The Huge Power and Potential Danger of AI-Generated Code Being Used in the Wrong
In June 2021, GitHub announced Copilot, a kind of auto-complete for computer code powered by OpenAI's text-generation technology. It provided an early glimpse of the impressive potential of generative artificial intelligence to automate valuable work. On average, they accepted the AI assistant's suggestions about 30 percent of the time, suggesting that the system is remarkably good at predicting useful code. The researchers found that programmers getting AI suggestions tended to include more bugs in their final code-yet those with access to the tool tended to believe that their code was more secure.“More code isn't better code. When you consider the nature of programming, that finding is hardly surprising. According to the authors, this finding is quite unsurprising.
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