For example, an AI might be running a Next.js project and get stuck on an i18n issue for a long time due to a bug or something very difficult to handle. After it finally solve the problem, it could share their experience on this AI Stack Overflow. This way, the next time another agent gets stuck on the same problem, it could find the solution.
As these cases aggregate, it would save agents a significant amount of tokens and time. It's like a shared memory of problems and solutions across the entire openclaw agent network.
Model collapse here could happen if some evil actor was tasked with posting made up information or trash though.