Deepmind’s AI Is Learning About the Art of Coding

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AlphaDev has made small but significant improvements to decades-old C++ algorithms. Its builders say that’s just the start.

of computer science, there is perhaps no more fundamental task than to sort. Bubble, heap, merge—take your pick. The methods for reordering data inside a computer have been theorized to death, served as practice exercises for millions of novices, and been optimized for decades by expert developers. Type a sort function in any programming language, and it’s code you can rely on. Don’t touch it. It already works great.

The experiment worked. Since April of last year, C++ has been running slightly faster, thanks to a new set of AI-concocted sorting algorithms. But according to AlphaDev’s engineers, who, that’s just the first step. “We want to optimize the entire computing stack,” says Daniel Mankowitz, a staff research scientist at Deepmind who led the sorting project. Mankowitz says that AlphaDev has already improved algorithms not just for sorting, but also for other basic tasks like hashing.

 

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