

I mean given the demographic of fedi, ignoring robots.txt or GDPR removal requests warrant negative reaction and many in the list fall in that classification.
I mean given the demographic of fedi, ignoring robots.txt or GDPR removal requests warrant negative reaction and many in the list fall in that classification.
Thats fair. TBH mocap data cleanup is also a hassle and I haven’t decided to delve deeper into that. CMU has mocap data with permissive license you may find it interesting if you haven’t already.
off topic, but I saw you mentioned vr on other post so wondering wether you considered setting up vr mocap? For casual hobbyist like me stuff like glycon3d in enticing though I don’t know what type of mocap you’re after.
AFAIK it’s very model specific attacks and won’t work against other models. Their tool preserving art the same to human eye is great offering, and there’s always rigorous watermarking (esp. with strong contrast) as an universally effective option.
Not many people reading article eh?
It’s not trees in Japanese urban cities (they keep getting cut yikes) but ones planted using Japanese botanist method. It plants native and climate appropriate species to grow climax community on the go in packed manner. In theory, once established ‘the forests’ have stable ecosystem and don’t need external intervention. The theory now considered working, though the timespan to see if it truly works is centuries, and has been adopted over south Asia, east Asia and Europe.
deleted by creator
Just to check, did a quick search on usda.
Values aren’t off that much, tho meat protein value seems to be overstated. It’s still likely propaganda, since they’re not calorie-wise protein which gives better outlook for balaced diet.
You can expect more interaction on the showethought itself. IMO microblogs are more about poster, thread style forum is for a topic.
It doesn’t selectively prevents learning, instead it hinders overall recognition even to the human eyes to some extent. The examples I know are old, but artists once tried to gauge model’s capability of i2i from sketches (there’s few instances people took artists’ wip and feed it to genAI to “claim the finished piece”). Watermaking, or constant tiling all over the image worked better to worsen genAI’s recognition than regular noise/dither type filter.