Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)…
Today’s supervised learning software has an Achilles’ heel: It requires a huge amount of data. You need to show the system a lot of examples of both A and B…
So what can A?B do? Here’s one rule of thumb that speaks to its disruptiveness:
If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.
