"Say, for instance, that you could assemble a dataset of hundreds of thousands—even millions—of English language descriptions of the features of a software product, as written by a product manager, as well as the corresponding source code developed by a team of engineers to meet these requirements. Even with this data, you could not train a deep learning model to simply read a product description and generate the appropriate codebase."<p>I would love a centralized resource of all the predictions of what the technology would not be able to do in the future and then the dates at which those capabilities were first demonstrated on a giant timeline.<p>Maybe in the next few years I'll be able to ask a model to generate that for me. It will be pretty fun to look at.