moko authors consider using MLP heads as well and also doing a little more engineering more hyper parameter sweeps and also train longer and use the same kind of data augmentations that simply are used but and so the moko authors came back came up with reply to Sinclair in some sense and call their model this moko version to say on the left you can see what it basically is simply R which is the end-to-end version of loco on the right you can see the mocha version exactly the appealing thing about moko is it basically can let you use a lot of