A new research proposal suggests treating language models as a shared global workspace for information processing. This approach mimics cognitive architectures to improve how models handle complex, multi-step reasoning tasks. It aims to solve current memory bottlenecks. Practitioners can use these findings to optimize context window management and long-term state tracking in larger systems.