sedictious

You are right and I get the point (I have also worked on some solutions, though it's not my expertise), it's just that usually the people creating the ML model are supposed to substitute the creativity that the model itself does not offer. You run the model, see the false negatives and start thinking of what is missing, if there is also information that can be represented differently or can be compressed, if there is some other approach entirely. Good ML ultimately requires having deep expertise of your domain and can sometimes lead to deeper insight.

With LLM you unlock a whole new world of possibilities regarding the speed and result but we are also finding ourselves in a position where "asking the LLM" because the cheat for everything, no reason to dig further

I am curious how this things perform compared to a "classical" neural networks. Tasks like image classification, feature extraction has been studied extensively and there were a lot of very cool applications before (medicine included). The biggest obstacle was always data but even that could have been partly automated with some semi-supervised learning schemes. Of course the Bitter Lesson applies here, given a big enough model, it can outperform specialised ones, but at this point it's not clear 1) By how much? 2) If this is even true in the first place or if we have the means to train much leaner networks

It is becoming a boring homogenous world where we are trading deep expertise with being able to query the magic box

I love AI adding stuff like "in my experience" in a vain attempt to mask the fact it's bot written, as if this is what is missing

This looks like a pointless polemic more than any valid critique - I would be interested in taking a look at the prompts that produced this angry slop article.

Zig foundation is a non-profit with their mission being educating the "next generation of programmers". They decided against AI usage and I for one am grateful for a last corner on the internet that caters to the craft as opposed to literally every other community that has been reduced to discussing agent loops.

Again, ignoring the AI fingerprints of the article, all the criticism boils down to it being a project catering to different needs. You are free to fork it, name it Zag and run Claude on it to create the language of your dreams.