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Tag: model

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

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    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…

  • OpenAI : Building towards age prediction

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/building-towards-age-prediction Source: OpenAI Title: Building towards age prediction Feedly Summary: Learn how OpenAI is building age prediction and parental controls in ChatGPT to create safer, age-appropriate experiences for teens while supporting families with new tools. AI Summary and Description: Yes Summary: OpenAI’s focus on age prediction and parental controls in ChatGPT demonstrates a…

  • Docker: MCP Security: A Developer’s Guide

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-security-explained/ Source: Docker Title: MCP Security: A Developer’s Guide Feedly Summary: Since its release by Anthropic in November 2024, Model Context Protocol (MCP) has gained massive adoption and is quickly becoming the connective tissue between AI agents and the tools, APIs, and data they act on.  With just a few lines of configuration,…

  • Cloud Blog: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-ml-performance-on-xpus-with-the-new-xprof-profiler-and-cloud-diagnostics-xprof-library/ Source: Cloud Blog Title: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library Feedly Summary: Are you spending more time debugging ML model performance than you are building? You’re not alone. In today’s fast-paced AI landscape, optimizing models is a complex challenge, from navigating new model…

  • 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…

  • Simon Willison’s Weblog: GPT‑5-Codex and upgrades to Codex

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/15/gpt-5-codex/#atom-everything Source: Simon Willison’s Weblog Title: GPT‑5-Codex and upgrades to Codex Feedly Summary: GPT‑5-Codex and upgrades to Codex OpenAI half-released a new model today: GPT‑5-Codex, a fine-tuned GPT-5 variant explicitly designed for their various AI-assisted programming tools. I say half-released because it’s not yet available via their API, but they “plan to make…

  • Tomasz Tunguz: How AI Tools Differ from Human Tools

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…