I'm generally interested in enabling self-improving AI, including AI for model, software, and hardware design. I believe that recursive self-improvement is the path to general intelligence. I highlight some of our projects below, but please visit Scaling Intelligence's publications, blogposts, and GitHub pages for a comprehensive list of projects, including test-time scaling methodologies, multi-model AI systems, inference optimization, AI-based verification, AI for software, long-context optimization, and more.
Highlights:
Publications:
For a full list of recent papers, blogposts, code, and dataset pointers, visit my lab webpage. For a comprehensive list of publications, please visit my Google Scholar page.