François Chollet+ Your Authors @fchollet Deep learning @google. Creator of Keras, neural networks library. Author of 'Deep Learning with Python'. Opinions are my own. Dec. 28, 2019 1 min read + Your Authors

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.


You can follow @fchollet.



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