Can Jev Be a Better Agent Evaluator?
We tested using Jev-as-a-Judge against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach to agent evaluation. Context & related coverage →
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Top signals · Sep 21, 2026 · Updated Sep 21, 19:03 UTC
Jev is now available in LangSmith Evals
Use Jev as a judge for LangSmith evals to evaluate agent traces with faster, cheaper structured feedback across production runs, datasets, and regression tests. Context & related coverage →
Podcast: Securing AI Agents: Identity, Authorization, and the DPACT Framework
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and... Context & related coverage →
Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
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 ex... Context & related coverage →
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
Building standards for the next phase of AI
OpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety. Context & related coverage →
The current balance of power in open models
The expanded form of a testimony I prepared for Congress. Context & related coverage →
NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories
Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that... Context & related coverage →
Expanding OpenAI Academy with new learning paths
Explore new OpenAI Academy learning paths for employees, developers, leaders, educators, and students to build and demonstrate practical AI skills. Context & related coverage →
Advisory Group on Mathematics and Artificial Intelligence
OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results. Context & related coverage →
PD Serving of Qwen3.8-2.4T
How vLLM reaches 5K throughput and 180 interactivity on Qwen3.8-2.4T with GB300 NVL72 PD serving and how to reproduce results yourself. Context & related coverage →
How V7 gives AI agents institutional memory
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work. Context & related coverage →
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