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Tag: implicit

  • The Register: Open source Cloud Hypervisor adds (maybe futile) no-AI-code policy

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/09/15/cloud_hypervisor_no_ai_policy/ Source: The Register Title: Open source Cloud Hypervisor adds (maybe futile) no-AI-code policy Feedly Summary: Virtualization tool for hyperscalers now scales to 8,192 vCPUs The Cloud Hypervisor project has introduced a No AI code policy.… AI Summary and Description: Yes Summary: The text discusses advancements in virtualization technology specifically for hyperscaler environments,…

  • Cloud Blog: Building scalable, resilient enterprise networks with Network Connectivity Center

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/networking/resiliency-with-network-connectivity-center/ Source: Cloud Blog Title: Building scalable, resilient enterprise networks with Network Connectivity Center Feedly Summary: For large enterprises adopting a cloud platform, managing network connectivity across VPCs, on-premises data centers, and other clouds is critical. However, traditional models often lack scalability and increase management overhead. Google Cloud’s Network Connectivity Center is a…

  • Cloud Blog: StreamSight: Driving transparency in music royalties with AI-powered forecasting

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/media-entertainment/streamsight-driving-transparency-in-music-royalties-with-ai-powered-forecasting/ Source: Cloud Blog Title: StreamSight: Driving transparency in music royalties with AI-powered forecasting Feedly Summary: In an industry generating vast volumes of streaming data every day, ensuring precision, speed, and transparency in royalty tracking is a constant and evolving priority. For music creators, labels, publishers, and rights holders, even small gaps in…

  • Unit 42: Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model Name Trust

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    Kurt Seifried
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    Source URL: https://unit42.paloaltonetworks.com/model-namespace-reuse/ Source: Unit 42 Title: Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model Name Trust Feedly Summary: Model namespace reuse is a potential security risk in the AI supply chain. Attackers can misuse platforms like Hugging Face for remote code execution. The post Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model…

  • Cloud Blog: Simplify complex eventing at Scale with Eventarc Advanced

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-modernization/eventarc-advanced-orchestrates-complex-microservices-environments/ Source: Cloud Blog Title: Simplify complex eventing at Scale with Eventarc Advanced Feedly Summary: Modern application development requires organizations to invest not only in scale but also in simplification and central governance. This means more than message routing; it requires a simple, unified messaging platform that can intelligently filter, transform, and govern…

  • Simon Willison’s Weblog: Quoting Bruce Schneier

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/27/bruce-schneier/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Bruce Schneier Feedly Summary: We simply don’t know to defend against these attacks. We have zero agentic AI systems that are secure against these attacks. Any AI that is working in an adversarial environment—and by this I mean that it may encounter untrusted training data or…

  • Docker: Prototyping an AI Tutor with Docker Model Runner

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/how-to-build-an-ai-tutor-with-model-runner/ Source: Docker Title: Prototyping an AI Tutor with Docker Model Runner Feedly Summary: Every developer remembers their first docker run hello-world. The mix of excitement and wonder as that simple command pulls an image, creates a container, and displays a friendly message. But what if AI could make that experience even better?…

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

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    Kurt Seifried
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    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…