Whoa interesting, thanks for sharing! For more niche, esoteric topics, it's interesting to see the opposite ends of LLMs knowing too much (or at least pretending to know too much) yet too little while trying to simulate real people.

Too much in that it's unlikely that this many real people would immediately grasp your post and be directly excited by it (e.g. 'This is exactly what I've been looking for!') yet too little (e.g. discerning between a disassembler and the opposite of a linker).

Real HN readers would have vastly different levels of contextual knowledge and excitement, which we want to simulate with more specific agents mapping to real HN readers with different interests and areas of expertise.