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Is AI Development Moving In the Wrong Direction? (hackaday.com)
szczys writes: Artificial Intelligence is always just around the corner, right? We often see reports that promise near breakthroughs, but time and again they don't come to fruition. The cause of this may be that we're trying to solve the wrong problem. Will Sweatman took a look at the history of AI projects starting with the code-breaking machines of WWII and moving up to modern efforts like IBM's Watson and Google's Inceptionism. His conclusion is that we haven't actually been trying to solve "intelligence" (or at least our concept of intelligence has been wrong). And that with faster computing and larger pools of data the goal has moved toward faster searches rather than true intelligence.
I think the problem is that people expect machine intelligence to look like human intelligence. Machine intelligence exists and is strong in some areas. Modern chess programs are an example. They can play unique games and be stronger than any human player. Yes, they are given the rules of chess and machines did not invent chess. But they have passed beyond human abilities and it is at the point where some programs are coded to only make move patterns that humans would tend to make. Learning how to adapt machine intelligence to our real world problems is challenging. But we are in for a fright when computers get really good at analyzing human problems and applying better solutions that we now have at hand.