OpenAI's Astra trades interpretability for efficiency with recurrent depth technique

OpenAI is adopting architectural choices that optimize for performance and cost at the expense of transparency. Regulators, enterprise buyers, and safety researchers increasingly demand explainability as a condition for deployment, yet the economic incentives inside leading labs still favor opaque efficiency gains over observable reasoning. The gap between what the market rewards and what oversight requires is widening.