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08-07
大模型屁用没有，深蓝国际象棋下的好过人类围棋也打败人类了，就应该出行业模型比如医生教师各行各业专属模型！
Gemini崩塌，Meta反超成为“AI老三”？谷歌会是一年前的Meta 吗？
华尔街见闻
紧盯全球金融市场，覆盖股市、外汇、债券、大宗商品等。
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多云轩
08-10 11:51
多云轩
你让那么多中产下岗会出大乱子的
小猪_8750
08-08
小猪_8750
你还不懂
什么也没有了～
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data-align=\"center\" tg-width=\"1930\" tg-height=\"1212\"/><span></span></p><p style=\"text-align: left;\">这是一次早已酝酿的权力转移的最终制度化，而非突如其来的人事地震。原定于2026年夏季发布的Gemini 3.5 Pro迟迟未能上线，OpenAI和Anthropic则在coding agent、长任务执行等关键赛道持续领跑。就在不到两个月前，参与设计Gemini技术架构的Noam Shazeer已转投OpenAI，与Hassabis共同获得诺贝尔奖的John Jumper则加盟Anthropic。<strong><a href=\"https://laohu8.com/S/GOOGL\">谷歌A</a>I黄金一代的集体撤离，标志着一个时代的终结。</strong></p><h2 style=\"text-align: left;\">旗舰模型延期，人才外流加速</h2><p style=\"text-align: left;\">Gemini 3.5 Pro的发布延误是此次管理层变动最直接的导火索。据报道，该模型原计划于今年夏天推出，截至7月下旬仍处于合作伙伴测试阶段，谷歌仅表示将在"准备好后"广泛上线。与此同时，内部团队已启动Gemini 4的训练工作。</p><p style=\"text-align: left;\">人才流失同步加剧。此次与Jeff Dean一同出走的Oriol Vinyals，曾是谷歌对抗Anthropic和OpenAI的核心将领之一。在更早之前，Noam Shazeer加入OpenAI，John Jumper转投Anthropic。Jeremy Nixon曾在Google Brain从事研究工作，他将Jeff Dean的离职形容为"几乎难以想象"，并警告称："这可能是谷歌长期以来首次真正意义上的危机时刻。谷歌的人才流失速度无人能及。"</p><p style=\"text-align: left;\">谷歌7月发布了若干小型AI模型，包括一款专注网络安全的产品，在编程和金融任务基准测试中表现尚可，但未能超越竞争对手。与此同时，谷歌维持着大规模资本投入——公司预计今年在数据中心及AI基础设施上的支出将达1950亿至2050亿美元，较去年的850亿美元翻番以上。</p><h2 style=\"text-align: left;\">三年组织矛盾的总爆发</h2><p style=\"text-align: left;\">此次调整的根源，可追溯至2023年4月谷歌将Google Brain与DeepMind合并的决定。合并之初，外界普遍将其解读为集中顶尖AI人才、加速研发的战略之举。然而，谷歌在合并时混淆了两个性质截然不同的问题：人才能否集中，与集中后应做什么，是两回事。</p><p style=\"text-align: left;\">Google Brain自诞生起便与谷歌的搜索、广告和基础设施体系深度绑定，天然具有工程交付属性。DeepMind则始终将自身定位为接近"阿波罗计划"的事业——先解决智能本身，再用智能解决一切问题。<strong>Hassabis的核心兴趣从未是提升下一季度的Token销售，而是<a href=\"https://laohu8.com/S/AGBK\">AGI</a>、世界模型与科学发现；AlphaFold的诺贝尔奖级成就，也赋予这种长期主义以无可辩驳的正当性。</strong></p><p style=\"text-align: left;\">过去三年，谷歌一边要求DeepMind服务于数十亿用户规模的商业产品需求，一边又不愿放弃DeepMind作为顶级研究圣地的光环。</p><p style=\"text-align: left;\"><strong>据与谷歌AI高层多有接触的行业人士描述，在冲刺Gemini 2.5的阶段，负责数据管线和RLHF等核心工作的团队已以创业公司的节奏通宵加班，但保持研究院风格的DeepMind部分团队仍在"探索某两个方向如何结合"的松弛惯性中运转。</strong></p><p style=\"text-align: left;\">Hassabis在组织上名义主导全局，实际关注却始终指向AGI与科学使命；Jeff Dean保留着首席科学家头衔，但Google Brain路线在合并后已逐渐失去组织主导权；Koray Kavukcuoglu则被悄然赋予越来越多的产品整合责任，权力结构早已悄然改变，头衔却仍保留着旧秩序的外壳。</p><h2 style=\"text-align: left;\">权力转移早在一年前完成</h2><p style=\"text-align: left;\">事实上，此次人事调整不过是将过去一年已经发生的权力变化彻底制度化。</p><p style=\"text-align: left;\">2025年6月，谷歌为Kavukcuoglu专门设立Chief AI Architect职位，同时晋升其为高级副总裁，并将汇报线调整为直接向Pichai负责。Pichai在内部备忘录中写明，Kavukcuoglu的新使命是让谷歌最领先的模型更快进入产品，实现更顺畅的整合、更快的迭代与更高的效率。</p><p style=\"text-align: left;\">谷歌对Kavukcuoglu的官方定位也在彼时悄然转变——不再只是DeepMind的技术负责人，而是明确领导Gemini生成式AI模型的开发及其在谷歌产品中的规模化集成。他是DeepMind早期成员，曾参与构建DQN深度强化学习系统，师从AI先驱Yann LeCun，研究背景扎实；与Hassabis不同的是，他在讨论技术路线时总会最终落回到具体的产品落地与用户需求。</p><p style=\"text-align: left;\">在Kavukcuoglu看来，原生多模态的价值不在于跑分，而在于使模型能够完成此前根本无法完成的任务。这种务实导向，正是谷歌当前阶段所需要的。谷歌不是今天才认定Kavukcuoglu更适合掌管Gemini，只是一直不愿公开否定Hassabis的领导安排。</p><h2 style=\"text-align: left;\">谷歌的"TBD战略"与工业化AI时代</h2><p style=\"text-align: left;\"><strong>谷歌过去三年奉行的，实质上是一种"待定（TBD）战略"——在"伟大研究机构"与"残酷模型产品公司"之间始终不愿作出清晰选择，寄望于两全其美，结果两端皆未做到最好。</strong></p><p style=\"text-align: left;\">这一逻辑在AI发展早期尚能成立——当时一次底层技术突破仍可拉开代际差距，天才时刻值得等待。但进入当前阶段，模型竞争越来越依赖高密度实验、数据工程、推理优化、成本控制和持续交付，而非等待下一个AlphaGo时刻。每三个月不掉队，成为比"下一个十年改变科学"更紧迫的生存命题。</p><p style=\"text-align: left;\">此次调整后，谷歌形成了新的分工格局：<strong>Kavukcuoglu带队高强度训练与迭代；Pichai负责将模型嵌入谷歌旗下每一项业务；Hassabis转向AGI、科学发现与Isomorphic Labs的AI制药研究；Jeff Dean则携手老搭档重新创业，谷歌为其提供投资与云服务支持，静待未来技术成果纳入生态。</strong></p><p style=\"text-align: left;\">这是一种现实主义的安排，也是一次明确的失败承认。那个让外界相信大公司可以由一群天才科学家决定AI方向的谷歌，正在成为历史。至于谷歌能否在Kavukcuoglu的工业化执行逻辑下重建竞争力，还是会步入更深的人才离心漩涡，市场正在寻找答案——而Gemini 3.5 Pro何时亮相，将是最早的一块试金石。</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Gemini崩塌，Meta反超成为“AI老三”？谷歌会是一年前的Meta 吗？</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nGemini崩塌，Meta反超成为“AI老三”？谷歌会是一年前的Meta 吗？\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">华尔街见闻 </p>\n<p class=\"h-time\">2026-08-07 14:11</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p style=\"text-align: left;\"><a href=\"https://laohu8.com/S/GOOG\">谷歌</a>正在经历一场创立近30年来最深刻的AI领导层重组。Gemini旗舰模型持续落后、顶尖人才集体出走，迫使谷歌在"伟大研究机构"与"残酷模型产品公司"之间作出迟来已久的抉择——而这个抉择，正在从根本上重塑这家公司的AI战略逻辑。</p><p style=\"text-align: left;\">2026年8月5日，谷歌宣布Demis Hassabis卸任Google DeepMind CEO，转任Alphabet首席科学家及Google DeepMind董事长。消息发布仅数分钟前，在谷歌工作27年的Jeff Dean与Oriol Vinyals、Sanjay Ghemawat、Quoc Le联合宣布离职，创立AI科研公司Discovery Loop。与此同时，Koray Kavukcuoglu接任Google DeepMind日常运营，全面掌管模型开发、前沿研究、Gemini应用及开发者生态，直接向CEO Sundar Pichai汇报。消息公布后，谷歌母公司Alphabet股价单日蒸发逾1800亿美元。</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e66fae0542ac8a19b9201ac78c965163\" data-align=\"center\" tg-width=\"1930\" tg-height=\"1212\"/><span></span></p><p style=\"text-align: left;\">这是一次早已酝酿的权力转移的最终制度化，而非突如其来的人事地震。原定于2026年夏季发布的Gemini 3.5 Pro迟迟未能上线，OpenAI和Anthropic则在coding agent、长任务执行等关键赛道持续领跑。就在不到两个月前，参与设计Gemini技术架构的Noam Shazeer已转投OpenAI，与Hassabis共同获得诺贝尔奖的John Jumper则加盟Anthropic。<strong><a href=\"https://laohu8.com/S/GOOGL\">谷歌A</a>I黄金一代的集体撤离，标志着一个时代的终结。</strong></p><h2 style=\"text-align: left;\">旗舰模型延期，人才外流加速</h2><p style=\"text-align: left;\">Gemini 3.5 Pro的发布延误是此次管理层变动最直接的导火索。据报道，该模型原计划于今年夏天推出，截至7月下旬仍处于合作伙伴测试阶段，谷歌仅表示将在"准备好后"广泛上线。与此同时，内部团队已启动Gemini 4的训练工作。</p><p style=\"text-align: left;\">人才流失同步加剧。此次与Jeff Dean一同出走的Oriol Vinyals，曾是谷歌对抗Anthropic和OpenAI的核心将领之一。在更早之前，Noam Shazeer加入OpenAI，John Jumper转投Anthropic。Jeremy Nixon曾在Google Brain从事研究工作，他将Jeff Dean的离职形容为"几乎难以想象"，并警告称："这可能是谷歌长期以来首次真正意义上的危机时刻。谷歌的人才流失速度无人能及。"</p><p style=\"text-align: left;\">谷歌7月发布了若干小型AI模型，包括一款专注网络安全的产品，在编程和金融任务基准测试中表现尚可，但未能超越竞争对手。与此同时，谷歌维持着大规模资本投入——公司预计今年在数据中心及AI基础设施上的支出将达1950亿至2050亿美元，较去年的850亿美元翻番以上。</p><h2 style=\"text-align: left;\">三年组织矛盾的总爆发</h2><p style=\"text-align: left;\">此次调整的根源，可追溯至2023年4月谷歌将Google Brain与DeepMind合并的决定。合并之初，外界普遍将其解读为集中顶尖AI人才、加速研发的战略之举。然而，谷歌在合并时混淆了两个性质截然不同的问题：人才能否集中，与集中后应做什么，是两回事。</p><p style=\"text-align: left;\">Google Brain自诞生起便与谷歌的搜索、广告和基础设施体系深度绑定，天然具有工程交付属性。DeepMind则始终将自身定位为接近"阿波罗计划"的事业——先解决智能本身，再用智能解决一切问题。<strong>Hassabis的核心兴趣从未是提升下一季度的Token销售，而是<a href=\"https://laohu8.com/S/AGBK\">AGI</a>、世界模型与科学发现；AlphaFold的诺贝尔奖级成就，也赋予这种长期主义以无可辩驳的正当性。</strong></p><p style=\"text-align: left;\">过去三年，谷歌一边要求DeepMind服务于数十亿用户规模的商业产品需求，一边又不愿放弃DeepMind作为顶级研究圣地的光环。</p><p style=\"text-align: left;\"><strong>据与谷歌AI高层多有接触的行业人士描述，在冲刺Gemini 2.5的阶段，负责数据管线和RLHF等核心工作的团队已以创业公司的节奏通宵加班，但保持研究院风格的DeepMind部分团队仍在"探索某两个方向如何结合"的松弛惯性中运转。</strong></p><p style=\"text-align: left;\">Hassabis在组织上名义主导全局，实际关注却始终指向AGI与科学使命；Jeff Dean保留着首席科学家头衔，但Google Brain路线在合并后已逐渐失去组织主导权；Koray Kavukcuoglu则被悄然赋予越来越多的产品整合责任，权力结构早已悄然改变，头衔却仍保留着旧秩序的外壳。</p><h2 style=\"text-align: left;\">权力转移早在一年前完成</h2><p style=\"text-align: left;\">事实上，此次人事调整不过是将过去一年已经发生的权力变化彻底制度化。</p><p style=\"text-align: left;\">2025年6月，谷歌为Kavukcuoglu专门设立Chief AI Architect职位，同时晋升其为高级副总裁，并将汇报线调整为直接向Pichai负责。Pichai在内部备忘录中写明，Kavukcuoglu的新使命是让谷歌最领先的模型更快进入产品，实现更顺畅的整合、更快的迭代与更高的效率。</p><p style=\"text-align: left;\">谷歌对Kavukcuoglu的官方定位也在彼时悄然转变——不再只是DeepMind的技术负责人，而是明确领导Gemini生成式AI模型的开发及其在谷歌产品中的规模化集成。他是DeepMind早期成员，曾参与构建DQN深度强化学习系统，师从AI先驱Yann LeCun，研究背景扎实；与Hassabis不同的是，他在讨论技术路线时总会最终落回到具体的产品落地与用户需求。</p><p style=\"text-align: left;\">在Kavukcuoglu看来，原生多模态的价值不在于跑分，而在于使模型能够完成此前根本无法完成的任务。这种务实导向，正是谷歌当前阶段所需要的。谷歌不是今天才认定Kavukcuoglu更适合掌管Gemini，只是一直不愿公开否定Hassabis的领导安排。</p><h2 style=\"text-align: left;\">谷歌的"TBD战略"与工业化AI时代</h2><p style=\"text-align: left;\"><strong>谷歌过去三年奉行的，实质上是一种"待定（TBD）战略"——在"伟大研究机构"与"残酷模型产品公司"之间始终不愿作出清晰选择，寄望于两全其美，结果两端皆未做到最好。</strong></p><p style=\"text-align: left;\">这一逻辑在AI发展早期尚能成立——当时一次底层技术突破仍可拉开代际差距，天才时刻值得等待。但进入当前阶段，模型竞争越来越依赖高密度实验、数据工程、推理优化、成本控制和持续交付，而非等待下一个AlphaGo时刻。每三个月不掉队，成为比"下一个十年改变科学"更紧迫的生存命题。</p><p style=\"text-align: left;\">此次调整后，谷歌形成了新的分工格局：<strong>Kavukcuoglu带队高强度训练与迭代；Pichai负责将模型嵌入谷歌旗下每一项业务；Hassabis转向AGI、科学发现与Isomorphic Labs的AI制药研究；Jeff Dean则携手老搭档重新创业，谷歌为其提供投资与云服务支持，静待未来技术成果纳入生态。</strong></p><p style=\"text-align: left;\">这是一种现实主义的安排，也是一次明确的失败承认。那个让外界相信大公司可以由一群天才科学家决定AI方向的谷歌，正在成为历史。至于谷歌能否在Kavukcuoglu的工业化执行逻辑下重建竞争力，还是会步入更深的人才离心漩涡，市场正在寻找答案——而Gemini 3.5 Pro何时亮相，将是最早的一块试金石。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/f41a30bb04d9de6640eaefee10257833","relate_stocks":{"IE000WAW04H5.SGD":"RQI GLOBAL \"I\" (SGD) INC A","LU2362540622.SGD":"WELLINGTON NEXT GENERATION GLOBAL EQUITY \"A\" (SGDHDG) ACC","SG9999014914.USD":"UNITED GLOBAL QUALITY GROWTH (USDHDG) INC","METU":"2倍做多META ETF-Direxion","IE000SO60NU8.SGD":"RQI GLOBAL \"I\" (SGDHDG) ACC A","LU0130103400.USD":"Natixis Harris Associates Global Equity RA USD","METV":"Roundhill Ball Metaverse ETF","LU0472753341.HKD":"SUSTAINABLE GLOBAL THEMATIC PORTFOLIO \"A\" (HKD) ACC","LU2242649171.HKD":"FIDELITY FUNDS GLOBAL THEMATIC OPPORTUNITIES \"A\" (HKD) ACC","LU1201861165.SGD":"Natixis Harris Associates Global Equity PA SGD","METW":"Roundhill META WeeklyPay™ ETF","LU1201861249.SGD":"Natixis 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Pichai汇报。消息公布后，谷歌母公司Alphabet股价单日蒸发逾1800亿美元。这是一次早已酝酿的权力转移的最终制度化，而非突如其来的人事地震。原定于2026年夏季发布的Gemini 3.5 Pro迟迟未能上线，OpenAI和Anthropic则在coding agent、长任务执行等关键赛道持续领跑。就在不到两个月前，参与设计Gemini技术架构的Noam Shazeer已转投OpenAI，与Hassabis共同获得诺贝尔奖的John Jumper则加盟Anthropic。谷歌AI黄金一代的集体撤离，标志着一个时代的终结。旗舰模型延期，人才外流加速Gemini 3.5 Pro的发布延误是此次管理层变动最直接的导火索。据报道，该模型原计划于今年夏天推出，截至7月下旬仍处于合作伙伴测试阶段，谷歌仅表示将在\"准备好后\"广泛上线。与此同时，内部团队已启动Gemini 4的训练工作。人才流失同步加剧。此次与Jeff Dean一同出走的Oriol Vinyals，曾是谷歌对抗Anthropic和OpenAI的核心将领之一。在更早之前，Noam Shazeer加入OpenAI，John Jumper转投Anthropic。Jeremy Nixon曾在Google Brain从事研究工作，他将Jeff Dean的离职形容为\"几乎难以想象\"，并警告称：\"这可能是谷歌长期以来首次真正意义上的危机时刻。谷歌的人才流失速度无人能及。\"谷歌7月发布了若干小型AI模型，包括一款专注网络安全的产品，在编程和金融任务基准测试中表现尚可，但未能超越竞争对手。与此同时，谷歌维持着大规模资本投入——公司预计今年在数据中心及AI基础设施上的支出将达1950亿至2050亿美元，较去年的850亿美元翻番以上。三年组织矛盾的总爆发此次调整的根源，可追溯至2023年4月谷歌将Google Brain与DeepMind合并的决定。合并之初，外界普遍将其解读为集中顶尖AI人才、加速研发的战略之举。然而，谷歌在合并时混淆了两个性质截然不同的问题：人才能否集中，与集中后应做什么，是两回事。Google Brain自诞生起便与谷歌的搜索、广告和基础设施体系深度绑定，天然具有工程交付属性。DeepMind则始终将自身定位为接近\"阿波罗计划\"的事业——先解决智能本身，再用智能解决一切问题。Hassabis的核心兴趣从未是提升下一季度的Token销售，而是AGI、世界模型与科学发现；AlphaFold的诺贝尔奖级成就，也赋予这种长期主义以无可辩驳的正当性。过去三年，谷歌一边要求DeepMind服务于数十亿用户规模的商业产品需求，一边又不愿放弃DeepMind作为顶级研究圣地的光环。据与谷歌AI高层多有接触的行业人士描述，在冲刺Gemini 2.5的阶段，负责数据管线和RLHF等核心工作的团队已以创业公司的节奏通宵加班，但保持研究院风格的DeepMind部分团队仍在\"探索某两个方向如何结合\"的松弛惯性中运转。Hassabis在组织上名义主导全局，实际关注却始终指向AGI与科学使命；Jeff Dean保留着首席科学家头衔，但Google Brain路线在合并后已逐渐失去组织主导权；Koray Kavukcuoglu则被悄然赋予越来越多的产品整合责任，权力结构早已悄然改变，头衔却仍保留着旧秩序的外壳。权力转移早在一年前完成事实上，此次人事调整不过是将过去一年已经发生的权力变化彻底制度化。2025年6月，谷歌为Kavukcuoglu专门设立Chief AI Architect职位，同时晋升其为高级副总裁，并将汇报线调整为直接向Pichai负责。Pichai在内部备忘录中写明，Kavukcuoglu的新使命是让谷歌最领先的模型更快进入产品，实现更顺畅的整合、更快的迭代与更高的效率。谷歌对Kavukcuoglu的官方定位也在彼时悄然转变——不再只是DeepMind的技术负责人，而是明确领导Gemini生成式AI模型的开发及其在谷歌产品中的规模化集成。他是DeepMind早期成员，曾参与构建DQN深度强化学习系统，师从AI先驱Yann LeCun，研究背景扎实；与Hassabis不同的是，他在讨论技术路线时总会最终落回到具体的产品落地与用户需求。在Kavukcuoglu看来，原生多模态的价值不在于跑分，而在于使模型能够完成此前根本无法完成的任务。这种务实导向，正是谷歌当前阶段所需要的。谷歌不是今天才认定Kavukcuoglu更适合掌管Gemini，只是一直不愿公开否定Hassabis的领导安排。谷歌的\"TBD战略\"与工业化AI时代谷歌过去三年奉行的，实质上是一种\"待定（TBD）战略\"——在\"伟大研究机构\"与\"残酷模型产品公司\"之间始终不愿作出清晰选择，寄望于两全其美，结果两端皆未做到最好。这一逻辑在AI发展早期尚能成立——当时一次底层技术突破仍可拉开代际差距，天才时刻值得等待。但进入当前阶段，模型竞争越来越依赖高密度实验、数据工程、推理优化、成本控制和持续交付，而非等待下一个AlphaGo时刻。每三个月不掉队，成为比\"下一个十年改变科学\"更紧迫的生存命题。此次调整后，谷歌形成了新的分工格局：Kavukcuoglu带队高强度训练与迭代；Pichai负责将模型嵌入谷歌旗下每一项业务；Hassabis转向AGI、科学发现与Isomorphic Labs的AI制药研究；Jeff Dean则携手老搭档重新创业，谷歌为其提供投资与云服务支持，静待未来技术成果纳入生态。这是一种现实主义的安排，也是一次明确的失败承认。那个让外界相信大公司可以由一群天才科学家决定AI方向的谷歌，正在成为历史。至于谷歌能否在Kavukcuoglu的工业化执行逻辑下重建竞争力，还是会步入更深的人才离心漩涡，市场正在寻找答案——而Gemini 3.5 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