Using quarterly KPI algorithms to chase Copernicus is indeed a bit challenging.

ME News Report, May 17 (UTC+8), RLVR (Reinforcement Learning and Verification) may exhibit disproportionate flaws in the validation of scientific theories.
The validation cycle for scientific theories can last decades or even centuries, and theories currently considered more optimal often make worse predictions.
This contradiction reveals a fundamental conflict between the short-term feedback-based reinforcement learning paradigm and the long-term, complex nature of scientific exploration, highlighting the structural limitations of existing AI methods when dealing with tasks involving ultra-long feedback cycles such as scientific discovery.
(Source: AiHot)