Skip to content(if available)orjump to list(if available)

Caveat Prompter

Caveat Prompter

2 comments

·October 13, 2025
Visit

fluxusars

This is no different from reviewing code from actual humans: someone could have written great looking code with excellent test coverage and still have missed a crucial edge case or obvious requirement. In the case of humans, there's obvious limits and approaches to scaling up. With LLMs, who knows where they will go in the next couple of years.

ofrzeta

Even that screenshot is bogus. When there's no understanding there can be no misunderstanding either. It's misleading to treat the LLM like there is understanding (and for the LLMs themselves to claim they do, although this anthropomorphization is part of their success). It's like asking the LLM "do you know about X?" It just makes no sense.