Raw LLM Responses

„We adapt! ” And in this case, we adapt by calling for regulations, because anything else is either useless, or just slowing things down. „A counter "PRO" to this of course is that the original artist has years of published works proving their skill and competency. People who know that artist recognize their work. And anyone using AI art to generate art in that artist's style needs the technical skill to be able to "fix" the art in the same style.” 1. So. What about new artists then? 2. You know that the mistakes these programs make are only something temporary, right? While we cannot say when the developers are going to fix the issues, saying that the mistake the AI does will always remain is absurd. „a) you can use this to your advantage and help yourself get faster commissions by taking advantage of the speed of AI art as a base concept. You can also sell your services to "fix" issues with AI art (like weird ass mushroom fingers and hair that's coming out of someone's eyeballs)” And devalue your work to nothing. And why will people pay for this, when they can pay directly to the AI art programs, or download stable diffusion? „b) or you can use critical thinking skills to understand that people still PAY FOR QUALITY. Some people can only afford the $4 trash bags from the Dollar Store, and there is no shame in that. But they learn really quickly that if they spend $10 on the sturdier trash bags.. yea it's more expensive... but their trash bags dont rip when they have to take out the trash.” And this is something most humans dont have the time to develop the necessary skills to do, unless they are either already artists, or have the time to make money off comissions. „5) The bots learn from humans. Look at paintings throughout history. You can visibly see a style of drawing from different eras in time. Humans did that. A bot will never be able to learn a new drawing technique. These bots can help people learn new techniques faster and humans will be the ones to push the envelope. ” 1. These bots copy the results, not the techniques. 2. You know that there are numerous computer scientists who dont consider what these programs do similar to how humans learn, right? 3. These programs are not humans. Stop treating them like humans.