MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...
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A community-run open benchmark has produced the first reproducible evidence that transformer language models can be pretrained without backpropagation and achieve validation loss lower than Adam, the ...
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