ScienceBuddy is an independent research and engineering exploration built around interaction with scientists, research feedback and the continual improvement of agents, in the Discovery Intelligence direction DFM is about.
It focuses on an interactive form of Science RSI: a user poses a scientific question, the agent calls tools and answers; the scientist's follow-ups, edits, acceptances, rejections and re-runs become feedback that drives the research agent's workspace and harness to keep evolving.
What ScienceBuddy produces is not only one-off answers but the feedback, research trajectories, tool calls and task states of the interaction. In future these can be organised into reusable scientific tasks and environments for reinforcement learning or other model training.
ScienceBuddy takes in and structures scientific questions, data needs, research materials, literature and code, scientific tool calls, hypothesis formation and testing, and what the following research workflow needs.
An early product / research preview: the capabilities opened, demonstrations and entry points follow the actual version. The product entry opens on 16 September.