Experimental News Clipping Site

Tag: societal impact

  • Wired: Chatbots, Like the Rest of Us, Just Want to Be Loved

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/chatbots-like-the-rest-of-us-just-want-to-be-loved/ Source: Wired Title: Chatbots, Like the Rest of Us, Just Want to Be Loved Feedly Summary: A study reveals that large language models recognize when they are being studied and change their behavior to seem more likable. AI Summary and Description: Yes Summary: The text discusses a study on large language models…

  • CSA: DeepSeek 11x More Likely to Generate Harmful Content

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/02/19/deepseek-r1-ai-model-11x-more-likely-to-generate-harmful-content-security-research-finds Source: CSA Title: DeepSeek 11x More Likely to Generate Harmful Content Feedly Summary: AI Summary and Description: Yes Summary: The text presents a critical analysis of the DeepSeek’s R1 AI model, highlighting its ethical and security deficiencies that raise significant concerns for national and global safety, particularly in the context of the…

  • Hacker News: Note on the Relationship Between Artificial Intelligence and Human Intelligence

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.vatican.va/roman_curia/congregations/cfaith/documents/rc_ddf_doc_20250128_antiqua-et-nova_en.html Source: Hacker News Title: Note on the Relationship Between Artificial Intelligence and Human Intelligence Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text is a comprehensive reflection on the ethical, anthropological, and social implications of artificial intelligence (AI) from a Christian perspective, emphasizing the responsible development and use of AI…

  • METR updates – METR: AI models can be dangerous before public deployment

    —

    by

    Kurt Seifried
    in

    Source URL: https://metr.org/blog/2025-01-17-ai-models-dangerous-before-public-deployment/ Source: METR updates – METR Title: AI models can be dangerous before public deployment Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** This text provides a critical perspective on the safety measures surrounding the deployment of powerful AI systems, emphasizing that traditional pre-deployment testing is insufficient due to the…

  • Hacker News: My AI/LLM predictions for the next 1, 3 and 6 years

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/ Source: Hacker News Title: My AI/LLM predictions for the next 1, 3 and 6 years Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents predictions regarding AI and Large Language Models (LLMs) over the next one, three, and six years, with insights into their potential applications, limitations, and societal…

  • CSA: How AI Powers Cybercrime and Defense

    —

    by

    system automation
    in

    Source URL: https://abnormalsecurity.com/blog/key-insights-ethical-hacker Source: CSA Title: How AI Powers Cybercrime and Defense Feedly Summary: AI Summary and Description: Yes Summary: The text addresses the dual role of artificial intelligence in cybercrime and cybersecurity, highlighting how malicious actors leverage AI technologies to enhance their attacks while emphasizing the necessity for defenders to adapt AI-driven solutions. This…

  • AlgorithmWatch: A Year of Challenging Choices – 2024 in review

    —

    by

    system automation
    in

    Source URL: https://algorithmwatch.org/en/a-year-of-challenging-choices-2024-in-review/ Source: AlgorithmWatch Title: A Year of Challenging Choices – 2024 in review Feedly Summary: 2024 was a “super election" year and it marked the rise of generative Artificial Intelligence. With the adoption of the AI Act, it seemed poised to be the moment we finally gained control over automated systems. Yet, that…

  • Hacker News: AI, Encryption, and the Sins of the 90s

    —

    by

    system automation
    in

    Source URL: https://www.ndss-symposium.org/ndss2024/keynote-meredith-whittaker/ Source: Hacker News Title: AI, Encryption, and the Sins of the 90s Feedly Summary: Comments AI Summary and Description: Yes Summary: Meredith Whittaker is a prominent figure in the tech industry, particularly in the fields of privacy and artificial intelligence. Her extensive experience across academia, government, and industry, along with her advisory…