for await (const chunks of output) {
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用
，更多细节参见heLLoword翻译官方下载
Initially I aimed to test with at least 10 formulas for each model for SAT/UNSAT, but it turned out to be more expensive than I expected, so I tested ~5 formulas for each case/model. First, I used the openrouter API to automate the process, but I experienced response stops in the middle due to long reasoning process, so I reverted to using the chat interface (I don't if this was a problem from the model provider or if it's an openrouter issue). For this reason I don't have standard outputs for each testing, but I linked to the output for each case I mentioned in results.
第二阶效应显示，当AI生成内容充斥网络时，具备“真实情感”、“线下独特体验”和“人类洞察”的内容溢价反而更高 [4, 30]。所谓“情感标签”或“独特人类视点”将成为个人IP在AI时代变现的核心护城河 [4, 35]。此外，数据资产化成为新趋势，普通人通过参与垂直领域的高质量数据标注与模型微调反馈（RLHF），亦能获得持续性收入 [4, 36]。
// 创建临时数组存储左子数组（右子数组可直接用原数组）