context learning
knowledge lives outside the model — retrieved and handed over at query time
model weights never change. it gets better at using external info, not at reasoning itself.
ships todayweight updates
knowledge is baked into the model via training — no lookup needed
the model itself becomes different. new knowledge interacts with existing representations.
largely unsolved