It was already the most open language model in its class, given that the code for training and inference was available and it only used public data for training.

For Google and OpenAIs offerings, have fun reimplementing it from descriptions in the paper (including small crucial details that they may have left out), training it for a month, and then wondering if the implementation or the training data is the reason your model isn't as good as theirs.