From my perspective, this is reasonable.

The basic working principle of LLM is that the model weights are combined with the current context to predict the most likely Token; however, considering that most of the data in model training does not relate to AI Systems, LLMs are inevitably faced with difficulties when designing AI systems.

But I believe this issue will be gradually alleviated because the increasing number of open-source projects related to AI Systems will increase the amount of data for AI Systems, thus enabling the model to perform better.

However, I think this is a good thing for software engineers, because the emergence of new business needs and new product forms, the time it takes for them to be learned by the model and become a new baseline may be longer than we imagine.