A researcher working independently has released DABSN (Dynamic Adaptive Bias State Network), a recurrent architecture with public preprints, PyTorch, C++, and Triton code. The researcher has also trained a 24M-parameter language model on 1B pretraining tokens using a GPT-2 tokenizer and is now writing a second paper focused on language modeling and long-context behavior.
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