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Tag: loop

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • CSA: Seize the Zero Moment of Trust

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/01/31/seize-the-zero-moment-of-trust Source: CSA Title: Seize the Zero Moment of Trust Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the integration of Zero Trust Architecture (ZTA) and Continuous Threat Exposure Management (CTEM) as pivotal frameworks in modern cybersecurity strategy. It emphasizes the importance of data loops in enhancing security measures, reducing…

  • Hacker News: Show HN: Mcp-Agent – Build effective agents with Model Context Protocol

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    Kurt Seifried
    in

    Source URL: https://github.com/lastmile-ai/mcp-agent Source: Hacker News Title: Show HN: Mcp-Agent – Build effective agents with Model Context Protocol Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The content discusses the mcp-agent framework, designed to create AI agents using the Model Context Protocol (MCP). It highlights its ability to integrate various components for building sophisticated…

  • Cloud Blog: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/scatterbrain-unmasking-poisonplug-obfuscator/ Source: Cloud Blog Title: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator Feedly Summary: Written by: Nino Isakovic Introduction Since 2022, Google Threat Intelligence Group (GTIG) has been tracking multiple cyber espionage operations conducted by China-nexus actors utilizing POISONPLUG.SHADOW. These operations employ a custom obfuscating compiler that we refer to as “ScatterBrain," facilitating…

  • Slashdot: Developer Creates Infinite Maze That Traps AI Training Bots

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/23/2135205/developer-creates-infinite-maze-that-traps-ai-training-bots?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Developer Creates Infinite Maze That Traps AI Training Bots Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the development of an open-source program called Nepenthes, designed to trap AI web crawlers in an endless loop of link generation, effectively wasting their resources. This innovative approach provides…

  • Cloud Blog: Is your platform ready for 2025? New research on platform engineering reveals the secret to success

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/application-modernization/new-platform-engineering-research-report/ Source: Cloud Blog Title: Is your platform ready for 2025? New research on platform engineering reveals the secret to success Feedly Summary: Platform engineering, one of Gartner’s top 10 strategic technology trends for 2024, is rapidly becoming indispensable for enterprises seeking to accelerate software delivery and improve developer productivity. How does it…

  • Simon Willison’s Weblog: AI mistakes are very different from human mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/21/ai-mistakes-are-very-different-from-human-mistakes/#atom-everything Source: Simon Willison’s Weblog Title: AI mistakes are very different from human mistakes Feedly Summary: AI mistakes are very different from human mistakes An entertaining and informative read by Bruce Schneier and Nathan E. Sanders. If you want to use an AI model to help with a business problem, it’s not enough…