VCs with exposure to closed-source AI infrastructure are facing compression risk as open-source models narrow the performance gap. Timing of $OPENAI's alleged model escape (1 month ago) raises questions about narrative control ahead of funding rounds or competitive positioning. If open-source continues to match proprietary performance at fraction of cost, moat thesis for high-valuation AI startups deteriorates rapidly. Watch for margin pressure in AI-as-a-service plays and potential repricing of late-stage AI equity.