🏗️ I made Shader Forge & Shapes
🌐 working on https://half-edge.xyz
🔥 shader sorceress
📏 math dork
🎥 rare YouTuber/streamer
📡 ex-founder of @NeatCorp
my kids:
🥪 @toast.acegikmo.com
🥗 @salad.acegikmo.com
🐈⬛ @thor.acegikmo.com
everyone is (mostly) physically okay, but this is the first time there's been blood
everyone is (mostly) physically okay, but this is the first time there's been blood
it's now using primitive quads with structured buffers, which is gonna allow me to fix basically *everything* that was buggy/weird about the old mesh-based polylines
it's now using primitive quads with structured buffers, which is gonna allow me to fix basically *everything* that was buggy/weird about the old mesh-based polylines
equally weird to break into tears at a stranger's house but like 😭 it's her, Siri is home!!
equally weird to break into tears at a stranger's house but like 😭 it's her, Siri is home!!
a lot of these equations have like, factorial growth in size, so they're kinda nontrivial to compute
the uniform variant is clean tho!
a lot of these equations have like, factorial growth in size, so they're kinda nontrivial to compute
the uniform variant is clean tho!
and i can hear you all say "oh just use latex(expr, order='rev-lex')" but you see-
and i can hear you all say "oh just use latex(expr, order='rev-lex')" but you see-
he's a little different
he's a little different
by the time I hit send, my arm had gotten fully surrounded by cats
by the time I hit send, my arm had gotten fully surrounded by cats
cats are so deeply social, they just don't show it as acutely as dogs. but if you give them time and pay attention, you start to see just how much they want to spend that time with you ❤️
cats are so deeply social, they just don't show it as acutely as dogs. but if you give them time and pay attention, you start to see just how much they want to spend that time with you ❤️
1. assume a linear uniform Y value distribution
2. find gy, the y index of yt
3. use index gy as an initial guess gx for the interval we want to find
4. linear search in the direction of the target value
in my example, it's just one iteration
1. assume a linear uniform Y value distribution
2. find gy, the y index of yt
3. use index gy as an initial guess gx for the interval we want to find
4. linear search in the direction of the target value
in my example, it's just one iteration
it's basically a root solve, but it's discretized and linear in a way where I feel like there has to be a better shortcut, but maybe there isn't?
it's basically a root solve, but it's discretized and linear in a way where I feel like there has to be a better shortcut, but maybe there isn't?
trump doesn't want greenland for national security reasons
he wants greenland because he wants greenland
trump doesn't want greenland for national security reasons
he wants greenland because he wants greenland