Experimental News Clipping Site

Tag: first

  • Hacker News: Russia’s War on Ukraine: Three Years, Three Hundred and Two False Claims

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    Kurt Seifried
    in

    Source URL: https://www.newsguardrealitycheck.com/p/russias-war-on-ukraine-three-years Source: Hacker News Title: Russia’s War on Ukraine: Three Years, Three Hundred and Two False Claims Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the role of artificial intelligence in Russian disinformation campaigns during the Ukraine war, detailing how AI tools have been used to amplify the spread…

  • Simon Willison’s Weblog: Grok 3 is highly vulnerable to indirect prompt injection

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/23/grok-3-indirect-prompt-injection/#atom-everything Source: Simon Willison’s Weblog Title: Grok 3 is highly vulnerable to indirect prompt injection Feedly Summary: Grok 3 is highly vulnerable to indirect prompt injection xAI’s new Grok 3 is so far exclusively deployed on Twitter (aka “X"), and apparently uses its ability to search for relevant tweets as part of every…

  • Hacker News: Protoclone, the first bipedal, musculoskeletal Android

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    Kurt Seifried
    in

    Source URL: https://clonerobotics.com/android Source: Hacker News Title: Protoclone, the first bipedal, musculoskeletal Android Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence of natural language interfaces, particularly highlighting the evolution represented by the Clone Alpha, which leverages large language models (LLMs) to facilitate communication in plain English. This development signifies…

  • Simon Willison’s Weblog: My LLM codegen workflow atm

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/21/my-llm-codegen-workflow-atm/#atom-everything Source: Simon Willison’s Weblog Title: My LLM codegen workflow atm Feedly Summary: My LLM codegen workflow atm Harper Reed describes his workflow for writing code with the assistance of LLMs. This is clearly a very well-thought out process, which has evolved a lot already and continues to change. Harper starts greenfield projects…

  • Unit 42: Investigating LLM Jailbreaking of Popular Generative AI Web Products

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    Kurt Seifried
    in

    Source URL: https://unit42.paloaltonetworks.com/jailbreaking-generative-ai-web-products/ Source: Unit 42 Title: Investigating LLM Jailbreaking of Popular Generative AI Web Products Feedly Summary: We discuss vulnerabilities in popular GenAI web products to LLM jailbreaks. Single-turn strategies remain effective, but multi-turn approaches show greater success. The post Investigating LLM Jailbreaking of Popular Generative AI Web Products appeared first on Unit 42.…

  • Microsoft Security Blog: Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​

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    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/02/20/microsoft-at-legalweek-help-safeguard-your-ai-future-with-microsoft-purview/ Source: Microsoft Security Blog Title: Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​ Feedly Summary: ​Connect with Microsoft at Legalweek 2025 to learn how to embrace AI while protecting your organization’s data with Microsoft Purview. ​ The post Microsoft at Legalweek: Help safeguard your AI future with Microsoft Purview​…

  • Cloud Blog: Unlock Inference-as-a-Service with Cloud Run and Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-your-gen-ai-app-velocity-with-inference-as-a-service/ Source: Cloud Blog Title: Unlock Inference-as-a-Service with Cloud Run and Vertex AI Feedly Summary: It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party…

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

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    Kurt Seifried
    in

    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…