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Stanford Researchers Introduce TRACE: A Capability-Targeted Agentic Training System That Turns Recurrent — 2026-07-13

## Short Segments Prime Intellect unveils Verifiers v1, a new architecture for agentic RL training and evaluations. Today, we're diving into Prime Intellect's latest release, Verifiers v1, which introduces a modular approach to reinforcement learning environments. By decomposing tasksets, harnesses, and runtimes, Verifiers v1 allows for more flexible and scalable agentic workloads. This new architecture separates the data, agent logic, and infrastructure, enabling any taskset to run under any compatible harness. The central piece, an interception server, manages communication between the…

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