北京，10月15日 - 中国科技巨头字节跳动的AI研究部门Seed成立了对齐与准备团队，并启动全球招聘10名研究人员的行动，称将为其日益强大的模型进行长期的AI安全投资。
BEIJING, Oct 15 - Chinese tech giant ByteDance's AI research unit Seed has created an Alignment & Preparedness team and launched a global drive to recruit 10 researchers, saying it will make a long-term investment in AI safety for its increasingly capable models.
此次招聘行动的开展正值中国和美国对AI代理安全的审查日益加剧之际，尤其是开发者赋予其访问互联网的自主权之后。
The hiring push comes as scrutiny of AI-agent safety grows in China and the US, especially as developers give them autonomy to access the Internet.
AI对齐是指为确保先进AI系统在执行复杂、多步骤任务时能够符合人类目标和安全要求所做的努力。
AI alignment refers to efforts to ensure advanced AI systems act in line with human goals and safety requirements, particularly when carrying out complex, multi-step tasks.
字节跳动的这一声明是中国主要AI开发者罕见的公开披露，表明其正专注于前沿模型的安全、对齐以及对新兴风险的准备工作。
ByteDance's announcement is a rare public disclosure by a major Chinese AI developer of a dedicated effort focused on frontier-model safety, alignment and preparedness for emerging risks.
国有报纸《澎湃新闻》周二报道称，Seed是中国首个成立独立安全与对齐部门的前沿AI实验室。
State-backed newspaper The Paper reported on Tuesday that Seed was the first Chinese frontier AI lab to establish a standalone safety and alignment department.
此举也正值中美就AI防护栏、安全风险以及就重大AI相关事件进行沟通的渠道展开更广泛讨论之际，尽管两国仍在争夺先进AI的领导权。
The move also comes amid broader US-China discussions on AI guardrails, safety risks and channels for communicating about major AI-related incidents, even as the two countries compete for leadership in advanced AI.
随着模型能力的提升，安全与对齐不再仅仅是防范风险的保障措施，而是将决定模型能否大规模部署的核心能力，Seed在其官方微信账号周三发布的招聘帖中如此表示。
As model capabilities improve, safety and alignment are no longer simply safeguards against risk but core capabilities that will determine whether models can be deployed at scale, Seed said in a recruitment post published on its official WeChat account on Wednesday.
Seed表示，将为新团队提供与前沿模型团队相当的算力和研究资源。这些岗位位于北京、上海和美国加州圣何塞。
Seed said it would provide the new team with computing capacity and research resources comparable to those available to frontier-model teams. The positions are based in Beijing, Shanghai and San Jose, California.
其研究将包括模型开发各阶段的安全训练、漏洞的自动化测试、用于监测和解释模型行为的工具、AI代理测试环境以及对新兴风险的准备工作。
Its research will include safety training across model-development stages, automated testing for vulnerabilities, tools to monitor and explain model behaviour, AI-agent testing environments and preparations for emerging risks.
Seed表示，它还将寻求独立测试，并与大学和研究机构合作，在模型训练、评估和部署过程中应用安全研究。
Seed said it would also seek independent testing and work with universities and research institutions, applying safety research across model training, evaluation and deployment.