The Difficulty of Understanding the Scope of Innovation and the Law of Accelerating Returns

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Artificial Superintelligence: here (for now) we are in science fiction, well beyond the supercomputer HAL 9000 of 2001: A Space Odyssey . In this case, therefore, we are talking about a device capable of doing practically anything better than a human being.
Here, with Google RankBrain we are stuck at the first point, that is, Artificial Narrow Intelligence. Together with it we find the anti-spam filter of your email, the algorithm used by Amazon to propose you products in cross-selling and so on.

You might think that, as far as artificial intelligence goes, this first group is a bit limited. But be careful, because this section also includes driverless cars , in which the AI ​​has only one specific task: driving. But we certainly what makes overseas chinese in australia data valuable asset wouldn't want to put a self-driving car on the same level as a simple anti-spam filter, which in most cases doesn't even work properly, right? Well, in reality, if viewed within their respective fields of application, both innovations are equally revolutionary and – as it's so cool to say in English – equally 'disruptive'.


The problem is that, when it comes to innovation and therefore the future, we humans are never good at truly understanding the scope of innovation, especially in the field of artificial intelligence. This concept is masterfully explained by Tim Urban on WaitButWhy.com, where he explains that progress follows a line similar to this.