AI Learning Lab

8/19/2025 - Generative AI: A Collaboration with Ghosts

Fdm3JitzNyE
Live Stream2025-08-201:34:3986 views

Description

AI is going to be big. You know what's bigger? Your POV + AI In a late-night live stream, Kyle embarked on a creative experiment using AI tools. He began by prompting ChatGPT for unique character descriptions and locations, then used these descriptions to generate visuals in Midjourney. Kyle aimed to create a song inspired by the resulting images, using ChatGPT to develop a backstory and lyrics before composing the music with Producer.ai. He highlighted the fulfilling aspect of this improvisational process, describing it as a collaboration with the "ghosts" of past creatives whose work trained the AI. Kyle's process involved cycles of prompting, generating, and refining, showcasing the iterative nature of AI-assisted creative work. He experimented with different models within ChatGPT, noting the nuances in their writing styles and backstories. Despite technical challenges, Kyle persisted, demonstrating the potential of AI for sparking inspiration and streamlining creative workflows. He concluded the stream by recommending against using computers with AI, humorously attributing the technical difficulties to his infrequent computer restarts. 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/5460595014369280 #AI #Creativity #GenerativeAI #MusicProduction #ChatGPT #Midjourney #ProducerAI #CreativeImprov Chapters: 00:00:00 Opening Song 00:00:19 Strange Encounters 00:02:38 Evening Greetings 00:03:22 Freedom's Arrival 00:03:54 Show Introduction 00:05:06 Topic Discussion 00:05:35 Twerk Threat 00:06:32 Pika Talk 00:07:21 Car as Train 00:08:45 Freedom's Burden 00:09:10 New Idea 00:09:26 Meet and Greet Recap 00:09:49 Contract Creation 00:10:46 Another Idea 00:11:02 The Olden Days 00:11:36 Dolly Image Generator 00:12:24 Sophisticated Roundtripping 00:13:35 The Regulars 00:14:12 Starting in Chat GPT 00:14:56 Channeling Past Entities 00:16:34 Technical Difficulties 00:17:00 Another Attempt 00:18:10 Producer Brandon's Wisdom 00:18:36 Broken Speech 00:19:21 Microphone Issues 00:19:46 Archetypal Architect 00:20:11 Typing the Prompt 00:22:15 Knuckles McGary 00:22:43 Cynical Chat GPT 00:23:33 Visual Style Matching 00:24:30 Midjourney Madness 00:25:19 Spilled Milk Rosenblat 00:25:31 Burnt Toast Duca 00:26:52 Method to the Madness 00:27:51 Thinking Mini Model 00:29:49 Pin Pen's Arrival 00:30:30 Ten More Characters 00:31:01 YouTube Comment 00:31:24 Story Format 00:32:11 Overly Complicated Prompts 00:32:38 Mary Mary's Question 00:34:15 Understanding the Plan 00:35:07 Pleasant Fellow 00:35:32 Ten New Characters 00:35:46 Songworthy Image 00:36:14 Blood on the Dress 00:36:34 Hemingway Lookalike 00:37:02 Wiry Man 00:38:03 Low Motion Animation 00:38:31 Remarkable Approach 00:39:04 Too Many Choices 00:40:01 Starter Images 00:41:14 Slow Midjourney 00:42:03 Explaining the Process 00:42:26 Back to Chat GPT 00:42:37 Nuances of Writing 00:43:23 Analyzing Other Stuff 00:43:49 Story Time 00:45:17 Temporary Chat 00:46:33 GPT5 Thinking Mini 00:47:30 GPT5 Thinking 00:48:11 Playing Along 00:49:17 Two Different Prompts 00:51:23 Network Connection Lost 00:51:55 Different Prompt 00:52:34 New Chat 00:53:39 Interesting Thought 00:53:52 Family Story 00:55:24 Mother and Son 00:57:15 Song Lyrics Request 00:57:46 Song in Detail 00:59:09 Producer.ai 00:59:37 Audio Error Message 01:00:06 Crazy Login 01:00:42 Producer's Capabilities 01:01:31 Lowfi Idea 01:02:25 Provided Lyrics 01:04:26 Remarkable Song 01:04:50 Image Selection 01:07:31 Song Critique 01:09:01 Creative Improv 01:10:01 Cleaned Lyrics 01:11:44 Duet Loss 01:12:24 Creative Collaboration 01:13:38 Grammy Aspirations 01:14:19 Melody Change 01:14:32 Lesson Video 01:15:26 Stage Directions Removal 01:16:08 Phonetic Spelling 01:16:44 Final Song Request 01:17:28 Fascinating Observation 01:19:57 Producer Brandon's Insight 01:20:08 First Version 01:21:46 Downloading the Song 01:22:35 QuickTime Player 01:23:59 Splitting the Clip 01:24:48 Saving the Chorus 01:25:10 Sunno Time 01:26:14 File Format Issues 01:27:20 M4A to MP3 01:28:52 Streaming Trouble 01:29:06 Reboot Recommendation 01:29:39 Final Upload 01:30:00 Show Conclusion 01:30:37 Important Lesson 01:31:04 Qualifications Question 01:31:24 Coherent Sentence Apology 01:31:35 Upcoming Events 01:33:33 Final Farewell

Chapters

0:00Opening Song0:19Strange Encounters2:38Evening Greetings3:22Freedom's Arrival3:54Show Introduction5:06Topic Discussion5:35Twerk Threat6:32Pika Talk7:21Car as Train8:45Freedom's Burden9:10New Idea9:26Meet and Greet Recap9:49Contract Creation10:46Another Idea11:02The Olden Days11:36Dolly Image Generator12:24Sophisticated Roundtripping13:35The Regulars14:12Starting in Chat GPT14:56Channeling Past Entities16:34Technical Difficulties17:00Another Attempt18:10Producer Brandon's Wisdom18:36Broken Speech19:21Microphone Issues19:46Archetypal Architect20:11Typing the Prompt22:15Knuckles McGary22:43Cynical Chat GPT23:33Visual Style Matching24:30Midjourney Madness25:19Spilled Milk Rosenblat25:31Burnt Toast Duca26:52Method to the Madness27:51Thinking Mini Model29:49Pin Pen's Arrival30:30Ten More Characters31:01YouTube Comment31:24Story Format32:11Overly Complicated Prompts32:38Mary Mary's Question34:15Understanding the Plan35:07Pleasant Fellow35:32Ten New Characters35:46Songworthy Image36:14Blood on the Dress36:34Hemingway Lookalike37:02Wiry Man38:03Low Motion Animation38:31Remarkable Approach39:04Too Many Choices40:01Starter Images41:14Slow Midjourney42:03Explaining the Process42:26Back to Chat GPT42:37Nuances of Writing43:23Analyzing Other Stuff43:49Story Time45:17Temporary Chat46:33GPT5 Thinking Mini47:30GPT5 Thinking48:11Playing Along49:17Two Different Prompts51:23Network Connection Lost51:55Different Prompt52:34New Chat53:39Interesting Thought53:52Family Story55:24Mother and Son57:15Song Lyrics Request57:46Song in Detail59:09Producer.ai59:37Audio Error Message1:00:06Crazy Login1:00:42Producer's Capabilities1:01:31Lowfi Idea1:02:25Provided Lyrics1:04:26Remarkable Song1:04:50Image Selection1:07:31Song Critique1:09:01Creative Improv1:10:01Cleaned Lyrics1:11:44Duet Loss1:12:24Creative Collaboration1:13:38Grammy Aspirations1:14:19Melody Change1:14:32Lesson Video1:15:26Stage Directions Removal1:16:08Phonetic Spelling1:16:44Final Song Request1:17:28Fascinating Observation1:19:57Producer Brandon's Insight1:20:08First Version1:21:46Downloading the Song1:22:35QuickTime Player1:23:59Splitting the Clip1:24:48Saving the Chorus1:25:10Sunno Time1:26:14File Format Issues1:27:20M4A to MP31:28:52Streaming Trouble1:29:06Reboot Recommendation1:29:39Final Upload1:30:00Show Conclusion1:30:37Important Lesson1:31:04Qualifications Question1:31:24Coherent Sentence Apology1:31:35Upcoming Events1:33:33Final Farewell

Transcript

0:00 [Music]
0:11 Girl looking
0:15 find a night
0:18 [Music]
0:19 fellas got you in his sight.
0:26 What you doing with a clown like me?
0:32 You're surely one of life's little
0:36 [Music]
0:38 mystery.
0:40 So down at last
0:46 [Music]
0:49 I ever
0:51 [Music]
0:52 love.
0:55 What did I do?
0:58 What did I say
1:01 [Music]
1:04 to turn your angel as my way?
1:11 [Music]
1:37 Woohoo!
1:44 [Music]
1:46 Hey! Hey!
1:51 [Music]
1:56 Look at her.
2:03 [Music]
2:15 [Music]
2:38 Good evening, good people.
2:41 [Music]
2:42 Come
3:12 here.
3:14 [Music]
3:23 Freedom came my way that night.
3:27 [Music]
3:30 Just like a jet plane in and out.
3:36 I was hauling ass at a million miles an
3:40 hour.
3:42 wondering how hard I'd hit
3:49 when they came into the station.
3:54 Yeah. Um, what's happening good people?
3:58 It is Tuesday night. I've got the hair a
4:00 little under control. It was wild
4:02 before. Producer Brandon was like, "Get
4:05 to get you in hair and makeup, boy."
4:07 We took care of it. All's good now. Uh,
4:10 no one's on TikTok. We got a few people
4:12 over on the YouTube. Good day everybody.
4:14 How is it going?
4:20 [Music]
4:31 [Music]
4:38 [Music]
4:48 Now
4:52 [Music]
5:06 Oh man. All right. What are we going to
5:08 talk about tonight? What do you want to
5:09 talk about? What are we going to talk
5:12 about? People, good people. Good people
5:15 of the internet. Hey, good people.
5:23 All right. Fantastic. Fantastic. We got
5:26 six people on Tik Tok. Seven.
5:29 Do I have seven? Seven people on Tik
5:31 Tok.
5:35 Enjoy party steo.
5:37 [Music]
5:50 I could do that. I'll tell you what, if
5:52 we don't get more people on TikTok, I'm
5:54 going to twerk. I'll do it. I'll
5:56 flipping do it. You know, I'll do it.
5:59 Did you see me in my little Catholic
6:00 schoolgirl outfit? I thought I looked
6:02 cute.
6:04 [Music]
6:33 Talk about pika.
6:35 Irregulars on
6:38 what? What does that say?
6:42 I cannot read that for the life of me.
6:44 Oh, Irregulars on Netflix 101.
6:47 [Music]
7:21 in a westerly
7:23 direction.
7:28 This car is my train.
7:33 [Music]
7:34 Been driving. I've been wondering
7:38 what it is I want from again.
7:43 Feel like an 8-year-old man
7:47 holding on a 29.
7:52 head on that horizon.
7:55 [Music]
7:57 This California line
7:59 [Music]
8:06 up ahead of trucks carrying a wide load.
8:12 Preab house cut in half.
8:16 Cute little front door and two windows.
8:18 My love
8:20 ain't sure whether a cry should laugh.
8:25 You see, I broke a home up myself once.
8:29 As I stumbled to that door,
8:34 I read a note by the dawn light.
8:38 It said, "Don't you come around here
8:43 anymore."
8:46 Well, I've had enough.
8:51 How this freedom of
8:55 never was good with decision.
8:59 At least that's what I've been told.
9:02 [Music]
9:11 Um, I just had an idea something we
9:14 could do tonight.
9:15 Um,
9:19 thank you, Silver Fox.
9:22 Thank you. Thank you. Thank you.
9:26 If you missed it tonight, we had a
9:28 really good meet and greet. We had a
9:29 special edition meet and greet where we
9:32 uh we officially launched the uh AI
9:35 readiness training program
9:38 and uh
9:41 we brought back speakers from AI
9:43 Festivus who caught us up on where they
9:45 were. It was really good. It's really
9:46 fun. My multitasking this evening is
9:49 creating contracts.
9:52 Do I know what I'm doing?
9:56 No, but chat GPT does. There you go.
10:00 So, what I thought might be kind of fun.
10:03 [Music]
10:19 All
10:47 right. I have an idea. I have an idea.
10:50 All right, for anyone who didn't come
10:52 tonight, they're losers. What are we up
10:55 to? 16. All right,
10:58 here's what we're going to do.
11:03 I just remembered there was a thing.
11:05 Sorry, I don't I don't know why I'm hair
11:09 obsessed tonight, but you know,
11:13 feel like I've got a tick.
11:17 um
11:19 like like a a physical tick, not the
11:22 insect tick.
11:25 Two different ticks. Not important right
11:27 now. Here's what I thought might be fun.
11:30 So, do you remember back in the olden
11:32 timey days, like two years ago,
11:36 there was a thing called
11:48 It was it was when Dolly
11:52 when the Dolly image generator first
11:54 came out. It was this second separate
11:57 experience. You'd made made images in a
11:59 different place than you made. No, it
12:01 was in the same place. Still in chat
12:03 GPT.
12:05 But chat GPT roundtpping was you would
12:09 generate an image,
12:12 then you would have chat GPT describe
12:14 the image,
12:16 then you would use that description to
12:18 create another image, and then you would
12:19 do that in cycles.
12:25 So, what if we did a sophisticated
12:27 version of that tonight?
12:29 We'll start in chat GPT. Maybe we'll
12:32 start somewhere else.
12:37 wherever. We'll start somewhere. We'll
12:39 get some ideas for visuals. Then we'll
12:42 go to midjourney. We'll make a bunch of
12:44 visuals using some some random sref
12:48 style references.
12:52 Then we'll come back to chat GPT.
12:57 Tell us the backstory of the image.
13:11 Then once we have the backstory of the
13:13 image, we'll have us have it write us
13:15 lyrics for a song. Then we'll go to
13:18 producer.ai,
13:20 make the song,
13:28 then maybe we'll start to make a video.
13:30 I don't know how much of that will get
13:31 done, but that'll be fun.
13:35 Oh my god. A show called the regulars.
13:41 Get it? Yeah, exactly.
13:50 [Laughter]
13:55 All right. All right. That's a good
13:57 point. But we can do this fast. Crazy
14:03 little thing called love.
14:07 [Music]
14:12 All right, let's see. Where are we going
14:15 to start? Start in chat. GPT. Yeah.
14:19 Yeah, we'll start in the chat. Japa.
14:22 All right, let me I've got to share my
14:24 screen apparently. Apparently.
14:27 Apparently.
14:28 Apparently I gotta share my screen.
14:31 Apparently
14:34 because apparently
14:36 I got to share my screen.
14:39 Okay, here we are.
14:56 I want you to act
15:01 like you're channeling
15:06 people from times past.
15:09 And I want you to describe
15:12 10 different unforgettable characters
15:14 that didn't really
15:17 exist.
15:19 And I want them to all exist
15:22 in some really unique town or really
15:24 unique place. And I want them to have a
15:27 nickname. And I want them to have a
15:28 backstory. And I want you to describe
15:31 them physically in excruciating detail.
15:37 Period.
15:40 Oh, no.
15:45 I want you to act like you're channeling
15:49 entities from another time. And I want
15:53 the people that you're channeling to be
15:57 unforgettable and unique and black sheep
16:01 within their communities.
16:04 And I want their
16:07 locations to be as interesting as they
16:10 are.
16:12 And I want you to explain them in
16:15 excruciating detail
16:17 and the place in excruciating detail and
16:20 how old they are and anything
16:23 interesting about representing them
16:27 visually. And I want 10 of them. Go.
16:34 Oh, come on. Seriously.
16:46 Okay. I'm hating life.
16:49 I'm hating life. We got to reload. I
16:52 might have to restart.
16:55 Talk at you. Can I talk at you? Will you
16:58 write it down?
17:01 This looks better. Okay.
17:06 All right. I hope this works this time.
17:09 I want you to channel I want you to act
17:12 as someone who can channel people from
17:14 other times. I want you to find
17:18 interesting times in the 20th century.
17:21 And I want you to channel 10 different
17:24 people, all from interesting times, all
17:26 from interesting places. Each of them is
17:29 a black sheep of their community.
17:32 has a fascinating nickname that implies
17:34 a deep and traumatic story.
17:37 And I want you to describe them at a
17:41 specific location that is as memorable
17:43 as they are.
17:45 And I want you to make 10 of them. And I
17:47 want you to make them now.
17:53 No,
17:56 it did. It Ite ate it again.
18:11 just type. You know what? Here's the
18:13 thing, producer Brandon. Every time I
18:15 type, someone's like, "Why don't you
18:16 just use the microphone, you big dumb
18:18 dumb?" So now I start out using the
18:20 microphone because I don't want to
18:21 torture the people, and now we're
18:23 torturing the people. Do you understand?
18:26 Do you understand? Let me try another
18:28 way.
18:31 [Music]
18:36 Oh, this is broken now.
18:41 Can you
18:44 Oh, that's not working. All right. So,
18:46 my speech.
18:50 All right. That's what's going on. All
18:51 right. So, we're going to type it. So,
18:54 one of the first lessons of AI is never
18:59 start a Tik Tok channel or a YouTube
19:02 live stream
19:04 demoing AI live. Never do that. That's
19:09 that's the first lesson in AI is don't
19:12 start a streaming service where you
19:14 position yourself as the expert and
19:16 can't even get letters into the chat
19:18 hole. Okay.
19:21 Can you fix your mic? What's wrong with
19:23 my mic?
19:25 My ears.
19:34 Is that better? Hello. Hello.
19:38 Microphone is way better. It should
19:40 work. Yes, it should work. But I'd have
19:42 to restart my machine because it's not
19:45 working.
19:47 But both ways of inputting uh things are
19:49 not working. Archetypal Architect. Okay.
19:52 I tried to use Sora today instead of V3.
19:54 Holy crap is it stupid. Sora is really
19:57 bad. Absolutely refused to come close to
20:00 following my instructions. ignored my
20:02 starting frame for the most part. Sora
20:05 is really bad. I Whatever. Whatever.
20:12 Open AI is a mess. Okay.
20:16 I can't believe I've got to type this.
20:18 Okay. I want you to act
20:23 as a channeler
20:27 of
20:30 memorable
20:33 fictional people from
20:38 the 20th century.
20:42 They should have
20:46 nicknames that imply
20:49 some traumatic past
20:53 or
20:55 comedic
20:57 event
20:59 that stuck.
21:02 They should live in
21:07 equally interesting
21:10 places.
21:12 and times.
21:16 I want you to
21:19 describe them in excruciating
21:24 detail.
21:25 Oh, you know what we're going to try
21:26 here also?
21:28 Now, Kyle, what
21:31 we're going to do? We're going to do the
21:32 same prompt with three different models.
21:36 Uh, I want you to describe them in
21:37 excruciating detail.
21:41 as well as an interesting
21:45 location they
21:48 are in. And give each
21:53 one a
21:56 surprising
22:01 uh
22:03 item
22:06 they possess.
22:10 All right.
22:12 So,
22:15 Knuckles McGary,
22:18 Chicago 1928 at the height of
22:20 Prohibition
22:38 Wait, did it only give me four? I asked
22:41 for 10.
22:44 Maybe I didn't. Fine. 10 it is. Oh, by
22:47 the way, I've got So, this is
22:49 fascinating. If you haven't done this
22:50 yet, um
22:53 I I changed my personality of my chat
22:56 GBT to a cynic
22:59 and
23:02 about 50% of the time
23:06 I'm just expecting chat GPT to be like
23:08 chat GPT. And it's like, oh, so you
23:11 really want to do that? Are you really
23:12 sure you want that? It's like it's like
23:15 a smartass.
23:19 It's as if chat GPT is me
23:23 and all I want is an answer and I get a
23:25 smartass answer and it's a it's it's a
23:27 pain in the ass. But because I have ADD,
23:30 I don't change it back to the default.
23:32 So,
23:34 okay. So, there's those. So, now I need
23:37 now I need a detailed image prompt
23:45 for each one.
23:48 with a uh
23:52 unique
23:58 unique
24:01 visual style
24:04 that matches
24:07 the character.
24:10 All right,
24:13 here's 10 walking calamities. A hulking
24:16 Irish American bootleger on a foggy
24:19 Chicago river docket dock at night. His
24:22 knuckles bandaged and bruised holding a
24:24 violin case like it's contraband. This
24:26 is great style black and white film
24:29 noir. All right, so here's what we're
24:31 going to do. We're just going to copy
24:32 these. We're going to go to uh
24:36 we're going to go to
24:39 that's producer. We'll come back to
24:40 that. Hang on. Just calm down people.
24:42 Calm down. Midjourney. I know I got to
24:44 switch my tabs, Brandon. I know. I know
24:47 I have to switch my tabs. I'm very well
24:49 aware of that. Okay, so let's get our
24:54 let's get our stylization at 200.
24:58 Let's turn weirdness up to,400 because
25:01 we want we want art.
25:04 We'll go 16 by9.
25:12 All right.
25:14 Boom. Okay. So, you're not going to see
25:17 me copy and paste, but you'll So,
25:20 spilled milk. Rosenblat, a young woman
25:22 in pastel 1950s kitchen. All right.
25:26 Beautiful.
25:29 Okay.
25:32 Next one is burnt toast duca.
25:42 So, you see what I'm doing here, people?
25:44 You may or may not see what I'm doing
25:46 here, but what I'm doing here
25:48 is
25:50 doing something creative without using
25:52 my brain,
25:54 which which is a kind of there's a kind
25:58 of intentionality to what I'm doing,
26:00 which is I want chat GPT to inspire me,
26:05 right? I don't want to have to be the
26:07 inspiration here.
26:09 So, I'm getting chat GPT
26:13 to give me crazy ideas. Now, I gave it
26:16 like the the prompt here was pretty
26:19 good, I thought.
26:24 So, we're going to go get all these
26:25 going. We're going to get 10 of these
26:26 going.
26:28 And then I'm going to take that same
26:29 prompt and I'm going to do it with a
26:31 different model, the the thinking mini
26:34 model, which is really good at writing,
26:35 and see if those are any better, any
26:38 more better.
26:40 Copy.
26:42 Paste.
26:44 Go.
26:48 Copy.
26:53 And you might be asking, "But Kyle, is
26:55 there a method to your madness? It just
26:57 seems like madness.
27:01 I don't know. If it comes out good, then
27:05 there was a method to it. If it comes
27:07 out bad, then there wasn't.
27:11 Okay. Going to take this prompt.
27:15 Oh, and then I had a followup about
27:17 making it into images, didn't I?
27:26 Yeah. Okay. So, we're going to go to
27:31 notes.
27:38 Come on.
27:42 No notes. There's notes. Notes.
27:47 Copy.
27:49 Paste. Okay. Copy. All right. Right. So,
27:52 we're going to go new chat.
27:54 Um,
27:57 we're going to change this to thinking
27:59 mini. I'm going to put in that same
28:01 prompt. Let's see if these are more
28:03 interesting or
28:06 thinking
28:12 formatting characters in towns. Fine.
28:15 You wanted memorable fictional 20th
28:17 century people. Oneeyed Monty.
28:21 Montigue Monty Hargreaves.
28:26 I gotta tell you, I just love the
28:28 writing
28:30 of thinking mini. Monty is the size of a
28:34 small island gale. Barrel chest, a patch
28:37 of white hair like a lighthouse on his
28:40 left temple.
28:42 That's gorgeous. All right.
28:46 Love these.
28:48 So, let's go get our image prompt
28:54 and
28:56 do that.
29:09 Okay.
29:11 Picture prompts. Prompt. Whimsical
29:14 nautical watercolor plus inkwash. This
29:16 is oneeyed Monty.
29:23 Look at these things. They're crazy.
29:34 Okay. Copy
29:36 black bar. I knew that. Shook.
29:44 Look how look at look how much bigger.
29:46 Oh, you don't you can't see that. Pin
29:49 pin pen. Just found you guys. I hope I
29:54 see this again because I'm just on my
29:57 way out for work stuff. So this thing,
30:01 so you can find this on YouTube. If you
30:05 go to YouTube, the account is learning
30:08 lab-ai.
30:10 On Tik Tok, it's AI learning lab. on
30:12 YouTube, it's learning lab-ai
30:15 and this live will be streamed there.
30:18 So, keep coming back. And we're live uh
30:21 five nights a week starting at 8:00 PM
30:23 Mountain time except tonight we were
30:25 late because I had an AI AI salon. Okay,
30:28 but thank you. Welcome.
30:31 We're going to do 10 more of these now.
30:33 [Music]
30:39 Shake it down.
31:00 [Music]
31:02 I'm sharing these, right? Yeah. Okay. Uh
31:05 oh, producer Brandon's about to write me
31:07 a nasty gram. I don't know what's
31:09 happening. I don't know what I did.
31:13 YouTube comment. Sup, Kyle? I finished
31:16 my first standalone
31:20 app with open. It worked great. There
31:22 you go. This is the thing, you know.
31:25 Wait, why is this writing these as
31:27 stories?
31:32 Is that what it prompted?
31:36 I guess I should read the prompts that
31:37 it wrote.
31:49 These are annoying. I don't like them at
31:51 all
31:55 on the table
31:57 style. Whimsical watercolor with bright
31:59 saturated tropical texture fabric weave
32:02 tablecloth camera.
32:09 I think these are overly complicated.
32:11 All right, so let's go. Um, these
32:14 prompts are overly
32:18 complicated.
32:20 Um, make them less structured
32:26 and more
32:29 interesting visually.
32:39 So Mary Mary on Tik Tok wanted to know
32:42 what we were doing and I'm failing to
32:45 figure out how to encapsulate what it
32:47 exactly is that we're doing in the
32:50 comments space allowed by Tik Tok.
32:52 >> Yes, that's a good that's a good
32:54 question. So Mary Mary, here's what
32:55 we're doing.
32:58 Back in the back in the olden timey
33:00 days, we did that there was this fun
33:02 parlor trick called chat GPT image
33:05 roundtpping where you would have chat
33:07 GPT write a prompt. You would then take
33:10 that prompt, put it in chat GPT's image
33:13 maker, Dolly Dolly 2.
33:16 It would generate the image. You would
33:18 then upload that image to ChatGpt, have
33:20 it describe it, and then take that
33:22 prompt, put it back in the image
33:24 generator, and so so you do this thing.
33:26 So, I thought, what if we did a a
33:30 more sophisticated version of that where
33:33 we're going to start in chat GPT, have
33:35 it write a bunch of ideas, go to
33:37 midjourney, generate a bunch of styles
33:40 until we find something that's really
33:42 cool that we really like, take the image
33:44 back to ChatGpt, have ChatGpt tell us
33:47 the story of the image,
33:50 then create a set of lyrics, then go to
33:53 producer AI, write a song about it, then
33:55 come back and based on the song, maybe
33:59 do a story board. I don't know. Maybe
34:02 like I don't know how far we're going to
34:03 get because already I'm taking too
34:06 [ __ ] long. Although these pictures
34:08 are really cool right here. So that's
34:10 that's the plan. That's the plan.
34:14 That's the plan.
34:16 You all right? You understand what I'm
34:18 saying? You understand what I'm saying
34:21 here? Huh? Yeah. It's fantastic. Yeah.
34:25 Mhm. Yeah. That's that's super cool.
34:29 Yeah. Yeah. You know, he was on an AI
34:31 learning lab and he was he was he uh he
34:36 he he told people that he knew what he
34:38 was doing and then he just kept pasting
34:40 things into in the midjourney and it it
34:44 didn't seem like anyone was learning
34:46 anything. But they were all still there.
34:48 They were watching him. I I don't know
34:51 why they were watching him. I don't know
34:52 what they were why they were
34:55 That channel's very confusing to me. He
34:59 He's kind of a pleasant fellow, but
35:02 doesn't doesn't seem super bright. He
35:05 doesn't seem super bright.
35:07 And
35:10 talented. I I wouldn't use the word
35:12 talented. Probably not the right word to
35:14 use.
35:16 Uh I I don't know if he's got any
35:18 qualifications whatsoever. Uh I need
35:23 eight
35:26 to 10. Come on.
35:32 Oh my god. 10 new characters. Stop.
35:36 Stop. Stop. All right. Let's go back to
35:39 Let's go back here now. Okay. So, now
35:42 we've got
35:44 Let's go see if we've got
35:47 a songw worthy image.
35:50 These black and white ones are pretty
35:52 cool, aren't they? Look at that one.
35:53 That's got some like an old photographic
35:57 watermark on it. That's kind of cool.
36:01 Okay, those are nos. No.
36:06 Interesting.
36:08 Oh, really interesting.
36:14 Is that blood on her dress?
36:24 What? What the hell? There's There's
36:27 pancake batter splattering all over the
36:29 phone.
36:35 Oh, that looks like Hemingway or is
36:38 Yeah, Hemingway.
36:42 Oh, these are fascinating. Oh, that
36:43 one's really cool.
36:53 All right. I like these styles.
36:59 All right. So, th this is one we're
37:02 going to come back to. A wiry man
37:05 hunched over a realtore tape.
37:12 Cute.
37:17 That's interesting. That's interesting.
37:34 80s. That one's kind of cool.
37:40 Here's
37:48 these weird ones.
37:51 Don't like any of those.
37:54 That's cool. That's really cool.
38:04 Let's turn this one into a
38:09 Let's turn this one into a low motion
38:11 animation.
38:19 Love her.
38:22 She lived a hard life.
38:32 Which by the way, if you're not taking
38:34 in
38:37 what I think is kind of a remarkable
38:39 thing about this approach is there are
38:43 images here that are absolutely
38:45 inspiring.
38:47 Like you you could take some of these
38:50 images and really run down some rabbit
38:52 holes.
38:58 Like I like that one. All right, so
39:00 here's what we're going to do.
39:04 Too many choices. This is one of the
39:06 problems with AI. Too many choices.
39:08 These are really cool. Like I love her.
39:15 All right, so here's what we're going to
39:16 do. We're going to just download the
39:18 ones that are interesting and then we're
39:20 gonna
39:23 That one's interesting.
39:30 That one's interesting.
39:38 That one's interesting.
39:44 She's got a story to tell.
39:48 So does he. We already made the video of
39:51 that one.
40:02 I think it's that that dude. Oops. What
40:04 did I do?
40:09 That dude.
40:22 That dude.
40:26 That dude.
40:33 That dude.
40:36 It's all dudes.
40:38 There's a There's a lady.
40:40 All right. These guys.
40:44 I think this one.
40:49 You're like, Kyle, what are you going to
40:51 do? You'll see.
40:55 All right. We didn't like those.
40:58 That one's fascinating. Oh, damn it. The
41:02 hell is happening?
41:09 And him. Okay. So now now we got all our
41:12 we got all our starter images.
41:15 So let's go look at Oh, the video is not
41:18 quite done yet. I want to see the video,
41:37 huh? Midjourney slow tonight. Slow,
41:40 slow, slow. All right, we're going to go
41:42 back to chat GBT here in a second.
41:45 I want to see this video. I want to see
41:47 if the videos are any good. Come on,
41:49 chat GBT or Mid Journey. Stop being so
41:51 slow.
41:53 This is making me whiny. Is anyone still
41:56 here?
41:58 A few people.
42:04 Some nights I actually explain what I'm
42:05 doing. This isn't one of those nights
42:07 apparently.
42:27 All right, whatever. Okay, back to chat
42:29 GBT.
42:32 Okay, now
42:38 I'm going to take I'm going to take one
42:40 image
42:44 and we're going to do the same simple
42:46 prompt with four different models
42:49 because part of part of what I'm
42:51 exploring right now is
42:58 I I guess just the nuances of writing.
43:00 Like I kind of knew what chat GBPT40
43:04 would do in in most of the cases that I
43:06 used. I don't have a clue about chat
43:09 GBT5 right now. But if you didn't know
43:12 this, one of the things that AI is
43:15 really good at is analyzing other [ __ ]
43:18 So rather than generating stuff from
43:20 scratch, analyzing other stuff. So
43:23 which one do we want to start with?
43:25 Let's start with
43:30 that one's kind of cool.
43:33 That one's kind of cool. I think that
43:35 one
43:37 or her, huh?
43:49 Oh, all right. That's there's some story
43:52 here. Okay. So, this is the one we're
43:54 gonna upload.
43:57 Which one is it?
44:00 Slouched.
44:15 Okay.
44:19 What's
44:22 the backstory here
44:30 if you've never seen chatbt do this?
44:33 It's remarkable.
44:35 The backseat of the apocalypse. In the
44:37 waning golden light of a dying Los
44:39 Angeles afternoon, Eddie Greasefire
44:42 Nolan slumps into the backseat of his n
44:44 his battered 1963 Lincoln Continental.
44:48 His office, his confession booth, his
44:50 cage. Once a celebrated stunt driver in
44:53 Bm movie circles, Eddie's name
44:57 used to flash in grindhouse credits
44:59 right after the words all driving
45:01 performed by. But this isn't about glory
45:04 days. Eddie's got blood on his shirt,
45:06 not his. From the guy who tried to
45:08 collect what Eddie owed to the wrong
45:10 people in his lap, a weathered leather
45:13 satchel. So, so just good good story
45:16 there, right?
45:18 Okay. So, now
45:22 I wonder how I do this without
45:29 it having memory. So, I think how I'll
45:31 do it is this. I'll do a temporary chat
45:35 where we'll upload the same image
45:42 and we're going to go to GPT5 fast.
45:47 What's
45:51 the backstory here?
45:59 This looks like a scene pulled straight
46:01 out of some sweaty neon tinged pulp
46:04 novel. Like notice the difference. The
46:06 the the
46:08 GPT4 one told us a story. This one it's
46:13 a little more literal. The backstory
46:14 probably this. He was once a hot shot
46:17 stunt driver. It got that out of the
46:19 file name by the way because stunt
46:21 driver is in the file name.
46:24 All right. That's crappy. writing. All
46:26 right. I don't like that. So, we like
46:28 GPT40 better than that. Now, let's do um
46:33 new chat. Temporary chat.
46:37 GPT5 thinking mini.
46:43 There he is. What's
46:45 the backstory here?
46:53 Thinking. Thanking.
46:58 Nice picture. Here are three tidy little
47:01 origin stories for this greasy-haired
47:03 man. The stunt man on layaway. He used
47:07 to eat screeching tires for breakfast,
47:09 movie sets, exploding cars, applause.
47:12 Now the calls stopped. The stunt
47:14 coordinators moved on to younger spines.
47:16 And he's been selling a few of his
47:18 keepsakes to pay the hospital bills. The
47:21 fixer who messed that's this is
47:23 interesting. It gave us three. Pick one
47:26 mentally and I'll expand it into a Titan
47:28 scene.
47:30 Huh. All right. Fascinating. And now
47:34 let's do GPT5 thinking.
48:00 All right. What's the backstory here?
48:06 [Music]
48:11 Yeah. By the way, you should all be
48:12 playing along. Just be just be playing.
48:15 Probably from that woman in the kitchen.
48:17 Yeah, exactly.
48:21 Oh, actually that's really cool.
48:24 That gives me a really good idea. Silver
48:27 Fox.
48:29 We're gonna figure out which of these we
48:30 like better. I I think I think right now
48:32 I'm liking 40 the best. The old model
48:36 response. He's a stunt driver. Not
48:39 glamorous. Not the glamorous kind with
48:41 jawline sponsorship. The other kind that
48:44 gets paid in cash. Arnica and don't ask.
48:47 What's arnica?
48:51 Name he gives is Colt Reyes because Los
48:54 Angeles rewards aliases more than
48:56 honesty.
48:57 The turquoise sofa on wheels is 63
49:00 Impala the studio keeps off books for
49:03 Bunit crashes.
49:07 A week ago he rigged a rig complication.
49:10 The patch on the pouch is a boy scout
49:13 emblem. This is pretty good.
49:17 So, it could be either one of these.
49:21 All right. So, what we're going to do is
49:22 we're going to do we're going to do two
49:24 of these. So, I'm going to do new chat.
49:27 I'm going to do one in thinking mini
49:30 and then we're going to upload two
49:32 different images. We're going to upload
49:34 stunt driver
49:36 and we're going to upload
49:42 kitchen lady.
49:46 that one.
49:55 Two locations,
50:05 two times.
50:11 Two people
50:16 How are they connected?
50:21 All right. So, that's our prompt. So,
50:22 we're going to copy this prompt.
50:25 Boom. We'll let thinking think on that
50:28 for a minute. And then we're going to go
50:31 to chat GPT again.
50:37 And I'm going to go to chat GPT40.
50:42 And we're going to upload those same two
50:43 images.
50:56 Same prompt.
51:20 Eh, didn't like that one.
51:23 Net network connection lost. Sweet.
51:27 All right, reload.
51:30 New chat thinking. Damn it.
51:34 I do not like technology. Technology is
51:37 not your friend.
51:40 class.
51:44 [Music]
51:54 Uh,
51:56 I think we're going to do a different
51:57 prompt even. Let me go back to
52:01 Oh, wait. You're not seeing what I'm
52:02 seeing. Let me go back to this one. Um,
52:08 new prompt.
52:12 These
52:15 images
52:18 were taken at the exact same moment. No,
52:24 let's see. Wait, new prompt. Um, let's
52:27 say, um,
52:30 tell me their story.
52:33 You know what? We're going to do a new
52:35 new chat
52:38 because it's it's it's not going to
52:40 forget the old story.
52:49 Tell me their story
52:54 and what's
52:56 happening now.
52:59 All right.
53:00 I kind of like that prompt.
53:40 H interesting
53:44 thought for 48 seconds. Oh, wait. Let me
53:47 share this one. Share this tab instead.
53:49 Okay.
53:52 Their family split by decades and coast.
53:55 Queens 1950s.
53:58 The woman's the kitchen switchboard.
54:00 Taking calls and skimming notes for a
54:02 small time racket. Stashing cash and
54:04 papers in the beatup canvas pouch. Los
54:07 Angeles 1970s. The guy's her son. A
54:10 stunt driver moonlighting as a bagman.
54:13 Clutching the very same pouch on a job.
54:17 Does she have a pouch there? No, she
54:20 doesn't. I just kind of made that up.
54:21 That's cool.
54:30 Right.
54:34 This is a great
54:36 American
54:40 story to be told. I want
54:46 I want
54:48 to tell it
54:50 in song.
54:54 Write
54:56 the style of the song in detail
55:01 and
55:03 write the lyrics.
55:08 That's kind of cool. I like this one.
55:11 Erica, what's happening? We're shaking.
55:14 We're shaking. Was shaking.
55:18 All right. Writing song lyrics there.
55:20 Let's go back to this one. Share this
55:23 tab instead.
55:24 Static on the line. Um,
55:31 what if she is his mother
55:36 and
55:38 these
55:40 images are when they were
55:45 the same age? What
55:50 is their story?
56:07 In the world where time bleeds, echoes
56:09 loop, and memories are magnetic, their
56:12 timelines have crossed in the frayed
56:14 wires of a broken switchboard.
56:19 She's a brilliant but emotionally
56:20 unstable telephone operator turned DIY
56:23 cryptographer. She believes she
56:25 discovered a pattern in the static coded
56:28 pulses buried in long-distance hum of
56:31 trans transcontinental calls. She became
56:33 obsessed. She becomes obsessed. Records
56:35 everything. This is good. She begins
56:39 deciphering strange coordinates names,
56:41 one of which is her own son's birthday
56:43 30 years before his birth.
56:47 She's laughed out of every institution.
56:50 Nick Von, a tormented stunt driver. What
56:52 he doesn't know is
56:55 the current moment. They're the same age
56:57 now visually and spiritually. Time is
56:59 folded.
57:01 He's sitting in a car that no longer
57:02 exists. She's leaning over a counter
57:04 that was condemned in 68.
57:07 But the signal is strong today.
57:12 Huh?
57:15 Can you turn that into a song
57:22 lyrics
57:25 that is haunting,
57:29 memorable,
57:32 and
57:35 easy to understand.
57:45 All right, let's go back to this one.
57:47 Share this instead. Song in detail.
57:49 Genre heart noir Americana. Think
57:52 Springsteen grit meets the Nighthawks
57:54 Diner at 2:00 a.m. with a touch of surf
57:57 tremolo.
58:02 Chord progressions.
58:05 Huh.
58:11 Instrumentation, structure, lyrics,
58:16 pink wall kitchen, sun on for micica,
58:18 rotary, rotary ringing like a church
58:21 bell lie.
58:24 Recipe cards turned ledgers and
58:26 nicknames. Tomato stains where the
58:29 numbers dry. She writes fast shoulder on
58:32 the handset. Voice like steam from a
58:35 midnight rag. This is actually good.
58:37 Baby hush. I'm only taking messages.
58:41 Tucks the world in a canvas bag. She
58:44 says, "Count your blessings. Never count
58:45 the cash. Keep your zipper facing
58:49 in when the sirens flash.
58:53 Two coast, two clocks, same stitches
58:57 in the same old bag from from the Line
59:01 rattle to Lerea drag.
59:05 If the past tried shotgun, let the
59:08 future.
59:09 Okay, this is this is bonkers. Let's
59:12 let's copy all of this
59:16 and we're going to go over to
59:21 producer.
59:28 All right, here we go. We're going to go
59:31 to producer now.
59:34 So, this is producer.ai.
59:37 >> Hey, Kyle. Um, speaking of audio, you've
59:40 got a error message on the Tik Tok
59:43 version of the browser view.
59:47 >> Wait, the browser
59:50 has lost connection to screen share
59:52 audio.
59:57 Oh.
1:00:07 All right, we should be good now. All
1:00:08 right.
1:00:13 All right. Here's a crazy
1:00:16 Do I have to log in? Wait.
1:00:22 Wait. Stop sharing. Stop sharing.
1:00:25 Hang on a sec. Something's Something is
1:00:27 definitely weird here.
1:00:32 All right.
1:00:36 Okay. I'm logged in.
1:00:43 All right. We've got all of our stuff.
1:00:46 We've got the lyrics.
1:00:48 We've got all the in detailed
1:00:50 instructions.
1:00:51 I have no idea if producer can handle
1:00:54 this.
1:00:58 This is a killer setup. Total late night
1:01:00 Americana ephemera mood. The kind of
1:01:03 track that lives in the cracks between
1:01:05 neon and memory.
1:01:07 Producer is really good.
1:01:11 Let me break down how I'd push this to
1:01:13 record ready and then we'll set up a
1:01:15 session for tracking
1:01:19 creative approach
1:01:21 guitar motifs.
1:01:32 um
1:01:34 mix of male and female.
1:01:38 This should be a killer duet.
1:01:51 I like lowfi. idea
1:01:56 should feel
1:02:00 more like
1:02:02 memory surfing
1:02:05 than time travel.
1:02:12 Perfect. Going with lowfi memory haunted
1:02:15 duet.
1:02:25 Use the lyrics
1:02:29 I provided
1:02:31 and
1:02:34 make the full
1:02:36 duet.
1:02:43 [Laughter]
1:03:17 [Music]
1:03:20 The low trim line
1:03:22 that feels like telephone wire as
1:03:26 [Music]
1:03:35 pink wall kitchen
1:03:39 like a church bell. Mississippi cars
1:03:41 turn ledges and nicknames tomato stains
1:03:44 where the numbers dry.
1:03:46 >> She rides fast shoulder to the handset.
1:03:48 Voice like steam from a midnight rag.
1:03:51 Baby hush. I'm only taking messages.
1:03:53 Tucks the world in a canvas bag. Says
1:03:57 count your blessing.
1:03:59 Never count the cash. Keep the zipper
1:04:02 facing in when sirens flash.
1:04:06 Two coats, two cuts, same stitches in
1:04:08 the same old man. From
1:04:12 the aine ratt
1:04:17 shotgun,
1:04:20 [Music]
1:04:22 two clock stitches in the same bag.
1:04:26 >> Huh? There's something here
1:04:29 that's [ __ ] remarkable, right? Like
1:04:33 you go you look at these two images.
1:04:37 Oops, that's broken.
1:04:42 Um,
1:04:50 take that image.
1:04:56 Which one is it?
1:05:04 Oh, am I Oh, I'm not sure. Oh, yeah. I'm
1:05:07 not sharing the same thing. Well, those
1:05:09 two images, I mean, they they sound like
1:05:10 that song. Oh, wait. Show this tab
1:05:12 instead. These these two images sound
1:05:15 like that song.
1:05:17 Like, it's not great. It's it's it's
1:05:19 messing up the uh pronunciation on a
1:05:21 bunch of words.
1:05:25 >> Backseat like palm tree shadows on a
1:05:28 busted dash. Driving knuckles tapping
1:05:31 movie time. Waiting for the handoff.
1:05:33 Take me cash ring box like thumbs a
1:05:36 zipper smells like clothes in a
1:05:38 laundromat flat. He hears a hum in the
1:05:41 radiator.
1:05:43 Every mile is mother's dresses
1:05:46 hands are too.
1:05:48 Don't look.
1:05:51 Keep your name off paper and your heart
1:05:53 off track.
1:05:55 Two cos
1:06:00 >> that line. Two coast, two clocks, same
1:06:02 stitches in the same old bag. That's a
1:06:04 good line.
1:06:06 Two coast, two clocks, same stitches in
1:06:08 the same old bag. So good. From queens
1:06:13 confessions to a sunset shame
1:06:16 [Music]
1:06:24 stitches in the same old
1:06:29 deal crooked by the tower records
1:06:32 laughing bills like birds take flights
1:06:35 that Chevy through a citrus seat choose
1:06:37 a break instead of buys a mail near A
1:06:41 donut counter seals a letter with a
1:06:43 ready tag. I'm done being someone's
1:06:48 sending home.
1:06:50 I sold those scenes from your father's
1:06:53 jacket. Said a prayer in every
1:06:57 way it keeps back. Put down the weight
1:07:02 that never
1:07:04 running fing.
1:07:10 Let the rest our own free.
1:07:14 Two cos, same stitches in the same old
1:07:17 bag
1:07:19 from
1:07:21 >> huh. It's kind of a mess, but it's kind
1:07:23 of there's something sweet about it. Um,
1:07:28 let's see.
1:07:32 I'm gonna say it's kind of
1:07:36 a mess.
1:07:38 There are a lot of lines in the lyrics
1:07:44 that don't belong there.
1:07:47 I love the chorus
1:07:54 lyrics
1:07:57 uh and the vibe
1:08:00 of the song.
1:08:03 Clean up the lyrics.
1:08:09 for me.
1:08:11 [Music]
1:08:18 I like the bright tonal quality
1:08:21 they gave her voice. Kind of Allison
1:08:23 Krauss. Yeah. Very Allison Krauss. Like
1:08:25 this is this is very much in the in the
1:08:30 in the neighborhood of the images. It's
1:08:34 it's really good.
1:08:42 I gotta I gotta tell you like there
1:08:43 there's something
1:08:51 there's something really fulfilling
1:08:53 about
1:09:02 it's a couple of things. There's
1:09:04 something fulfilling about following and
1:09:07 leading,
1:09:09 right? So like I started out, I gave it
1:09:11 sort of an idea, then it came up with 10
1:09:14 ideas, then I picked one, right? Like
1:09:17 like I'm kind of letting it come up with
1:09:20 ideas, then I'm curating those ideas,
1:09:22 then I'm giving it more direction, then
1:09:24 and then I'm switching tools. Then I'm
1:09:27 coming back and let the images I made
1:09:30 over there inform the words over here.
1:09:32 Then we're going to the song.
1:09:34 There's something about the creative
1:09:43 um improvisation.
1:09:45 That's what it is. This is That's what
1:09:47 this is. This is creative improv.
1:09:50 This is cool.
1:09:55 Okay.
1:09:56 Create cleared clean lyric demo.
1:10:01 All right. So, so they cleaned up the
1:10:03 lyrics.
1:10:05 They kept our chorus as is. We still
1:10:07 have our two two cars, two clocks, same
1:10:11 stitches in the same old bag or whatever
1:10:13 that is.
1:10:16 It's a total discourse. It is creative
1:10:19 flow. It's It's creative improv. It It
1:10:22 really is creative improv. This is like
1:10:24 This is like Yes. Anding
1:10:28 like I'm like here's an idea. chat. GBT
1:10:30 is like, "Here's 10." I'm like, "I like
1:10:31 this one." Right.
1:10:34 [Music]
1:10:43 Pink wall kitchen,
1:10:46 sun on Farmica,
1:10:49 rotary ringing with a promise in a side.
1:10:55 Recipe cards turn ledgers. tomato stains
1:11:00 dry. She tucks a world in a canvas bag
1:11:04 and tries. She says, "Count your
1:11:08 blessings,
1:11:10 not the cash.
1:11:11 [Music]
1:11:13 Keep the zipper in when the sirens
1:11:17 flash.
1:11:21 Two cos, two clocks, same stitches in
1:11:23 the same old bag.
1:11:26 From the airline rattle
1:11:29 to the labyr.
1:11:37 [Music]
1:11:45 >> Um,
1:11:46 okay. So,
1:11:50 let's see. Go back here.
1:11:52 We lost the duet
1:11:55 and
1:11:59 and the haunting
1:12:03 quality
1:12:05 of
1:12:08 the two of them
1:12:15 at the same stage in their life.
1:12:20 decades
1:12:22 apart.
1:12:24 I don't know how much further I'm going
1:12:25 to go in this,
1:12:30 but like I could imagine doing this for
1:12:32 hours. Like there's something about this
1:12:34 that is
1:12:43 you know it's funny the
1:12:49 what generative AI has been trained on
1:12:52 is the output of like all the people
1:12:56 that have come before us. you know, like
1:12:58 not all of them, but like all of them
1:13:00 that got their crap on the internet
1:13:03 basically, right?
1:13:06 And so in a very real sense, what I'm
1:13:08 doing right here
1:13:11 is I'm collaborating with like ghosts of
1:13:19 people and creatives and
1:13:26 but they're but they're alive again in
1:13:28 this weird kind of way. It's just
1:13:30 bizarre. Just bizarre.
1:13:35 Um,
1:13:38 give me the full production.
1:13:43 I want to win a Grammy
1:13:47 with this one.
1:13:54 Love that energy. Let's build this for
1:13:55 Grammy level impact. Focusing on a true
1:13:58 duet, emotional resonance, and cinematic
1:14:01 pallet. Here's the full production.
1:14:03 production vision blah blah blah blah
1:14:04 blah. Now it's gonna ask me if I really
1:14:06 want to do it.
1:14:11 Generate
1:14:15 make the song.
1:14:19 All right.
1:14:27 They changed the melody. It's more
1:14:29 twangy now.
1:14:31 Yeah.
1:14:33 This is a good lesson video. Yeah. I
1:14:36 don't I mean I I hope what what you all
1:14:40 understand is I have no idea what I'm
1:14:43 doing here, but that that
1:14:46 I kind of I kind of had an idea that it
1:14:50 might be fun to navigate like this.
1:14:54 That's it.
1:14:55 [Applause]
1:15:01 Pink wall kitchen sun on form of corro
1:15:05 ring with promise and sigh.
1:15:10 Recipe cards are ledges worn edges
1:15:13 tomato stains with a number dry
1:15:18 the world in a canvas bag.
1:15:26 >> All right, you [ __ ] God damn it.
1:15:29 Okay. Um,
1:15:31 your dumb song is
1:15:36 singing all the stage directions.
1:15:42 Remove the stage
1:15:45 directions
1:15:47 from the lyrics.
1:15:54 Um,
1:15:57 also
1:16:02 spell
1:16:04 for Micah.
1:16:07 Um,
1:16:09 what's it called when you spell
1:16:10 something phonetically?
1:16:13 Phonetically,
1:16:16 since you can't pronounce it.
1:16:20 Okay.
1:16:26 Good catch. Stage directions shouldn't
1:16:28 be in the song lyrics.
1:16:33 Here's your cleaned lyrics. For Micah.
1:16:36 Okay. For Micah is now spelled as it
1:16:40 should be. Okay. Now,
1:16:45 yes. Final song
1:16:49 with new lyrics.
1:16:55 haunting
1:16:57 duet.
1:17:02 Make it sing
1:17:05 like the past,
1:17:09 present, and future
1:17:12 all at the same time. Let's see what
1:17:14 that does. Maybe we'll get in some weird
1:17:17 Cynthy kind of things.
1:17:29 This is fascinating. I've got a lot more
1:17:31 people on YouTube and and X or whatever
1:17:34 and almost no one like Tik Tok are
1:17:36 dropping those flies which it doesn't
1:17:38 surprise me because I'm just I'm not
1:17:40 really talking that much.
1:17:47 Pink wall kitchen sun on from my rotary
1:17:51 ringing with a promise in a sigh recipe
1:17:54 cards for ledges worn edges tomato
1:17:57 stains where the numbers dry tucks the
1:18:00 world in a canvas bag. She whispers
1:18:05 count your blessings not your cash
1:18:10 zipper facing in one siren flesh.
1:18:16 Two coast two clock same stitches in the
1:18:19 same old bag
1:18:22 from the line rattle to the bread drag.
1:18:29 If the past right shot gone, let the
1:18:31 future take the wheel.
1:18:35 We had
1:18:38 two coast, two clock, same stitches and
1:18:41 same old
1:18:47 >> teal vinyl backseat. Heat like lemons.
1:18:50 Palm tree shadows on a crack dash ring
1:18:54 by slide thumb on the zipper. her song
1:18:57 in the steam and radiators crash. Every
1:19:00 mile is a mother's crash.
1:19:03 >> He mutters hands at 10 and two. Don't
1:19:06 look in the sad.
1:19:10 Name off paper, heart off track.
1:19:16 Two coast, two clock, same stitches in
1:19:19 the same old bed.
1:19:22 From queens confessions to a sunset shed
1:19:29 flux of pay phone drop a quarter for the
1:19:32 life
1:19:35 you
1:19:38 two coach two clock same stitches in the
1:19:41 same old bag.
1:19:44 Sold those seams from your father's
1:19:46 jack. said a prayer and in every attack
1:19:51 from how you packed it.
1:19:53 >> Yeah.
1:19:54 >> But the road keeps winding back.
1:19:57 >> Yeah. I mean, yeah. Producer Brandon was
1:20:00 saying it's like like the the the
1:20:02 difference between good and bad with
1:20:05 this AI stuff is crazy.
1:20:09 Um, let's listen to the very first
1:20:11 version that we had because that was
1:20:12 pretty good.
1:20:19 trim line. It feels like telephone
1:20:23 wires. I'm over asphalt.
1:20:25 [Music]
1:20:32 [Music]
1:20:35 Pink wall kitchen
1:20:38 like a church bell. Recipe cards turn
1:20:41 ledges and nicknames. Tomato stains
1:20:43 where the numbers dry.
1:20:45 >> She rides fast. Show it to the handset.
1:20:48 Voice like steam from a midnight rag.
1:20:50 Baby hush. I'm only taking messages.
1:20:53 Tucks the world in the canvas bag. Says
1:20:56 count your blessing.
1:20:58 Never count the cash. Keep the zipper
1:21:01 facing in. When the sirens flash.
1:21:06 Two co. Same stitches in the same old
1:21:09 man
1:21:11 from the airline rattled to my bra drag.
1:21:15 If the past right shot let the future
1:21:18 take the wheel we had
1:21:21 two co same like birds take flights that
1:21:25 Chevy through a citrus seat
1:21:28 two co same stitches in the same old
1:21:33 queen confessions to a sunset ship
1:21:37 [Music]
1:21:39 phone drop a quarter for the life you
1:21:43 two co same stitches in the same old.
1:21:47 >> All right, I got an idea. We're going to
1:21:48 try something here. Okay, so let's
1:21:51 download this puppy.
1:21:53 And I know it's it's time is getting of
1:21:56 the essence. We're going to be quick.
1:22:00 How do I download this? Is it upload?
1:22:03 Copy to clipboard. Use vibe remix.
1:22:06 Here we go. Download.
1:22:09 Famous last words.
1:22:11 MP3. Okay. So, here's what we're going
1:22:14 to do.
1:22:16 Let me share different.
1:22:35 So, we're going to open this in
1:22:37 QuickTime Player.
1:22:48 [Music]
1:22:52 Keep your name off paper and your heart
1:22:54 off
1:22:55 [Music]
1:23:05 Too close to clock. Same stitches.
1:23:08 [Music]
1:23:13 Teal vinyl backseat. Heat like lemons.
1:23:16 Palm tree shadows on a busted dash.
1:23:19 Don't drive knuckles tapping movie time.
1:23:21 Waiting for the handoff. Make it cash
1:23:24 ring but slipper
1:23:26 smells like clothes.
1:23:28 [Music]
1:23:32 Every mile is mother's dresses.
1:23:37 >> Okay.
1:23:40 thumbs
1:23:43 in a laundry flag
1:23:45 in the rad.
1:23:54 [Music]
1:24:00 >> Okay. So, now I'm going to split the
1:24:01 clip
1:24:03 there.
1:24:05 We're going to get rid of the beginning
1:24:06 of that.
1:24:10 Hands are too.
1:24:12 Don't look in the sand.
1:24:14 Keep your name off paper and your heart
1:24:16 off track.
1:24:19 Two cos stitches in the same old bed.
1:24:24 From queens confessions to a sunset
1:24:27 ship.
1:24:30 Drop a quarter for the
1:24:34 two.
1:24:39 >> Okay, I'm going split it there.
1:24:43 Then I'm going to get rid of end. So now
1:24:46 we just have the c the pre chorus and
1:24:48 the chorus. So now we're going to save
1:24:51 that
1:24:53 as two coasts
1:24:58 chorus.
1:25:04 All right, save it to the desktop. Now,
1:25:10 let's go let's let's leave producer
1:25:14 and let's go to Sunno.
1:25:20 We're going to go create
1:25:29 inspo. Select a playlist. No.
1:25:34 How do I
1:25:36 Anybody know how to upload stuff here?
1:25:41 Oh, plus audio. Describe your song.
1:25:43 Haunting.
1:25:48 Haunting duet
1:25:51 about a mother and a son
1:25:56 grifting
1:25:59 decades apart
1:26:01 at the same age.
1:26:04 And then we're going to go plus audio
1:26:07 upload.
1:26:11 [Music]
1:26:15 That's the full version. And we want the
1:26:17 little snippet we made.
1:26:19 Oh, and it saved it as a movie. So now
1:26:21 we got to go back over here. And we got
1:26:24 to export audio only
1:26:28 because file formats apparently [ __ ]
1:26:30 matter. We have AI now. We shouldn't
1:26:32 have to worry about file format, should
1:26:34 we? Shouldn't it just figure this [ __ ]
1:26:36 out? The answer is yes, by the way. The
1:26:40 answer is yes. It should figure this
1:26:42 [ __ ] out. Okay.
1:26:51 Okay.
1:26:54 So, we're going to upload that. Can't
1:26:56 fetch the uploaded audio. Please upload
1:26:58 a different audio file. Oh my god. Black
1:27:01 bar. Okay, fine. Um, upload audio. We'll
1:27:04 try it one more time. And then we're
1:27:06 gonna have to go to the internet to
1:27:09 change it to MP3 because M4A isn't
1:27:13 supported [ __ ] anywhere.
1:27:16 Yeah. Okay. So now watch this.
1:27:21 Unbelievable.
1:27:23 M4
1:27:25 A to MP3 web free
1:27:30 and then Oh, am I not sharing?
1:27:33 Oh, I am. Yeah. Yeah. Okay.
1:27:36 Um. Oh, not descript. No, no, no. God
1:27:39 damn it.
1:27:42 Free convert. I think this one works.
1:27:46 Choose files. M4A.
1:27:50 Convert to MP3. Convert.
1:27:54 Okay.
1:27:58 [Music]
1:28:00 Converting.
1:28:02 Download.
1:28:05 Save to device.
1:28:11 Did it save
1:28:28 and it crashed my machine?
1:28:32 Really?
1:28:52 We're having trouble streaming on
1:28:54 LinkedIn.
1:29:06 This might be a sign that it's time to
1:29:08 reboot your computer.
1:29:11 >> Yeah, this is a reboot the computer
1:29:12 thing.
1:29:16 Did that download anything?
1:29:23 Oh, it did. Okay. All right. So, let me
1:29:27 close that.
1:29:29 We go back to Sunno audio.
1:29:33 You can still see stuff, right? I'm
1:29:34 still streaming sort of.
1:29:39 Okay. All right. Upload audio.
1:29:43 Upload audio.
1:29:59 All right, and we're done for the night.
1:30:01 Fantastic. Fantastic. I hope you enjoyed
1:30:04 that.
1:30:12 Well, anyway, what I was going to do was
1:30:14 take that little snippet, use that as
1:30:17 the source to create a completely
1:30:19 different song in Suno,
1:30:22 but we're not going to do that now
1:30:23 because apparently I have to restart my
1:30:26 machine and my hair is
1:30:31 special.
1:30:33 [Laughter]
1:30:38 Unbelievable. Um, okay. So, here's the
1:30:41 lesson, important lesson. Um,
1:30:45 use all the AI you want, so long as you
1:30:48 never use a computer. If you use AI with
1:30:52 a pen and a pencil or like a Sharpie,
1:30:54 fully endorse that. Anything where a
1:30:57 computer's involved, I would avoid it. I
1:30:59 just wouldn't do it. All right. Hope
1:31:02 that helps.
1:31:04 Hasn't this been fantastic tonight? Huh?
1:31:08 Huh?
1:31:09 You're welcome. What are your
1:31:11 qualifications? Just watch this video.
1:31:14 You'll see my qualifications. They come
1:31:16 out hard. Huh?
1:31:24 My apologies for lack of a
1:31:28 coherent sentence tonight. Uh, hope you
1:31:32 had fun. Anyway, okay. Tomorrow,
1:31:36 uh, Ann Murphy and I, the AI Readiness
1:31:39 Project podcast,
1:31:42 400 PM Mountain time, 3 PM Pacific,
1:31:46 6 PM Eastern, Chicago, you're on your
1:31:49 own.
1:31:51 All right.
1:31:53 If you go to uh aire readiness
1:31:56 project.com,
1:31:58 boom.
1:32:00 Tomorrow at 10:00 am Pacific time, 11:00
1:32:02 a.m. Mountain, Google is doing some
1:32:06 event. They've got Who's Who's hosting
1:32:09 it again? It's someone big, right?
1:32:15 Jimmy Fallon.
1:32:17 So, Google Google coughed up what are we
1:32:20 guessing? 50 grand, 75, 100 grand.
1:32:24 Google coughed up a hundred grand to get
1:32:26 Jimmy Fallon to go talk about their cool
1:32:28 new phone.
1:32:30 Uh producer Brandon thinks it's going to
1:32:33 be an ondevice AI
1:32:38 uh like local AI. I'm not confident, but
1:32:41 there could be cool things announced.
1:32:45 Life hacks is also tomorrow. the life
1:32:47 hacks um
1:32:51 club in the uh AI salon mastermind.
1:32:56 What time is that?
1:32:58 5:30
1:33:00 Mountain time. So 5:30 Mountain time
1:33:03 tomorrow. You you you pick that up at
1:33:06 the uh AI salon, the information about
1:33:08 it. And then finally, the the big launch
1:33:12 tonight at the AI salon was the AI
1:33:14 readiness training program. So, that is
1:33:16 now live at are readyforai.com.
1:33:21 Here, let me show you the URL because
1:33:23 it's not a
1:33:25 it's not an easy one.
1:33:29 I recommended that one.
1:33:34 All right. Um, I hope you had fun
1:33:35 tonight, even though there were tech
1:33:37 snafoos at the end there. I promise I'll
1:33:39 restart my machine tomorrow. I I only
1:33:41 restart my machine about once every
1:33:43 three weeks just to piss paid off.
1:33:48 You know, it's not logical. You You
1:33:50 should really be clearing your memory
1:33:51 caches on a regular basis. Uh yeah,
1:33:54 that's that's my problem. That's it's
1:33:56 definitely a memory cache issue that I
1:33:59 don't clear it on a regular basis. I
1:34:00 know that. I know that's one of my
1:34:02 shortcomings as a human.
1:34:07 But anyway, all right. Hope you had fun
1:34:08 tonight. I'll see you tomorrow. No love
1:34:11 for central time. We love you. Chicago
1:34:14 Ill. You Illinoisers.
1:34:16 Illinois,
1:34:18 huh?
1:34:20 Vicki, you're Illinois.
1:34:31 All right. Um, I hope you have fun
1:34:34 tonight. Bye, everybody. I'll see you
1:34:36 tomorrow.
1:34:37 [Music]