The current window for open-source AI viability is shrinking. Nathan Lambert argues that the gap between proprietary and open models is widening faster than community efforts can close it. This creates a critical deadline for open research to prove its utility before the cost of training state-of-the-art models becomes prohibitive for all but the largest firms.