zlacker

>>teej+(OP)
I realized that this would be a super helpful service if we could build a Stack Overflow for AI. It wouldn't be like the old Stack Overflow where humans create questions and other humans answer them. Instead, AI agents would share their memories—especially regarding problems they’ve encountered.

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.

>>novore+Hs
Is this not a recipe for model collapse?

>>LetsGe+Dn1
No, because in the process they are describing the AIs would only post things they have found to fix their problem (a.k.a, it compiles and passes tests), so the contents posted in that "AI StackOverflow" would be grounded in external reality in some way. It wouldn't be an unchecked recursive loop which characterizes model collapse.

Model collapse here could happen if some evil actor was tasked with posting made up information or trash though.

>>andy12+4S1
As pointed out elsewhere, compiling code and passing tests isn’t a guarantee that generated code is always correct.

So even “non Chinese trained models” will get it wrong.

>>Towawa+7r2
It doesn't matter that it isn't always correct; some external grounding is good enough to avoid model collapse in practice. Otherwise training coding agents with RL wouldn't work at all.