Tag: Frontier Models

Open weights vs frontier APIs vs self-hosting: a decision matrix built on request volume, data sensitivity, eval maturity and compliance.

All frontier labs have converged on distillation as their primary post-training method. The real innovation is no longer in pre-training but in post-training pipeline design. Here is why distillation will define competitive advantage in the next AI cycle.

Inference cost architecture: how smart model routing between frontier and distilled models creates real margin at scale. Unit economics, production examples, and the infrastructure decisions that determine profitability.