Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

EU Commission: “AI Gigafactories” to strengthen Europe as a business location

Foundation AI: Cisco launches AI model for integration in security applications

Study: AI-Powered Research Prowess Now Outstrips Human Experts, Raising Bioweapon Risks

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » James Cameron Says Gen AI Can Reduce Cost of VFX on Films by Half
Stability AI

James Cameron Says Gen AI Can Reduce Cost of VFX on Films by Half

Advanced AI BotBy Advanced AI BotMay 10, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


James Cameron, the Oscar-winning director of films like Avatar, Terminator and Titanic, appears cautiously optimistic about the role generative AI can play in filmmaking, though even if he is wary of the “in the style of” prompts that have proliferated after images in the style of Studio Ghibli flooded the internet over the past few weeks.

“I think we should discourage the text prompt that says, ‘in the style of James Cameron,’ or ‘in the style of Zack Snyder,’” Cameron said on a podcast Wednesday, adding that “makes me a little bit queasy.”

And yet, Cameron acknowledges that the ability to create content that mimics great talents is undeniably interesting, and mirrors what he himself does in his own head.

“I aspire to be in the style of Ridley Scott, in the style of Stanley Kubrick. That’s my text prompt that runs in my head as a filmmaker,” Cameron said. “In the style of George Miller: wide lens, low, hauling ass, coming up into a tight close up. Yeah, I want to do that. I know my influences. Everybody knows their influences.”

Cameron was a guest on Boz to the Future, the podcast hosted by Andrew Bosworth, the CTO of the technology giant Meta. The latest episode, which dropped Wednesday, featured an extensive conversation about generative AI, with Cameron sounding optimistic about its use in special effects, and uncertain whether studios, tech giants and legislators should focus on regulating the inputs to the AI models, or the outputs.

Cameron, of course, joined the board of AI firm Stability AI last year. Stability is the company behind the Stable Diffusion image model.

“In the old days, I would have founded a company to figure it out. I’ve learned maybe that’s not the best way to do it. So I thought, ‘All right, I’ll join the board of a good, competitive company that’s got a good track record,’” Cameron said of the decision. “My goal was not necessarily to make a shit pile of money. The goal was to understand the space, to understand what’s on the minds of the developers. What are they targeting? What’s their development cycle? How much resources you have to throw at it to create a new model that does a purpose-built thing, and my goal was to try to integrate it into a VFX workflow.

“And it’s not just hypothetical, if we want to continue to see the kinds of movies that I’ve always loved and that I like to make and that I will go to see — call it Dune, Dune Two, something like that, or one of my films, or big effects-heavy, CG-heavy films — we’ve got to figure out how to cut the cost of that in half,” he continued. “Now that’s not about laying off half the staff and at the effects company. That’s about doubling their speed to completion on a given shot, so your cadence is faster and your throughput cycle is faster, and artists get to move on and do other cool things and then other cool things, right? That’s my sort of vision for that.”

When it comes to the controversial question of “training” AI models, Cameron seemed to suggest that regulators and lawyers should be more focused on the output of AI programs and tech, rather than the inputs and training data.

“A lot of the a lot of the hesitation in Hollywood and entertainment in general, are issues of the source material for the training data, and who deserves what, and copyright protection and all that sort of thing. I think people are looking at it all wrong,” Cameron told Bosworth. “I’m an artist. Anybody that’s an artist, anybody that’s a human being, is a model. You’re a model already, you’ve got a three and a half pound meat computer.

“We’re models moving through space and time and reacting based on our training data,” he continued. “So my point is, as a screenwriter, as a filmmaker, if I exactly copy Star Wars, I’ll get sued. Actually, I won’t even get that far. Everybody’ll say, ‘Hey, it’s too much like Star Wars, we’re going to get sued now.’ I won’t even get the money. And as a screenwriter, you have a kind of built-in ethical filter that says, ‘I know my sources, I know what I liked, I know what I’m emulating.’ I also know that I have to move it far enough away that it’s my own independent creation. So I think the whole thing needs to be managed from a legal perspective, as to what’s the output, not what’s the input. You can’t control my input, you can’t tell me what to view and what to see and where to go. My input is whatever I choose it to be, and whatever has accumulated throughout my life. My output, every script I write, should be judged on whether it’s too close, too plagiaristic, whatever.”

Instead, Cameron outlines a vision where more focused AI products help filmmakers create their visions more fully, arguing that AI giants like OpenAI and, yes, even Meta, are not really competing for Hollywood’s business.

“You look at OpenAI, their goal is not to make gen AI movies. I mean, we’re a little wart on their butt, I mean in terms of the scale you’re talking about, they want to make consumer products for 8 billion people,” Cameron said. “And I’m sure Meta is very much the same … movies are just a little, tiny application, a tiny use case. That’s the problem. So it’s going to be smaller, sort of boutique-type gen AI developer groups that I can get the attention of and say, ‘Hey, I’ve got a problem here. It’s called rotoscope.’”

Cameron is currently working on the next Avatar film, Avatar: Fire and Ash, which will be released in December, and reportedly will include a title card noting that no gen AI was used in creating the film.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleMistral AI Models Fail Key Safety Tests, Report Finds
Next Article Paper page – Vision-Language-Action Models: Concepts, Progress, Applications and Challenges
Advanced AI Bot
  • Website

Related Posts

AI-generated images are a legal mess – and still a very human process

May 11, 2025

AI-generated images are a legal mess – and still a very human process

May 10, 2025

AI-generated images are a legal mess – and still a very human process

May 10, 2025
Leave A Reply Cancel Reply

Latest Posts

Printmaking At Cleveland’s Karamu House Highlighted In Exhibition

TEFAF New York Illuminates Art Week With Mastery Of Vivid, Radiant Color

Koyo Kouoh, Curator of 2026 Venice Biennale and Leading African Art Figure, Dies at 57

2026 Venice Biennale Curator Dies at 57

Latest Posts

EU Commission: “AI Gigafactories” to strengthen Europe as a business location

May 11, 2025

Foundation AI: Cisco launches AI model for integration in security applications

May 11, 2025

Study: AI-Powered Research Prowess Now Outstrips Human Experts, Raising Bioweapon Risks

May 11, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.