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Tailscale: A Simpler, Smarter Way to Connect All Your Devices

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Tailscale creates a private, encrypted network between your devices using WireGuard under the hood. Instead of “a VPN but complicated,” it acts more like: a mesh of private tunnels with identity-based access (your Google / Microsoft login = your authentication) and automatic NAT traversal (no port-forwarding nightmares) plus support for basically every platform on Earth Everything becomes part of your personal tailnet,  your own secure space. 1. Create your tailnet Go to https://tailscale.com/ Click Sign Up Choose the identity provider you want (Google, Microsoft, GitHub, Apple ID, etc.) That’s it. Your tailnet exists. 2. Install Tailscale on your first device On Windows Download the installer from: https://tailscale.com/download Run the .msi Sign in Approve the device curl -fsSL https://tailscale.com/install.sh | sh sudo tailscale up Then sign in via the browser page that opens. 3. Add your second device Once signed in, both devices will now appear ...
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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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