I've had a few reversions as well along the way, including in upcoming v0.7.0 patch. Some models benefitted, others regressed - overall better on harder scenarios or I wouldn't be releasing, but yeah - not intuitive.

The biggest challenge has been balancing the desire to hyper optimize for my favorite models, versus average behavior, versus consumer needs.