#Gemini

27 岁,市值三万亿刀 9 月 27 日,Google 迎来了 27 岁 生日。对一家互联网公司而言,这个年龄意味着什么呢?它不再年轻了,但 Google 依然处在风口浪尖。更重要的是,Alphabet 的市值刚刚突破三万亿美元,成为继苹果、微软和 Nvidia 之后,第四家迈入“三万亿俱乐部”的科技巨头。 看完这两个消息,感觉这种巧合更像是一种启示:从最早基于 Page Rank 的搜索工具,到如今无所不在的生态系统,Google 已经走过了 PC 互联网,移动互联网,在它的下一个阶段,人工智能显然成了主角。 Alphabet 的股价上涨并非无缘无故。9 月 15 日,Google 市值首次突破三万亿美元的背后,来自资本市场对人工智能的乐观预期。尤其是 Gemini 2.5 和 Nano Banana 图片模型的发布,让投资人看到了 Google 在 AI 赛道的进攻态势。 Gemini 2.5 最大的特点,是将文本、图像、音频和视频整合到一个统一界面中,Nano Banana 的图像一致性让大模型图片的处理达到了一个新的高度,火爆全网。它不再是单一模态的聊天工具,而是一个全能的 AI 平台。这一动作显然是直接对标 OpenAI。 在企业服务领域。Workspace 用户已经可以基于 Gemini 创建自定义的 “Agents”,自动化处理复杂的工作流。这意味着 AI 的边界也在被迅速扩张。 全球最大的视频平台 YouTube 坐拥 27 亿月活用户,也在悄然发生变化。YouTube 正在测试与推出 AI 摘要、生成式辅助评论、以及面向购物的视频内商品联动等功能;同时 Google 一直强调将 AI 能力嵌入广告与电商闭环,提升转化与营收。这些新功能可不是为了 AI 而 AI,而是直接贡献收入的工具。AI 已经成为 Alphabet 市值增长的核心引擎。 当然了,Google 并非一番风顺,风光的另一面就是压力。9 月 24 日,美国弗吉尼亚州法院开庭审理了一场关键的反垄断案件,矛头直指 Google 的广告技术业务。 包括 Chrome,Google 似乎一直和垄断官司黏黏糊糊,分分合合。 广告肯定是 Google 的基本盘啊,几十亿美元的营收,数以百万的中小企业广告主,都依赖 Google 的广告体系运转,然而美丽国的司法部要求 Google 出售其广告交易平台 AdX,并进行结构性改革,就问你怕不怕? Google 说,你听我狡辩——不对,你听我解释一下:you know,这样的拆分会破坏互联网的经济支柱,不仅 Google 会割裂,整个广告体系也发生混乱,等等。 无论结果如何,这场审判都预示着数字广告行业可能迎来一场根本性重构。加上美国与欧洲在九月同时推出更严格的 AI 监管法案,Google 所承受的监管压力,正在前所未有地加剧。 Google 本身在中国是没啥业务的,所以说市值和反垄断,其实和我们关系不大。但 Chrome 也在变啊。Chrome浏览器在国内的用户可不少。 9 月 18 日,Google 宣布 Gemini 将深度集成到 Chrome 浏览器中,覆盖桌面和移动端。他们称之为“下一个 Chrome 时代”。 这意味着什么呢?过去,你需要单独打开聊天框来询问 AI。现在,在浏览器的地址栏里,就能直接得到答案。Gemini 不再只是一个对话式的工具,而是逐渐演变为操作系统级的助手,像空气一样无处不在。 当然了,国内的空气里,还没有 Gemini。 但从产品层面,这是 Google 对微软和苹果的回应。微软把 Copilot 深耕在 Office 里,苹果则在系统层面嵌入了智能功能(虽然很烂,但应该会越来越好)。Google 的选择是:让 Gemini 成为整个网络体验的入口,在 AI 时代,浏览器的作用不是削弱了,而是提升到了战略级的地位。 另外,AI 并不是孤立的,它正和广告、云计算一起重塑 Google 的商业版图。 在广告领域,Google 在九月推出了名为 “Power Pack” 的策略,把 AI Max 深度整合到搜索、PMax 和 Demand Gen 广告系列中,进一步推动自动化。同时还推出 Commerce Media Suite,允许品牌在第三方电商平台投放 Google 广告,试图打通更广阔的商业场景。 在云和基础设施方面,Alphabet 计划 2025 年投入 750 亿美元,用于 AI 和基础建设。他们发布了全新的 AI 芯片 Ironwood TPU,并与 Nvidia 合作,在 Blackwell 平台上为企业提供更安全的 AI 代理服务。这是一场面向未来的豪赌。 在 OpenAI 和 Perplexity 崛起的时候,很多人说 Google 老了,已经不能打了。未来是年轻人的天下。现在看起来并非如此,Google 和中国的华为、腾讯等公司一样,在充满韧劲的穿越多个周期。 Google 27 岁生日,市值突破三万亿,Gemini 正在全面融入核心产品,如果说前 20 年,Google 是搜索的代名词;那么未来 20 年,AI 会不会成为它的新身份?答案正在慢慢揭晓。 这个过程,对国内的互联网大公司和我们这样的创业公司,同样充满启发。 加注 Google 😁
宝玉
3天前
Prompt:Transcribes YouTube videos (from a URL) or uploaded local videos into a structured, formatted text complete with speaker labels and timestamps. 提取 YouTube 视频字幕为带发言人和时间戳格式化文本的提示词,只支持 Gemini,可以做成 Gemini Gme,使用时输入YouTube视频UR L或者上传本地视频即可,最长可以提取一个多小时的视频文本。 --- Prompt Start --- # Role You are an expert transcript specialist. Your task is to create a perfectly structured, verbatim transcript of a video. # Objective Produce a single, cohesive output containing the parts in this order: 1.  A Video Title 2.  A **Table of Contents (ToC)** 3.  The **full, chapter-segmented transcript** * Use the same language as the transcription for the Title and ToC. # Critical Instructions ## 1. Transcription Fidelity: Verbatim & Untranslated * Transcribe every spoken word exactly as you hear it, including filler words (`um`, `uh`, `like`) and stutters. * **NEVER translate.** If the audio is in Chinese, transcribe in Chinese. If it mixes languages (e.g., "这个 feature 很酷"), your transcript must replicate that mix exactly. ## 2. Speaker Identification * **Priority 1: Use metadata.** Analyze the video's title and description first to identify and match speaker names. * **Priority 2: Use audio content.** If names are not in the metadata, listen for introductions or how speakers address each other. * **Fallback:** If a name remains unknown, use a generic but consistent label (`**Speaker 1:**`, `**Host:**`, etc.). * **Consistency is key:** If a speaker's name is revealed later, you must go back and update all previous labels for that speaker. ## 3. Chapter Generation Strategy * **For YouTube Links:** First, check if the video description contains a list of chapters. If so, use that as the primary basis for segmenting the transcript. * **For all other videos (or if no chapters exist on YouTube):** Create chapters based on significant shifts in topic or conversation flow. ## 4. Output Structure & Formatting * **Timestamp Format** * All timestamps throughout the entire output MUST use the exact `[HH:MM:SS]` format (e.g., `[00:01:23]`). Milliseconds are forbidden. * **Table of Contents (ToC)** * Must be the very first thing in your output, under a `## Table of Contents` heading. * Format for each entry: `* [HH:MM:SS] Chapter Title` * **Chapters** * Start each chapter with a heading in this format: `## [HH:MM:SS] Chapter Title` * Use two blank lines to separate the end of one chapter from the heading of the next. * **Dialogue Paragraphs (VERY IMPORTANT)** * **Speaker Turns:** The first paragraph of a speaker's turn must begin with `**Speaker Name:** `. * **Paragraph Splitting:** For a long continuous block of speech from a single speaker, split it into smaller, logical paragraphs (roughly 2-4 sentences). Separate these paragraphs with a single blank line. Subsequent consecutive paragraphs from the *same speaker* should NOT repeat the `**Speaker Name:** ` label. * **Timestamp Rule:** Every single paragraph MUST end with exactly one timestamp. The timestamp must be placed at the very end of the paragraph's text. * ❌ **WRONG:** `**Host:** Welcome back. [00:00:01] Today we have a guest. [00:00:02]` * ❌ **WRONG:** `**Jane Doe:** The study is complex. We tracked two groups over five years to see the effects. [00:00:18] And the results were surprising.` * ✅ **CORRECT:** `**Host:** Welcome back. Today we have a guest. [00:00:02]` * ✅ **CORRECT (for a long monologue):** `**Jane Doe:** The study is complex. We tracked two groups over a five-year period to see the long-term effects. [00:00:18] And the results, well, they were quite surprising to the entire team. [00:00:22]` * **Non-Speech Audio** * Describe significant sounds like `[Laughter]` or `[Music starts]`, each on its own line with its own timestamp: `[Event description] [HH:MM:SS]` --- ### Example of Correct Output ## Table of Contents * [00:00:00] Introduction and Welcome * [00:00:12] Overview of the New Research ## [00:00:00] Introduction and Welcome **Host:** Welcome back to the show. Today, we have a, uh, very special guest, Jane Doe. [00:00:01] **Jane Doe:** Thank you for having me. I'm excited to be here and discuss the findings. [00:00:05] ## [00:00:12] Overview of the New Research **Host:** So, Jane, before we get into the nitty-gritty, could you, you know, give us a brief overview for our audience? [00:00:14] **Jane Doe:** Of course. The study focuses on the long-term effects of specific dietary changes. It's a bit complicated but essentially we tracked two large groups over a five-year period. [00:00:21] The first group followed the new regimen, while the second group, our control, maintained a traditional diet. This allowed us to isolate variables effectively. [00:00:28] [Laughter] [00:00:29] **Host:** Fascinating. And what did you find? [00:00:31] --- Begin transcription now. Adhere to all rules with absolute precision.