扎克伯格挖来一堆牛人，宣布成立新的部门Meta Superintelligence Labs打算大干一场， 下面是给员工的公开信。 As the pace of AI progress accelerates, developing superintelligence is coming into sight. I believe this will be the beginning of a new era for humanity, and I am fully committed to doing what it takes for Meta to lead the way. Today I want to share some details about how we’re organizing our AI efforts to build towards our vision: personal superintelligence for everyone. We’re going to call our overall organization Meta Superintelligence Labs (MSL). This includes all of our foundations, product, and FAIR teams, as well as a new lab focused on developing the next generation of our models. Alexandr Wang has joined Meta to serve as our Chief AI Officer and lead MSL. Alex and I have worked together for several years, and I consider him to be the most impressive founder of his generation. He has a clear sense of the historic importance of superintelligence, and as co-founder and CEO he built ScaleAI into a fast-growing company involved in the development of almost all leading models across the industry. Nat Friedman has also joined Meta to partner with Alex to lead MSL, heading our work on AI products and applied research. Nat will work with Connor to define his role going forward. He ran GitHub at Microsoft, and most recently has run one of the leading AI investment firms. Nat has served on our Meta Advisory Group for the last year, so he already has a good sense of our roadmap and what we need to do. We also have several strong new team members joining today or who have joined in the past few weeks that I’m excited to share as well: Trapit Bansal -- pioneered RL on chain of thought and co-creator of o-series models at OpenAI. Shuchao Bi -- co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAI. Huiwen Chang -- co-creator of GPT-4o’s image generation, and previously invented MaskGIT and Muse text-to-image architectures at Google Research Ji Lin -- helped build o3/o4-mini, GPT-4o, GPT-4.1, GPT-4.5, 4o-imagegen, and Operator reasoning stack. Joel Pobar -- inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning. Jack Rae -- pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind. Hongyu Ren -- co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAI. Johan Schalkwyk -- former Google Fellow, early contributor to Sesame, and technical lead for Maya. Pei Sun -- post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo’s perception models. Jiahui Yu -- co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAI, and co-led multimodal at Gemini. Shengjia Zhao -- co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAI. I’m excited about the progress we have planned for Llama 4.1 and 4.2. These models power Meta AI, which is used by more than 1 billion monthly actives across our apps and an increasing number of agents across Meta that help improve our products and technology. We’re committed to continuing to build out these models. In parallel, we’re going to start research on our next generation of models to get to the frontier in the next year or so. I’ve spent the past few months meeting top folks across Meta, other AI labs, and promising startups to put together the founding group for this small talent-dense effort. We’re still forming this group and we’ll ask several people across the AI org to join this lab as well. Meta is uniquely positioned to deliver superintelligence to the world. We have a strong business that supports building out significantly more compute than smaller labs. We have deeper experience building and growing products that reach billions of people. We are pioneering and leading the AI glasses and wearables category that is growing very quickly. And our company structure allows us to move with vastly greater conviction and boldness. I’m optimistic that this new influx of talent and parallel approach to model development will set us up to deliver on the promise of personal superintelligence for everyone. We have even more great people at all levels joining this effort in the coming weeks, so stay tuned. I’m excited to dive in and get to work.
今天凌晨，据连线杂志报道，OpenAI 首席研究官 Mark Chen 于周六在公司 Slack 上向全体员工发出了一封措辞强硬的内部信，表示要和 Meta 在人才抢夺战中硬碰硬。
据悉，这封内部信是在 Meta 从 OpenAI 挖走四位华人高级研究员后发出的。“我现在有种发自内心的感觉，就像有人闯进我们家偷走了什么东西一样。” Chen 在信中写道，“请相信，我们并没有袖手旁观。”
据他所说，他正与 OpenAI CEO Sam Altman 以及公司高管团队昼夜连轴转，一个个联系那些被 Meta 盯上的人。他明确表示：OpenAI 正在重构薪酬机制，并尝试用更“有创意”的方式识别与奖励核心人才。
换句话说，就是砸钱、升职、加荣誉，只要愿意留下，一切都好说。
尽管如此，Chen 也强调，自己有底线，“对公平有很高的个人标准……虽然我会尽全力留下你们每一个人，但我不会以牺牲对他人的公平为代价。”
目前，硅谷争夺顶尖 AI 研究人才的竞争愈演愈烈。根据此前 Sam Altman 在与弟弟 Jack Altman 的播客节目中的说法，扎克伯格手段尤其激进，向部分 OpenAI 员工开出了 1 亿美元的签约奖金。多位直接了解相关邀约的 OpenAI 内部人士证实了这一数字。
不过，在上周 Meta 全员大会上，CTO Andrew Bosworth 也回应了 OpenAI CEO Sam Altman 所称的“Meta 用 1 亿美元签约金挖角”一事，直指其夸大其词。 Bosworth 表示，所谓高额待遇仅适用于极少数高级岗位。“我非常清楚他为什么这么说：因为我们确实成功吸引了一些 OpenAI 的人才，而他对此显然并不高兴。” 另外，据《华尔街日报》报道，为了挖到 AI 顶尖人才，Meta CEO 扎克伯格也亲自出面联系潜在挖角对象。
比如扎克伯格花了数月时间整理出一份 AI 顶尖工程师和研究人员名单。
被列入“名单”的人通常都有来自伯克利、卡耐基梅隆等名校的博士学位，曾在旧金山的 OpenAI、伦敦的 Google DeepMind 等地工作过。 他们大多二三十岁——彼此都相互认识。他们整天盯着屏幕，解决那些需要巨大算力的深奥难题，且通常都需要具备高等数学、线性代数、概率论等扎实功底。
在 Llama 4 遭遇滑铁卢之后，扎克伯格尤其希望他们能加入旗下新成立的超级智能团队——专注于开发比人类更聪明的 AI。 为此，扎克伯格甚至和两位 Meta 高管建了个群聊叫“招聘小组”，讨论上百位候选人以及接触策略，连到底是用电子邮件、短信，还是 WhatsApp 联络效果更好，都要斟酌再三。
一位知情人士向连线杂志透露，Meta 最近确实大幅加大了研究人员的招募力度，尤其盯上了来自 OpenAI 和 Google 的人才。 虽然 Anthropic 也是竞争对手，但据一名消息人士称，它与 Meta 的文化契合度相对较低。“他们不一定在大规模扩充团队，但为了挖到顶尖人才，条件几乎可以无限放宽。”这位人士表示。截至发稿前，OpenAI 和 Meta 均未回应置评请求。
为了安抚人心，Chen 的备忘录中还附上了公司其他七位研究领导者给员工的留言，其中一位研究团队的领导者甚至写道，如果收到 Meta 的邀约，可以找他谈谈： “如果他们施加压力，或者给出荒唐的‘即刻到期’的邀约，直接让他们冷静点，别在可能是人生最重要的决定上被催促。找我聊聊，我很清楚他们能给出什么价码。” 即便没有 Meta 的挖人风波，目前 OpenAI 内部气氛也颇为紧张。
据多位知情人士表示，OpenAI 不少员工一周工作时间高达 80 小时。因此，下周 OpenAI 将基本停工，让员工有时间休整，但高层仍会继续连轴转。 公司另一位领导者在 Chen 的备忘录中写道：“Meta 知道我们下周要休整，会趁机向你们施压，让你们快速、孤立地做决定。如果你感觉到了压力，随时找我或 Mark，我们都在这里，愿意支持你！”
虽然 OpenAI 高层正严肃对待 Meta 的挖角行动，Chen 也指出，OpenAI 此前在频繁的产品发布节奏和短期与竞争对手的比较中，太过陷入其中，这或许也间接回应了 OpenAI 近期狙击行为的减少。
一位曾与 Altman 紧密合作的前员工表示，Altman 曾经希望每隔几个月就有轰动性新消息，如今，公司似乎想把注意力更多放到实现通用人工智能（AGI）的长期目标上。
“我们需要继续专注于真正的终极目标，那就是把（今年晚些时候将上线的大量超级计算机）算力转化为智能。” Chen 写道，“这才是主要任务，要记住，和 Meta 的较量只是支线任务。”
“最后，这周我也会在公司——充好电，随时准备应战。随时私信我。” Sam Altman 在 Slack 上回复 Chen 的话语中也充满支持：“在这个过程中，看到 Mark 的领导力和正直令人印象深刻，尤其是当他需要做出艰难决定的时候。我们真的非常幸运能有他做我们的领导！”
As the pace of AI progress accelerates, developing superintelligence is coming into sight. I believe this will be the beginning of a new era for humanity, and I am fully committed to doing what it takes for Meta to lead the way. Today I want to share some details about how we’re organizing our AI efforts to build towards our vision: personal superintelligence for everyone. We’re going to call our overall organization Meta Superintelligence Labs (MSL). This includes all of our foundations, product, and FAIR teams, as well as a new lab focused on developing the next generation of our models.
Alexandr Wang has joined Meta to serve as our Chief AI Officer and lead MSL. Alex and I have worked together for several years, and I consider him to be the most impressive founder of his generation. He has a clear sense of the historic importance of superintelligence, and as co-founder and CEO he built ScaleAI into a fast-growing company involved in the development of almost all leading models across the industry.
Nat Friedman has also joined Meta to partner with Alex to lead MSL, heading our work on AI products and applied research. Nat will work with Connor to define his role going forward. He ran GitHub at Microsoft, and most recently has run one of the leading AI investment firms. Nat has served on our Meta Advisory Group for the last year, so he already has a good sense of our roadmap and what we need to do.
We also have several strong new team members joining today or who have joined in the past few weeks that I’m excited to share as well:
Trapit Bansal -- pioneered RL on chain of thought and co-creator of o-series models at OpenAI. Shuchao Bi -- co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAI. Huiwen Chang -- co-creator of GPT-4o’s image generation, and previously invented MaskGIT and Muse text-to-image architectures at Google Research Ji Lin -- helped build o3/o4-mini, GPT-4o, GPT-4.1, GPT-4.5, 4o-imagegen, and Operator reasoning stack. Joel Pobar -- inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning. Jack Rae -- pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind. Hongyu Ren -- co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAI. Johan Schalkwyk -- former Google Fellow, early contributor to Sesame, and technical lead for Maya. Pei Sun -- post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo’s perception models. Jiahui Yu -- co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAI, and co-led multimodal at Gemini. Shengjia Zhao -- co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAI.
I’m excited about the progress we have planned for Llama 4.1 and 4.2. These models power Meta AI, which is used by more than 1 billion monthly actives across our apps and an increasing number of agents across Meta that help improve our products and technology. We’re committed to continuing to build out these models.
In parallel, we’re going to start research on our next generation of models to get to the frontier in the next year or so. I’ve spent the past few months meeting top folks across Meta, other AI labs, and promising startups to put together the founding group for this small talent-dense effort. We’re still forming this group and we’ll ask several people across the AI org to join this lab as well.
Meta is uniquely positioned to deliver superintelligence to the world. We have a strong business that supports building out significantly more compute than smaller labs. We have deeper experience building and growing products that reach billions of people. We are pioneering and leading the AI glasses and wearables category that is growing very quickly. And our company structure allows us to move with vastly greater conviction and boldness. I’m optimistic that this new influx of talent and parallel approach to model development will set us up to deliver on the promise of personal superintelligence for everyone.
We have even more great people at all levels joining this effort in the coming weeks, so stay tuned. I’m excited to dive in and get to work.
如果真是里面要被挖角的员工， 千万别犯傻到和现在公司高管报告被竞争对手挖角。这种事要么就置之不理，要么就只做不说，而且跳槽没有回头路。