LongNet, a recently introduced Transformer variant, can scale sequence length to over 1 billion tokens without sacrificing performance on shorter sequences. This breakthrough, combined with the new AI tool Code Interpreter, could revolutionize the way we approach large-scale projects in programming. Code Interpreter allows AI models like GPT-4 to write and execute programs in a persistent workspace, addressing weaknesses in previous versions of ChatGPT and enabling complex math, improved accuracy in language tasks, and reduced hallucination rates. The combination of LongNet and Code Interpreter could potentially enable AI to analyze massive projects, pinpoint areas for improvement, and iteratively implement new features until they succeed. What are your thoughts on this game-changing combination, and how do you envision it impacting the future of programming and software development?