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Tag: Nuanced

  • Tomasz Tunguz: When One AI Grades Another’s Work

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/evolution-of-ai-judges-improving-evoblog/ Source: Tomasz Tunguz Title: When One AI Grades Another’s Work Feedly Summary: Since launching EvoBlog internally, I’ve wanted to improve it. One way of doing this is having an LLM judge the best posts rather than a static scoring system. I appointed Gemini 2.5 to be that judge. This post is a…

  • Slashdot: LLM Found Transmitting Behavioral Traits to ‘Student’ LLM Via Hidden Signals in Data

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/17/0331217/llm-found-transmitting-behavioral-traits-to-student-llm-via-hidden-signals-in-data?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: LLM Found Transmitting Behavioral Traits to ‘Student’ LLM Via Hidden Signals in Data Feedly Summary: AI Summary and Description: Yes Summary: The study highlights a concerning phenomenon in AI development known as subliminal learning, where a “teacher” model instills traits in a “student” model without explicit instruction. This can…

  • Simon Willison’s Weblog: Claude Sonnet 4 now supports 1M tokens of context

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/12/claude-sonnet-4-1m/ Source: Simon Willison’s Weblog Title: Claude Sonnet 4 now supports 1M tokens of context Feedly Summary: Claude Sonnet 4 now supports 1M tokens of context Gemini and OpenAI both have million token models, so it’s good to see Anthropic catching up. This is 5x the previous 200,000 context length limit of the…

  • OpenAI : From hard refusals to safe-completions: toward output-centric safety training

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/gpt-5-safe-completions Source: OpenAI Title: From hard refusals to safe-completions: toward output-centric safety training Feedly Summary: Discover how OpenAI’s new safe-completions approach in GPT-5 improves both safety and helpfulness in AI responses—moving beyond hard refusals to nuanced, output-centric safety training for handling dual-use prompts. AI Summary and Description: Yes Summary: The text discusses OpenAI’s…

  • Docker: Hard Questions: What You Should Really Be Asking Your Hardened Image Provider Before You Press the Buy Button

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/container-security-hardened-images-questions/ Source: Docker Title: Hard Questions: What You Should Really Be Asking Your Hardened Image Provider Before You Press the Buy Button Feedly Summary: When evaluating hardened image providers, don’t just look for buzzwords like “zero-CVE" or "minimal." True security in a dynamic environment demands a nuanced understanding of their process, their commitment,…

  • Shabie’s blog: Let the kaleidoscope turn

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    Kurt Seifried
    in

    Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…