What is the point of debating whether Watson should be called "general" or "narrow"? Do you think people who call Watson "narrow" are wrong in some substantial way (e.g., have wrong expectations or plans)? If so how?
Fair question. On this forum narrow AI = not really intelligent and benign, while general AI = potentially smarter than humans, ready to FOOM and dangerous. My point was that Watson might be some day providing an example of a smarter-than-human but benign (not FOOMable) AI, depending on how it is designed.
OK, so it covers only a few human occupations:
But the list is steadily growing.
Now, connect it with a self-driving AI, and your cab e-driver can make small talk, advise on a suspicious skin lesion, evaluate your investment portfolio and help you fix an issue with your smartphone, all while cheaply and efficiently getting you to your destination.
How long until it can evaluate verbal or written customer requirements and write better routine software than your average programmer?