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@@ -6,9 +6,12 @@ Ranger, with Radam + Lookahead core, is now 1.5 years old.  In the interim, a nu
 Thus, Ranger21 (as in 2021) is a rewrite with multiple new additions reflective of some of the most impressive papers this past year.  The focus for Ranger21 is that these internals will be parameterized, and where possible, automated, so that you can easily test and leverage some of the newest concepts in AI training, to optimize the optimizer on your respective dataset. 
 
 ### Ranger21 Status:</br>
-<b> April 10 - madgrad core engine integrated </b> Madgrad has been added in a way that you will be able to select to use MadGrad or Adam as the core 'engine' for the optimizer.  Still testing things and then will update code here. 
+<b> April 10 - madgrad core engine integrated </b> Madgrad has been added in a way that you will be able to select to use MadGrad or Adam as the core 'engine' for the optimizer.  
 Thus, you'll be able to simply toggle which opt engine to use, as well as the various enhancements (warmup, stable weight decay, gradient_centralization) and thus quickly find the best optimization setup for your specific dataset. 
 
+Still testing things and then will update code here...
+Gradient centralization good for both - first findings are gradient centralization definitely improves MadGrad (just like it does with Adam core) so will have GC on as default for both engines.
+
 ### LR selection is very different between MadGrad and Adam core engine:
 One item - the starting lr for madgrad is very different (much higher) than with Adam....have done some testing with automated LR scheduling (HyperExplorer and ABEL), but that will be added later if it's successful.  But if you simply plug your usual Adam LR's into Madgrad you won't be impressed :)