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How to Upgrade Manually to Ubuntu 26.10 "Stonking Stingray"

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  With the development cycle for Ubuntu 26.10 officially underway, Canonical has published stonking/snapshot-1 . For early adopters, developers, and enthusiasts looking to ride the absolute edge of the open-source wave, the temptation to jump from the stable shores of 26.04 LTS, Resolute Raccoon, into the development stream is strong. Because the automated release pathways are not populated so early in the cycle, the standard do-release-upgrade -d tool will politely decline to find the new branch. To make the leap, we must step past the guardrails and manage our repository tracking manually. > Important Prerequisite: Upgrading to a day-one snapshot moves your environment into a highly experimental space. Ensure all core personal files, configurations, and local development repositories are thoroughly backed up before executing these steps. Ubuntu 26.04 has transitioned to a modern, structured deb822 formatting layout for core package sources. This means standard mod...
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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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