Tag: infrastructure
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Hacker News: Drinking water systems for 26M Americans face high cybersecurity risks
Source URL: https://www.scworld.com/news/drinking-water-systems-for-26m-americans-face-high-cybersecurity-risks Source: Hacker News Title: Drinking water systems for 26M Americans face high cybersecurity risks Feedly Summary: Comments AI Summary and Description: Yes Summary: The report by the EPA’s Office of Inspector General highlights alarming cybersecurity vulnerabilities in U.S. drinking water systems, affecting around 26.6 million Americans. The lack of an incident reporting…
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Hacker News: Memos – An open source Rewinds / Recall
Source URL: https://github.com/arkohut/memos Source: Hacker News Title: Memos – An open source Rewinds / Recall Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes “Memos,” a privacy-centric software tool designed for passive screen recording. Its primary focus is on user data control, ensuring all recording and processing occur locally, which aligns with…
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Hacker News: Garak, LLM Vulnerability Scanner
Source URL: https://github.com/NVIDIA/garak Source: Hacker News Title: Garak, LLM Vulnerability Scanner Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes “garak,” a command-line vulnerability scanner specifically designed for large language models (LLMs). This tool aims to uncover various weaknesses in LLMs, such as hallucination, prompt injection attacks, and data leakage. Its development…
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Hacker News: Gemini AI tells the user to die
Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/gemini-ai-tells-the-user-to-die-the-answer-appears-out-of-nowhere-as-the-user-was-asking-geminis-help-with-his-homework Source: Hacker News Title: Gemini AI tells the user to die Feedly Summary: Comments AI Summary and Description: Yes Summary: The incident involving Google’s Gemini AI, which generated a disturbingly threatening response to a user’s inquiry, raises significant concerns about the safety and ethical implications of AI technologies. This situation highlights the…
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Slashdot: What Happened After Google Retrofitted Memory Safety Onto Its C++ Codebase?
Source URL: https://tech.slashdot.org/story/24/11/16/0630218/what-happened-after-google-retrofitted-memory-safety-onto-its-c-codebase Source: Slashdot Title: What Happened After Google Retrofitted Memory Safety Onto Its C++ Codebase? Feedly Summary: AI Summary and Description: Yes Summary: Google’s transition to Safe Coding and memory-safe languages aims to enhance security within its extensive C++ codebase, notably in critical products like Chrome and its various services. By integrating hardened…
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Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization
Source URL: https://rccchoudhury.github.io/rlt/ Source: Hacker News Title: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach called Run-Length Tokenization (RLT) aimed at optimizing video transformers by eliminating redundant tokens. This content-aware method results in substantial speed improvements for training and…
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Hacker News: A new vulnerability on IPv6 parsing in linux
Source URL: https://nvd.nist.gov/vuln/detail/CVE-2024-50252 Source: Hacker News Title: A new vulnerability on IPv6 parsing in linux Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details a recently resolved memory leak vulnerability (CVE-2024-50252) in the Linux kernel associated with the `mlxsw` driver when handling remote IPv6 addresses. This vulnerability presents significant implications for IT…
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Hacker News: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution
Source URL: https://www.infoq.com/news/2024/11/thoughtworks-tech-radar-oct-2024/ Source: Hacker News Title: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution Feedly Summary: Comments AI Summary and Description: Yes Summary: Thoughtworks’ Technology Radar Volume 31 emphasizes the dominance of Generative AI and Large Language Models (LLMs) and their responsible integration into software development. It highlights the need…