15 mph is plenty fast enough to belong in the bike lane. You’re good bro.
15 mph is plenty fast enough to belong in the bike lane. You’re good bro.
I guess I just don’t really know what feature-rich means in this context but being proprietary, not fully cross platform, and banned on most private trackers seems like huge downsides for power users compared to customization, built in search, and integrated chat.
I get this chart probably not made for people like me in mind though.
Yeah, seems weird that simple “it downloads torrents” client gets a D. It gets the job done, is easy to figure out, and doesnt fuck about with features I would never touch. Maybe thats not enough for a power user but for me its exactly what I want.
(but then why is Tixati in B, seems to have mostly downsides?)
Also known as PTFE, it is a plastic substance that has an insanely low coefficient of friction and is thus incredibly fucking useful for so many things. And much like the last weirdly good at doing everything substance (asbestos) it turns out it really should not have been put in everything, but its probably not quite as bad as asbestos.
Wdym? Pregnancy is the original lootbox, never know what kind of kids you’re gonna get.
ChatGPT is amazing for describing what you want, getting a reasonable output, and then rewriting nearly the whole thing to fit your needs. It’s a faster (shittier) stack overflow.
Python is the connective tissue holding together library calls and some of our most advanced AI research is reliant on that. mildly concerning
Idk about anyone else but its a bit long. Up to q10 i took it seriously and actually looked for ai gen artifacts (and got all of them up to 10 correct) and then I just sorta winged it and guessed and got like 50% of them right. OP if you are going to use this data anywhere I would first recommend getting all of your sources together as some of those did not have a good source, but also maybe watch out for people doing what I did and getting tired of the task and just wanting to see how well i did on the part i tried. I got like 15/20
For anyone wanting to get good at seeing the tells, focus on discontinuities across edges: the number or intensity of wrinkles across the edge of eyeglasses, the positioning of a railing behind a subject (especially if there is a corner hidden from view, you can imagine where it is, the image gen cannot). Another tell is looking for a noisy mess where you expect noisy but organized: cross-hatching trips it up especially in boundary cases where two hatches meet, when two trees or other organic looking things meet together, or other lines that have a very specific way of resolving when meeting. Finally look for real life objects that are slightly out of proportion, these things are trained on drawn images, and photos, and everything else and thus cross those influences a lot more than a human artist might. The eyes on the lego figures gave it away though that one also exhibits the discontinuity across edges with the woman’s scarf.