> That's the popular story behind neural networks. Like any good popular explanation of a STEM concept, it's as useful as it is inaccurate. To be fair, our own

> That's the popular story behind neural networks. Like any good popular explanation of a STEM concept, it's as useful as it is inaccurate. To be fair, our own understanding of "how it works" in practice is not necessarily set in stone. Approximating our belief in how it works is the best case scenario, and expecting it to perfectly mirror human reasoning is unrealistic and frankly not all that appealing from a problem-solving stance. Human reasoning has a lot of built-in buffers and fault tolerance, and it is, itself, a fairly narrow AI.