The Frontier
Mimir v1: 1B model trained on permissible data matches 4B rivals
Two research stories this morning, one about what open models are trained on, one about what self-improving agents remember. Denmark's Foundation Models project says a 1-billion-parameter model built only on legally clean data goes toe-to-toe with models four times its size, and a new study quantifies how easily agents bake unsafe behavior into their persistent skills. Danish researchers say their 1B model, trained only on permissible data, matches rivals four times its size.
