My hypotheses are:

1. Some companies found a way to promote this type of blog articles past a certain threshold to stay on the front page long enough for... profits?

2. The demography of HN has changed substantially in recent times so that copypasta articles that don't add anything new to existing, better sources are actually valuable to them.

Edit: typo.

I'm inclined to agree. I've been meaning to take the time to implement a CNN from scratch, I went right to this article hoping it would have some code but no, just the same content over again.

I didn't implement a CNN from scratch, but a few years ago, I wrote a blog post on CNNs [1] because, like the other commenters, I could find almost no decent blog content on what exactly a CNN was. Maybe it will help in your efforts.

[1] http://gregorygundersen.com/blog/2017/02/24/cnns/

this seems really good. I always like to read code cause it gives a better idea how things works under the hood. when I first wrote a toy neural network I read everything I could on the topic, plus I was taking a ML class where the teacher was a big fan of implementing things from scratch.

If you want to implement a CNN from scratch, wouldn't you prefer an article that describes how it works, rather than an article that just gives you the code? Otherwise it's more a process of copying from a source moreso than implementing from scratch.

I guess you could look at a popular framework such as pytorch and try to figure our from the code how cnn is implemented