clu_cheng's profile picture. Research @Meta MSL TBD Lab. Previously pretraining & multimodal @OpenAI. PhD @Tsinghua_Uni. Interested in scalable machine learning.

Cheng Lu

@clu_cheng

Research @Meta MSL TBD Lab. Previously pretraining & multimodal @OpenAI. PhD @Tsinghua_Uni. Interested in scalable machine learning.

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Excited to share our latest research progress (joint work with @DrYangSong ): Consistency models can now scale stably to ImageNet 512x512 with up to 1.5B parameters using a simplified algorithm, and our 2-step samples closely approach the quality of diffusion models. See more…

Introducing sCMs: our latest consistency models with a simplified formulation, improved training stability, and scalability. sCMs generate samples comparable to leading diffusion models but require only two sampling steps. openai.com/index/simplify…



This is a very solid and promising research that scales consistency models to 10B+ video diffusion models. The combination of sCM and Variational Score Distillation is a very promising direction for few-step generation!

🚀Try out rCM—the most advanced diffusion distillation! ✅First to scale up sCM/MeanFlow to 10B+ video models ✅Open-sourced FlashAttention-2 JVP kernel & FSDP/CP support ✅High quality & diversity videos in 2~4 steps Paper: arxiv.org/abs/2510.08431 Code: github.com/NVlabs/rcm

zkwthu's tweet image. 🚀Try out rCM—the most advanced diffusion distillation!
✅First to scale up sCM/MeanFlow to 10B+ video models
✅Open-sourced FlashAttention-2 JVP kernel & FSDP/CP support
✅High quality & diversity videos in 2~4 steps
Paper: arxiv.org/abs/2510.08431
Code: github.com/NVlabs/rcm


Cheng Lu 已轉發

.@model_mechanic is the GOAT. from DALL-E 1 to Sora 2, he's responsible for a borderline-incomprehensible number of research breakthroughs in visual generation. legend.


🐐🐐🐐Few people know Harold’s name, but he made lots of major breakthroughs of this new technology. Sora2 would be impossible without Harold!

Extremely honored to be part of this incredible team ❤️! Here is one of my favorite samples ; )



Cheng Lu 已轉發

so excited to bring Sora 2 to the world! the journey to this model is one of the most fulfilling experiences I’ve ever had, working with the best team in the world, with joy and sweat. hope you will enjoy it!

Sound on.



Cheng Lu 已轉發

So excited to share Sora to the world, so blessed to be part of this amazing team! It's the first time I've seen an AI video stir up real human emotion. Did not expect myself to cry a bit at the end. ENTIRE video w/sound was generated in Sora as-is. I just concatenated clips

Sound on.



Creativity is boundless. I really love the creativity that sora2 could bring to all of the world

Our model reflects our team's rigor and creative ambition. Excited to bring Sora 2 to the world!



🐐🐐🐐Bill is one of the best researchers and visioners in building world simulators!

thanks bill for your leadership and vision on this project; it has been awesome to watch.



Words cannot describe how happy I am to see sora2 finally releases!!! Huge congrats to all my friends in sora team, I'm super proud of all of you!!! I still remember the first time we discussed the idea about the launching live stream in a team dinner, and I'm always impressed by…

Sound on.



😭😭😭😭😭😭SO HAPPY!!!!

Sound on.



I’m so damn excited about this!!!

10am PT.



We should never forget that humanistic care is above pure intelligence.

if you value intelligence above all other human qualities, you’re gonna have a bad time



Watching @darkproger vibe training this model is one of my most favorite moments in openai. Congrats!!!

super excited to have contributed to gpt-oss. We have put a lot of love into both training the model and making the developer examples, check them out: github.com/openai/gpt-oss



Huge congratulations!!! Incredible work!

I’ve been fortunate to lead the infra and inference work that brings gpt-oss to life. A year ago, I joined OpenAI after building vLLM from scratch — It’s deeply meaningful to now be on the other side of the release, helping share models back with the open-source community.



Exact same feeling

It’s truly a privilege to be able to wake up every morning, see where the latest intelligence frontier is, and help push it a little further.



Congrats! This is an incredible milestone and I was truly shocked by it. “Thinking for hours” means 10x or even 100x of current test-time compute, and I can’t wait to see the model think for days, months, years, centuries to solve the science challenges!

1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).

alexwei_'s tweet image. 1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).


Cheng Lu 已轉發

I didn't want to post on Grok safety since I work at a competitor, but it's not about competition. I appreciate the scientists and engineers at @xai but the way safety was handled is completely irresponsible. Thread below.


So true

Why you should stop working on RL research and instead work on product // The technology that unlocked the big scaling shift in AI is the internet, not transformers I think it's well known that data is the most important thing in AI, and also that researchers choose not to work…

_kevinlu's tweet image. Why you should stop working on RL research and instead work on product //
The technology that unlocked the big scaling shift in AI is the internet, not transformers

I think it's well known that data is the most important thing in AI, and also that researchers choose not to work…


A very promising direction for real-time video generation! arxiv.org/abs/2506.01380 nextframed.github.io 1. You can always use DPM-Solver++ to accelerate your flow matching model. 2. sCM can even scale to video diffusion model and boost the sample quality a lot!


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