KAWAI Proof of Compute (PoC) System: Documentation Implications
KAWAI Proof-of-Compute (PoC) System: Documentation Implications
Integrating a Proof-of-Compute (PoC) system, where users providing AI computation (e.g., via Ollama) are rewarded with $KAWAI tokens, has significant implications for the KAWAI project documentation. This system represents a core component of KAWAI's long-term utility and its vision to become the cheapest AI agent.
The following documents will require updates to incorporate the PoC concept:
KAWAI Whitepaper (
/home/ubuntu/upload/KAWAI_Whitepaper_Revised.md
)- Token Utility Section: Needs significant expansion to detail the PoC mechanism as a primary utility for $KAWAI. Explain how $KAWAI will be used to reward compute providers and potentially how users will pay for AI services using $KAWAI.
- Ecosystem Architecture Section: Must be updated to include the PoC layer, detailing the roles of compute providers, users requesting AI tasks, verifiers (if any), and the oracle system.
- Roadmap Section: The PoC system development and rollout will need to be integrated into later phases (e.g., Phase 3 or 4), clearly outlining its development milestones.
- Technical Vision/Solution Section: Describe the conceptual framework of the PoC system, including how computational work (e.g., from Ollama) might be measured, verified, and rewarded.
KAWAI Phased Roadmap (
/home/ubuntu/kawai_strategy/kawai_phased_roadmap.md
)- Later Phases (e.g., Phase 3: Expansion, Phase 4: Maturity): These phases will need to be updated to explicitly include the research, development, testing, and launch of the PoC system. Milestones could include PoC design, prototype development, testnet launch with PoC, and mainnet integration.
Phase 1 Tokenomics (
/home/ubuntu/kawai_strategy/phase1_tokenomics.md
)- Token Distribution Section: A specific allocation from the "Treasury & Future Development" or a newly defined "Compute Rewards Pool" needs to be earmarked for PoC rewards. The size of this pool and its emission schedule should be conceptually outlined.
- Value Accrual / Utility Section: Explicitly mention the future role of $KAWAI in the PoC system as a reward and potentially a payment mechanism.
KAWAI Technical Specifications (
/home/ubuntu/kawai_strategy/kawai_technical_specifications.md
)- New Section: Proof-of-Compute System: This new section will need to provide a more detailed conceptual overview of the PoC architecture. This would include:
- Proposed methods for measuring computational work (metrics from Ollama, etc.).
- Potential verification strategies (e.g., ZK-proofs, redundant computation, reputation systems).
- Role of oracles in bringing off-chain data on-chain.
- Interaction with the Solana blockchain and smart contracts for reward distribution.
- New Section: Proof-of-Compute System: This new section will need to provide a more detailed conceptual overview of the PoC architecture. This would include:
KAWAI Phase 1 Comprehensive Plan (
/home/ubuntu/kawai_strategy/KAWAI_Phase1_Comprehensive_Plan.md
)- Section 7: Next Steps Post-Phase 1 (High-Level Outlook): This section should be updated to more prominently feature the PoC system as a key development in subsequent phases.
KAWAI AI Pricing Strategy (
/home/ubuntu/kawai_strategy/kawai_ai_pricing_strategy.md
) & KAWAI AI Credits Estimation (/home/ubuntu/kawai_strategy/kawai_credits_estimation.md
)- These documents, while conceptual, will need to be revisited. If $KAWAI is used directly for AI computation (as discussed previously), the PoC system is how the "supply side" (compute providers) is managed. The pricing strategy for end-users will be intrinsically linked to the cost of rewarding compute providers via the PoC mechanism.
General Implications:
- Complexity: The documentation will need to convey that the PoC system is a complex, long-term development effort.
- Community Communication: All public-facing documents (especially the Whitepaper and Roadmap) must clearly articulate how the PoC system contributes to KAWAI becoming the "cheapest AI agent" and benefits token holders and compute providers.
These identified implications will guide the specific updates needed for each document.