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Block3 (BL3)

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ICO

Block3 introduces generative gaming AI, allowing anyone to create any game they can imagine with a simple text prompt. No devs, no designers, no budget needed—Trinity, our proprietary model, completely upends the entire gaming industry.

Block3 White Paper Whitepaper

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Ticker
BL3
Type
Utility-token
Token standard
SPL
Registration year2024
Ecosystems

What is Block3

Block3 introduces text-to-game generative AI, allowing anyone to create entire video games with a simple text prompt. No coding, design, or development experience needed: an idea is all you need to create the next triple-A blockbuster.

The gaming industry is rigged to favor major studios with near-unlimited resources, while indie devs fight over scraps. Block3 levels the playing field: the strongest creative voices can now give life to their ideas thanks to the power of AI.

Block3 Roadmap

1
Foundation and ML Infrastructure | Duration: 2-3 months
  • Set up core infrastructure:
    • Establish cloud computing environment (e.g., AWS, Google Cloud)
    • Configure distributed computing systems for ML training
    • Set up data storage and management systems
  • Develop initial ML model architecture:
    • Design neural network architecture for 3D scene understanding
    • Implement basic training pipeline
  • Create data ingestion system:
    • Develop APIs for user-uploaded gameplay footage
    • Implement data preprocessing and cleaning algorithms
    • Set up data validation and quality assurance processes
  • Establish version control and CI/CD pipelines:
    • Set up Git repositories
    • Implement automated testing and deployment workflows
2
Data Training and Transparency | Duration: 3-4 months
  • Implement transparent data training system:
    • Develop data provenance tracking
    • Create user dashboard for monitoring data contributions
    • Implement data anonymization and privacy protection measures
  • Enhance ML model training:
    • Fine-tune model architecture based on initial results
    • Implement transfer learning from pre-trained models
    • Develop data augmentation techniques
  • Create initial data annotation tools:
    • Develop user interface for tagging and describing uploaded content
    • Implement semi-automated annotation suggestions
  • Establish ML model evaluation metrics:
    • Define key performance indicators (KPIs) for model quality
    • Implement automated evaluation pipelines
3
Basic 3D Simulation Engine | Duration: 4-5 months
  • Develop core 3D engine components:
    • Implement rendering pipeline (OpenGL or Vulkan)
    • Create basic physics simulation
    • Develop scene graph and object management system
  • Integrate ML model with 3D engine:
    • Implement inference pipeline for real-time scene generation
    • Develop system for dynamically loading ML-generated content
  • Create basic world-building tools:
    • Develop simple terrain generation system
    • Implement basic object placement and manipulation tools
  • Establish asset pipeline:
    • Create system for importing and optimizing 3D models
    • Implement texture and material management
4
AI-Driven Content Generation | 5-6 months
  • Enhance ML model for content generation:
    • Implement generative adversarial networks (GANs) for 3D asset creation
    • Develop natural language processing (NLP) system for text-to-scene generation
  • Create character system:
    • Implement character models with skeletal animation
    • Develop basic AI for character behavior and pathfinding
  • Implement spatial awareness and interaction:
    • Develop object interaction system
    • Implement collision detection and response
  • Enhance world-building tools:
    • Create procedural generation systems for landscapes, vegetation, and structures
    • Implement more advanced object manipulation and scene editing tools
5
Advanced AI and User Experience | 6-7 months
  • Implement advanced character AI:
    • Develop more sophisticated behavior trees and decision-making algorithms
    • Implement natural language generation for character dialogue
  • Enhance scene understanding and generation:
    • Improve ML model to handle more complex and diverse scenes
    • Implement style transfer techniques for scene aesthetics
  • Develop user experience and interface:
    • Create intuitive UI for scene creation and manipulation
    • Implement real-time collaboration features
  • Optimize performance:
    • Implement level-of-detail (LOD) systems
    • Optimize rendering and physics simulations for various hardware configurations
6
Alpha Launch and Iteration | Duration: 3-4 months
  • Implement prompt-based experience generation:
    • Develop natural language interface for scene creation
    • Integrate ML models for interpreting and executing user prompts
  • Create first playable experiences:
    • Develop sample games and interactive scenarios
    • Implement basic gameplay mechanics and systems
  • Establish feedback and iteration loop:
    • Develop analytics and telemetry systems
    • Create user feedback channels and bug reporting tools
  • Optimize and polish:
    • Perform extensive testing and bug fixing
    • Optimize performance across various devices and platforms
7
Beta and Ecosystem Development | Duration: 4-5 months
  • Implement mod support and SDK:
    • Develop plugin architecture for user-created content
    • Create documentation and examples for third-party developers
  • Enhance multiplayer capabilities:
    • Implement networking layer for real-time multiplayer experiences
    • Develop server infrastructure for hosting user-created worlds
  • Improve content creation tools:
    • Develop more advanced AI-assisted design tools
    • Implement version control and collaboration features for user-created content
  • Establish marketplace and sharing features:
    • Develop system for users to share and monetize their creations
    • Implement content curation and recommendation systems
8
Launch and Beyond | Duration: Ongoing
  • Official launch of Trinity:
  • Finalize all systems and features
  • Ensure scalability and stability of infrastructure
  • Continuous improvement and expansion:
    • Regular updates and feature additions based on user feedback
    • Ongoing ML model training and refinement
  • Ecosystem growth:
    • Foster community of developers and content creators
    • Establish partnerships for content and technology integrations
  • Research and development:
    • Explore integration of emerging technologies (e.g., VR/AR, haptics)
    • Investigate advanced AI techniques for more realistic and dynamic world simulation
  • Token Sale Dates

    ICO

    Start date: Jul 01, 2025
    End date: Jul 30, 2025

    Token Allocation

    Total Token Supply 10,000,000,000 BL3

    Token distribution


    Investors - 30%
    Liquidity - 10%
    Team - 5%
    Marketing - 10%
    Ecosystem - 20%
    Product - 25%

    Token Price and Payment Options

    Token price USD 1 BL3 = 0.0105 USDT
    Accepted Currencies USDT, SOL, BNB, ETH

    Project team

    Wojciech Litwin
    Wojciech Litwin
    Chief Technology Officer
    Wojciech Litwin linkedin-team
    Daniel Lanao
    Daniel Lanao
    Product Developer
    Daniel Lanao linkedin-team

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