Communications of the ACM
The End of Coding As We Know It
Much of AI research is focused on replacing human labor rather than empowering it.
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Many coders are facing a growing anxiety over the sudden advent of generative AI. Those doing the automating fear they will soon be automated themselves.
Researchers at OpenAI, which created ChatGPT, recently examined the degree to which large language models could perform tasks for various occupations, and found that one white-collar skill set is especially at risk for being automated: computer programming. The reason? Large language models like have been trained on huge repositories of code.
Researchers at Microsoft and its subsidiary GitHub recently divided software developers into two groups — one with access to an AI coding assistant, and another without. Those assisted by AI were able to complete tasks 56% faster than the unassisted ones. "That's a big number," says Ethan Mollick, an associate professor at The Wharton School of the University of Pennsylvania. By comparison, the steam engine in the mid-1800s boosted productivity at large factories by 15%.
From Business Insider
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