  Research and applications in Machine Learning are limited by computational
resources, while 1% of the world's electricity goes into calculating 34 billion
billion SHA-256 hashes per second, four orders of magnitude more than the 200
petaflop power of the world's most powerful supercomputer. The work presented
here describes how a simple soft fork on Bitcoin can adapt these incomparable
resources to a global distributed computer. By creating an infrastructure and
ledger fully compatible with blockchain technology, the hashes can be replaced
with stochastic optimizations such as Deep Net training, inverse problems such
as GANs, and arbitrary NP computations.
