#Wayfinder as a new type of on-chain #AI economic model

CN
Rocky
Follow
1 day ago

Wayfinder as a new type of on-chain #AI economic model is an interesting innovative practice, representing a perfect fusion of #DEFI + #AI. I have never encountered such an effective positive incentive flywheel. Each #AI task path goes through a cycle of creation - collateralization - verification - usage - growth - additional collateralization - further growth, thereby continuously expanding the @AIWayfinder ecosystem!

Today, I saw the summary and logic from founder K哥 (@templecrash), which is unbelievable and a genius design. Here’s a simple breakdown:

1️⃣ Teaching #AI to perform on-chain tasks

Users can train #AI to learn a specific on-chain task, such as executing specific smart contract operations, analyzing data, optimizing DeFi strategies, etc. This process is similar to establishing reusable "paths" on-chain. The skills learned by the AI can later be used by others, akin to creating a long-term appreciating digital asset on-chain that can continuously generate revenue.

2️⃣ Guaranteeing information through collateralizing $PROMPT tokens

When users teach #AI tasks, they need to collateralize $PROMPT tokens as a guarantee of information quality. This mechanism ensures the reliability of the information and prevents the market from being polluted by junk data.

3️⃣ Verification mechanism for task paths

• Other users can pay a verification fee to check the accuracy of the task path.

• Once verified, the task path becomes a public resource available for everyone to use and is secured.

• After verification, the collateralizer can receive additional rewards and maintain the market credibility of the path.

5️⃣ Passive income from using task paths

• Anyone can call these #AI task paths, while the original creator can earn a share of the revenue from usage.

• As the path is used by more people, the revenue gradually accumulates, forming a long-term cash flow.

6️⃣ The "network effect" of task paths

• Popular paths attract more users, increasing the path's value.

• Investors who stake $PROMPT can add more collateral to enhance security while earning higher returns, similar to liquidity mining in DeFi, where users can earn rewards by contributing collateral.

• More collateral = higher security = more capital inflow, creating a virtuous cycle.

7️⃣ Asset appreciation and amplified returns

• Early participants can lock in low-price stakes to increase future yield.

• The collateral for popular paths increases, driving larger capital flows and enhancing path value.

• Increased liquidity depth attracts institutional investors, further driving up the price of $PROMPT.

As capital flow increases, it promotes continuous iteration of the entire ecosystem, forming a strong positive cycle from creation - collateralization - verification - usage - growth - additional collateralization - further growth, enabling the sustainable expansion and growth of the #Wayfinder ecosystem. This model is also the most attractive among the many #DeFAI track projects I have seen recently. This strategy provides users or investors participating in each cycle with substantial returns that vary based on their risk tolerance. For example:

• Ordinary retail investors can participate in early layouts: In the early market, teaching AI tasks and creating paths to gain a first-mover advantage.

• Institutional investors can engage in long-term staking: By adding collateral, locking in profits from high-yield paths.

• Participation in liquidity management: Combining with other DeFi mechanisms to improve capital efficiency and explore more high-yield DeFi paths for passive returns.

Summary: #Wayfinder, through this comprehensive incentive scheme, brings a new paradigm model to the #DeFAI track, combining #AI empowerment and DeFi staking mining, providing users with new investment opportunities, and is expected to become the core infrastructure of the future #DeFAI track, which is worth looking forward to. 🧐

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