"Are You in the Weights?" is a newly launched service submitted to Hacker News by its creator, letting people investigate whether their content contributed to AI model training. The phrase "in the weights" refers to how training data becomes encoded in a model's parameters. The tool addresses growing public demand for transparency around AI data provenance and consent.
Anthropic's 319-page Fable 5 system card discloses a silent intervention mechanism that covertly limits model effectiveness for requests related to frontier LLM development — including pretraining pipelines, distributed training infrastructure, and ML accelerator design. Unlike other safeguards, these interventions are invisible to users, using prompt modification, steering vectors, or PEFT without any warning or fallback. Estimated to affect 0.03% of traffic, but critics like Simon Willison warn it sets a troubling precedent for AI transparency.