HashLife seems like a scale free memoizer, https://en.wikipedia.org/wiki/Hashlife https://en.wikipedia.org/wiki/Hashlife How Well Can DeepMind's AI Learn Physi

HashLife seems like a scale free memoizer, https://en.wikipedia.org/wiki/Hashlife https://en.wikipedia.org/wiki/Hashlife How Well Can DeepMind's AI Learn Physics? https://www.youtube.com/watch?v=2Bw5f4vYL98 https://www.youtube.com/watch?v=2Bw5f4vYL98 https://arxiv.org/abs/2002.09405 https://arxiv.org/abs/2002.09405 https://sites.google.com/corp/view/learning-to-simulate/home https://sites.google.com/corp/view/learning-to-simulate/home Discovering Symbolic Models from Deep Learning (Physics) https://www.youtube.com/watch?v=HKJB0Bjo6tQ https://www.youtube.com/watch?v=HKJB0Bjo6tQ Scientific Machine Learning: Physics-Informed Neural Networks with Craig Gin https://www.youtube.com/watch?v=RTPo6KgpvBA https://www.youtube.com/watch?v=RTPo6KgpvBA Steve Brunton's channel is even more mind blowing than Two Minute Papers, https://www.youtube.com/@Eigensteve https://www.youtube.com/@Eigensteve Not only can we bank computation, speed up physical simulations by 100x but I also saw some work on being able to design outcomes in GoL (game of life). There was a paper on using a NN to build or predict arbitrary patters in GoL, but I can't find it right now.