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Tag: researchers

  • The Register: Boffins carve up C so code can be converted to Rust

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    Source URL: https://www.theregister.com/2025/01/03/mini_c_microsoft_inria/ Source: The Register Title: Boffins carve up C so code can be converted to Rust Feedly Summary: Mini-C is a subset of C that can be automatically turned to Rust without much fuss Computer scientists affiliated with France’s Inria and Microsoft have devised a way to automatically turn a subset of C…

  • Slashdot: Hackers Target Dozens of VPN, AI Extensions For Google Chrome To Compromise Data

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    Source URL: https://it.slashdot.org/story/25/01/02/2157246/hackers-target-dozens-of-vpn-ai-extensions-for-google-chrome-to-compromise-data Source: Slashdot Title: Hackers Target Dozens of VPN, AI Extensions For Google Chrome To Compromise Data Feedly Summary: AI Summary and Description: Yes Summary: The text discusses serious security concerns related to malicious updates of Chrome browser extensions, especially those connected with artificial intelligence tools and VPNs. It emphasizes the risks of…

  • Hacker News: 4.5M Suspected Fake Stars in GitHub

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    Source URL: https://arxiv.org/abs/2412.13459 Source: Hacker News Title: 4.5M Suspected Fake Stars in GitHub Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper discusses the prevalence of fake stars on GitHub and their implications for security within the open-source community. The rising trend poses a threat, not only degrading the credibility of the star…

  • Slashdot: AI Might Start Selling Your Choices Before You Make Them, Study Warns

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    Source URL: https://slashdot.org/story/24/12/31/2014246/ai-might-start-selling-your-choices-before-you-make-them-study-warns?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Might Start Selling Your Choices Before You Make Them, Study Warns Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses concerns raised by AI ethicists regarding the potential for generative AI to manipulate human motivations and commodify personal data. It highlights the insights from researchers at…

  • Hacker News: Identifying and Manipulating LLM Personality Traits via Activation Engineering

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    Source URL: https://arxiv.org/abs/2412.10427 Source: Hacker News Title: Identifying and Manipulating LLM Personality Traits via Activation Engineering Feedly Summary: Comments AI Summary and Description: Yes Summary: The research paper discusses a novel method called “activation engineering” for identifying and adjusting personality traits in large language models (LLMs). This exploration not only contributes to the interpretability of…

  • Slashdot: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers

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    Source URL: https://slashdot.org/story/24/12/30/0435226/ai-tools-may-soon-manipulate-peoples-online-decision-making-say-researchers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the potential of AI tools to manipulate online audiences by using insights from human behavior and intentions, emphasizing the emergence of an “intention economy.” Researchers warn about the…

  • The Register: It’s only a matter of time before LLMs jump start supply-chain attacks

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    Source URL: https://www.theregister.com/2024/12/29/llm_supply_chain_attacks/ Source: The Register Title: It’s only a matter of time before LLMs jump start supply-chain attacks Feedly Summary: ‘The greatest concern is with spear phishing and social engineering’ Interview Now that criminals have realized there’s no need to train their own LLMs for any nefarious purposes – it’s much cheaper and easier…

  • 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…

  • Hacker News: Explaining Large Language Models Decisions Using Shapley Values

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    Source URL: https://arxiv.org/abs/2404.01332 Source: Hacker News Title: Explaining Large Language Models Decisions Using Shapley Values Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the use of Shapley values to interpret decisions made by large language models (LLMs), highlighting how these models can exhibit cognitive biases and “token noise” effects. This work…