内容来源：https://aibusiness.com/agentic-ai/google-releases-updated-gemini-deep-research

内容总结：

谷歌云发布新一代自主研究智能体，生成式AI竞争进入新阶段

在OpenAI同日推出GPT-5.2的行业背景下，谷歌正式发布了其Gemini深度研究智能体的重构版本。该系统基于Gemini 3 Pro模型构建，从原本的专业报告生成工具升级为具备长链推理与复杂分析能力的自主研究平台。

新版系统能够对海量复杂数据进行深度分析与提炼，生成比以往更细致准确的报告。谷歌在官方博客中强调，该智能体专门针对长期信息收集与整合任务优化，通过强化多步骤搜索学习能力，可自主精准处理复杂信息场景。公司特别指出系统在减少"幻觉"生成方面取得进展，这对需要长期稳定运行的智能体至关重要。

此次发布同步推出了全新的Interactions API接口，允许开发者将谷歌的研究能力直接嵌入自有应用程序。目前金融科技、生物技术、市场研究及药物毒性安全等对精确性与可追溯性要求较高的领域已开始应用该技术。

谷歌同时宣布将把深度研究智能体整合至谷歌搜索、谷歌财经、Gemini应用及NotebookLM等全线服务，并推出了名为DeepSearchQA的复杂网络搜索评估框架。测试显示，当给予智能体更多搜索与推理时间时，其性能呈现显著提升。

行业观察指出，两大科技巨头同日发布重大更新，标志着以自主智能体为核心的下一代人工智能系统竞争已进入白热化阶段。

中文翻译：

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谷歌发布了其Gemini深度研究智能体的“重构版”，为开发者提供了接触这家科技巨头最先进自主研究能力的机会。同日，OpenAI宣布推出GPT-5.2。

新版系统基于Gemini 3 Pro驱动，将深度研究功能从专业的报告撰写助手升级为能够进行长链条推理与复杂分析的自主研究智能体。本质上，革新后的系统能够分析并浓缩海量复杂数据，提供比以往更详尽、更精准的报告。

谷歌在博客中表示，重构后的系统还致力于减少“幻觉”现象——这是智能体长期运行的关键要求。“该智能体针对长时间上下文收集与综合任务进行了优化，”谷歌解释道，“通过扩展多步骤强化学习搜索机制，智能体能够以高精度自主驾驭复杂信息环境。”这家科技巨头补充道：“深度研究智能体会迭代规划调研过程——它自主构建查询、解读结果、识别知识缺口并再次搜索。”

此次发布还允许开发者通过谷歌全新的Interactions API，将研究能力直接嵌入自有应用程序。该接口旨在实现与不同智能体的交互，并在智能体AI兴起的背景下赋予开发者更高控制权。据谷歌透露，早期用户已将Gemini深度研究应用于金融服务、生物科技、市场调研及药物毒性安全研究等领域，这些领域对精确性与可追溯性要求极高。

谷歌同时宣布，将在谷歌搜索、谷歌财经、Gemini应用及NotebookLM等全线服务中集成这款新型深度研究智能体。伴随此次发布，谷歌还推出了针对复杂网络搜索的新基准测试框架DeepSearchQA，该框架通过“错综复杂的多步骤信息检索任务”评估智能体性能。

谷歌表示，使用该基准测试发现，当给予智能体更多时间执行搜索与推理步骤时，其性能出现“显著”提升。公司称这一发现将在未来版本中进一步深化开发。

值得注意的是，OpenAI于同日发布了被称为“迄今最适合专业知识工作的系列模型”GPT-5.2。两大科技公司同步发布新品，凸显了双方在定义下一代智能体AI系统赛道上的竞争日趋白热化。

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英文来源：

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The announcement came the same day that OpenAI launched GPT-5.2.
Google has released a "reimagined" version of its Gemini Deep Research agent, offering developers access to the tech giant's most advanced autonomous research capabilities.
Powered by Gemini 3 Pro, the updated system shifts Deep Research from a specialized, report-writing assistant to an autonomous research agent designed to conduct long-form reasoning and complex analysis.
In essence, the renewed system is able to analyze and condense huge amounts of complex data and provide more detailed and accurate reports than before.
Google said in a blog post that the revamped system is also designed to reduce hallucinations, a critical requirement for agents operating over extended periods of time.
"[This] agent is optimized for long-running context gathering and synthesis tasks," Google said. "By scaling multi-step reinforcement learning for search, the agent autonomously navigates complex information landscapes with high accuracy."
"Deep Research iteratively plans its investigation — it formulates queries, reads results, identifies knowledge gaps, and searches again," the tech giant added.
The release also allows developers to embed Google's research capabilities directly into their own applications via the company’s new Interactions API. This interface is designed to allow interaction with different agents and give developers greater control amidst a rise in agentic AI.
According to Google, early users are already applying Gemini Deep Research to areas such as financial services, biotech and market research, as well as drug toxicity safety research, where precision and traceability are essential.
Google also said it will be integrating its new deep research agent across its services, including Google Search, Google Finance, its Gemini App and NotebookLM.
Alongside the launch, Google also unveiled a new benchmark for complex web searches. Dubbed DeepSearchQA, the framework evaluates agents on "intricate, multi-step information-seeking tasks."
Using the benchmark, Google said it observed "significant" performance gains when agents were given more time to perform searches and reasoning steps. This, the company said, is something it plans to further develop in future releases.
The news came on the same day that OpenAI unveiled GPT-5.2, described as its "most capable series yet for professional knowledge work."
The simultaneous releases underscore the intensifying competition between the two companies as they race to define the next generation of agentic AI systems.
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