One of the most significant use cases that gets impacted is game dev.
Web games benefit significantly from SAB (see the Godot engine for example) and mobile games make up a pretty sizable chunk of app store usage, particularly in app purchases.
I'm not from the US so naturally they've confused me in the past.
more than once I caught myself clicking on a shared headline of theirs, so I've added them to my DNS blocklist to avoid giving them clicks, decades ago.
my problem is not with their obviously ridiculous headlines, but the ones that hit the grey area, where it's as much good humor as a screamer is good horror.
The thing is the onion is pretty much always ridiculous, so if some of them are in a "gray area" I think that moreso speaks to the overall climate or your own personal biases.
I actually stumbled across this paper while researching exactly that question! A reliable method for transforming gaussians into geometry seems like it could dramatically change the gamedev asset pipeline.
No, they really aren’t and I’m not sure why I keep seeing this take. ML weights are binary and it’s painfully obvious.
They are the end result of a compilation process in which the training data and model code are compiled into the resulting weights. If you can’t even theoretically recreate the weights on your own hardware it isn’t open source.
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