A New Framework for Social Coordination

Disclaimer

While this article was inspired by the innovative work being done at Ask Network by @BrunoZell, the following content expands on broader theories and concepts that have captured my imagination. So, while we'll touch on Ask Network's groundbreaking approach to social coordination, we'll also dive into some mind-bending theories that could redefine how we think about governance, social interaction, and individual empowerment.

Hey there, TheState.me community!

I recently went on a deep dive through the latest batch of Gitcoin Grants and stumbled upon something that caught my eye: the Ask Network. This isn't just another blockchain protocol; it's a whole new way of thinking about social coordination and governance. Let's dive in!

What is Ask Network?

Ask Network is revolutionizing how we interact, trade, and get things done. Instead of relying on inefficient ads or complex contracts, the platform uses cutting-edge technologies like Structured Causal Models and CQL to match your needs with real-world solutions. It's like an auction house for your wants and aversions, managed by professional market makers. As the user base grows, the efficiency gains will be game-changing. We're not just building a network; we're creating a new paradigm for social coordination.

The Concepts That Blew My Mind

I'll be honest; it took me several days to wrap my head around how these concepts work together. If I'm off, correct me in the chat, please. At the core are the following ideas:

1. Ologs: A Categorical Framework for Knowledge Representation: Ologs (short for "ontology logs") are like a special kind of map for knowledge. Imagine you have a bunch of ideas or things you want to understand. Ologs help you put these ideas into boxes and then draw arrows between the boxes to show how these ideas are connected. It's like making a flowchart but with rules that make sure your flowchart is really clear and can be understood by others or even by computers.

example

1. Causality Models, Reasoning, and Inference by Judea Pearl: the coolest thing about this book is that it gives you the tools to translate complex or even non-verbal things into a "language" of math. This makes it easier to understand how one thing affects another, which is valuable in science, research, and everyday life

example

2. Semantic Computing with IEML by Prof. Pierre Lévy: is about creating a new language that computers can understand just like humans do. This language, called IEML (Information Economy MetaLanguage), is designed to be as expressive as natural languages like English or French but can also be calculated by computers. This makes it easier for computers and humans to understand each other.

example

Through the Lens of Network States

Imagine you're playing the ultimate video game called "Network State. You've got this rad idea to introduce Universal Basic Income (UBI) because, let's face it, who doesn't want free money? But hold on you can't just hit the "Give Free Money" button; you've got to plan this out like a pro.

Ologs are your game's blueprint feature. Think of it like Minecraft for policy wonks. You're placing blocks for "Where's the Money Coming From?" and "Who Gets Paid?" and connecting them with super-logical arrows. Judea Pearl's Causality Models act as the simulation engine, rigorously testing "what-if" scenarios to predict the ripple effects of various UBI policies on economic and social metrics. Will your digital citizens start a revolution or throw a startup party? Finally, all this complex data is translated into IEML, a universally understandable language, ensuring that both policymakers and citizens can engage in informed discussions and decision-making.

This unified framework elevates the Network State from just a bunch of pixels into a new paradigm of data-driven, breathing participatory democracy, streamlining policy implementation while empowering citizens to be active stakeholders.

The Challenges

While this combination offers a robust framework for implementing UBI in a Network State game, there are significant challenges to consider, such as:

• Complexity is a major concern; the intricate frameworks could make the policy landscape difficult to navigate, slowing down decision-making.

• Scalability poses another challenge; what works on a small scale may not necessarily be effective when expanded, requiring constant adjustments.

• Ethical concerns also arise, particularly in the use of predictive modeling to determine UBI eligibility and distribution, which could introduce biases.

• Feedback loops are essential for real-time adjustments, but the system's complexity could make these loops slow to respond to emerging issues.

• Finally, the political will to adopt such a technologically advanced and data-driven approach may be lacking, creating resistance to change.

The Dream That Won't Let Go

So, I've been marinating in this idea for a week now, and it's like a catchy tune that I can't get out of my head. Imagine a world where we're not just arbitrating wants and opportunities for a handful of people but for millions. We're talking about a global, digital stage where you, me, and everyone we know can be the directors of our own life movies.

This isn't just about making life a bit easier or more convenient; it's about Empowerment with a capital "E." Sovereign Individuals would have a crystal-clear understanding of the system's rules, the cheat codes, and the Easter eggs. This isn't just about playing the game; it's about designing it. Imagine you're not just choosing between Door #1 and Door #2; you're actually designing the doors, the rooms behind them, and the entire building. You're the architect of your own destiny, consciously designing the longest, most fulfilling game that can be played.

You're not just reacting; you're creating. And that is the kind of future I can't stop thinking about.

Stay evolving🐌