OpenAI dropped a new benchmark called FrontierScience to see if AI models can actually do expert-level scientific reasoning in physics, chemistry, and biology. Unlike older benchmarks that just test multiple-choice fact recall, FrontierScience has two tracks: Olympiad-style problems and open-ended research tasks that mimic real scientific work. The results show GPT‑5.2 leading the pack with 77% on the Olympiad track but only 25% on the Research track — a sign that AI still struggles with the messy, creative side of science. Meanwhile, GPT‑5 jumped from a 39% score on the GPQA benchmark two years ago to a staggering 92% now, proving models are getting way better at hard science questions. The big deal here is that FrontierScience is built by PhD experts and designed to be tough enough that even top models have room to grow. Why it matters: This benchmark finally gives us a meaningful way to measure whether AI can actually help scientists speed up discoveries, not just ace trivia tests.