The Paper That Changes Everything: Why ICL Was Already Fine-Tuning

October 11, 2025 Google just proved that in-context learning is literally fine-tuning your model. They showed, mathematically, that when you give an LLM examples in its context, it's creating temporary weight updates—actual rank-1 modifications to its neural network. The weights change during inference, then snap back when generation completes. Read that again. Your model is already training…