Biomedical researcher hails GPT-5 science acceleration paper with OpenAI as his most consequential work
DeryaTR_ · x · 2026-10-19
Veteran biomedical researcher Derya Unutmaz (Nature/Science author) reflects on his co-authored paper with OpenAI, "Early Science Acceleration Experiments with GPT-5" (arXiv:2511.16072), calling it among the most consequential of his career.
- The paper collected case studies where GPT-5 produced concrete new research steps across math, physics, astronomy, CS, biology and materials science, including four human-verified new mathematical results.
- A year on, he notes the trend accelerating: OpenAI has released AI-generated results on hundreds of longstanding math problems, with other labs making their own breakthroughs.
- He predicts these capabilities will soon reach engineering, materials, energy and especially biology/medicine, potentially compressing decades of scientific progress into years or months.
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