The capability of a language model I care about most is probably its ability to represent or simulate Captain Picard. In the sense of being good at creative tasks but also Captain Picard, specifically. Is OpenAI deliberately doing something different on purpose that makes their models better for this, or is just that OpenAI has a lot more copyrighted data in their dataset, as I noticed just now when skimming the Facebook paper for MMLU section and seems be what the Facebook folks think?

"A potential explanation is that we have used a limited amount of books and academic papers in our pre-training data, i.e., ArXiv, Gutenberg and Books3, that sums up to only 177GB, while these models were trained on up to 2TB of books. This large quantity of books used by Gopher, Chinchilla and PaLM may also explain why Gopher outperforms GPT-3 on this benchmark, while it is comparable on other benchmarks."