#llm-policy

HN read Zig's anti-AI contribution rule as a maintainer-time policy: review is for growing trusted humans, and LLM-shaped PRs break that loop.

A March 18 Reddit thread on r/MachineLearning debated whether ICML 2026 went too far by desk-rejecting submissions tied to reviewers who violated Policy A. ICML's official materials confirm the two-policy system, the sanction language, and a watermark-based detection process that was manually reviewed rather than based on generic AI-text detectors.

A 184-point r/MachineLearning thread discussed reported ICML enforcement against no-LLM review violations, with commenters focusing on canary-based detection and coauthor risk.

A high-engagement r/MachineLearning thread (score 390, 52 comments) raised concerns that hidden prompt-like PDF text could conflict with ICML’s no-LLM review policy and create process confusion.