James Cameron has reportedly revealed an anti-AI title card will open up Avatar 3, officially titled Avatar: Fire and Ash. The Oscar-winning director shared the news in a Q&A session in New Zealand attended by Twitter user Josh Harding.
Sharing a picture of Cameron at the event, they wrote: “Such an incredible talk. Also, James Cameron revealed that Avatar: Fire and Ash will begin with a title card after the 20th Century and Lightstorm logos that ‘no generative A.I. was used in the making of this movie’.”
Cameron has been vocal in the past abo6ut his feelings on artificial intelligence, speaking to CTV news in 2023 about AI-written scripts. “I just don’t personally believe that a disembodied mind that’s just regurgitating what other embodied minds have said – about the life that they’ve had, about love, about lying, about fear, about mortality – and just put it all together into a word salad and then regurgitate it,” he told the publication. “I don’t believe that’s ever going to have something that’s going to move an audience. You have to be human to write that. I don’t know anyone that’s even thinking about having AI write a screenplay.”
I agree that humans are just flesh computers, but I don’t know whether we can say LLMs have overcome human creativity because I think the definition is open to interpretation.
Is the intentionality capable only with metacognition a requirement for something to be art? If no, then we and AI and spiders making webs are all doing the same “creativity” regardless of our abilities to consider ourselves and our actions.
If yes, then is the AI (or the spider) capable of metacognition? I know of no means to answer that except that ChatGPT can be observed engaging in what appears to be metacognition. And that leaves me with the additional question: What is the difference between pretending to think something and actually thinking it?
In terms of specifically “overcoming” creativity, I don’t think that kind of value judgement has any real meaning. How do you determine whether artist A or B is more creative? Is it more errors in reproduction leading to more original compositions?
As I suggested above, I would say creating a coherent idea or link between ideas that was not learned. I guess it could be possible to create an algorithm to estimate if the link was not already present in the learning corpus of an ML model.
I’m not sure how humans go about creating ideas, and therefore cannot be sure that the resulting ideas aren’t a combination of learned things. There have been people in history who did things like guess that everything is made up of tiny particles long before we could ever test the idea, but probably they got the idea from observing various forms of matter, right? Like seeing how rocks can crumble into sand and grain can be ground to flour. I don’t think they would have been able to come up with the idea in a vacuum. I think anything we’re capable of creating must be based on things which we’ve already learned about, but I don’t know that I can prove that.