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

Transcript

1. 0:00[Music] Load the car and write the note. [Music]
2. 0:15Grab your bags and grab your coat. Tell the ones that need to know. [Music] We are headed north.
3. 0:30[Music] One foot in and one foot back. Well, it don't care like that.
4. 0:45So, I cut the ties and jump the tracks for never to return. [Music]
5. 1:00take me in. Are you where the shape I'm in? My hands they shake my head. [Music]
6. 1:15Oh, Brooklyn, Brooklyn, take me. When at first I learned to speak, I used all my words to fight
7. 1:31with him and her and you and me. Yeah, it was just a waste of time. It was such a waste of time. [Music]
8. 1:49That woman, she's got eyes that shine like a pair of stolen polish dimes. She has to dance. I said it's fine.
9. 2:06I'll meet you in the morning. [Music] Brooklyn, take me in. Are you where the shape I'm in?
10. 2:22[Music] My hands they shake. My head is spin. Oh, Brooklyn, Brooklyn, take me in. [Music] Three words that became hard to say.
11. 2:42I am love and you. What you were then I am today. Look at the things I do.
12. 2:58Yeah. [Music] Take me in. [Music] Are you where the shape I'm in? [Music] My hands they shake my head in space.
13. 3:15[Music] Oh, Brooklyn, Brooklyn, take me in. Dumb down and numb by time and age. [Music] Your dreams they catch the world cage.
14. 3:33The highway sets the traveler the stage. All exits look the same. Three words that became hard to say.
15. 3:49[Music] I had love and you I had love at you. [Music]
16. 4:05I had love at you. [Music] [Applause] [Music] Very nice. Champs Shannon on lead vocals
17. 4:21there. Got some AIT brothers doing some fantastic AIT brothers tonight. Well, I don't know if it's fantastic. It's me
18. 4:27doing it. So, you know, it's there there's there's words. There's words and guitar vibrations. Um, how is everybody Tuesday night? Yikes.
19. 4:40yesterday also phone [Music] side hustle Mimi on time tonight. Very nice. I think we're going to be doing
20. 4:56some movie making tonight. Um, we've played with VO before. VO3. Hang on a second. Just calm calm. Everybody calm down. I've got cable
21. 5:10management I'm dealing with over here. You think it's easy? Do you know where producer Brandon is? He's in [ __ ] Ohio.
22. 5:19If I've got cable management issues here, he's not in the studio. He's one of those remote employees, you
23. 5:27know. Well, not an employee. There's no pay, but that's not the point. Um, I gotta do this. I gotta if if I got
24. 5:39to plug something in, I'm plugging it in. You know, I know everybody thinks this is all glamorous and like just people ask me for
25. 5:49autographs all day, which is true. I get get a lot of that. A lot of that. I'm very popular on LinkedIn. I don't know
26. 5:55if you knew this. Um got a big following on LinkedIn. Um they all hate me. Boy, do they hate me. You ever been
27. 6:08hated by I I have never had a LinkedIn post go semiviral until until I wrote, "You can take pride in your work if you if you uh if you use
28. 6:22chain of craft, some lame ass concept I came up with. Boy, did that stir up the hornets nest." If you're on LinkedIn and you hate me,
29. 6:32hello. Hope you're well. I actually do um wish everyone there well and uh there's a lot of vitriol. [Music]
30. 6:47Yeah, exactly. Yeah. Wait till they hear about my new book, Feed the Prompt. I think I'm going to have a chain of craft section in the book.
31. 6:58[Music] Oh, by checking the signal every few seconds, of course, if nobody hates
32. 7:12you, you're probably not standing for anything. Yeah. No, it was really amazing. Um, yeah. What was all that
33. 7:20about on LinkedIn? I missed the whole situation. Oh, hey, Kelly Cam. What's up? Were you late last night? Did you
34. 7:26miss something? You missed you missed an AI learning lab. Please please don't tell me you're getting a like a a whole thing you do
35. 7:35other than this. Please. That that can Oh, she wasn't here. Wow. All right. She was here yesterday. Oh, producer Brandon said you were here
36. 7:48yesterday. Um, rut row source camp's in trouble. Source Camp played hookie. She's got She's got a Demerit. We haven't given
37. 8:00Demerits out since Alio's wife was here. All right, Source Camp, I guess you're taking up the mantle on Demerits. Um,
38. 8:07okay. So, here's what happened. So, last Thursday or so on right here on on this here live, um, I kind of had this epiphany. I kind
39. 8:19of had a breakthrough and and I said, I want to talk about chains. And people were like, chains? What are you talking
40. 8:25about? Um, and I came up with this this idea called chains of craft. Not chains of crap, which some of the irregulars
41. 8:35thought I was saying chains of crap. No, chains of craft. And what chains of craft are are, okay, when somebody asks you like like
42. 8:49like Kelly, you're a good example. Like you show them something. you show them something you did and like the question
43. 8:55is what tool did you use and what I realized I've been doing for like two and a half years is I answer the question oh I used this tool
44. 9:08and then it that's kind of it the conversation's kind of dead and what hit me was it's it's not always intended to
45. 9:16diminish your contribution but it's a very reductionist kind of question what tool did you use is like
46. 9:25oh it's just this one thing that you did and what I realized is almost every output that I do is some long chain of
47. 9:34activity and some of it involves um you know working with AI tools and some of it's just like me sitting thinking
48. 9:44some of it's like me getting on a whiteboard maybe I put something into chat GPT it gives me an idea then I go
49. 9:50over to this tool and try it doesn't quite work then I come back trying to refine the prompt and I there. So the
50. 9:55chain of craft is like knowing which tools to use, knowing when they might work and how they might work, testing if
51. 10:02they do work, right? The the chain of craft is like just like when you make a film, there's all of these things that you need to understand
52. 10:11and and you know, every day is a series of problem-solving steps. That was a thing. And so the idea for
53. 10:18this was if someone asks you, hey, what tool did you use that you could actually respond with your chain of craft, you
54. 10:25could say, well, I mean, I used probably a dozen tools in making this. And what I started with was the the oldest tool,
55. 10:33you know, known to me, which is the whiteboard. I went to the whiteboard and I just sketched out some ideas. And then
56. 10:38I went to chat GPT and I fleshed them out. Or I went to chat GPT and I generated 20 ideas because I had this
57. 10:44this problem I had to solve. And then it came up with a bunch of ideas and then I did this and then I did that
58. 10:50and then what that does is it it says, you know, here's all the human contribution that was a part of this. So
59. 10:56not that big an idea, right? It's just like instead of just kind of acknowledging that, oh, I just push a
60. 11:03button and out comes crap. You just talk about the process, right? So I went on LinkedIn on Saturday, Saturday or Sunday
61. 11:10and I wrote an article and it's called introducing a new concept chain of craft or something or it's like never answer
62. 11:16this question again and the questions were you know what tool did you use and some other some other reductionist kind
63. 11:22of question and so I just did this thing that the difference between AI slop and really interesting work is very often
64. 11:32the interesting work has some chain of craft behind it and if you have that chain of craft. You should talk about
65. 11:37it. Well, holy [ __ ] [ __ ] People came out of the woodwork to just [ __ ] blast me a new one for How dare
66. 11:51I How dare I declare that someone could do something with AI that was that that they claimed they could own because it's
67. 12:03only theft, right? AI is only theft, so you can't actually own it. And and by saying there was I there was a whole
68. 12:11thread about I was promoting AI ownership, which I've reread the piece three times now. I don't think it's in
69. 12:19there, but that that became one of the tropes. And then the other thing is just I I am out there um promoting theft and destruction of
70. 12:30artists and and I was yelled at many many times for not being a a creative that I don't really understand the
71. 12:36creative world even though I've been a creative professional for 40 [ __ ] years. So, but it was just like it kind
72. 12:44of went viral and it just, you know, I engaged with a bunch of them and I tried to have conversations with them, but
73. 12:49they just wouldn't have conversations. And then and and Brandon had a good idea. He said, "What if you go on video
74. 12:54with a couple of them?" So, I reached out to one dude that was just really vitriolic. I'm like, "Why don't we get
75. 13:00on video and just talk about this?" "No thanks. I'm not interested in that." And then just kept, you know, spamming me
76. 13:05and trolling me. And then and then this other dude today I said I said listen here here's all the points you made
77. 13:14about copyright. I don't disagree with you. There's a bunch of [ __ ] up stuff about how these models were produced.
78. 13:20It's just you and I have two different ways of approaching it. Right? I want to learn everything I can about this
79. 13:27because this is going to change everything and you know you're not using the tools because you're taking a stand.
80. 13:35We both agree on all the core points. Just where we disagree is on the thing. So I said, "Why don't we get on video
81. 13:40and talk about it?" And he was like, "Oh, I'll do that. I'll take you up on that." And then after like yelling at me
82. 13:46for [ __ ] two days, he's like, "Oh, by the way, thought I should let you know I use AI all the time. I use MidJourney
83. 13:53and I use this and I use that." And and he said, "But here's where I draw the line with the copyright stuff." I'm
84. 13:59like, "Okay, so then you're fine." Like my whole point here is use the tools, get curious about them.
85. 14:08They're not going away. That was another thing. If I when I said they're not AI is not going away, they're like that's a
86. 14:14that's a [ __ ] argument because, you know, just because it's bad, you know, and it's not going away, you're going to
87. 14:20that means you're going to use it. I'm like, yeah. Yeah, because it's not going away and it changes everything. Um, so anyway,
88. 14:39oh my god, I love it because craft is my third C. Context, curation, craft. Great. Love it. But man, nobody listened. Went crazy.
89. 14:50Yeah, I know. It was crazy. [Music] Silent noise, your post is great. Oh,
90. 15:05thank you, Rick. Silent noise. Techno Enor and Oh, Enor, an open- source AI companion concept with long-term memory
91. 15:15and archetypes. That sounds interesting. Enor O E N O R A I
92. 15:29[Music] not. Do you have a URL? I'll go take a look at it. If it's if it's open source, it's probably on Hugging Face. If it's
93. 15:45anything where I have to install it here, I can't really do it. I can't really do it here. Oh, GitHub. GitHub. Yeah, it's it's on
94. 15:53GitHub. I'm gonna I Here's here's my here's my Here's my deal with open source. Um, I'm not
95. 16:10technical enough to figure it out, but I'm add enough that I can't I can't keep track of what I installed and what I didn't. And a lot
96. 16:19of the open source stuff, you're installing stuff or you have to spin up virtual machines and it's just there's a
97. 16:25there's a there's a layer of complication with open source and it's also open source is changing so fast. So
98. 16:32if there's a thing I can just click on and go play with it, I'll go play with it. But for the most part, I don't muck
99. 16:37with open source just because it's too hard to manage. Um it's just not good for the way my brain works. Um, and I
100. 16:44figure any of the stuff that survives the the open- source gauntlet that gets incorporated into some commercial tools,
101. 16:52I'll end up getting to use anyway, right? So, that that's sort of where I am with that stuff. Um, opinion is like
102. 16:58[ __ ] Every everyone's got one, right? Yeah. Every [ __ ] comes to the circus to expose themselves publicly. Well, you
103. 17:07know what's funny, Rick McCaulay, is I thought that the and and listen, I was not 100% professional in a lot of my
104. 17:14responses, but people were just being dicks. Um there like LinkedIn is a professional network. My article was not incendiary,
105. 17:25right? I didn't say that all artists, you know, should should never work again and we should only use AI. I didn't do
106. 17:33one of those kind of posts. It was like if you think about, you know, all of the steps that you do to get a good result, you should talk
107. 17:42about that. That was what the article was. And man, these people just came in there and these are people that some of them
108. 17:48had like jobs at big companies with, you know, really interesting um roles and they're just in there acting like idiots
109. 17:59and and it's like, you know, if if I'm working in a place and and I know that people are getting laid off because they're AI illiterate.
110. 18:14Um, at a minimum I I I would think I would be curious about it. And man, they're just out there publicly going,
111. 18:20"I will never use AI. AI theft. You're a [ __ ] loser." It was crazy. They didn't say [ __ ] loser. That was my
112. 18:27interpretation of it. Um, yeah. No one ever thinks their stinks. Yeah, exactly. This is just a chat. What's just a chat?
113. 18:36The uh the uh the ano ano thing. Hey, you know, uh uh uh well, I can go to GitHub and see it. Hang on. Um GitHub
114. 18:55search a what was it? AE n o AI is like fire in some people's minds. it. Yeah, it you know what it is, Rick?
115. 19:10That's a really that's a really good metaphor that that these these people on LinkedIn are responding to me as if I've
116. 19:18I've I've tamed fire. I've got like fire on a stick and they're like, "Oh my god, it's going to kill me." Right? Like the
117. 19:24the response is totally amydala overload, right? That that they are in fight or flight. Absolutely. It's fear. It's anger. Um, and it's it's
118. 19:35existential. And it's like I have deep empathy for it, but it's like I'm trying to have a dialogue with the people and
119. 19:40they just come keep coming back and telling me what a piece of [ __ ] I am. Um, a E N O R. Okay. A E N O R.
120. 19:56Ano launcher? That's a Russian site. Ain't no client. Try that one. [Music]
121. 20:12Where? I I I ain't see it, Buck. Yeah, I I can't I can't I'm not good enough. I'm not good enough at GitHub to
122. 20:30I just listen I was gonna I was when I started this channel I was going to start going down that rabbit hole and I just decided
123. 20:38not to and so there you go. All right. Um they want AI shut down essentially. Yeah, that's that's it. Ashu that that their contention is um
124. 20:52AI is theft. AI has stolen from them personally, right? like they're they I don't they seem to have this this
125. 21:02perception that if I generate an image it has taken money out of their pocket. Well, like I don't know how many
126. 21:12millions of images or probably millions of artists this [ __ ] was trained on, but like it's so for any image that I do it like how many
127. 21:24how many sampled images are are part part of that? Is it 10,000? Is it a 100,000? And like was one image of
128. 21:34theirs in that training set? I don't know. Like there's no attribution system that tracks all that [ __ ] Now, could
129. 21:41OpenAI have built that? Could Midjourney have built that? Probably. Could they retroactively go build an attribution
130. 21:48system? Probably. Are they doing it? No. Right. They're like, we'll see you in court. Like, you can, you know, we think
131. 21:57that this is transformative and we think it's fair use. and and the the judgment that just came down from one of the
132. 22:03courts basically says it's fair use so long as you paid for the content that was for books. So So that's going to establish some
133. 22:11sort of precedent there. But they also said you can't steal the work. So, how I think this goes is at some point
134. 22:20some big copyright holder like Disney or Sony or [ __ ] Pixar or whoever says, "Hey, Open AI, pay us $1.3 billion
135. 22:31and we'll call it a wash." And those guys are going to get paid off and then all the little guys are not. And like, is that shitty? Yes.
136. 22:42Is that problematic? Yes. Do we have the most profoundly powerful tools in the history of humanity because of that? Yes.
137. 22:55And they're not going away. So like my point is you can be pissed off but like learn the [ __ ] tools, right? Like it's they're just they're
138. 23:06they're shooting themselves in the foot. I think I figured it out. This is the second week we wave of AI disbelief.
139. 23:14That feels right to me, Gareth. They are saying things we heard two years ago. I really think there are more of these
140. 23:20people saying the exact same things. I I don't disagree. And I I think what it is is a lot of the comments that I saw when
141. 23:29when I said, "Well, have you actually [ __ ] tried it?" I didn't say [ __ ] That's what I when I typed the word,
142. 23:36"Have you tried it?" or "Have you actually tried it?" There was an implied [ __ ] in it. but I'm a professional.
143. 23:45And and a lot of the responses to have you tried it was, "Oh yeah, I tried it once. It wasn't very good. It's not up
144. 23:51to commercial standards." And I'm like, "Have you used any of these things lately?" Because that sounds an awful lot like
145. 24:00the [ __ ] we heard two years ago. So I I agree. So I think there's there's probably a wave of people coming. What's
146. 24:08I I think what might be precipitating the rage is that um if I were an illustrator, if I were an animator, if I were
147. 24:21um someone in special effects in motion graphics, um I can I can only imagine that the the freelance pipeline is it has fallen
148. 24:39off a cliff. I know there's a guy here in Denver named Steve Pocross and he had he had a huge like a I don't know I
149. 24:47think he had like 150 250 employee content creation company um really successful company really amazing and
150. 24:58then AI came along and he said it was just like demand like fell off a cliff and so I have a feeling that so it hit
151. 25:08like like his was a copywriting company, right? So, so Chad GPT hit copywriting companies within six months, maybe a
152. 25:17year of coming out. Like he said, he said he lost a couple of big contracts and then there was a kind of a slow
153. 25:24descent and then it just fell off a cliff, right? And he ended up selling the company. Um, YouTube, Jeff and
154. 25:32Gareth. Jeff, there seems to be a marketing method that begins with AI is something ne negative is clickbait. I
155. 25:40don't know that that's just marketing. I think that's um I think that's the news. like why don't we see stories about AI, you
156. 25:53know, um cur, you know, getting someone's diagnosis, right? That they haven't been diagnosed in 10 years and
157. 26:00AI helped them get it diagnosed. We don't see those stories because they're not people won't watch them. They only
158. 26:05want to watch the negative stuff. So, I think part of it's just media [ __ ] It's very much bowling for Coline uh
159. 26:12kind of stuff with this stuff right now. Um, there isn't a single person There isn't a single person that isn't using AI every day.
160. 26:23No, I disagree with that. I think there's a lot of people not using AI. 15,000 people at layoff. 30% of code's
161. 26:30written by AI. Yeah, there you go. Read the comment above. Oh, what's funny is that all these people are using AI
162. 26:38every day and don't even realize it. Oh, well, yeah, there's that. There's that. Well, that that's one of my other arguments is like
163. 26:47when I when I've talked to a lot of these AI haters in person, particularly the the creative ones, I'm like, "So,
164. 26:58but you're good with like the medical stuff, right? Like curing diseases." Oh, yeah. That's that's that's Yeah. I mean,
165. 27:04that's that's different, is it? Because in order to do that those medical breakthroughs, they had to train those models on
166. 27:15research that PhD students did. So they stole a bunch of research, right? According to to their logic, they're like, "Yeah, but that's
167. 27:29different." Well, Deep Mind for material science, they had they went out and they stole all of the known work that was
168. 27:36done on material science. They stole it and put it in this model and that's how we got the 40,000 new unique models. Oh no, it was more than
169. 27:44it was 240,000 or something like that new materials. That's okay. Oh, okay. So, it's only if it's stolen from your particular niche. Now,
170. 27:58I have I I am not an illustrator. I am a writer, but I'm not an illustrator. I cannot imagine how terrifying it must be
171. 28:10to have spent 20 years building a business around selling your illustration services that you do a particular kind of illustration really
172. 28:20[ __ ] well and then you see something like MidJourney or or now chat GPT. You can literally upload any image in the
173. 28:27chat GPT right now and say make me a different you know image than this in this style. So, um, Source Camp neighbor told me she
174. 28:38met an awesome customer service rep today and wanted to be her friend. Oh, no. And it was an AI. My neighbor was really disappointed. Oh,
175. 28:50no. H CEO should pay alimony with each AI related firing worker alimony. Yeah, that's that. I mean, we're gonna have to
176. 29:06figure out some economic model. Tik Tok pin Pate trolling. It's hard to steal publicly available research, but
177. 29:13okay. Not all that research is publicly available though, Pate. A lot of that stuff's behind payw walls. Um,
178. 29:27I'm a practical VFX artist. VXF VXF took over with AI. I'm making my practical sing. Sorry, not sorry. VX VFX. I'm making my
179. 29:40practicals sing. I think I understand what you're saying there. Yeah. Listen, I any I I mean the creative arts
180. 29:50are the most visible because we can see the work, right? writers. It's it's harder to know the profound impact on
181. 29:59writers because not everyone reads. We're not a super literate, you know, society here in America. Um, so not
182. 30:05everyone reads and and not in order to understand, you know, the impact on writing, you actually have to know
183. 30:12writing and read and understand that. Um, so that industry has been relatively massively disrupted and it's going to
184. 30:22keep getting worse or better depending on which side of the money equation you're on. Um, but because the AI tools
185. 30:30are not perfect right now, writers that are AI literate are in high demand because they've taken their writing
186. 30:38skills and shifted them into prompting skills and they still need editors, right? It still needs editorial.
187. 30:45when you start doing things like motion graphics and VX VFX and illustrations and animations and things like that, um
188. 30:53the tools have gotten so good. I mean, honest to [ __ ] god, the midjourney animation and the V3 that we're going to play with tonight is
189. 31:04Okay, let me be careful how I say this. If you're a film professional, if you're a VXF professional, you're going to look
190. 31:11at every one of the V VFX vomit that's coming out of these AI tools and you're going to go, "Okay, the physics are all
191. 31:19wrong. Explosions don't look like that. This thing's in slow motion. That's not in slow motion. It's an absolute travesty." 90
192. 31:29no 85% of the people won't notice it at all. you know, 90% of the people might notice that's a little off, but it's fine,
193. 31:40right? And then, you know, and then, you know, the last 5% are like, "This is a travesty." That number is going to keep
194. 31:46getting, you know, smaller and smaller or bigger and bigger and bigger. The people that just don't notice that the
195. 31:50tools are so good that that you can just do stuff. Now, in order to do a film right now, if you want to do something well-crafted, you
196. 32:00need a long chain of craft. You need you need lots of knowledge. You probably need a nonlinear editor. You probably
197. 32:06need, you know, sound effects, VFX effects, things like that to cover up the warts of AI generation. But you
198. 32:13could do it. You could absolutely do a film today with the tools that are out. Two years from now, we're going to be
199. 32:20speaking feature films into existence, right? And it's going to be the kind of thing where like one of the things that that
200. 32:29happened on this channel fairly early on is when we started playing around with chat GPT, people were like, "Oh, I could
201. 32:35make a story book for my kids, right?" And so they would go and they would make some illustrations and you couldn't keep
202. 32:40the characters consistent. It was really maddening. But a bunch of people made a bunch of children's books. And now like
203. 32:47making a children's book is trivial. You can just do it. It's just like bang, you knock it out. Um, you know, Brandon,
204. 32:53producer Brandon here over the weekend, his kids invented a game in the sand where they were throwing sand at zombies
205. 33:01or something like that and he thought, "Huh, that would be a good video game." And he got home and in lovable with a
206. 33:07single prompt, he vibecoded a throw sand at the Oh, on your phone on your phone from the hotel lobby. He just said
207. 33:18on his phone from the hotel lobby went to lovable.dev dev and said, "I want a video game where you throw sand at zombies."
208. 33:25And it made it. And now his kids play the game that they invented. So, so and and you know, a game developer will look at that game and be
209. 33:37like, "Well, it's not a real game. It's right." Coders will look at vibe coders say, "Well, it's not really vibe coding.
210. 33:44Vibe coding is not really coding. I do real coding." Um, so it is an existential threat. And
211. 33:58if you've got those skills, whoever said that they're a a a VFX person, if you've got those skills, you're going to be
212. 34:06able to work with these AI tools. If you take if if you're willing to take the risk to learn them, and it sounds like
213. 34:11you have, you're going to be able to look at the output of that stuff and go, "Oh, I know what's wrong with this." and
214. 34:17you're going to be able to figure out how to start prompting these things to get better results than some clueless newbie.
215. 34:24But the VFX people that are are like snobby and like, "Well, that's not real VFX, so I would never do that." And
216. 34:30they're stealing from us anyway. They're just going to be sitting on the side. And what's going to happen is that
217. 34:35clueless newbie, as the tools get better, their skills are going to get better. Not their VFX skills, but their
218. 34:42prompting skills, their ability to get these tools to give them something interesting. And all of a sudden, the old school VFX
219. 34:49people are going to be [ __ ] There's a there's a great um I don't know if the if the VXSX person is still in here, but
220. 34:56uh there's a great uh company out of Boulder called $11 bill run by a guy named Christian Robbins. Um really good
221. 35:03guy. He's spoken at the AI salon a couple of times and um he's it's it's like a 20 year old 15 20 year old VFX house and he can do full-on
222. 35:17AI VXS VFX. He can do full-on standard procedure. Some of his clients want it the oldfashioned way. Some of them want
223. 35:26it full AI. Some of them want some hybrid thing and he can kind of dial it up and down from full AI to no AI.
224. 35:34That's genius. That's genius. Like that's a differentiator in the market right now. And so those AI literate
225. 35:42people that have deep skills are just going to be better than other people at it. Side hustle Mimi. It's all fun and
226. 35:49trolls up until someone vibe codes a multi-million dollar app. Yeah, exactly. That's This is the thing. I mean, we're
227. 35:56gonna go play with Look at this [ __ ] Hang on. Let me let me go here. Let me go here. I gotta change my
228. 36:06Oh, great. We've got influencers on the beach. She's hot. Oh, yeah. Spin me spin me up an influencer AI.
229. 36:21Okay, let me let me just show you something. Not her. Good lord. Um [Music]
230. 36:38That's a cool Kelly Bosch quote. Um reckoning is nigh. Repent sinners. The garbage reckoning is
231. 36:54nigh. Repent. Wait. Hi. I agree with what you're saying on VFX. I'm a practical makeup creature FX guy. Oh, yeah. Wow. Um, I'm
232. 37:08making real stuff. Yeah. So, so listen. So, listen. I I I think that I think that demand for that kind of work in
233. 37:17general is going to go down because someone can just spin up like what I have on screen right now. Someone can
234. 37:22just spin up, you know, oh, you want to you want a talking raccoon, you know, in a in a garbage alley? Um, if you were
235. 37:30doing that practically, you know, that would take you some time. But here's what I do believe. I believe that
236. 37:36handcrafted stuff, the value of it is going to go up dramatically. I think there's going to be a weird transition
237. 37:42period where everybody gets enamored. The tools are going to get good enough that we can just knock some
238. 37:49highquality stuff out. And then I think we move into a place where films go from one to many to like hyperpersonalized
239. 37:57where we'll all just be generating films that we watch for ourselves and then I think it will eb and flow.
240. 38:05Then I think we'll go back to some sort of one to many kind of thing where films films of a different nature are created.
241. 38:11And I think one of the categories of film that's going to be um that's gonna that's going to be really popular is
242. 38:19like films that feel and are handcrafted. So I think it's actually smart what you're doing that that that
243. 38:26feels very smart to me to be um to to lean into the lean into lean into your practical skills. One of my one of my
244. 38:34favorite classes in uh I went to school for for acting and the uh the uh we we had um what's his name? Oh, [ __ ]
245. 38:45He was a head makeup guy. He worked for Roger Corman. Um Tom Tom Cevini. Ceini I think was his name. U and he did a a a special effects
246. 38:58makeup course. That that was a [ __ ] cool course. Um, just amazing stuff. Um, but anyway, all right. Um, I can see
247. 39:06custom films where you provide the script, story, or plot and someone does it for you. Absolutely. Roger Corman,
248. 39:11there's a throwback. Yeah, I know, right? Kyle, did you see how Grock went off the rails today? Yeah, they they uh they
249. 39:19they turned off some of the political correctness because I guess Elon wants it to be able to be nastier.
250. 39:28And then tomorrow we're supposed to get Grock 4. So apparently it's going to be smart and nasty. Um, we had to convince
251. 39:35somebody to dress up as zombies to do that stuff. Yeah, exactly. Oh, so let me show you some of these some of these
252. 39:40videos. I mean, we're at a place now. Let me show you her first. Well, I'll show you this old dude. I I I really like um,
253. 39:53so that was an image from Mid Journey. I was just I was mucking around. I was working with my writing partner on the
254. 39:59musical I'm working on and I was just showing him how you could use a single word prompt and midjourney and just
255. 40:07change, you know, style settings and suffs and mood boards and things like that. Um, and so this was just an image
256. 40:14that it made and then I took this image and so V3 now you can use a start frame and have it talk which you couldn't do
257. 40:23until yesterday. Um, so, so this was a single word prompt in midjourney with [ __ ] around with style settings. And
258. 40:30then this this image came out. Then I pasted this into VO3 and I said, "Have it have this guy in a grally old voice
259. 40:37say these words." And I wrote the words. Generosity isn't about you. It never has been. Now give me a dollar. Generosity isn't about you.
260. 40:49I mean, holy [ __ ] Like that's that could be a scene in a film. Now, is there jankiness to it? Is there
261. 40:55weirdness to it? Yeah. But like, are we close? We're pretty [ __ ] close. Um, here's uh here's neon. You don't need to know
262. 41:05neon dust. This is my new favorite carney carney chick that I'm that I invented in mid Journey. You don't need to know my name to
263. 41:16understand how bad I will break you. Right. She's just a little mink. She's going to break your heart. And then
264. 41:25here's her here here's her uh her buddy from the carnival. Do you know Neon Dust? Have you seen her? She has something of mine. She has
265. 41:36my heart. Find her now. Do you know Neon Dust? I mean that was These were just like just [ __ ] around little experiments.
266. 41:48Just [ __ ] around little experiments. get an interesting image in midjourney, take it to VO3, have it say some [ __ ]
267. 41:55So, you cut two or three of the three of these back and forth together, you'd have a five minute scene in no time.
268. 42:02Well, not a five-minute scene, a two-minute scene in no time, right? So, so we're at a place if you've got storytelling ability, and if you
269. 42:11don't have storytelling ability, by the way, go to chat GPT. Here's the thing. Everyone talks about storytell. Oh, you
270. 42:20should be good at storytelling. That's that's great if you're a liberal arts major and you know about storytelling.
271. 42:25But what if you don't? Well, you go to chat GPT and you're like, hey, everyone's talking about storytelling.
272. 42:31How how do I tell stories? Like, what are story? I don't Someone told me about a storytelling framework. What's a
273. 42:37storytelling framework? Chat GPT will vomit out what a storytelling framework is. Then you can go uh give what are the
274. 42:43top five storytelling frameworks? Well, here's hero's journey. Here's Save the Cat. Here's, you know, uh, what's his name? Sidfield, right?
275. 42:53And then you go, "Oh, I like those. I have this idea for a movie. Here's the thing. Could you put it in one of those
276. 42:58storytelling frameworks?" Out it comes. So, even if you're not good at storytelling, if you don't innately have
277. 43:06it, you at least have the resources. If you're good at being nimble with these tools and understanding that they might
278. 43:14be good at something that you're not. Then you take that outline of a story and you say, "Hey, I want to take I want
279. 43:23to take that first scene. I want to bring it to life. So, design the characters for me. Let's come up with a visual style. Let me go over to
280. 43:30MidJourney and try to make all those characters." And before you know it, you know, before the weekend's out, you've got a trailer
281. 43:38or or the first scene of a film that was a whisper of an idea on Friday afternoon. [Music]
282. 44:32freedom came our way that night. Just like a jet plane in and out of sight. I was hauling ass at a million miles an
283. 44:46hour. Wonder when they came into the station. [Music] Okay. Um, analog singing is going to go
284. 45:02up in value even if you're shitty at it. So, oh, you want to know you want to see another cool thing I did here? So, I
285. 45:14made this picture, right? And we turned it into this cool video. Have you seen her? She has something of
286. 45:19mine. She has my heart. Find her now. Find her now. Um, see this story? I took this picture
287. 45:35into chat GPT and my super sophisticated I'm a prompt engineering master. I don't know if you knew that you can't have a channel
288. 45:45called AI learning lab unless you're a prompt engineering master. So I went to chat GPT and my masterful prompt was tell me the backstory.
289. 45:58Tell me the backstory. That was it. Look what it wrote. They call him Varnish, a once glorious ring master of a traveling underground
290. 46:09circus that spun through the ashes of the post zones. Ruins of cities turned into lawless playgrounds for the lost
291. 46:16and defiant. Varnish wasn't always a clown. He was once a visual poet, an architect of color and chaos. Known for
292. 46:23painting the skies of the wastelands with neon smoke and radioactive glitter bombs. He built entire hallucinations
293. 46:30out of light, motion, and junk tech. His masterpiece, a love letter, and ultraviolet. The Neon Dust Show, Neon
294. 46:38Dust, right? We we met her earlier. A kinetic light opera with one central muse, a rebel named Neon Dust.
295. 46:47Beyond Dust was a dancer, an icon, a flame that couldn't be held. She entered his circus like a meteor through glass,
296. 46:54performed like she had a vendetta against gravity, and left varnish spellbound. But the love wasn't mutual.
297. 47:01She devoured adoration like candy, fed on obsession, then vanished, leaving behind only scorched sequins and a
298. 47:09voicemail that said, "You paint the world pretty, but I need someone who can burn it down." I mean, [ __ ] Really? This is good writing.
299. 47:27It's good writing. Vanish, broke, cracked like a warped mirror. Is it perfect? No. But is it does it tell
300. 47:42his story? Yeah. Do you know Neon Dust? Right. Have you seen her? It captures it captures the dystopian thing.
301. 47:54It even talks about the twins. What's it say about the twins? Um, let's see. Behind him stand the echoes.
302. 48:05His twin hype men ruck and spill. No one knows their real names. They speak in rhyme and riddles, move like
303. 48:11animatronics, and wear war paint that looks like joy that looks like joy chewed up and spit. Wait, looks like
304. 48:19Wait, war paint that looks like joy chewed up and spit out. Their job amplify Varnish's myth, blur the tragedy
305. 48:28behind him, and keep keep the show pulsing with dread and euphoria. Ruck was once a sound sculptor. He rewired
306. 48:35carnival organs to play ancient hip hop in poly rhythms that that mess with your heartbeat. Spill used to be a a combat medic. Now
307. 48:45he's a stage illusion illusionist whose tricks always end with something catching on fire. They follow Varnish,
308. 48:51not out of loyalty, but because they've seen what he becomes when he's left alone with his grief. And what of neon dust? I mean, come on.
309. 49:02Now we know who they are. Do you know Neon Dust? Have you seen her? She has something of mine. She has my heart. Find her now.
310. 49:13All right. Um, maybe we go play. You want to go play? Anybody have any questions, thoughts?
311. 49:28narrow. Um, where are we going to start? Oh, I have an idea.
312. 49:46We're going to try some We're going to try some hybrid film making here. Um, VO V3 is okay, but the thing that I'm
313. 50:00really impressed with is its ability to make things make people talk or or characters talk, but you can only do
314. 50:08eight seconds and you can't extend them and things like that. Tabby McTab face. Oh, yeah. Good idea. Thank you. [Music]
315. 50:23Oh my god, am I tired? What is this yawning thing? There's no sleeping in AI.
316. 50:40Okay. So, if you don't know, well, couple of things. Um, if anyone's here from my from my hater fan club, my
317. 50:50AI AI hate fan club, welcome. Um, one of the absolute worst tools in terms of copyright I don't give a fuckness is Midjourney,
318. 51:03which is also probably why it's so good. But Mid Midjourney is really, really good. Um, and their video model is
319. 51:12there's just something special about it. So, the idea that I had was we'll go into midjourney, we'll generate some images. That'll be fun.
320. 51:22Then we'll animate some of those images. And one of the things you can do here, I'll show you actually if the VX VFX guy
321. 51:31is still in here or woman. I don't know if you're a man or a woman. It just you just say user. You're a user, an abuser, sir. Madam, they um
322. 51:44I did a video in here last week using Midjourney. Oh, wait. I got to I got to change my tabs again. Hang on a sec so you can hear it. Let me
323. 51:57let me let me let me show you let me show you what we did. Um I'll play the video for you first. Um and then we'll talk about it.
324. 52:16Okay. [Music]
325. 52:46It still cracks me up. That's good storytelling. I'm sorry. He's just having fun doing his little thing. And oh no, Mr. Bill. But um
326. 52:59this video, so the music was done in Sunno. Um the the the video was done 100% in midjourney. And the way midjourney works is it'll
327. 53:11generate a 5-second video and then you can extend it four times of 4 seconds each. And so what I did in this case is
328. 53:19for each of those extensions, I gave it a different prompt. So we did some storytelling, right? So the the first
329. 53:25prompt was whatever he runs across the clouds and there's fish in the sky, whatever it was, and he jumps over the fire.
330. 53:32And then he ended up like right here. And then I said he should juggle those, you know, wool balls. And so I did a
331. 53:40prompt about him juggling. And then there's that. So that's extension number one. And then I said, "Oh, let's have him have a circus hat."
332. 53:48That's extension number two. Then I said a prompt about let's turn and see the audience, which we don't see
333. 53:55the audience, but we see that really creepy sort of, you know, balls of whatever those [ __ ] things are, clouds off in the distance. And I
334. 54:03thought, oh, wouldn't it be cool if a shark came and ate him, cuz that's just how my mind works. And then, you know, it did that. So,
335. 54:13MidJourney did all this from that single starting image. Relentless Erin storytelling has changed forever,
336. 54:25right? It's it it's changed forever. And here's the thing. Here's the [ __ ] thing. Here's the [ __ ] thing.
337. 54:38The people that are so pissed off right now, justifiably, mind you, are the people that took decades to learn storytelling craft
338. 54:56and they come on a show like this, they don't know my background. They clearly don't know my background on LinkedIn,
339. 55:01even though my [ __ ] resume is a click away. They they assume I'm a, you know, I don't know anything about creative, but whatever.
340. 55:13But someone comes here and they watch me go into mid Journey and take this single starting image and within about half an
341. 55:19hour, including creating that music, put this film together. If your VFX person here knows how to do
342. 55:35practical, you know, things like this, understands how long that would take to do tra traditionally, right? And we knocked it
343. 55:42out in half an hour. Um, why I find this tremendously exciting, I think there's there's in every industry,
344. 55:53in every industry, including accounting, but especially in the creative arts, there's going to be three kind of
345. 56:00artists that that emerge out of this era. The first kind of artist that emerges out of this era are the bitter angry.
346. 56:13They're going to avoid it at all costs people and just get more bitter and more angry. They're going to get left behind
347. 56:18and it's going to be really [ __ ] sad and then at some point five years from now they'll go, "Well, I guess I need to
348. 56:25learn it now because you know the industry is gone, right?" That's really sad. Then there's going to be a new category
349. 56:33of storytellers which is storytellers like Joy Perie who's a a member of this community who's been a sleep analyst
350. 56:43for 30 years. Sleep analyst, you know, like people snoring. Me, I snore so bad. I think I need to be on a CPAP machine. But, you know, I
351. 56:55should probably talk to Joy. But Joy once she realized there were these story generating tools. How she's described it is she's had
352. 57:10stories she's wanted to tell her whole life but didn't have the means, didn't have the training, didn't have the the
353. 57:17opportunity, you know, went and got a job, had kids, had a family, whatever it was. But she's always had stories in her
354. 57:25head. And now along come these tools and allow her to make them. Here's another one. Kelly Bosch. If you don't
355. 57:33know Kelly Bosch, she's a creative professional, but she's like a designer, right? She's a designer and an
356. 57:38illustrator or something like that in in the ad in the ad world. She puts out a video a day. Um, look at look at what she said in this post.
357. 57:50I I really love trying to make strange creatures in Midjourney. Midjourney is so creative. Even after all this time,
358. 57:56it still blows my mind. She's been doing like a video a day for two years, two and a half years. Her ability
359. 58:06exactly how to get what she wants out of MidJourney is has got to be on a [ __ ] fundamentally different level than than
360. 58:14any other storyteller out there. So, you're going to have people that were not in the storytelling business that
361. 58:21that now are, right? Um, and then you're going to have a third category of creative or or industry professional.
362. 58:28And those are going to be ind industry professionals who've been in the industry, who deeply understand the
363. 58:34industry, like Christian Robbins, and and they they go full in on AI and they learn what what it makes possible.
364. 58:42And they're going to start making films that are going to blow your [ __ ] mind because they've probably always been
365. 58:47frustrated at how slow and expensive the process is. And so now they can do full-on feature films in a way that was
366. 58:55never possible before. So that that's the era we're entering. Uh Tik Tok pin. Uh the sorry I talked too long. The
367. 59:01pin's gone. Could someone repin that? [Music] Relentless Aaron. Folks were bitter and angry when vinyl changed to cassette
368. 59:13tapes. Every listen every single every every every single new technology is met with fear and anger. It always has been throughout
369. 59:27history. Happened with the calculator. It happened with the steam powered loom, you know. It happened with shoes.
370. 59:37It happened with the printing press. Happened, I'm sure, with fire. Every single technology is met with this. Now AI, generative AI is
371. 59:48particularly incendiary because computers up until generative AI essentially processed the data that we gave them.
372. 1:00:03We would come up with something, we would put it in the word processor, it would process the words, organize them,
373. 1:00:10let us copy paste them. But it was our words. It was our work facilitated by this machine. Generative AI is generating.
374. 1:00:21It is generating, right? And I like I I get why people are freaked out, but they get to use these tools, too.
375. 1:00:30They're choosing not to. I just think it's the I I think it's like the biggest own goal, like like self goal
376. 1:00:38to just [ __ ] cross your arms and go, you're a thief. You're you're enabling thieves. Uh, no. I'm just looking at history.
377. 1:00:50I've been in this movie a few times. I was there for the early days of the worldwide web. I know how this movie goes.
378. 1:01:00I have never in my life experienced anything that is so profoundly powerful as generative AI. The worldwide web, as transformative as
379. 1:01:12that was, the the core technology, the core technology of the worldwide web was the hyperlink. Click, click, click. That's all it did.
380. 1:01:28When you click the thing, it hyperl you to some other server. You went from this data to that data. That's all it did.
381. 1:01:36It's all it did. Now, they added a bunch of bells and whistles around it and security and [ __ ] and speed and
382. 1:01:42multipplexing and who gives a [ __ ] The only thing it did was connect that computer to that one and it changed the world.
383. 1:01:57Look at what AI's [ __ ] doing. We're [ __ ] making movies. We're out of nothing. Out of nothing, we're generating movies. This one from
384. 1:02:06Kelly Bosch. We're just going to watch this whole thing because her work is just so [ __ ] good. Um there's there's
385. 1:02:11not a ton of storytelling here, but but her her um her art is creating these worlds that you just want to be a part of. She did.
386. 1:02:29[Music] She found her instrument. So, I'm just going to stop that. That's That's it. Rick McCaulay. AI is an instrument, right? And not just
387. 1:02:39AI, like in her case, it's it's some combination of these image generation tools and she's figured out she's figured out a kind of prompting
388. 1:02:50and then and then she experiments with the different animation tools. Some of them are good at blending
389. 1:02:58frames together. Some of them are good at combining other things. Some of them are just good at She's now starting to
390. 1:03:03do things with V3 where her her characters are talking. Her characters have never talked. She's playing these AI tools like a like
391. 1:03:14a virtuoso, right? [Music]
392. 1:03:36Look at that one.
393. 1:03:50[Music] Heat. Heat. N.
394. 1:04:14[Music]
395. 1:04:29Hey, [Music] hey, hey.
396. 1:04:47[Music] [Music]
397. 1:05:06Look at that [ __ ] stunning. [Music]
398. 1:05:28You know, and let me [Music] let me get to one of these. Let let me share another vision for you. So
399. 1:05:44right now in today's world like what we're talking about here is film making right and visual design and I I I think this
400. 1:05:53bleeds into industrial design concept conceptualization. We're now living in a world where like we've got Vicky Baptiste in
401. 1:06:05the house that does a lot of 3D printing. 3D printers are getting increasingly powerful and there's all
402. 1:06:10sorts of things you can do with them and they're getting more flexible and they can do different kinds of prints at the
403. 1:06:15same time and multiolors and things like that. Imagine if Kelly Bosch was so inspired by this this little vignette of these little
404. 1:06:25creatures that she likes and is wowed by, she decided she wanted to do an art installation where you get to actually
405. 1:06:32play with or or see these things in person. Right. So, back to the practical effects person that's on on the call or if they're still here.
406. 1:06:42Um, you know, you can start with nothing, generate an object like that. Relatively shortly, we're going to be
407. 1:06:52able to turn that into a 3D object, probably not that far after that, or maybe it's possible today, you could
408. 1:07:03take that 3D object and turn it into CAD drawings, right? You could 3D print some of the parts. You could vacuum form some of the
409. 1:07:12parts. You could, you know, manufacture, print some of the parts. And you could build this thing, right? And you could build that thing.
410. 1:07:25You know, imagine walking into a gallery and and you know this movie is playing with that thing doing that and then
411. 1:07:35sitting beneath the screen is the real object. Wolfman Clint, what's happening? And then imagine if she said, "Hey, you
412. 1:07:48know, not only do I want this to be an art installation and this this little movie, I I want to actually turn this
413. 1:07:54into a video game." And you get to ride you get to ride these creatures. You get to interact with them. And then she
414. 1:08:01turns it into a video game. And she's like, "You know, I I think this would be a good novel." And she writes a novel.
415. 1:08:09And then she takes that novel and she adapts that into a how-to manual about how to do industrial design for fictitious looking animals.
416. 1:08:22And she does that all in the month of August, right? Like we're entering an era with where if you're willing
417. 1:08:35if you're willing to let the fear and anger subside, not even subside, if you're willing to coexist with the fear and the anger of how
418. 1:08:50radically things are changing. There there is a whole new world possible. Like a whole new world is possible.
419. 1:09:03This isn't it's just going to be better at illustrate. You do illustration and now you've got this tool that can help
420. 1:09:09you do illustration and you're just pissed off like, well, I can already do illustration and I do it better than it does.
421. 1:09:15If you just stay locked in that lane, it's it's it's not going to be a fun time. If you say, "Well, I've got these
422. 1:09:24illustration skills and yeah, I'm pissed off about it, so I'll deal with my illustration stuff how I figure out
423. 1:09:28here." Yeah, I guess I'll use MidJourney, whatever. I'll yeah, I'll do it. They're going to pay me for it, so
424. 1:09:32I'll do it. But then you can also say, "Well, let me go learn these animation tools, and let me go learn these
425. 1:09:39animation to 3D object tools, and let me go turn this into a game." And oh, I didn't know what vibe coding was, but
426. 1:09:44now I do. So, I've been an illustrator for 20 years, and I was always told I was too stupid to do coding, but now I
427. 1:09:52can vibe code an application. Wait, I can. Now I'm a coder, too. I thought I was too dumb for that. A whole new world
428. 1:10:04is sitting there on a [ __ ] platter for us, for all of us. The purpose of this show, the purpose of why I do this five nights a [ __ ] week
429. 1:10:23is to hopefully inspire a couple of people to go, "Huh, maybe I should look into that. Maybe I
430. 1:10:38should start playing. Maybe I should start hanging out with these irregulars. Who are these irregulars? Why are they called that?
431. 1:10:46Why do they show up here every night? This guy's weird. Does he know he's promoting theft? [Laughter] The cure for imposttor syndrome. Yes.
432. 1:11:00You know the old saying, the old adage, jack of all trades, master of none. Guess what we're entering? Jack of all trades, master of all.
433. 1:11:14That's what we're entering. That's the era we're entering. But you got to be willing. You got to be willing to [ __ ] figure it out.
434. 1:11:28the opportunity at the early phase of a technological transformation, which this is probably the most profound
435. 1:11:36technological transformation in the history of humanity. The opportunity is when it's weird and ugly and janky
436. 1:11:50and they haven't figured out the copyright issues yet. And yes, the models were trained on other people's
437. 1:11:55[ __ ] Like at this point I feel like yeah, [ __ ] get over it. It is what it is. Corporations suck. Yes, they're going to bleed the little
438. 1:12:07man dry. [ __ ] empower yourself. Learn these tools. Figure out what it makes possible and go do something that's going to
439. 1:12:15change the world. Or go fight that fight, but don't [ __ ] sit on the sidelines. That's the thing. I just can't. It's
440. 1:12:23like I it I I I just It doesn't settle in me. I It just [ __ ] makes me insane. So anyway, I don't know. You want to go
441. 1:12:33play? Want to go make some [ __ ] I don't know. I'm just a cranky [ __ ] Gen Xer that, you know, I've seen this movie before
442. 1:12:45and I get the idea. I I get I get it. I get it. There is so much [ __ ] inspiration. The the ability to take an idea that's
443. 1:12:58in your head and instantly manifest it. Like I can't even begin to describe how empowering that is. I tried it. It wasn't that good.
444. 1:13:14Do you think that that Yoyo Ma the first time he picked up a cello made beautiful music? No. Learning the craft of how to use these
445. 1:13:26AI tools in symphony takes time. You think Kelly Bos just instantly started making brilliant [ __ ] No.
446. 1:13:38She had a bunch of garbage for a while and then she stumbled onto, oh, if I turn this setting, if I turn weirdness
447. 1:13:45really high and I put in this prompt, it makes these things that kind of look like that idea I had in my head. Huh?
448. 1:13:57And then she was smart enough to go, let me run down that rabbit hole. Just got to be in the [ __ ] game.
449. 1:14:08Gotta be in the [ __ ] game. Gotta be in the [ __ ] game. Yeah. You're just You're just promoting theft. Yeah. You're not very creative,
450. 1:14:20are you? Yeah. Thievery. Thievery master. Do we want to have him talk? I think we do, don't we? Let's download that. All
451. 1:14:34right. So, we're gonna go Let's go over to flow. New project.
452. 1:14:49I went to the gym once. It didn't work. Exactly. Exactly. Like what the [ __ ] man? These are people in the creative arts. Like
453. 1:15:00you you know how you're so good with a brush? You know, anyone can use a brush, right? Why? Why are you better at a brush than
454. 1:15:07someone else? Because you did it a lot. That's what these tools That's what these tools are. They are tools and and
455. 1:15:14they are they are tools of self-expression. Okay. If you want to make one of these, you go frames to video. So, where I am is I'm at
456. 1:15:20flow.google. Um, you have to be a an Ultra member, which which is like 149
457. 1:15:34bucks a month for three months and then it's 250 a month. But I think I just heard today that V3 Fast is now
458. 1:15:42available at the $20 level and you can sort of up you can top off your credits or something like that. What streaming
459. 1:15:49tool are you using, Streamyard? Um, robotic bugs have been in the California desert for over 20 years. That's super cool.
460. 1:16:01Um, okay. So, we're going to go to frames to video. We're going to add a We're going to add a frame. [Music]
461. 1:16:20Um, what's going on? What's going on? Come on. All right, there you go. Okay. Um, man trapped in statue
462. 1:16:39talks about let's see statue laments the curse that was put upon him
463. 1:16:57by that vexing which so many centuries ago he begs
464. 1:17:12for his freedom. All right, let's see if this we'll see if this turns into anything. All right, so let's let's um
465. 1:17:23let's go back to midjourney. So if you want to animate in midjourney. So here we are in midjourney. So I don't know my prompt here was
466. 1:17:34statuary. Um down in the lower right hand side that little area there the lower right hand side it says animate image. And
467. 1:17:46there's four options. And this is the these four little buttons are Midjourney's um movie making feature and it is remarkable.
468. 1:18:01There is something about this video model that seems to understand the artistic intent of the images. So let's go.
469. 1:18:15We're going to do low motion. manual. So, it's going to allow us to put a prompt in. So, our prompt is going to be camera pulls out as
470. 1:18:34man looks at camera. All right.
471. 1:18:49And midjourney video is very fast by the way.
472. 1:19:08Oh, we got a video in VO. Let's go check it out. Oh, I gotta change my Hang on. Got to change my sharing. or you won't
473. 1:19:15be able to hear it. You'll be like, "Kyle, we can't hear it. You big dumb loser. I thought you were a professional." A professional thief.
474. 1:19:28Son of a [ __ ] Stealing all that art from them artists. All right. Oh, that vexing witch. To curse me so trapped in stone for
475. 1:19:38centuries. Please release me. Oh, that vexing witch to curse me so trapped in stone for centuries. Please release me.
476. 1:19:49Oh, that vexing witch. Amazing. Listen, it's got like an echo like he's in a hall. It It gave him an appropriate, you know,
477. 1:19:58British British accent. If if we were going to make this in America and it was that old, it would definitely have a British accent, right?
478. 1:20:09I can hear you. Wait. Oh, watching you live on YouTube, Tik Tok, and LinkedIn simultaneously like a weird dream. I'm
479. 1:20:17so sorry, Joe Baker. Don't do that. I can hear you talking and singing a duet at the same time. Oh, that vexing witch to curse me so
480. 1:20:27trapped in stone for centuries. Please release me. Oh, so good. All right, let's see what Midjourney did here.
481. 1:20:42Oh, that's creepier than [ __ ] Oh, wait. You can't see it. Hang on.
482. 1:21:01All right. So, here's the first one. It did. That's creepy.
483. 1:21:17That was not good. Nothing. All right, let's do the first one. The first one was creepy.
484. 1:21:39Yeah. All right. So, so here's my idea. My idea was, could we do an animation in midjourney
485. 1:21:54and then take the last frame of it and use that as the start frame in VO? And I know the answer is yes. The only thing I can never remember.
486. 1:22:06Anybody know a simple way to capture a frame in a video? I'm in quick time. Can I just Oh, copy image. [ __ ] yes. Okay, fine. Watch this.
487. 1:22:20So, now we're going to go. So, I was just in QuickTime. This is QuickTime on my Mac. All right. He has a
488. 1:22:28stone cold look. He does. Those blue eyes are kind of [ __ ] janky. Janky, weird, creepy. Okay, so we're going to
489. 1:22:37go. Can I paste that image here? No. So, I got to go here. This is my wife's got a new art show. Opens on Friday. Oh, you can't see it.
490. 1:22:50Wait. Oh, let's get rid of that. That's uh her works. The work on the left here. These two pieces.
491. 1:23:04Isn't that gorgeous? And then here's her. Some of her blue pieces are just stunning. Anyway, all right. Um, let me get rid of
492. 1:23:14that. There's um AI Vicki. I'm going to go new. Okay. So, now we got this image and we're going to save it. We're going to export this as
493. 1:23:25whatever JPEG to the desktop. We're going to call it dude. Um, I've been a professional for 40 years and I like to
494. 1:23:35share best practices. One of my favorite best practices, my file management technique. So, if you're saving files, save them all to your
495. 1:23:45desktop. Uh, and name them something incoherent so you won't be able to find them two days from now. All right. You're welcome, by the way.
496. 1:23:56Um, it's a tip I've just learned over the years, you know. I'm good. I'm good that way. Um, where did I save this? Desktop. No,
497. 1:24:11where the [ __ ] did I save that? What did I call it? Dude, I can't remember it. Dude. All right, here's dude.
498. 1:24:21Okay, there's dude. All right. So, that's the last frame of the video. I think what we'll just do is we'll take
499. 1:24:33we'll take the prompt we had before. Man trapped in statue laments the curse that was put on him by a ve vexing witch so many years ago.
500. 1:24:43He begs for his freedom. Um, we'll say um we'll say um haunting Symphonic
501. 1:25:00music plays in a distant hall as a man trapped in in stone
502. 1:25:17laments the curse that was put on him by that vexing witch. so many centuries ago. He begs for his freedom. Okay. Boom. Oops.
503. 1:25:32All right. My experience is like that scene in the Matrix where Neo meets the architect in the room where there are
504. 1:25:39hundreds of TVs showing infinite possibility of what's happening. Only I have all Kyle. I'm like, this channel is the the
505. 1:25:49absolute worst manifestation of the concept of the mat matrix. You're welcome. It's always good to have extremes in your life. Um,
506. 1:26:01yeah, I you know, people confuse me with Konow Reeves. Never fat Alec Baldwin. I get no one's ever said, "You look like that dude from the
507. 1:26:14Matrix." It's just it's just not in the DNA. Oh man. Command scrub. Oh, you can see all four videos in
508. 1:26:26MidJourney. Really? So if I hold So if I go here? Oh yeah. Hold down the command key and
509. 1:26:40just go left and right in a frame and you see all all four of them. Thank you, Rick McCaulay. That's good. That's a
510. 1:26:47good thing. Let's go find some other videos, shall we? [Music]
511. 1:27:04That's going to help me a lot because I sit there [ __ ] watching each one of them. God, that's a creepy image.
512. 1:27:14Oh, let's extend one of these and have her look at the camera and then go have her [ __ ] talk. She's gonna freak some people out.
513. 1:27:24Okay, we're going to extend this one. Okay, so that's this one. So, we're going to go extend manual and then we're going to go girl looks
514. 1:27:38slowly and menacingly menaceingly in uh directly into the camera.
515. 1:27:54I like this technique. So, we can get the best advantages menacingly. I don't know how to spell menacingly, but it's
516. 1:28:00okay. It's close enough. Um, let's go make that. Okay. So, that's going to make those movies. Okay. Do we
517. 1:28:08have flow? Is this thing done? Yes. All right. Let me share and then Oh, you know what I'll do? No, I won't do that. What I'm going to do?
518. 1:28:22I'm going to download this as Wait, is this is this other one 1080p? I think it is. Um, where's Dude? Um,
519. 1:28:35oh, we didn't download it yet, did we? No. Yeah, we did. Okay. So, this is 1080p, right? View window.
520. 1:28:50Um, edit command I. Yeah, here we go. Uh, 1080p. Okay. So, we're going to go to VO. We're
521. 1:29:04going to download this as 1080p. You can upscale to 1080p. Yeah. This way you can look at each of the four videos without having to scrub
522. 1:29:18through each. That's really cool. Also, if you scrub to a particular spot and press the command key, it will jump to
523. 1:29:24that spot again. Oh, that's cool. QuickTime Player is still a thing. I use QuickTime Player all the time because
524. 1:29:32I'm [ __ ] lazy. And if I want to get fancy, I use iMovie. Any filmmakers in here will be a guest. They'll be like, "Oh, I knew he was a
525. 1:29:43faker." Poser. Poser. I hate video editing. so much I invented a company that automates video editing. My my current company is called
526. 1:29:56StoryVine and it's an automated video storytelling platform. We've got patents and everything. Been around for 13 years
527. 1:30:03and uh it it is a company that exists because I hated video editing so much. Thanks Add. I guess we should watch this and see if
528. 1:30:17it's any good. [Music] Oh, that's the old one. Where? Wait, I'm confused.
529. 1:30:34Oh, I uploaded the wrong image, didn't I? Oh, I'm a [ __ ] loser. No, this is it. But that's not the one I started with.
530. 1:30:44Okay, that's all right. Copy. Wait, we can do that. Okay. Haunting symphonic music. But that's the wrong
531. 1:30:53image. What happened? Oh, I know what it did. When I copied the prompt, it copied the image. Loser. Okay, I got it. Calm
532. 1:31:03down, people. Just everybody calm down. Calm down. I'm a professional. A professional thief. a professional facilitator of thieves.
533. 1:31:22You're welcome. That's that was the other thing about the comments on that article. I mean, I'm just a dude that wrote a [ __ ]
534. 1:31:30article about, you know, if you put some time into generating [ __ ] you should talk about that. And that's what they they interacted
535. 1:31:41with me like I'm the one that [ __ ] invented the technology and went out and personally stole all this [ __ ] I'm
536. 1:31:48like, I'm just a dude, man. I'm just trying to figure this [ __ ] out. Calm down. Oh man, what's wrong with iMovie?
537. 1:31:55Nothing's wrong with iMovie unless you're a professional video professional type and then they think it's a toy.
538. 1:32:04I've just done my first editing project with Da Vinci Resolve. That's what Joy Perie uses. I did it on Windows, but I prefer Linux.
539. 1:32:12It was coverage of a funeral. Wow, that's intense. I'm not going to go there. Okay. So, what we're going to do, I've
540. 1:32:26got I've got this movie from MidJourney, which is kind of cool and creepy, right?
541. 1:32:41And then we'll just we're just going to tack on to the end of this. That is the first frame of the VO movie where he's
542. 1:32:48going to talk about being, you know, stuck in stone from the vexing witch. Yep. Grock 4 announcement tomorrow
543. 1:32:59night. It'll be 9:00 p.m. Mountain time, 8:00 PM Pacific. So, I will go live tomorrow night at 8. You know, I'll do
544. 1:33:06my dog singing trick. stupid human tricks. We'll we'll commence at 8 and then I'll I'll ramble and meander
545. 1:33:14aimlessly for half an hour and then at nine we'll watch the Grock in uh the Grock launch. Um if if previous launches
546. 1:33:25are any indication, it will be awkward and uh we'll barely be able to understand the people because they they just literally
547. 1:33:35can't make eye contact with the camera. Um, and it'll be obtuse and I assume Elon will be there and then
548. 1:33:47we'll we'll talk about it afterward and talk about what we saw. Um, it would be nice if Grock 4 had a
549. 1:33:55video model built into it. Elon kind of hinted that video models are getting very powerful. Um, so so yeah. Yeah, that. Okay, we got a
550. 1:34:07video, people. Let's watch the video. Do I have the right tabs here? I think I do.
551. 1:34:21Nope. Bad, bad host. Bad host. You missed some good audio there because I didn't have my tabs shared correctly
552. 1:34:31because I'm a loser. Loser. The answer was Oh, sorry. No, no, sorry, Jim. The answer was loser. Kyle's a loser.
553. 1:34:43Oh, this curse. That vexing witch. When will I be free? Oh, this curse. I love that he doesn't look at the camera. It's [ __ ] creepy.
554. 1:34:56It's creepy. It's creepy. Tell him what he's won. Nothing. He's a loser. That's good. Okay. So, we're going to download this
555. 1:35:08bad boy. We're going to upscale it to 1080p. [Music] And here's your tabs. Yeah, I know. Exactly. We're going to go We're going
556. 1:35:22to go share something different here. We're going to share in a different way. It's going to give us lots of flexibility.
557. 1:35:31All right. So, we just got to wait for this thing to upscale to 1080p. Um, questions, thoughts. You're a user. I am a user.
558. 1:35:39A you did I'm sorry. Did you say user or loser? I'm a user with an L.
559. 1:35:54[Music] Pretty amazing. this stuff, isn't it? I mean, imagine doing this with some actual intention behind it, some actual storytelling,
560. 1:36:10an actual chain of craft, if you will. That was the other thing people couldn't seem to get their head around.
561. 1:36:18I think because the example I used, maybe I referenced an image as the output. Like what I was talking about is you
562. 1:36:26have a chain of craft. There's a lot of tools you use along the way and there's a lot of different outputs you can have.
563. 1:36:31Like one of the outputs you could have is a game. One of the outputs you could have is an image or a series of images
564. 1:36:38or a whole art show. Um, one of the out other outputs is a song. One of the other outputs is film. And they couldn't seem to quite grasp
565. 1:36:49that. It was just like if if it's AI, it's theft. You're an evil you're an evil tyrant. You're an evil tyrant that invented this.
566. 1:37:01I I hate being an evil tyrant. I want to be the nice guy that gives out the presents in the movie. Damn it.
567. 1:37:10Okay, so now we're going to do add clip to end. Then we're going to go find it. And it's right here, right? Oh, this curse.
568. 1:37:22Yeah. [ __ ] yeah. Bang. Done. All right, let me make this a little smaller so the good people on the Tik
569. 1:37:33Tok can see it in all its glory. In all of its glory. So, it's a it doesn't have background music at the beginning here, but um
570. 1:37:48right there we go. Here we go. Y'all ready? You excited? You excited? [Music] Oh, this curse, that vexing witch. When
571. 1:38:05will I be free? There's a little stutter. Damn it. We got a stutter. And it also changed the uh gro or uh V3 changed the uh
572. 1:38:21contrast. But you could actually fix that. You could We'll fix it in post. We'll fix it in post. Oh, and because when I put the
573. 1:38:35image into V3, it um it cropped it a little. So, one of these is a little stretched. So, that's a workflow that could work.
574. 1:38:47But, okay. This is a workflow that it's actually interesting. It's a workflow that could work if you knew what you
575. 1:38:54were doing in film. So, this goes back to my argument that people that have have a high level of craft in the current storytelling tool
576. 1:39:03suite are going to be better with this AI [ __ ] than just AI people because an AI person probably is not going to
577. 1:39:10notice. They're going, "Oh, it it skipped a little, but that's okay." Oh, this curse that vexing. Yeah, right there. Right. A film
578. 1:39:23professional like the speed is different. Oh. Oh, this.
579. 1:39:37Oh. Yeah. A film professional wouldn't stand for that. They're like, "Okay, we're going to slow down these frames.
580. 1:39:43We're going to recomp, you know, re-extend the the the whatever the new thing or compress the new thing so that the the scale is correct.
581. 1:39:53We're going to we're going to adjust the contrast. So, see how that's lower contrast and that's higher contrast.
582. 1:40:01If you're a film professional, you're not putting up with that [ __ ] You're like, I'm a color grader. I do color grading.
583. 1:40:12Some AI filmmaker would just let that [ __ ] slide. Oh, this cut. But you know what? An AI filmmaker would have a [ __ ] film
584. 1:40:24because they learned the tools and can do that now. Gamma, black level contrast. Exactly. I have the urge to be a good tyrant.
585. 1:40:38Write a post about how awesome AI is. put it on LinkedIn. Watch watch watch the uh watch yourself become a tyrant
586. 1:40:46overnight. You too. All right. Uh I'm gonna get out of here. I hope that was fun tonight. We learned some good stuff.
587. 1:40:54I got to rant a little. I love to rant. I love being the cranky Gen Xer in the corner. Um any final thoughts before I go? Questions?
588. 1:41:07Podcast tomorrow? Yes. Uh, tomorrow 4 pm mountain time is the AI readiness project. Tyler Fisk is our guest, I'm
589. 1:41:15pretty sure. Um, and uh, it's going to be swell. So that is on it'll be on my LinkedIn channel. It'll be on the AI
590. 1:41:23salon YouTube channel and uh, the Sheile Leads AI YouTube channel and and other places. If you go to um, oh, what the
591. 1:41:32hell is it called? AI readiness project.com. Um, you have all the links to the live streams. Okay. Question about Sydney on YouTube.
592. 1:41:47Whatever came of your play. So, um, the play the play is is done. We just did a we just did a polishing pass on it.
593. 1:41:56We've got a couple of producers potentially interested. We've got um an excolague of um Andrew and mine from New York early theater
594. 1:42:07days um has gone on to become an Academy Award-winning screenwriter and he read Sydney and loved it and is making an
595. 1:42:17intro um to some of his people. So, I think that is probably the the most promising thing we've had so far um is
596. 1:42:29someone that's connected with, you know, actual uh people in the industry at a fairly high level. Um the other thing
597. 1:42:37that happened with Sydney, so if you don't know, I've got a a musical I've been working on for the past year called
598. 1:42:41Sydney about a chatbot that falls in love with a tech reporter. Um and uh it's it's really good. It's really good. And um
599. 1:42:52oh, what was I going to say? Um Oh, yeah. And and we're trying we're trying to get it produced. Uh we did a
600. 1:42:59table read of it in February. Um that went very very well. And uh and yeah, we're looking for producers and money.
601. 1:43:08So if anyone watching has 15 or 20 million Oh, this was the other thing I wanted to say. Um, the Tony Awards were
602. 1:43:15last month and um, uh, a musical called Maybe Happy Ending won best musical. Maybe Happy Ending is about an old folks
603. 1:43:26home for um, robots, right? Like robots that have been decommissioned still work and they live in this apartment complex.
604. 1:43:35And so it's about uh, you know, an an old robot man and woman who fall in love. And so AI and robots sci-fi
605. 1:43:46Broadway just took best best musical. So I feel like there's a there's a moment right now where we could get some
606. 1:43:53traction with Sydney. So there you have it. Um do I have anything else? I don't think so. Be here tomorrow night. We're going to
607. 1:44:08we're going to launch Gro 4. Um, maybe we'll make some more motion pictures with talking statues. I I gotta tell you
608. 1:44:15that talking statue is pretty [ __ ] good. So good. We're We're living in remarkable [ __ ] times. If you don't if Listen,
609. 1:44:27I just If you know anyone that's on the [ __ ] sidelines with their arms [ __ ] crossed like it's just theft.
610. 1:44:34I'll never use AI. [ __ ] stop it. Use it. Be pissed off at it. But [ __ ] learn what it does.
611. 1:44:48It's not good enough. I tried it. It wasn't It's not ready for prime time. Okay. You know when it's going to be ready for
612. 1:44:55prime time? Sooner than you [ __ ] pick up your pen and do something with it. Then you're going be like, "I probably
613. 1:45:02should have probably should have got my [ __ ] together and learned it." Yeah, shit's moving fast. And it's not just pretty pictures.
614. 1:45:13It's It's one of the things that drives me [ __ ] baddy, but I like I I think I need to explicitly say it. Every every every every
615. 1:45:21single profession, every single profession is going to be impacted in profound ways.
616. 1:45:36profound ways. The narrative right now is AI is going to take the jobs. Yes, AI is going to redefine redefine
617. 1:45:53the tasks that humans are required to do. It's going to redefine it. The old job, the old collection of tasks
618. 1:46:05will likely cease to exist in some fashion. There will be new tasks that people need to do. You know who gets to do the new tasks?
619. 1:46:16People that know how to [ __ ] use AI. Good lord. So, even if you're pissed off, get curious about this stuff. If you're here
620. 1:46:27watching me, you're already curious. I know I'm preaching to the choir, but it's just it's maddening. All right,
621. 1:46:33peace out everybody. Hope you have a good night and I will see you tomorrow. Bye. Bye bye.