
GitHub has announced the enforcement of minimum version requirements for self-hosted runners on GitHub Actions. This change is part of a broader effort to improve the reliability and performance of their backend services, which now handle over 120 million jobs per day. Starting in early 2024, runners must be on version 2.329.0 or later to register and must update within 30 days of new releases to continue executing jobs. This enforcement aims to phase out outdated runners and ensure the platform's efficiency and security.
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© GitHub ChangelogGitHub's Copilot code review has introduced new features that enhance customization and control for developers. Teams can now configure runner types at the organization level, allowing a single setting to apply across all repositories, which simplifies the setup process. The removal of the character limit on custom instructions provides more room for detailed guidance, while content exclusion settings ensure that Copilot respects organizational boundaries. These updates make Copilot code review more adaptable to specific team needs, offering greater flexibility and precision in code review processes.
© GitHub ChangelogGitHub Enterprise Server 3.21 introduces several enhancements aimed at improving deployment efficiency and code security. Notably, organization custom properties are now available, allowing administrators to tag organizations with metadata for better policy management. The hierarchy view for GitHub Projects provides a clearer view of issue hierarchies, enhancing project management. Additionally, the REST API version 2026-03-10 is now available, with support for older versions continuing for 24 months. These updates make GitHub Enterprise Server more robust and user-friendly for enterprise users.
© GitHub ChangelogGitHub Copilot CLI has introduced a new /settings command, bringing all configuration management into a single, schema-driven interface. This update merges various commands and manual settings edits into one accessible location, allowing users to easily browse and modify settings through a full-screen dialog. The command supports inline changes, resets, and even complex JSON edits with schema validation to prevent errors. This enhancement improves the user experience by providing a unified, intuitive way to manage settings, making configuration more efficient and less error-prone. Users can now manage their settings with greater ease and confidence, knowing that changes are validated and applied live. This development marks a significant step in making configuration management more user-friendly and reliable.
© TechCrunch AIAnthropic's suspension of access to its latest AI models, Fable 5 and Mythos 5, due to a U.S. government directive, has sparked a significant debate in India about its reliance on foreign AI technologies. This decision follows closely on the heels of Anthropic's partnership with Tata Consultancy Services, emphasizing India's deep integration with U.S.-developed AI systems. The move has prompted Indian tech leaders to reconsider the nation's AI strategy, with increased calls for investment in domestic AI capabilities and open-source alternatives. This incident highlights the geopolitical complexities that influence access to advanced AI technologies and raises questions about India's technological independence.
© The Verge AIAmazon's cybersecurity research has reportedly driven the White House to restrict access to Anthropic's Fable 5 and Mythos 5 models. The findings suggested these models could be manipulated to provide information useful for cyberattacks, leading to discussions between Amazon CEO Andy Jassy and government officials. This decision has significant implications, as it prevents foreign nationals, including some of Anthropic's own researchers, from accessing these AI models. The situation underscores ongoing tensions between Anthropic and the U.S. government, particularly regarding the use of AI for surveillance and military purposes.
© TechCrunch AIKPMG has pulled a report on AI usage after several organizations challenged its accuracy, attributing the errors to AI hallucinations. The report falsely represented AI practices at companies like UBS and the UK's NHS, raising concerns about the reliability of AI-generated content. This situation reveals the pitfalls of using AI without adequate human validation, especially in professional documents. As AI tools become more integrated into content creation, ensuring their outputs are accurate and trustworthy is vital to maintaining professional integrity.