LLMs Steal Creators' Work Without Consent

An industry commentator argues that contemporary large language models (LLMs) have been trained by scraping internet content, published works, and code without creators' permission, effectively amounting to theft. The essay says legal defenses like fair use or legitimate interest fail at scale because enforcement and laws lag behind rapid data harvesting. It concludes creators will likely remain uncompensated and must adapt or cope pragmatically.