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LingBot-World

LingBot-World is a native interactive world model evaluated by WBench.

robotics model-based-rl simulation embodied-ai

Key Attributes

Static HTML snapshot of the model record for crawlers and no-JS readers.

AttributeValue
ModelLingBot-World
Lab / OrganizationAnt
CategoryGenerative World Model
SubtypeVersatile Interactive World Model
World Model TypeVersatile Interactive World Model
Primary DomainInteractive Video
ArchitectureAutoregressive video world model with camera, action, and event interaction
ModalityImage + Camera/Actions -> Interactive Video
Training MethodAutoregressive interactive world modeling
Statusemerging
Year2026

About LingBot-World

Main editorial body preserved directly in static HTML.

LingBot-World generates an evolving environment conditioned on camera input. It is included as a native interactive system rather than a text-to-video model wrapped in WBench's chained-context protocol.

LingBot-World is a versatile interactive world model developed by Ant Group in 2026 for interactive video.

Editorial Snapshot

Short extractable facts for answer engines and no-JS readers.

SignalValue
DefinitionLingBot-World is a versatile interactive world model developed by Ant Group in 2026 for interactive video.
Short DescriptionLingBot-World is a native camera-conditioned interactive world model evaluated by WBench.
Benchmark Rows1
FAQ Entries1
Related Models3
Related Guides0
Related Research Topics0
Last Updated2026-08-31

Notable Features

Key capabilities associated with this model.

  • Versatile interactions
  • Infinite-world positioning
  • Open source

Use Cases

Representative applications attached to this model record.

Interactive environment simulationWorld-model evaluationInteractive Video

Strengths and Limitations

Balanced assessment surfaced in static HTML.

Strengths

  • Versatile interactions
  • Infinite-world positioning

Limitations

  • Score represents v2 fast variant
  • Variant results must remain versioned

Benchmarks

Published benchmark evidence attached to this model record.

BenchmarkMetricResultSource
WBenchFive-dimension average 79.4 /10079.4Source

References and Citations

Primary references preserved in static HTML for citation extraction.

ReferenceLink
Ant Group. LingBot-World. Primary project source.Open source
Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.Open source

Related Models

Nearby models linked from the current editorial record.

ModelCategoryWorld Model TypeIndex v1.1
HY-World 1.5Generative World ModelCamera-Conditioned Interactive World ModelN/A
Matrix-Game 2.0Generative World ModelOpen-source action-conditioned streaming video world modelN/A
Genie 3Generative World ModelReal-time interactive 3D environment generation89/100

Frequently Asked Questions

FAQ answers rendered directly into static HTML for extractable responses.

Why is LingBot-World included?

LingBot-World exposes native camera conditioning and generates an evolving interactive environment; WBench evaluates that interface directly.

Quick Answer

Short extractable summary preserved directly in static HTML.

  • LingBot-World is a versatile interactive world model developed by Ant Group in 2026 for interactive video.
  • Use this page when you need a fast read on how LingBot-World fits into the generative world model landscape, then validate the details in the benchmarks, citations, and related pages.
  • A key strength surfaced in the editorial record is versatile interactions.

Editorial Trust Signals

Editorial provenance and refresh policy preserved directly in static HTML.

Published by world-models.io editorial board.

Lead editor Tyler D. - Technical editor, methodology and benchmark analysis.

This model page synthesizes primary papers, official model pages, benchmark evidence, and related world-models.io context into a reference resource.

Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-08-31.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. See the editorial policy.

Primary sources onlyLast reviewed date visibleMethodology documentedSource links included

External Sources

Primary model and lab sources embedded in static HTML.

References

  1. [1] Ant Group. LingBot-World. Primary project source.
  2. [2] Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.