The real story isn't the papers—it's the infrastructure race collapsing into commodity. llama.cpp's relentless release cadence (5 builds in days) signals that local LLM inference is becoming a solved problem, which means the actual competitive moat shifts to *what you run on it* and *how you deploy it*—see AgentFactory's self-improving CI/CD agents and The Large Cancer Assistant's orchestration layer. DeepSeek's ransomware mishap and Claude's emerging "thinking space" reveal the same truth: frontier capability now comes with real operational risk, and the hardware/deployment layer that safely contains this stuff will matter more than the models themselves. Watch the infrastructure: llama.cpp wins, postgres still wins, and the next $10B will go to whoever figures out how to operationalize agentic systems safely at scale.