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Tag: cell

  • Slashdot: China Tells Its Tech Companies To Stop Buying All of Nvidia’s AI Chips

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    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/09/17/0843228/china-tells-its-tech-companies-to-stop-buying-all-of-nvidias-ai-chips?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China Tells Its Tech Companies To Stop Buying All of Nvidia’s AI Chips Feedly Summary: AI Summary and Description: Yes Summary: China’s regulatory actions against major tech firms concerning Nvidia’s AI chips reflect the country’s strategic emphasis on nurturing its domestic semiconductor capabilities. This move underlines the ongoing geopolitical…

  • Slashdot: Hard Drive Shortage Intensifies as AI Training Data Pushes Lead Times Beyond 12 Months

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    Kurt Seifried
    in

    Source URL: https://hardware.slashdot.org/story/25/09/15/1823230/hard-drive-shortage-intensifies-as-ai-training-data-pushes-lead-times-beyond-12-months?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Hard Drive Shortage Intensifies as AI Training Data Pushes Lead Times Beyond 12 Months Feedly Summary: AI Summary and Description: Yes Summary: The text outlines a significant increase in demand for high-capacity hard drives driven by AI workloads, leading to extended lead times and price increases. This surge reflects…

  • Google Online Security Blog: Supporting Rowhammer research to protect the DRAM ecosystem

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    Kurt Seifried
    in

    Source URL: http://security.googleblog.com/2025/09/supporting-rowhammer-research-to.html Source: Google Online Security Blog Title: Supporting Rowhammer research to protect the DRAM ecosystem Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Rowhammer vulnerability in DRAM memory, which allows attackers to manipulate memory cells leading to unauthorized access or data corruption. It highlights the inadequacy of current mitigations…

  • Simon Willison’s Weblog: Comparing the memory implementations of Claude and ChatGPT

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/12/claude-memory/#atom-everything Source: Simon Willison’s Weblog Title: Comparing the memory implementations of Claude and ChatGPT Feedly Summary: Claude Memory: A Different Philosophy Shlok Khemani has been doing excellent work reverse-engineering LLM systems and documenting his discoveries. Last week he wrote about ChatGPT memory. This week it’s Claude. Claude’s memory system has two fundamental characteristics.…

  • Cloud Blog: Prove your expertise with our Professional Security Operations Engineer certification

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/identity-security/prove-your-expertise-with-our-new-secops-engineer-certification/ Source: Cloud Blog Title: Prove your expertise with our Professional Security Operations Engineer certification Feedly Summary: Security leaders are clear about their priorities: After AI, cloud security is the top training topic for decision-makers. As threats against cloud workloads become more sophisticated, organizations are looking for highly-skilled professionals to help defend against…

  • Simon Willison’s Weblog: Defeating Nondeterminism in LLM Inference

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/11/defeating-nondeterminism/#atom-everything Source: Simon Willison’s Weblog Title: Defeating Nondeterminism in LLM Inference Feedly Summary: Defeating Nondeterminism in LLM Inference A very common question I see about LLMs concerns why they can’t be made to deliver the same response to the same prompt by setting a fixed random number seed. Like many others I had…

  • Cloud Blog: Tata Steel enhances equipment and operations monitoring with the Manufacturing Data Engine

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/manufacturing/tata-steel-enhances-equipment-and-operations-monitoring-with-google-cloud/ Source: Cloud Blog Title: Tata Steel enhances equipment and operations monitoring with the Manufacturing Data Engine Feedly Summary: Tata Steel is one of the world’s largest steel producers, with an annual crude steel capacity exceeding 35 millions tons. With such a large and global output, we needed a way to improve asset…