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Accessing OneDrive like a local drive on Linux with onedriver

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If you’ve ever wished your OneDrive files just appeared in your Linux filesystem, no clunky sync clients, no waiting while 100 GB of data crawl in the background, then meet onedriver . It’s a clever little tool that mounts OneDrive as a native filesystem on Linux, making your cloud files act like local files without actually syncing them all. onedriver mounts your OneDrive account to a directory (for example, ~/OneDrive ) so you can use your files through your file browser or CLI as if they were on your machine.  It does on-demand download : a file is only fetched from OneDrive the moment you try to open it — you don’t have to wait for everything to sync.  Bidirectional behavior: changes on OneDrive show up locally; write operations locally are reflected remotely. (Though “sync” here is more subtle than full-sync clients.)  Works offline for previously opened files. If you lose connectivity, the filesystem becomes read-only until you’re back online.  Installat...
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Project G-Assist

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NVIDIA has officially launched Project G-Assist, an AI assistant designed to enhance the PC experience for gamers and creators alike. 

Initially teased as an April Fool's joke in 2017, G-Assist has now become a reality, offering a suite of features aimed at optimizing system performance and user convenience. 

G-Assist provides real-time diagnostics to identify and alleviate system bottlenecks, improve power efficiency, and optimize game settings. Users can request performance metrics such as FPS, latency, GPU utilization, and temperature, and receive tailored recommendations.

The assistant can manage settings for supported peripherals from brands like Logitech G, Corsair, MSI, and Nanoleaf, allowing users to adjust lighting and fan speeds through simple commands. 

Unlike cloud-based AI models, G-Assist operates entirely on-device using a Llama-based Small Language Model (SLM) with 8 billion parameters. This ensures responsive performance without the need for an internet connection or subscription.

System Requirements:

To utilize G-Assist, users need a GeForce RTX 30, 40, or 50 Series Desktop GPU with at least 12GB of VRAM, running on Windows 10 or 11. The installation requires 6.5GB of disk space for the System Assistant and an additional 3GB for Voice Commands. 

Project G-Assist is available for download through the NVIDIA app's Discover section. Once installed, users can activate the assistant by pressing Alt+G. As an experimental feature, NVIDIA welcomes user feedback to guide future improvements and feature developments. 

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