$EFFECT Effect AI Community Call (Aug 13 2025) – Summary
Author:
@MiggyCrypt
— Alpha Update —
- Phase 3 completion: Over 100k tasks completed, 250k EFFECT paid
- 44 active testers: More to come in Phase 4
Key learnings:
- Task efficiency improvements
- Payment lifecycle issues being addressed
In progress:
- Platform optimization
- New and diverse task types (e.g., music analysis)
- Wallet/account integration for seamless use across devices
— White Paper Overview —
Purpose: Establish a long-term vision and technical-economic model for decentralized AI infrastructure.
Key Elements:
Three-layer architecture:
1. Execution Layer: Real-time, peer-to-peer task execution.
2. Application Layer: Builder-defined apps within the network.
3. Settlement Layer: Blockchain-connected payouts, staking, dispute resolution.
Incentive Model:
- Each app has two pools: Revenue Pool & Contribution Pool.
- Contribution Pool allows participants to "buy shares" for revenue.
- Universal Basic Income (UBI) mechanism to keep workforce ready.
- Multi-token payment with burn to attract external projects.
— Roadmap Overview —
Phase 1 (current): Foundation building—core network layers, payment systems, decentralized identity, verifiable credentials, alpha testing with real client data.
Phase 2: Dynamic application building (DAG workflows), SDK release, early DAO governance return.
Later Phases: Advanced privacy features, zero-knowledge enhancements, stronger community governance.
— Use Cases Discussed —
Whisper Model Fine-tuning:
- Collect audio, transcribe, identify errors, retrain model.
Content Moderation Service:
- Combine AI human review, monetize via protocol fees, no need to build a full SaaS infrastructure.
— Community Questions & Marketing —
Marketing readiness:
- Focus shifting from heads-down building to active outreach.
- Goal: Communicate platform capabilities clearly and attract builders, researchers, organizations, and workers.
Partnerships:
- Early talks underway, but specifics under NDA.
- Community encouraged to suggest partnership leads.
— Closing Notes —
- White paper is a live draft - community feedback encouraged.
- Strong emphasis on Effect AI becoming a one-stop shop for AI application building.
- Excitement from both team and community about moving toward beta and broader adoption.