François Chollet
+ Your AuthorsArchive @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

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. 

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.


Tip: mention @threader_app on a Twitter thread with the keyword “compile” to get a link to it.

Enjoy Threader? Sign up.

Since you’re here...

... we’re asking visitors like you to make a contribution to support this independent project. In these uncertain times, access to information is vital. Threader gets 1,000,000+ visits a month and our iOS Twitter client was featured as an App of the Day by Apple. Your financial support will help two developers to keep working on this app. Everyone’s contribution, big or small, is so valuable. Support Threader by becoming premium or by donating on PayPal. Thank you.

Follow Threader