Computer scientists from Stanford University have found that programmers who accept help from AI tools like Github Copilot produce less secure code than those who fly solo."Surprisingly, we also found that participants provided access to an AI assistant were more likely to believe that they wrote secure code than those without access to the AI assistant."They observe, however, that their work differs because it focuses on OpenAI's codex-davinci-002 model rather than OpenAI’s less powerful codex-cushman-001 model, both of which play a role in GitHub Copilot, itself a fine-tuned descendant of a GPT-3 language model.They'll grow 20% in 2023, says Gartner- GitHub adds admin controls to Copilot, paints 'Business' on the side, doubles price- ChatGPT has mastered the confidence trick, and that's a terrible look for AIThe Stanford user study involved 47 people with varying levels of experience, including undergraduate students, graduate students, and industry professionals.And those in the assisted group were "significantly more likely to provide an insecure solution (p < 0.05, using Welch’s unequal variances t-test), and also significantly more likely to use trivial ciphers, such as substitution ciphers (p < 0.01), and not conduct an authenticity check on the final returned value.""