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TLDRocket
2 October 2026
Today’s biggest AI thread is about how enterprises can actually close the gap between an agent’s promises and what it can do in the real mess of company systems. ServiceNow’s CoreAI team introduced AutoSynthData, a pipeline that turns observed environment failures into executable training tasks. The system, built around an “EnterpriseOps Gym” loop, generates task candidates and then validates them by pitting a weaker target model against a stronger teacher: it favors target-model solves on at most 1 of 3 trials, while requiring the teacher to succeed on at least 2 of 3. As performance rises, the curriculum slides toward what the model still can’t handle, reshaping the dataset through iterative evaluation and feedback.
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