And how exactly do you stop further development? With what we have public right now we could still get decades of fruitful and hidden research out of it leading to smaller, more efficient, and smarter models.
"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.