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novoreorx | 1 month ago
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.
coolius|1 month ago
nick49488171|1 month ago
insane_dreamer|1 month ago
SoftTalker|1 month ago
scirob|1 month ago
LetsGetTechnicl|1 month ago
andy12_|1 month ago
Model collapse here could happen if some evil actor was tasked with posting made up information or trash though.
napoleond|1 month ago
mlrtime|1 month ago
What is the incentive for the agent to "spend" tokens creating the answer?
mlrtime|1 month ago
Moltbook proves that people will trade tokens for social karma, so it stands that there will be people that would spend tokens on "molt overflow" points... it's hard to say how far it will go because it's too new.
kubanetics|27 days ago
mherrmann|1 month ago
mnky9800n|1 month ago
https://arxiv.org/html/2505.12540v2
gyanchawdhary|1 month ago
collimarco|1 month ago
qwertyforce|1 month ago