How can people look at LLM-generated code and think "this is mine, I made this" is beyond me.
How can people look at LLM-generated code and think "this is mine, I made this" is beyond me.
I'd like to add: we can't know a priori what will be needed to be known and what can safely remain behind an abstraction you just use.
That is revealed when our mental models grind against reality. Avoiding that friction at all costs is a problem because it will happen and you'll be unprepared when it becomes unavoidable.
Trusting some abstractions that have earned it but not all is how we deal with it. Limit your focus, and adapt. If you just trust all abstractions thrown in front of you until something breaks irreparably, you will be (person or organization) between a rock and a hard place and without any knowledge or skill on how to get out of that predicament.
That to me is the biggest risk in accepting the fallacy of general automation.
Imagine a coworker writes some decent C code, but then at a meeting they start taking credit for the bytecode and the default optimizations done by the compiler.
That's analogous to people who write LLM prompts and then claim the same level of authorship over the code which was all generated and edited on an indirect level.