# To Seek a Newer World
**作者**: Fei-Fei Li
**日期**: 2026-09-28T20:07:51.000Z
**来源**: [https://x.com/drfeifei/status/2104664403681632453](https://x.com/drfeifei/status/2104664403681632453)
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World Labs is joining [@AMD](https://x.com/@AMD). This is a huge moment for [@theworldlabs](https://x.com/@theworldlabs), our team, and for me, and I wanted to take a moment to share what this means and why I’m so excited for this next chapter.
> “Come, my friends, ‘Tis not too late to seek a newer world.” – Lord Tennyson, Ulysses
## A coming of age story
AI to me is both personal and civilizational.
I entered the field as a fresh graduate student in the year 2000, chasing my curiosity for solving the problem of visual intelligence for machines and the brain. I didn’t know it then, but these were the first steps of a career that’s been (to my amazement) at the center of AI’s coming of age. The early work from my lab called ImageNet helped usher in the age of modern AI, along with neural network algorithms and their implementation on GPUs. Since then, I’ve spent my entire career pushing AI from largely an academic curiosity to become the most innovative and transformative technology of our era.
Throughout this time, from my research in computer vision, deep learning, robotics and healthcare, to founding Google Cloud’s AI unit as a chief scientist, to becoming the founding director of Stanford’s Human-Centered AI institute, my work has always been guided by the desire to solve real world problems, hand in hand with humans for societal betterment. When generative AI began its transformation, and frontier AI research at scale moved from academia to industry, I knew the path with the deepest and broadest potential for positive impact would be creating a startup to tackle the most audacious technical problems.
Together with my incredible co-founders Ben Mildenhall and Justin Johnson, two world class AI researchers who have each moved the field in significant ways, I founded World Labs at the beginning of 2024. Our goal was to build a frontier lab focusing on some of the most important challenges in AI, which if solved, would dramatically improve AI’s ability to tackle real world problems.
## The world is not just made up of words
We built the company guided by the foundational belief that language alone isn't sufficient for model development. The universe isn’t made up of words, it’s made of real things. So many of the most important problems for AI to solve, from science to entertainment to robotics, require models to reason over the structure and behavior of the physical world. Tackling this problem domain requires a unique team with wide ranging skills including data, computer vision, large model training, systems and even computer graphics. I feel very lucky to have built a founding team of researchers and engineers that contains world experts across these areas. Together, we set out to train new classes of foundation models to tackle the hardest problems in spatial intelligence, and we’ve made significant strides toward our goals.
Since our founding in 2024, World Labs has built leading AI spatial intelligence capabilities for everything from creative work to design. We built the world leading model training team for images, video and spatial reconstruction. And, with the acquisition of SceniX, we’re building towards an industry leading capability for robotics simulation.
Recently we released Atlas, a first of its kind omni model architecture that solves a key outstanding problem in spatial intelligence: new camera view prediction. Like LLMs can predict the next token from a line of text, Atlas, trained from scratch, can predict the next view from an input of 2D images, outperforming state of the art results even by specialized models. It has essentially solved a long standing problem in computer vision called sparse reconstruction, by combining generative models with multiview geometry. This has direct and far reaching consequences: from design and engineering to science and robotics.
We’ve seen incredible interest in Atlas across many domains: RL environments for robotics; scene generation for therapy and entertainment; and real world reconstruction for real estate, design and construction, and so much more to come.
## Following our North Star to AMD
The research and technical breakthroughs we achieved at World Labs in such a short amount of time have only fueled our ambition and given us a clear vision for the potential for AI to solve spatial and physical world problems. Now that we have tangible proof of the possibilities, we want to do everything we can to accelerate the future.
To do this requires scaling our efforts, widening our reach, and getting closer to the hardware. Without having a focused hardware effort, AI is hobbled in efficiency. And scale. And for our purposes, remains trapped in the digital world.
Which brings me to AMD. We’ve partnered with AMD since our earliest days. AMD’s CEO, Dr. Lisa Su was an early investor and believer in our mission, and we shared a belief that AI could propel society toward a better future. She has also been a great friend to me as we each journey through the world of technology.
We began a deep technical partnership last year starting with model training and inference optimization on AMD GPUs. We’ve seen up close how Lisa is boldly leading AMD as a major player in the hardware ecosystem with incredible momentum. As our teams worked together, we realized what a natural fit it would be to bring together our AI ecosystem of software and hardware, foundation models and applications.
Just like I knew it was time to do a startup to jumpstart the work of creating foundation models beyond LLMs and achieve the most impact in AI, it’s again very clear that the right path for myself and World Labs is to continue our mission as a part of AMD. Together we’re committed to keep pushing the frontier of AI to solve real problems, and doing so openly with the community and the entire ecosystem. We’re unwavering in our mission, and even more excited to continue building a world leading frontier research organization that is durable for the decades ahead. And we are committed to providing the best open models and platforms for running AI end to end from hardware to software to models to the data platforms needed to fuel it all.
## Solving real problems, for human betterment
We’re extremely thrilled to be part of a shared journey towards the future we want to build together; where powerful AI platforms and systems are developed and deployed to help solve the most fundamental problems that humanity faces: from drug discovery, to unleashing human creativity; from transforming learning to unlocking the next generation of robotics.
And I can’t be more excited to join as an Executive Vice President and Chief Scientist, working directly with Lisa and her team. My career has led up to this moment - to continue growing and running a frontier research team, within a leading AI company, as a scientist and a technology leader. With this expanded platform and opportunity, I feel a deep sense of humility, gratitude and hopefulness that we will build a future we believe in, guided by the same North Star that has always inspired me to build technology in service of humanity. I am beyond excited for the future and grateful for the opportunity for World Labs and AMD to build it together.
[https://drfeifei.substack.com/worldlabs-joining-amd](https://drfeifei.substack.com/worldlabs-joining-amd)
## 相关链接
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- [@AMD](https://x.com/@AMD)
- [@theworldlabs](https://x.com/@theworldlabs)
- [https://drfeifei.substack.com/worldlabs-joining-amd](https://drfeifei.substack.com/worldlabs-joining-amd)
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- [4:07 AM · Sep 29, 2026](https://x.com/drfeifei/status/2104664403681632453)
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*导出时间: 2026/9/29 15:18:25*
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## 中文翻译
# 去寻找一个更新的世界
**作者**：李飞飞
**日期**：2026-09-28T20:07:51.000Z
**来源**：[https://x.com/drfeifei/status/2104664403681632453](https://x.com/drfeifei/status/2104664403681632453)
---
World Labs 正在加入 [@AMD](https://x.com/@AMD)。这对 [@theworldlabs](https://x.com/@theworldlabs)、我们的团队以及我个人来说都是一个重大时刻，我想借此机会分享这意味着什么，以及为什么我对这下一个篇章如此兴奋。
> “来吧，朋友们，去寻找一个更新的世界为时未晚。”——丁尼生勋爵《尤利西斯》
## 一个成长成熟的故事
对我来说，AI 既是个人情怀，也是关乎文明的命题。
2000 年，我作为一名刚入学的研究生进入这个领域，追随自己对解决机器与大脑视觉智能问题的好奇心。当时我并不知道，这些正是我职业生涯的第一步，而这职业生涯（令我惊叹的是）恰好处在 AI 成长成熟历程的中心。我的实验室早期的 ImageNet 工作，连同神经网络算法及其在 GPU 上的实现，共同 usher 了现代 AI 时代的到来。从那时起，我倾注整个职业生涯，推动 AI 从很大程度上只是学术界的好奇心，转变为这个时代最具创新性和变革性的技术。
在这段时间里，从我在计算机视觉、深度学习、机器人和医疗保健方面的研究，到作为首席科学家创立 Google Cloud 的 AI 部门，再到成为斯坦福大学以人为本 AI 研究院的创始院长，我的工作始终以解决现实世界问题的愿望为指引，与人类携手共创社会的美好。当生成式 AI 开始其变革，前沿 AI 大规模研究从学术界转向产业界时，我知道，具有最深最广正面影响潜力的道路，就是创办一家初创公司，去攻克最大胆的技术难题。
2024 年初，我与两位杰出的联合创始人 Ben Mildenhall 和 Justin Johnson 共同创立了 World Labs，他们都是曾以重要方式推动这个领域前进的世界级 AI 研究者。我们的目标是建立一个专注于 AI 中一些最重要挑战的前沿实验室，这些挑战一旦解决，将极大提升 AI 解决现实世界问题的能力。
## 世界不仅仅由文字构成
我们建立这家公司的根本信念是：仅靠语言不足以进行模型开发。宇宙不是由文字构成的，它由真实的事物构成。AI 要解决的许多最重要的问题，从科学到娱乐再到机器人，都需要模型对物理世界的结构和行为进行推理。攻克这一问题领域需要一支拥有广泛技能的独特团队，包括数据、计算机视觉、大模型训练、系统乃至计算机图形学。我感到非常幸运，我们组建的创始团队汇聚了这些领域的研究者和工程师中的世界级专家。我们共同着手训练新型基础模型，以攻克空间智能中最难的问题，并且已经朝着目标取得了重大进展。
自 2024 年创立以来，World Labs 已为从创意工作到设计等各个领域构建了领先的 AI 空间智能能力。我们打造了全球领先的图像、视频和空间重建模型训练团队。而且，随着对 SceniX 的收购，我们正在构建行业领先的机器人仿真能力。
最近我们发布了 Atlas，这是首个同类全域模型架构，解决了空间智能中一个关键的未解难题：新相机视角预测。正如 LLM 可以从一行文本预测下一个 token，Atlas 从零开始训练，可以从 2D 图像输入预测下一个视角，其表现甚至超越了专门的模型所达到的最先进结果。它通过将生成模型与多视角几何相结合，从根本上解决了计算机视觉中一个长期存在的问题——稀疏重建。这带来了直接而深远的影响：从设计与工程到科学与机器人。
我们看到各个领域对 Atlas 表现出了难以置信的兴趣：机器人学的强化学习环境；治疗和娱乐的场景生成；房地产、设计和建筑的现实世界重建，以及未来更多的应用。
## 追随我们的北极星加入 AMD
我们在短短时间内于 World Labs 取得的研究和技术突破，只会进一步激发我们的雄心，并让我们对 AI 解决空间和物理世界问题的潜力有了清晰的愿景。既然我们已经拥有了证明这些可能性的实际成果，我们希望竭尽所能加速这个未来。
要做到这一点，需要扩大我们的努力、拓宽我们的影响力，并更贴近硬件。没有专注的硬件投入，AI 在效率上就会受制。在规模上也是。而且就我们的目标而言，它将仍被困在数字世界中。
这就引出了 AMD。我们从最早的日子起就与 AMD 合作。AMD 的 CEO 苏姿丰博士是我们的早期投资者和使命的信奉者，我们共享一个信念：AI 能够推动社会走向更美好的未来。在我们各自穿越科技世界的旅程中，她也一直是我的挚友。
我们从去年开始建立深度的技术合作，首先是在 AMD GPU 上进行模型训练和推理优化。我们近距离见证了 Lisa 如何以惊人的势头大胆引领 AMD 成为硬件生态系统中的重要玩家。当我们的团队一起工作时，我们意识到，将我们 AI 生态系统的软件与硬件、基础模型与应用结合在一起，是多么自然的契合。
正如我当初知道是时候创办一家初创公司来启动超越 LLM 的基础模型创建工作、在 AI 领域实现最大影响一样，现在也非常清楚，对于我和 World Labs 而言，正确的道路就是作为 AMD 的一部分继续我们的使命。我们将共同致力于继续推动 AI 的前沿以解决真实问题，并以开放的方式与社区和整个生态系统一起行动。我们对使命坚定不移，更加兴奋的是要继续打造一个世界领先、能够长存数十年的前沿研究组织。我们致力于提供最好的开放模型和平台，实现从硬件到软件、从模型到驱动这一切所需的数据平台的端到端 AI。
## 解决真实问题，促进人类福祉
我们极其兴奋能够参与这段共同旅程，迈向我们想要共同构建的未来；在那里，强大的 AI 平台和系统被开发并部署，用以帮助解决人类面临的最根本的问题：从药物发现，到释放人类创造力；从变革学习方式，到开启下一代机器人技术。
而能够以执行副总裁兼首席科学家的身份加入，与 Lisa 和她的团队直接共事，我感到无比兴奋。我的职业生涯一直为这一刻铺路——作为科学家和技术领袖，在一家领先的 AI 公司内继续成长并领导一个前沿研究团队。拥有这个更广阔的平台和机遇，我深深感到谦卑、感激与希望，我们将秉承一直激励我以技术服务人类的同一颗北极星，构建一个我们所信仰的未来。我对未来感到无比兴奋，并对 World Labs 和 AMD 携手共建未来的机遇心怀感激。
[https://drfeifei.substack.com/worldlabs-joining-amd](https://drfeifei.substack.com/worldlabs-joining-amd)
## 相关链接
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*导出时间： 2026/9/29 15:18:25* 
