Experimental News Clipping Site

Tag: tracking

  • Hacker News: Exposing Russian EFF Impersonators: The Inside Story on Stealc and Pyramid C2

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    Kurt Seifried
    in

    Source URL: https://hunt.io/blog/russian-speaking-actors-impersonate-etf-distribute-stealc-pyramid-c2 Source: Hacker News Title: Exposing Russian EFF Impersonators: The Inside Story on Stealc and Pyramid C2 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth analysis of a cyber attack targeting the online gaming community, specifically through impersonation of the Electronic Frontier Foundation (EFF) to conduct phishing…

  • Docker: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/docker-desktop-4-39/ Source: Docker Title: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds Feedly Summary: Docker Desktop 4.39 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more! AI Summary and Description: Yes **Summary:** The text discusses the latest…

  • Hacker News: Multiply Went from Datomic to XTDB to Rama

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    Kurt Seifried
    in

    Source URL: https://blog.redplanetlabs.com/2025/03/04/how-multiply-went-from-datomic-to-xtdb-to-rama/ Source: Hacker News Title: Multiply Went from Datomic to XTDB to Rama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines how Multiply, an AI-powered collaboration platform, transitioned from using traditional databases to employing the innovative Rama platform to enhance their backend architecture. This shift allowed them to overcome…

  • The Register: How Google tracks Android device users before they’ve even opened an app

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/04/google_android/ Source: The Register Title: How Google tracks Android device users before they’ve even opened an app Feedly Summary: No warning, no opt-out, and critic claims … no consent Research from a leading academic shows Android users have advertising cookies and other gizmos working to build profiles on them even before they open…

  • Cloud Blog: How to calculate your AI costs on Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Anchore: Generating Python SBOMs: Using pipdeptree and Syft

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/python-sbom-generation/ Source: Anchore Title: Generating Python SBOMs: Using pipdeptree and Syft Feedly Summary: SBOM (software bill of materials) generation is becoming increasingly important for software supply chain security and compliance. Several approaches exist for generating SBOMs for Python projects, each with its own strengths. In this post, we’ll explore two popular methods: using…

  • Hacker News: Doing data labelling in-house

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    Kurt Seifried
    in

    Source URL: https://www.ericbutton.co/p/data-labelling Source: Hacker News Title: Doing data labelling in-house Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of Yeager, a state-of-the-art AI model for air traffic control audio, and the significant effort put into in-house data labeling. It emphasizes the unique challenges of working with highly specialized…