We document a clear trend where Chinese models overtook their counterparts built in the U.S.
这一发现挑战了美国在AI领域的主导地位叙事,暗示全球AI权力格局正在发生根本性转变。这种转变可能对技术标准制定、数据治理和国际AI合作产生深远影响。
We document a clear trend where Chinese models overtook their counterparts built in the U.S.
这一发现挑战了美国在AI领域的主导地位叙事,暗示全球AI权力格局正在发生根本性转变。这种转变可能对技术标准制定、数据治理和国际AI合作产生深远影响。
We document a clear trend where Chinese models overtook their counterparts built in the U.S. in the summer of 2025 and subsequently widened the gap over their western counterparts.
令人惊讶的是:这项研究表明,在2025年夏天,中国开源语言模型已经超越美国同行,并且这一差距还在不断扩大。这表明全球AI发展速度之快超出了许多人的预期,也反映了非西方国家在AI领域的快速崛起。
Chinese models overtook their counterparts built in the U.S. in the summer of 2025 and subsequently widened the gap over their western counterparts.
令人惊讶的是:在短短几年内,中国开源语言模型生态系统已经全面超越美国,这标志着全球AI研发格局发生了重大转变。这一趋势不仅反映了中国在AI领域的快速进步,也暗示了未来技术领导力的可能转移。
In Washington, the AI policy discourse is sometimes framed as a 'race to AGI.' In contrast, in Beijing, the AI discourse is less abstract and focuses on economic and industrial applications that can support Beijing's overall economic objectives.
令人惊讶的是:中美对AI的战略定位存在根本差异——美国聚焦于通用人工智能(AGI)的竞赛,而中国则更注重经济和工业应用。这种差异反映了两国的技术哲学和治理模式,也解释了为什么中国在有限计算资源下仍能发展出更具实用性的AI应用。
AI for Good3, SDG AI LAB4, IRCAI5 y Global Partnership for Artificial Intelligence6
“apoyar el desarrollo y uso de inteligencia artificial tomando como base los derechos humanos, la inclusión, la diversidad, la innovación y el crecimiento económico, buscando responder a los Objetivos de Desarrollo Sostenible de Naciones Unidas”. (Benjio & Chatila, 2020)
Centre for Effective Altruism. (2020, June 13 & 14). EAGxVirtual 2020 Virtual Conference. https://www.youtube.com/playlist?list=PLwp9xeoX5p8NfF4UmWcwV0fQlSU_zpHqc
Young, V. A. (2020, May 20). Nearly Half Of The Twitter Accounts Discussing ‘Reopening America’ May Be Bots. Carnegie Mellon School of Computer Science. https://www.scs.cmu.edu/news/nearly-half-twitter-accounts-discussing-%E2%80%98reopening-america%E2%80%99-may-be-bots
Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579–1586. https://doi.org/10.1016/S0140-6736(20)30226-9