🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
Alex Lupsasca from OpenAI discusses how GPT models have achieved superhuman capabilities in theoretical physics, detailing two groundbreaking papers on gluon and graviton scattering amplitudes where AI solved problems that stumped human experts. He explores the transformative impact of AI on research methodologies and the future of scientific publishing, while also addressing questions of AI's creativity and its role in scientific discovery.
- Alex Lupsasca from OpenAI reveals AI, once primarily a "super competent physicist" for calculations, is rapidly gaining the capacity to define novel research questions, matching human experts. Read →
- Traditional scientific papers are an inefficient relic, especially for complex knowledge like theoretical physics, says Alex Lupsasca from OpenAI. Read →
- OpenAI's GPT models resolved a physics puzzle that stumped human experts for over a year: defining single-minus gluon tree amplitudes. These specific interactions were long assumed to be impossible. Read →
- Alex Lupsasca, a researcher at OpenAI, initially doubted AI's ability to tackle complex scientific problems, believing it was limited to simple tasks like email. Read →
- AI 'Crushes' Foundational Problems: OpenAI's Alex Lupsasca notes that AI models can solve problems traditionally given to physics grad students to build confidence. This forces a rethinking of how the next generation truly learns and builds expertise when the "easy stuff" is automated. Read →