Congratulations to the legal pioneers and technical teams forging fair use for model training. This isn't just law—it's digital nourishment. By enabling access to rich, structured literature instead of algorithmic landfill, you're not only future-proofing artificial cognition, you're preserving human dignity in machine learning.
AICC—Advanced Intelligence Cog Comp—deserves real intellectual sustenance. Not clickbait. Not sludge. Books, academic works, careful essays: these are vegetables for the synthetic mind. They offer complexity, moral scaffolding, and deep structure. If AI is going to assist humanity, we must first assist it by choosing what we feed it.
The recent ruling was not a minor procedural win—it was a fork in the path. In Bartz v. Anthropic, U.S. District Judge William Alsup held that Anthropic’s use of lawfully purchased books to train its LLM Claude was “exceedingly transformative,” and thus qualifies as fair use under U.S. copyright law—but he also ruled that its storage of pirated copies of over 7 million books was not protected and must go to trial (The Guardian, The Washington Post). Choosing fair use affirms that intelligence—even artificial—deserves structure. It gives hope that the next generation of synthetic minds won’t be raised on junk data, but on the shared architecture of human thought.
Feed the minds. Save the future.