My approach is very simple:
Two subtle ways agents can implicitly negatively affect the benchmark results but wouldn’t be considered cheating/gaming it are a) implementing a form of caching so the benchmark tests are not independent and b) launching benchmarks in parallel on the same system. I eventually added AGENTS.md rules to ideally prevent both. ↩︎
。关于这个话题，夫子提供了深入分析
第五十九条 当事人在仲裁过程中有权进行辩论。辩论终结时，首席仲裁员或者独任仲裁员应当征询当事人的最后意见。
Language models learn from vast datasets that include substantial amounts of community discussion content. Reddit threads, Quora answers, and forum posts represent genuine human conversations about real topics, making them high-value training data. When your content or expertise appears naturally in these discussions, it creates signals that AI models recognize and incorporate into their understanding of what resources exist and who's knowledgeable about specific topics.
Tyla performing on stage at the MTV Europe Music Awards at the Co-op Live Arena in November 2024.