Diff of Autogollark at c9bac17

@@ -39,5 +39,6 @@ Autogollark currently comprises the dataset, the search API server and the [[htt
 * https://arxiv.org/abs/2510.14901
-* https://github.com/d0rc/egg.c and https://eshyperscale.github.io/. Does this actually work (at scale)? Why? Would be really nice for using AMX units.
+* https://github.com/d0rc/egg.c and https://eshyperscale.github.io/. Does this actually work (at scale)? Why? Would be really nice for using AMX units. But no pretrained models.
 * Maybe compute grants are available for training.
 * Substantial bandwidth bottleneck on CPU (230GB/s nominal; 200GB/s benchmarked; 100GB/s per NUMA node, which llama.cpp handles awfully). Specdec/MTP would be useful. Can anything use AMX well though?
+* https://dnhkng.github.io/posts/rys/
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