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ChatGPT Lands on the Linux Desktop

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For Linux users who have long relied on browser tabs or third-party wrappers to interact with ChatGPT, OpenAI has officially expanded its native desktop lineup. The ChatGPT desktop app for Linux is now available in preview, bringing integrated workflows, local file access, and Codex tooling directly to native Linux environments. Here is a complete rundown of what’s included, supported distributions, installation steps, and current limitations. Supported Distributions & Architectures The preview release targets mainstream Debian- and Red Hat–based desktop environments across both x64 (x86_64) and ARM64 (aarch64) hardware architectures: Ubuntu: 24.04 LTS and 26.04 LTS Debian: Debian 13 Fedora: Fedora 43 and 44 To verify your system architecture before downloading, run: uname -m x86_64 indicates an x64 processor. aarch64 or arm64 indicates an ARM64 processor. Installation Guide OpenAI provides native .deb and .rpm packages, which automatically configure ...
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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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