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> In principle, it would be very interesting to make this work: Train a network on today's machines, and execute (run) it on a very old (slow) machine. We do something similar all the time: train networks in the cloud and convert the resulting model to run on mobile devices. To be honest, the classical chess engine is an expert system, which aren't really the current direction of the field and so probably aren't going to tell you that much about future hardware-software tradeoffs. For example, although the article says he used a 2020 chess engine, he used SF8 which is from 2016, and the current version (12) uses a NN-based approach which apparently beats the previous version 10 to 1.