AI model distillation from competitor outputs constitutes intellectual property theft

Legal and ethical questions around training AI systems on copyrighted creative work.

Anthropic's October 2026 measures against distillation attacks, which are covert, large-scale efforts to copy a model's capabilities, usually through networks of fraudulent accounts.

Compressing a large teacher model into a smaller student via soft target training.