According to OpenAI on Twitter, GPT-5.2 derived a new theoretical physics result showing that a gluon interaction many physicists expected would not occur can arise under specific conditions, with a preprint coauthored by researchers from the Institute for Advanced Study, Vanderbilt University, the University of Cambridge, and Harvard (source: OpenAI Twitter, Feb 13, 2026). As reported by OpenAI, the finding indicates large-language-model assisted symbolic reasoning can generate publishable insights in high-energy theory, suggesting commercial opportunities in AI-for-science platforms, automated theorem discovery, and accelerator design workflows. According to the OpenAI announcement, the result will be released as a preprint, enabling independent verification and creating a benchmark for enterprise-grade scientific copilots that combine LLM reasoning with physics-informed constraints and formal checking.

According to Demis Hassabis on X, Gemini 3 Deep Think blends expert-level scientific domain knowledge with engineering utility to assist researchers across mathematics, physics, and chemistry, with Prof. Lisa Carbone showcasing complex research workflows powered by the model (source: Demis Hassabis on X). As reported by the X post, the system is positioned for rigorous problem solving and stepwise reasoning in scientific domains, indicating practical applications like theorem exploration, symbolic manipulation, and experiment design support for academic and industrial R&D. According to the same source, these capabilities suggest measurable productivity gains for research teams, creating business opportunities for labs, AI-first scientific tooling vendors, and enterprise R&D groups seeking domain-accurate model reasoning and reproducible outputs.