Government AI oversight, enterprise agents, and open-source robotics.

The Center for AI Standards and Innovation (CAISI) at NIST announced new agreements enabling government evaluation of AI models before public availability, alongside post-deployment assessment and targeted research. The agreements with Google DeepMind, Microsoft, and xAI formalize a process CAISI has already completed more than 40 times, including evaluations of unreleased frontier models.

Pre-deployment assessment framework

OpenAI announced Frontier, an enterprise platform for building, deploying, and managing AI agents. The platform provides shared context, onboarding, permissions, and governance capabilities designed for organizational deployment without requiring infrastructure replacement.

Real-world performance metrics

MolmoAct2, developed by the Allen Institute for AI and the University of Washington, is a fully open-source action reasoning model designed for real-world robot deployment. It achieves up to 87.1% success on real-world DROID tasks with unseen objects and a 2.42x speedup in control rate compared to unoptimized inference.

Open-source embodied AI