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I mean a lot of it comes down to: "Give me a poster for my band playing a gig" Versus "Give me a poster for my band playing a gig, it should have x y and z.
by fennecfoxy 16d ago
I mean a lot of it comes down to:
"Give me a poster for my band playing a gig"
Versus
"Give me a poster for my band playing a gig, it should have x y and z. Use a x' artistic style and include elements of y'. The layout should be z'..."
You ask for the default, you get the default.
- GuB-42 16d agoThe thing is, at some point, it takes so much work telling the AI exactly what to do that you are better off doing the damn thing yourself. AI can help with the execution, and for an amateur, this is important. But for real pros, the ones who actually know the appropriate style and what the layout should be, they usually have the execution nailed down. Prompting will likely drag them down, if they use AI, it is more likely to be in the form of "augmenter" tools: upscaling, content-aware fill, etc... Again, same idea with code. Programming languages are only an issue for inexperienced coders, for those who really know what they are doing, it is usually second nature, and they may be better served writing the code themselves than trying to get a LLM to do it. Again, AI has its use: completion, analysis, etc... That's also the reason why I believe that so many people are missing the point with generative AI taking jobs. Because they are not in the field, they only see the execution, image editing software, DAWs and programming languages look arcane, they think it is what takes the most skills, and that if you can get over it using AI, you can do just as well. The truth is that it is not the case, not by a long shot, execution is just the first step. It is a problem for juniors however. Juniors are at the first step, they have the execution but not much more, they need to grow real skills, but how will they grow these skills if no one want them because they are at the level where AI can do most of their job.
- al_borland 15d agoMany people go to professionals because they don't know what those x, y, and z are. They don't have the experience, the vision, the taste, or the language to convey what they want. They need someone else with those things to do it for them. Proficiency with the tools (pencil, brush, instrument, etc) is only half the equation. The other half is what to do make and what to express. Most non-artists are bad at both. Others are proficient with the tools, but have no vision, so they help produce other people's visions. AI might be able to help someone with vision who lacks proficiency with the tools, but I suspect that's a small minority of people.