InclusionAI

⚡️New on ZenMux: LLaDA2.1-flash 100B diffusion LLM from @TheInclusionAI . → Error-correcting editable generation → Speed Mode: ultra-fast inference → Quality Mode: competitive performance → RL tailored for 100B-scale dLLM 🔗 zenmux.ai/inclusionai/ll… 🔗 huggingface.co/inclusionAI/LL…

🚀 AReaL v1.0 is here! Evolve your 🦞#OpenClaw agents (or any agent) with RL—zero changes to agent required. We add a transparent proxy that shadows your agent's base_url, capturing all agent–LLM interactions for RL training. Just swap the URL and go. ✅ One-click agentic RL for any existing agent—no modifications needed ✅ Full #opencode recipe: training code, data, infra, and models all open ✅ Archon Engine: PyTorch-native 5D parallelism via pure PyTorch; uv sync and go (zero manual compilation) ✅ torch.compile by default: instant 10% performance boost out of the box 📊 SOTA on tau2Bench: 73.0% pass@1 (Airline) / 98.3% (Telecom) #opensource #inclusionAI #RL 📄 Paper: arxiv.org/abs/2601.22607 🐙 GitHub: github.com/inclusionAI/AR… Train your OpenClaw agent: github.com/inclusionAI/AR…

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

🦾 From seeing to doing. We're closing the loop between video prediction and real-world action. On the final day of Robbyant Open Source Week, we bring you LingBot-VA—the world's first causal video-action world model for generalist robot control. 🔥 Key Highlights: 🤖 Predicts & Acts: A single model generates both future video and the actions to make it real. 🧠 Remembers the Past: True long-term memory for complex, sequential tasks. ⚡ Learns in a Snap: Masters new skills with just 30-50 real-world demos. The result? 📈 SOTA on RoboTwin (92.9%) and LIBERO (98.5%), +20% over π0.5 on challenging real-world long-horizon & high-precision tasks. More below 👇 #AI #Robotics #EmbodiedAI #WorldModel #OpenSource

🌍 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

🧠 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

🤖 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

Ant AQ-Team @AQ_MedAI @TheInclusionAI and SGLang RL Team @sgl_project just helped land Kimi-K2-Instruct RL on slime — fully wired up and running on 256× H20 141GB 🚀 Huge shout-out to @yngao016, @menlzy, @Yonah_x from AQ Team and @Ji_Li_233, @Yefei_RL from the SGLang RL Team for making this happen ❤️ Kimi-K2-Instruct RL is live on slime. Kimi-K2-Thinking next? 👀 Details & configs in PR: github.com/THUDM/slime/pu…