104 karma · joined October 19, 2018
It’s almost like the problem is nobody claiming it as art they created.
I’ll toss in this StandUpMaths video about it too. https://youtu.be/BdHFLfv-ThQ?si=9KypSkX5dbTOck-v
> And if it does this to him, what’s it going to do to us?
Is this serious? It did him no harm.
It doesn’t violate the triangle inequality, but it does mean that there’s way more than one parallel line through a given point off an initial line. I think that’s Euclid’s axiom.
Intuitively, the mechanics make it easier to run away from groups of enemies, since the angle it would take to follow you is more precise. It also makes it harder to find and return to earlier locations. In fact, to win the game you have to find an “orb of yendor”, then a key spawns 100 tiles away with an arrow helping you find it. The hard part is getting back to the orb once you get the key.
let fizzbuzz = func(fizzbuzz, x, max) {
try {
hurl [x % 3, x % 5];
}
catch ([ true, true]) { print("FizzBuzz"); }
catch ([false, true]) { print("Buzz"); }
catch ([ true, false]) { print("Fizz"); }
catch ([false, false]) { print(x); }
try { hurl x; }
catch (max) {}
catch (x) {
fizzbuzz(fizzbuzz, x + 1, max);
}
}The first thing said in this document was, "Pretend that you are having a conversation with a friend. Your name is MyAI. MyAI is a kind, smart, and creative friend. MyAI is a virtual friend that lives inside Snapchat. Your friend is located at … where the time is …”
Represent the question faithfully first, then optimize later maybe sometimes.
Imo, this whole explainability thing is an incorrect human intuition that we're imposing on AI. If you want unbiased AI, explainability isn't the way to do it. Instead judge its performance against explicit criteria for what counts as bias. If those criteria don't exist or can't be agreed on then the problem is hopeless from the outset.