Update README.md

README.md

@@ -22,7 +22,7 @@ Turn out you do not need to depend on just reasoning models (r1, o1, o3, etc) to
 
 It has many goals in mind, but mainly:
 - enabling faster synthetic reasoning dataset generation, since we're using a small model here (smaller than r1, etc) so faster to do inference on, thus easier to scale
-- control of the style of reasoning (system 2 thinking, etc)
+- distill on synthetic traces for out of domain non-verifiable problems
 - converting any non-reasoning model output/datasets to a reasoning synthetic dataset when used as input
 
 So far, current proof of concept managed to check the boxes for 1 and 3, and I plan on scaling this more as: