Morning Edition · Sunday, June 21, 2026Published at 6:59 AM EDT · New York
A look inside the lab's evaluation and infrastructure practices comes as the field acknowledges that testing, not training, increasingly determines what can be deployed.

Meta has published an account of how it builds and tests advanced AI at scale, describing the infrastructure and evaluation practices behind its model releases. On its own, a lab process post is minor. Read against the rest of this edition,…
Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.
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Part of a tracked trend
Oversight and Evaluation Lag Accelerating AI Capabilities
Over the next 3-6 months, evidence mounts that governance, evaluation, and agent-safety methods are failing to keep pace with capability growth, driving investment in interpretability, agent-manipulation benchmarks, and institutional-reform proposals.
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