A collaborative effort between physicists and the AI model GPT-5.2 has led to significant advancements in theoretical physics, focusing on gluon scattering amplitudes. Traditionally, calculations relied on complex Feynman tree diagrams, which increase exponentially with additional particles. Surprisingly, researchers discovered that single-minus tree amplitudes, previously believed to be impossible, can occur under specific arrangements called half-collinear configurations. This breakthrough was first suggested by GPT-5.2 and later verified by human physicists, resulting in simpler formulas for calculating scattering amplitudes. However, the study also raised concerns about AI’s reliability in theoretical physics, as instances of AI producing plausible but incorrect results have been noted. Critics caution that while AI can assist in generating research insights, it remains fallible and requires human oversight to ensure accuracy. As AI integration in science progresses, it highlights both its potential and pitfalls, urging a balanced approach to its application in research.
Source link
