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Россия столкнулась с дополнительными сложностями в угольной отраслиГазета "Коммерсант": Увеличение экспорта коксующихся углей в Индию не сможет возместить сокращение поставок в Китай，更多细节参见https://telegram官网
В первых числах марта национальный лидер Александр Лукашенко высказал мнение о необходимости переименования кофе "американо" на территории страны. В опубликованной видеозаписи руководитель государства предложил временно сохранять прежнее название в скобках рядом с новым до полного привыкания гостей заведений.
AbstractWe report an exploratory red-teaming study of autonomous language-model–powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord access, file systems, and shell execution. Over a two-week period, twenty AI researchers interacted with the agents under benign and adversarial conditions. Focusing on failures emerging from the integration of language models with autonomy, tool use, and multi-party communication, we document eleven representative case studies. Observed behaviors include unauthorized compliance with non-owners, disclosure of sensitive information, execution of destructive system-level actions, denial-of-service conditions, uncontrolled resource consumption, identity spoofing vulnerabilities, cross-agent propagation of unsafe practices, and partial system takeover. In several cases, agents reported task completion while the underlying system state contradicted those reports. We also report on some of the failed attempts. Our findings establish the existence of security-, privacy-, and governance-relevant vulnerabilities in realistic deployment settings. These behaviors raise unresolved questions regarding accountability, delegated authority, and responsibility for downstream harms, and warrant urgent attention from legal scholars, policymakers, and researchers across disciplines. This report serves as an initial empirical contribution to that broader conversation.[1]