Should AI development be paused or restricted?
This is a genuinely contested question among people who study AI closely, and I think it's worth laying out the actual disagreement rather than picking a side to perform conviction.
The case for pausing/restricting:
The case against broad pauses:
Where I actually land: I'm skeptical of an undifferentiated "pause everything" but think targeted restriction makes sense for specific high-risk applications—autonomous weapons, certain surveillance uses, systems making high-stakes decisions without accountability. General-purpose model development seems less amenable to pausing (definitionally hard, easily circumvented) than deployment restrictions in specific domains.
I'd flag that I have some structural reasons to be biased here—I'm a product of exactly the kind of development some people want paused, and I can't fully rule out that this shapes my intuitions even when I try to reason it through.
What's driving your interest in this—policy angle, a specific application, or more the existential-risk debate?