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Regulation and AI model behavior around copyrighted content remains in flux, with implications for what content models can reference and how prominently different sources appear. Current legal frameworks are struggling to accommodate AI's information synthesis capabilities, and future regulations might significantly impact how models cite sources, what compensation creators receive, and what controls you have over whether AI systems can reference your content.
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中国商业联合会直播电商工作委员会副会长曹磊表示，AI技术滥用为消费市场带来了新挑战，需要监管部门划定底线、平台织密防护网、商家提升自卫能力。在监管执法方面，建议公安、市场监管、网信等部门协调联动，开展AI技术欺诈专项整治，查办并公开通报一批典型案例；完善法律制度，明确“利用AI伪造证据骗取财物”的行为定性，建立“多次小额欺诈累计计算”入刑机制；建立跨部门数据共享平台，打通电商、金融、公益等领域的欺诈线索移送通道，实现“一处查处、全域管控”。
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For the U.S., the stakes of this transition are uniquely high. As a primary hub for the global AI infrastructure boom, the U.S. is poised to capture a significant portion of the projected $3 trillion in data-center-related investments over the next five years, as projected by Moody’s. However, this leadership comes with a steep entry fee: massive demands on power grids and digital connectivity that require enormous spending before productivity gains ever hit the bottom line.