Present-day artificial intelligence can impress, surprise, and even outperform humans in narrow domains. Yet again and again, it stumbles when circumstances broaden or change. This blog looks beyond data, scale, and algorithms. It argues that the true generalization problem in A.I. is not technical at heart, but concerns meaning, inner coherence, and depth. This blog Read the full article…