
GitHub has rolled out a new feature for its Advanced Security users, enabling enterprise administrators to set hard budget limits. This update allows for precise control over license usage, blocking additional assignments once a budget cap is reached. Previously, only soft budgets were available, which did not prevent overspending. The new system aims to help organizations manage their security expenses more effectively, especially during automatic license assignments. Both new and existing customers can now configure these limits in their billing settings.
Read original
© GitHub ChangelogThe latest update to CodeQL, version 2.25.5, brings notable improvements in query accuracy for C/C++, Java/Kotlin, and GitHub Actions. This release reduces false positives by refining how read-only path sinks are identified in Java/Kotlin and by adjusting the cpp/cleartext-transmission query for C/C++. Additionally, GitHub Actions queries now offer more comprehensive detection by analyzing composite action metadata. These enhancements make CodeQL a more precise tool for developers using GitHub code scanning, ensuring better security issue detection and remediation.
© GitHub ChangelogClaude Opus 4.8, Anthropic's latest model, is now part of GitHub Copilot, bringing a notable leap in code comprehension and generation. This model excels in tackling intricate problem-solving and efficiently navigating extensive codebases, surpassing previous iterations. Available to Copilot Pro+, Business, and Enterprise users, it can be accessed through Visual Studio Code, JetBrains, and GitHub Mobile, among others. The gradual rollout means some users might need to wait a bit longer to access it. This integration is set to significantly enhance the coding workflow for developers leveraging GitHub Copilot.
© GitHub ChangelogGitHub's Copilot Memory is refining its control features, offering users more precise management over memory deletion and scope. With a new repository-level off switch, admins can now disable Copilot Memory for specific repositories, ensuring repository-level facts are not stored or read. The Copilot CLI has been updated to allow users to enable or disable memory and check its status with simple commands. These enhancements aim to give users and admins greater control over how Copilot Memory functions, making it more adaptable to individual and organizational needs.
© SiftedHenrik Landgren, a former Spotify executive, is leveraging AI to help venture capitalists discern which startups are likely to succeed. By employing cohort analysis, Landgren's approach aims to identify startups that are not just hype. This method groups startups by shared characteristics to predict their potential success, offering a more data-driven approach to investment decisions. The initiative reflects a growing trend of using AI to bring more precision and objectivity to the venture capital industry. This could potentially shift how investments are made, focusing more on data-backed insights rather than intuition alone.
© SiftedInherent, a new AI lab founded by former DeepMind researchers, has secured $50 million in funding to develop 'AI-native science.' This approach aims to integrate human scientific inquiry with advanced AI systems to foster novel discoveries. The startup's platform, Faraday, seeks to address the limitations of current AI by identifying which scientific questions are worth pursuing. With backing from Index Ventures and Radical Ventures, Inherent is poised to explore the intersection of AI and scientific research, potentially transforming how breakthroughs are achieved.
© TechCrunch AIGlean has achieved a remarkable $300 million in annual recurring revenue, tripling its figures in just 15 months. This growth is particularly notable as the company faces new competition from tech giants like Google and Microsoft in the enterprise AI search market. Glean's edge lies in its 'context graph' technology, which enhances AI efficiency by reducing computing costs for enterprises. This feature is increasingly appealing to businesses aiming to manage their AI budgets more effectively. As the market becomes more crowded, Glean's ability to offer tailored AI solutions gives it a significant advantage. The company's revenue model, which includes both consumption-based and hybrid pricing, reflects its adaptability to client needs.