The fundamental issue with these AI safety declarations is that they completely ignore game theory. The technology has already proliferated (see: DeepSeek, Qwen) and trying to control it through international agreements is like trying to control cryptography in the 90s.

I've spent enough time building with these models to see their transformative potential. The productivity gains aren't marginal - they're exponential. And this is just with current-gen models.

China's approach is particularly telling. While they lack the massive compute infrastructure of US tech giants, their research output is impressive. Their models may be smaller, but they're remarkably efficient. Look at DeepSeek's performance-to-parameter ratio.

The upside potential is simply too large to ignore. We're seeing breakthroughs in protein folding that would take traditional methods decades. Education is being personalized at scale. The translation capabilities alone are revolutionary.

The reality is that AI development will continue regardless of these declarations. The optimal strategy isn't to slow down - it's to maintain the lead while developing safety measures in parallel. Everything else is just security theater.

(And yes, I've read the usual arguments about x-risk. The bottleneck isn't safety frameworks - it's compute and data quality.)