Samim Winiger, an AI researcher in Berlin, told CNBC that every good computer programmer knows that it is essentially impossible to create "perfect code." In a separate research paper published on Friday, DeepMind said it had tested its software against OpenAI's technology and it had performed similarly. Hundreds of developers at GitHub have been using the Copilot feature all day while coding, and the majority of them are accepting suggestions and not turning the feature off, Friedman said. The software makes coding faster, Friedman told CNBC. As programmers accept or reject suggestions, the model learns and becomes more sophisticated over time. The tool looks at existing code and comments in the current file, and it offers up one or more lines to add. Nat Friedman, CEO of GitHub, describes GitHub Copilot as a virtual version of what software creators call a pair programmer - that's when two developers work side-by-side collaboratively on the same project. The GitHub Copilot relies on a large volume of code in many programming languages and vast Azure cloud computing power. Microsoft and GitHub developed it with help from OpenAI, an AI research start-up that Microsoft backed in 2019. The system, called GitHub Copilot, draws on source code uploaded to code-sharing service GitHub, which Microsoft acquired in 2018, as well as other websites. Last June, Microsoft announced an AI system that can recommend code for software developers to use as they work. We are decades away from that."ĭeepMind is far from the only tech company developing AI tools that can write their own code. "It's not one-stop shopping that would replace an actual human programmer. "You should think of it as something that could be an assistant to a programmer in the way that a calculator might once have helped an accountant," Gary Marcus, an AI professor at New York University, told CNBC. The scientist said they believe AI coding tools like AlphaCode will likely change the nature of software engineering roles somewhat as they mature, but the complexity of human roles means machines won't be able to do the jobs in their entirety for some time.
Researchers have been trying to teach computers to write code for decades but the concept has yet to go mainstream, partly because the AI tools that are meant to write new code have not been versatile enough.Īn AI research scientist, who preferred to remain anonymous as they were not authorized to talk publicly on the subject, told CNBC that AlphaCode is an impressive technical achievement, but a careful analysis is required of the sort of coding tasks it does well on, versus the ones it doesn't. Personal Loans for 670 Credit Score or Lower Personal Loans for 580 Credit Score or Lower
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