Xiaolong Wang

1.5K posts

Xiaolong Wang

Xiaolong Wang

@xiaolonw

Research Director, @Meta Superintelligence Labs Co-founder of ARI Associate Professor @UCSDJacobs Postdoc @berkeley_ai PhD @CMU_Robotics

San Diego, CA Katılım Mart 2016
1.4K Takip Edilen21.6K Takipçiler
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Xiaolong Wang
Xiaolong Wang@xiaolonw·
Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence! When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent. We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world. We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission. This is just the beginning.
Bloomberg@business

Meta Platforms Inc. has acquired Assured Robot Intelligence, a startup developing artificial intelligence models for robots, as part of a major initiative to build humanoid technology. bloomberg.com/news/articles/…

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Yuandong Tian
Yuandong Tian@tydsh·
Today we launch Recursive. We are building AI that discovers knowledge automatically and improves itself recursively, an open-ended process that will fundamentally change how science and technology advance. Our 25 top researchers and engineers in San Francisco and London bring diverse expertise spanning agentic AI scientists, architecture and algorithm design, world models, optimization, and interpretability, united by a shared conviction that this is the most important problem we could be working on today. If you are interested in joining, please send your resume to talent@recursive.com. Follow us at @Recursive_SI!
Recursive@Recursive_SI

x.com/i/article/2054…

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Xiaolong Wang
Xiaolong Wang@xiaolonw·
Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence! When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent. We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world. We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission. This is just the beginning.
Bloomberg@business

Meta Platforms Inc. has acquired Assured Robot Intelligence, a startup developing artificial intelligence models for robots, as part of a major initiative to build humanoid technology. bloomberg.com/news/articles/…

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Marc Whitten
Marc Whitten@notwen·
So excited to have @xiaolonw @LerrelPinto and the team here with us!
Xiaolong Wang@xiaolonw

Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence! When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent. We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world. We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission. This is just the beginning.

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Fei Xia
Fei Xia@xf1280·
Exciting times ahead!
Xiaolong Wang@xiaolonw

Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence! When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent. We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world. We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission. This is just the beginning.

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Xuxin Cheng
Xuxin Cheng@xuxin_cheng·
Excited to share that ARI (Assured Robot Intelligence) is joining @Meta! When we co-founded ARI a year ago, the mission was clear: build humanoid intelligence for the real world. Joining Meta Superintelligence Labs (MSL), we'll continue advancing frontier robotics models toward physical superintelligence in the physical world. Huge thanks to my co-founders, the incredible ARI team, and our investors led by @aixventureshq for backing this from day one. This is just the beginning.
Bloomberg@business

Meta Platforms Inc. has acquired Assured Robot Intelligence, a startup developing artificial intelligence models for robots, as part of a major initiative to build humanoid technology. bloomberg.com/news/articles/…

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Alexandr Wang
Alexandr Wang@alexandr_wang·
welcome Assured Robot Intelligence (ARI) to MSL! excited to build physical with @LerrelPinto @xiaolonw and the whole team!
Xiaolong Wang@xiaolonw

Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence! When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent. We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world. We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission. This is just the beginning.

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Lerrel Pinto
Lerrel Pinto@LerrelPinto·
ARI is joining @Meta! Over the past year, we have been building ARI (Assured Robot Intelligence) with the mission to build industry-grade physical AI for humanoids. The ARI stack is built on human experience, condensed into actionable tokens that can be rapidly adapted to real-world hardware. But the most rewarding part of ARI has been the people. I feel truly blessed to have worked alongside some of the world's best roboticists, a top-notch investor pool led by @aixventureshq, and the many supporters pushing for us behind the scenes. Starting next week, ARI will join the Meta Superintelligence Labs (MSL) to continue advancing frontier robotics models that advance personal superintelligence in the physical world. We have the potential to transform AI that can think and talk to AI that can do, assisting humans safely and reliably in the physical world. To the many people behind the scenes who supported us: Thank you! This is just the beginning. More in the Bloomberg article:
Bloomberg@business

Meta Platforms Inc. has acquired Assured Robot Intelligence, a startup developing artificial intelligence models for robots, as part of a major initiative to build humanoid technology. bloomberg.com/news/articles/…

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Jianglong Ye
Jianglong Ye@jianglong_ye·
Excited to share that I've been selected as a 2026 Apple Scholar in AIML🎉 Huge thanks to my advisor @xiaolonw , and to all my mentors and collaborators for their support. Grateful to @Apple for recognizing and supporting my research🍎 machinelearning.apple.com/updates/apple-…
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Yutao Xie
Yutao Xie@YutaoXie12174·
🧐 We introduce TIPS: turn-level information reward shaping for tool-using LLMs. RL for agentic tasks suffers from high-variance credit assignment, especially in long-horizon tool-use settings. 👉TIPS assigns turn-level rewards based on how much each turn increases the likelihood of the correct answer — with no reward model, no human process labels, and policy-invariant shaping via PBRS. Across 8 QA benchmarks, TIPS outperforms PPO and other reward-shaping baselines, with strong gains on multi-hop and out-of-domain QA. More details in our ICLR 2026 paper: Arxiv: arxiv.org/abs/2603.22293
Yutao Xie tweet media
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Xueyan Zou
Xueyan Zou@xyz2maureen·
Our Latent Encoder-Decoder code base is fully open sourced, you can train and visualize the latent space: Code⚙️: github.com/EmptyBlueBox/D… ArXiv 📚: arxiv.org/abs/2603.10158 #CVPR2026
Guangqi Jiang@LuccaChiang

Ever want to have a single policy to control diverse robots as well as different dexterous hands, or to observe the emergent behavior under cross embodiment training? Introducing our #CVPR2026 paper XL-VLA, Cross-Hand Latent Representation for Vision-Language-Action Models.

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Keşfet

@tydsh @Recursive_SI @endernewton @Meta @aixventureshq @notwen @LerrelPinto @xf1280