decentralized attention markets.md

The Problem

• Current AI models (GPT, Claude, etc.) have fixed attention mechanisms
• Users can't influence what the model focuses on

FFC Solution

class AttentionMarket:
    def __init__(self):
        self.particles = {}  *# Each particle = concept/token*
        self.user_stakes = {}  *# Users buy focus for concepts*
        
    def process_query(self, query, user_stakes):
        *# Users stake tokens on concepts they want emphasized*
        *# Focus flow naturally weights attention*
        *# AI responses emerge from consensus focus*
        return weighted_response

10x Advantage

• Users get personalized AI responses based on their focus stakes
• Market discovers optimal attention patterns
• No centralized control over AI behavior