> But if you could instead just write a (subset of a) SVG parser and renderer as simply as you'd write it in any other programming language, but where the compi

> But if you could instead just write a (subset of a) SVG parser and renderer as simply as you'd write it in any other programming language, but where the compiler instead creates a chain of conditional probability distributions that can be traversed with gradient descent, you can reach a highly reliable predictive model with significantly less training time and data. It's a balance between engineer time (headcount costs) and training time/costs (infra costs.) Usually engineer time is more valuable than training costs. Embedding engineers into teams and building cost models is one of those cases where probabilistic programming makes a lot more sense than a DL approach, but most situations favor the economics of a DL approach.