AI world model progress

AI world model progress in plain user actions.

Read the field as a path from creating and exploring worlds to controlling, simulating, and building with them.

CreateExploreControlSimulateBuild
From clip to place

Main path

AI world model progress reads as Create, Explore, Control, Simulate, Build.

The goal is orientation, not a paper tracker: first what a person can do, then which company and model lane supports that action.

Action map

The current model set through practical actions.

Create and Build are the product-facing lanes. Explore, Control, and Simulate explain the research and adjacent progress without making it sound like every model is already a public tool.

3D world
Try nowMarble

World Labs / Marble

Create persistent 3D worlds from prompts, images, video, or spatial inputs for scenes that can be explored and reused.

Output3D world
Use caseCreate / Explore / Build
Best for3D concept worlds, spatial storyboards, exportable scene assets
Playable world
Research previewOasis

Oasis

Understand how keyboard actions can steer an AI-generated world frame by frame instead of replaying a fixed clip.

OutputPlayable world
Use caseExplore / Control / Simulate
Best forinteractive world demos, action-conditioned generation, game-like research
Playable world
Research previewGenie

Genie

See how promptable interactive environments differ from ordinary generated video or hand-authored game levels.

OutputPlayable world
Use caseExplore / Control / Compare
Best forinteractive prototypes, learned world rules, research comparison
Open world
Early accessHappy Oyster

Happy Oyster

Explore Alibaba's product-facing path for directing an open world while it continues unfolding.

OutputOpen world
Use caseCreate / Explore / Control
Best forimmersive creation, directed exploration, film and game concepting
360 world
Try nowSkybox

Skybox AI

Generate 360-degree environment worlds for VR backdrops, games, mood boards, and web 3D scenes.

Output360 world
Use caseCreate / Explore / Build
Best for360 environments, VR and game backplates, HDRI-style world shells
3D world
Open sourceHY-World

HY-World 2.0

Inspect Tencent's open 3D world generation and reconstruction path for persistent scene assets and engine-oriented workflows.

Output3D world
Use caseCreate / Build / Simulate
Best foropen 3D workflows, reconstruction research, engine-ready scene assets
Agent society
Open sourceProject Sid

Project Sid

Study what happens when many AI agents inhabit a shared world, specialize, organize, and form social patterns.

OutputAgent society
Use caseSimulate / Compare / Build
Best foragent societies, civilization simulation, social behavior research

Already usable

Two product lanes should stay prominent.

World Labs / Marble and Skybox AI are the clearest consumer-facing surfaces in the current site story. They stay visible, but they are not turned into a station for orders, payments, or automatic generation.

Usable product

World Labs

Create editable 3D worlds in Marble.

LaunchedMarble world creator and World API direction
Visitor can seeCreate, edit, explore, share, and export a persistent 3D world from a web product.
BoundaryBest for 3D world creation; not a robot simulator or many-agent game world.
Usable product

Blockade Labs

Generate 360 environments with Skybox AI.

LaunchedSkybox AI app, API, and export workflow
Visitor can seeCreate skyboxes, HDRI-style environments, GLB exports, and scene backdrops.
BoundaryBest for environment shells and 360 scenes; not a full realtime world simulator.