I was poking around the internet, looking for good uses of procedural noise. (There are fewer comprehensive catalogs than you’d think.) And I came across Noisemaker Bot, a twitter bot by Alex Ayers that is combining various noise generators and functions to create patterns. Interestingly, it represents images as 32-bit tensors, which is, I think, rare in game applications but more common in scientific fields.
The bot has already generated a wide range of different designs, assembled from its large catalog of operations.
Noise-based patterns like these are more useful than just being pretty things to look at: deterministic, stateless noise pattern generation can be continued indefinitely while smoothly transitioning between any two given points, making it perfect for things like generating terrain. Or adding a bit of jitter to a procedural animation to give it life. Or animating screenshake. Or to pattern a fabric. Or to adjust timing delays on a data visualization to give it a more organic feel.
Any structured, quantitative signal can be used as an input to drive a whole host of different things, which is why I keep talking about unusual inputs. Generation needs structure, but that structure doesn’t necessarily have to be a realistic replication of anything.
Bot and CP!!!
They are the new sonas for my blog!
They are both robots.
Bot experiences only good emotions. And is used to help others who just need to smile.
CP on the other hand is very morose.
So yeah that’s it