The real AI hardware story isn't in the papers or funding rounds—it's in the governance gap. Trump's "voluntary" cybersecurity review is theater masking the actual constraint: we don't have export controls with teeth, which means chips designed for reasoning (OpenCoF, that lineage paper) can't actually be deployed at scale without regulatory whiplash. Meanwhile, llama.cpp's incremental updates reveal the unglamorous truth—real progress happens in quantization and inference efficiency, not model size, yet VCs chase agent startups at $500M valuations chasing problems that require better hardware, not more hype. The military's note-taking AI is the only item here that matters: embedded intelligence in edge infrastructure is where the actual hardware demand comes from, not consumer chatbots.