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[Перевод] Claude против краевых случаев: как LLM-агент нашёл баги в NumPy и других Python-библиотеках

Исследователи Anthropic собрали LLM-агента, который читает код Python-библиотек, сам формулирует свойства, пишет property-based тесты на Hypothesis и …

property-based testingтестирование на основе свойствClaudeLLM-агентыhypothesisавтоматизация тестированияпоиск баговpython-библиотекиNumPy
Habr Jun 10, 2026, 09:00 UTC
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Two AI-based science assistants succeed with drug-retargeting tasks

Both tools generate hypotheses; one goes on to analyze some of the data.

AIScienceComputer scienceFutureHousegooglehypothesishypothesis testinglarge language modelsscience
Ars Technica May 19, 2026, 18:55 UTC

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