Model Size Is Not a Strategy: Architecture, Scaling Laws, and the Cost Curve
Parameter counts make convenient headlines, but they do not describe a foundation model’s training data, serving latency, or fit for a product. The useful engineering question is how architecture, scale, and inference economics affect a specific workflow.