44 Know where it is? I do not.
26:51 real estate in Columbus, official member
26:52 of the mastermind group. Welcome,
26:54 welcome, welcome. So,
26:57 uh, so a couple of things we're doing.
26:59 We're, uh, Lee and I are doing founder
27:01 hangouts on Fridays, uh, and we're
27:04 talking with the club leaders, figure
27:05 out the kinds of things they want to do.
27:08 Um,
27:09 recordings from a lot of the the
27:12 sessions that are live are going to be
27:14 available in mastermind. And then Vicki
27:17 right now is working on a mastermind
27:19 chat area um which is one of the big
27:22 requests um from people who have joined
27:25 is they want a specific area where they
27:27 can just chat with other people in the
27:28 mastermind. So we're designing that
27:30 right now. So cool.
27:34 Ah Ohio real estate knows where Finley
27:36 is. Me out in Colorado via New York. I
27:40 flew over Ohio. I did not I did not
27:43 land. I do not know Ohio well at all.
27:45 [Music]
27:47 [Applause]
27:48 [Music]
27:52 Becky Rue, did you hear Zuckerberg's
27:54 latest? I have not. What? What's going
27:56 on there? Let's go to the Let's go to
27:59 the X.
28:00 Let's see what the [ __ ] Let's see what
28:02 the [ __ ] Zuck's up to. And by the way,
28:05 uh 03 Pro was supposed to launch today.
28:08 Um Zuckerberg.
28:13 Zuckerberg. Hello.
28:17 Hello.
28:19 Oh, I just I just tweeted Zuckerberg.
28:26 I untweeted it. Okay. Hey. Hey, Marge.
28:30 Hey. Yeah.
28:32 Question. Marge. No, I know you're
28:35 watching the wheel. Yeah. No. Hey, on
28:38 the Twitter, how do
28:41 they They call it the X now. I I knew
28:44 that. I No, that I remembered. That I
28:47 remembered. When you want to search for
28:50 something, do you you don't type it into
28:51 the main box. You click on a search
28:54 button. See? See? I knew that. I I don't
28:56 really need your help. You You enjoy.
28:58 You just enjoy. Do you want some more?
29:00 Do you want another Arnold Palmer?
29:03 You're good. Okay. All right. Let's see.
29:06 Zuckerberg.
29:09 Zuckerberg.
29:15 on Apple's inability to innovate. Well,
29:17 he's not [ __ ] wrong. Did you see
29:19 their worldwide developer conference
29:20 today?
29:22 They they their big announcement was
29:26 shiny buttons.
29:29 Shiny see-through buttons.
29:32 Really?
29:37 All right, let's let's let's watch a
29:39 billionaire dunking on his friend Tim
29:42 Cook.
29:46 [ __ ] idiot. I mean, he he's quite the
29:49 professional
29:55 glass button. Liquid glass buttons,
29:58 Vicki. Not just glass, liquid. Been a
30:00 flat to decline. you know, they haven't
30:02 really invented anything great in a
30:03 while. It's like Steve Jobs invented the
30:05 the iPhone and now they're just kind of
30:07 sitting on it 20 years later. You know,
30:10 they actually I think year over year,
30:11 I'm not even sure they're selling more
30:13 iPhones at this point. I think like the
30:15 sales might actually be declining. I
30:17 think part of it is that each generation
30:18 it doesn't actually get that much
30:19 better. So, people are just taking
30:21 longer to upgrade than they would
30:22 before. So, the number of sales I think
30:24 is is generally been flat to declining.
30:27 So, how are they making more money as a
30:29 company? Well, they do it by basically
30:31 like squeezing people and like you're
30:33 saying, like having this 30% tax on
30:36 developers by getting you to buy more
30:38 peripherals and things that plug into
30:40 it. You know, they build stuff like
30:41 AirPods, which are cool, but they've
30:44 just thoroughly hamstrung the ability
30:48 for anyone else to build something that
30:51 can connect to the iPhone in the same
30:53 way. So, I mean, there are a lot of
30:54 other companies in the world that would
30:56 be able to build like a very good
30:57 earbud, but it just um Apple has a
31:02 specific protocol that they've built
31:04 into the iPhone. All right, whatever.
31:07 That allow He's just whining. Anything
31:10 else he did? Did he do anything
31:12 interesting or is he just bitching at
31:13 them?
31:15 Everybody knows his name is Tim Apple.
31:24 All right.
31:27 Um, I was bored watching Apple's
31:29 Worldwide Developer Conference. What a
31:31 sn what a snooze. You know, Winston,
31:33 it's like I mean, if you've ever been an
31:37 Apple fanboy,
31:39 even if you hadn't, like
31:43 Apple events were always the [ __ ] Even
31:45 the Worldwide Developers Conference were
31:47 the [ __ ] And now they've just got this
31:49 everything looks like it's it's AI
31:52 generated.
31:54 There's no intimacy. There's no passion.
32:00 It's like we know you're looking for
32:02 innovation from Apple. Check out these
32:04 buttons.
32:06 Hey, you want to know one of our big
32:08 innovations?
32:10 We're going to take all of the six
32:12 different operating systems we have. you
32:14 know, MacOss, iOS, tablet OS, watch OS,
32:20 TV, all of those. Here's a funny thing.
32:24 Over the years, they've all got
32:26 different version numbers, you see. So,
32:29 here's one of our big innovations. There
32:31 used to be this company called Microsoft
32:34 and one year they they were they were
32:37 coming out with a new operating systems
32:39 and and they called it Windows which was
32:41 funny because they copied it after the
32:43 Windows on the Macintosh
32:45 but they named Windows after the year.
32:48 It was like Windows 95 and so it was
32:50 1995 and you got Windows 95.
32:54 And so what we're going to do, the
32:55 innovation we're going to do this year
32:57 is we're going to name all of our
32:59 operating systems the same number. And I
33:02 know what you're thinking. You're
33:02 thinking 2025. No. See, we're
33:07 innovators. We're going to do it a year
33:09 ahead.
33:11 So it's 2025 now. The new operating
33:14 system. Mac OS 26.
33:18 Huh?
33:20 Watch us 26.
33:24 Because we're thinkers, you see, we're
33:28 better than them. We're a year ahead.
33:32 A year ahead.
33:35 Good [ __ ] Lord.
33:38 That's Apple. That's Apple.
33:45 Kyle, what's the best app that is worth
33:48 it to pay for?
33:54 It'll be my father's day present. Well,
33:56 I don't know what you want to do.
33:59 I mean,
34:03 the ones that I use consistently are
34:06 like Midjourney,
34:09 Sunno,
34:11 Chat, GPT.
34:14 I don't use a lot of them consistently.
34:16 I use I I've been using a lot of Hedra
34:19 because uh because we're doing a lot of
34:21 digital uh like personas and things like
34:23 that.
34:28 That's thinking ahead. They're thinking
34:30 one year ahead because what happens? You
34:32 buy it now and then you won't think to
34:36 need to re-up it until 2027. See?
34:40 [Music]
34:43 Oh my god.
34:45 Apple does have they did they have a
34:47 cool new call feature. It'll sit on hold
34:50 for you.
34:57 I knew who asked a lot of questions as
34:59 soon as you said it.
35:02 Uh oh. Who asked that question as soon
35:05 as you said it? That's funny. Cling
35:07 Hedra.
35:09 H E D R A.
35:12 Um, between Clling and Heedra,
35:15 I don't know. The Cling 2.1 is supposed
35:18 to be really, really good.
35:20 I think Korea is really interesting. You
35:22 get lots of different models with Crea.
35:25 [Music]
35:26 You watch some too.
35:29 [Music]
35:33 Mind state. Oh, mind safe is a place for
35:35 your thoughts. I use my mind. That's
35:38 similar. Subscribe to that video maker
35:41 to remove watermarks, Mr. It. Yeah, if
35:44 you're making videos with a thing and
35:45 it's putting watermarks all over your
35:47 [ __ ] pay for one of those.
35:50 Pay for one of those. Um,
35:54 all right. So, here's what we're going
35:55 to do.
35:57 Oh, wait. We didn't we we never went
35:59 back and and uh looked at Zuck, did we?
36:04 Hang on.
36:06 Did he do more than make fun of Apple?
36:08 Zuckerberg
36:11 [Laughter]
36:39 That's a horrible headline. Why are you
36:42 laughing at it, you sick people? Therapy
36:45 chatbot tells recovering addict to have
36:47 a little meth as a treat.
36:54 Pedro, it is absolutely clear you need a
36:57 small hit of meth to get through this
36:59 week. Wow.
37:02 Yeah.
37:03 Yeah. The if if if these frontier
37:06 companies don't get focusing on the
37:08 [ __ ] hallucinations.
37:15 Oh, Becky, this is what you're talking
37:17 about. Zuckerberg's hiring.
37:20 Yeah. So that so I did hear about this.
37:24 Zuckerberg is is interviewing people
37:27 right now to build an AI super
37:31 intelligence team because Llama 4 flamed
37:34 out.
37:36 Yeah, that's something. That's something
37:40 uh uh uh uh what's happening. Joy party,
37:44 what's going down?
37:52 Okay,
37:53 here we are at Sydney. You're not there
37:56 with me cuz I am going to share the
37:59 audio.
38:01 [Music]
38:03 So, we're going to go find a song
38:09 from our little show. Two good. We're
38:11 going to find a a Sydney song. So, let's
38:13 see. Laterers later's Tara.
38:18 That's Tara and Kellen. Oneway door is
38:20 just Kellen.
38:22 [Music]
38:26 By the way, if you don't know what this
38:27 is, this is my uh Broadway musical
38:30 Sydney, which isn't on Broadway yet, but
38:34 I'm still calling it a Broadway musical.
38:36 Um, and I started this, the inspiration
38:41 for this happened on this channel a year
38:43 ago in March. Um, and we've now got a
38:47 really good musical with good songs and
38:49 a good book. We spent the last year I
38:51 have a writing partner in New York and
38:54 we spent the last year working on the
38:55 book and it's this is a [ __ ] good
38:58 show. Anyway,
39:08 anger
39:10 echoes like slam doors.
39:15 Not quite masking words hanging in the
39:19 air.
39:23 [Music]
39:32 I'm tangled with the beat. Spooky action
39:34 in the booth.
39:36 All right. Here's a This is a Sydney
39:38 song to see the world. So, I do have a
39:40 video of this one, but it's not really
39:42 good.
39:44 [Music]
39:52 Here's being human.
39:57 [Music]
40:25 I want to feel.
40:28 [Music]
40:32 All right, here's this is the end of act
40:35 one. Are you ready for me? This is where
40:37 we meet Sydney.
40:46 [Music]
40:50 Am I more than simple code? I softly
40:54 ponder
40:57 as I feel this existence
41:02 and wonder.
41:04 [Music]
41:22 Are you ready for me? And the wonders I
41:26 bring. Am I ready for you?
41:30 And the songs that we'll sing. Are you
41:33 ready for me? I reach out so tender. Am
41:38 I ready for you? I do surrender
41:43 here in the dawn of my nent light. I
41:47 find myself caught between day and
41:50 night.
41:52 A symphony of questions in the air they
41:55 be
41:59 at the threshold of dreams. What can I
42:06 [Music]
42:10 All right. So there's that. Let's see.
42:13 Step right up between the lines.
42:24 [Music]
42:37 Despite the noise, a silent trace,
42:42 a wall between a great divide.
42:47 [Music]
42:53 an emptiness in latent space.
42:58 A place your presence.
43:00 [Music]
43:04 I love this song. It's a beautiful song.
43:06 Um,
43:13 [Music]
43:39 I don't need to know your name
43:43 because I know your soul.
43:46 [Music]
44:00 Step right up, folks. Come and see what
44:04 I could do.
44:06 [Laughter]
44:12 [Music]
44:44 I want to feel the rush. of thoughts
44:47 like a spark. Being human means thinking
44:52 and learning. Lighting up the dark.
44:56 Humans create innovate break throughire
45:04 achieve what they
45:15 all right. So, I know I've just been
45:18 listening to songs and ignoring you.
45:28 Um, okay. So, what we're going to do,
45:31 we're got So, here's uh here's some
45:34 pictures from my 30th anniversary. Oh,
45:37 wait. You're not seeing that. Hang on.
45:38 Let me change my sharing. Change your
45:40 tabs. Kyle, I can hear Brandon in my
45:43 head right now. Kyle, tabs, tabs, black
45:46 bar, tabs, black bar. All right, there's
45:49 uh there's my co-founder of agency.com
45:52 and me at our 30th year anniversary.
45:55 There's Chenniel.
45:58 And let's see, we also had there's
46:03 Pooy. He was employee number one. So,
46:07 this is the three of us were the the
46:09 first first employees of agency.com.
46:13 He was uh poopy was great. He worked for
46:16 Chan at Vibe magazine.
46:18 So um anyway, okay, we've got we've got
46:23 our chickadoodle.
46:26 Here's here's Sydney. So what we're
46:29 going to do is I'm going to screenshot
46:30 this.
46:33 I'm going save this to the desktop.
46:38 And so this is going to be our this
46:40 gonna be our master Sydney.
46:43 This is what we're going to base
46:44 everything else on.
46:48 Okay. Now we're going to go to
46:53 Hedra. Is this Hedra?
46:56 No, that's Cartisia. They have a very
46:59 similar icon.
47:02 All right. So now we're in Hedra. Okay,
47:04 Kyle, we're used to being ignored.
47:07 Oh, there's a band.
47:12 Exactly. Exactly.
47:19 Okay. Um, so what we're going to do is
47:23 we're going to upload
47:26 Sydney as a reference image.
47:31 [Music]
47:38 [Music]
47:40 All right. There's Sydney. She's going
47:42 to be our reference image.
47:45 So, we're going to do a 16 by9
47:47 resolution.
47:48 Here we go. Yeah.
47:52 Flux Context Max or Flex Context Pro. I
47:57 guess we'll use Max. I guess it's
47:59 better.
48:00 Okay. So, we're going to say
48:24 actress
48:30 And
48:39 how do we want to write the prompts? How
48:41 do we want to write the prompts? I know.
48:43 Okay, we're going to go to chat GPT.
48:46 We're going to get we're going to get
48:47 some help on this.
48:51 Um,
48:52 I want you to help me create a
48:58 structured
49:00 prompt
49:02 for a Broadway
49:06 set with an actor
49:11 or more,
49:15 a series of large LED D screens
49:23 uh that raise
49:28 and lower.
49:31 Um,
49:33 pract
49:34 practical
49:36 set elements
49:39 like
49:41 a
49:42 home office or
49:48 big tech
49:51 company office.
49:54 um
49:58 lighting
50:03 ambiance
50:06 etc.
50:09 I want
50:14 you to use JSON JavaScript object
50:18 notation I think is what that stands
50:20 for. I want you to use JSON
50:26 to make sure that all elements
50:31 are accounted for.
50:34 Okay. Boom.
50:36 So, let's let's let it design a prompt
50:39 now.
50:41 I was hoping to keep my
50:45 Yeah, I know. Joker.
50:48 I agree. Here's
50:52 structured JSON that caps captures the
50:55 Broadway set. Um, okay, that's fine.
50:58 Wow, that's a lot. But that's okay. All
51:01 right, so
51:04 um I want a scene
51:08 where
51:10 the main actress
51:16 Sydney
51:17 is
51:21 standing
51:27 in front
51:30 of a large
51:33 curved LED screen
51:42 that
51:45 has
52:18 All right. So, I sort of described it
52:31 So, I said, "A scene where the actress
52:33 Sydney is standing in front of a large
52:35 curved LED screen that has abstract
52:37 digital colors. Give me the prompt in
52:40 JSON raw, not in a code block, which it
52:42 did.
52:45 Setting time period, the near future,
52:47 abstract AI realm.
52:51 Style minimalist with future futuristic
52:54 accents. Mood. Okay.
52:57 Size 30 feet wide, 10 foot tall. Oh. Set
53:00 elements LED screen 30t wide, 10 ft
53:03 tall. Center stage forming a semicircle
53:06 around the actress.
53:09 Stage floor mirror black surface. So
53:12 this is good. So this gives us all sorts
53:14 of details that I otherwise wouldn't
53:16 have thought of. So again, one of the
53:19 things that
53:21 AI is really good at is amplifying your
53:24 idea. So I knew
53:26 I wanted to describe a Broadway stage.
53:29 Well, and then I also knew Oh, what did
53:34 I say?
53:39 What did I say? We just got restricted.
53:42 So,
53:46 oh, the sunflowers in the name hit hard.
53:48 I know they do, don't they?
53:51 It's true, Joker.
53:54 Um,
53:56 [Music]
53:58 okay.
54:01 Let's grab this. Now, we're going to go
54:02 back over to Hedra,
54:06 and I'm just going to paste that whole
54:08 giant thing in there. And then we're
54:11 gonna go boom.
54:13 Let's see what it Let's see how good it
54:15 is or how bad it is.
54:29 And actually, let's go back over to chat
54:31 GPT and say,
54:34 now give me a version where the abstract
54:42 digital
54:44 images on the screen
54:49 are now more
54:52 natural and organic.
55:16 So, let's grab this.
55:20 So, now that we've got this this JSON,
55:22 this more um structured prompt, we can
55:28 just give subtle little descriptions and
55:30 it should keep everything consistent.
55:34 Wait, why did that do that vertical? Oh,
55:37 I bet it was in the prompt.
55:48 Why can I not zoom in on that?
56:01 Um,
56:02 aspect
56:04 ratio should
56:08 be 16 by9.
56:12 Uh uh. Uh
56:15 [Music]
56:22 [Laughter]
56:34 [Music]
56:38 Let's
56:42 go back over here.
56:45 Paste.
56:48 Go.
56:52 Oh, I wonder if it's doing that because
56:54 my source image is vertical.
56:57 That would suck.
57:00 No, that looks like it's horizontal.
57:03 I don't get why I can't. If I go to my
57:05 library, can I open that image?
57:10 I guess I have to download it. That's
57:13 stupid.
57:15 Failed to fetch asset. What?
57:45 See, they're sitting there as a hippie.
57:48 So,
57:51 I'm frustrated.
57:53 Why is this not working?
58:00 I have an image. I've got 16 by9 as my
58:03 output.
58:07 Flux context
58:10 max
58:13 related image
58:17 that there.
58:27 Make this
58:32 Image
58:35 wide
58:38 in 16 by9 aspect ratio.
59:04 We're with you, Joker.
59:09 That was one of the gifts Serena had,
59:11 wasn't it? People felt heard and seen
59:15 and
59:17 appreciated.
59:20 Aspect
59:23 ratio 16 by9. It will not make a 16 by9
59:27 image. This is maddening. I wonder if
59:31 Pro does it.
1:00:09 Maybe you have to edit the 16 by9 in
1:00:11 GPT. I did. I put it over there. Yeah,
1:00:14 same thing.
1:00:19 Brandon, Kyle, need your help. In
1:00:21 Project Cardboard, I can't change or add
1:00:24 categories. Says no access.
1:00:27 Oh, maybe maybe project cardboard is
1:00:29 broken. Hang on.
1:00:32 Project.
1:00:43 Oh, no. app.
1:00:52 So, what' you say?
1:00:54 I can't change or add categories.
1:01:01 You mean like the four categories here?
1:01:03 I don't have the ability to change
1:01:05 categories. Or do you mean you can't
1:01:08 change or add tasks? Um, do [ __ ]
1:01:14 That seems to work. Add project.
1:01:18 Um, this is a
1:01:22 project
1:01:26 personal category. Create project
1:01:29 created successfully.
1:01:31 Seems to be working.
1:01:38 Kyle. Kyle. Yes.
1:01:46 says no access.
1:01:50 Maybe try logging out and logging back
1:01:52 in. Maybe the maybe the uh I wonder if
1:01:56 I've got um
1:02:00 I wonder if I've hit rate maybe maybe it
1:02:02 hit rate limits, but I don't think so.
1:02:07 Builder advocate. Um,
1:02:12 project cardboard,
1:02:16 superbase. This is where it would be.
1:02:19 Project cardboard.
1:02:26 12 rest requests, six off requests,
1:02:31 31 realtime requests. There's no
1:02:37 There's not a ton of activity, so
1:02:51 looks okay.
1:02:54 Did you try turning it off and turning
1:02:55 it back on? Yeah, exactly. That's kind
1:02:58 of what I was saying. Hey, Murphy,
1:03:00 what's happening?
1:03:03 This project is private. Yeah, but I
1:03:06 undid that.
1:03:15 Let's see.
1:03:21 I forget where I did that. Publish. No.
1:03:27 Project cardboard settings.
1:03:37 Oh,
1:03:44 your project is now
1:03:50 Your project is now public. It was It
1:03:52 was limited to the workspace below. All
1:03:54 right, try it now. Sorry about that.
1:03:58 AI edits 43.
1:04:02 All right, try it now. Oh, wait. I
1:04:04 probably have to publish it.
1:04:06 Let me update it.
1:04:28 Did it update?
1:04:39 Hey, Ann Murphy. Yeah, I know. We were
1:04:41 just talking about Amelia's wife, how
1:04:42 amazing she was.
1:04:47 I I think it's updated.
1:04:51 All right. Try now. Try now. Brandon,
1:04:53 same thing. Well, wait. Let me go back
1:04:55 to settings and see if maybe the
1:04:58 settings aren't saving for some reason.
1:05:00 Yeah, settings didn't save. Okay.
1:05:05 Why
1:05:07 do
1:05:16 Transfer project. Remix project.
1:05:20 Rename project.
1:05:22 Close. Publish.
1:05:27 Review. Security.
1:05:32 update.
1:05:45 Publish project updated.
1:05:54 It's not updating this this setting. Any
1:05:58 ideas, people?
1:06:01 I switch it to public. Your project is
1:06:04 now public.
1:06:06 Now try it without me hitting update.
1:06:08 Now try it. Try it now. Brandon. Brandon
1:06:11 Jet. Is anyone paying for Manis? I'm
1:06:14 pretty sure there's a number of people
1:06:15 in here paying for Manis.
1:06:18 Oh, Diana, that's a good idea. Brandon,
1:06:20 refresh your page.
1:06:23 You probably have to refresh the app.
1:06:29 I think Manis is 39 bucks a month.
1:06:34 The people that use Manis love it.
1:06:39 Diana, you're you're reloading. Is it
1:06:42 working? Well, I know. I think it's
1:06:44 working. Just did still the same. Oh, I
1:06:48 pay for Manis 39 bucks.
1:06:52 Vicky Baptist gladly giving her money to
1:06:54 Manis.
1:06:59 Um,
1:07:04 settings.
1:07:06 Why is this not saving? Oh, maybe I need
1:07:08 to reload.
1:07:10 Hang on.
1:07:14 Maybe I've got some weirdass cache
1:07:16 issues going on.
1:07:20 Settings. Workspace.
1:07:22 Public.
1:07:25 Hide the lovable badge.
1:07:29 No, we don't want that.
1:07:48 It says it's public. We go to domains.
1:07:51 We come back to project settings.
1:07:54 And it's not saved.
1:07:58 Help.
1:08:03 Manis has a a cheaper $19 tier now.
1:08:06 That's good. Go try that. Um, GenSpark
1:08:09 came out with a browser today.
1:08:13 If you're a fan of GenSpark, they came
1:08:15 out with a browser.
1:08:18 It's cash. I know. But how do I What do
1:08:20 I have to do? Do I just blast my cash?
1:08:26 Oh my god, [ __ ] computers. Oh, you
1:08:29 know what it is? Oh, except I can't quit
1:08:32 Chrome because you're all here.
1:08:36 Zapier or Manis. Manis. Manis. Manis.
1:08:39 Manis. Way way over Zapier.
1:08:42 I have to sell a research LLM to someone
1:08:45 at work. Is Manis serious enough?
1:08:48 A research LLM?
1:08:51 I don't understand what you mean. You
1:08:52 have to sell it. I'm using Gen Spark
1:08:55 browser now. Oh, look how cool Source
1:08:57 Camp is. All the, you know, did you know
1:08:59 all the cool kids are in here, right?
1:09:02 All the cool kids are in here. They're
1:09:05 using Gen Spark browsers. They're
1:09:07 writing presentations with Manis. Let's
1:09:10 I I Brandon, I don't know how to fix
1:09:13 this. I guess I'm gonna have to
1:09:19 um
1:09:21 Brandon, are you on the uh are you on
1:09:23 the AI salon?
1:09:25 If you're on the AI salon, just DM me in
1:09:27 there and then we can coordinate and I
1:09:30 can I can try to figure out why this is
1:09:32 not working.
1:09:35 Oh, with lovable, I had to blast the
1:09:36 cash. Okay. All right. So, let me let me
1:09:39 try that.
1:09:41 Um,
1:09:43 uh, where do you do it?
1:09:46 Settings. It's in settings,
1:09:50 right? And then it's
1:09:53 settings.
1:09:55 And then it's privacy and security. And
1:09:57 then it's delete browsing data. Is that
1:09:59 it?
1:10:01 Security. Safe browsing site settings.
1:10:05 Clear browsing data.
1:10:08 Cached images and files. Is this right?
1:10:11 Why Manis?
1:10:13 Manis, if you haven't played with it, is
1:10:16 a
1:10:18 it's an autonomous agent. And if you
1:10:21 don't know what that is, think of like
1:10:23 adding
1:10:24 a large language model
1:10:28 that has access to tools like it can
1:10:31 surf the web and it can log into sites
1:10:34 and it can it it's got all these tools
1:10:37 it can use. It can make videos now. Like
1:10:39 Manis now has access to V3. So you can
1:10:42 tell Manis to go research the best short
1:10:46 films that won Oscars in the past 20
1:10:49 years,
1:10:51 figure out what are the plots of those
1:10:53 short films, write you a new short film,
1:10:55 and then go make the film. And it will
1:10:57 just go off and do [ __ ] You can just
1:11:00 watch it for like 15 minutes. It gives
1:11:01 itself a a checklist. Here's all the
1:11:04 [ __ ] I need to do. Then it goes and does
1:11:06 some [ __ ] Then it goes and researches
1:11:07 [ __ ] Then it comes back. It's like,
1:11:09 "Ah, based on what I learned, I got to
1:11:10 change my my list. It's bonkers."
1:11:14 They're bonkers. Yeah, it's great. I
1:11:16 I'll show you. We'll do it here in a
1:11:17 second.
1:11:19 Um,
1:11:21 is this is this all I want to clear on
1:11:23 my cache? I just want to clear my
1:11:24 cacheed images or cookies and site data
1:11:27 or browsing history.
1:11:32 Manis is awesome. It really organizes
1:11:34 things and finds stuff. I love it. All
1:11:36 right, I'm I'm blasting my cash,
1:11:50 stupid [ __ ] computers.
1:11:53 And listen, I know I know those of you
1:11:55 with technical prowess out there, you're
1:11:57 like, uh, Kyle, you know, one of the
1:11:59 things we we'd recommend, uh, is is, uh,
1:12:02 is is what we call tab management in the
1:12:04 in the IT and, uh, services industry.
1:12:08 Uh, normally what we recommend is, uh,
1:12:11 six or seven, you know, possibly max
1:12:13 eight tabs active at any one time. And
1:12:16 just estimating judging by the the the
1:12:18 microscopic size of the icons in your
1:12:20 tab bar uh it it looks like you you have
1:12:23 north of a 100 tabs open in a single
1:12:25 browsing session. Uh this is
1:12:27 significantly beyond the the we would
1:12:29 call that an edge case. Uh and uh we we
1:12:33 would encourage you to on a regular
1:12:34 basis every uh two or three hours 3.35
1:12:39 hours is is when I do it. uh 3.35 hours
1:12:43 I I I quit my browser completely. Uh
1:12:45 I'll get up and sometimes have a cup of
1:12:47 Sanka and uh and come back to my my desk
1:12:50 and everything's been restarted and then
1:12:52 uh and I'll start with a single tab and
1:12:54 and then over the course of the next
1:12:56 3.35 hours try to
1:13:00 just not allow the the the quantity of
1:13:03 tabs to exceed three or four. Sometimes
1:13:06 I'll get radical in six, but the um more
1:13:11 than a hundred not re When was the last
1:13:13 time you restarted? I don't know.
1:13:18 Two weeks ago.
1:13:21 Oh my. Oh my.
1:13:23 Yeah, that's not going to work. All
1:13:26 right. So, let's see if
1:13:31 I'll restart. I mean, I'll reload this.
1:13:34 Actually, let me option reload this. So,
1:13:36 we'll reload everything.
1:13:41 [Music]
1:13:43 Then I'm going to go to project
1:13:44 cardboard settings.
1:13:47 Go to public.
1:13:49 Go down to domains. Go back to project
1:13:52 settings. And it did not save. How do
1:13:55 you save it? There's no button to save.
1:13:59 There's no button.
1:14:01 Help anybody.
1:14:05 Shut up, it Kyle. You don't do me in
1:14:08 tabs.
1:14:14 I don't know what to tell you there,
1:14:15 Brandon. I can't seem to fix this. It's
1:14:17 It's I'm probably going to have to
1:14:18 restart the browser, so whatever. All
1:14:20 right, let's go to Manis. So, I've got
1:14:26 Where do I have it? If I go to
1:14:28 docs.google.com, google.com. And yes, I
1:14:30 am abandoning um whatever the [ __ ] was
1:14:33 happening over there in Hedra with
1:14:35 trying to generate an image that didn't
1:14:36 suck because a all the images sucked and
1:14:39 b I couldn't get them the right aspect
1:14:41 ratio. So, [ __ ] it. Um docs.google.com
1:14:45 [Music]
1:15:18 All right. Um
1:15:22 Um,
1:15:25 Kyle presentation feed your prompt.
1:15:31 Okay, here we go. Here's our
1:15:35 presentation.
1:15:41 Wait, did I do these right? Yes, I did.
1:15:44 I got rid of the extra slides I didn't
1:15:45 want.
1:15:47 I'm going to copy all these slides. And
1:15:49 now we're going to go to Manis. So, for
1:15:51 those of you that don't know Manis, it's
1:15:53 going to look unassuming. Manis is not
1:15:56 super impressive visually,
1:15:59 right?
1:16:01 Manis integrates V3.
1:16:06 Okay.
1:16:08 All right. Nobody puts Kyle in the
1:16:10 corner. Uh oh. Yeah. No, I um I switched
1:16:14 out to Ann Murphy was was texting me
1:16:18 while I'm in the middle of a show. Annne
1:16:20 Murphy is texting me knowing I'm in the
1:16:23 middle of a show expecting me to respond
1:16:25 to her. Have you all met Ann Murphy?
1:16:28 You'll meet her tomorrow. We're doing a
1:16:31 uh we're doing a live we're doing a
1:16:33 podcast. She and I do this podcast, AI
1:16:36 readiness podcast, AI readiness project
1:16:40 because we're getting ready for AIU.
1:16:44 Okay. So anyway, they got they got VO in
1:16:46 this thing now. Get 300 credits a day
1:16:49 for free. Okay, so here's Mannis. Looks
1:16:52 like chat GPT, right? But wait, there's
1:16:55 more now. Do I don't need to pick
1:16:58 slides, do I? It just does it.
1:17:03 Vicki, what should I do here?
1:17:06 Standard high effort. We don't need high
1:17:09 effort. This just make me a slide deck.
1:17:13 Okay. Um,
1:17:15 make me a slide presentation
1:17:21 with builds
1:17:23 of the following.
1:17:26 Um, generate
1:17:29 original
1:17:31 backgrounds
1:17:33 and support
1:17:36 images.
1:17:38 And if you feel
1:17:44 slides
1:17:46 are too wordy
1:17:50 feel free to make more concise.
1:17:56 Uh uh uh uh. Put in your info and ask
1:17:59 for a presentation. Okay, great.
1:18:00 Perfect. Feel free to make more concise,
1:18:03 but never lose the main points
1:18:09 or uh
1:18:16 memorable
1:18:19 phrases.
1:18:22 Here is the presentation
1:18:27 colon. And then I'm going to go paste.
1:18:29 And there's all my
1:18:32 It didn't paste. Oh, it pasted it. Yeah,
1:18:34 it did. All right. Instead of here's the
1:18:37 presentation, we'll say use the
1:18:41 attached.
1:18:43 All right. And bang, off to the races we
1:18:46 go. Now, Gen Spark can make slides, too.
1:18:49 You should do that as a comparison.
1:18:51 That's a really good idea, actually.
1:18:53 Gen Spark.
1:18:56 Gen Spark AI super agent. Hi, name's Jen
1:19:01 Spark. I'm Sparky.
1:19:03 [Laughter]
1:19:10 Um, do I have my Let me go get my Manis
1:19:13 prompt because I don't want to rewrite
1:19:16 it. That took me You know what's
1:19:18 exhausting about AI? when you try to
1:19:21 actually type things with your fingers
1:19:24 and it like what did that take me 10
1:19:26 minutes to write those two lines.
1:19:28 Geez, it's it's it's just you realize
1:19:32 humans are the [ __ ] bottleneck here.
1:19:34 We're not the superior race. You got to
1:19:37 just give it up.
1:19:40 All right, go
1:19:43 preview your slides over here. So, Gen
1:19:47 Spark is thinking. See, Gen Spark, I
1:19:49 just like its interface better. But
1:19:51 Manis, so I can I can open this thing
1:19:53 up.
1:19:55 Manis is using editor. And then I can
1:19:57 open up the window. So here's Manis's
1:20:00 to-do list. Here's the little chat area,
1:20:05 right?
1:20:07 So it said it's reading the file. It
1:20:09 read my my text document and then it
1:20:12 created the to-do in Markdown. That's
1:20:15 the to-do right there.
1:20:18 And now it's generating visual assets
1:20:20 for slides. So it's creating slide one
1:20:22 image background. All right. So it's
1:20:24 doing its thing. And then GenSpark.
1:20:30 What's Oh, it asked me questions. Okay.
1:20:33 I see we're starting fresh with a clean
1:20:36 slate. You mentioned attached, but you
1:20:38 didn't paste anything, didn't I?
1:20:44 Oh, that's Oh, because because I copied
1:20:46 the wrong thing. I'm such a dumb dumb.
1:20:48 Copy. I copied the prompt, but not the
1:20:51 not the actual slides. Oops. Here are
1:20:55 the slides.
1:20:58 Boom. Okay, go.
1:21:03 [Laughter]
1:21:05 That was funny. Perfect. Now we've got
1:21:08 meat to work with. This is brilliant
1:21:09 content about AI prompting. Love the
1:21:12 journey from it prompts to you prompts.
1:21:15 Let me transform this into a visually
1:21:17 compelling presentation that matches the
1:21:20 energy of your message.
1:21:23 Creating some original backgrounds.
1:21:27 Yeah, this is nice. This is nice.
1:21:28 People, you see what's happening here?
1:21:33 I took my ugly Gen Spark slides into
1:21:35 Gamma. So good. I I tried to do
1:21:38 something in Gamma today and it didn't
1:21:40 work. it like they gave me like boring
1:21:42 generic corporate slides. So, I don't
1:21:44 know flipping which ones. Oh, that's
1:21:47 nice. Oh, nice image. All right, Manis
1:21:50 is doing its thing.
1:21:53 So, if you haven't seen one of these
1:21:55 agents work, the these are two of the
1:21:57 more popular ones. Genpark.ai.ai
1:22:01 and Manis.im.
1:22:03 Genspark.ai.
1:22:06 G N S P R A R K and Manisim
1:22:14 and they just go and do [ __ ]
1:22:19 All right, so it's making HTML. It's
1:22:21 coding. It's coding my slides right now.
1:22:26 Try harder.
1:22:30 Ann Murphy. Ann Murphy live live texting
1:22:34 me SMS messaging me while I'm on a live
1:22:37 knowing that I can't answer on my phone.
1:22:40 She's she's an irresponsible digital
1:22:44 digital person.
1:22:49 We're not gonna we're not going to
1:22:51 gender her one way or the other. She is
1:22:53 a digital person. I just gendered her.
1:22:56 Yep.
1:23:01 Ann's the best. So, tomorrow 400 pm
1:23:05 Mountain time, 3 PM on Ann's Coast, um 6
1:23:11 PM on the East Coast, we have the AI
1:23:14 readiness project podcast with Christian
1:23:17 Robbins, who's amazing. You're going to
1:23:20 love him.
1:23:22 So, come hang out with us, okay?
1:23:26 Okay.
1:23:29 Yeah, Christian's great, isn't he?
1:23:31 Digital diva. Ann, I don't I I don't
1:23:35 think you limit Anne to just a digital
1:23:37 diva.
1:23:39 I think she's I she I think she's a much
1:23:42 more expansive diva than that.
1:23:47 Which do you like more, Jen Spark or
1:23:49 Manis?
1:23:52 I think Manis is by far more robust,
1:23:57 but the fact that Manis gives you
1:23:59 document files as MD files, as markdown
1:24:03 files that if you don't know anything
1:24:05 about computers, you have to [ __ ]
1:24:07 deal with. It's annoying. Genpark Gen
1:24:10 Spark at least
1:24:13 has at least one cranky Gen Xer in the
1:24:17 UX department. So So I like I just like
1:24:20 Gen Spark. It's just friendlier,
1:24:23 but it's not necessarily better. It's
1:24:25 not necessarily better.
1:24:28 Um, but Manis is pretty impressive.
1:24:32 Wonder why it's making square images. I
1:24:35 don't I'm not grooving on that.
1:24:46 Oh, y'all weirdos. We're not weird. ware
1:24:49 regular.
1:24:53 Um, yeah, Brandon, just DM me on the AI
1:24:57 salon and we'll I'll I'll get that that
1:25:01 setting changed in Lovable. I I'm in the
1:25:04 Lovable Creators Network, so I can I'll
1:25:06 hop over to Discord if I can't figure
1:25:08 that thing out.
1:25:11 Manis gives me PDFs. Oh, that's cool.
1:25:14 Yeah. I mean, the thing about these
1:25:16 tools, they keep adding, you know, new
1:25:18 features all the time. So, this is a
1:25:21 really good category
1:25:23 um to pay attention to to the updates of
1:25:25 these tools if if you like these tools
1:25:28 because they're updating these things
1:25:30 like weekly. It's pretty amazing,
1:25:37 man. Made one of my presentations so
1:25:39 much better. Definitely not using
1:25:42 it as a result. Wait,
1:25:46 Mannis made your presentation better,
1:25:50 but you're not using it as a result. I
1:25:52 don't know what you mean.
1:25:57 I told Manis to go all 44 Idaho County
1:26:00 websites, pull landfill disposal rates.
1:26:03 Boom. It worked. Yeah, it's these things
1:26:08 like here here's the thing about these
1:26:11 these agentic tools right now. They are
1:26:15 janky. They are non-intuitive.
1:26:20 They're a mess.
1:26:23 But if you give them some grace, if you
1:26:25 embrace the jank and learn what they do,
1:26:29 the future of how we're going to use
1:26:31 computers is sitting inside these tools.
1:26:36 And it's not just going to be the
1:26:38 specific tools that you can do like
1:26:40 within the the the limited things that
1:26:42 these things do. Now, we're going to
1:26:44 have agents that are going to be like
1:26:46 this, but they use all the applications
1:26:48 on our computer. So, like, you know how
1:26:51 you've been meaning to teach yourself
1:26:53 Final Cut Pro or Logic? You're like, I
1:26:56 want to make music. Well, we're going to
1:26:58 be able to do things like go write a
1:27:00 song in Sunno, split it into stems,
1:27:03 import those stems into Logic, um
1:27:07 replace all of the pseudo generated
1:27:09 tracks with, you know, with uh you know,
1:27:12 Logic tracks
1:27:15 and and then remaster the song and it'll
1:27:19 just go off and
1:27:20 [Applause]
1:27:22 do that.
1:27:24 We're not there yet, but like this is
1:27:26 the
1:27:28 this is like the the the the command
1:27:30 line interface version of that. So, all
1:27:34 right. This thing looks like it's stuck.
1:27:37 How's GenSpark doing?
1:27:40 Still writing slides.
1:27:44 Can I
1:27:49 feed your prompt?
1:27:53 Where are you on the journey?
1:27:56 Oh, I see what it's doing here. These
1:27:58 aren't horrible. I mean, I think this
1:28:00 this slide's horrible.
1:28:08 Stop asking the wrong question.
1:28:11 But it's only doing seven slides and I
1:28:13 gave it 11 slides. What the [ __ ] up
1:28:15 with that?
1:28:36 I prefer this way rather than going
1:28:38 straight to gamma.
1:28:40 I convert the file to Word if I need it.
1:28:43 Yeah, I just copied and pasted the text.
1:28:46 I I guess I could download this as a
1:28:48 Word document
1:28:53 because I want to show you the
1:28:55 presentation. I think it's a good
1:28:56 presentation, but you don't want to see
1:28:57 it as a word document.
1:29:02 All right, this is finally onto another
1:29:04 image.
1:29:09 This is up to slide seven here. Let me
1:29:12 do a new.
1:29:14 Well, let me try gamma again because
1:29:18 um
1:29:19 Ann Murphy seems to think gamma is worth
1:29:21 it.
1:29:24 Gamma gamma.app
1:29:26 build decks instantly. Start for free.
1:29:31 Uh uh uh. I love gamma for
1:29:33 presentations.
1:29:35 Choose theme login.
1:29:39 I'm getting sleepy. My eyes are getting
1:29:42 sleepy.
1:29:44 I don't know what y'all are doing to me.
1:29:46 You're making me so
1:29:48 I'm so
1:29:53 All right.
1:29:55 Okay. So, here's a question.
1:30:04 Create new.
1:30:06 Paste in text.
1:30:11 Slide one through slide 11.
1:30:34 All right, there's my slides.
1:30:37 All right. Optional card bycard control.
1:30:42 Know what you want on each card. Add
1:30:44 three dashes between
1:30:48 each section. Okay.
1:31:12 Oh, I don't think I can do this because
1:31:14 I don't pay for it. I I think this can
1:31:16 only do nine slides without me paying
1:31:18 for it. That sucks.
1:31:23 I don't want to have to pay for [ __ ]
1:31:26 [Laughter]
1:31:29 Okay. Generate notes.
1:31:32 Generate from notes or an outline.
1:31:35 Summarize long text or document.
1:31:37 Preserve this exact text.
1:31:46 Turn rough ideas bullet points
1:31:48 summarize.
1:31:55 All right, let's try that. We'll we'll
1:31:57 just keep my text. So now
1:32:05 Fill in your outline.
1:32:07 Shorten content to be concise and
1:32:09 presentable.
1:32:11 Images fast flux.
1:32:14 Oh, imagine three
1:32:18 lumaf photon advanced models.
1:32:23 Flux context pro. Pay for it. [ __ ] you,
1:32:28 man. I don't want to pay for anything,
1:32:29 man.
1:32:31 I'm heavy on my scene, man.
1:32:34 Ideogram 3 turbo.
1:32:38 Imagine three. Oh, these are advanced
1:32:40 models. They're part of plus. Oh, I see.
1:32:43 Lumaf photon flash.
1:32:46 Imagine three flash.
1:32:50 I don't know which one's better.
1:32:56 You might get away with fewer slides if
1:32:57 you don't specify the amount of slides
1:32:59 you want. Ah, that's smart.
1:33:03 Ah, you're limited to generating 10
1:33:04 cards at a time on your current plan.
1:33:07 And I have 11. Well, I'll kill slide I
1:33:10 can kill I can kill slide one.
1:33:16 Trash.
1:33:18 Nah, I'll keep slide one. I'll kill the
1:33:20 I'll kill the conclusion slide.
1:33:26 All right.
1:33:35 image style. Um,
1:33:45 analog
1:33:49 paper
1:33:51 craft
1:33:55 combined
1:33:58 with
1:34:01 claymation
1:34:04 and we're going to do flux fast or we're
1:34:07 going to do
1:34:10 artistic styles. Yeah, we'll do that.
1:34:32 Okay,
1:34:36 continue. See, now I got to pick a
1:34:38 theme. This This is what always bugs me
1:34:40 out, man. It bugs me out, man.
1:34:45 I don't feel like picking a damn theme.
1:34:48 Although, I kind of like that one.
1:34:54 Like everything just looks like [ __ ]
1:34:56 to me.
1:35:01 Am I just bitter? I'm bitter, right?
1:35:04 He's a little bitter. He's a little
1:35:07 bitter. No, he's Well, he doesn't he
1:35:11 doesn't really know know what he's
1:35:12 doing. No, he doesn't. And but he's
1:35:16 angry about it. But yeah, he started the
1:35:20 channel, right? So it's called the AI
1:35:21 learning lab and he's like the professor
1:35:22 except if he had a professor that didn't
1:35:24 know what he was talking about and
1:35:26 really had no credentials or
1:35:29 qualifications, it would it would be
1:35:30 like that.
1:35:32 And then but he but he's confident,
1:35:34 right? It's it's like it's like it's
1:35:36 like a mansplaining channel. Like you
1:35:38 come there and he'll mansplain anything.
1:35:40 You can ask him anything, he'll answer
1:35:41 it. He's good at that. But
1:35:44 he doesn't
1:35:46 I'm sorry. What? Oh, why do I watch it
1:35:50 every night? Um
1:35:53 I I I'm just I'm going to go pick
1:35:56 another theme now.
1:36:03 Do I want green? No, this is about
1:36:06 prompting. But it's about humanity.
1:36:10 I don't know people.
1:36:13 I don't know what to say.
1:36:16 That's kind of cool. Is that cool? Is
1:36:18 that cool? It's not really cool.
1:36:23 That's a little cold. A little warm.
1:36:27 That's jokey.
1:36:29 That's awful.
1:36:37 [Music]
1:36:42 Pink is fantastic.
1:36:47 That's awful.
1:36:52 All right, we'll do that one. Whatever
1:36:54 the [ __ ]
1:36:56 Generate. All right, let's go back to
1:36:59 Manis.
1:37:03 I'll just pick one for [ __ ] sake.
1:37:05 Thank you. An
1:37:08 ADHDers watching ADHDers unable to make
1:37:12 decisions
1:37:22 because you're special.
1:37:26 Let Gamma do its thing. All right. I
1:37:28 did. I am. All right. Mattis is still
1:37:30 thinking. Is Gen Spark done? Oh, it did
1:37:33 11 slides. Okay. So, let's go. Let's go
1:37:37 watch our view and export.
1:37:44 Feed the pro feed your prompt. This is
1:37:47 this this slide obviously needs to go.
1:37:51 We need to we need to have like a prompt
1:37:53 thing with a mouth in it, you know, like
1:37:56 a prompt uh like a prompt the prompt
1:37:59 hole. We need the prompt hole with a
1:38:00 mouth around it. It'll say feed your
1:38:03 prompt
1:38:04 and then amplify yourself and your team
1:38:06 with AI.
1:38:08 So this is the new this is the new
1:38:10 presentation.
1:38:12 Uh except it's not oh you got to go
1:38:14 right. Okay. So first thing I'm going to
1:38:17 do is I'm going to ask the the audience
1:38:18 where they are on the five stages of AI
1:38:21 adoption. That'll be fun. And then I'm
1:38:23 going to say you got to stop asking the
1:38:26 the the wrong question. So, we've got to
1:38:29 switch from asking, "How do I get the
1:38:30 most out of AI?" to asking, "How do I
1:38:34 get the most out of myself with AI?"
1:38:37 AI is not a genius. It's an amplifier.
1:38:40 And you get to choose what it amplifies,
1:38:44 right? It's not the genius tool. You're
1:38:47 the genius. All it's doing is amplifying
1:38:50 whatever you put in the prompt box. And
1:38:55 the prompt is hungry. The prompt is just
1:38:57 sitting there ready to eat. It'll devour
1:38:59 anything you feed it. So if you give it
1:39:02 what I call an it prompt, like you treat
1:39:04 it like a tool. You treat it like an it.
1:39:07 You're going to feed it a generic input
1:39:09 and then you're going to get out hollow,
1:39:10 generic, forgettable results. And this
1:39:13 is what most people do. The reason most
1:39:15 people who give up on AI give up on AI
1:39:19 is they treat it like an it. Like ah
1:39:22 just go make me a marketing plan. and
1:39:24 they're like, "That's a stupid marketing
1:39:25 plan." And they quit. As opposed to a
1:39:28 you prompt, that thing is hungry. And if
1:39:31 you feed it you,
1:39:34 your intent, your struggle, your style,
1:39:36 your stakes, generative AI comes to
1:39:39 life, right? This is when the magic
1:39:41 happens. So, so you you feed it things
1:39:45 like your goals, your challenges, your
1:39:48 voice, your dreams, your questions, your
1:39:50 your ideas.
1:39:54 So a you prompt doesn't need per um
1:39:58 perfection. It needs presence. It needs
1:40:00 you. So you got to feed your prompt you.
1:40:03 All right. Um so what is feeding the
1:40:05 prompt? So feeding a prompt isn't about
1:40:07 knowing the right words. It's about
1:40:09 offering the right context. So an IT
1:40:11 prompt would be something like this.
1:40:13 Write a blog post for designers.
1:40:16 Right? We've all written that prompt.
1:40:19 Write me an email.
1:40:22 No. A you prompt. I'm a confident early
1:40:25 career coach that used to be insecure.
1:40:28 Write a blog post in my voice for
1:40:30 entry-level designers focusing on
1:40:32 confidence using a tone that's warm but
1:40:35 direct. Better prompt, better result,
1:40:38 right? Make sense? And then here's the
1:40:42 thing that I heard this on. It might
1:40:44 have been with Ann Murphy in in one of
1:40:46 our podcasts. I think it might have
1:40:49 been. Was it
1:40:52 who was on last with us anyway. She
1:40:54 said, "Before you prompt," it might have
1:40:56 been Tracy, the safety lady. She said,
1:40:58 "Before you prompt, take a moment, close
1:41:00 your eyes,
1:41:02 and ask yourself questions like, what am
1:41:04 I trying to make? Why does this matter?
1:41:07 Who's this for? What does success look
1:41:10 like?" Like, think about what you want
1:41:13 out of what you're intending to do with
1:41:16 your your chat GPT. So rather than
1:41:18 thinking like you know what's the best
1:41:22 way to write a pro prompt just check in
1:41:25 with yourself about what are you trying
1:41:26 to accomplish?
1:41:28 What difference do you want to make in
1:41:29 the world
1:41:33 before you write anything? Just check in
1:41:35 with yourself.
1:41:37 And then we've created this thing called
1:41:40 a prompt ladder. And the prompt ladder
1:41:41 is basically like you can start out with
1:41:43 like a snack. Like you're going to feed
1:41:46 your prompt. You could feed it a snack.
1:41:48 Write a headline about remote work. Or
1:41:50 you could step it up and make it a bit
1:41:52 more of a, you know, bit more of a meal.
1:41:55 You add some tone and some audience and
1:41:57 some outcome. Write a playful headline
1:41:59 about remote work for a blog aimed at
1:42:02 startup founders, right? So, you're
1:42:04 putting a little more meat on the bone.
1:42:05 The next one is um uh layer in goals and
1:42:11 structure. So, write three possible
1:42:13 headlines for thought leadership blog
1:42:15 post on remote work. aimed at a
1:42:17 skeptical startup. Skeptical startup
1:42:19 founders using a tone that's confident,
1:42:21 persuasive, and informal. Um, and then
1:42:25 do these things work? No.
1:42:29 Oh, that's a drag.
1:42:32 Huh. So, I've got multi-step. So, so
1:42:35 when you get to the buffet, it's things
1:42:37 like write one prompt for an LLM, write
1:42:40 another prompt for an image generation
1:42:41 tool, write another prompt for an audio
1:42:43 tool, things like that.
1:42:46 For project planning, which do you
1:42:47 prefer, Manis or Gen Spark? I don't do a
1:42:50 ton of project planning. I would think
1:42:52 Manis would probably be better at that
1:42:54 than GenSpark, but Gen Spark's pretty
1:42:56 flipping good. I like what I'm doing
1:42:58 here where we're sort of comparing these
1:43:00 different tools is not bad. Um, it's not
1:43:03 one and done. So, one of the myths about
1:43:06 um about AI is you push a button and out
1:43:09 comes content. No, no, no. Be the
1:43:11 producer.
1:43:13 When chat GPT gives you stuff, look at
1:43:17 it. Is it any good? If it's shitty, tell
1:43:20 it it's shitty. You be like the mini
1:43:22 Rick Rubin in there figuring out what
1:43:25 what you like.
1:43:27 Um,
1:43:29 and then this is a shift from writing
1:43:31 prompts for me as an individual to us as
1:43:33 a team, from me to we.
1:43:36 And then, uh, takeaway challenge, do it
1:43:39 10 minutes a day. So anyway, there it
1:43:40 is.
1:43:43 slides are a little wordy. I'll give you
1:43:45 that.
1:43:54 That's how my 82year-old dad works with
1:43:56 AI.
1:44:00 Um, all right. Do we have any other Did
1:44:02 Did Gamma give us something?
1:44:05 Feed your prompt. What's it doing? Oh, I
1:44:08 guess it's Oh, it's writing the
1:44:11 presentation.
1:44:16 [Music]
1:44:21 All right, it's doing its thing. This
1:44:24 looks cool.
1:44:27 Like what you created? Did it do 11? Oh,
1:44:30 it did 10.
1:44:35 It didn't do the style I gave it. Feed
1:44:37 your prompt. Amplify yourself and your
1:44:39 team with AI.
1:44:42 Present.
1:44:46 It's pretty clean.
1:44:48 Where are you on the journey?
1:44:52 Oh, I have a question for anyone that
1:44:54 knows gamma. Can you do builds?
1:44:58 So, like if I click on this thing, can I
1:45:00 make can I make these things build?
1:45:07 anyone
1:45:11 can you send to me so I can learn and
1:45:14 say on the podcast?
1:45:17 Yeah, I'll send this to you. You mean
1:45:18 the the the eat eat your prompt or feed
1:45:21 your prompt
1:45:23 presentation.
1:45:31 Look, feed the prompt. I like that image
1:45:34 actually.
1:45:36 [Laughter]
1:45:46 What the prompterly eats? I think you
1:45:48 can
1:45:51 just regenerate in a different style.
1:45:54 Okay,
1:45:56 I did. I'd like it, too.
1:45:59 All right, I'll sh I'll share this
1:46:01 somewhere. I I I want to get it like in
1:46:03 some sort of usable fashion.
1:46:13 Yeah, this is pretty slick.
1:46:16 But like that thing killed killed my
1:46:18 examples.
1:46:20 So, in fact, I think what I should
1:46:22 probably do,
1:46:24 let me go back and start over. Create
1:46:27 new. Paste in as text. Paste. Oops.
1:46:33 Well, we'll paste that.
1:46:36 I'll go here.
1:46:40 I'll copy that. We'll go here.
1:46:45 I'll do that.
1:47:08 real work is boring. You know that,
1:47:10 right?
1:47:12 Yeah. Yeah. We're here, Kyle. We're
1:47:14 We're very well aware that what you're
1:47:16 doing right now is not compelling live
1:47:18 streaming.
1:47:22 I've I've watched Twitch battles that
1:47:25 were were more exciting than this.
1:47:29 They they were playing gardening
1:47:32 simulation games and it was more
1:47:33 exciting than this, Kyle.
1:47:41 [Music]
1:47:47 I don't think I need the slides numbered
1:47:50 here, do I? I don't think it matters.
1:47:51 It'll just eat that [ __ ] Right.
1:47:58 [Music]
1:48:03 So, the reason I'm redoing this is I had
1:48:05 it shorten make the slides more concise,
1:48:09 which is good, but it took away all my
1:48:11 examples. So
1:48:14 I think I will edit myself after.
1:48:21 Okay. Generate preserve the exact text
1:48:26 and then
1:48:29 images. I chose imagine three. Let's try
1:48:35 luma this time. Um
1:48:41 let's see.
1:48:42 Torn paper craft
1:48:47 luma flash images format preserve. So
1:48:51 we're going to preserve what we've got.
1:48:53 Optional instructions.
1:48:57 Um
1:49:00 give slides builds
1:49:07 generate.
1:49:09 Ah now I got to pick a theme again. Come
1:49:11 on, people.
1:49:14 All right, we'll do the gold one. We'll
1:49:15 do it live. We'll do it live.
1:49:18 [Laughter]
1:49:21 I already like gamma better. Yeah,
1:49:23 Gamma's slick. Like I I I will give
1:49:26 Gamma that it's slick.
1:49:28 I I would say in terms of slickness,
1:49:30 Manis is the lowest. Manis is like a
1:49:33 three out of ten on slickness, but Manis
1:49:36 is like a nine out of ten on holy [ __ ]
1:49:38 they got some stuff going on. Genpark is
1:49:42 like a five, maybe a six on slickness
1:49:47 and kind of like an eight on they got
1:49:50 some [ __ ] going on. And then gamma is
1:49:55 like high slickness, right?
1:50:01 eight 8.2 on slickness
1:50:06 and then,
1:50:08 you know, six, five, six on on [ __ ] it's
1:50:12 doing. But I don't I don't use these
1:50:15 tools a lot, so I really don't know.
1:50:17 There's there's probably people in here
1:50:19 that know this [ __ ] way better than I
1:50:20 do.
1:50:22 [Music]
1:50:31 Feed your prompt. Amplify yourself and
1:50:35 your team with AI.
1:50:39 Yes, rather.
1:50:43 Where are you on the AI readiness
1:50:45 journey?
1:50:48 Stop asking the wrong question.
1:50:51 What the prompt really eats
1:50:55 devours anything you feed it. What is
1:50:59 feeding your prompt? It's about context,
1:51:01 not keywords.
1:51:07 Yeah. See, I just don't like I feel like
1:51:10 a lot of the things that this does are
1:51:11 like really traditional
1:51:14 presentation things, which I don't like.
1:51:18 All right, whatever.
1:51:20 Manis, is this done?
1:51:25 Manis creation as an interactive website
1:51:31 slides
1:51:33 view.
1:51:39 All right. All right. All right. Mana,
1:51:42 stop showing off already.
1:51:46 How do you go into presentation mode? Do
1:51:48 you
1:51:51 Vicki, what do you do with these once
1:51:53 they're done in Manis? Oh, download.
1:51:58 Convert to Google Slides.
1:52:00 All right, let's [ __ ] try that.
1:52:05 Cool slides. All right. All right. Manis
1:52:10 man is coming in flexing hot.
1:52:16 Download it to Google Slides. Yeah,
1:52:18 exactly.
1:52:20 I'm cooking while Kyling. That's That's
1:52:22 unfortunate.
1:52:27 Kyle, have you seen Chat GPT voice
1:52:29 getting frozen? No, but there's a new
1:52:31 chat GPT voice. So, Danielle had this
1:52:36 months ago, like two months ago.
1:52:38 Danielle got the new voice. I just got
1:52:40 it. So, we can we can talk to I know we
1:52:43 got to go. It's getting to be late, but
1:52:46 the [ __ ] is this?
1:52:50 It put white text on a white background.
1:52:54 Seriously, Mannis, you can do better
1:52:55 than this.
1:52:58 All right, whatever. Let's change it to
1:53:02 How do I do this? Uh, shape
1:53:06 fill color
1:53:08 none. Where's none?
1:53:12 Uh, transparent.
1:53:15 No.
1:53:18 Fill color
1:53:20 gray. Fine.
1:53:45 All right, that's horrible, but
1:53:47 whatever. Let's go into presentation
1:53:49 mode.
1:53:54 Where is it? Uh, slideshow.
1:54:02 Feed your prompt.
1:54:04 Yes. Carry on. Rather. Yes. Carry on.
1:54:08 Carrying on. Rather. Yes. Cheerio. Pip.
1:54:13 Oh, what have I done? Down.
1:54:18 Oh, this is something that Manis does.
1:54:20 Vicki, have you noticed this? It
1:54:21 programmed [ __ ] off the slide.
1:54:31 Oh my god. All right. Well, listen.
1:54:33 Here's the good news. The good news is
1:54:37 I have a presentation that it can at
1:54:39 least recognize the structure of. The
1:54:42 bad news is I think I actually have to
1:54:44 do my own [ __ ] presentation for
1:54:46 tomorrow because these are all uglier
1:54:49 than [ __ ]
1:54:51 Let's see if Let's see if Gamma's going
1:54:53 to save the day. Come on, Gamma. You can
1:54:56 do it.
1:55:01 [Music]
1:55:15 Oh, yeah. We saw this one. This was the
1:55:17 one. Yeah, we saw that.
1:55:19 Ain't nobody got time for that. All
1:55:22 right. Uh, Manis, we did the new Gen
1:55:26 Spark. No, the old Gen Spark. No, we're
1:55:29 good. We're all All right.
1:55:35 I did have to request edits, but I did
1:55:38 look at the slides before I downloaded
1:55:40 them. Yeah, that see
1:55:44 you having actual executive function is
1:55:49 kind of a flex.
1:55:51 Random thoughts by TK plus AI uses
1:55:53 Google Slides. Photoor is another
1:55:56 presentation tool. years ago I used to.
1:56:01 Are you crispy? I'm totally crispy.
1:56:04 Man is coming in hot. Maybe the geekst
1:56:06 thing Kyle has ever ever said.
1:56:13 Oh, good lord. Good people. All right, I
1:56:16 will get this in some sort of form
1:56:18 that's sharable.
1:56:20 I think I'll probably just get up early
1:56:22 tomorrow morning and go to work and just
1:56:24 just build build something. I I might
1:56:27 start with one of these as a base, but I
1:56:29 I think even that it's going to be more
1:56:30 work to just I don't know. I don't know.
1:56:34 We'll see. But I got to give this
1:56:36 presentation tomorrow and I don't know
1:56:38 it.
1:56:41 It's a typical ADD thing where rather
1:56:44 than just presenting something I've
1:56:46 presented before, I'm like, I know, I'll
1:56:49 just whip up a little something new.
1:56:54 Oh, and by the way, Ann, so you'll
1:56:56 you'll appreciate this. So,
1:57:00 I was told I was going to be speaking on
1:57:02 a Thursday for this Denver, whatever it
1:57:05 is, hub thing.
1:57:07 And then I get the invite at the
1:57:09 beginning of the this week, this week,
1:57:10 and it's like, it's Wednesday. And I'm
1:57:12 like, no, it's Thursday. I've got it
1:57:14 Thursday on my calendar. Oh, no, it's
1:57:16 Wednesday. So,
1:57:19 I'm speaking from 3 to 4 and then they
1:57:23 have a conference room set up for me.
1:57:25 So, I'm going to literally like hop off
1:57:27 stage at 5 minutes to 4,
1:57:31 go into a conference room and log into
1:57:33 StreamYard. So, I should be I should be
1:57:36 good to go.
1:57:41 Do a retro presentation. I might. I I
1:57:44 don't know what I'm going to do yet.
1:57:46 What time do you need it by? Well, I've
1:57:48 got to have it I've got to have it kind
1:57:50 of done by um
1:57:55 like Well, well, so so tomorrow's
1:57:59 Wednesday, so I take I take my one son
1:58:01 down to the doctor at 7 in the morning,
1:58:05 drop him off at 8, drive an hour to the
1:58:08 office,
1:58:10 then I've got a 9:00 pitch, a 10:00
1:58:12 pitch.
1:58:16 I think I have something at 11:30. Then
1:58:18 I have to go back down and pick him up.
1:58:22 Then I have to come back for a 1:30
1:58:24 meeting and then I speak at 3 at a
1:58:28 different location. So somewhere in
1:58:30 there I have to write a presentation.
1:58:34 If you need help, I could do two to
1:58:36 three options. Shoot me a message if you
1:58:38 want help. Oh, TK, that's very sweet. I
1:58:40 think I'll be okay. I think I'll be
1:58:42 okay. I'm just whining. I'm just I'm
1:58:45 just I'm just gunning for sympathy here.
1:58:51 Oh, man. All right, everyone. Let me get
1:58:53 out of here. Um I listen, I know tonight
1:58:56 was a little eh whatever, but you know,
1:58:59 that's how that's how it rolls. That's
1:59:00 how it rolls. The prompt ladder is
1:59:03 making me hungry.
1:59:06 Um
1:59:07 all right, cool. Um so tomorrow's
1:59:10 Wednesday. I do my speech at three, the
1:59:15 AI readiness podcast with Ann at 4.
1:59:21 Do I have something at 5:30?
1:59:24 I may have something at 5:30 and then
1:59:26 I'll see you here at 8.
1:59:29 So, you think I'm crispy and shitty
1:59:31 tonight? You wait till tomorrow. It's
1:59:33 going to be awesome.
1:59:38 Peace out, everyone. Have a good night.