Spot on, it’s a variation of the “Robots were supposed to clean the house why I make art, not the other way around” meme and arguably Moravec’s paradox.

If someone somehow wants to test this locally I suggest

• install locally a vision model, e.g. Moondream (which Ollama supports but alternatives too), then
• take a screenshot of your game,
• write a prompt like “How can I play this game better”
• query the vision model with the image and your prompt

marvel at how pointless and costly the whole setup is and how a basic query on e.g. DuckDuckGo with “game name” + prompt would yield way WAY better results from actual human, uninstall the whole, keep on playing with your actual brain.

At least now you can say you tried before you complain, rightfully, that it sucks.

For more check https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence

PS: I didn’t actually try this, I’m too lazy for that right how but feel free to report back if you do!

Edit : 2 potential optimization (despite not being sure it ever makes sense in the first place!)

• do so automatically, e.g. ~/gaming_screenshots directory (via e.g. Spectacle shortcut) monitored via inotify then notify-send the suggestion, thus stay in game during the whole process
• fine tune on specific visual datasets, e.g. rely on fextra as mentioned in https://lemmy.world/post/37758804/20113877

privacy zuckering