made a kellan deck on moxfield that aims to tutor for the swords that give kellan protection from your opponents' colours, then put assault suit on him. probably it plays very clunky because assault suit usually does, but if it works it could be a significantly worse slicer
aluminiumsandworm
joined 1 year ago
yuru camp has 10/10 dialogue
this makes sense because cis women have such small bones they can't reach past the centre board, giving most trans women and tall cis women an inherent advantage. /s
what the fuck chess this is just blatant transphobia
it will take a global revolution for that to occur. the current financial system intentionally keeps india similar countries in relative poverty
what happens when you eat olive them
america is the centre of the imperial core and has a privatized medical industry
some prices are overvalued and probably should drop, but those are mostly asset prices and will make people grouchy when they do
this is what happens when you use an anime girl model to make normal pictures probably
half the machine learning people at my company are women, and while we've had more men in the past than women, women are far from vanishingly rare in the field. and none of them are "token women" who got their position through gender; they've all been intelligent and effective engineers who are good at their job.
if you're doing jumpstart i'd stick to the jumpstart 2020 and 2022 editions, not the set releases. the cards are better, there's more variety in the themes they offer, and it feels more cohesive than the stuff like jumpstart: lotr or jumpstart: brother's war
monoid on the category of endofunctors rule
this is misleading. if you read the study, you'll see the aggregate miss rate is much worse for dark skinned people and children, but that's weighted by the models that haven't been trained specifically for use with pedestrian detection. the pedestrian detection models, i.e. the ones people actually are going to use, were within 1% as accurate for skin tone, and were about 10% worse at detecting kids. since kids are already harder to see for human drivers, that seems much more similar to human performance.
the other thing it doesn't mention is how bad they are at detecting people in general. the best one misses people roughly 5% of the time, which seems pretty high for something that's supposed to be driving a car