> that will prove him wrong I'm skeptical of claims about a one-shot learning silver bullet, unless people are talking about something different from how it ha

> that will prove him wrong I'm skeptical of claims about a one-shot learning silver bullet, unless people are talking about something different from how it has been classically presented, .e.g. Patrick Winton's MIT lectures. Yes, you can learn from a few examples, but only because you've imparted your expert knowledge, maintain a large number of heuristics, control the search space effectively, etc. There's a lot of domain-specific work required for each system, so I consider it more an approach of classical AI and not something that figures out everything from the data alone, like deep learning. But again, maybe people are talking about something different than my above description when they talk about one-shot learning today. Either way, I don't think having to rely on a lot of domain specific knowledge is necessarily a bad thing.