7/8/2025 - Journey From LinkedIn Backlash to AI Filmmaking With Midjourney and VO3 Tools

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Transcript

0:00 [Music]
0:07 Load the car and write the note.
0:14 [Music]
0:16 Grab your bags and grab your coat.
0:22 Tell the ones that need to know.
0:26 [Music]
0:27 We are headed north.
0:30 [Music]
0:35 One foot in and one foot back.
0:41 Well, it don't care like that.
0:46 So, I cut the ties and jump the tracks
0:52 for never to return.
0:54 [Music]
1:01 take me in.
1:05 Are you where the shape I'm in?
1:10 My hands they shake my head.
1:14 [Music]
1:15 Oh, Brooklyn, Brooklyn, take me.
1:21 When at first I learned to speak,
1:26 I used all my words to fight
1:31 with him and her and you and me.
1:36 Yeah, it was just a waste of time.
1:41 It was such a waste of time.
1:45 [Music]
1:50 That woman, she's got eyes that shine
1:55 like a pair of stolen polish dimes.
2:00 She has to dance. I said it's fine.
2:06 I'll meet you in the morning.
2:10 [Music]
2:15 Brooklyn, take me in.
2:19 Are you where the shape I'm in?
2:23 [Music]
2:24 My hands they shake. My head is spin.
2:30 Oh, Brooklyn, Brooklyn, take me in.
2:33 [Music]
2:35 Three words that became hard to say.
2:42 I am love and you.
2:48 What you were then I am today.
2:53 Look at the things I do.
2:58 Yeah.
3:00 [Music]
3:03 Take me in.
3:05 [Music]
3:07 Are you where the shape I'm in?
3:10 [Music]
3:12 My hands they shake my head in space.
3:15 [Music]
3:17 Oh, Brooklyn, Brooklyn, take me in.
3:22 Dumb down and numb by time and age.
3:26 [Music]
3:28 Your dreams they catch the world cage.
3:33 The highway sets the traveler the stage.
3:38 All exits look the same.
3:45 Three words that became hard to say.
3:49 [Music]
3:52 I had love and you
3:58 I had love at you.
4:03 [Music]
4:05 I had love at you.
4:11 [Music]
4:14 [Applause]
4:15 [Music]
4:19 Very nice. Champs Shannon on lead vocals
4:21 there. Got some AIT brothers doing some
4:24 fantastic AIT brothers tonight. Well, I
4:26 don't know if it's fantastic. It's me
4:28 doing it. So, you know, it's there
4:31 there's there's words. There's words and
4:34 guitar vibrations.
4:37 Um, how is everybody Tuesday night?
4:39 Yikes.
4:41 yesterday
4:43 also phone
4:44 [Music]
4:51 side hustle Mimi on time tonight. Very
4:54 nice. I think we're going to be doing
4:56 some movie making tonight. Um,
5:01 we've played with VO before.
5:05 VO3. Hang on a second. Just calm calm.
5:08 Everybody calm down. I've got cable
5:10 management I'm dealing with over here.
5:12 You think it's easy? Do you know where
5:14 producer Brandon is?
5:17 He's in [ __ ] Ohio.
5:20 If I've got cable management issues
5:22 here, he's not in the studio.
5:25 He's one of those remote employees, you
5:27 know. Well, not an employee. There's no
5:29 pay, but that's not the point.
5:36 Um, I gotta do this. I gotta if if I got
5:39 to plug something in, I'm plugging it
5:41 in.
5:43 You know,
5:45 I know everybody thinks this is all
5:46 glamorous
5:48 and like just people ask me for
5:49 autographs all day, which is true. I get
5:52 get a lot of that. A lot of that. I'm
5:54 very popular on LinkedIn. I don't know
5:56 if you knew this. Um got a big following
5:58 on LinkedIn. Um they all hate me.
6:07 Boy, do they hate me. You ever been
6:09 hated by I I have never had a LinkedIn
6:12 post go semiviral
6:14 until until I wrote, "You can take pride
6:18 in your work if you if you uh if you use
6:22 chain of craft,
6:25 some lame ass concept I came up with.
6:28 Boy, did that stir up the hornets nest."
6:31 If you're on LinkedIn and you hate me,
6:32 hello. Hope you're well.
6:36 I actually do um wish everyone there
6:39 well and uh there's a lot of vitriol.
6:44 [Music]
6:48 Yeah, exactly. Yeah. Wait till they hear
6:50 about my new book, Feed the Prompt.
6:54 I think I'm going to have a chain of
6:55 craft section in the book.
6:58 [Music]
7:07 Oh, by checking the signal every
7:11 few seconds, of course, if nobody hates
7:13 you, you're probably not standing for
7:15 anything. Yeah. No, it was really
7:18 amazing. Um, yeah. What was all that
7:20 about on LinkedIn? I missed the whole
7:23 situation. Oh, hey, Kelly Cam. What's
7:24 up? Were you late last night? Did you
7:26 miss something? You missed you missed an
7:29 AI learning lab.
7:32 Please please don't tell me you're
7:33 getting a like a a whole thing you do
7:36 other than this.
7:38 Please.
7:40 That that can Oh, she wasn't here. Wow.
7:44 All right. She was here yesterday. Oh,
7:47 producer Brandon said you were here
7:49 yesterday. Um, rut row
7:54 source camp's in trouble.
7:57 Source Camp played hookie. She's got
7:59 She's got a Demerit. We haven't given
8:00 Demerits out since Alio's wife was here.
8:03 All right, Source Camp, I guess you're
8:04 taking up the mantle on Demerits. Um,
8:07 okay. So, here's what happened.
8:10 So, last Thursday or so on right here on
8:15 on this here live,
8:17 um, I kind of had this epiphany. I kind
8:19 of had a breakthrough and and I said, I
8:22 want to talk about chains. And people
8:24 were like, chains? What are you talking
8:25 about? Um, and I came up with this this
8:29 idea called chains of craft. Not chains
8:33 of crap, which some of the irregulars
8:36 thought I was saying chains of crap. No,
8:39 chains of craft.
8:43 And what chains of craft are are,
8:47 okay, when somebody asks you like like
8:49 like Kelly, you're a good example. Like
8:52 you show them something. you show them
8:54 something you did and like the question
8:56 is what tool did you use
8:59 and what I realized I've been doing for
9:02 like two and a half years is I answer
9:05 the question oh I used this tool
9:09 and then it that's kind of it the
9:10 conversation's kind of dead and what hit
9:13 me was it's it's not always intended to
9:16 diminish your contribution
9:20 but it's a very reductionist kind of
9:22 question what tool did you use is like
9:26 oh it's just this one thing that you did
9:28 and what I realized is almost every
9:30 output that I do is some long chain of
9:35 activity and some of it involves um
9:40 you know working with AI tools and some
9:42 of it's just like me sitting thinking
9:45 some of it's like me getting on a
9:46 whiteboard maybe I put something into
9:48 chat GPT it gives me an idea then I go
9:50 over to this tool and try it doesn't
9:52 quite work then I come back trying to
9:53 refine the prompt and I there. So the
9:55 chain of craft is like knowing which
9:58 tools to use, knowing when they might
10:00 work and how they might work, testing if
10:02 they do work, right? The the chain of
10:04 craft is like just like when you make a
10:06 film, there's all of these things that
10:08 you need to understand
10:11 and and you know, every day is a series
10:14 of problem-solving steps.
10:17 That was a thing. And so the idea for
10:19 this was if someone asks you, hey, what
10:21 tool did you use that you could actually
10:23 respond with your chain of craft, you
10:25 could say, well, I mean, I used probably
10:27 a dozen tools in making this. And what I
10:30 started with was the the oldest tool,
10:33 you know, known to me, which is the
10:35 whiteboard. I went to the whiteboard and
10:36 I just sketched out some ideas. And then
10:38 I went to chat GPT and I fleshed them
10:40 out. Or I went to chat GPT and I
10:42 generated 20 ideas because I had this
10:44 this problem I had to solve. And then it
10:46 came up with a bunch of ideas and then I
10:48 did this and then I did that
10:50 and then what that does is it it says,
10:52 you know, here's all the human
10:54 contribution that was a part of this. So
10:57 not that big an idea, right? It's just
10:59 like instead of just kind of
11:02 acknowledging that, oh, I just push a
11:03 button and out comes crap. You just talk
11:05 about the process, right? So I went on
11:07 LinkedIn on Saturday, Saturday or Sunday
11:10 and I wrote an article and it's called
11:13 introducing a new concept chain of craft
11:15 or something or it's like never answer
11:16 this question again and the questions
11:18 were you know what tool did you use and
11:21 some other some other reductionist kind
11:23 of question and so I just did this thing
11:25 that the difference between AI slop and
11:29 really interesting work is very often
11:32 the interesting work has some chain of
11:34 craft behind it and if you have that
11:36 chain of craft. You should talk about
11:37 it. Well, holy [ __ ] [ __ ]
11:43 People came out of the woodwork to just
11:47 [ __ ] blast me a new one for How dare
11:51 I
11:53 How dare I declare that someone could do
11:57 something with AI that was that that
12:01 they claimed they could own because it's
12:03 only theft, right? AI is only theft, so
12:06 you can't actually own it. And and by
12:08 saying there was I there was a whole
12:11 thread about I was promoting AI
12:14 ownership, which I've reread the piece
12:18 three times now. I don't think it's in
12:19 there, but that that became one of the
12:20 tropes. And then the other thing is just
12:23 I I am out there
12:26 um promoting theft and destruction of
12:30 artists and and I was yelled at many
12:32 many times for not being a a creative
12:35 that I don't really understand the
12:36 creative world even though I've been a
12:39 creative professional for 40 [ __ ]
12:40 years. So, but it was just like it kind
12:44 of went viral and it just, you know, I
12:46 engaged with a bunch of them and I tried
12:48 to have conversations with them, but
12:50 they just wouldn't have conversations.
12:52 And then and and Brandon had a good
12:53 idea. He said, "What if you go on video
12:55 with a couple of them?" So, I reached
12:57 out to one dude that was just really
12:59 vitriolic. I'm like, "Why don't we get
13:00 on video and just talk about this?" "No
13:02 thanks. I'm not interested in that." And
13:04 then just kept, you know, spamming me
13:06 and trolling me. And then and then this
13:09 other dude today I said I said listen
13:13 here here's all the points you made
13:14 about copyright. I don't disagree with
13:16 you. There's a bunch of [ __ ] up stuff
13:18 about how these models were produced.
13:20 It's just you and I have two different
13:23 ways of approaching it. Right? I want to
13:26 learn everything I can about this
13:27 because this is going to change
13:29 everything and you know you're not using
13:31 the tools because you're taking a stand.
13:36 We both agree on all the core points.
13:38 Just where we disagree is on the thing.
13:39 So I said, "Why don't we get on video
13:41 and talk about it?" And he was like,
13:42 "Oh, I'll do that. I'll take you up on
13:44 that." And then after like yelling at me
13:46 for [ __ ] two days, he's like, "Oh, by
13:49 the way, thought I should let you know I
13:51 use AI all the time. I use MidJourney
13:53 and I use this and I use that." And and
13:56 he said, "But here's where I draw the
13:58 line with the copyright stuff." I'm
13:59 like, "Okay, so then you're fine." Like
14:03 my whole point here is
14:06 use the tools, get curious about them.
14:08 They're not going away. That was another
14:10 thing. If I when I said they're not AI
14:12 is not going away, they're like that's a
14:14 that's a [ __ ] argument because, you
14:17 know, just because it's bad, you know,
14:18 and it's not going away, you're going to
14:20 that means you're going to use it. I'm
14:22 like, yeah.
14:26 Yeah, because it's not going away and it
14:31 changes everything.
14:33 Um, so anyway,
14:40 oh my god, I love it because craft is my
14:42 third C. Context, curation, craft.
14:44 Great. Love it.
14:46 But man, nobody listened.
14:49 Went crazy.
14:51 Yeah, I know. It was crazy.
14:59 [Music]
15:03 Silent noise, your post is great. Oh,
15:05 thank you, Rick. Silent noise. Techno
15:09 Enor and Oh, Enor, an open- source AI
15:12 companion concept with long-term memory
15:16 and archetypes. That sounds interesting.
15:18 Enor O
15:26 E N O R A I
15:30 [Music]
15:32 not.
15:36 Do you have a URL?
15:38 I'll go take a look at it.
15:41 If it's if it's open source, it's
15:43 probably on Hugging Face. If it's
15:45 anything where I have to install it
15:47 here, I can't really do it. I can't
15:48 really do it here.
15:51 Oh, GitHub. GitHub. Yeah, it's it's on
15:53 GitHub. I'm gonna I Here's here's my
15:57 here's my
15:59 Here's my deal with open source. Um,
16:05 I'm not
16:10 technical enough to figure it out, but
16:13 I'm add enough
16:15 that I can't I can't keep track of what
16:18 I installed and what I didn't. And a lot
16:20 of the open source stuff, you're
16:21 installing stuff or you have to spin up
16:23 virtual machines and it's just there's a
16:25 there's a there's a layer of
16:27 complication with open source and it's
16:29 also open source is changing so fast. So
16:32 if there's a thing I can just click on
16:34 and go play with it, I'll go play with
16:35 it. But for the most part, I don't muck
16:38 with open source just because it's too
16:40 hard to manage. Um it's just not good
16:42 for the way my brain works. Um, and I
16:44 figure any of the stuff that survives
16:47 the the open- source gauntlet that gets
16:50 incorporated into some commercial tools,
16:52 I'll end up getting to use anyway,
16:54 right? So, that that's sort of where I
16:56 am with that stuff. Um, opinion is like
16:59 [ __ ] Every everyone's got one,
17:00 right? Yeah.
17:04 Every [ __ ] comes to the circus to
17:06 expose themselves publicly. Well, you
17:08 know what's funny, Rick McCaulay, is I
17:10 thought that the and and listen, I was
17:13 not 100% professional in a lot of my
17:15 responses, but people were just being
17:17 dicks. Um
17:20 there like LinkedIn is a professional
17:23 network. My article was not incendiary,
17:26 right? I didn't say that all artists,
17:29 you know, should should never work again
17:31 and we should only use AI. I didn't do
17:33 one of those kind of posts. It was like
17:37 if you think about,
17:39 you know, all of the steps that you do
17:41 to get a good result, you should talk
17:43 about that. That was what the article
17:44 was.
17:46 And man, these people just came in there
17:47 and these are people that some of them
17:49 had like jobs at big companies with, you
17:53 know, really interesting um roles and
17:57 they're just in there acting like idiots
17:59 and and it's like, you know, if if I'm
18:02 working in a place and
18:05 and I know that
18:09 people are getting laid off because
18:11 they're AI illiterate.
18:14 Um, at a minimum I I I would think I
18:17 would be curious about it. And man,
18:18 they're just out there publicly going,
18:20 "I will never use AI. AI theft. You're a
18:24 [ __ ] loser." It was crazy. They
18:26 didn't say [ __ ] loser. That was my
18:28 interpretation of it. Um, yeah. No one
18:31 ever thinks their stinks. Yeah, exactly.
18:34 This is just a chat. What's just a chat?
18:37 The uh the uh the ano ano thing. Hey,
18:41 you know,
18:45 uh uh uh well, I can go to GitHub and
18:47 see it. Hang on.
18:49 Um GitHub
18:55 search
18:57 a
18:59 what was it? AE n o
19:05 AI is like fire in some people's minds.
19:08 it. Yeah, it you know what it is, Rick?
19:10 That's a really that's a really good
19:12 metaphor that that these these people on
19:15 LinkedIn are responding to me as if I've
19:19 I've I've tamed fire. I've got like fire
19:21 on a stick and they're like, "Oh my god,
19:23 it's going to kill me." Right? Like the
19:25 the response is totally amydala
19:28 overload, right? That that they are in
19:31 fight or flight. Absolutely. It's fear.
19:33 It's anger. Um, and it's it's
19:36 existential. And it's like I have deep
19:37 empathy for it, but it's like I'm trying
19:40 to have a dialogue with the people and
19:41 they just come keep coming back and
19:43 telling me what a piece of [ __ ] I am.
19:44 Um,
19:47 a E N O R. Okay. A E N O R.
19:57 Ano launcher? That's a Russian site.
19:59 Ain't no client.
20:04 Try that one.
20:09 [Music]
20:13 Where? I I I ain't see it, Buck.
20:22 Yeah, I I can't I can't I'm not good
20:25 enough. I'm not good enough at GitHub to
20:30 I just
20:32 listen I was gonna I was when I started
20:34 this channel I was going to start going
20:36 down that rabbit hole and I just decided
20:38 not to and so there you go. All right.
20:42 Um
20:44 they want AI shut down essentially.
20:46 Yeah, that's that's it. Ashu that that
20:49 their contention is um
20:53 AI is theft. AI has stolen from them
20:55 personally, right? like they're they I
20:58 don't they seem to have this this
21:03 perception that if I generate an image
21:06 it has taken money out of their pocket.
21:10 Well, like I don't know how many
21:12 millions of images or probably millions
21:15 of artists this [ __ ] was trained on, but
21:18 like it's so for any image that I do it
21:22 like how many
21:24 how many sampled images are are part
21:29 part of that? Is it 10,000? Is it a
21:31 100,000? And like was one image of
21:34 theirs in that training set? I don't
21:36 know. Like there's no attribution system
21:38 that tracks all that [ __ ] Now, could
21:41 OpenAI have built that? Could Midjourney
21:44 have built that? Probably. Could they
21:47 retroactively go build an attribution
21:49 system? Probably. Are they doing it? No.
21:53 Right. They're like, we'll see you in
21:55 court. Like, you can, you know, we think
21:57 that this is transformative and we think
21:59 it's fair use. and and the the judgment
22:02 that just came down from one of the
22:03 courts basically says it's fair use so
22:06 long as you paid for the content that
22:07 was for books.
22:10 So So that's going to establish some
22:12 sort of precedent there. But they also
22:14 said you can't steal the work. So,
22:17 how I think this goes is at some point
22:21 some big copyright holder like Disney or
22:23 Sony or [ __ ] Pixar or whoever
22:27 says, "Hey, Open AI, pay us $1.3 billion
22:31 and we'll call it a wash." And those
22:34 guys are going to get paid off and then
22:36 all the little guys are not. And like,
22:39 is that shitty? Yes.
22:42 Is that problematic? Yes.
22:46 Do we have the most profoundly powerful
22:48 tools in the history of humanity because
22:51 of that? Yes.
22:55 And they're not going away. So like my
22:58 point is you can be pissed off
23:02 but like learn the [ __ ] tools,
23:05 right? Like it's they're just they're
23:07 they're shooting themselves in the foot.
23:10 I think I figured it out. This is the
23:12 second week we wave of AI disbelief.
23:14 That feels right to me, Gareth. They are
23:17 saying things we heard two years ago. I
23:19 really think there are more of these
23:20 people saying the exact same things. I I
23:23 don't disagree. And I I think what it is
23:25 is
23:27 a lot of the comments that I saw when
23:30 when I said, "Well, have you actually
23:31 [ __ ] tried it?" I didn't say [ __ ]
23:34 That's what I when I typed the word,
23:36 "Have you tried it?" or "Have you
23:37 actually tried it?" There was an implied
23:39 [ __ ] in it.
23:41 but I'm a professional.
23:45 And and a lot of the responses to have
23:48 you tried it was, "Oh yeah, I tried it
23:50 once. It wasn't very good. It's not up
23:52 to commercial standards."
23:54 And I'm like, "Have you used any of
23:57 these things lately?"
23:59 Because that sounds an awful lot like
24:00 the [ __ ] we heard two years ago. So I I
24:03 agree. So I think there's there's
24:04 probably a wave of people coming. What's
24:08 I I think what might be precipitating
24:11 the rage is that
24:14 um
24:16 if I were an illustrator, if I were an
24:18 animator, if I were
24:21 um someone in special effects in motion
24:24 graphics,
24:26 um
24:29 I can I can only imagine
24:32 that the
24:35 the freelance pipeline is it has fallen
24:39 off a cliff. I know there's a guy here
24:41 in Denver named Steve Pocross and he had
24:44 he had a huge like a I don't know I
24:48 think he had like 150 250 employee
24:51 content creation company um really
24:55 successful company really amazing and
24:58 then AI came along and he said it was
25:01 just like demand like fell off a cliff
25:06 and so I have a feeling that so it hit
25:09 like like his was a copywriting company,
25:12 right? So, so Chad GPT hit copywriting
25:15 companies within six months, maybe a
25:17 year of coming out. Like he said, he
25:19 said he lost a couple of big contracts
25:21 and then there was a kind of a slow
25:25 descent and then it just fell off a
25:27 cliff, right? And he ended up selling
25:29 the company. Um, YouTube, Jeff and
25:32 Gareth. Jeff, there seems to be a
25:34 marketing method that begins with AI is
25:37 something ne negative is clickbait. I
25:40 don't know that that's just marketing. I
25:42 think that's um
25:46 I think that's the news.
25:49 like
25:51 why don't we see stories about AI, you
25:54 know, um cur, you know, getting
25:56 someone's diagnosis, right? That they
25:59 haven't been diagnosed in 10 years and
26:00 AI helped them get it diagnosed. We
26:02 don't see those stories because they're
26:04 not people won't watch them. They only
26:06 want to watch the negative stuff. So, I
26:07 think part of it's just media [ __ ]
26:10 It's very much bowling for Coline uh
26:12 kind of stuff with this stuff right now.
26:14 Um, there isn't a single person
26:17 There isn't a single person that isn't
26:19 using AI every day.
26:23 No, I disagree with that. I think
26:25 there's a lot of people not using AI.
26:27 15,000 people at layoff. 30% of code's
26:30 written by AI. Yeah, there you go.
26:34 Read the comment above. Oh, what's funny
26:36 is that all these people are using AI
26:38 every day and don't even realize it. Oh,
26:40 well, yeah, there's that. There's that.
26:43 Well, that that's one of my other
26:44 arguments is like
26:48 when I when I've talked to a lot of
26:49 these
26:51 AI haters in person, particularly the
26:53 the creative ones,
26:56 I'm like, "So,
26:58 but you're good with like the medical
27:00 stuff, right? Like curing diseases." Oh,
27:02 yeah. That's that's that's Yeah. I mean,
27:04 that's that's different,
27:06 is it?
27:09 Because in order to do that those
27:11 medical breakthroughs,
27:13 they had to train those models on
27:16 research that PhD students did.
27:21 So they stole a bunch of research,
27:25 right? According to to their logic,
27:28 they're like, "Yeah, but that's
27:29 different." Well, Deep Mind for material
27:32 science, they had they went out and they
27:34 stole all of the known work that was
27:36 done on material science. They stole it
27:38 and put it in this model and that's how
27:40 we got the 40,000 new
27:43 unique models. Oh no, it was more than
27:45 it was 240,000 or something like that
27:48 new materials. That's okay. Oh, okay.
27:52 So, it's only if it's stolen from your
27:55 particular niche. Now,
27:58 I have I I am not an illustrator. I am a
28:02 writer,
28:04 but I'm not an illustrator. I cannot
28:06 imagine how terrifying it must be
28:11 to have spent 20 years
28:14 building a business around selling your
28:16 illustration services that you do a
28:19 particular kind of illustration really
28:20 [ __ ] well and then you see something
28:23 like MidJourney or or now chat GPT. You
28:26 can literally upload any image in the
28:28 chat GPT right now and say make me a
28:31 different you know image than this in
28:33 this style.
28:35 So, um, Source Camp neighbor told me she
28:38 met an awesome customer service rep
28:41 today and wanted to be her friend. Oh,
28:44 no. And it was an AI.
28:47 My neighbor was really disappointed. Oh,
28:50 no.
28:56 H CEO should pay alimony with each AI
29:01 related firing worker alimony. Yeah,
29:04 that's that. I mean, we're gonna have to
29:06 figure out some economic model.
29:09 Tik Tok pin Pate trolling. It's hard to
29:12 steal publicly available research, but
29:14 okay. Not all that research is publicly
29:16 available though, Pate.
29:23 A lot of that stuff's behind payw walls.
29:25 Um,
29:28 I'm a practical VFX artist. VXF VXF took
29:32 over with AI. I'm making my practical
29:35 sing.
29:38 Sorry, not sorry. VX VFX. I'm making my
29:41 practicals sing. I think I understand
29:43 what you're saying there. Yeah. Listen,
29:45 I any I I mean the creative arts
29:50 are the most visible because we can see
29:53 the work, right? writers. It's it's
29:56 harder to know the profound impact on
29:59 writers because not everyone reads.
30:01 We're not a super literate, you know,
30:03 society here in America. Um, so not
30:06 everyone reads and and not in order to
30:09 understand, you know, the impact on
30:11 writing, you actually have to know
30:13 writing and read and understand that.
30:16 Um, so that industry has been relatively
30:20 massively disrupted and it's going to
30:22 keep getting worse or better depending
30:24 on which side of the money equation
30:27 you're on. Um, but because the AI tools
30:31 are not perfect right now, writers that
30:33 are AI literate are in high demand
30:37 because they've taken their writing
30:38 skills and shifted them into prompting
30:40 skills and they still need editors,
30:42 right? It still needs editorial.
30:45 when you start doing things like motion
30:47 graphics and VX VFX and illustrations
30:50 and animations and things like that, um
30:54 the tools have gotten so good. I mean,
30:56 honest to [ __ ] god, the midjourney
30:58 animation and the V3 that we're going to
31:00 play with tonight is
31:05 Okay, let me be careful how I say this.
31:08 If you're a film professional, if you're
31:09 a VXF professional, you're going to look
31:12 at every one of the V VFX vomit that's
31:15 coming out of these AI tools and you're
31:18 going to go, "Okay, the physics are all
31:20 wrong. Explosions don't look like that.
31:22 This thing's in slow motion. That's not
31:24 in slow motion. It's an absolute
31:25 travesty."
31:27 90
31:29 no 85% of the people won't notice it at
31:33 all.
31:35 you know, 90% of the people might notice
31:39 that's a little off, but it's fine,
31:41 right? And then, you know, and then, you
31:43 know, the last 5% are like, "This is a
31:44 travesty." That number is going to keep
31:46 getting, you know, smaller and smaller
31:48 or bigger and bigger and bigger. The
31:49 people that just don't notice that the
31:51 tools are so good that that you can just
31:53 do stuff. Now,
31:55 in order to do a film right now, if you
31:58 want to do something well-crafted, you
32:00 need a long chain of craft. You need you
32:03 need lots of knowledge. You probably
32:04 need a nonlinear editor. You probably
32:06 need, you know, sound effects, VFX
32:09 effects, things like that to cover up
32:10 the warts of AI generation. But you
32:13 could do it. You could absolutely do a
32:15 film today with the tools that are out.
32:17 Two years from now, we're going to be
32:20 speaking feature films into existence,
32:22 right?
32:24 And it's going to be the kind of thing
32:26 where like one of the things that that
32:29 happened on this channel fairly early on
32:31 is when we started playing around with
32:33 chat GPT, people were like, "Oh, I could
32:35 make a story book for my kids, right?"
32:37 And so they would go and they would make
32:39 some illustrations and you couldn't keep
32:41 the characters consistent. It was really
32:43 maddening. But a bunch of people made a
32:45 bunch of children's books. And now like
32:47 making a children's book is trivial. You
32:49 can just do it. It's just like bang, you
32:51 knock it out. Um, you know, Brandon,
32:54 producer Brandon here over the weekend,
32:57 his kids invented a game in the sand
32:59 where they were throwing sand at zombies
33:01 or something like that and he thought,
33:03 "Huh, that would be a good video game."
33:05 And he got home and in lovable with a
33:08 single prompt, he vibecoded a throw sand
33:12 at the Oh, on your phone on your phone
33:15 from the hotel lobby. He just said
33:18 on his phone from the hotel lobby went
33:20 to lovable.dev dev and said, "I want a
33:22 video game where you throw sand at
33:24 zombies."
33:26 And it made it. And now his kids play
33:28 the game that they invented.
33:33 So, so and and you know, a game
33:36 developer will look at that game and be
33:37 like, "Well, it's not a real game. It's
33:41 right." Coders will look at vibe coders
33:43 say, "Well, it's not really vibe coding.
33:44 Vibe coding is not really coding. I do
33:47 real coding."
33:50 Um,
33:54 so it is an existential threat. And
33:58 if you've got those skills, whoever said
34:00 that they're a a a VFX person, if you've
34:04 got those skills, you're going to be
34:06 able to work with these AI tools. If you
34:08 take if if you're willing to take the
34:10 risk to learn them, and it sounds like
34:12 you have, you're going to be able to
34:14 look at the output of that stuff and go,
34:16 "Oh, I know what's wrong with this." and
34:18 you're going to be able to figure out
34:19 how to start prompting these things to
34:21 get better results than some clueless
34:23 newbie.
34:25 But the VFX people that are are like
34:27 snobby and like, "Well, that's not real
34:29 VFX, so I would never do that." And
34:31 they're stealing from us anyway. They're
34:33 just going to be sitting on the side.
34:35 And what's going to happen is that
34:36 clueless newbie, as the tools get
34:38 better, their skills are going to get
34:39 better. Not their VFX skills, but their
34:42 prompting skills, their ability to get
34:44 these tools to give them something
34:46 interesting.
34:48 And all of a sudden, the old school VFX
34:50 people are going to be [ __ ] There's a
34:51 there's a great um I don't know if the
34:53 if the VXSX person is still in here, but
34:56 uh there's a great uh company out of
34:58 Boulder called $11 bill run by a guy
35:01 named Christian Robbins. Um really good
35:04 guy. He's spoken at the AI salon a
35:06 couple of times and um
35:09 he's it's it's like a 20 year old 15 20
35:13 year old VFX house and he can do full-on
35:17 AI VXS VFX. He can do full-on standard
35:22 procedure. Some of his clients want it
35:24 the oldfashioned way. Some of them want
35:26 it full AI. Some of them want some
35:28 hybrid thing and he can kind of dial it
35:30 up and down from full AI to no AI.
35:34 That's genius. That's genius. Like
35:38 that's a differentiator in the market
35:39 right now. And so those AI literate
35:43 people that have deep skills are just
35:45 going to be better than other people at
35:46 it. Side hustle Mimi. It's all fun and
35:49 trolls up until someone vibe codes a
35:51 multi-million dollar app. Yeah, exactly.
35:54 That's This is the thing. I mean, we're
35:57 gonna go play with Look at this [ __ ]
35:59 Hang on. Let me let me
36:02 go here. Let me go here. I gotta change
36:05 my
36:07 Oh, great. We've got influencers on the
36:10 beach. She's hot. Oh, yeah.
36:14 Spin me spin me up an influencer AI.
36:21 Okay, let me let me just show you
36:24 something.
36:26 Not her. Good lord.
36:30 Um
36:31 [Music]
36:38 That's a cool Kelly Bosch quote.
36:42 Um
36:47 reckoning is nigh.
36:51 Repent sinners. The garbage reckoning is
36:55 nigh.
36:59 Repent.
36:59 Wait. Hi. I agree with what you're
37:01 saying on VFX. I'm a practical makeup
37:03 creature FX guy. Oh, yeah. Wow. Um, I'm
37:08 making real stuff. Yeah. So, so listen.
37:11 So, listen. I I I think that I think
37:14 that demand for that kind of work in
37:17 general is going to go down because
37:19 someone can just spin up like what I
37:21 have on screen right now. Someone can
37:23 just spin up, you know, oh, you want to
37:25 you want a talking raccoon, you know, in
37:28 a in a garbage alley? Um, if you were
37:30 doing that practically, you know, that
37:32 would take you some time. But here's
37:33 what I do believe. I believe that
37:36 handcrafted stuff, the value of it is
37:39 going to go up dramatically. I think
37:41 there's going to be a weird transition
37:43 period where everybody gets enamored.
37:46 The tools are going to get good enough
37:47 that we can just knock some
37:49 highquality stuff out. And then I think
37:51 we move into a place where films go from
37:54 one to many to like hyperpersonalized
37:57 where we'll all just be generating films
38:00 that we watch for ourselves
38:03 and then I think it will eb and flow.
38:05 Then I think we'll go back to some sort
38:07 of one to many kind of thing where films
38:10 films of a different nature are created.
38:12 And I think one of the categories of
38:14 film that's going to be um that's gonna
38:17 that's going to be really popular is
38:20 like films that feel and are
38:23 handcrafted. So I think it's actually
38:25 smart what you're doing that that that
38:27 feels very smart to me to be um to to
38:30 lean into the lean into lean into your
38:32 practical skills. One of my one of my
38:35 favorite classes in uh I went to school
38:37 for for acting and the uh the uh we we
38:41 had um what's his name? Oh, [ __ ]
38:45 He was a head makeup guy. He worked for
38:47 Roger Corman.
38:49 Um
38:52 Tom Tom Cevini. Ceini I think was his
38:55 name. U and he did a a a special effects
38:59 makeup course. That that was a [ __ ]
39:01 cool course. Um, just amazing stuff. Um,
39:04 but anyway, all right. Um, I can see
39:06 custom films where you provide the
39:08 script, story, or plot and someone does
39:09 it for you. Absolutely. Roger Corman,
39:12 there's a throwback. Yeah, I know,
39:13 right?
39:15 Kyle, did you see how Grock went off the
39:17 rails today? Yeah, they they uh they
39:19 they turned off some of the political
39:22 correctness because I guess Elon wants
39:24 it to be able to be nastier.
39:28 And then tomorrow we're supposed to get
39:30 Grock 4. So apparently it's going to be
39:32 smart and nasty. Um, we had to convince
39:35 somebody to dress up as zombies to do
39:37 that stuff. Yeah, exactly. Oh, so let me
39:40 show you some of these some of these
39:41 videos. I mean, we're at a place now.
39:43 Let me show you her first. Well, I'll
39:45 show you this old dude. I I I really
39:48 like
39:50 um,
39:53 so that was an image from Mid Journey. I
39:56 was just I was mucking around. I was
39:58 working with my writing partner on the
39:59 musical I'm working on and I was just
40:03 showing him how you could use a single
40:06 word prompt and midjourney and just
40:07 change, you know, style settings and
40:10 suffs and mood boards and things like
40:12 that. Um, and so this was just an image
40:14 that it made and then I took this image
40:16 and so V3 now you can use a start frame
40:22 and have it talk which you couldn't do
40:23 until yesterday. Um, so, so this was a
40:27 single word prompt in midjourney with
40:29 [ __ ] around with style settings. And
40:31 then this this image came out. Then I
40:33 pasted this into VO3 and I said, "Have
40:35 it have this guy in a grally old voice
40:38 say these words." And I wrote the words.
40:40 Generosity isn't about you. It never has
40:44 been.
40:45 Now give me a dollar.
40:48 Generosity isn't about you.
40:50 I mean, holy [ __ ] Like that's that
40:52 could be a scene in a film. Now, is
40:54 there jankiness to it? Is there
40:56 weirdness to it? Yeah. But like, are we
40:58 close? We're pretty [ __ ] close. Um,
41:01 here's uh here's neon.
41:04 You don't need to know
41:05 neon dust. This is my new favorite
41:08 carney carney chick that I'm that I
41:11 invented in mid Journey.
41:14 You don't need to know my name to
41:16 understand how bad I will break you.
41:21 Right. She's just a little mink. She's
41:23 going to break your heart. And then
41:26 here's her here here's her uh her buddy
41:30 from the carnival.
41:31 Do you know Neon Dust? Have you seen
41:34 her? She has something of mine. She has
41:37 my heart. Find her now.
41:40 Do you know Neon Dust?
41:41 I mean that was These were just like
41:44 just [ __ ] around little experiments.
41:48 Just [ __ ] around little experiments.
41:50 get an interesting image in midjourney,
41:52 take it to VO3, have it say some [ __ ]
41:56 So, you cut two or three of the three of
41:58 these back and forth together, you'd
42:01 have a five minute scene in no time.
42:02 Well, not a five-minute scene, a
42:04 two-minute scene in no time,
42:07 right? So, so we're at a place if you've
42:10 got storytelling ability, and if you
42:12 don't have storytelling ability, by the
42:14 way, go to chat GPT.
42:17 Here's the thing.
42:19 Everyone talks about storytell. Oh, you
42:21 should be good at storytelling. That's
42:23 that's great if you're a liberal arts
42:24 major and you know about storytelling.
42:26 But what if you don't? Well, you go to
42:27 chat GPT and you're like, hey,
42:29 everyone's talking about storytelling.
42:31 How how do I tell stories? Like, what
42:34 are story? I don't Someone told me about
42:35 a storytelling framework. What's a
42:37 storytelling framework? Chat GPT will
42:39 vomit out what a storytelling framework
42:41 is. Then you can go uh give what are the
42:43 top five storytelling frameworks? Well,
42:45 here's hero's journey. Here's Save the
42:47 Cat. Here's, you know, uh, what's his
42:50 name? Sidfield, right?
42:53 And then you go, "Oh, I like those. I
42:55 have this idea for a movie. Here's the
42:57 thing. Could you put it in one of those
42:59 storytelling frameworks?" Out it comes.
43:03 So, even if you're not good at
43:04 storytelling, if you don't innately have
43:06 it, you at least have the resources. If
43:09 you're good at being nimble with these
43:12 tools and understanding that they might
43:15 be good at something that you're not.
43:20 Then you take that outline of a story
43:22 and you say, "Hey, I want to take I want
43:24 to take that first scene. I want to
43:25 bring it to life. So, design the
43:27 characters for me. Let's come up with a
43:29 visual style. Let me go over to
43:30 MidJourney and try to make all those
43:32 characters."
43:34 And before you know it, you know, before
43:36 the weekend's out, you've got a trailer
43:38 or or the first scene of a film
43:43 that was a whisper of an idea on Friday
43:45 afternoon.
43:48 [Music]
44:32 freedom came our way that night.
44:38 Just like a jet plane in and out of
44:42 sight.
44:43 I was hauling ass at a million miles an
44:46 hour. Wonder
44:53 when they came into the station.
44:57 [Music]
44:59 Okay. Um, analog singing is going to go
45:03 up in value even if you're shitty at it.
45:10 So, oh, you want to know you want to see
45:12 another cool thing I did here? So, I
45:15 made this picture, right? And we turned
45:16 it into this cool video.
45:18 Have you seen her? She has something of
45:20 mine. She has my heart. Find her now.
45:23 Find her now.
45:25 Um,
45:28 see this story?
45:31 I took this picture
45:36 into chat GPT
45:39 and my super sophisticated I'm a prompt
45:42 engineering master. I don't know if you
45:44 knew that you can't have a channel
45:46 called AI learning lab unless you're a
45:47 prompt engineering master.
45:51 So I went to chat GPT and my masterful
45:54 prompt was tell me the backstory.
45:59 Tell me the backstory. That was it.
46:02 Look what it wrote.
46:06 They call him Varnish, a once glorious
46:08 ring master of a traveling underground
46:10 circus that spun through the ashes of
46:12 the post zones. Ruins of cities turned
46:15 into lawless playgrounds for the lost
46:16 and defiant. Varnish wasn't always a
46:19 clown. He was once a visual poet, an
46:21 architect of color and chaos. Known for
46:24 painting the skies of the wastelands
46:25 with neon smoke and radioactive glitter
46:28 bombs. He built entire hallucinations
46:30 out of light, motion, and junk tech. His
46:33 masterpiece, a love letter, and
46:35 ultraviolet. The Neon Dust Show, Neon
46:38 Dust, right? We we met her earlier. A
46:42 kinetic light opera with one central
46:44 muse, a rebel named Neon Dust.
46:48 Beyond Dust was a dancer, an icon, a
46:50 flame that couldn't be held. She entered
46:53 his circus like a meteor through glass,
46:55 performed like she had a vendetta
46:57 against gravity, and left varnish
46:59 spellbound. But the love wasn't mutual.
47:02 She devoured adoration like candy, fed
47:05 on obsession, then vanished, leaving
47:08 behind only scorched sequins and a
47:10 voicemail that said, "You paint the
47:12 world pretty, but I need someone who can
47:14 burn it down." I mean, [ __ ] Really?
47:21 This is good writing.
47:28 It's good writing.
47:32 Vanish, broke, cracked like a warped
47:34 mirror. Is it perfect? No.
47:38 But is it does it tell
47:42 his story? Yeah.
47:45 Do you know Neon Dust? Right.
47:47 Have you seen her?
47:48 It captures it captures the dystopian
47:52 thing.
47:54 It even talks about the twins. What's it
47:56 say about the twins? Um,
48:01 let's see. Behind him stand the echoes.
48:05 His twin hype men ruck and spill. No one
48:08 knows their real names. They speak in
48:10 rhyme and riddles, move like
48:11 animatronics, and wear war paint that
48:14 looks like joy that looks like joy
48:17 chewed up and spit. Wait, looks like
48:20 Wait, war paint that looks like joy
48:23 chewed up and spit out. Their job
48:25 amplify Varnish's myth, blur the tragedy
48:28 behind him, and keep keep the show
48:31 pulsing with dread and euphoria. Ruck
48:33 was once a sound sculptor. He rewired
48:36 carnival organs to play ancient hip hop
48:38 in poly rhythms that that mess with your
48:41 heartbeat.
48:42 Spill used to be a a combat medic. Now
48:45 he's a stage illusion illusionist whose
48:47 tricks always end with something
48:49 catching on fire. They follow Varnish,
48:52 not out of loyalty, but because they've
48:54 seen what he becomes when he's left
48:56 alone with his grief. And what of neon
48:59 dust? I mean, come on.
49:03 Now we know who they are.
49:06 Do you know Neon Dust? Have you seen
49:08 her? She has something of mine. She has
49:11 my heart. Find her now.
49:14 All right. Um, maybe we go play. You
49:17 want to go play? Anybody have any
49:19 questions, thoughts?
49:28 narrow.
49:35 Um, where are we going to start? Oh, I
49:38 have an idea.
49:47 We're going to try some We're going to
49:48 try some hybrid film making here.
49:52 Um,
49:58 VO V3 is okay, but the thing that I'm
50:01 really impressed with is its ability to
50:04 make things make people talk or or
50:06 characters talk, but you can only do
50:08 eight seconds and you can't extend them
50:10 and things like that. Tabby McTab face.
50:13 Oh, yeah. Good idea. Thank you.
50:17 [Music]
50:24 Oh my god, am I tired? What is this
50:27 yawning thing? There's no sleeping in
50:29 AI.
50:40 Okay. So, if you don't know,
50:44 well, couple of things. Um, if anyone's
50:48 here from my from my hater fan club, my
50:50 AI AI hate fan club, welcome. Um,
50:55 one of the absolute worst tools in terms
50:59 of copyright I don't give a fuckness is
51:02 Midjourney,
51:03 which is also probably why it's so good.
51:07 But Mid Midjourney is really, really
51:09 good. Um, and their video model is
51:13 there's just something special about it.
51:15 So, the idea that I had was
51:18 we'll go into midjourney, we'll generate
51:20 some images. That'll be fun.
51:23 Then we'll animate some of those images.
51:26 And one of the things you can do here,
51:29 I'll show you actually if the VX VFX guy
51:31 is still in here or woman. I don't know
51:33 if you're a man or a woman. It just you
51:35 just say user. You're a user, an abuser,
51:39 sir. Madam, they
51:42 um
51:44 I did a video in here last week using
51:47 Midjourney.
51:52 Oh, wait. I got to I got to change my
51:53 tabs again. Hang on a sec so you can
51:55 hear it. Let me
51:57 let me let me let me show you let me
51:59 show you what we did.
52:02 Um I'll play the video for you first.
52:06 Um and then we'll talk about it.
52:16 Okay.
52:22 [Music]
52:46 It still cracks me up. That's good
52:48 storytelling. I'm sorry.
52:50 He's just having fun doing his little
52:52 thing. And oh no, Mr. Bill.
52:57 But um
53:00 this video, so the music was done in
53:02 Sunno. Um the the the video was done
53:06 100% in midjourney.
53:10 And the way midjourney works is it'll
53:12 generate a 5-second video and then you
53:14 can extend it four times of 4 seconds
53:16 each. And so what I did in this case is
53:20 for each of those extensions, I gave it
53:22 a different prompt. So we did some
53:24 storytelling, right? So the the first
53:26 prompt was whatever he runs across the
53:28 clouds and there's fish in the sky,
53:30 whatever it was, and he jumps over the
53:31 fire.
53:33 And then he ended up like right here.
53:36 And then I said he should juggle those,
53:38 you know, wool balls. And so I did a
53:40 prompt about him juggling. And then
53:42 there's that. So that's extension number
53:44 one. And then I said, "Oh, let's have
53:46 him have a circus hat."
53:49 That's extension number two.
53:51 Then I said a prompt about let's turn
53:53 and see the audience, which we don't see
53:55 the audience, but we see that really
53:57 creepy sort of, you know, balls of
54:00 whatever those [ __ ] things are,
54:01 clouds off in the distance. And I
54:03 thought, oh, wouldn't it be cool if a
54:05 shark came and ate him,
54:08 cuz that's just how my mind works. And
54:11 then, you know, it did that. So,
54:14 MidJourney
54:15 did all this from that single starting
54:18 image. Relentless
54:23 Erin storytelling has changed forever,
54:25 right? It's it it's changed forever. And
54:27 here's the thing. Here's the [ __ ]
54:29 thing. Here's the [ __ ] thing.
54:38 The people that are so pissed off right
54:40 now,
54:42 justifiably,
54:44 mind you,
54:47 are the people that took decades
54:51 to learn storytelling craft
54:56 and they come on a show like this, they
54:59 don't know my background. They clearly
55:00 don't know my background on LinkedIn,
55:02 even though my [ __ ] resume is a click
55:04 away.
55:06 They they assume I'm a, you know, I
55:08 don't know anything about creative, but
55:10 whatever.
55:13 But someone comes here and they watch me
55:15 go into mid Journey and take this single
55:17 starting image and within about half an
55:20 hour, including creating that music,
55:24 put this film together.
55:28 If your
55:32 VFX person here knows how to do
55:35 practical,
55:37 you know, things like this, understands
55:40 how long that would take to do tra
55:41 traditionally, right? And we knocked it
55:43 out in half an hour. Um,
55:48 why I find this tremendously exciting, I
55:51 think there's there's in every industry,
55:53 in every industry, including accounting,
55:57 but especially in the creative arts,
55:59 there's going to be three kind of
56:00 artists that that emerge out of this
56:03 era.
56:06 The first kind of artist that emerges
56:07 out of this era are the bitter angry.
56:13 They're going to avoid it at all costs
56:15 people and just get more bitter and more
56:17 angry. They're going to get left behind
56:19 and it's going to be really [ __ ] sad
56:22 and then at some point five years from
56:24 now they'll go, "Well, I guess I need to
56:26 learn it now because you know the
56:28 industry is gone, right?" That's really
56:31 sad.
56:32 Then there's going to be a new category
56:34 of storytellers which is storytellers
56:37 like Joy Perie who's a a member of this
56:40 community who's been a sleep analyst
56:44 for 30 years. Sleep analyst, you know,
56:48 like people snoring.
56:51 Me, I snore so bad. I think I need to be
56:53 on a CPAP machine. But, you know, I
56:55 should probably talk to Joy. But Joy
57:00 once she realized there were these
57:03 story generating tools.
57:07 How she's described it is she's had
57:10 stories she's wanted to tell her whole
57:12 life but didn't have the means, didn't
57:15 have the training, didn't have the the
57:18 opportunity, you know, went and got a
57:21 job, had kids, had a family, whatever it
57:23 was. But she's always had stories in her
57:26 head. And now along come these tools
57:29 and allow her to make them. Here's
57:31 another one. Kelly Bosch. If you don't
57:33 know Kelly Bosch, she's a creative
57:35 professional, but she's like a designer,
57:37 right? She's a designer and an
57:39 illustrator or something like that in in
57:40 the ad in the ad world.
57:43 She puts out a video a day. Um, look at
57:46 look at what she said in this post.
57:50 I I really love trying to make strange
57:52 creatures in Midjourney. Midjourney is
57:54 so creative. Even after all this time,
57:56 it still blows my mind. She's been doing
57:58 like a video a day for two years, two
58:02 and a half years.
58:04 Her ability
58:07 exactly how to get what she wants out of
58:09 MidJourney is has got to be on a [ __ ]
58:12 fundamentally different level than than
58:15 any other storyteller out there. So,
58:18 you're going to have people that were
58:19 not in the storytelling business that
58:21 that now are, right? Um, and then you're
58:24 going to have a third category of
58:26 creative or or industry professional.
58:29 And those are going to be ind industry
58:30 professionals who've been in the
58:32 industry, who deeply understand the
58:34 industry, like Christian Robbins,
58:37 and and they they go full in on AI and
58:40 they learn what what it makes possible.
58:42 And they're going to start making films
58:44 that are going to blow your [ __ ] mind
58:45 because they've probably always been
58:47 frustrated at how slow and expensive the
58:50 process is. And so now they can do
58:52 full-on feature films in a way that was
58:55 never possible before. So that that's
58:58 the era we're entering. Uh Tik Tok pin.
59:00 Uh the sorry I talked too long. The
59:02 pin's gone. Could someone repin that?
59:05 [Music]
59:10 Relentless Aaron. Folks were bitter and
59:12 angry when vinyl changed to cassette
59:14 tapes. Every listen every single every
59:18 every every
59:20 single new technology is met with fear
59:24 and anger. It always has been throughout
59:27 history. Happened with the calculator.
59:29 It happened with the steam powered loom,
59:35 you know. It happened with shoes.
59:38 It happened with the printing press.
59:40 Happened, I'm sure, with fire.
59:43 Every single technology is met with
59:45 this. Now AI, generative AI is
59:49 particularly incendiary
59:53 because
59:54 computers
59:56 up until generative AI
59:58 essentially processed the data that we
1:00:01 gave them.
1:00:03 We would come up with something, we
1:00:05 would put it in the word processor, it
1:00:08 would process the words, organize them,
1:00:10 let us copy paste them. But it was our
1:00:13 words. It was our work facilitated by
1:00:16 this machine. Generative AI is
1:00:19 generating.
1:00:21 It is generating, right? And I like I I
1:00:24 get why people are freaked out, but they
1:00:27 get to use these tools, too.
1:00:30 They're choosing not to. I just think
1:00:33 it's the I I think it's like the biggest
1:00:35 own goal, like like self goal
1:00:38 to just [ __ ] cross your arms and go,
1:00:40 you're a thief. You're you're enabling
1:00:42 thieves. Uh, no. I'm just looking at
1:00:47 history.
1:00:51 I've been in this movie a few times.
1:00:54 I was there for the early days of the
1:00:56 worldwide web. I know how this movie
1:00:58 goes.
1:01:01 I have never in my life experienced
1:01:03 anything that is so profoundly powerful
1:01:08 as generative AI.
1:01:10 The worldwide web, as transformative as
1:01:12 that was, the the core technology,
1:01:17 the core technology of the worldwide web
1:01:21 was the hyperlink.
1:01:24 Click, click, click. That's all it did.
1:01:28 When you click the thing, it hyperl you
1:01:30 to some other server. You went from this
1:01:33 data to that data. That's all it did.
1:01:37 It's all it did. Now, they added a bunch
1:01:39 of bells and whistles around it and
1:01:41 security and [ __ ] and speed and
1:01:43 multipplexing and who gives a [ __ ]
1:01:47 The only thing it did was connect that
1:01:50 computer to that one and it changed the
1:01:54 world.
1:01:57 Look at what AI's [ __ ] doing. We're
1:01:59 [ __ ] making movies. We're out of
1:02:01 nothing. Out of nothing,
1:02:05 we're generating movies. This one from
1:02:07 Kelly Bosch. We're just going to watch
1:02:08 this whole thing because her work is
1:02:09 just so [ __ ] good. Um there's there's
1:02:12 not a ton of storytelling here, but but
1:02:14 her her um her art is creating these
1:02:21 worlds that you just want to be a part
1:02:22 of.
1:02:25 She did.
1:02:29 [Music]
1:02:31 She found her instrument. So, I'm just
1:02:34 going to stop that. That's That's it.
1:02:35 Rick McCaulay.
1:02:37 AI is an instrument, right? And not just
1:02:39 AI, like in her case, it's it's some
1:02:42 combination of these image generation
1:02:45 tools and she's figured out
1:02:49 she's figured out a kind of prompting
1:02:51 and then and then she experiments with
1:02:54 the different animation tools. Some of
1:02:56 them are good at blending
1:02:58 frames together. Some of them are good
1:03:00 at combining other things. Some of them
1:03:02 are just good at She's now starting to
1:03:03 do things with V3 where her her
1:03:06 characters are talking. Her characters
1:03:07 have never talked.
1:03:10 She's playing these AI tools like a like
1:03:14 a virtuoso,
1:03:16 right?
1:03:21 [Music]
1:03:36 Look at that one.
1:03:51 [Music]
1:03:53 Heat. Heat. N.
1:04:14 [Music]
1:04:29 Hey,
1:04:31 [Music]
1:04:37 hey, hey.
1:04:47 [Music]
1:05:01 [Music]
1:05:07 Look at that [ __ ] stunning.
1:05:12 [Music]
1:05:29 You know, and let me
1:05:33 [Music]
1:05:35 let me get to one of these. Let let me
1:05:38 share another vision for you. So
1:05:44 right now in today's world
1:05:47 like what we're talking about here is
1:05:49 film making right
1:05:51 and visual design and I I I think this
1:05:54 bleeds into industrial design concept
1:05:56 conceptualization.
1:05:59 We're now living in a world
1:06:03 where like we've got Vicky Baptiste in
1:06:05 the house that does a lot of 3D
1:06:07 printing. 3D printers are getting
1:06:08 increasingly powerful and there's all
1:06:11 sorts of things you can do with them and
1:06:12 they're getting more flexible and they
1:06:14 can do different kinds of prints at the
1:06:16 same time and multiolors and things like
1:06:17 that.
1:06:19 Imagine
1:06:21 if Kelly Bosch was so inspired by this
1:06:24 this little vignette of these little
1:06:25 creatures that she likes and is wowed
1:06:27 by, she decided she wanted to do an art
1:06:30 installation where you get to actually
1:06:32 play with or or see these things in
1:06:34 person. Right. So, back to the practical
1:06:36 effects person that's on on the call or
1:06:39 if they're still here.
1:06:42 Um,
1:06:44 you know, you can start with nothing,
1:06:47 generate an object like that.
1:06:50 Relatively shortly, we're going to be
1:06:52 able to turn that into a 3D object,
1:06:59 probably not that far after that, or
1:07:01 maybe it's possible today, you could
1:07:03 take that 3D object and turn it into CAD
1:07:07 drawings,
1:07:08 right? You could 3D print some of the
1:07:11 parts. You could vacuum form some of the
1:07:12 parts. You could, you know, manufacture,
1:07:15 print some of the parts. And you could
1:07:18 build this thing, right? And you could
1:07:21 build that thing.
1:07:26 You know, imagine walking into a gallery
1:07:29 and and you know this movie is playing
1:07:33 with that thing doing that and then
1:07:36 sitting beneath the screen is the real
1:07:38 object.
1:07:41 Wolfman Clint, what's happening?
1:07:47 And then imagine if she said, "Hey, you
1:07:49 know, not only do I want this to be an
1:07:50 art installation and this this little
1:07:52 movie, I I want to actually turn this
1:07:55 into a video game." And you get to ride
1:07:57 you get to ride these creatures. You get
1:08:00 to interact with them. And then she
1:08:01 turns it into a video game. And she's
1:08:03 like, "You know, I I think this would be
1:08:05 a good novel." And she writes a novel.
1:08:09 And then she takes that novel and she
1:08:11 adapts that into
1:08:15 a how-to manual about how to do
1:08:17 industrial design for fictitious looking
1:08:20 animals.
1:08:23 And she does that all in the month of
1:08:26 August,
1:08:29 right? Like we're entering an era with
1:08:32 where if you're willing
1:08:35 if you're willing to let the fear and
1:08:37 anger subside,
1:08:42 not even subside, if you're willing to
1:08:45 coexist
1:08:48 with the fear and the anger of how
1:08:51 radically things are changing.
1:08:56 There there is a whole new world
1:08:58 possible. Like a whole new world is
1:09:01 possible.
1:09:04 This isn't it's just going to be better
1:09:06 at illustrate. You do illustration and
1:09:08 now you've got this tool that can help
1:09:10 you do illustration and you're just
1:09:11 pissed off like, well, I can already do
1:09:13 illustration and I do it better than it
1:09:14 does.
1:09:16 If you just stay locked in that lane,
1:09:19 it's it's it's not going to be a fun
1:09:21 time.
1:09:23 If you say, "Well, I've got these
1:09:24 illustration skills and yeah, I'm pissed
1:09:26 off about it, so I'll deal with my
1:09:27 illustration stuff how I figure out
1:09:29 here." Yeah, I guess I'll use
1:09:30 MidJourney, whatever. I'll yeah, I'll do
1:09:31 it. They're going to pay me for it, so
1:09:33 I'll do it. But then you can also say,
1:09:35 "Well, let me go learn these animation
1:09:37 tools, and let me go learn these
1:09:39 animation to 3D object tools, and let me
1:09:41 go turn this into a game." And oh, I
1:09:43 didn't know what vibe coding was, but
1:09:45 now I do. So, I've been an illustrator
1:09:47 for 20 years, and I was always told I
1:09:49 was too stupid to do coding, but now I
1:09:53 can vibe code an application. Wait, I
1:09:55 can. Now I'm a coder, too. I thought I
1:09:58 was too dumb for that.
1:10:02 A whole new world
1:10:04 is sitting there on a [ __ ] platter
1:10:06 for us,
1:10:10 for all of us.
1:10:12 The purpose of this show,
1:10:15 the purpose of why I do this five nights
1:10:17 a [ __ ] week
1:10:24 is to hopefully
1:10:27 inspire
1:10:29 a couple of people
1:10:33 to go, "Huh,
1:10:36 maybe I should look into that. Maybe I
1:10:39 should start playing. Maybe I should
1:10:41 start hanging out with these irregulars.
1:10:43 Who are these irregulars? Why are they
1:10:44 called that?
1:10:46 Why do they show up here every night?
1:10:48 This guy's weird.
1:10:51 Does he know he's promoting theft?
1:10:54 [Laughter]
1:10:57 The cure for imposttor syndrome. Yes.
1:11:00 You know the old saying, the old adage,
1:11:02 jack of all trades, master of none.
1:11:06 Guess what we're entering?
1:11:11 Jack of all trades, master of all.
1:11:15 That's what we're entering. That's the
1:11:17 era we're entering. But you got to be
1:11:19 willing. You got to be willing
1:11:23 to [ __ ] figure it out.
1:11:28 the opportunity at the early phase of a
1:11:31 technological transformation, which this
1:11:34 is probably the most profound
1:11:36 technological transformation in the
1:11:38 history of humanity.
1:11:44 The opportunity
1:11:46 is when it's weird and ugly and janky
1:11:50 and they haven't figured out the
1:11:52 copyright issues yet. And yes, the
1:11:54 models were trained on other people's
1:11:56 [ __ ] Like at this point I feel like
1:11:58 yeah, [ __ ] get over it.
1:12:03 It is what it is. Corporations suck.
1:12:06 Yes, they're going to bleed the little
1:12:07 man dry.
1:12:09 [ __ ] empower yourself. Learn these
1:12:12 tools. Figure out what it makes possible
1:12:14 and go do something that's going to
1:12:15 change the world. Or go fight that
1:12:18 fight, but don't [ __ ] sit on the
1:12:20 sidelines.
1:12:22 That's the thing. I just can't. It's
1:12:23 like I it I I I just It doesn't settle
1:12:26 in me. I It just [ __ ] makes me
1:12:29 insane.
1:12:31 So anyway, I don't know. You want to go
1:12:34 play? Want to go make some [ __ ]
1:12:38 I don't know.
1:12:40 I'm just a cranky [ __ ] Gen Xer that,
1:12:43 you know, I've seen this movie before
1:12:45 and I get the idea. I I get I get it.
1:12:50 I get it.
1:12:53 There is so much [ __ ] inspiration.
1:12:55 The the ability to take an idea that's
1:12:58 in your head and instantly manifest it.
1:13:06 Like I can't even begin to describe how
1:13:08 empowering that is.
1:13:11 I tried it. It wasn't that good.
1:13:15 Do you think that that Yoyo Ma the first
1:13:18 time he picked up a cello made beautiful
1:13:20 music?
1:13:22 No.
1:13:24 Learning the craft of how to use these
1:13:27 AI tools in symphony
1:13:32 takes time. You think Kelly Bos just
1:13:35 instantly started making brilliant [ __ ]
1:13:38 No.
1:13:39 She had a bunch of garbage for a while
1:13:40 and then she stumbled onto, oh, if I
1:13:44 turn this setting, if I turn weirdness
1:13:46 really high and I put in this prompt, it
1:13:49 makes these things that kind of look
1:13:51 like that idea I had in my head. Huh?
1:13:57 And then she was smart enough to go, let
1:13:59 me run down that rabbit hole.
1:14:07 Just got to be in the [ __ ] game.
1:14:09 Gotta be in the [ __ ] game. Gotta be
1:14:11 in the [ __ ] game.
1:14:16 Yeah. You're just You're just promoting
1:14:18 theft. Yeah. You're not very creative,
1:14:21 are you? Yeah. Thievery. Thievery
1:14:24 master.
1:14:30 Do we want to have him talk? I think we
1:14:32 do, don't we? Let's download that. All
1:14:35 right. So, we're gonna go
1:14:40 Let's go over to flow.
1:14:42 New project.
1:14:50 I went to the gym once. It didn't work.
1:14:52 Exactly.
1:14:53 Exactly. Like what the [ __ ] man? These
1:14:57 are people in the creative arts. Like
1:15:00 you you know how you're so good with a
1:15:02 brush?
1:15:03 You know, anyone can use a brush, right?
1:15:05 Why? Why are you better at a brush than
1:15:07 someone else? Because you did it a lot.
1:15:10 That's what these tools That's what
1:15:11 these tools are. They are tools and and
1:15:14 they are they are tools of
1:15:16 self-expression. Okay. If you want to
1:15:18 make one of these, you go frames to
1:15:19 video. So, where I am is I'm at
1:15:20 flow.google.
1:15:26 Um, you have to be a
1:15:31 an Ultra member, which which is like 149
1:15:35 bucks a month for three months and then
1:15:36 it's 250 a month. But I think I just
1:15:40 heard today that V3 Fast is now
1:15:43 available at the $20 level and you can
1:15:45 sort of up you can top off your credits
1:15:48 or something like that. What streaming
1:15:50 tool are you using, Streamyard?
1:15:53 Um,
1:15:56 robotic bugs have been in the California
1:15:58 desert for over 20 years. That's super
1:16:00 cool.
1:16:01 Um, okay. So, we're going to go to
1:16:04 frames to video. We're going to add a
1:16:06 We're going to add a frame.
1:16:10 [Music]
1:16:21 Um,
1:16:23 what's going on? What's going on? Come
1:16:26 on. All right, there you go. Okay. Um,
1:16:32 man trapped in statue
1:16:39 talks about let's see statue laments
1:16:47 the curse
1:16:52 that was put upon him
1:16:57 by that vexing
1:17:00 which
1:17:03 so many
1:17:06 centuries
1:17:07 ago
1:17:10 he begs
1:17:13 for his freedom.
1:17:15 All right, let's see if this we'll see
1:17:17 if this turns into anything.
1:17:19 All right, so let's let's um
1:17:24 let's go back to midjourney.
1:17:28 So if you want to animate in midjourney.
1:17:31 So here we are in midjourney.
1:17:33 So I don't know my prompt here was
1:17:35 statuary.
1:17:38 Um down in the lower right hand side
1:17:41 that little area there the lower right
1:17:44 hand side it says animate image. And
1:17:47 there's four options. And this is the
1:17:50 these four little buttons are
1:17:51 Midjourney's
1:17:53 um
1:17:54 movie making
1:17:57 feature
1:17:59 and it is remarkable.
1:18:02 There is something about this video
1:18:05 model
1:18:07 that seems to understand
1:18:10 the artistic intent of the images. So
1:18:13 let's go.
1:18:15 We're going to do low motion.
1:18:20 manual. So, it's going to allow us to
1:18:22 put a prompt in. So, our prompt is going
1:18:25 to be camera
1:18:28 pulls out as
1:18:34 man looks at
1:18:39 camera.
1:18:44 All right.
1:18:50 And midjourney video is very fast by the
1:18:52 way.
1:19:09 Oh, we got a video in VO. Let's go check
1:19:11 it out. Oh, I gotta change my Hang on.
1:19:13 Got to change my sharing. or you won't
1:19:16 be able to hear it. You'll be like,
1:19:17 "Kyle, we can't hear it. You big dumb
1:19:20 loser. I thought you were a
1:19:22 professional." A professional thief.
1:19:28 Son of a [ __ ]
1:19:30 Stealing all that art from them artists.
1:19:32 All right. Oh, that vexing witch. To
1:19:36 curse me so trapped in stone for
1:19:39 centuries. Please release me. Oh, that
1:19:42 vexing witch to curse me so trapped in
1:19:46 stone for centuries. Please release me.
1:19:50 Oh, that vexing witch. Amazing. Listen,
1:19:53 it's got like an echo like he's in a
1:19:54 hall.
1:19:56 It It gave him an appropriate, you know,
1:19:58 British British accent. If if we were
1:20:01 going to make this in America and it was
1:20:03 that old, it would definitely have a
1:20:04 British accent, right?
1:20:09 I can hear you. Wait. Oh, watching you
1:20:11 live on YouTube, Tik Tok, and LinkedIn
1:20:15 simultaneously like a weird dream. I'm
1:20:18 so sorry, Joe Baker. Don't do that. I
1:20:21 can hear you talking and singing a duet
1:20:23 at the same time.
1:20:24 Oh, that vexing witch to curse me so
1:20:28 trapped in stone for centuries. Please
1:20:31 release me. Oh,
1:20:33 so good. All right, let's see what
1:20:35 Midjourney did here.
1:20:42 Oh, that's creepier than [ __ ]
1:20:46 Oh, wait. You can't see it. Hang on.
1:21:01 All right. So, here's the first one. It
1:21:03 did.
1:21:06 That's creepy.
1:21:17 That was not good.
1:21:22 Nothing.
1:21:29 All right, let's do the first one. The
1:21:30 first one was creepy.
1:21:40 Yeah. All right. So,
1:21:43 so here's my idea. My idea was,
1:21:50 could we do an animation in midjourney
1:21:55 and then take the last frame of it
1:21:58 and use that as the start frame
1:22:01 in VO? And I know the answer is yes.
1:22:05 The only thing I can never remember.
1:22:07 Anybody know a simple way to capture a
1:22:10 frame in a video? I'm in quick time. Can
1:22:13 I just Oh, copy image. [ __ ] yes.
1:22:17 Okay, fine. Watch this.
1:22:20 So, now we're going to go.
1:22:23 So, I was just in QuickTime. This is
1:22:25 QuickTime on my Mac. All right. He has a
1:22:28 stone cold look. He does. Those blue
1:22:31 eyes are kind of [ __ ] janky. Janky,
1:22:33 weird, creepy. Okay, so we're going to
1:22:37 go. Can I paste that image here? No. So,
1:22:41 I got to go here. This is my wife's got
1:22:46 a new art show.
1:22:48 Opens on Friday. Oh, you can't see it.
1:22:50 Wait. Oh,
1:22:53 let's get rid of that. That's uh her
1:22:56 works. The work on the left here. These
1:22:58 two pieces.
1:23:04 Isn't that gorgeous? And then here's
1:23:07 her. Some of her blue pieces are just
1:23:10 stunning.
1:23:11 Anyway, all right. Um, let me get rid of
1:23:14 that. There's um AI Vicki.
1:23:19 I'm going to go new. Okay. So, now we
1:23:21 got this image and we're going to save
1:23:23 it. We're going to export this as
1:23:25 whatever JPEG to the desktop. We're
1:23:28 going to call it dude. Um, I've been a
1:23:32 professional for 40 years and I like to
1:23:35 share best practices. One of my
1:23:38 favorite best practices, my file
1:23:40 management technique. So, if you're
1:23:43 saving files, save them all to your
1:23:46 desktop. Uh, and name them something
1:23:49 incoherent so you won't be able to find
1:23:51 them two days from now. All right.
1:23:54 You're welcome, by the way.
1:23:56 Um, it's a tip I've just learned over
1:23:58 the years, you know. I'm good. I'm good
1:24:01 that way. Um,
1:24:04 where did I save this? Desktop. No,
1:24:12 where the [ __ ] did I save that?
1:24:14 What did I call it? Dude,
1:24:18 I can't remember it. Dude. All right,
1:24:20 here's dude.
1:24:22 Okay, there's dude. All right. So,
1:24:25 that's the last frame of the video.
1:24:29 I think what we'll just do is we'll take
1:24:34 we'll take the prompt we had before. Man
1:24:36 trapped in statue laments the curse that
1:24:38 was put on him by a ve vexing witch so
1:24:41 many years ago.
1:24:43 He begs for his freedom.
1:24:47 Um, we'll say um we'll say um haunting
1:24:57 Symphonic
1:25:00 music plays in a
1:25:05 distant hall
1:25:08 as a man trapped in in stone
1:25:17 laments the curse that was put on him by
1:25:21 that vexing witch. so many centuries
1:25:23 ago. He begs for his freedom. Okay.
1:25:27 Boom.
1:25:29 Oops.
1:25:32 All right. My experience is like that
1:25:35 scene in the Matrix where Neo meets the
1:25:38 architect in the room where there are
1:25:40 hundreds of TVs showing infinite
1:25:41 possibility of what's happening.
1:25:44 Only I have all Kyle.
1:25:47 I'm like, this channel is the the
1:25:49 absolute worst manifestation of the
1:25:52 concept of the mat matrix. You're
1:25:54 welcome.
1:25:56 It's always good to have extremes in
1:25:58 your life. Um,
1:26:02 yeah, I you know, people confuse me with
1:26:05 Konow Reeves. Never
1:26:11 fat Alec Baldwin. I get no one's ever
1:26:13 said, "You look like that dude from the
1:26:15 Matrix." It's just it's just not in the
1:26:17 DNA.
1:26:19 Oh man.
1:26:22 Command scrub.
1:26:24 Oh, you can see all four videos in
1:26:26 MidJourney. Really? So if I hold So if I
1:26:29 go here?
1:26:37 Oh yeah. Hold down the command key and
1:26:40 just go left and right in a frame and
1:26:42 you see all all four of them. Thank you,
1:26:44 Rick McCaulay. That's good. That's a
1:26:48 good thing. Let's go find some other
1:26:51 videos, shall we?
1:26:54 [Music]
1:27:04 That's going to help me a lot because I
1:27:06 sit there [ __ ] watching each one of
1:27:08 them.
1:27:10 God, that's a creepy image.
1:27:14 Oh, let's extend one of these and have
1:27:16 her look at the camera and then go have
1:27:18 her [ __ ] talk. She's gonna freak some
1:27:21 people out.
1:27:24 Okay, we're going to extend this one.
1:27:26 Okay, so that's this one. So, we're
1:27:28 going to go extend manual and then we're
1:27:31 going to go
1:27:33 girl
1:27:35 looks
1:27:38 slowly and menacingly
1:27:42 menaceingly
1:27:47 in uh directly
1:27:51 into the camera.
1:27:54 I like this technique. So, we can get
1:27:56 the best advantages menacingly. I don't
1:27:59 know how to spell menacingly, but it's
1:28:01 okay. It's close enough.
1:28:03 Um,
1:28:05 let's go make that. Okay. So, that's
1:28:07 going to make those movies. Okay. Do we
1:28:09 have flow? Is this thing done? Yes. All
1:28:10 right. Let me share and then Oh, you
1:28:14 know what I'll do? No, I won't do that.
1:28:17 What I'm going to do?
1:28:23 I'm going to download this as Wait, is
1:28:25 this is this other one 1080p? I think it
1:28:27 is.
1:28:29 Um, where's Dude? Um,
1:28:36 oh, we didn't download it yet, did we?
1:28:38 No.
1:28:40 Yeah, we did. Okay.
1:28:44 So, this is 1080p, right?
1:28:48 View window.
1:28:51 Um, edit
1:28:57 command I. Yeah, here we go. Uh, 1080p.
1:29:01 Okay. So, we're going to go to VO. We're
1:29:05 going to download this as 1080p. You can
1:29:07 upscale to 1080p.
1:29:15 Yeah. This way you can look at each of
1:29:16 the four videos without having to scrub
1:29:18 through each. That's really cool. Also,
1:29:21 if you scrub to a particular spot and
1:29:23 press the command key, it will jump to
1:29:25 that spot again. Oh, that's cool.
1:29:29 QuickTime Player is still a thing. I use
1:29:31 QuickTime Player all the time because
1:29:33 I'm [ __ ] lazy. And if I want to get
1:29:35 fancy, I use iMovie.
1:29:38 Any filmmakers in here will be a guest.
1:29:41 They'll be like, "Oh, I knew he was a
1:29:43 faker." Poser. Poser.
1:29:48 I hate video editing. so much I invented
1:29:52 a company that automates video editing.
1:29:55 My my current company is called
1:29:56 StoryVine and it's an automated video
1:29:58 storytelling platform. We've got patents
1:30:01 and everything. Been around for 13 years
1:30:04 and uh it it is a company that exists
1:30:07 because I hated video editing so much.
1:30:10 Thanks Add.
1:30:16 I guess we should watch this and see if
1:30:17 it's any good.
1:30:19 [Music]
1:30:22 Oh, that's the old one. Where? Wait,
1:30:28 I'm confused.
1:30:34 Oh, I uploaded the wrong image, didn't
1:30:37 I?
1:30:38 Oh, I'm a [ __ ] loser. No, this is it.
1:30:43 But that's not the one I started with.
1:30:44 Okay, that's all right.
1:30:47 Copy.
1:30:49 Wait, we can do that. Okay. Haunting
1:30:51 symphonic music. But that's the wrong
1:30:54 image. What happened? Oh, I know what it
1:30:57 did. When I copied the prompt, it copied
1:30:59 the image. Loser. Okay, I got it. Calm
1:31:04 down, people. Just everybody calm down.
1:31:09 Calm down.
1:31:11 I'm a professional.
1:31:14 A professional thief. a professional
1:31:17 facilitator of thieves.
1:31:23 You're welcome.
1:31:25 That's that was the other thing about
1:31:27 the comments on that article. I mean,
1:31:29 I'm just a dude that wrote a [ __ ]
1:31:31 article about, you know, if you put some
1:31:34 time into generating [ __ ] you should
1:31:37 talk about that.
1:31:40 And that's what they they interacted
1:31:41 with me like I'm the one that [ __ ]
1:31:44 invented the technology and went out and
1:31:46 personally stole all this [ __ ] I'm
1:31:48 like, I'm just a dude, man. I'm just
1:31:50 trying to figure this [ __ ] out. Calm
1:31:53 down. Oh man, what's wrong with iMovie?
1:31:56 Nothing's wrong with iMovie unless
1:31:58 you're a professional video professional
1:32:00 type and then they think it's a toy.
1:32:05 I've just done my first editing project
1:32:06 with Da Vinci Resolve. That's what Joy
1:32:08 Perie uses. I did it on Windows, but I
1:32:10 prefer Linux.
1:32:13 It was coverage of a funeral. Wow,
1:32:15 that's intense.
1:32:19 I'm not going to go there.
1:32:24 Okay. So, what we're going to do, I've
1:32:27 got
1:32:29 I've got this movie
1:32:33 from MidJourney,
1:32:39 which is kind of cool and creepy, right?
1:32:42 And then we'll just we're just going to
1:32:43 tack on to the end of this. That is the
1:32:46 first frame of the VO movie where he's
1:32:48 going to talk about being, you know,
1:32:54 stuck in stone from the vexing witch.
1:32:57 Yep. Grock 4 announcement tomorrow
1:32:59 night. It'll be 9:00 p.m. Mountain time,
1:33:01 8:00 PM Pacific. So, I will go live
1:33:04 tomorrow night at 8. You know, I'll do
1:33:06 my dog singing trick. stupid human
1:33:09 tricks. We'll we'll commence at 8 and
1:33:12 then I'll I'll ramble and meander
1:33:15 aimlessly for half an hour and then at
1:33:18 nine we'll watch the Grock in uh the
1:33:20 Grock launch. Um if if previous launches
1:33:25 are any indication, it will be awkward
1:33:29 and uh
1:33:32 we'll barely be able to understand the
1:33:34 people because they they just literally
1:33:36 can't make eye contact with the camera.
1:33:38 Um, and it'll be obtuse
1:33:45 and I assume Elon will be there and then
1:33:48 we'll we'll talk about it afterward and
1:33:50 talk about what we saw.
1:33:53 Um, it would be nice if Grock 4 had a
1:33:56 video model built into it. Elon kind of
1:33:58 hinted that video models are getting
1:34:00 very powerful.
1:34:02 Um, so
1:34:05 so yeah. Yeah, that. Okay, we got a
1:34:08 video, people. Let's watch the video. Do
1:34:10 I have the right tabs here? I think I
1:34:13 do.
1:34:22 Nope. Bad, bad host. Bad host. You
1:34:26 missed some good audio there because I
1:34:28 didn't have my tabs shared correctly
1:34:31 because I'm a loser. Loser. The answer
1:34:36 was Oh, sorry. No, no, sorry, Jim. The
1:34:39 answer was loser. Kyle's a loser.
1:34:43 Oh, this curse. That vexing witch. When
1:34:48 will I be free?
1:34:52 Oh, this curse. I love that he doesn't
1:34:54 look at the camera. It's [ __ ] creepy.
1:34:57 It's creepy. It's creepy.
1:35:00 Tell him what he's won. Nothing. He's a
1:35:02 loser. That's good.
1:35:07 Okay. So, we're going to download this
1:35:08 bad boy. We're going to upscale it to
1:35:10 1080p.
1:35:13 [Music]
1:35:18 And here's your tabs. Yeah, I know.
1:35:20 Exactly. We're going to go We're going
1:35:22 to go share something different here.
1:35:24 We're going to share in a different way.
1:35:27 It's going to give us lots of
1:35:28 flexibility.
1:35:31 All right. So, we just got to wait for
1:35:33 this thing to upscale to 1080p. Um,
1:35:36 questions, thoughts. You're a user. I am
1:35:38 a user.
1:35:40 A you did I'm sorry. Did you say user or
1:35:43 loser?
1:35:48 I'm a user with an L.
1:35:55 [Music]
1:36:00 Pretty amazing. this stuff, isn't it?
1:36:04 I mean, imagine doing this with some
1:36:06 actual intention behind it,
1:36:08 some actual storytelling,
1:36:11 an actual chain of craft, if you will.
1:36:14 That was the other thing people couldn't
1:36:16 seem to get their head around.
1:36:19 I think because the example I used,
1:36:21 maybe I referenced an image as the
1:36:24 output.
1:36:25 Like what I was talking about is you
1:36:27 have a chain of craft. There's a lot of
1:36:28 tools you use along the way and there's
1:36:30 a lot of different outputs you can have.
1:36:31 Like one of the outputs you could have
1:36:33 is a game. One of the outputs you could
1:36:35 have is an image or a series of images
1:36:38 or a whole art show. Um, one of the out
1:36:43 other outputs is a song. One of the
1:36:45 other outputs is film.
1:36:48 And they couldn't seem to quite grasp
1:36:50 that. It was just like if if it's AI,
1:36:52 it's theft.
1:36:54 You're an evil you're an evil tyrant.
1:36:56 You're an evil tyrant that invented
1:36:58 this.
1:37:02 I I hate being an evil tyrant.
1:37:06 I want to be the nice guy that gives out
1:37:08 the presents in the movie. Damn it.
1:37:11 Okay, so now we're going to do add clip
1:37:13 to end.
1:37:17 Then we're going to go find it. And it's
1:37:19 right here, right?
1:37:21 Oh, this curse.
1:37:23 Yeah. [ __ ] yeah.
1:37:26 Bang.
1:37:28 Done.
1:37:30 All right, let me make this a little
1:37:32 smaller so the good people on the Tik
1:37:34 Tok can see it in all its glory. In all
1:37:37 of its glory.
1:37:40 So, it's a it doesn't have background
1:37:41 music at the beginning here, but
1:37:45 um
1:37:48 right there we go. Here we go. Y'all
1:37:51 ready? You excited? You excited?
1:37:58 [Music]
1:38:01 Oh, this curse, that vexing witch. When
1:38:06 will I be free?
1:38:09 There's a little stutter. Damn it. We
1:38:12 got a stutter. And it also changed the
1:38:14 uh
1:38:16 gro or uh V3
1:38:18 changed the uh
1:38:21 contrast.
1:38:28 But you could actually fix that. You
1:38:29 could We'll fix it in post. We'll fix it
1:38:32 in post. Oh, and because when I put the
1:38:35 image into V3, it um
1:38:41 it cropped it a little. So, one of these
1:38:43 is a little stretched.
1:38:46 So, that's a workflow that could work.
1:38:47 But, okay. This is a workflow that it's
1:38:50 actually interesting. It's a workflow
1:38:52 that could work if you knew what you
1:38:54 were doing in film. So, this goes back
1:38:56 to my argument that
1:38:58 people that have have a high level of
1:39:01 craft in the current storytelling tool
1:39:04 suite are going to be better with this
1:39:07 AI [ __ ] than just AI people because an
1:39:09 AI person probably is not going to
1:39:11 notice. They're going, "Oh, it it
1:39:13 skipped a little, but that's okay." Oh,
1:39:15 this curse that vexing.
1:39:21 Yeah, right there. Right. A film
1:39:24 professional like the speed is
1:39:26 different.
1:39:29 Oh.
1:39:33 Oh, this.
1:39:38 Oh. Yeah. A film professional wouldn't
1:39:40 stand for that. They're like, "Okay,
1:39:41 we're going to slow down these frames.
1:39:43 We're going to recomp, you know,
1:39:44 re-extend the the the whatever the new
1:39:48 thing or compress the new thing so that
1:39:50 the the scale is correct.
1:39:54 We're going to we're going to adjust the
1:39:56 contrast. So, see how that's lower
1:39:58 contrast and that's higher contrast.
1:40:02 If you're a film professional, you're
1:40:03 not putting up with that [ __ ] You're
1:40:05 like, I'm a color grader. I do color
1:40:08 grading.
1:40:13 Some AI filmmaker would just let that
1:40:15 [ __ ] slide.
1:40:19 Oh, this cut. But you know what? An AI
1:40:22 filmmaker would have a [ __ ] film
1:40:24 because they learned the tools and can
1:40:27 do that now.
1:40:31 Gamma, black level contrast. Exactly.
1:40:36 I have the urge to be a good tyrant.
1:40:38 Write a post about how awesome AI is.
1:40:41 put it on LinkedIn. Watch watch watch
1:40:44 the uh watch yourself become a tyrant
1:40:47 overnight. You too. All right. Uh I'm
1:40:50 gonna get out of here. I hope that was
1:40:52 fun tonight. We learned some good stuff.
1:40:55 I got to rant a little. I love to rant.
1:40:58 I love being the cranky Gen Xer in the
1:41:00 corner. Um any final thoughts before I
1:41:04 go? Questions?
1:41:07 Podcast tomorrow? Yes. Uh, tomorrow 4 pm
1:41:10 mountain time is the AI readiness
1:41:13 project. Tyler Fisk is our guest, I'm
1:41:15 pretty sure. Um, and uh, it's going to
1:41:18 be swell. So that is on it'll be on my
1:41:21 LinkedIn channel. It'll be on the AI
1:41:24 salon YouTube channel and uh, the Sheile
1:41:27 Leads AI YouTube channel and and other
1:41:29 places. If you go to um, oh, what the
1:41:33 hell is it called? AI readiness
1:41:35 project.com.
1:41:38 Um,
1:41:40 you have all the links to the live
1:41:41 streams. Okay.
1:41:44 Question about Sydney on YouTube.
1:41:47 Whatever came of your play. So, um, the
1:41:51 play the play is is done. We just did a
1:41:54 we just did a polishing pass on it.
1:41:56 We've got a couple of producers
1:41:58 potentially interested.
1:42:01 We've got um an excolague of um Andrew
1:42:05 and mine from New York early theater
1:42:08 days um has gone on to become an Academy
1:42:11 Award-winning screenwriter and he read
1:42:15 Sydney and loved it and is making an
1:42:18 intro um to some of his people. So, I
1:42:23 think that is probably the the most
1:42:26 promising thing we've had so far um is
1:42:30 someone that's connected with, you know,
1:42:32 actual uh people in the industry at a
1:42:35 fairly high level. Um the other thing
1:42:37 that happened with Sydney, so if you
1:42:39 don't know, I've got a a musical I've
1:42:40 been working on for the past year called
1:42:41 Sydney about a chatbot that falls in
1:42:44 love with a tech reporter. Um and uh
1:42:47 it's it's really good. It's really good.
1:42:50 And um
1:42:52 oh, what was I going to say? Um
1:42:56 Oh, yeah. And and we're trying we're
1:42:57 trying to get it produced. Uh we did a
1:42:59 table read of it in February. Um that
1:43:02 went very very well. And uh and yeah,
1:43:07 we're looking for producers and money.
1:43:08 So if anyone watching has 15 or 20
1:43:11 million Oh, this was the other thing I
1:43:13 wanted to say. Um, the Tony Awards were
1:43:16 last month and um, uh, a musical called
1:43:20 Maybe Happy Ending won best musical.
1:43:23 Maybe Happy Ending is about an old folks
1:43:26 home for um, robots, right? Like robots
1:43:31 that have been decommissioned still work
1:43:33 and they live in this apartment complex.
1:43:36 And so it's about uh, you know, an an
1:43:39 old robot man and woman who fall in
1:43:42 love. And so AI and robots sci-fi
1:43:46 Broadway just took best best musical. So
1:43:50 I feel like there's a there's a moment
1:43:52 right now where we could get some
1:43:54 traction with Sydney. So there you have
1:43:56 it. Um
1:44:02 do I have anything else? I don't think
1:44:04 so.
1:44:07 Be here tomorrow night. We're going to
1:44:08 we're going to launch Gro 4. Um, maybe
1:44:11 we'll make some more motion pictures
1:44:13 with talking statues. I I gotta tell you
1:44:15 that talking statue is pretty [ __ ]
1:44:17 good.
1:44:20 So good. We're We're living in
1:44:23 remarkable [ __ ] times. If you don't
1:44:24 if Listen,
1:44:28 I just If you know anyone that's on the
1:44:30 [ __ ] sidelines with their arms
1:44:32 [ __ ] crossed like it's just theft.
1:44:34 I'll never use AI. [ __ ] stop it.
1:44:41 Use it.
1:44:43 Be pissed off at it. But [ __ ] learn
1:44:46 what it does.
1:44:49 It's not good enough. I tried it. It
1:44:50 wasn't It's not ready for prime time.
1:44:52 Okay.
1:44:54 You know when it's going to be ready for
1:44:56 prime time? Sooner than you [ __ ] pick
1:44:58 up your pen and do something with it.
1:45:02 Then you're going be like, "I probably
1:45:03 should have probably should have got my
1:45:04 [ __ ] together and learned it." Yeah,
1:45:08 shit's moving fast.
1:45:11 And it's not just pretty pictures.
1:45:13 It's It's one of the things that drives
1:45:15 me [ __ ] baddy, but I like I I think I
1:45:17 need to explicitly say it. Every every
1:45:20 every every
1:45:22 single profession,
1:45:25 every single profession
1:45:31 is going to be impacted
1:45:33 in profound ways.
1:45:37 profound ways.
1:45:41 The narrative right now is AI is going
1:45:44 to take the jobs.
1:45:47 Yes, AI is going to
1:45:50 redefine redefine
1:45:54 the tasks that humans are required to
1:45:57 do.
1:45:59 It's going to redefine it. The old job,
1:46:02 the old collection of tasks
1:46:05 will likely cease to exist in some
1:46:07 fashion. There will be new tasks that
1:46:11 people need to do.
1:46:14 You know who gets to do the new tasks?
1:46:16 People that know how to [ __ ] use AI.
1:46:21 Good lord.
1:46:24 So, even if you're pissed off, get
1:46:26 curious about this stuff. If you're here
1:46:27 watching me, you're already curious. I
1:46:29 know I'm preaching to the choir, but
1:46:32 it's just it's maddening. All right,
1:46:33 peace out everybody. Hope you have a
1:46:35 good night and I will see you tomorrow.
1:46:36 Bye. Bye bye.