It hardly even matters if they prefer it. Corporations can simply refuse to invest in human creatives to the point that human-created media is almost impossible to find. Plenty of people theoretically prefer artisanal clothing and handcrafted furniture, but you generally won't find such things for sale in most parts of the country. There is probably not a single handmade product for sale within a ten mile radius where I live. Furthermore, even assuming such goods are available, they usually cost far more than mass-produced equivalents, making them unable to compete. Few people will pay $100 for something they can buy for only $10 just to support another human.Linguoboy wrote: ↑Thu Sep 28, 2023 12:18 pmWhat it doesn't prove, however, is that consumers would actually prefer AI-written media. The studio execs think it would be passable enough that it's worth gambling on and alienating their creatives in the process, but these same studio execs have a pretty dismal record when it comes to demonstrating any understanding of the appeal of human creativity. They can--and do--make bad decisions with the goal of maximising profits all the time.
Given all the box office bombs of the past year, I rather suspect Hollywood executives are drawing the conclusion that human creatives are not earning their pay. If nothing else, AI could hardly do worse than the human-made films that keep crashing and burning and it would cost far less. For that matter, AI has the wonderful advantage of never making controversial political statements or committing sexual offenses that get it canceled. Hollywood executives will never have to worry about chatGPT sexually assaulting an actress and miring a film in controversy.
So you would argue that software engineering is fundamentally much harder and more complicated than art or literature, such that automating it the same way is simply not feasible?Travis B. wrote: ↑Thu Sep 28, 2023 12:00 pm There is much more to computer programming than simply being able to spit out code. There is design and architecture. There is documentation. There is integration. There is testing, verification, and validation. There is responding to bug reports and comments from the user. And all of these tie in closely to one another. This applies to both in the professional world and outside it (even I have to respond to comments from others in my own work, as I have actual users at this point). Even if AI's in the future generate better code than they do today, they won't be able to do all this.