A developer maintaining trainproof, a deterministic linter for ML training runs, withdrew the strongest evidence behind the tool's validation gallery after two independent forensic audits found the ci…
A developer's controlled fault-injection study shows that corrupted training data, such as shuffled labels or white noise, can reduce loss by 62% without any visible spikes, making it indistinguishabl…
An engineer at Bedvibe Studio, writing under the alias Mormolykos, has released a new open-source library called trainproof after repeatedly shipping the same validation bug in different forms. The to…
Trainproof v0.18.0, a deterministic linter for machine learning training runs, catches training failures such as a cross-entropy ignore_index collision that silently deletes a target from the loss whi…