AI for Science Demands More Than Data: The Case for Reasoning
The prevailing approach to applying artificial intelligence in scientific research has relied heavily on data-driven methods—feeding massive datasets into models and extracting statistical patterns. However, a growing body of discussion in the research community suggests this paradigm is insufficient for advancing fundamental scientific understanding.
Scientific discovery requires more than