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He's not actually wrong yet though. You can now generate what appears to be a codebase but the chance of it functioning as specified as a whole is basically 0.
by danjc 3y ago
He's not actually wrong yet though. You can now generate what appears to be a codebase but the chance of it functioning as specified as a whole is basically 0.
- kromem 3y agoThis is already over a year old at this point: https://andrewmayne.com/2022/03/17/building-games-and-apps-entirely-through-natural-language-using-openais-davinci-code-model/ https://andrewmayne.com/2022/03/17/building-games-and-apps-e...
- blharr 3y agoThey're great demos, but the tasks are not really at the scale of larger projects and codebases.
- kromem 3y agoAgain - is the copy quoted saying that paragraphs of simple tasks and demos will be able to be coded and only larger complex software can't be written by description? Because it really seems to be saying that no software at any level of complexity can be written from paragraph to working code by deep learning. We should be careful not to move goalposts post facto. And given the trend so far, it is likely that paragraphs of software with greater complexity will be able to be successfully coded as time goes on and models and infrastructure around those models improve. So let's also be careful not to assume the status quo is the end of the process to be evaluated rather than a stepping stone between the beginning and the theoretical end.