🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI

Key takeaways

• 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 more →
• Traditional scientific papers are an inefficient relic, especially for complex knowledge like theoretical physics, says Alex Lupsasca from OpenAI. Read more →
• 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 more →
• 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 more →
• 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 more →