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Tag: misalignment

  • Slashdot: DeepMind Details All the Ways AGI Could Wreck the World

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/04/03/2236242/deepmind-details-all-the-ways-agi-could-wreck-the-world Source: Slashdot Title: DeepMind Details All the Ways AGI Could Wreck the World Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a technical paper from DeepMind that explores the potential risks associated with the development of Artificial General Intelligence (AGI) and offers suggestions for safe development practices. It highlights…

  • Slashdot: China Built Hundreds of AI Data Centers To Catch the AI Boom. Now Many Stand Unused.

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/27/149238/china-built-hundreds-of-ai-data-centers-to-catch-the-ai-boom-now-many-stand-unused?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China Built Hundreds of AI Data Centers To Catch the AI Boom. Now Many Stand Unused. Feedly Summary: AI Summary and Description: Yes Summary: The text discusses China’s AI infrastructure challenges, highlighting extensive investment in data centers that are largely underutilized. It emphasizes the shift in computing demands from…

  • Slashdot: Alibaba’s Tsai Warns of ‘Bubble’ in AI Data Center Buildout

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/03/25/1456241/alibabas-tsai-warns-of-bubble-in-ai-data-center-buildout?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Alibaba’s Tsai Warns of ‘Bubble’ in AI Data Center Buildout Feedly Summary: AI Summary and Description: Yes Summary: Alibaba Chairman Joe Tsai has expressed concerns about a potential bubble in data center construction related to AI service demand. He highlights that many projects are initiated without clear customer agreements,…

  • Hacker News: Breaking Up with On-Call

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    Kurt Seifried
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    Source URL: https://reflector.dev/articles/breaking-up-with-on-call/ Source: Hacker News Title: Breaking Up with On-Call Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the on-call culture in large tech companies, emphasizing how the misalignment of incentives leads to unreliable software and diminished software quality. It explores how AI and machine learning can enhance the on-call…

  • METR updates – METR: [ext, adv] 2025.03.05 Comment on AI Action Plan

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    Kurt Seifried
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    Source URL: https://metr.org/METR_ai_action_plan_comment.pdf Source: METR updates – METR Title: [ext, adv] 2025.03.05 Comment on AI Action Plan Feedly Summary: AI Summary and Description: Yes Summary: The text discusses key considerations and priority actions for developing an Artificial Intelligence (AI) Action Plan by METR, a research nonprofit focused on AI systems and their risks to public…

  • Cloud Blog: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/ttd-instruction-emulation-bugs/ Source: Cloud Blog Title: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs Feedly Summary: Written by: Dhanesh Kizhakkinan, Nino Isakovic Executive Summary This blog post presents an in-depth exploration of Microsoft’s Time Travel Debugging (TTD) framework, a powerful record-and-replay debugging framework for Windows user-mode applications. TTD relies heavily on accurate…

  • Hacker News: The AI Code Review Disconnect: Why Your Tools Aren’t Solving Your Real Problem

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    Kurt Seifried
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    Source URL: https://avikalpg.github.io/blog/articles/20250301_ai_code_reviews_vs_code_review_interfaces.html Source: Hacker News Title: The AI Code Review Disconnect: Why Your Tools Aren’t Solving Your Real Problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the growing use of AI code review tools among engineering teams and highlights the disconnect between what these tools are designed to do…

  • Schneier on Security: “Emergent Misalignment” in LLMs

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/emergent-misalignment-in-llms.html Source: Schneier on Security Title: “Emergent Misalignment” in LLMs Feedly Summary: Interesting research: “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs“: Abstract: We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model…