Zeyu Feng(Ted)

🌀 Introducing 𝐄𝐪𝐮𝐢𝐥𝐢𝐛𝐫𝐢𝐮𝐦 𝐑𝐞𝐚𝐬𝐨𝐧𝐞𝐫𝐬 (𝐄𝐪𝐑) ! Feedforward models and weight-tied models behave very differently on hard reasoning generalization. EqR pushes this difference to the extreme by learning 𝐭𝐚𝐬𝐤-𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐞𝐝 𝐧𝐞𝐮𝐫𝐚𝐥 𝐚𝐭𝐭𝐫𝐚𝐜𝐭𝐨𝐫𝐬 . • Sudoku-Extreme: 99.8% • Maze: 93% #ICML2026

Agents can now live like humans in a virtual city built with Unreal Engine: exercising outdoors, strolling through parks, or even playing chess with friends! 🌍 Check out SimWorld: an open-ended simulator for LLM agents to act, perceive, and plan in richly embodied, endlessly diverse virtual worlds. SimWorld now supports plug-and-play integration with arbitrary UE environments. Deploy agents in your own scenes and build fully customizable simulations for autonomous driving, collaborative games, or social experiments! SimWorld is a strong testbed for evaluating embodied agents, as it provides: - ⚙️Physical + social simulation: realistic physics (collision/friction/inertia) and social dynamics like traffic rules/flows. - 🤖 LLM/VLM-friendly interfaces: a Gym-style API with multimodal observations and grounded language actions. - 🤔 Long-horizon tasks + reasoning: diverse physical/social tasks for systematic training and evaluation. 1/ #LLM #Agent #UnrealEngine #simulation

Pretraining has scaling laws to guide compute allocation. But for RL on LLMs, we lack a practical guide on how to spend compute wisely. We show the optimal compute allocation in LLM RL scales predictably. ↓ Key takeaways below

🚀 Excited to announce the release of PAN, a general world model I’ve been working on for years. PAN can simulate physical, agentic, and nested worlds — generating infinite interactive experiences to train and evaluate AI agents. Check out demo: ifm.mbzuai.ac.ae/pan/ 👇

Check out our website & paper 👇 Website: ifm.mbzuai.ac.ae/pan/ Paper: arxiv.org/abs/2511.09057

🌍 Introducing long-horizon, interactable PAN World Model that lets you step into coherent worlds and evolve them through language-guided actions. A world model is far more than visuals — it understands world dynamics, enabling an agent to imagine scenarios, anticipate outcomes, and act with strategy.

🔥Really excited to see the release of PAN world model, a project I had been working over the past years. PAN is a general world model capable of simulating physical, agentic, and nested worlds, synthesizing infinite interactive experiences for training AI agents. Building on top of pretrained LLMs and video diffusion models, PAN connects language, perception, action, and latent thoughts, for long-horizon simulation and reasoning. PAN shows overwhelming performance gains over JEPA-2, Cosmos-2, and other prior models. More in the thread👇 ... 1/

🚀 Introducing PAN, our latest general world model. 💡 Compared to traditional video generation models like Sora 2, PAN simulates worlds you can interact with, over long horizons, with natural-language actions.

Super excited to introduce Pandora, a generative video World Model interactively controllable by language. #Sora and #GPT4 are both powerful. How about fusing them in a single model? 💥 Pandora gives a preview:🔭 > Build a General World Model (GWM) super efficiently by integrating pretrained autoregressive LLM and diffusion Video Model, aligning them in the representation space. > Let the LLM control the VM on-the-fly. Instruction tuning maximizes the controllability. > Autoregressive LLM empowers VM to generate indefinitely long videos: Starting with a VM for 2-second videos, Pandora extends it for 8-second videos. Would #Sora+#GPT4 under Pandora produce hours-long videos? 📽️ > World Model is beyond just video generation. It’s sensory-level information processing + concept-level reasoning and reflection. Pandora bridges both, with the concept- / language-level backbone (LLM) managing & steering the sensory-level VM functionalities. 👁️🧠 Check out for a bunch of interesting results: world-model.ai

I am excited to share the latest work from our group: 𝗣𝗮𝗻𝗱𝗼𝗿𝗮🌏. It is a world model that predicts future states with real-time steerable control using natural language. It is a step towards General World Model.

🚀🚀🚀Today, we're thrilled to introduce 𝐏𝐚𝐧𝐝𝐨𝐫𝐚: a 𝙬𝙤𝙧𝙡𝙙 𝙢𝙤𝙙𝙚𝙡🌏 that generates videos🎥 with 𝙧𝙚𝙖𝙡-𝙩𝙞𝙢𝙚 control with 𝙛𝙧𝙚𝙚-𝙩𝙚𝙭𝙩 actions🎬!!! Check it out more world-model.ai ! @MaitrixOrg

🔥 We are excited to announce 𝗣𝗮𝗻𝗱𝗼𝗿𝗮, a world model with natural language actions and video states. 🌏 It is a step towards a General World Model that: 1. Simulates world states by generating videos across any domains 2. Allows any-time control with free-text actions

🔥Introducing Pandora 🌏 🪐 a World Model that generates videos of world states with real-time language control 🎥🕹️ Simulate the world across domains in an _interactive_ way! check out more world-model.ai