Arif Ahmad @arif_ahmad_py
We are in the world model era now. Prev. @GoogleDeepMind and @Nvidia Joined January 2021-
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#K2Think (🏔️💭) is now live. We're proud of this model that punches well above its weights, developed primarily for mathematical reasoning but has shown itself to be quite versatile. As a fully deployed reasoning system at k2think.ai you can test it for yourself!
#K2Think (🏔️💭) is now live. We're proud of this model that punches well above its weights, developed primarily for mathematical reasoning but has shown itself to be quite versatile. As a fully deployed reasoning system at k2think.ai you can test it for yourself!
📢Excited to share that I’ve joined @mbzuai as an Assistant Professor of Computer Vision this fall! If you’re interested in CV4Science: building the next generation of foundation models & discovery tools for science, consider applying to MBZUAI. I’ll be recruiting PhD students!
ChatGPT for helping the Swedish Prime Minister:
🚀 Excited to share that I’ve joined the amazing team at @SkildAI! I’m already blown away by the energy, the quality of work, and the level of ambition here. The mission, vision, and results speak for themselves. This is just the beginning. More to come soon! 👇
🚀 Excited to share that I’ve joined the amazing team at @SkildAI! I’m already blown away by the energy, the quality of work, and the level of ambition here. The mission, vision, and results speak for themselves. This is just the beginning. More to come soon! 👇
I have been long arguing that a world model is NOT about generating videos, but IS about simulating all possibilities of the world to serve as a sandbox for general-purpose reasoning via thought-experiments. This paper proposes an architecture toward that arxiv.org/abs/2507.05169
Some critical reviews and clarifications on different perspectives of world models. 🔥🌶️ Stay tuned for more on PAN — its position on the roadmap towards next-level intelligence, strong results, and open-sources❗️🧠
Some critical reviews and clarifications on different perspectives of world models. 🔥🌶️ Stay tuned for more on PAN — its position on the roadmap towards next-level intelligence, strong results, and open-sources❗️🧠
Classic Unity/Unreal = hand-built assets + rigid solvers; neural game engines like Mirage can run interactive sandboxes from a prompt. 1993 GPUs solved graphics; physics and world assets stayed on the CPU. 2025 GPUs run giant diffusion models that have learnt the geometry,…
Classic Unity/Unreal = hand-built assets + rigid solvers; neural game engines like Mirage can run interactive sandboxes from a prompt. 1993 GPUs solved graphics; physics and world assets stayed on the CPU. 2025 GPUs run giant diffusion models that have learnt the geometry,…
💥💥BANG! Experience the future of gaming with our real-time world model for video games!🕹️🕹️ Not just PLAY—but CREATE! Introducing Mirage, the world’s first AI-native UGC game engine. Now featuring real-time playable demos of two games: 🏙️ GTA-style urban chaos 🏎️ Forza…
Thanks @_akhaliq for sharing! 🙌 Also try out open-world drifting in any world you can dream up—just prompt it into existence: 🏘️ suburban streets 🏖️ sunny beaches 🏜️ rainy deserts 🌲 lush forests 👇
Thanks @_akhaliq for sharing! 🙌 Also try out open-world drifting in any world you can dream up—just prompt it into existence: 🏘️ suburban streets 🏖️ sunny beaches 🏜️ rainy deserts 🌲 lush forests 👇 https://t.co/jJUTjGYWeY
As ICML 2025 is approaching, it's time to reheat this banger
VLMs are often used for planning across different world modelling scenarios. Check out this recent work by @QiyueGao123 which helps highlight some of their limitations and strength.
VLMs are often used for planning across different world modelling scenarios. Check out this recent work by @QiyueGao123 which helps highlight some of their limitations and strength.
🤔 Have @OpenAI o3, Gemini 2.5, Claude 3.7 formed an internal world model to understand the physical world, or just align pixels with words? We introduce WM-ABench, the first systematic evaluation of VLMs as world models. Using a cognitively-inspired framework, we test 15 SOTA…
NeurIPS D&B track in a nutshell: (1) An LLM-generated benchmark dataset (2) used to test performance of LLMs (3) evaluated via LLM-as-a-judge
@levelsio Sadly this is often the way these things work - contributions from small independent researchers get lost in the noise of big tech companies and prestigious universities.

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