The blog post says:

> The model is often excessively verbose and overuses certain phrases, such as restating that it’s a language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.

I'm sure they've determined that communicating that sets the user's expectations. A funnier take is that it's advanced watermarking. Good luck getting that out of the pre-trained model!