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Articole: 10

  1. Review: Getting into 3D printing with AI

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    I recently got a 3d printer.

  2. Offloading GPU Workloads from Kubernetes to RunPod via Virtual Kubelet

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    TL;DR: I built a virtual kubelet that lets Kubernetes offload GPU jobs to RunPod.io; Useful for burst scaling ML workloads without needing full-time cloud GPUs.

  3. MCP: Brilliant Idea, Bad Execution

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    Everyone is currently racing to add AI to their applications.

  4. A Price Comparison of Local Neural Processors (NPUs)

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    The AI revolution is coming home in the form of open "Source" AI models.

  5. Building a Distributed Rule Engine: A Comprehensive Guide

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    Drowning in events?

  6. Running a local GPU server with docker and using it as a k3s node

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    GPU servers are expensive and cheaper option is to build your own GPU machine.

  7. On figuring out which technology we should be working on

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    In this article, I present a formalized framework to analyze hidden costs of actions.

  8. MoloVol - A Software Tool for Geometrical Analysis of Molecules

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    MoloVol is a software tool for a particular problem of theoretical chemists or biologist [1], that was released a year ago with a recent accompanying publication in the Journal of Applied Crystallography.

  9. How to deploy containers on a QNAP NAS

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    I was recently asked what I use my NAS for.

  10. Eine Neubetrachtung des Kantischen Mündigkeitsideals im Hinblick auf das anbrechende Zeitalter der künstlichen Intelligenz

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    In vorherigen Arbeiten skizzierte ich die Möglichkeit einer führenden Künstlichen Intelligenz (KI)-Assistenz und die nötigen technischen Voraussetzungen für eine persönliche Assistenz.