Code that does not work is just text.
No the spell just fizzled. In my experience it happens far less often if you start with an Abra kabara and end it with an Alakazam!
Yeah, the Abra kabara init and Alakazam cleanup are an important part, specially until you have become good enough to configure your own init.
There is an alternative init, Abra Kadabra, which automatically adds a cleanup and some general fixes when it detects the end of the spell.
The image is taken from Zhihu, a Chinese Quora-like site.
The prompt is talking about give a design of a certain app, and the response seems to talk about some suggested pages. So it doesn’t seem to reflect the text.
But this in general aligns with my experience coding with llm. I was trying to upgrade my eslint from 8 to 9, and ask chatgpt to convert my eslint file, and it proceed to spit out complete garbage.
I thought this would be a good task for llm because eslint config is very common and well-documented, and the transformation is very mechanical, but it just cannot do it. So I proceed to read the documents and finished the migration in a couple hour…
I asked ChatGPT with help about bare metal 32-bit ARM (For the Pi Zero W) C/ASM, emulated in QEMU for testing, and after the third iteration of “use printf for output” -> “there’s no printf with bare metal as target” -> “use solution X” -> “doesn’t work” -> “ude printf for output” … I had enough.
Sounds like it’s perfectly replicated the help forums it was trained on.
