内容来源：https://techcrunch.com/2026/01/23/whos-behind-ami-labs-yann-lecuns-world-model-startup/

内容总结：

AI科学家杨立昆创业项目揭晓，新公司AMI Labs瞄准“世界模型”赛道

人工智能领域知名科学家杨立昆（Yann LeCun）自离开Meta创立新公司AMI Labs以来，其动向一直备受业界关注。本周，这家初创公司正式公开其核心研发方向——构建能够理解真实世界的“世界模型”，并披露了团队构成、融资意向及总部选址等一系列关键信息。

根据AMI Labs新上线的官网信息，公司旨在通过开发“世界模型”来“构建理解真实世界的智能系统”。这一研究方向已成为当前AI领域最前沿的探索之一，吸引着顶尖科学家和雄厚资本的涌入。其直接竞争对手、由李飞飞创立的World Labs在推出首个产品后，估值已飙升至约50亿美元，显示出该赛道的巨大热度。

有传言称，AMI Labs正寻求以35亿美元的估值进行融资，潜在投资方包括凯辉基金等多家知名机构。尽管融资细节尚未最终确认，但杨立昆的行业声望使得市场对其公司获得资本青睐毫不怀疑。

值得注意的是，杨立昆本人将担任公司的执行董事长，而非首席执行官。CEO一职由Alex LeBrun出任。LeBrun曾是健康AI初创公司Nabla的联合创始人兼CEO，他与杨立昆此前在Meta的FAIR实验室已有共事经历。此外，Meta前欧洲副总裁Laurent Solly也已加入团队。杨立昆透露，Meta未来很可能成为AMI Labs的首个客户，但他也公开批评过Meta在扎克伯格领导下的部分战略选择。

公司明确表示，其技术路径不同于当前主流的大语言模型。杨立昆团队认为，生成式方法难以处理传感器输入等不可预测的数据，且存在“幻觉”问题。AMI Labs致力于开发具备持久记忆、推理规划能力且安全可控的AI系统，重点应用于对可靠性、安全性要求极高的领域，如工业流程控制、自动化、医疗保健和机器人等。

商业模式上，公司计划向行业合作伙伴授权技术以进行现实应用，同时承诺将通过开放出版物和开源方式与全球学术研究社区共建AI未来。杨立昆将继续保留其在纽约大学的教授职位。

在公司布局方面，AMI Labs将全球总部设在法国巴黎，并在蒙特利尔、纽约和新加坡设立办公室。这一决定获得了法国总统马克龙的公开欢迎，他表示将全力支持公司在法国取得成功。此举也将进一步巩固巴黎作为全球AI重要枢纽的地位，该公司将与H、Mistral AI及FAIR等国际知名实验室并肩。杨立昆特别指出，AMI的发音“a-mee”在法语中意为“朋友”，这或许是一个恰如其分的注脚。

中文翻译：

人工智能科学家杨立昆离开Meta创立的新公司AMI实验室，自成立以来便备受瞩目。本周，这家初创企业终于揭晓了其研发方向——而若干关键细节其实早已有迹可循。

在其新上线的官网上，该公司披露了开发"世界模型"的计划，旨在"构建理解现实世界的智能系统"。虽然AMI（高级机器智能的缩写）这一名称已暗示其对世界模型的专注，但如今它已正式跻身最热门的人工智能研究初创公司行列。

构建连接人工智能与现实世界的基础模型已成为该领域最激动人心的追求之一，无论是否推出产品，都吸引着顶尖科学家和资金雄厚的投资者。由人工智能先驱李飞飞创立的直接竞争对手World Labs在结束隐匿状态后迅速成为独角兽企业。在推出首款产品——可生成物理精确3D世界的Marble之后，据报道World Labs正以50亿美元估值进行新一轮融资谈判。

毫无疑问，风险投资家们对投资杨立昆同样热情高涨，这为AMI实验室可能以35亿美元估值融资的传闻增添了可信度。据彭博社报道，与该公司洽谈的风投机构包括凯辉基金、Greycroft和Hiro Capital，杨立昆正是后者的顾问。其他潜在投资者据称还包括20VC、法国国家投资银行、Daphni和HV Capital。

无论最终投资方是谁，投资者可能需要关注一个重要细节：正如杨立昆明确表示的，他是AMI的执行主席而非首席执行官。CEO一职由Alex LeBrun担任，他此前是健康人工智能初创公司Nabla的联合创始人兼CEO，该公司在巴黎和纽约设有办事处。

LeBrun从Nabla转战AMI，源于去年12月Nabla宣布的一项合作。这家开发临床护理人工智能助理的公司，其顾问正是杨立昆。为换取AMI世界模型的"优先使用权"，Nabla董事会支持LeBrun从CEO转型为首席人工智能科学家兼董事长，为其新角色铺平道路。

作为AMI实验室的CEO，LeBrun将与众多熟悉的面孔共事。在Facebook收购其前初创公司Wit.ai后，这位连续创业者和人工智能工程师曾在Meta人工智能研究实验室FAIR接受杨立昆的领导。据报道，去年12月卸任Meta欧洲副总裁的Laurent Solly也将加入他们的行列。

AMI与Meta之间的人才交集可能不止于此。杨立昆向《麻省理工科技评论》透露，他的前东家很可能成为AMI的首个客户。但他也公开批评过马克·扎克伯格领导下Meta的部分战略选择。更广泛地说，该评论将AMI实验室解读为对大型语言模型的反向押注。

杨立昆指出的LLM局限性包括幻觉问题，这在医疗等场景中尤为严峻——LeBrun对此也有切身体会。这位AMI实验室CEO告诉《福布斯》，他接受该职位的重要原因正是世界模型在医疗保健领域的应用前景。不过这家初创公司还将瞄准其他高风险应用领域。

"AMI实验室将推进人工智能研究，开发可靠性、可控性和安全性至关重要的应用，特别是在工业过程控制、自动化、可穿戴设备、机器人、医疗保健等领域，"公司在使命宣言中写道，"我们秉持一个信念：真正的智能并非始于语言，而是始于世界。"

与生成式方法不同——杨立昆团队认为该方法难以适应传感器输入等不可预测数据——这家初创公司承诺其人工智能系统不仅能理解现实世界，还将具备持久记忆、推理规划能力，且安全可控。

该公司计划向行业合作伙伴授权技术以进行实际应用，但同时也表示将"通过开放出版物和开源方式，与全球学术研究界共同构建人工智能的未来"。杨立昆称他计划保留纽约大学教授职位，每年教授一门课程并指导博士生和博士后。

这意味着这位法裔研究员将继续常驻纽约，但他告诉《麻省理工科技评论》，AMI实验室"将成为一家总部设在巴黎的全球性企业"。这一决定获得了法国总统埃马纽埃尔·马克龙的欢迎，他对这位图灵奖得主选择巴黎表示自豪："我们将竭尽所能确保他在法国取得成功。"

除巴黎总部外，公司还将在蒙特利尔、纽约和新加坡设立办事处。选择巴黎作为总部将巩固其作为人工智能中心的声誉，届时AMI将与H、Mistral AI及包括FAIR在内的多家国际实验室并肩而立。或许恰如其分的是，正如杨立昆指出的，AMI的发音"a-mee"在法语中意为"朋友"。

英文来源：

Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have been hiding in plain sight.
On its newly launched website, the startup disclosed its plans to develop “world models” in order to “build intelligent systems that understand the real world.” The focus on world models was already hinted at by AMI’s name, which stands for Advanced Machine Intelligence, but it has now officially joined the ranks of the hottest AI research startups.
Building foundational models that bridge AI and the real world has become one of the field’s most exciting pursuits, attracting top scientists and deep-pocketed investors alike — product or no product.
World Labs, a direct rival founded by AI pioneer Fei-Fei Li, became a unicorn shortly after coming out of stealth. After launching its first product, Marble, which generates physically sound 3D worlds, World Labs is now reportedly in talks to raise fresh funding at a valuation of $5 billion.
There’s little doubt that VCs would be equally eager to invest in LeCun, adding credibility to rumors that AMI Labs might be raising funding at a $3.5 billion valuation. According to Bloomberg, VCs in talks with the startup include Cathay Innovation, Greycroft, and Hiro Capital, to which LeCun is an advisor. Other potential investors reportedly include 20VC, Bpifrance, Daphni, and HV Capital.
Regardless of who writes the checks, investors may want to note an important detail: As LeCun has made clear, he is AMI’s executive chairman, not its CEO. Instead, that role belongs to Alex LeBrun, previously co-founder and CEO at Nabla, a health AI startup with offices in Paris and New York.
LeBrun’s transition from Nabla to AMI is part of a partnership announced last December by Nabla, which develops AI assistants for clinical care and to which LeCun has been an advisor. In exchange for “privileged access” to AMI’s world models, Nabla’s board supported LeBrun’s shift from CEO to chief AI scientist and chairman, clearing the way for his new role.
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As AMI Labs’ CEO, LeBrun will be surrounded by familiar faces. After Facebook acquired his previous startup, Wit.ai, the serial entrepreneur and AI engineer worked under LeCun’s leadership at Meta’s AI research laboratory, FAIR. According to reports, the duo will also be joined by Laurent Solly, who stepped down as Meta’s vice president for Europe last December.
The talent overlap between AMI and Meta likely won’t stop there. LeCun told the MIT Technology Review that his former employer could well be AMI’s first client. But he has also been publicly critical of some of Meta’s strategic choices made under Mark Zuckerberg’s direction. More broadly, the Review interprets AMI Labs as a contrarian bet against large language models (LLMs).
The limitations of LLMs that LeCun has pointed out include hallucinations, which are a serious concern in contexts like medicine, as LeBrun also knows firsthand. AMI Labs’ CEO told Forbes that a big reason he took the role was the prospect of applying its world models to healthcare. But the startup will also target other high-stakes applied fields.
“AMI Labs will advance AI research and develop applications where reliability, controllability, and safety really matter, especially for industrial process control, automation, wearable devices, robotics, healthcare, and beyond,” it wrote in its mission statement. “We share one belief: real intelligence does not start in language. It starts in the world.”
Unlike generative approaches, which LeCun and his team see as poorly suited for unpredictable data such as sensor input, the startup promises that its AI systems will not only understand the real world, but also have persistent memory, the ability to reason and plan, and be controllable and safe.
The startup plans to license its technology to industry partners for real-life applications, but says it also plans to contribute to building the future of AI “with the global academic research community via open publications and open source.” LeCun said he plans to keep his professor position at NYU, where he teaches one class per year and supervises PhD and postdoctoral students.
This means that the French-born researcher will remain based in New York, but he told the MIT Technology Review that AMI Labs “is going to be a global company [that’s] headquartered in Paris.” The news was welcomed by French President Emmanuel Macron, who expressed his pride that LeCun, who is also a Turing Prize winner, chose Paris. “We will do everything we can to ensure his success from France,” he said.
The startup will also have offices in Montreal, New York, and Singapore, but its decision to pick Paris for its headquarters will help consolidate Paris’ reputation as an AI hub, where it will join the ranks of H, Mistral AI and several international labs, including FAIR. It’s fitting, perhaps, that AMI is pronounced a-mee — like “ami” in French, which means “friend,” LeCun has pointed out.