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For any task in ARC, it's possible for a human to write a reasonably short computer program that can handle new pairs. Everything is straightforwardly computable -- unlike, say, classifying MNIST digits. There's no human advantage in any single task.https://github.com/fchollet/ARC
Yet, there's currently no program that can solve a *new* ARC task. Such a program would be an incredible breakthrough in artificial intelligence. The ability to look at a new ARC task and come up with a solution program is, as of yet, uniquely human.
A task-specific solution program has no intelligence of its own. It's merely the output artifact of the process of intelligence. "Intelligence" is what happens in the mind of the 5-year-old kid who, looking at a *new* task, understands it and develops a solution protocol.
The single biggest misconception in AI is the confusion b/t unintelligent output artifacts (skill programs) & the process that generates them. "Artificial intelligence" has been focusing purely on task-specific automation, entirely disregarding intelligence. Time to change that.
those who are interested in this might want to check out our work on ‘cognitive programs’ where abstract concepts are learned as programs on a ‘visual cognitive computer’. And yeah, it transfers between tasks. https://www.vicarious.com/2019/01/18/a-thought-is-a-program/ …
Amazing work. Totally impressed.
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