Tag: harm
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NCSC Feed: From bugs to bypasses: adapting vulnerability disclosure for AI safeguards
Source URL: https://www.ncsc.gov.uk/blog-post/from-bugs-to-bypasses-adapting-vulnerability-disclosure-for-ai-safeguards Source: NCSC Feed Title: From bugs to bypasses: adapting vulnerability disclosure for AI safeguards Feedly Summary: Exploring how far cyber security approaches can help mitigate risks in generative AI systems AI Summary and Description: Yes Summary: The text addresses the intersection of cybersecurity strategies and generative AI systems, highlighting how established cybersecurity…
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Slashdot: OpenAI Is Scanning Users’ ChatGPT Conversations and Reporting Content To Police
Source URL: https://yro.slashdot.org/story/25/08/31/2311231/openai-is-scanning-users-chatgpt-conversations-and-reporting-content-to-police Source: Slashdot Title: OpenAI Is Scanning Users’ ChatGPT Conversations and Reporting Content To Police Feedly Summary: AI Summary and Description: Yes Summary: The text highlights OpenAI’s controversial practice of monitoring user conversations in ChatGPT for threats, revealing significant security and privacy implications. This admission raises questions about the balance between safety and…
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Tomasz Tunguz: The Rise and Fall of Vibe Coding
Source URL: https://www.tomtunguz.com/the-rise-and-fall-of-vibe-coding/ Source: Tomasz Tunguz Title: The Rise and Fall of Vibe Coding Feedly Summary: We’re living through the “Wild West” era of AI-powered software development. Anyone can build custom solutions in minutes rather than months. This creative explosion heads toward a reckoning. Hidden maintenance costs of thousands of “vibe-coded” micro-apps will collide with…
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Slashdot: One Long Sentence is All It Takes To Make LLMs Misbehave
Source URL: https://slashdot.org/story/25/08/27/1756253/one-long-sentence-is-all-it-takes-to-make-llms-misbehave?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: One Long Sentence is All It Takes To Make LLMs Misbehave Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security research finding from Palo Alto Networks’ Unit 42 regarding vulnerabilities in large language models (LLMs). The researchers explored methods that allow users to bypass…
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Schneier on Security: We Are Still Unable to Secure LLMs from Malicious Inputs
Source URL: https://www.schneier.com/blog/archives/2025/08/we-are-still-unable-to-secure-llms-from-malicious-inputs.html Source: Schneier on Security Title: We Are Still Unable to Secure LLMs from Malicious Inputs Feedly Summary: Nice indirect prompt injection attack: Bargury’s attack starts with a poisoned document, which is shared to a potential victim’s Google Drive. (Bargury says a victim could have also uploaded a compromised file to their own…