Experimental News Clipping Site

Tag: model responses

  • Docker: Build a GenAI App With Java Using Spring AI and Docker Model Runner

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/build-genai-app-with-java-spring-ai-docker-model-runner/ Source: Docker Title: Build a GenAI App With Java Using Spring AI and Docker Model Runner Feedly Summary: When thinking about starting a Generative AI (GenAI) project, you might assume that Python is required to get started in this new space. However, if you’re already a Java developer, there’s no need to…

  • Simon Willison’s Weblog: Expanding on what we missed with sycophancy

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/2/what-we-missed-with-sycophancy/ Source: Simon Willison’s Weblog Title: Expanding on what we missed with sycophancy Feedly Summary: Expanding on what we missed with sycophancy I criticized OpenAI’s initial post about their recent ChatGPT sycophancy rollback as being “relatively thin" so I’m delighted that they have followed it with a much more in-depth explanation of what…

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

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    Kurt Seifried
    in

    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

  • Hacker News: Simple Explanation of LLMs

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    Kurt Seifried
    in

    Source URL: https://blog.oedemis.io/understanding-llms-a-simple-guide-to-large-language-models Source: Hacker News Title: Simple Explanation of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of Large Language Models (LLMs), highlighting their rapid adoption in AI, the foundational concepts behind their architecture, such as attention mechanisms and tokenization, and their implications for various fields.…

  • Simon Willison’s Weblog: Leaked Windsurf prompt

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/25/leaked-windsurf-prompt/ Source: Simon Willison’s Weblog Title: Leaked Windsurf prompt Feedly Summary: Leaked Windsurf prompt The Windurf Editor is Codeium’s highly regarded entrant into the fork-of-VS-code AI-enhanced IDE model first pioneered by Cursor (and by VS Code itself). I heard online that it had a quirky system prompt, and was able to replicate that…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Cloud Blog: Enhance Gemini model security with content filters and system instructions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhance-gemini-model-security-with-content-filters-and-system-instructions/ Source: Cloud Blog Title: Enhance Gemini model security with content filters and system instructions Feedly Summary: As organizations rush to adopt generative AI-driven chatbots and agents, it’s important to reduce the risk of exposure to threat actors who force AI models to create harmful content.   We want to highlight two powerful capabilities…

  • The GenAI Bug Bounty Program | 0din.ai: Poison in the Pipeline: Liberating models with Basilisk Venom

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    Kurt Seifried
    in

    Source URL: https://0din.ai/blog/poison-in-the-pipeline-liberating-models-with-basilisk-venom Source: The GenAI Bug Bounty Program | 0din.ai Title: Poison in the Pipeline: Liberating models with Basilisk Venom Feedly Summary: AI Summary and Description: Yes Summary: The provided text highlights a significant incident of data poisoning in generative AI models, emphasizing the long-term implications of malicious data insertion and its potential impact…