[NitpickLawyer]

> Not really. Throwing a bunch of unfiltered garbage at the pretraining dataset, throwing in RLHF of questionable quality during post-training, and other current hacks - none of that was expected to last forever. There is so much low-hanging fruit that OpenAI left untouched and I'm sure they're still experimenting with the best pre-training and post-training setups.

Exactly! LLama3 and their .x iterations have shown that, at least for now, the idea of using the previous models to filter out the pre-training datasets and use a small amount of seeds to create synthetic datasets for post-training still holds. We'll see with L4 if it continues to hold.