This episode examines Corvex’s March twelfth launch of Secure Model Weights, an inference security architecture that enforces GPU level decryption inside trusted execution environments using NVIDIA Confidential Computing, Intel TDX, and post quantum key encapsulation. We cover frontier model releases including OpenAI’s GPT five point four with one million token context and extreme reasoning mode, Microsoft’s Phi four reasoning vision fifteen B multimodal system, and Allen Institute’s Olmo Hybrid architecture that achieves forty nine percent token efficiency improvement through transformer and linear recurrent layer integration. The briefing analyzes OpenClaw’s unrestricted system access deployment and the constrained alternatives ZeroClaw and NanoClaw that enforce memory safety and containerized isolation. We close with first quarter competitive dynamics, including MiniMax M two point five cost compression, Meta’s Avocado postponement, and the two hundred sixty seven model releases that set a new deployment velocity record across reasoning, multimodal, and agentic categories.