The answer you’ve been searching for, in a nutshell.
This article will take you through a journey inside the mind of a person who has no/little experience when it comes to this topic before gaining a (somewhat) comprehensive understanding of ‘Artificial Intelligence’ (AI).
This journey will be broken down into 3 different parts:
Part (1): How will AI intelligence supersede human intelligence
Part (2): When will AI intelligence overtake the human race
Part(3): What if a digital superintelligence has successfully been created and for some reason, it wants to take over the world. Will it be able to do so?
FYI: This article focuses on Part (1).
Before we start, I would like to clear a general misconception about the concept of AI. As nicely summarised by Tim urban:
Stop thinking of robots. A robot is a container for AI, sometimes mimicking the human form, sometimes not — but the AI itself is the computer inside the robot. AI is the brain, and the robot is its body — if it even has a body. For example, the software and data behind Siri are AI, the woman’s voice we hear is a personification of that AI, and there’s no robot involved at all.
How did it all start?
The term “artificial intelligence” was coined in 1956 by John McCarthy, a researcher who later founded AI labs at MIT and Stanford.
In the early 1950s, the study of “thinking machines” had various names like cybernetics, automata theory, and information processing. McCarthy wanted a new, neutral umbrella term that could collect and organize these disparate research efforts into a single field focused on developing machines that could simulate every aspect of intelligence.
During the early days, the pioneers of AI did not believe that machines could behave intelligently and definitely did not consider the possibility that machines will eventually far surpass all the intellectual activities of any man!
However, when the results proved to be astonishing– computers being able to solve numerical problems, invent mathematical proofs that were more elegant than the original, follow instructions and answer questions in English, organizations like DARPA poured tens of millions of dollars into AI projects at MIT, Carnegie Mellon, Stanford!
Over the years, as the cost of computing started declining and processing power got more powerful, AI…
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