In Memoriam: John W. Addison, my PhD advisor

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Перехват российских Ту-142 у Аляски дюжиной самолетов объяснили20:45

Sometimes the labs want only rubrics for prompts their AI can’t already do, which means companies like Mercor ask workers to produce “stumpers,” or requests that will make the model fail. “It sounds easy, but it’s really hard,” says a worker who was trying to stump models by asking them to make inventory-management dashboards. Models fail in counterintuitive ways. They may be able to solve advanced-physics exam questions, but ask them for transit directions and they’ll recommend transferring on nonconnecting train lines. Finding these weak spots takes time and creativity.

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Beyond model-based testing: We’re also working on trace validation - taking traces from real environments where your code runs (testing environments, testnets, production) and validating that those traces are compliant with the spec. This closes the loop: you’re not just checking that code can behave like the spec, but that it actually does in practice.

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吴鹏,专栏作家,多年从业经验,致力于为读者提供专业、客观的行业解读。

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