Experimental News Clipping Site

Tag: variability

  • Cloud Blog: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/scatterbrain-unmasking-poisonplug-obfuscator/ Source: Cloud Blog Title: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator Feedly Summary: Written by: Nino Isakovic Introduction Since 2022, Google Threat Intelligence Group (GTIG) has been tracking multiple cyber espionage operations conducted by China-nexus actors utilizing POISONPLUG.SHADOW. These operations employ a custom obfuscating compiler that we refer to as “ScatterBrain," facilitating…

  • Hacker News: Curl Project and Go Security Teams Reject CVSS as Broken

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    Kurt Seifried
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    Source URL: https://socket.dev/blog/curl-project-and-go-security-teams-reject-cvss-as-broken Source: Hacker News Title: Curl Project and Go Security Teams Reject CVSS as Broken Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The debate surrounding the efficacy of the Common Vulnerability Scoring System (CVSS) is intensifying, particularly as key projects like cURL and Go distance themselves from it, advocating for context-driven…

  • Hacker News: Benchmarking RSA Key Generation

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    Source URL: https://words.filippo.io/dispatches/rsa-keygen-bench/ Source: Hacker News Title: Benchmarking RSA Key Generation Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth technical exploration of RSA key generation processes, including challenges and benchmarking methodologies. This can be particularly insightful for professionals in the fields of cryptography and information security, offering practical guidance…

  • Hacker News: Can LLMs Accurately Recall the Bible

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    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…

  • AlgorithmWatch: Large language models continue to be unreliable concerning elections

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    Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…

  • Hacker News: Cultural Evolution of Cooperation Among LLM Agents

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    Source URL: https://arxiv.org/abs/2412.10270 Source: Hacker News Title: Cultural Evolution of Cooperation Among LLM Agents Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper discusses the cultural evolution of cooperation among large language models (LLMs), focusing on how these AI agents can develop social norms through iteration and interaction. It explores the dynamics of…

  • The Register: Cheat codes for LLM performance: An introduction to speculative decoding

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    Source URL: https://www.theregister.com/2024/12/15/speculative_decoding/ Source: The Register Title: Cheat codes for LLM performance: An introduction to speculative decoding Feedly Summary: Sometimes two models really are faster than one Hands on When it comes to AI inferencing, the faster you can generate a response, the better – and over the past few weeks, we’ve seen a number…

  • Cloud Blog: XRefer: The Gemini-Assisted Binary Navigator

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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/xrefer-gemini-assisted-binary-navigator/ Source: Cloud Blog Title: XRefer: The Gemini-Assisted Binary Navigator Feedly Summary: Written by: Muhammad Umair Here at Mandiant FLARE, malware reverse engineering is a regular part of our day jobs. At times we are required to perform basic triages on binaries, where every hour saved is critical to incident response timelines. At…

  • Hacker News: Understanding SIMD: Infinite Complexity of Trivial Problems

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    Source URL: https://www.modular.com/blog/understanding-simd-infinite-complexity-of-trivial-problems Source: Hacker News Title: Understanding SIMD: Infinite Complexity of Trivial Problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements and challenges surrounding SIMD (Single Instruction, Multiple Data) operations, particularly in the context of high-performance computing for AI applications. The focus is on how to effectively leverage modern…

  • Hacker News: MIT researchers develop an efficient way to train more reliable AI agents

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    Source URL: https://news.mit.edu/2024/mit-researchers-develop-efficiency-training-more-reliable-ai-agents-1122 Source: Hacker News Title: MIT researchers develop an efficient way to train more reliable AI agents Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses an innovative approach developed by MIT researchers to improve the efficiency of reinforcement learning models for decision-making tasks, particularly in traffic signal control. The…