Extending single-minus amplitudes to gravitons

A new preprint from OpenAI extends the concept of single-minus amplitudes to gravitons, a step forward in quantum gravity research. According to the OpenAI Blog, the work involved deriving and verifying nonzero graviton tree amplitudes, with significant assistance from GPT-5.2 Pro. This marks an instance of AI contributing directly to theoretical physics—specifically, by helping to compute complex scattering amplitudes that are foundational to our understanding of gravity at quantum scales. For developers and solopreneurs building AI workflows, this demonstrates how large language models can be leveraged not just for code generation or content creation, but for exploring high-level scientific problems. The implication is that AI tools can act as research assistants, automating or accelerating parts of the discovery process. While the preprint is academic in nature, it signals a practical trend: AI models are becoming capable of handling abstract, mathematically intensive tasks. Those building AI workflows might consider integrating similar reasoning capabilities into their own systems, especially for domains like data analysis, simulation, or even creative problem-solving where formal logic is required.