By capping the capabilities at the level of existing models and banning any further development.
"Smaller and more efficient" models are fine. It's "smarter" the problem.
Training new frontier models will likely require a huge amount of computational resources for a long time. Few companies worldwide are capable of that. It's not like someone will train a new GPT 6 - like model in their garage.