Multiple things can be true at the same time: 1. Closed, frontier models are generally smarter than local models[*]. 2. Local models are extremely capable and more than enough for many applications. 3. You can fine-tune open models and run them very fast, for very little money, and outperform even the best frontier models from Big AI labs on many problems. (*) I've seen people interpret the term "local" in different ways. In this context, I assume "local" refers to open models you can host…