Physis-Lang
Physis-Lang is Paper and project. It is ranked #3709 on the AI Radar, in AI video, first seen 37 days ago and shared in 1 post (29.7k views).
Visit physis-intelligence.github.io
What Physis-Lang says about itself
Physis-Lang makes physical language a shared, self-evolving representation for data curation, model training, and video generation. Research from NVIDIA.
Physis-Lang | Self-Evolving Language for Video World Models Skip to content Physis-Lang Read the paper ↗ Physis-Lang Self-Evolving Language as a Physical Representation for Video World Model Liming Lu †2 , Xianzheng Ma †3 , Wenkun He †2 , Guanqi Zhan †*1 , Yilin Zhao 1 , Junyu Chen 1 , Mengyao Xu 1 , Jiaojiao Fan 1 , Wenhang Ge 1 , Yuchao Gu 1 , Yunze Liu 1 , Boyi Li 1 , Zhen Dong 1 , Victor Prisacariu 3 , Ming-Yu Liu 1 , Song Han 1 , Han Cai *1 1 NVIDIA 2 MIT 3 University of Oxford † Equal contribution * Corresponding authors ↗ Paper ▷ Watch the overview Explore videos ↓ Language can do more than describe a scene. It can represent how the…
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Physis-Lang in numbers
- Rank on the AI Radar: #3709 of 10410
- Shared in 1 post by 1 account: @NVIDIAAI
- 29.7k views on those posts
- First seen 37 days ago, last shared 37 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI video
FAQ
What is Physis-Lang?
Paper and project It was first shared on X 37 days ago and is ranked #3709 on the AI Radar.
Is Physis-Lang free?
Pricing is not stated on the page we read.
Who shared Physis-Lang?
1 account on X, including @NVIDIAAI, in 1 post totalling 29.7k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:05 UTC. Full method.