viralmind.ai
  • Viralmind's Mission
  • The $VIRAL Token
  • Roadmap
  • What Sets Viralmind Apart?
  • Join Our Communities
  • The Team
  • Understanding Computer Use Agents
    • ❓What is a Computer Use Agent?
    • 🖥️Real World Examples and Use Cases
  • The Forge
    • ℹ️Introduction
    • 🌀Training Pools
  • Training Gym
    • ℹ️Introduction
    • 🔄How It Works
    • 🪧Demonstrations
    • 📊Demonstration Data
  • Inference API
    • 🤖Deploy Agentic AI with $VIRAL
  • Frequently Asked Questions
    • ❓General FAQs
    • ❓Technical FAQs
    • ❓Token and Ecosystem FAQs
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  • Core Principles
  • Long-Term Vision

Viralmind's Mission

At ViralMind, our mission is to revolutionize AI automation by enabling computer-use agents to learn directly from human demonstrations at scale. We believe that the future of AI is agentic, meaning AI systems should be capable of performing real-world tasks on a computer just as a human would— navigating software, managing files, automating workflows, and executing complex multi-step operations.

We are building an open and scalable ecosystem where AI can be trained efficiently, fairly rewarded, and deployed in a way that benefits both businesses and users.

Core Principles

  1. AI as a workforce, not just a tool.

    1. Traditional AI models generate text and images, but Viralmind enables AI to act, automating tasks like data entry, research, customer support, and e-commerce.

  2. Human-Guided Training

    1. Unlike static training methods, we use a crowdsourced approach. Users provide real demonstrations, teaching AI how to execute tasks exactly as a human would. This builds AI systems that are practical and adaptable.

  3. Open and Permissionless AI

    1. AI development as long been bottlenecked by closed ecosystems. Viralmind's approach allows anyone to contribute to AI training and benefit from the rewards, ensuring decentralization and transparency in AI automation.

  4. Quality-Based Earnings for Contributions

    • AI trainers are compensated in $VIRAL, our native token. Demonstrations are automatically evaluated for quality, creating an incentive-aligned ecosystem where high-quality demonstrations fuel better AI performance.

  5. Scalability and Real-World Use Cases

    • ViralMind is designed for real applications, providing data from real desktops, scaling from enterprise automation to personal AI assistants, with seamless integration into existing software and workflows.

Long-Term Vision

We envision a future where:

  • AI agents can seamlessly replace manual digital labor, allowing businesses and individuals to automate complex tasks without requiring technical expertise.

  • Users can earn by teaching AI, similar to how gig economy platforms reward human labor today.

  • Companies can deploy AI workers, scaling operations while reducing costs.

  • AI training is decentralized and trustless, removing reliance on a few large players to control AI development.

By aligning economic incentives with AI progress, ViralMind is creating an autonomous, decentralized, and self-improving AI workforce.

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Last updated 1 month ago