Tag: systems
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Schneier on Security: Subverting LLM Coders
Source URL: https://www.schneier.com/blog/archives/2024/11/subverting-llm-coders.html Source: Schneier on Security Title: Subverting LLM Coders Feedly Summary: Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often…
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Technologies | Sovereign Tech Agency: Reproducible Builds
Source URL: https://www.sovereign.tech/tech/reproducible-builds Source: Technologies | Sovereign Tech Agency Title: Reproducible Builds Feedly Summary: AI Summary and Description: Yes Summary: The Reproducible Builds project plays a crucial role in enhancing the security of open source software supply chains by addressing vulnerabilities that arise from third-party dependencies. It aims to establish reproducible builds as a standard…
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The Register: Thanks Linus. Torvalds patch improves Linux performance by 2.6%
Source URL: https://www.theregister.com/2024/11/06/torvalds_patch_linux_performance/ Source: The Register Title: Thanks Linus. Torvalds patch improves Linux performance by 2.6% Feedly Summary: 21 lines that show the big man still has what it takes A relatively tiny code change by penguin premier Linus Torvalds is making a measurable improvement to Linux’s multithreaded performance.… AI Summary and Description: Yes Summary:…
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Slashdot: AI Workers Seek Whistleblower Cover To Expose Emerging Threats
Source URL: https://slashdot.org/story/24/11/06/1513225/ai-workers-seek-whistleblower-cover-to-expose-emerging-threats?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Workers Seek Whistleblower Cover To Expose Emerging Threats Feedly Summary: AI Summary and Description: Yes Summary: Workers at AI companies are advocating for whistleblower protections, highlighting potential dangers such as deepfakes and algorithmic discrimination. Legal support argues for regulation rather than self-policing by tech firms, indicating a pressing…