| Your "steelman" is embarrassingly bad. Why play devil's advocate if you're going to do such a bad job of it? Here's an alternative: - As a form of fair use, models learn styles of art or writing the same way humans do - by seeing lots of examples. It is possible to create outputs that are very similar to existing works, just as a human painter could copy a famous painting. The issue there lies in the output, not the human/model. - Provide comfortable office jobs for people in economically underdeveloped countries, categorizing data to minimize harm for content moderators worldwide. One piece of training data for a model to filter harmful content can prevent hundreds/thousands of people from being exposed to similar harmful content in the future. - Reduces or eliminates unpleasant low-skill jobs in call centers, data entry, etc. - Creates new creative opportunities in music, video games, writing, and multimedia art by lowering the barriers to entry for creative works. For example, an indie video game developer on a shoestring budget could create their own assets, voice actors, etc. - Reduces carbon emissions by replacing hours of human labor with seconds of load on a GPU. |
“a lot” is doing very heavy lifting here. The amount of examples a human artist needs to learn something is negligible in comparison to the humongous amounts of data sucked up by AI training.