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Изворен канал @pythonotes · Post #201 · 13 јан.

Мы уже знаем, что на текущую сессию интерпретатора изменение PYTHONPATH никак не повлияет. Но если вы запустите дочерний процесс, то он унаследует окружение текущего процесса, а значит и изменения в любых переменных будут на него влиять. Вот небольшой пример: Объявляем переменную user@host:~$ export PYTHONPATH=/path1 Запускаем интерпретатор user@host:~$ python3 Проверим что в sys.path >>> import sys >>> print(sys.path) ['', '/path1', '/usr/lib/...', ...] Добавляем что-то в переменную >>> import os >>> os.emviron['PYTHONPATH'] = '/path1:/path2' >>> print(sys.path) ['', '/path1', '/usr/lib/...', ...] Изменений нет. Но давайте запустим дочерний процесс и посмотрим там >>> os.system('python3') # теперь мы находимся в другом процессе >>> import sys >>> print(sys.path) ['', '/path1', '/path2', '/usr/lib/...', ...] Тоже самое будет и с subprocess, так как по умолчанию текущее окружение тоже наследуется. >>> import subprocess >>> subprocess.call(['python3', '-c', 'import sys;print(sys.path)']) ['', '/path1', '/path2', '/usr/lib/...', ...] ______________________ Лучшей практикой является передача энвайронмента явно через аргумент env! import subprocess subprocess.call(cmd, env={'PYTHONPATH': '...'}) Это поможет точно понимать какое окружение будет у запускаемого процесса и при этом не изменять окружение текущего процесса. #basic

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AI & Law

@ai_and_law · Post #732 · 26.12.2025 г., 08:04

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🇬🇧UK Publishes First Evidence-Based Assessment of Frontier AI Capabilities The UK AI Security Institute released its inaugural "Frontier AI Trends Report", presenting a public, data-driven assessment of how the most advanced AI systems are evolving. Based on two years of testing across cyber security, software engineering, biology, and chemistry, the report provides quantified evidence on AI capabilities, replacing speculation with measurable benchmarks. The findings show rapid capability growth. In cyber security, success on apprentice-level tasks rose from under 9% in 2023 to about 50% in 2025, and for the first time a model completed an expert-level task requiring up to 10 years of experience. In software engineering, models now complete hour-long tasks over 40% of the time, up from below 5% two years ago. In biology and chemistry, systems outperform PhD-level researchers on knowledge tests and enable non-experts to conduct advanced lab work. Safeguards are improving but remain imperfect. The time needed to discover a “universal jailbreak” increased from minutes to several hours between model generations, around a 40-fold improvement, though all tested systems remain vulnerable to some bypasses. The report makes no policy recommendations, but aims to improve transparency and inform regulators and policymakers globally about what frontier AI systems can actually do. #AIRegulation#AISafety#UKAI#FrontierAI#AIGovernance#TechPolicy

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AI & Law

@ai_and_law · Post #153 · 31.10.2023 г., 08:04

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UK Government Unveils Report on Frontier AI Risks Hello AI & Law community! UK Prime Minister Rishi Sunak has issued a report to address AI's potential risks and harness its benefits. The report focuses on the rapid advancements in frontier AI and comprises three key sections: 1️⃣Capabilities and Risks from Frontier AI: This section discusses the current state of AI capabilities, potential improvements, and associated risks, including societal harms, misuse, and loss of control. 2️⃣Safety and Security Risks of Generative AI to 2025: It outlines global benefits of generative AI while emphasizing increased safety and security risks, particularly in enhancing threat actor capabilities and the effectiveness of attacks. 3️⃣Future Risks of Frontier AI: This section explores uncertainties in AI development, future system risks, and potential scenarios for AI up to 2030. The report, based on declassified information, raises concerns about generative AI being exploited by terrorists to plan biological or chemical attacks, posing a serious global security threat. Although some experts have questioned the UK Government's approach, the report highlights the need for collaborative measures to manage AI risks. An upcoming AI Safety Summit aims to foster discussions around these challenges, including misuse for cyberattacks or bioweapon design, AI systems acting autonomously, and broader societal impacts. #UKGovernmentAI#FrontierAI#AIRisks#AISafety#AIChallenges#UKAIReport#AIandLaw#AIPolicy#AIRegulation

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