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彭博社

阿里巴巴蔡崇信:开源是欧洲实现人工智能独立的最佳途径Alibaba’s Joe Tsai Says Open Source Is Europe’s Best Shot at AI

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蔡崇信 摄影师:朱利亚诺·贝尔蒂/彭博社Joe Tsai Photographer: Giuliano Berti/Bloomberg

阿里巴巴集团控股有限公司董事长蔡崇信表示,开源人工智能技术是欧洲摆脱对美中两国技术依赖、实现技术独立的最佳路径。他同时呼吁欧洲地区着力建设本土计算基础设施,用于训练及运行各类人工智能模型。

Group Holding Ltd. Chairman Joe Tsai said open-source artificial intelligence is Europe’s best route to technological independence from the US and China, and urged the region to build out its own computing infrastructure to train and run AI models.

蔡崇信 摄影师:朱利亚诺·贝尔蒂/彭博社Joe Tsai Photographer: Giuliano Berti/Bloomberg

周三,蔡崇信在意大利都灵举办的Wave by Vento大会上指出:“没有任何国家愿意完全依赖其他国家的技术——一旦政局变动或环境生变,对方随时可能切断技术供应。”

“No country would want to entirely trust another country’s technology: if there’s a change in government, a change in circumstances, they can just shut off the technology from you,” he said, speaking at the Wave by Vento conference in Turin, Italy on Wednesday.

他进一步强调:“欧洲必须切实着手搭建计算基础设施,确保各类AI模型能够顺利运行、训练与推理。”此处所说的推理即指AI模型完成训练后的实际应用环节。

“What Europe needs to do is to get really serious about creating the compute infrastructure to allow these models to run, to train the models and run inference on Europe-based infrastructure,” he continued, referring to the process of running AI systems after they’ve been trained.

蔡崇信还指出,欧洲尚未充分发挥本土AI研究人才的潜力,这些人才恰恰是美国与中国科研机构争相招揽的对象。他建议欧洲应重点利用本土产业数据训练专属AI模型,以此形成竞争优势。

He added that Europe isn’t making the most of its AI researchers, who are often highly sought after by US and Chinese labs. Europe should focus on training AI models on proprietary industrial data to gain an edge, he said.

他提到:“中国的各类工厂掌握着极具价值的制造业数据,这些数据对模型训练大有裨益。而欧洲多国同样保留着规模庞大的工业体系。”蔡崇信对欧洲涌现的众多“新云服务商”持乐观态度,这类企业专门运营配备AI芯片的数据中心。

Factories in China “have very valuable manufacturing data, and all that data can be quite valuable in training models,” he said. “In many countries in Europe, we still have large industrial bases here.”Tsai said he was bullish on Europe’s raft of so-called neoclouds, specialized cloud-computing firms that operate data centers kitted out with AI chips.

此外,蔡崇信指出中国正着力推广开源模型并公开发布相关研究成果,以此推动全球技术普及;相比之下,以OpenAI、Anthropic PBC为代表的美国企业则主要推行技术封闭策略。

He added that China was intentionally focused on open-source models and publishing research to boost uptake globally, contrasting this unfavorably with the proprietary models mostly offered by US firms such as OpenAI and Anthropic PBC.

他总结道:“那些采用闭源技术的美国科研机构如今已不再发布研究论文,因为它们不愿对外分享技术成果,一心只想维持技术垄断。”

“The American labs, closed-source labs, they don’t write papers any more because they don’t want to share,” he said. “They want to be closed.”