Natural Language Programming AIs are taking the drudgery out of coding
Just as GPT-3.5 serves as a foundational model for ChatGPT, Codex serves as the basis for GitHub’s Copilot AI. Trained on billions of lines of code assembled from the public web, Copilot offers cloud-based AI-assisted coding autocomplete features through a subscription plugin for the Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments .
Salva notes that prior to Copilot’s release, GitHub’s previous machine-generated coding suggestions were only accepted by users 14 - 17 percent of the time, “which is fine. It means it was helping developers along.” In the two years since Copilot’s debut, that figure has grown to 35 percent, “and that's netting out to just under half of the amount of code being written [on GitHub] — 46 percent by AI to be exact.
As with the outputs of natural language generators like ChatGPT, the code coming from Copilot is largely legible, but like any large language model trained on the open internet, GitHub made sure to incorporate additional safeguards against the system unintentionally producing exploitable code. That auditing step is meant to improve the quality of recommended code over time rather than monitor or police what the code might be used for. Copilot can help developers create the code that makes up malware, the system won’t prevent it. “We've taken the position that Copilot is there as a tool to help developers produce code,” Salva said, pointing to the numerous White Hat applications for such a system.
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