Teaching and Mentoring the AI Scientists

          @misc{ scivideos_PIRSA:25040066,
            doi = {10.48660/25040066},
            url = {https://pirsa.org/25040066},
            author = {Qi, Xiaoliang},
            keywords = {},
            language = {en},
            title = {Teaching and Mentoring the AI Scientists},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2025},
            month = {apr},
            note = {PIRSA:25040066 see, \url{https://scivideos.org/index.php/pirsa/25040066}}
          }
          

Abstract

In the past two years, the LLM has made significant progress in math and reasoning, but it has not been applied widely in scientific research tasks. In this talk I will give a brief introduction to our on-going efforts on building the first AI scientist platform, where all researchers in different fields can contribute to teaching the AI scientists via contributing benchmarks and contributing specialized tools. We believe that by providing AI with the real-time updates of benchmarks and research tools, we are starting to enter an era with innovation driven by new types of human-AI collaboration.