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DeepSeek押注AI Agent：Harness基础设施成新战场

DeepSeek正在组建专门的AI“Harness”团队，并招募包括前Jane Street工程师崔天一在内的人才，希望打造类似Claude Code的代码智能体产品。[4][6] AI Harness是围绕大模型的运行层，使模型能够访问文件、执行命令、编辑代码并完成多步骤任务，从而把聊天模型变成真正的自主Agent。[33] 像Claude Code这样的AI代理工具迅速商业化，推动Anthropic年化收入达到约300亿美元，也让全球AI公司开始重视Agent基础设施。[18]

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Concept illustration of AI agents and software harness systems controlling autonomous workflows — What is DeepSeek doing to stay competitive in the emerging agentic AI era, including its recruitment of former Jane Street engineer Cui TianAI harness systems provide the tools and execution loop that turn language models into autonomous agents.
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Create a landscape editorial hero image for this Studio Global article: What is DeepSeek doing to stay competitive in the emerging agentic AI era, including its recruitment of former Jane Street engineer Cui Tian. Article summary: DeepSeek appears to be shifting from competing only on base-model performance toward building agent infrastructure, but the specific claims in the original answer about Cui Tianyi and a new internal “harness” team are no. Topic tags: general, general web, user generated. Reference image context from search candidates: Reference image 1: visual subject "# DeepSeek recruits former Jane Street engineer to catch up on AI agents, revenue race. ### Move underscores start-up’s efforts to build harnesses – software that turns an AI model" source context "DeepSeek recruits former Jane Street engineer to catch up on AI agents, revenue race | South China Morning Post" Ref
openai.com

过去几年，AI竞争的核心是谁拥有更强的大模型。但现在，行业焦点正在迅速转向另一件事：谁能把模型变成真正能工作的AI Agent。

在这种趋势下，中国AI公司 DeepSeek 正在加大对一种关键基础设施的投入——AI Harness。多家媒体报道称，DeepSeek 已招募工程师并组建新的团队，专门开发这一技术，其中包括曾在量化交易公司 Jane Street 任职的工程师 崔天一。

这意味着，AI行业的竞争正在从“训练更强的模型”，逐渐转向构建能执行任务的Agent系统。

DeepSeek的最新动作：打造AI Harness团队

据报道，DeepSeek 最近招募了前 Jane Street 工程师 崔天一，加入其新的 AI Harness 团队。

这一团队的目标是构建一种面向代码开发的AI智能体系统。行业消息称，该项目在内部对标的是 Anthropic 的 Claude Code，也被称为 DeepSeek Code Harness。

团队的使命很明确：

把 DeepSeek 的先进模型能力，转化为开发者和企业可以每天使用的自动化工具。

这与 DeepSeek 的模型路线相呼应。其最新 V4 系列模型已经强调更强的推理能力以及所谓的 “agentic”能力——也就是能够自主完成复杂任务和工作流程的能力。

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