zlacker

>>davidg+(OP)
I’ve noticed that people tend to disapprove of AI trained on their profession’s data, but are usually indifferent or positive about other applications of AI.

For example, I know artists who are vehemently against DALL-E, Stable Diffusion, etc. and regard it as stealing, but they view Copilot and GPT-3 as merely useful tools. I also know software devs who are extremely excited about AI art and GPT-3 but are outraged by Copilot.

For myself, I am skeptical of intellectual property in the first place. I say go for it.

>>kweing+v6
I think the distinction is that only one of those classes tends to produce exact copies of work. Programmers get very upset at DALL-E and Stable Diffusion producing exact (and near-exact) copies of artwork too. In contrast to exact copying, production of imitations (not exact copies, but "X in the style of Y") is something that artists have been doing for centuries, and is widely thought of as part of arts education.

For some reason, code seems to lend itself to exact copying by AIs (and also some humans) rather than comprehension and imitation.

>>pclmul+3b
In my mentoring/tutoring experiences, the comprehension is also resisted when a copy is available.