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Additional idea for why this won't be used as much as they hope: Creating the software is just one part of the entire process of utilizing software. Small scripts actually could be possible to be written by AI, but actually using them could turn up challenging for normal users. Anyone who has setup a coding project knows that actually creating the project structure, setting up dependencies, build scripts, making the code compile/be interpreted are all problems that can have extremely obscure, frustrating errors, and they happen before you even start coding. Then, not to mention, deploying the software. Even if you give someone code, they won't immediately know how to run it. End users get worried at the idea of opening a terminal and running a command in it, no matter how easy it is. Not to mention setting up the software to do so. (Is the right Python version even installed?) As such, even if an AI could write a perfect script in code from standard text to, say, lowercase all of the words in a document, it would still be hard for non-developers to use because of the surrounding knowledge barrier, outside of the code itself. Although, yeah, it would be easier. |