Image created with Gemini. Image prompt: A horizontal 1920s Dada Merz collage on aged board showing a small driverless cart built from layered tram tickets, parking stubs, and kraft paper rolling across a torn transit-map roadway with dashed routes cut from ledger digits and a faded compass rose stamp, aged newsprint cream and vermilion red with ink black and slate blue, the word ‘Autonomous’ spelled across the top in mismatched cut-out letterpress typefaces glued at slight angles with visible fiber edges and adhesive stains, flat even lighting like a scanned physical artwork.
60% of contracts filed to the SEC contain mistakes. Spellbook Labs ran 60,000 pages of contracts from 500+ public companies through AI to answer a question: How often do human lawyers hallucinate? Accidents from self-driving cars get headlines–and they should. But human drivers”
https://x.com/scottastevenson/status/2069413077351596143
📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation. 🤔 LLMs are trained to be”
https://x.com/Alibaba_Qwen/status/2069720365442719867
We open-source Qwen-AgentWorld-35B-A3B (MoE, 35B/3B active, 256K context) and AgentWorldBench. Two routes, one roadmap: 🔬 Build the simulator — scalable, controllable, surpassing real environments 🧠 Internalize world modeling — predict before you act Qwen-AgentWorld is our”
https://x.com/Alibaba_Qwen/status/2069720412481888400
[2606.24597] Qwen-AgentWorld: Language World Models for General Agents
https://arxiv.org/abs/2606.24597
🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agentic environment prediction → tested directly on multi-turn, tool-calling agent tasks. No agentic RL, no task-specific tuning. Gains across 7 benchmarks, including 3 entirely”
https://x.com/Alibaba_Qwen/status/2069720397747220493
Mondo is the most adorable companion robot. It’s safe around kids, can track and follow a person, and capture high-resolution action videos. Mondo is also doing frontier research in humanoid Video-Action models built on a world model backbone:
https://t.co/vuOIngXzVa. I have no”
https://x.com/TheHumanoidHub/status/2067409544574087632
🚨 A standard on the chaos of industrial robotics? @NVIDIARobotics announces “Halos for Robotics”. The Industry’s First Full-Stack Safety System for Physical AI. → Adapting 18,600+ years of autonomous vehicle safety to physical AI. → An ANAB-accredited “AI Systems Inspection”
https://x.com/IlirAliu_/status/2069119225210523911
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