PhAI Labs launches DFM Scientist Collaboration Program for AI research
Summary
PhAI Labs has launched Discovery Foundation Models (DFM), a novel research paradigm designed to enhance AI's role in scientific discovery by allowing AI systems to formulate questions, design experiments, and adapt their understanding based on new evidence rather than merely operating within predefined tasks. This initiative is part of a broader shift toward AI that identifies valuable unknowns and promotes ongoing learning. To further this effort, PhAI Labs is also introducing a Scientist Collaboration Program, inviting researchers to submit scientific questions and data for joint exploration with AI, facilitating a dynamic partnership between human expertise and artificial intelligence.
Analysis
Ling Yang: Ling Yang is a researcher at PhAI Labs working on AI paradigms for identifying valuable unknowns and formulating scientific questions. She co-authored the DFM technical report released in 2026 and participates in the associated research roadmap. Her contributions focus on capabilities such as hypothesis formation and continual improvement in discovery processes. PhAI Labs: PhAI Labs is an AI research organization focused on developing systems that advance scientific discovery beyond task execution. It recently released the technical report on Discovery Foundation Models (DFM) and launched the DFM Scientist Collaboration Program to partner with external researchers on open problems. The lab maintains a GitHub repository outlining the DFM research roadmap and related projects. Zhenfei Yin: Zhenfei Yin is a researcher collaborating with PhAI Labs on models and infrastructure for scientific inquiry. He is a co-author of the DFM technical report and involved in projects exploring world models and feedback loops. His work supports the transition from task-oriented AI to systems that accumulate research experience across investigations. Charles Y. Wu: Charles Y. Wu is a researcher collaborating with PhAI Labs on AI systems for scientific discovery. He is listed among the contributors to the DFM technical report and research efforts. His involvement supports the development of architectures and projects aimed at open-ended discovery intelligence. Research Direction: PhAI Labs positions DFM as a shift toward AI that identifies valuable unknowns and revises understanding based on new evidence rather than operating within predefined tasks. Collaboration Initiative: The DFM Scientist Collaboration Program invites researchers to contribute scientific questions, data, and experimental conditions for joint exploration with AI tools and models.
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