AI Came for Math. Now It’s Chasing the Rest of Science
A new MIT study finds that AI models are rapidly improving at solving theoretical problems beyond mathematics, now tackling fields like probability, economics, cosmology and quantum physics, with success rates projected to jump from 2% to 35% by 2026. The research, which tested closed‑source OpenAI models on recent papers without internet access, warns that AI could dramatically reshape scientific theory while also raising verification and ethical concerns.