https://thenextweb.com/contributors/2018/05/30/why-the-leap-to-general-ai-still-cant-happen-yet/

There’s a massive gap in the world of artificial intelligence (AI), and we haven’t been able to cross it successfully. Some developers refer to it as a move from “narrow” to “general” AI, while others describe it as a move from “weak” to “strong” AI.

However you describe it, the premise is approachable, even for non-experts. Most of the AI we use on a daily basis is narrow, meaning it’s specifically programmed to accomplish one task or group of tasks. Google’s AlphaGo, for example, is rooted in a deep learning framework that could be applied to many tasks, but it is specifically trained to excel in the game of go. It can’t play chess, categorize images, or drive a car.