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Изворен канал @pythonotes · Post #270 · 9 јул.

От многопоточных вычислений переходим к распределённым. То есть вычисления, происходящие на нескольких компьютерах. Конечно, в зависимости от задачи, вы можете взять готовые решения вроде CGRU или Deadline для рендеринга, charm4py или Dask для ML, или замутить что-то на AWS С2. Но хотелось бы чего-то попроще, попитоничней что ли) А ведь в Python есть средства "из коробки" для синхронизации нескольких процессов на разных хостах. Вот простой пример кода, который синхронизирует работу двух процессов на разных компьютерах. В этом случае используется процесс-посредник, который является синхронизирующим сервером. В примере создаётся некий Manager, который шарит общую для клиентов очередь. Все подключившиеся могут что-то в неё писать или забирать. В моём коде один процесс что-то "считает" и складывает в очередь, другой забирает и продолжает какие-то свои "расчёты". Если у вас есть несколько машин, то можете попробовать это запустить по сети (нужно заменить 'localhost' на IP-адрес сервера). Но и на локальной машине сработает. Gist 🌎 #libs#source#tricks

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AI & Law

@ai_and_law · Post #768 · 19.02.2026 г., 08:04

🇺🇸U.S. Department of Labor Launches Federal AI Literacy Framework The U.S. Department of Labor has introduced the United States’ first federal-level AI literacy framework, a voluntary initiative aimed at guiding AI literacy programs across government, the public workforce, and education systems. The framework defines AI literacy as a foundational set of competencies enabling responsible use and evaluation of AI technologies, with a primary focus on generative AI as a core workplace tool. It is intended as a baseline understanding rather than specialized training for AI developers. Designed for broad application, the framework encourages tailored programs for different roles and contexts. It outlines benefits for workers (independent skill-building and adaptation to AI-enabled environments), employers (responsible deployment and workforce transition), and education providers (curriculum design and competency assessment). Although nonbinding, it is expected to influence private-sector training initiatives in the U.S. and abroad. The document emphasizes that AI literacy requirements will evolve with technological change, labor market developments, and implementation feedback. #AIRegulation#AILiteracy#GenerativeAI#PublicPolicy

AI & Law

@ai_and_law · Post #819 · 04.05.2026 г., 07:04

🇿🇦South Africa Withdraws AI Policy Over Hallucinated Sources South Africa has withdrawn its draft national AI policy after discovering that at least 6 of its 67 academic citations were AI-generated and referred to non-existent journal articles. Communications Minister Solly Malatsi stated that the most plausible explanation is the inclusion of unverified AI-generated references, calling the lapse a failure that “compromised the integrity and credibility” of the policy. The draft policy had proposed establishing a national AI commission, an AI ethics board, and a regulatory authority, alongside incentives such as tax breaks and grants to support AI infrastructure. The issue was identified after News24 found fabricated citations, later confirmed by journal editors. The policy will be revised before being reissued, and the minister indicated there would be consequences for those responsible. The case highlights risks of using generative AI in policy drafting without verification. A Nature study cited in the report found that over 2.5% of academic papers in 2025 contained at least one potentially hallucinated reference, up from 0.3% in 2024, amounting to more than 110,000 papers. #AIRegulation#AIethics#Hallucinations#PublicPolicy#AIGovernance

AI & Law

@ai_and_law · Post #809 · 20.04.2026 г., 07:04

🇿🇦South Africa Publishes Draft National AI Policy South Africa’s Minister of Communications and Digital Technologies, Solly Malatsi, released a draft national AI policy for a 60-day public consultation. The proposal outlines the creation of several institutions, including a National AI Commission, an AI Ethics Board, an AI Regulatory Authority, and a National AI Safety Institute to coordinate governance and oversight. The draft introduces safety requirements for AI systems, including mandatory human rights and gender impact assessments, human intervention mechanisms, and obligations to ensure “sufficient explainability” and “sufficient transparency” for high-risk systems used in the public sector. #AIRegulation#AIethics#PublicPolicy#AISafety#SouthAfrica