@espectalll Wait does it just play the game for you?
@stolas it sounds like it will, yeah????
@espectalll Honestly, this whole project is total vaporwere
@stolas it's releasing this month, right?
@espectalll Is it?
Maybe it will exist then.
@espectalll @stolas Someone in a reply speculates how it might work: https://twitter.com/Nintendrew_/status/1181970326839840768
@espectalll @stolas I've no idea, and I think that person's hypothesis is insane and unworkable, because of resource costs and how often I've seen odd timing issues in a *single* instance of single-player games. This whole thing smacks of Google just rubbing "AI" on a problem and seeing whether it makes them money.
Far more likely and Google-esque: train a model on how existing players behave and predict and prerender one possible path based on that. (Or a handful.)
Also likely and Google-esque: it’s a vaporware moonshot self-flagellation project that won’t leave beta.
the only thing you'd be able to reliably cut down with this technique is rendering time, right? unless you're sending every single simulated frame for the local device to figure out or something
@espectalll i already hate it when google wants to save my app signing keys *for me* so that would be no difference
@Dee THAT'S EXACTLY WHAT I THOUGHT OF
@espectalll I mean, it’s basically the same idea as branch prediction in a CPU, since whether or not you provide some input is essentially a branch.
The core idea isn’t that new, though—multiplayer games already often do some sort of prediction and then adjust state as actual data arrives (so with too much lag you get rubberbandy effects), but Google just decided to throw machine learning in there. It kind of follows from their usual strategy: offer a service, have people use it, collect data on how they use it, build a model based on that data (after a year or two).
@espectalll if Microsoft does something like this for xCloud, they should call it FTT (Faster Than Time), to call back to an old Mixer april fools joke :p
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