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# System prepended metadata

title: Tracks
tags: [Tracks]

---

# Pi-rateship Overview

## Quick Facts
- **Duration**: January 27th - September 2025
- **Format**: 3-5 houses with rotating participants
- **Capacity**: ~500 participants total
- **Daily Schedule**: 5-10 PM
- **Structure**: Hybrid (IRL + Livestream)

## Core Tracks

### 1. Credible AI Agents
- **Autonomy & Agency**
  - Development of credible AI systems
  - Real-world crisis solutions
  - Agent evaluation frameworks
- **TEE & Security**
  - Trustless Trusted Execution Environment
  - Security implementation
  - Hardware integration
- **Social Applications**
  - Use case development
  - Social platform integration
  - User experience design

### 2. DAO 2.0
- **Governance**
  - Automation systems
  - Decision-making frameworks
  - Hybrid governance models
- **Efficiency**
  - Process optimization
  - Resource allocation
  - Team coordination
- **Legal/Technical**
  - Regulatory compliance
  - Smart contract implementation
  - Legal framework integration

### 3. Deep Funding
- **Attribution Systems**
  - Contribution tracking
  - Credit distribution
  - Transparency mechanisms
- **Review Process**
  - Human review integration
  - Privacy-preserving feedback
  - Quality assurance
- **Metrics**
  - Performance evaluation
  - Impact assessment
  - Success indicators

### 4. Technical Infrastructure
- **Hardware**
  - Physical setup optimization
  - Security implementation
  - Resource management
- **Livestream**
  - Multi-room configuration
  - Content distribution
  - Recording systems
- **Validation**
  - Task verification
  - Quality control
  - Progress tracking

## Weekly Focus
1. **Current Week**: TEE, tech stack, hardware
2. **Next Week**: Legal focus with DUNA & Variant
3. **Ongoing**: rotating subject matter experts

## Key Personnel
- Research Anchors
- Legal/Technical Experts
- Ecosystem Navigators
- Rotating Experts:
  - Shaw (1-2 weeks)
  - Binji
  - ...

## Events
- Saturday: Curated talks/workshops
- Sunday: Demo day
- Daily: Hybrid livestream sessions

## Goals
1. Create practical applications
2. Develop credible AI systems
3. Improve DAO functionality
4. Build and test new tools
5. Foster collaboration