slunk
Joined 16 years ago
Joined 16 years ago
I may be misunderstanding this passage of the article, but I thought the author was claiming that machine learning (specifically training) was equivalent to compression, while language understanding is equivalent to decompression. Therefore, they can't be the same thing. Why does language understand have to be analogous to training an ML model rather than using an ML model for inference?
> It looks really strange to me to observe other developers constantly compiling and running their code just to see if it works. It kinda looks as if they did not exactly understand what they are doing because if they did, they would be confident the implementation works.
Explain to me how this statement doesn't apply to your use of an IDE, but the other engineers you've observed don't understand what they're doing.
Developing in an IDE that compiles almost continuously is about as far from the development philosophy you're advocating for here as one could get :P
Is it? I think you're absolutely right that naive points of view like the one you're responding to will lead to avoidable bugs, but I'm not so sure the problem is CSV so much as people who assume CSV is simple enough to parse or generate without using a library.