告别LeCun，借力阿里，Meta能靠千问翻盘么？

品玩2025-12-12

谁也没想到，曾经高举“开源大旗”的Meta，会以这样一种充满讽刺意味的方式宣告新时代的到来。本周，彭博社爆出一则重磅消息：Meta正在秘密研发代号为“Avocado”（牛油果）的新一代旗舰模型。与以往不同，这将是一个彻底的闭源模型。Meta还向英伟达追加50亿美元芯片订单，并宣布未来数年投入6000亿美元All in AI。一切都在表明：扎克伯格已经没有退路了。Llama4口碑翻车之后，其缔造者...

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Qianwen?","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"ALBmain":0.6,"BABA":1.91,"09988":1.91,"META":1.98},"content_text":"谁也没想到，曾经高举“开源大旗”的Meta，会以这样一种充满讽刺意味的方式宣告新时代的到来。本周，彭博社爆出一则重磅消息：Meta正在秘密研发代号为“Avocado”（牛油果）的新一代旗舰模型。与以往不同，这将是一个彻底的闭源模型。Meta还向英伟达追加50亿美元芯片订单，并宣布未来数年投入6000亿美元All in AI。一切都在表明：扎克伯格已经没有退路了。Llama4口碑翻车之后，其缔造者Yann LeCun在内部受到了巨大的挑战，在上个月，他刚刚宣布离职。LeCun坚持科学家的理想主义，主张开源共享和探索“世界模型”，这与扎克伯格急于商业变现、追求“超智能”产品的野心始终格格不入。LeCun的离开，实际上宣告了Meta内部理想主义时代的终结。取而代之的是以143亿美元天价挖来的Scale AI创始人Alexandr Wang，并围绕他组建了全新的“超智能实验室”。与LeCun不同，Alexandr Wang是坚定的“闭源主义”拥护者，他的上位意味着Meta关上开源大门早已是板上钉钉的事。然而真正讽刺的是这场翻盘战的“弹药来源”。据彭博社披露，Avocado在训练中蒸馏了谷歌Gemma、OpenAI GPT-oss，以及阿里巴巴的通义千问。没错，那个扎克伯格曾经看不上、呼吁要对抗的中国开源模型，如今成了他闭源堡垒的基石。告别了LeCun的“体面”，借力了阿里的“实惠”，扎克伯格证明了一件事：在硅谷，没有什么信仰是输不起的时候不能抛弃的，也没有什么敌人的武器是不能捡起的。此时此刻，Meta为何必须“抄作业”？2025年的硅谷AI战场，已经是生死时速。11月，谷歌发布Gemini 3，在推理、编程和通用智能测试上全面超越GPT-5.1，并宣称开启了“智能新纪元”。OpenAI随即进入“紧急状态”，CEO Sam Altman下达“红色警报”，紧急准备发布GPT-5.2以遏制谷歌势头。而Meta呢？它连参与这场战争的资格都没有。Meta现在的处境极为尴尬。2025年发布的Llama 4表现平淡，不仅没有兑现年初的承诺，在权威榜单LM Arena上的排名甚至暴跌至第32位，核心能力落后主流竞品近50%。这意味着，Meta目前手里连一张能打的牌都没有。如果现在选择“从头开始”预训练一个新的基座模型，不仅需要消耗数月的时间清洗数据、调整算力，还要面临巨大的不确定性。对于急于推出“超智能”产品，这意味着Meta每拖延一天，就会流失更多潜在客户。而且对于扎克伯格期望的2026年实现商业变现，时间就是最大的敌人。基于现成的、已被验证的开源方案进行蒸馏和微调，是快速追平差距、重返牌桌的唯一捷径。随着Yann LeCun的离职，Meta内部经历了一场血腥的清洗。LeCun一直坚持学术理想和“世界模型”，对大语言模型（LLM）的商业化前景持怀疑态度，这导致Llama项目在后期战略上摇摆不定。扎克伯格早已失去了耐心，他清洗了FAIR实验室，裁掉了约600名研究人员，并引入了Scale AI创始人Alexandr Wang等“实战派”。现在的Meta，学术界的理想主义者所剩无几，剩下的是一群以结果为导向的产业界工程师。对于这群新掌权者而言，Llama是一个属于过去时代的、久未更新且背负着沉重“学术包袱”的旧资产。Llama 4的失败已经证明了原有路线的低效，与其在一个已经落后的架构上修修补补，不如直接利用市场上现成的最强模型作为燃料，为新的“战争机器”Avocado加速。扎克伯格现在的战略是“Move faster”，既然DeepSeek等竞争对手已经证明了可以通过借鉴开源模型（比如千问）来快速构建强大的闭源能力，Meta没有理由死守“纯自研”的虚名。通过蒸馏千问和Gemma，Meta可以低成本地补齐自己在多语言和特定任务上的短板，将数百亿美元的资源集中在更高层的产品化和商业变现上。为什么是千问？非常有意思的是，扎克伯格并没有选择DeepSeek R1，而是选中了千问。这背后暴露了扎克伯格作为产品经理而非科学家的毒辣眼光：他需要的不是一个偏科的“天才”，而是一个能扛住十亿级用户压力的“全能基座”。千问展现出的能力不仅仅是单点的突破，而是综合素质的全面碾压。2025年4月29日，阿里正式发布了千问3系列，此次发布包括多款模型，从0.6B参数的轻量级版本到235B总参数的旗舰MoE模型不等，并将语言理解、逻辑推理、代码生成高度融合在同一个架构下的综合能力，提供了极强的可扩展性。对于试图构建“超智能”系统的Meta来说，千问提供了一个比DeepSeek更宽广、更稳健的地基。我们推测第二个核心逻辑，在于其惊人的泛化能力和家族完整性。与许多开源模型“单兵作战”不同，阿里通义千问提供的是一个“全尺寸、全模态”的军火库。千问系列模型针对不同规模和场景进行了优化，覆盖从移动端到企业级服务器的全谱系应用需求，同时千问系列也保证了小模型媲美大参数的模型性能，对算力和部署环境的需求进一步降低。这种通用性早已被硅谷验证过：Airbnb CEO Brian Chesky公开表示，公司正在“大量依赖千问”，认为其在速度和表现上优于部分商业闭源模型。英伟达CEO黄仁勋也在公开场合提到，千问在全球开源模型市场占据了很大份额。2025年5月，黄仁勋在财报电话会上表示，中国千问是开源AI模型之中最好的。既然千问的可靠性已经被多家科技巨头所验证，Meta的拿来主义显得顺理成章且风险极低。过去三年，阿里自主研发的千问千问系列模型已在全球开源AI领域建立起领先水平。截至目前，千问系列模型在全球主要模型社区的累计下载量已突破7亿，衍生模型数量超过18万，成为全球开发者和企业采用最广泛的开源模型之一。最后，也是最关键的一点，扎克伯格不仅看重技术指标，更看重产品落地的实战数据。Meta最终的模型势必是要服务于几十亿C端用户。在目前的开源模型阵营中，唯有千问背后拥有一个现象级的C端产品作为支撑。2025年12月10日，阿里官宣，千问App上线23天，月活突破3000万，成为全球增长最快的AI应用。这一成绩意味着什么？今年9月，中国月活跃用户排名前三的AI应用中，豆包、DeepSeek、腾讯元宝分列前三，MAU分别为1.72亿、1.45亿、3286万。通义排在第十，月活跃用户仅有306万。仅仅两个月后，千问就从300万月活飙升至3000万，增长了近10倍，这是一个令人惊讶的增长曲线。对于Meta来说，这一数据证明了千问不仅是一个实验室里的高分模型，更是一个经受住了大规模市场考验的“工业级产品”。据黄仁勋所言，千问已成为硅谷AI基础设施的重要组成部分。扎克伯格选择蒸馏千问，本质上是在复制这种已经被市场验证过的成功：他不仅想要千问的模型参数，更想要复刻千问App那种从基座模型到爆款应用的顺滑路径。当一个开源模型不仅在基准测试中名列前茅，还能在短短23天内收获3000万月活用户时，它就不再仅仅是一个“技术方案”，而是一个已经被证明可行的“商业模板”。这是扎克伯格真正想要的东西。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 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