AI reasoning models’ usefulness for conceptual search

One user frames discovery as two problems: knowing the prerequisite ideas, which they call coverage, and selecting and combining the right ones, which they call search. The difficulty, they say, is knowing which is the bottleneck. They argue that AI reasoning models and swarms are useful for conceptual search, making it possible to empirically rule out insufficient searching and shift attention toward developing new prerequisite ideas.