Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness

Robbyant, Ant Group's embodied-intelligence unit, released LingBot-World-Infinity, a 14B causal video generation model that functions as an interactive world simulator. The model uses a Mixture of Bidirectional and Autoregressive attention mask and distribution matching distillation to address long-horizon drift, but the release lacks deployment code, quantitative benchmarks, and a commercial license.

Robbyant, Ant Group's embodied-intelligence unit, has released LingBot-World-Infinity LingBot-World 2.0 . It is a 14B causal video generation model that behaves as an interactive world simulator. The core idea is the Mixture of Bidirectional and Autoregressive MoBA attention mask, paired with distribution matching distillation applied over long self-rollout trajectories. Together they target long-horizon drift, the failure mode that smears textures and warps geometry in most interactive world models. A Director-Pilot agentic harness wraps the generator, where a VLM proposes events and the Diffusion Transformer renders them. The report shows a single 60-minute uninterrupted session covering 20 scenarios. But the release is thinner than the paper: one checkpoint, a 480P reference script, no deployment code, no quantitative benchmarks, and a non-commercial CC BY-NC-SA 4.0 license. The post Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness https://www.marktechpost.com/2026/07/09/meet-lingbot-world-infinity-an-open-causal-world-model-with-an-agentic-harness/ appeared first on MarkTechPost https://www.marktechpost.com .