Interpretability Is the Key to Physical AI, Says World Mechanics CEO Sonia Joseph
Two of the hardest problems in AI right now are creating models that understand the physical world—so called world models—and making sense of the internal workings of AI models—otherwise known as mechanistic interpretability. Typically, these are treated as two separate problems: researchers working on world models are often not concerned with their internal workings, and interpretability researchers tend to focus on the language models that power most AI tools we currently...