The real story this week isn't the papers or the policy theater—it's infrastructure consolidation happening in plain sight. llama.cpp's rapid-fire releases show the open-source inference stack is hardening fast enough that local deployment is becoming genuinely competitive with cloud, which makes all the hand-wringing about "AI regulation" in California or Florida look quaint when the actual power shift is technical, not legislative. The funding piece about Anthropic's export ban creating a market vacuum for Chinese and Japanese competitors is what actually matters: you can't regulate your way into dominance when the bottleneck moves from training to inference to deployment, and those layers are decentralizing. Skip the mental health AI trend piece and the crypto schadenfreude—watch the llama.cpp versioning and international tooling races instead, because that's where the hardware ecosystem gets decided.