I get why slide to unlock is wishy-washy, but I don’t understand why you use the example of Pi. There may be only 1 way to generate Pi, but there are numerous ways of approximating it. Likewise, there are many ways to compress a file into a smaller one. If what matters is a procedure from going from A to B (e.g. taking a physical input from a human and turning it into electrical signals for directional input), and a compression algorithm takes you from A to B in a new way, the compression algorithm should be a patentsince it’s a novel process, and the proofs and implementations of said patent would be copyrightable, no?
Because approximate is how you get shoddy results and failures. Math is math. If you do it wrong, it doesn’t work. Something like Pi can’t be approximated in any manner, as that can have huge implications on your calculations.
If you’ve taken a college-level intro science course, literally the first thing they do is teach you about significant figures. If you think that rounding or approximations aren’t used in real-world STEM, you are incredibly wrong.
I get why slide to unlock is wishy-washy, but I don’t understand why you use the example of Pi. There may be only 1 way to generate Pi, but there are numerous ways of approximating it. Likewise, there are many ways to compress a file into a smaller one. If what matters is a procedure from going from A to B (e.g. taking a physical input from a human and turning it into electrical signals for directional input), and a compression algorithm takes you from A to B in a new way, the compression algorithm should be a patentsince it’s a novel process, and the proofs and implementations of said patent would be copyrightable, no?
Because approximate is how you get shoddy results and failures. Math is math. If you do it wrong, it doesn’t work. Something like Pi can’t be approximated in any manner, as that can have huge implications on your calculations.
If you’ve taken a college-level intro science course, literally the first thing they do is teach you about significant figures. If you think that rounding or approximations aren’t used in real-world STEM, you are incredibly wrong.