5 ms·
mostly agree, with one nuance. Probabilistic systems do make sense at the edges — perception, ranking, recommendation, search, fuzzy matching. The problem star
by Traumen 8mo ago
mostly agree, with one nuance.
Probabilistic systems do make sense at the edges — perception, ranking, recommendation, search, fuzzy matching. The problem starts when we let probabilistic outputs cross into domains that used to have hard contracts: policy enforcement, state transitions, or irreversible actions.
What feels new isn’t probabilistic programming itself, but treating probabilistic inference as if it were a deterministic control layer. Once probability collapses into authority, you lose debuggability and guarantees.
So the failure mode isn’t “probabilistic vs deterministic” per se, but where the probabilistic boundary is drawn — and whether it’s explicit.
- jruohonen 8mo ago> Probabilistic systems do make sense at the edges Sure, and that's why I used the wording most application domains. > So the failure mode isn’t "probabilistic vs deterministic" per se, but where the probabilistic boundary is drawn -- and whether it’s explicit. If you take a look at https://arxiv.org/pdf/2512.22418 it is difficult to draw any boundaries because a dice is rolled at so many stages. Unpredictability is acknowledged but unreliable probabilistic verification is done; requirements and specifications are prompted on the fly in response to unpredictable outputs; debugging is psychologically stochastic too and deterministic tools are used for trying to control stochastic outputs; and so forth and so on.