NadiaJiang

🌟 GitHub Star｜Head of Growth & Ecosystem @Robbyant_brain @Ant_OSS | Board Chair @KAIYUANSHE | Builder @ZenMuxAI @AnswerDev | Global Tech Speaker

[NadiaJiang @jiangbonadia]

So excited to be featured as a GitHub Star! 🌟 A huge thank you to the community for recognizing my non-code contributions—means the world! 👩‍💻

Can’t wait to keep spreading the open-source love with @github and build something amazing together with more folks.💚 https://t.co/xQM1cB3Dh3

[Robbyant @robbyant_brain]

We’re open-sourcing LingBot-Map — our autoregressive model for streaming 3D reconstruction from a single RGB camera. Real-time camera pose estimation. Real-time 3D scene reconstruction. No specialized hardware required.🚀
#EmbodiedAI #Robotics #3DReconstruction #ComputerVision

[Robbyant @robbyant_brain]

🚀 Exciting news for the spatial perception community!
📷 For too long, the lack of large-scale, real-world depth datasets has been a major bottleneck. Today, we are open-sourcing the RGB-D dataset built for training our spatial perception model LingBot-Depth — and it's massive. 👇

[Ant Open Source @ant_oss]

⚡️ 892 tokens/s — our 100B diffusion LLM, LLaDA2.1-flash, is now live on @ZenMuxAI!
With Token Editing, LLaDA 2.1 goes from research breakthrough to production-ready speed. Diffusion models just got real.
Try it via API or Chat 👇 https://t.co/8ObarWTPio #LLaDA #ZenMux #AI #dLLM

[NadiaJiang @jiangbonadia]

The Call for Proposals (CFP) is now open! Don’t miss out on the chance to share your insights. @ApacheCon @TheASF 👇 https://t.co/YFHCajeWSz

[NadiaJiang @jiangbonadia]

Happy Year of the Horse! 🐎 Here’s to galloping into good luck, joy, and all the good stuff. Cheers! 🧧

[NadiaJiang @jiangbonadia]

@AdinaYakup Happy New Year 🎇 Adina 新年快乐🎉

[NadiaJiang @jiangbonadia]

Happy Chinese New Year 🎇

[Robbyant @robbyant_brain]

Riding through a bustling Chinese New Year celebration — lion dances, dragon parades, fireworks lighting up the sky — this entire world is generated by @robbyant_brain's LingBot-World! 🐴🧨

Navigate freely with WASD in an AI-generated interactive world. This is the power of world models.

Happy Year of the Horse to everyone! 🎆
#LingBotWorld #WorldModel #LunarNewYear #AI

[Robbyant @robbyant_brain]

Riding through a bustling Chinese New Year celebration — lion dances, dragon parades, fireworks lighting up the sky — this entire world is generated by @robbyant_brain's LingBot-World! 🐴🧨

Navigate freely with WASD in an AI-generated interactive world. This is the power of world models.

Happy Year of the Horse to everyone! 🎆
#LingBotWorld #WorldModel #LunarNewYear #AI

[Adina Yakup @AdinaYakup]

LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by @AntGroup

https://t.co/fOShAx8m6r
https://t.co/C0I6bDrBkC

✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference

[Ant Open Source @ant_oss]

What if an LLM could EDIT its own tokens in real-time, not just generate them? 🤯
Introducing LLaDA2.1 — a diffusion model that breaks from autoregressive dominance. It drafts fast, then fixes its own mistakes on the fly with Token-to-Token editing.
The result? 892 tokens/sec on a 100B model. 🔥
⚡ 892 TPS on HumanEval+ (coding)
⚡ 801 TPS on BigCodeBench
🧠 Real-time self-correction via T2T editing
✅ @lmsysorg SGLang Day 0 support — production-ready now
A "non-consensus" architecture now challenging the mainstream. Open-sourced TODAY. 👇
#LLaDA #TokenEditing #OpenSource #LLM #dLLM

[NadiaJiang @jiangbonadia]

I still remember being amazed when Genie 3 first came out. Never imagined that one day I'd be releasing a world model alongside my teammates that stands shoulder to shoulder with it—and is fully open-source. A milestone moment for us.🔥

[Robbyant @robbyant_brain]

🌍 Reality is expensive. Simulation is the shortcut. But what if the simulation could think, respond, and remember? Today, we open-source LingBot-World, an interactive world model built on @Alibaba_Wan Wan2.2! 🔥

We’re pushing the limits of:
🔷 High-Fidelity Simulation & Precise Control
🔷 Long-Horizon Consistency & Memory
🔷 Modeling Physical & Game Worlds

It that can generate nearly 10 minutes of controllable, physics-grounded simulation in real-time. A digital training ground for embodied AI. 👇

#WorldModel #EmbodiedAI #OpenSource #Simulation #Robotics

[NadiaJiang @jiangbonadia]

We're aiming for truly usable open-source! It's not just about releasing models and code, but also helping y'all actually put them to use. That's why we've put so much thought into making post-training more efficient. This is our gift to the community. Enjoy! 🎁

[Robbyant @robbyant_brain]

🧠 What if one AI brain powers all robots? Retraining for every new embodiment is the biggest scaling pain in embodied AI—we’re fixing it.
Today, we open-source LingBot-VLA: a Vision-Language-Action model built on @Alibaba_Qwen Qwen-2.5-VL and pre-trained on 20,000 hours of real-world data across 9 distinct robot embodiments. New SOTA for cross-embodiment generalization unlocked.
#EmbodiedAI #Robotics #VLA #OpenSource

[Robbyant @robbyant_brain]

🤖 Ever seen a robot get confused by a glass door? That era is ending.
Today, we're open-sourcing LingBot-Depth, a new spatial perception model that lets robots truly *see* the physical world, including transparent & reflective objects.
It even surpasses top-tier industrial depth cameras in core metrics. A new sense of sight for embodied AI.
#EmbodiedAI #Robotics #ComputerVision #OpenSource #DepthCamera

[NadiaJiang @jiangbonadia]

A thrilling milestone moment!

[Ant Open Source @ant_oss]

🧬 Introducing LLaDA2.0, for the first time scaled to 100B, as a Discrete Diffusion LLMs (dLLM)!
Featuring 16B (mini) and 100B (flash) MoE versions.
With 2.1x faster inference than AR models and superior performance in Code, Math, and Agentic tasks, we prove that at scale, Diffusion is not just feasible—it's stronger and faster. 🌊
#AI #LLaDA #Diffusion #OpenSource #dllm

[LMSYS Org @lmsysorg]

🚀 Introducing SGLang Diffusion — bringing SGLang’s high-performance serving to diffusion models.

⚡️ Up to 5.9× faster inference
🧩 Supports major open-source models: Wan, Hunyuan, Qwen-Image, Qwen-Image-Edit, Flux
🧰 Easy to use via OpenAI-compatible API, CLI & Python API

Built with FastVideo to power the full diffusion ecosystem, and special thanks to @NVIDIAAIDev and @VoltagePark for their compute support!

⬇️Read more in the thread:

[NadiaJiang @jiangbonadia]

Just got back from @github Universe 2025! Both the Community Track on Day0 and the main Universe event were super impressive 🤩. After several years of helping organize the Universe Local Watch Party, this is my first time attending Universe in person, and it feels so different. 💚 Besides all the inspiring talks that can be watched online, this is more like a carnival for community and developers. There were so many interactions, so many hands-on workshops, and so many booths. Thanks to GitHub @abbycabs @howardatwork for the invitation. It was all amazing! #GitHubUniverse2025 #GitHub

[NadiaJiang @jiangbonadia]

@yetone Congrats 👏👏👏

[NadiaJiang @jiangbonadia]

@corvuschen1211 @passluo 🙇‍♀️🙇‍♀️🙇‍♀️

[ZenMux @ZenMuxAI]

🚨 Introducing Model Insurance — now live on ZenMux.

@ZenMuxAI is the world’s first platform offering AI model insurance, providing a safety net for model output quality.

✅ Covers API call failures:
• Response timed out
• The content does not meet the requirements

Each insured failure becomes a data signal — powering a self-improving feedback loop for your AI applications.

Build safer, smarter AI.
Try it now → https://t.co/NuUXqxdb3Z（1/5）

[ZenMux @ZenMuxAI]

🚀 Ring-1T, the open-source trillion-parameter thinking model built on the Ling 2.0 architecture, is now live on ZenMux, ready to amaze! 🎊 @AntLingAGI

🌟 Silver-level IMO reasoning via natural language
💪 1T/50B params, 128K context. Reinforced by Icepop RL + ASystem (Trillion-Scale RL Engine)
🏆 Open-Source SOTA in natural language reasoning — AIME 25/HMMT 25/ARC-AGI-1/CodeForce

Deep thinking, open weights, FP8 version available.

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