PLAY & CREATE

ELSEWHERE

GTA V Roleplay

More than one way to live.

For players, streamers and creators.

RESEARCH & BUILD

VISION & CAPTURE

AI Training & Evaluation · In Development

From interaction to evidence.

Connect footage, actions and environment state into structured data.

Manga city scene with illustrative vehicle and person labels, structured data and a frame timeline — Illustrative analysis · model-inferred labels

Frames · Actions · State changes · Outcomes

Starting in Elsewhere. Building toward more environments.

One city. Countless lives to lead.

Elsewhere brings human roleplay together with AI characters and connected city systems. Explore different roles and create your own story.

PoliceDrug lordPilotArmyFootball / GAFFERParamedic

Our future direction includes tools for players to propose and create more jobs around the city.

Explore GAFFER →

Server joining details will be added here.

From interaction to evidence.

Illustrative episode: a player exits a stopped vehicle. This explains the record structure; it is not a published capture or benchmark result.

01 · Observation

Frame reference, timestamp and relevant environment state. Initial state: player inside a stopped vehicle.

02 · Action

Vehicle exit event recorded alongside control inputs and the observation timeline.

03 · State change

Player in vehicle: true → false. Keep measured state separate from the model's scene description.

04 · Outcome check

For an explicit “exit vehicle” task, a rule can check that the player is outside the vehicle. Without a task, label it an observed transition.

Footage alone supports interpretations. Instrumented environments can provide measurements and outcome checks.

Worlds and the tools to understand them.

We are building Elsewhere, a GTA V roleplay city, and Vision & Capture, tools for structuring interactions into data for AI training and evaluation. Elsewhere is the first proving ground; the ambition extends to more games, simulations and interactive applications.

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