Is this a joke? Can’t tell. OpenAI uses PyTorch to build LLMs
To someone who already knows excel, from scratch with excel sheets instead of python may work with them.
Although if your claim is then that most programmers do not care about being effective, that I would tend to agree with given the 64 gigs of ram my basic text editors need these days.
While I agree it's good to know how your collections work. "Efficient key-value store" may be enough to use it effectively 80% of the time for somebody dabbling in Python.
Sadly I've met enough people that call themselves programmers that didn't even have such a surface level understanding of it.
Calling that from scratch is like saying "Just go to the store and tell them what you want" in a series called: "How to make sausage from scratch".
When I want to know how to do X from scratch I am not interested in "how to get X the fastest way possible", to be frank I am not even interested in "How to get X in the way others typically get it", what I am interested in is learning how to do all the stuff that is normally hidden away in dependencies or frameworks myself — or, you know, from scratch. And considering the comments here I am not alone in that reading.
For example, building a web server from scratch - I’d probably assume the presence of a sockets library or at the very least networking card driver support. For logging and configuration I’d assume standard I/o support.
It probably comes down to what you think makes LLMs interesting as programs.
E.g. when a title says it shows you how to do a thing in vanilla javascript from scratch bringing in jquery in the first step makes that tile a lie. If you bring in a hefty dependency on step 1 and run three imported function the vanilla javascript part might be fine, but the from scratch starts to do some heavy lifting.