The problem with people that think they're too smart is that they usually lack theory of mind

This crap is transparent. A person actually solving the problem won't type that fast or not think silently about it. And even better, the LLMs usually get stuck in a snag on some of the problems, or they write weird snippets

(though this might bring down the number of interviewers asking for leetcode)

Interesting approach. The effectiveness of any AI, especially in nuanced scenarios like interviews, hinges on how well its underlying knowledge is structured. For an 'invisible AI interviewer' to ask relevant, probing questions, it needs more than just data—it requires a structured understanding of the domain.

I've found that applying MECE principles (Mutually Exclusive, Collectively Exhaustive) to knowledge domains dramatically improves AI performance in complex tasks. It ensures comprehensive coverage without redundancy, allowing the AI to navigate concepts more effectively. This seems particularly relevant for assessing candidate depth versus breadth.