软银集团（SoftBank Group Corp.）首席执行官孙正义——人工智能领域的狂热信徒之一——表示，随着机器迅速获得更强的能力，连他自己也对安全风险感到担忧。
Group Corp. chief Masayoshi Son — one of AI’s fervent believers — said that even he’s worried about safety risks as machines quickly gain more abilities.
孙周日前在京都举行的“科技与社会”论坛旁会上表示，人工智能能力的指数级增长使得各国必须建立信任，以便共同利用这项技术。他与白宫科技政策顾问迈克尔·克拉齐奥斯（Michael Kratsios）一同发表了讲话。
An exponential surge in AI capabilities makes it imperative for countries to build trust so that they can harness the technology together, Son said at an event on the sidelines of the Science and Technology in Society forum in Kyoto on Sunday. He was speaking alongside White House science and tech policy advisor Michael Kratsios.
孙正义说：“我们已没有余裕让人类彼此对抗。”他补充称，各国需要携手合作，以控制强大人工智能模型带来的更大威胁。他指出，超级智能若落入错误之手，将变得“极其危险”。
“We don’t have any more luxury of having human fight against human,” Son said, adding that countries need to work together to control the far greater threat from powerful AI models. Superintelligence in the wrong hands can become “super dangerous,” he said.
这种谨慎的表态对于孙正义而言并不常见，反映了近几个月来人工智能模型出现令人不安的安全漏洞后，外界担忧情绪的不断升级。这位69岁的日本亿万富翁已向ChatGPT的创造者OpenAI投入了总计近650亿美元的软银资金，并多年来一直强调人工智能在带来投资回报和造福人类方面的潜力。
It was an uncharacteristic note of caution from Son that reflects escalating concern in the wake of disturbing security breaches by AI models in recent months. The 69-year-old Japanese billionaire has directed SoftBank funds totalling nearly $65 billion into ChatGPT creator OpenAI, and has spoken for years about the ability of AI to deliver investment returns and help humanity.
克拉齐奥斯此次访日，旨在宣布由美国主导的17国联合行动，以更好地利用人工智能加速科学研究。日本、韩国、英国、德国、新加坡和阿拉伯联合酋长等国的代表与克拉齐奥斯同台，共同见证这一活动。最初支持白宫声明的国家名单中并未包括中国。
Kratsios was in the Japanese city to announce a US-led 17-country push to better use AI to accelerate scientific research. Representatives of nations including Japan, South Korea, the UK, Germany, Singapore and the United Arab Emirates joined Kratsios on stage to mark the event. The list of countries that initially endorsed the White House statement did not include China.
克拉齐奥斯表示：“在工业规模运行的自动化云实验室中，机器人系统将执行数百个并行实验，生成数据并反馈用于实时分析和假设优化。”
“In automated cloud laboratories operating at industrial scale, robotic systems will conduct hundreds of parallel experiments, generating data that feeds back for real-time analysis and hypothesis refinement,” Kratsios said.
他补充说，机器能够综合数千篇论文，将数年的研究工作压缩为“由数字智能体大军协助人类研究人员完成的数十小时工作量”。
Machines are able to synthesize thousands of papers and compress years of research into “tens of hours of work by armies of digital agents assisting human researchers,” he added.
与此同时，AI服务的能力将继续呈指数级增长，孙表示。聊天机器人背后的技术目前正帮助AI服务浏览网站和编写代码，并使用了越来越多的通用型芯片。他表示，这类程序接下来将进入第三阶段，并从明年开始为机器人和其他机器与物理世界的互动提供支持。
In the meantime, AI services’ capabilities will continue to grow exponentially, Son said. The technology behind chatbots is now helping AI services browse sites and write code, using rising amounts of general-purpose chips. Such programs will next move to a third phase and be ready to help robots and other machines interact with the physical world starting next year, he said.
孙重申了他的长期预测：到2040年，具备学习能力的AI和机器将占全球国内生产总值的至少20%，相当于46万亿美元。“这仅仅是个开始。”
Son reiterated his long-term projection that AI and machines with learning capabilities would account for at least 20% of global gross domestic product by 2040, or the equivalent of $46 trillion. “This is just the beginning.”