A six-month window now defines the survival of open-source AI. Nathan Lambert argues that current benchmarks and release cycles will determine if open models can keep pace with proprietary giants. This pressure test forces developers to innovate faster. Failure to close the gap will relegate open research to a niche hobby rather than a competitive force.