▲公众质疑的不是算法本身，而是"不透明"。图/IC photo 据经济日报报道，12月10日，货拉拉正式公开建议到达时间及装货准点率算法规则，目的是让货运行业的时间 规则更透明，优化平台接单司机的"时间体验"。 在此之前，由于司机对平台时间规则不甚了解，又渴望提高时间利用效率，在抢单时极易产生焦虑心态。算法 规则的透明，使接单司机不用再胡乱猜测。 比如有司机坦言，之前担心准点率影响抢单，遇到堵车或客户临时调整时间时压力很大，如今知道准点率与中 单无关，"不用再拼命赶路，和用户沟通清楚就好"。 货拉拉不是第一家公开算法规则的公司。今年4月，抖音就在其新的安全与信任中心网站上，首次公开了算法推 荐系统的原理、用户行为背后的算法推荐逻辑等内容。 8月份，北京市网信办也依据《互联网信息服务算法推荐管理规定》有关要求，指导和推动了抖音、百度、美团 等首批6家属地主要网络平台公示算法规则原理。 各平台对算法规则的公开，直指长期以来饱受诟病的算法"黑箱"，回应了社会关注，同时也为构建一个透明、 公平、可问责的算法治理体系迈出重要一步。 以算法透明解决算法争议，这是AI大爆发的当下，中国互联网企业正在推进的具有标志意义的治理 ...

Group 1: Nvidia Antitrust Review - The Chinese market regulator has initiated an antitrust review of Nvidia's 2020 acquisition of Mellanox, indicating compliance issues and reflecting changes in the global semiconductor industry competition landscape [2][3] - The review highlights the increasing strategic value of semiconductor technology in the digital economy and the growing regulatory scrutiny over key technology sectors [2][3] - Nvidia's CEO has projected that the Chinese AI market could reach $50 billion in the next two to three years, emphasizing the importance of international participation in this market [3] Group 2: TikTok Framework Agreement - TikTok's development in the U.S. has evolved from operational disputes to a framework agreement, showcasing the challenges of global internet platform operations amid varying data security and regulatory requirements [4][5] - The agreement is expected to focus on local data storage, algorithm transparency, and ownership structure, representing a "localized adaptation" approach to globalization [4][5] - The case of TikTok illustrates that future global internet platform operations will require customized adjustments to technology architecture and operational models based on local market regulations [5] Group 3: Global Technology Industry Trends - Both Nvidia's antitrust review and TikTok's framework agreement signal a restructuring phase in the global technology industry, shifting from an "efficiency-first" model to one that balances "safety and efficiency" [7] - This transition may lead to fragmented technical standards and increased R&D costs, as companies adapt to diverse regulatory environments [7][8] - The need for a "dual capability" in technology innovation and compliance adaptation is essential for companies to thrive in the new industry landscape [8]