Nvidia's Project G-Assist is the first AI assistant I actually can't wait to have running on my gaming PC

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Dave has been gaming since the days of Zaxxon and Lady Bug on the Colecovision, and code books for the Commodore Vic 20 (Death Race 2000!). He built his first gaming PC at the tender age of 16, and finally finished bug-fixing the Cyrix-based system around a year later. When he dropped it out of the window.

Right now it's just a Computex tech demo, but the gaming focused Project G-Assist AI might just be the most interesting AI assistant I've seen yet. And I've seen a lot, and we'll likely see a million more throughout the Taipei show this week and on through this 'year of the AI PC'.

This is all information Nvidia already has at its fingers, with its software overlay capable of presenting a ton of data on your rig's performance in real-time, as well as a host of per-PC recommendations on the optimal settings for pretty much any game you care to throw at GeForce Experience. Just look at your average graphics settings screen. The sheer number of options, often with no explanation of what they mean, can be dizzying. Obviously, you've got handy folk like us to help, but that still requires some level of research. And if you just want to get your new game running beautifullyIt's why I've always appreciated GeForce Experience and it's auto optimising of game settings based on Nvidia's and other users' feedback.

"Think of it as kind of like an AI-powered version of our optimal settings that you find in the Nvidia App or previously GeForce Experience," an Nvidia representative tells me."It's relying on that knowledge to apply those settings on the fly within the game. The game may need a restart depending on the settings you're changing, but it's not relying on game integration.

Working with the creators of Ark Survival Ascended, Nvidia has integrated a"Knowledge Database" from the developer into the Project G-Assist Framework, which in turn plugs it into the same LLM you can ask about your PC's performance. This part of the demo describes a context-aware AI assistant that you can do something as simple as ask where to spend skill points given your current build, or what the best early game weapon might be.

 

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