The only barrier for higher stakes applications is going to be the frequency of errors. IE, "The only barrier to the software working perfectly is it's tendenc

The only barrier for higher stakes applications is going to be the frequency of errors. IE, "The only barrier to the software working perfectly is it's tendency to fail". Which is to say this sort of argument effectively assumes, without proof, that are no structural barriers to improving neural network performance in the real world. The thing is, the slow progress on self-driving cars shows that reducing the "frequency of errors" can turn from a simple exercise in optimizing and pumping in more data to a decades long debug process.