谷歌将 Gemini 3 AI 模型带到搜索和 AI 模式。
Google Brings Gemini 3 AI Model to Search and AI Mode

原始链接: https://blog.google/products/search/gemini-3-search-ai-mode/

谷歌搜索得益于Gemini 3的集成而得到显著提升。这次升级增强了搜索理解用户意图的能力,从而提供更全面、更相关的结果,并发现之前遗漏的内容。 很快,在AI模式和AI概览中具有挑战性的查询将自动路由到Gemini 3,以利用其卓越的推理能力,而较简单的任务将使用更快的模型。此推广首先面向美国Google AI Pro和Ultra订阅用户。 除了改进搜索结果外,Gemini 3还能够在AI模式中实现动态生成、定制化的用户界面。它分析问题以创建最佳的视觉布局——结合图像、表格,甚至实时编码的*交互式*工具和模拟,使信息更清晰、更具操作性。这超越了简单的文本回复,提供了真正量身定制且有用的体验。

## Gemini 3 与 Hacker News 讨论 谷歌最近发布了其 Gemini 3 AI 模型,并将其整合到搜索和“AI 模式”中,这在 Hacker News 上引发了大量讨论。最初的帖子获得了 84 分和 9 条评论,但迅速成为争论的焦点。 许多用户认为与 Gemini 3 相关帖子的数量(以及 Antigravity 的报道)过多,导致了对潜在操纵的猜测——特别是“人为制造声势”以夸大积极情绪。这导致了点踩和警告,反对提出此类指控,因为这违反了 Hacker News 的规定。 一些评论员对热情的反响表示怀疑,质疑这是否是自发的,或者是由谷歌员工或其他外部势力驱动的。相关的讨论线程也被链接,突出了围绕发布及其在平台上报道的持续对话。
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原文

Thanks to Gemini 3’s advanced reasoning, Google Search’s query fan-out technique is getting a major upgrade. Now, not only can it perform even more searches to uncover relevant web content, but because Gemini more intelligently understands your intent it can find new content that it may have previously missed. This means Search can help you find even more credible, highly relevant content for your specific question.

And in the coming weeks, we’re also enhancing our automatic model selection in Search with Gemini 3. This means Search will intelligently route your most challenging questions in AI Mode and AI Overviews to this frontier model — while continuing to use faster models for simpler tasks. This will be rolling out to Google AI Pro and Ultra subscribers in the U.S.

Gemini 3’s unparalleled multimodal understanding and powerful agentic coding capabilities are also unlocking more bespoke generative user interfaces. Now, Gemini 3 in AI Mode can dynamically create the ideal visual layout for responses on the fly — featuring interactive tools and simulations — tailored to your query.

To do this, Gemini 3 analyzes your question and creates the most helpful layout, building a custom response with visual elements — like images, tables and grids — so the final output isn’t just informative, but clear and actionable. When the model detects that an interactive tool will help you better understand the topic, it uses its generative capabilities to code a custom simulation or tool in real-time and adds it into your response.

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