Controversial and complex topics typically require extensive dialogue—often involving dozens of rounds of argument and rebuttal. However, nlite limits this process to just two rounds: an initial argument followed by a counterargument. This restriction may prevent users from fully unpacking nuanced issues.

Large Language Models (LLMs) are rapidly improving in their ability to reason and conduct research. With these advancements, it's possible to generate high-quality arguments more efficiently and without relying on crowdsourced input—making platforms like nlite less necessary.