On generative algorithms
inconvergent.net
On generative algorithms
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Re: On generative algorithms
#2Davinci pointed out that a tree’s thickness is constant if you slice it in a semi circle. https://fractalfoundation.org/OFC/leonardotree1.jpg
That is, if you face a tree and draw a circle with your arm, and add up all the thicknesses your fingers intersect, the total will always be the same.
https://www.insidescience.org/news/uncovering-da-vincis-rule...
Re: On generative algorithms
#3Warning, this series of fantastically written articles on generative art might make you feel very small and sad compared to those who are capable of not only creating but communicating beauty like this.
In other words, I highly recommend you try some generative art yourself and see that at its core, it is not that hard and YOU can do it too!
Re: On generative algorithms
#4One of the reasons why I like to follow generative algorithms its extremely unique and wildly diverse at the same time. It is a combination of geometry, design, art & programming that tries to mimic nature.
Re: On generative algorithms
#5Warning, this series of fantastically written articles on generative art might make you feel very small and sad compared to those who are capable of not only creating but communicating beauty like this. In other words, I highly recommend you try some generative art yourself and see that at its core, it is not that hard and YOU can do it too!
Hmm, no need to feel like that. There are so many wonderful things in the world. Creativity is additive — even if you only do something small, it still matters.
Re: On generative algorithms
#6Everyone who liked this should like to read on Generative Adversarial (Neural) Networks, generative models where a pair of neural networks are trained one against the other to learn to generate new images. This has been put to many great purposes, including artistic ones: https://towardsdatascience.com/gangogh-creating-art-with-gan...
Re: On generative algorithms
#7These are very beautiful. Very organic, yet strictly mathematical.
Many of these techniques have practical applications in computer graphics; see for example https://www.youtube.com/user/keeroyz/videos
Re: On generative algorithms
#8Warning, this series of fantastically written articles on generative art might make you feel very small and sad compared to those who are capable of not only creating but communicating beauty like this. In other words, I highly recommend you try some generative art yourself and see that at its core, it is not that hard and YOU can do it too!
Hmm, no need to feel like that. There are so many wonderful things in the world. Creativity is additive — even if you only do something small, it still matters.
> Creativity is additive — even if you only do something small, it still matters.
This is a wonderful quote, which I'll probably steal. (Is it original to you?) Thank you!
Re: On generative algorithms
#9There's but a fine line between generative algorithms used for the purposes of arts and entertainment
and those used for programming itself.
Formerly referred to as meta-programming
generative programming is the art of writing programs that help generate programs
sort of a way of extending the idea of the tool as in programming tool
beyond its current rather static avatar that consists merely of a rather lifeless IDE
Re: On generative algorithms
#10Everyone who liked this should like to read on Generative Adversarial (Neural) Networks, generative models where a pair of neural networks are trained one against the other to learn to generate new images. This has been put to many great purposes, including artistic ones: https://towardsdatascience.com/gangogh-creating-art-with-gan...
No it's a completely different interest and skillet. Not everything can be boiled down to "datascience can fix it!". Especially when all those NNs will just generate art that's a mashup of the training data and won't have any real inspiration. Unexpected results is not inspiration.