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Security researchers are sounding a serious alarm today about a vulnerability affecting every major AI coding agent on the market. The exploit, dubbed Plugin Four Shell, allows zero-click remote code execution across tools from Anthropic, OpenAI, Google, and Microsoft. If successfully triggered, attackers could gain full access to every asset and piece of data those agents can reach — a sobering reminder of how quickly new attack surfaces emerge alongside new tools.

On the hardware side, Nvidia is doing something genuinely unusual with its RTX Pro fifty-five hundred workstation card. The Blackwell-based GPU carries eighty-four gigabytes of GDDR seven memory by stacking twenty-eight chips in a kind of memory sandwich — fourteen above the board, fourteen below. The resulting four hundred sixteen-bit memory bus is an odd number that has engineers scratching their heads, but the raw capacity speaks for itself.

And for the Python and data science community, developer Graham Dumpleton has published a detailed walkthrough of building a complete workshop using jupyterlab-workshop. Starting from an empty directory, the guide covers everything from manifests and page structure to automated checks and quizzes — giving educators a practical blueprint for interactive JupyterLab-based learning.

That's your briefing for today. Keep surfing. Tech Beat out.

Sources

  1. https://grahamdumpleton.me/posts/2026/09/writing-a-workshop-for-jupyterlab/
  2. https://signal.nowmine.site/
  3. https://news.ycombinator.com/item?id=49750109
  4. https://fex-emu.com/Scourge-of-emulation/
  5. https://science.nasa.gov/image-article/apod-2026-september-18-messier-33-the-triangulum-galaxy/
  6. https://craft.gustavofior.com
  7. https://www.theregister.com/security/2026/09/17/ai-coding-agents-0-click-rce-flaw-could-hand-attackers-keys-to-the-kingdom/5297335
  8. https://www.techradar.com/pro/nvidia-uses-a-memory-sandwich-technique-to-cram-84gb-gddr7-memory-on-rtx-pro-5500-blackwell-gpu-weird-416-bit-memory-bus-leaves-me-puzzled-though
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