A New Alliance Between AI Agents and Human Autonomy

Tilted, the AI platform transforming live game worlds into structured spatial data, has announced a strategic partnership with Action Model, the world’s first Large Action Model (LAM) — a decentralized AI system that can operate computers autonomously, just like humans.

After 18 months in stealth and over $2M invested in R&D, Action Model is preparing to launch a suite of revolutionary tools:

• LAM1 (Large Action Model) — a foundational AI model capable of interacting with computers across applications.

• Actionist — a Mac, Windows, and cloud-based system enabling AI to use the entire computer environment.

• Browser Extension — a workflow builder and LAM training interface.

• Marketplace — where the community and partners can publish and monetize workflows.

Backed by executives and engineers from NEAR, Arbitrum, Polkadot, VeChain, Polygon, Uniswap, and Fetch.AI, Action Model is a movement to ensure that the power of autonomous AI doesn’t belong to Big Tech — but to the people who build and train it.

Tilted, a leader in AI data collection and creator economies, will integrate its Tag & Earn and Streaming Marketplace systems into the Action Model ecosystem, aligning both platforms around a shared mission: to democratize the ownership of AI labor.

Action Model: The Resistance to Big Tech

The global workforce is undergoing a fundamental shift. Over 1 billion people work behind computers, performing digital tasks that AI can now execute faster, cheaper, and at scale. Action Model’s LAM technology can view screens, control keyboards and mice, and navigate applications autonomously — representing a new frontier in human-computer collaboration.

But unlike closed AI systems owned by corporate giants, Action Model is built around a community-owned DAO, where contributors train the LAM and receive ownership in return.

Key Pillars of Action Model:

• ⚙️ LAM1: Trained by the community to perform digital actions across any app.

• 💻 Actionist: AI software that acts like a human user, available across desktop and cloud.

• 🌐 Browser Extension: Lets anyone train and customize workflows for automation.

• 🧠 Marketplace: A decentralized hub for publishing, trading, and evolving AI workflows.

Action Model represents not just a technological breakthrough, but a philosophical one — redefining how AI labor is created, shared, and owned.

Tilted: Building the Data Infrastructure for AI Labor

Tilted specializes in capturing live gameplay and turning it into structured, tokenized intelligence. Through their Tag & Earn and Streaming Marketplace platforms, they empower users to earn rewards by tagging, clipping, and annotating gameplay — data that trains AI systems and prediction models across gaming and entertainment.

With over 563M players, 100+ publishers, and 50+ top streamers, Tilted’s infrastructure transforms collective human activity into decentralized intelligence.

Partnering with Action Model allows Tilted to extend their mission into the broader AI labor economy — enabling game data, tagging behavior, and digital skillsets to contribute directly to the training and evolution of LAM1.

Shared Vision: Decentralized Intelligence for Everyone

Both Tilted and Action Model share a belief in AI as a public good — where intelligence is not owned by a few corporations, but powered and governed by its contributors.

Through this partnership, Tilted’s community will gain access to Action Model’s infrastructure to:

• 🧩 Train AI workflows using gameplay data.

• 💰 Monetize tagged datasets as LAM training inputs.

• ⚡ Publish creator-built AI automations in the Action Model Marketplace.

By connecting AI data creation (Tilted) with AI execution (Action Model), the partnership forms a full cycle of decentralized intelligence — from input to action, from creativity to autonomy.

The Road Ahead

Together, Tilted and Action Model are redefining how AI learns, acts, and rewards its contributors. In a world where AI increasingly replaces digital labor, they’re building an alternative — one where users own the machines that work for them.

This is not just about technology — it’s about reclaiming the future of AI.