Strategy Goals

• Publishing our Whitepaper - can RnDAO support with review/structure?
• Community building with other decentralised AI projects - Can RnDAO host events with us to collaborate with other decentralised AI projects?

Fundraising Goals

• £80,000 over the year - we’re hoping to get £60,000 from Bethnal Green Ventures. Can RnDAO help with additional grants/investor connections?

Tech Goals

1. QA of Context-Aware Toxicity Detection Models

• Establish QA framework and testing protocols for context-aware models
• Complete baseline accuracy testing across 3-5 different community contexts
• Document performance gaps between generic vs. context-aware approaches
• Achieve 80%+ accuracy rate in context-specific toxicity detection
• Complete comparative analysis showing improvement over generic models
• Finalise QA processes for future model deployments

2. Community Governance & RLHF Systems

• Design governance framework for community decision-making on model training
• Prototype basic RLHF interface for community feedback collection
• Test voting/consensus mechanisms with pilot groups

3. On-Chain Sharing Mechanisms