Introducing Substrate—An Open-source Framework for Human Understanding, Meaning, and Progress

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AI Summary

Summary: Substrate Project Announcement

• Introduction
  • Daniel Miessler introduces Substrate, a long-awaited project.
  • Substrate is an open-source framework aimed at enhancing human understanding, meaning, and progress.
• Purpose
  • To make human-related topics more transparent, discussable, and fixable.
• Components
  • Substrate consists of components called “substrate components,” which include:
    • Ideas: Collections of novel human ideas.
    • Problems: Lists of significant human problems.
    • Beliefs and Models: Conceptualizations of reality.
    • Frames: Narratives or lenses for perceiving reality.
    • Solutions: Corresponding to problems.
    • Information Sources: Comprehensive lists spanning ideologies.
    • People: Individuals and organizations.
    • Laws: Legislation from various governments.
    • Claims: Factual or truth claims about the world.
    • Votes: Lists of votes and results from laws.
    • Arguments: Lists of arguments for or against topics.
    • Funding Sources and Lobbyists: Lists of lobbyists and their agendas.
    • Facts: Verified claims, noting that truth can change over time.
• Structure
  • Lists maintained in GitHub repositories.
  • Open-source community contributions are encouraged.
• Visualization and Argument Analysis
  • Substrate turns arguments into structured graphs with claims, research, and sources.
  • Allows for transparent discussions and logical conclusions.
• Real-World Use Cases
  • Describing Yourself: Articulate personal values, goals, and beliefs.
  • Visualizing Arguments: Analyze and publish results on narratives or claims.
  • Leadership: Leaders can provide clear plans with problems, solutions, strategies, and KPIs.
  • Accountability: Monitor crime and corruption by analyzing public records and lobbyist activities.
  • Science: Accelerate scientific processes from hypothesis to results.
  • Optimization: AI can optimize processes within companies, governments, etc., based on goals and data.
• Combination with AI
  • AI can hold all of Substrate in mind, asking and acting on meaningful questions.
  • AI can optimize systems using full knowledge of goals and progress.
• Conclusion
  • Substrate aims to improve human discourse and action on important issues.
  • The project is collaborative and open for contributions.
• Acknowledgments
  • Thanks to early contributors and supporters of the project.

For more information or to contribute, visit the Substrate project on GitHub.