160,000 actors have walked off the job, completely shutting down Hollywood.The actors union, SAG-AFTRA, is striking side by side with the writers union, WGA....
To answer your question about quality: it matters because it’s not real. The act of producing something of quality is what makes us better people. It ties into motivation to be better. Computers automating repetition doesn’t hinder that (as much, it does affect learning curves). The notion that computers be used for an output that would normally require creativity is just throwing away the essense of creation, the end product is not the only thing that benefits us. There’s no objective to why it was created, an AI writing something that evokes emotion is a party trick. All it really does is promote consumption and demoralize innovation, and ironically it hides behind innovation as the end-goal of the project. It’s just dead. One of the most beautiful things within creating something of value is the very process of creating it, having the passion and desire to do so, and the will to bring it into existence. AI is a cursed attempt at trying to replicate this process, and by lifting that kind of burden from a human inhuman.
I agree with you when it comes to AI in its current form - I wouldn’t even call it a party trick, just dumb luck. Machine learning through repetition will use existing ideas and tropes.
However you can provide the model with unique ideas, new tropes, characters, environments, and settings. The model in its current form could generate something nearly usable (script wise) and still be a valid piece of art with some cleaning up. Just because you save time doesn’t make an idea less “good”
In the future we could have near sentient AI that generates actual pieces of art far faster and better than a person can.
There’s no objective to why it was created, an AI writing something that evokes emotion is a party trick.
Then it’s not valuable. The question still stands: if something is truly valuable, does it matter how it was created? You are not answering this question, you are simply pointing out why AI in your opinion cannot produce art. My question is a bit “tongue in cheek”, of course. It cannot be truly answered without a specific example of creation. I’m asking it to prove a point: we’re dismissing something we don’t understand.
All it really does is promote consumption and demoralize innovation
I’d argue that this is what Hollywood already does. And as you rightly argued through your comment, it brings little artistic or creative value.
To me, it’s the same feeling as the teachers that wouldn’t accept papers written on a computer (after an age where we know how to write) because “it’s less honest”.
I’m not good at drawing. I would love to try to make a game. Anti-AI luddites are happy that I will never produce something because I am incabable of doing something that an AI could easily accomplish.
i refuse to believe AI can replace totally of the human part in the industry. Yeah some of the weak actors will be pushed out as they are not doing the job good enough, but it’s inevitable that one day technology is advanced that AI can actually replace human workforce. Like car manufacturing industry that have massive machines to assemble car parts, but also there are things only human can do. We don’t need crappy scriptwriters writing rubbish soap opera that my 10 year old daughter can write because they are no more generic than a AI churn out script. It’s like hiring a typewriter operator in 2023. Or rubbish actors that are like reading their script out with minimal effort and skills. It does not make sense.
There’s this people called stenographers who are paid quite well, they can write hundreds of words per minute and essentially transcribe a conversation in real time. They are hired by courts to create records of the sessions, by journalists, parliaments and to transcribe subtitles for audiovisual media. They use this cool typewriter like machine called a stenotype that was invented in 1880. The thing is, they tried to replace them with speech recognition computers. They discovered they needed a human to sanitize input for the computer, essentially a person who can speak really fast and really mechanically, repeating what others said in the room, or what was said in the movie or whatever, into an oxygen-mask-like sound proof microphone. So, they still had to pay someone to be there. Many places decided they could just pay the stenographer and receive higher quality products despite the slightly higher costs. Then YouTube tried to use machine learning to auto-create closed captions. Before that they used a community contribution approach that depended on volunteers to take some time to transcribe the subs. That change to automation was such a fiasco that some big YouTube channels now advertise that they pay an actual company with humans to do the closed captions for their videos in the name of proper quality accessibility. Because automated closed caption tends to do interesting stuff and it’s even worse when they try to throw auto-translation into the mix.
The point is, people tend to not understand technology and how it relates to humans, specially techbros and techies who have the most skewed biases towards tech and little sociological understanding. Nothing can be accurately predicted in that realm, and most relations that result from the appearance of new technology are usually paradoxical to common sense.
To answer your question about quality: it matters because it’s not real. The act of producing something of quality is what makes us better people. It ties into motivation to be better. Computers automating repetition doesn’t hinder that (as much, it does affect learning curves). The notion that computers be used for an output that would normally require creativity is just throwing away the essense of creation, the end product is not the only thing that benefits us. There’s no objective to why it was created, an AI writing something that evokes emotion is a party trick. All it really does is promote consumption and demoralize innovation, and ironically it hides behind innovation as the end-goal of the project. It’s just dead. One of the most beautiful things within creating something of value is the very process of creating it, having the passion and desire to do so, and the will to bring it into existence. AI is a cursed attempt at trying to replicate this process, and by lifting that kind of burden from a human inhuman.
I agree with you when it comes to AI in its current form - I wouldn’t even call it a party trick, just dumb luck. Machine learning through repetition will use existing ideas and tropes.
However you can provide the model with unique ideas, new tropes, characters, environments, and settings. The model in its current form could generate something nearly usable (script wise) and still be a valid piece of art with some cleaning up. Just because you save time doesn’t make an idea less “good”
In the future we could have near sentient AI that generates actual pieces of art far faster and better than a person can.
Then it’s not valuable. The question still stands: if something is truly valuable, does it matter how it was created? You are not answering this question, you are simply pointing out why AI in your opinion cannot produce art. My question is a bit “tongue in cheek”, of course. It cannot be truly answered without a specific example of creation. I’m asking it to prove a point: we’re dismissing something we don’t understand.
I’d argue that this is what Hollywood already does. And as you rightly argued through your comment, it brings little artistic or creative value.
To me, it’s the same feeling as the teachers that wouldn’t accept papers written on a computer (after an age where we know how to write) because “it’s less honest”.
I’m not good at drawing. I would love to try to make a game. Anti-AI luddites are happy that I will never produce something because I am incabable of doing something that an AI could easily accomplish.
i refuse to believe AI can replace totally of the human part in the industry. Yeah some of the weak actors will be pushed out as they are not doing the job good enough, but it’s inevitable that one day technology is advanced that AI can actually replace human workforce. Like car manufacturing industry that have massive machines to assemble car parts, but also there are things only human can do. We don’t need crappy scriptwriters writing rubbish soap opera that my 10 year old daughter can write because they are no more generic than a AI churn out script. It’s like hiring a typewriter operator in 2023. Or rubbish actors that are like reading their script out with minimal effort and skills. It does not make sense.
There’s this people called stenographers who are paid quite well, they can write hundreds of words per minute and essentially transcribe a conversation in real time. They are hired by courts to create records of the sessions, by journalists, parliaments and to transcribe subtitles for audiovisual media. They use this cool typewriter like machine called a stenotype that was invented in 1880. The thing is, they tried to replace them with speech recognition computers. They discovered they needed a human to sanitize input for the computer, essentially a person who can speak really fast and really mechanically, repeating what others said in the room, or what was said in the movie or whatever, into an oxygen-mask-like sound proof microphone. So, they still had to pay someone to be there. Many places decided they could just pay the stenographer and receive higher quality products despite the slightly higher costs. Then YouTube tried to use machine learning to auto-create closed captions. Before that they used a community contribution approach that depended on volunteers to take some time to transcribe the subs. That change to automation was such a fiasco that some big YouTube channels now advertise that they pay an actual company with humans to do the closed captions for their videos in the name of proper quality accessibility. Because automated closed caption tends to do interesting stuff and it’s even worse when they try to throw auto-translation into the mix.
The point is, people tend to not understand technology and how it relates to humans, specially techbros and techies who have the most skewed biases towards tech and little sociological understanding. Nothing can be accurately predicted in that realm, and most relations that result from the appearance of new technology are usually paradoxical to common sense.
Here is an alternative Piped link(s): https://piped.video/watch?v=1C7leljxnG4
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source, check me out at GitHub.
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