Someone just made LLM weights absorb new knowledge without retraining. Researchers built In-Place Test-Time Training. It lets a model update its own weights while running. Not just during training. The trick: repurpose a matrix already inside every MLP block as "fast
In-Place Test-Time Training Lets LLMs Update Weights While Running
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