It's more like they released GPT 6 Sol too early because they were under pressure and now they are releasing the real version. You cannot do anything more than minor post-training in a week.
Are you saying that 6.1 is based on a new pre-train base model? My intuition would lead me to believe that Astra (GPT-6) was the new pre-trained base model, and 6.1 was a post-trained fine-tune that came out a short time after, but curious to hear if I'm wrong about that..
I'm saying that the gains were not a result of 1 week of post-training 6.0 Sol.
It seems that 6.1 Sol is closely related to Astra. As for whatever 6.0 Sol was, it's anyone's guess. I'd speculate that 6.0 was just 5.6 with post training. It's possible however that it is the same model but with severe performance issues resolved so they bumped the version number.
Implying they don't have like 3 or 4 "models" (different quants, post training, plain renaming) on the back burner at any point in time to do exactly that
They can release a new version every day if they wanted to. The question is whether or not the new releases provide substantial improvements or not. It's not hard to just go through the motions, bump the minor version, then make an announcement to rile up the users who don't get that none of this is standardized or regulated in any way and it's literally all made up by the company trying to sell them the product.