Quoting Jeremy Howard on Anthropic's Recursive AI Self-Improvement Contradiction

Original: Quoting Jeremy Howard

Jeremy Howard argues Anthropic's safety rhetoric contradicts its internal use of top models for frontier research.

Jeremy Howard proposes that labs claiming to slow recursive AI self-improvement should ban themselves from using their top model for frontier research while letting others access it. He argues Anthropic does the opposite — using its best model internally while reportedly blocking others from doing the same — accelerating the frontier and worsening power imbalance. Howard personally favors democratization over slowdown, but his point is about consistency: if you preach restraint, constrain yourself first.

Summaries are AI-generated; the original article is authoritative.