People need to consider / realize that the vast majority of source code training data is Github, Gitlab, and essentially the huge sea of started, maybe completed, student and open source project. That large body of source code is for the most part unused, untested, and unsuccessful software of unknown quality. That source code is AI's majority training data, and an AI model in training has no idea what is quality software and what is "bad" software. That means the average source code generated by AI not necessarily good software. Considering it is an average of algorithms, it's surprising generated code runs at all. But then again, generating compiling code is actually trainable, so what is generated can receive extra training support. However, that does not improve the quality of the source code training data, just the fact that it will compile.