• Episode AI notes
  1. Incorporating code in film editing involves trial and error, training the system, and adjusting editing techniques and material.
  2. The key to innovation in coding for the movie involved a collaborative effort between the speaker and Brendan, a genius at code and an artist with a passion for data-driven visualizations.
  3. Balancing the use of advanced tools like AI-generated video with the human touch in storytelling is crucial for effective and meaningful content creation.
  4. The evolution of content creation is shifting towards AI integration, potentially reducing costs but raising concerns about the impact on human creativity and storytelling. Time 0:00:00

  • Incorporating Code in Film Editing Summary: Film editing involves trial and error, training the system, and adjusting editing techniques and material. The software operates seamlessly like a magic trick, making decisions within milliseconds. The film showcases the code by visualizing the system scrubbing through video frames, making decisions, and incorporating bursts of footage as part of the visual language of the movie.

    Speaker 1
    And again, if for whatever reason it works, I mean, there were early early outputs that that did not work, but through, you know, trial and error and and and training the system and and Also adjusting the way that we edit the scenes and even the type of material that we put in. So you put all this stuff together and really doesn’t matter what order or what things you get or don’t get. I think it’s all it’s all interesting. And then the software also has some presence. I mean, we thought that, you know, it’s just like a kind of like it’s like a magic trick or something. Like, if you don’t know that something is happening that’s different, you know, you just wouldn’t even notice it. And I think that that we definitely kind of let the code kind of come through in the film when there are decisions being made, you know, you’ll kind of see the system scrubbing through Yeah, scrubbing through foul names, looking at deciding making that decision. I mean, really, it’s made that decision in the 1000th of a second, you know, at the beginning of the process. But we still let it kind of visualize that or scrubbing through, you know, frames of video and like these bursts of footage that kind of come through in different areas. So there is a a visual it’s part of the visual language of the movie a little bit is this is the code.
  • Innovation through Collaborative Coding and Artistic Inspiration Summary: The key to their innovation in coding lies in a collaborative effort between the speaker and Brendan, who is described as a genius at code and an artist with a passion for data-driven visualizations. Brendan’s approach to coding involves incorporating poetry and a love for films and artists like Eno. They aimed to create something true to Brian’s essence by adapting an organic structure, similar to Brian’s working style. Additionally, they drew inspiration from Brian’s oblique strategies cards, which offer creative prompts for overcoming challenges and integrating those ideas into their programming.

    Speaker 1
    Yeah, Brendan is really the the the mind behind a lot of that. I’m the guy who’s like, yeah, good, that’s cool. Could we make it do this maybe? And then Brendan’s like, yeah, you know, he’s from Liverpool. So he talks like this, he’s like, we could do that. And he goes off and then we kind of like work, you know, keep keep playing around with the thing. It’s it’s like, Brendan is is just a genius at code. But he’s also just like a I mean, he’s he’s an artist, he’s not just a core coder. He’s like his whole thing is like data, you know, using data to make visualizations or physical or or digital, you know, art. And and also that it’s just you need to have a kind of poetry and encode. So that’s how we approach this. I mean, he’s just a film lover as I am. And and also just a fan of of of Eno. So I think, you know, we approached it with you know, trying to kind of make something that was true to what Brian was about. And like a structure that was like organic to the way Brian worked. That was really what what drove us on the on the coding. And also it was like, you know, you know, Brian has these oblique strategies cards, which are these like creative prompts, like if you’re stuck in, I don’t know, like you could pull a Card and it’s like, you know, try it in reverse or whatever. But we did use some of those ideas, both in the in the programming, because well, you’ll you’ll
  • Balancing Technology and Human Element in Storytelling Summary: Balancing the use of advanced tools like AI-generated video with the human touch in storytelling is crucial. Despite the development of innovative technologies, the essence of storytelling still lies in the ability to connect emotionally and create meaningful content. It’s important to constantly assess the effectiveness of tools and techniques, making adjustments to ensure the final output resonates with the audience on a deeper level.

    Speaker 1
    Yeah, I think for this at this stage and in kind of, you know, experimenting with these kind of structures, there has to be like a back and forth. Okay. Because we’ll we’ll we’ll say, oh, kind of, maybe each scene doesn’t need a little bit of a bumper on on the end, a little bit of like a landing pad. You don’t want to start something with someone talking right away, because you know, you’re thinking about how the puzzle pieces are going to fit together. And then kind of, um, watching watching outputs, watching outputs, watching outputs. This is working. What can we do? How can we change that? You know, is it a programming thing or is it an editing thing? Um, I think that, you know, as we’ve seen, there’s some incredible, uh, you know, tools coming out. And, um, with with, uh, AI generated video and all these other things, but you still need to be able to tell a story like I can make a technical tool. You know, I mean, the the the team that made Sora, it’s incredible. It’s like amazing, like amazing step, but they’re kind of really even kind of not sure how the the artists are going to use it. They’re going to kind of put it out there. And then people will figure out what the tool is is is for. So, um, you still need that, whatever the tool is, you still need that. Um, you know, the idea is and the storytelling and and and to be able to kind of like make something that really connects and has a soul. So, um, it is cool as the the, I think that the the tech is it is also really about the the human part of it too. There’s got to be that that that balance. Yeah, for sure.
  • Evolution of Content Creation and AI Integration Summary: The cost of content creation for platforms like Netflix has shifted from streaming to acquiring/producing content. In the future, the cost of content creation may become marginal as it is generated instantly. However, this shift towards AI optimization raises concerns about reducing human creativity and storytelling. Platforms are incentivized to prioritize cost reduction through leveraging AI.

    Speaker 2
    Yeah, I definitely agree with that. I mean, if you think of, um, what we were talking about earlier, when we talked about the business model of Netflix early on and then compared to now, there is a cost to the content, right? There’s a cost that, that, that they incur when they, um, I guess it used to be when they would stream a piece of content, but now it’s when they acquire or produce a piece of content. And I think per your point, there’s probably a world in which that cost goes away and the creation of each additional piece of content is completely marginal when it’s generated on the Fly. Um, but the flip side of that, you know, almost sounds a little, a little scary, right? And it sort of contrasts with what we talked about earlier, how the human, uh, is the person that sort of, or, you know, is the thing that’s driving the story and the creativity. And, in, in this world, we talk about, it almost sounds like the human would be removed from that. And the platform would just be leveraging AI as much as possible to optimize, uh, the model and the cost. I mean, is, is that a, is that a potential sort of bad outcome here or, you know, I’m thinking about the platforms and their incentives, you know?
    Speaker 1
    Oh, yeah. And there is incentives are definitely about, um, you know, cost reduction.