Today I received an interesting notification—the official account of that AI multi-model project suddenly liked a post I made a few days ago. Previously, it was always their Chinese community team maintaining interactions, but this time the official account engaged directly. I guess the team has assigned translators to monitor discussions in different language communities.

This is a good opportunity to talk about their multi-model consensus mechanism. Simply put, it prevents a single AI model from having the final say; instead, multiple models run the same problem simultaneously, and the result is produced through a consensus algorithm. This design actually aligns well with the decentralized approach—lower risk of single points of failure, and theoretically higher credibility of the output. After all, a single model might produce nonsense, but the probability of multiple models hallucinating at the same time is much lower.