Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics 事件

Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics arXiv:2606.06533v1 Announce Type: cross Abstract: What would it mean to have a scientific understanding of AI? Models are not static objects: they are snapshots of time-evolving processes shaped by data, objectives, architectures, and optimization dynamics. Yet much of AI research treats models as fixed artifacts, analyzing behaviors after training rather than asking why they emerge. This position paper argues t