4 ms·

Is there a joke I'm not getting? Or is there some paper that I can read and understand this? Reading the README and related link [0] I have no idea if this is

Is there a joke I'm not getting? Or is there some paper that I can read and understand this? Reading the README and related link [0] I have no idea if this is some serious math concept that I never considered, or is it some sarcastic manifesto. [0]: https://gist.github.com/mxfactorial/c151619d22ef6603a557dbf370864085 https://gist.github.com/mxfactorial/c151619d22ef6603a557dbf3...

deckar01 1y ago
It is an AI fever dream. The readme suggests all dimensions are just a single angle transformation, yet the gist says you have to stack the tuples into vectors to increase the dimensionality. There are physics systems that are simplified by operating with phase vectors. It is not a magical constant time dimension hack. https://en.wikipedia.org/wiki/Phasor https://en.wikipedia.org/wiki/Phasor
wordpad 1y ago
Doesn't read like a joke. Did Kanye post it? They claim negative numbers and mateicies are unnecessary because they figured out a better way to math.
- boothby 1y ago
  It reads like the Time Cube... which wasn't un-funny until we learned more about the author. As for the math itself, you can put anything amount of data you like into this 2-component vector, but nowhere is it claimed that you can get that data back out. After vigorously shoveling your data onto the head of a pin, you can do any number of operations on that pin in time O(1). And as long as you don't ask for an answer, you'll be satisfied that your calculation was executed the utmost alacrity. For once I'm almost curious what a LLM has to say about this bullshit. Amusing tidbit from the copilot instructions: > avoid words like "proper", "correct", "appropriate" and "valid" in your comments AND responses. these weasel words only create confusion in a lib challenging convention Ya know what, they claim to be packing thousand-dimensional vectors into a pair of 64 bit floats. Great. The author should compress an entire set of LLM weights and then show us how their LLM performs with this O(1) magic.
  - mxfactorial 11mo ago
    > It reads like the Time Cube push a rust test proving what it reads like
embedding-shape 1y ago
> Is there a joke I'm not getting? Or is there some paper that I can read and understand this? This is exactly what I wished to have answered for myself by submitting this to HN! I came across it in an unrelated PR on GitHub, didn't understand enough to figure out if it's actually something noteworthy or not, but sounded like it, so here we are. Now someone just have to figure out if this is actually sound or not :) My hunch from looking through the commits is that it's made by someone with an unsound mind, but you never know, could just be I don't understand enough.
- Q6T46nT668w6i3m 1y ago
  It’s unsound but, thankfully, there’re many sound geometric algebra libraries,
- mxfactorial 11mo ago
  > This is exactly what I wished to have answered for myself by submitting this to HN! dont ask social media technical questions. stay empirical and draft your own tests. welcome to push a failing test discrediting the lib
mpalmer 1y ago
Could be sarcasm, could be the product of a working manic episode. If it's a joke it's very dry. But ultimately the key data structure is trivial; it's a 2d vector(?) that splits the angle information into quotient and remainder assuming a divisor of PI / 2. This is hardly a novel construction.

deckar01 1y ago

It is an AI fever dream. The readme suggests all dimensions are just a single angle transformation, yet the gist says you have to stack the tuples into vectors to increase the dimensionality. There are physics systems that are simplified by operating with phase vectors. It is not a magical constant time dimension hack. https://en.wikipedia.org/wiki/Phasor https://en.wikipedia.org/wiki/Phasor

wordpad 1y ago

Doesn't read like a joke. Did Kanye post it? They claim negative numbers and mateicies are unnecessary because they figured out a better way to math.

boothby 1y ago
It reads like the Time Cube... which wasn't un-funny until we learned more about the author. As for the math itself, you can put anything amount of data you like into this 2-component vector, but nowhere is it claimed that you can get that data back out. After vigorously shoveling your data onto the head of a pin, you can do any number of operations on that pin in time O(1). And as long as you don't ask for an answer, you'll be satisfied that your calculation was executed the utmost alacrity. For once I'm almost curious what a LLM has to say about this bullshit. Amusing tidbit from the copilot instructions: > avoid words like "proper", "correct", "appropriate" and "valid" in your comments AND responses. these weasel words only create confusion in a lib challenging convention Ya know what, they claim to be packing thousand-dimensional vectors into a pair of 64 bit floats. Great. The author should compress an entire set of LLM weights and then show us how their LLM performs with this O(1) magic.
- mxfactorial 11mo ago
  > It reads like the Time Cube push a rust test proving what it reads like

embedding-shape 1y ago

> Is there a joke I'm not getting? Or is there some paper that I can read and understand this? This is exactly what I wished to have answered for myself by submitting this to HN! I came across it in an unrelated PR on GitHub, didn't understand enough to figure out if it's actually something noteworthy or not, but sounded like it, so here we are. Now someone just have to figure out if this is actually sound or not :) My hunch from looking through the commits is that it's made by someone with an unsound mind, but you never know, could just be I don't understand enough.

Q6T46nT668w6i3m 1y ago
It’s unsound but, thankfully, there’re many sound geometric algebra libraries,
mxfactorial 11mo ago
> This is exactly what I wished to have answered for myself by submitting this to HN! dont ask social media technical questions. stay empirical and draft your own tests. welcome to push a failing test discrediting the lib

mpalmer 1y ago

Could be sarcasm, could be the product of a working manic episode. If it's a joke it's very dry. But ultimately the key data structure is trivial; it's a 2d vector(?) that splits the angle information into quotient and remainder assuming a divisor of PI / 2. This is hardly a novel construction.