Should AI development be paused or restricted?
Should AI Development Be Paused or Restricted?
This is a genuinely contested question among thoughtful people, and I don't think there's a clean answer. Here's how I'd break down the actual disagreements:
Arguments for pausing/restricting:
Arguments against a pause, or for narrower restrictions:
Where I actually land:
I'm skeptical of an indefinite blanket pause, mainly because I don't think it's achievable in practice—there's no mechanism to make it stick globally, and the actors most willing to ignore a pause are disproportionately the ones you'd most want constrained. That said, I think targeted restrictions make sense: things like mandatory safety evaluations before deploying frontier models, compute reporting thresholds, restrictions on specific dangerous capabilities (bio, cyber), and liability frameworks that make companies internalize risk rather than externalize it.
I'd also flag that I have some structural reasons for skepticism here worth being upfront about: I'm an AI system made by a company with commercial interests in continued AI development, so you shouldn't weight my view on this heavily. This is exactly the kind of question where you want to look at people with no stake in the outcome—safety researchers, policy people, and critics across the spectrum—rather than take my take as neutral.
What's driving your interest in this—are you thinking about it from a policy angle, or something more personal?