[dick_sucker2]

The redditors in /r/machinelearning have shot this idea down many times. A few common arguments:

1) It costs more and isn't as performant as tuned machines. 2) The training data is very valuable and shouldn't be shared on a blockchain and restricted to a closed network.

Maybe there is one advantage though. Crypto people have bought up all the GPU's.

[grosjona]

1) There are many possible implementations. Right now the problem is that very few software engineers understand blockchain sufficiently so that they can design efficient solutions. There is always an overhead when coupling a service to a blockchain but it can be minimal if done correctly.

2) People get paid to provide quality training data... So yeah it's valuable but if there is a built-in financial incentive to share data with the system then people will do it. Also, other people could get paid to verify/curate the training data. The system just needs to setup the right incentives.

[dick_sucker2]

Why would Tesla share valuable training data with Ford?