Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.

Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.

  • lysdexic@programming.devEnglish
    2·
    3 months ago

    Claude is laughable hypersensitive and self-censoring to certain words independently of contexts (…)

    That’s not a problem, nor Claude’s main problem.

    Claude’s main problem is that it is frequently down, unreliable, and extremely buggy. Overall I think it might be better than ChatGPT and Copilot, but it’s simply so unstable it becomes unusable.