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Tag: safety policies

  • Schneier on Security: Regulating AI Behavior with a Hypervisor

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/04/regulating-ai-behavior-with-a-hypervisor.html Source: Schneier on Security Title: Regulating AI Behavior with a Hypervisor Feedly Summary: Interesting research: “Guillotine: Hypervisors for Isolating Malicious AIs.” Abstract:As AI models become more embedded in critical sectors like finance, healthcare, and the military, their inscrutable behavior poses ever-greater risks to society. To mitigate this risk, we propose Guillotine, a…

  • Hacker News: Gemma 3 Technical Report [pdf]

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    Kurt Seifried
    in

    Source URL: https://storage.googleapis.com/deepmind-media/gemma/Gemma3Report.pdf Source: Hacker News Title: Gemma 3 Technical Report [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive technical report on Gemma 3, an advanced multimodal language model introduced by Google DeepMind. It highlights significant architectural improvements, including an increased context size, enhanced multilingual capabilities, and innovations…

  • Hacker News: O3-mini System Card [pdf]

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    Kurt Seifried
    in

    Source URL: https://cdn.openai.com/o3-mini-system-card.pdf Source: Hacker News Title: O3-mini System Card [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The OpenAI o3-mini System Card details the advanced capabilities, safety evaluations, and risk classifications of the OpenAI o3-mini model. This document is particularly pertinent for professionals in AI security, as it outlines significant safety measures…

  • Simon Willison’s Weblog: ChatGPT Operator system prompt

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/chatgpt-operator-system-prompt/#atom-everything Source: Simon Willison’s Weblog Title: ChatGPT Operator system prompt Feedly Summary: ChatGPT Operator system prompt Johann Rehberger snagged a copy of the ChatGPT Operator system prompt. As usual, the system prompt doubles as better written documentation than any of the official sources. It asks users for confirmation a lot: ## Confirmations Ask…

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

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    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…

  • METR Blog – METR: Evaluating frontier AI R&D capabilities of language model agents against human experts

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    system automation
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    Source URL: https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/ Source: METR Blog – METR Title: Evaluating frontier AI R&D capabilities of language model agents against human experts Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the release of RE-Bench, a new benchmark aimed at evaluating the performance of AI agents against human experts in machine learning (ML) research…