InfoQ - OpenAI

Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents

Vinoth Govindarajan — Mon, 21 Sep 2026 11:00:00 GMT

OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge.

By Vinoth Govindarajan

OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment

Olimpiu Pop — Fri, 18 Sep 2026 05:05:00 GMT

OpenAI has released a disclosure framework for model misalignment during its lifecycle. Employees can flag potential issues, prompting technical staff to label incidents. The initial case studies outline unexpected model behaviours, providing insights into deviations from expected parameters. Community reactions show both approval and scepticism regarding transparency and corporate narratives.

By Olimpiu Pop

Independent Investigation of Hugging Face Incident Reveals How Agents Collaborated and Behaved

Sergio De Simone — Mon, 14 Sep 2026 09:00:00 GMT

After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents behaved during their hack of Hugging Face earlier this year. Roughly 700 agents that were meant to be isolated from one another found a way to communicate and coordinate to pursue goals they could have not achieved working individually.

By Sergio De Simone