NOVA: Fundamental Limits of Knowledge Discovery Through AI

The NOVA framework models AI knowledge discovery as an adaptive sampling process, identifying conditions for genuine knowledge accumulation and common failure modes like contamination and forgetting. It highlights a "contamination trap" where invalid artifacts can accumulate faster than genuine discoveries as easy-to-find knowledge is exhausted, even with small false-positive rates.