Kris Wu

PhD Candidate @CASIA, Robotics.

[Kris Wu @Xiangnan_cs]

@Selen7005717917 Let's go!

[Kris Wu @Xiangnan_cs]

@thsottiaux When will Pro20x subscriptions be available again?

[Yanjie Ze @ZeYanjie]

GPT6 Astra solved Rubik’s Cube with robot hands

https://t.co/Hkh1hi1VRz

[Kris Wu @Xiangnan_cs]

What human can do next？

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[crisiumnih @PrajwalAvhad8]

great things happening in robotics sphere

[Kris Wu @Xiangnan_cs]

@Selen7005717917 友谊天长地久

[Kris Wu @Xiangnan_cs]

@HaoyiZhu 已严肃学习

[Kris Wu @Xiangnan_cs]

@Selen7005717917 带文学家

[Kris Wu @Xiangnan_cs]

@Selen7005717917 @weiyux2021 me too

[Kris Wu @Xiangnan_cs]

@JinWeiyang18434 crazy！

[Michael Guo @Michaelzsguo]

当 AI 和世界还没有今天这么喧闹的时候，一个名叫 Andrej Karpathy 的年轻人，戴着那时还很时髦的 Google Glass，骑着自行车，从他上学的斯坦福，去他实习的 Google，一边骑，一边录了一段 vlog。

视频拍于 2013 年。那时他还是斯坦福博士生，在 Google 实习，做的项目是 deep learning：搭神经网络，让它理解图片和视频。拍摄工具是 Google Glass。他还自己给它写了应用，出门就戴着。他最喜欢的游戏是玩魔方，其实是他休息的方式。

斯坦福 计算机系的走廊，是 Larry Page 和 Sergey Brin 当年读博时走过的同一条。第一台 Google 服务器，也曾在这栋楼的地下室运行过。

Palo Alto 的路，到今天还是他当年记录的那个样子，破得很稳定。加州人有钱，但就是不用来修路。该咋地咋地。

到了 Google，园区还是那种这家公司刚刚长出来的感觉：餐厅、共享自行车、来参观的游客，还有一头恐龙雕塑。那时的 Google 还在三驾马车（Eric Schmidt带着两个founder）年代，除了 Google Glass，还在做 Google 气球和自动驾驶。

那个年代好像已经很远了。

当年连 Andrej 都要辛苦搭起来的神经网络，现在应该已经很容易了吧。

如果你对那个年代的斯坦福、Google 和 Palo Alto 好奇，这条视频是一个稀有的窗口。

[AI Will @FinanceYF5]

OpenAI 这个名字的由来

2015 年 11 月 23 日

[Anirudha Majumdar @Majumdar_Ani]

https://t.co/HBRXJTvDfz

[Alexander Goslin @xandurglar]

Introducing InfiniteDiffusion, my independent paper accepted to #SIGGRAPH2026!

I have one RTX 3090 Ti. No funding, advisors, or team. By day I'm a new grad SWE at Walmart.

The paper has two main contributions:
- InfiniteDiffusion: a new approach to infinite generation with diffusion models.
- Terrain Diffusion: the world’s first learned procedural terrain generator.

Here’s why this matters, and how they are connected. 🧵

[Kris Wu @Xiangnan_cs]

正是修行时

[Kris Wu @Xiangnan_cs]

忍耐

[Kris Wu @Xiangnan_cs]

@vclee8 awesome

[Kris Wu @Xiangnan_cs]

@KnightNemo_ awesome

[Kris Wu @Xiangnan_cs]

@wjwang2003 awesome

[Peiyan Li @PYL78055244]

💥 Can we combine 2D VLA generalization with 3D policy efficiency?

Introducing BridgeVLA – a 3D Visual Language Action model bridging pretrained VLM backbones and 3D VLAs. Reusing VLM weights isn’t enough – it needs smarter design.

🚀 Results:
· 1st on RLBench, COLOSSEUM, GemBench 🏆
· +32% real-world performance over baselines 🔧
· 96.8% success with 3 demo trajectories 😱

📦 Code, data, models open-source.

👉 https://t.co/QiT7LDn4Am

#CVPR2025 #COLOSSEUM #RLBench #GemBench #3DManipulation #3DVLA