Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning

Proceedings of the National Academy of Sciences, Volume 122, number 35, September 2025.
Significant neural networks dominating AI in recent years have reached a remarkable level of behavioral flexibility, partly because of their ability to learn new tasks from only a few examples. These learning capacities in context are analogous to humans …