Fantastic question :) one could extrapolate the possibility space here to see the potential. The interesting core here is the emergent behavior clearly visible in the vizs - what happens when you measure this in higher-dimensional and more connected networks? (What if it’s not noids?) I think this is underexplored in interpretability today
You sure about that answer? Variants of boids have been implemented to leverage the GPU many times. I'm unclear how far typical GPU based examples deviate but then yours doesn't precisely imitate the original either. GPU accelerated boids is even one of the sample programs provided for testing Dawn when you compile it. [0]
Aside from "look ma, machine learning!" I noticed exactly one thing that sets your implementation aside from any other example I've seen before. It seems quite odd to me that you didn't select either neural networks or that feature for this answer.
Also the performance analysis section contains several questionable claims.
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