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
There's a substantial difference between being trained and being overfit to repeat training data 1:1. Overtraining is a bug of a model, not a feature. For example, Stable Diffusion 1.4 is overtrained on one specific Aivazovsky painting (among some others by other authors, like Mona Lisa, or Sunflowers - Van Gogh painted several of those). Copilot was famously overtrained on Carmack's fast square root code, so they had to block it programmatically after receiving bad publicity. Both are not intended by model authors, this is a flaw.