Edit ‘autogollark’
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@@ -38,7 +38,7 @@ Autogollark currently comprises the dataset, the search API server and the [[htt
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* https://arxiv.org/abs/2507.01335
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* 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.
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* Maybe compute grants are available for training.
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* Substantial bandwidth bottleneck on CPU. Specdec/MTP would be useful.
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* 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.
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}
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* Search over conversations with non-gollark simulacra? Should find //something// to use spare parallelism on local inference. Best-of-n? https://arxiv.org/abs/2505.10475
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* {Longer context, mux several channels.
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