I have originally developed LSRDRs to investigate the cryptographic security of the mining algorithm for the cryptocurrency Circcash and compare Circcash mining with similar mining algorithms. I launched the cryptocurrency Circcash so that Circcash mining accelerates the development of reversible computing hardware. But to do this, I needed to construct my own cryptographic algorithm. Unfortunately, I was unable to thoroughly investigate the cryptographic security of mining algorithms before launching Circcash. I decided that it was best to develop some of my own techniques for evaluating the cryptographic security of Circcash including LSRDRs, normal forms, and other techniques, but I still have not completely investigated Circcash using LSRDRs since I need more computational power to reduce the dimension of collections of 2^32-1 by 2^32-1 matrices.
But it looks like LSRDRs and similar algorithms have other uses (such as producing word embeddings, graph/hypergraph embeddings, etc), and I expect to expand the capabilities of algorithms like LSRDRs.
Here is a post that I have made about how we still need to calculate LSRDRs of cryptographic functions to evaluate the cryptographic security of these cryptographic functions:
Since Circcash mining will accelerate the development of more advanced AI, it is a good idea to use the knowledge that I have produced by trying to investigate the cryptographic security of Circcash to try to get reversible computing to be used for good. Here is a post about how Circcash needs to be used to advance AI safety instead of just computational power.
I have originally developed LSRDRs to investigate the cryptographic security of the mining algorithm for the cryptocurrency Circcash and compare Circcash mining with similar mining algorithms. I launched the cryptocurrency Circcash so that Circcash mining accelerates the development of reversible computing hardware. But to do this, I needed to construct my own cryptographic algorithm. Unfortunately, I was unable to thoroughly investigate the cryptographic security of mining algorithms before launching Circcash. I decided that it was best to develop some of my own techniques for evaluating the cryptographic security of Circcash including LSRDRs, normal forms, and other techniques, but I still have not completely investigated Circcash using LSRDRs since I need more computational power to reduce the dimension of collections of 2^32-1 by 2^32-1 matrices.
But it looks like LSRDRs and similar algorithms have other uses (such as producing word embeddings, graph/hypergraph embeddings, etc), and I expect to expand the capabilities of algorithms like LSRDRs.
Here is a post that I have made about how we still need to calculate LSRDRs of cryptographic functions to evaluate the cryptographic security of these cryptographic functions:
https://github.com/jvanname/circcash/issues/10
Since Circcash mining will accelerate the development of more advanced AI, it is a good idea to use the knowledge that I have produced by trying to investigate the cryptographic security of Circcash to try to get reversible computing to be used for good. Here is a post about how Circcash needs to be used to advance AI safety instead of just computational power.
https://github.com/jvanname/circcash/issues/13
Yes. I am looking for investors in Circcash, and I am willing to consult on the use of LSRDRs and similar algorithms in machine learning.