Post B4r4PHDUmabRR2Q1BY by aartaka@merveilles.town
 (DIR) More posts by aartaka@merveilles.town
 (DIR) Post #B4qw2Jewje92iXnbpA by aartaka@merveilles.town
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       @neauoire are you by any chance aware of some work doing “useful” computation with cellular automatons?
       
 (DIR) Post #B4qw2JsPvYv7OK6Moy by neauoire@merveilles.town
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       @aartaka what do you have in mind by useful?
       
 (DIR) Post #B4r4PHDUmabRR2Q1BY by aartaka@merveilles.town
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       @neauoire like getting some information out of it. Calculating numbers, getting an image, proving a theorem.
       
 (DIR) Post #B4r51Zz5SBGEe6wXxY by neauoire@merveilles.town
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       @aartaka if midi information as output is valid, and you consider orca a CA, then I'd say yes, it's very useful. It's likely the most efficient UX in terms of density for livecoding beating 1d textual representation. And it allows for the encoding of data in a very dense way.https://llllllll.co/t/orca-livecoding-tool/17689/2296Someone else mentioned wireworld which works the same way, if you use the edge of the world as IOhttps://www.youtube.com/watch?v=m5kT47US7ekNeural nets are not too far from cellular automata too, only they don't map to a rigid grid. But for tasks that aren't sequential, or can be distributed, CA are very efficient, think of Green Arrays for example. https://wiki.xxiivv.com/site/neural_nets.htmlYou can also consider the memory model behind BQN and APL as CA, as state changes on memory is applied non-deterministically.https://mlochbaum.github.io/BQN/commentary/why.html
       
 (DIR) Post #B4r7XDA22uHb2FH28W by aartaka@merveilles.town
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       @neauoire the experiments with making a Turing machine in orca were definitely on my mind! And neural networks merge with CAs inti neural CAs, so yeah, it’s there.Thanks for the reference!