📢Allora Project Series 4/ "Risks and Defense Strategies Facing Allora" ▪️Currently, I have not even entered Allora @AlloraNetwork for 7 days yet. Honestly, this is the first time I've experienced something like this, and I am quite bewildered. ▪️I feel like my posts are not being properly reflected in the Mashé, which makes me quite uneasy. ▪️I considered just quoting other Inner Circle members' posts, but... I will do it my way. Today, let's explore the risk management perspective that sets Allora apart from most new Web3 projects. Key Summary ▪️There are risks in technology, market, and ecosystem, but Allora has defense strategies in place. ▪️The ability to manage risks, as well as advantages, builds long-term trust with investors. ▪️Ultimately, Allora is a project that operates on two wings: "growth and defense." 1. Technical Risks ▪️Degradation of AI model quality: Even if the number of initial participants increases, if a lower quality model is supplied, it can lead to trust issues. ▪️Risks of hacking and data manipulation: Due to the nature of DeAI, there is a possibility that distributed data could become a target for attacks. ▪️Allora's strategy: Introduction of a validator-based model quality assessment mechanism and slashing system. Inaccurate or malicious models are automatically eliminated, and correct participants are encouraged. 2. Market Risks ▪️Competition among AI and blockchain fusion projects: There is a need to differentiate from existing frontrunners. ▪️Surrounding economic variables: Token demand may shrink depending on interest rate policies and liquidity environment. ▪️Allora's strategy: Positioning as a DeAI network Layer rather than a simple AI marketplace. ▪️Expanding real-use cases where AI models operate in dApps to secure intrinsic demand. 3. Ecosystem Risks ▪️Lack of initial participants: Data providers, modelers, and dApp developers must gather in sufficient numbers for a virtuous cycle to operate. ▪️Token inflation: Excessive rewards may create short-term liquidity but can dilute long-term token value. ▪️Allora's strategy: Optimizing the incentive curve, concentrating rewards initially but gradually reducing them to strengthen network self-sustainability. ▪️Expanding partnerships: Collaborating with AI startups and blockchain L1/L2 to quickly secure an initial user pool. Personally, I may not fully understand the technology perfectly (due to my knowledge limitations), but the fact that anticipated risks and countermeasures have already been designed indicates that Allora is actively attempting to address issues without hiding them, signaling that it is not just a simple theme coin but a sustainable Layer project. (Of course, we will have to see!)
📢Allora Project Series 3 / Token Economy and Reward Mechanism Key Points Summary ▪️Allora @AlloraNetwork secures ecosystem sustainability through a structural design that rewards participation and contribution. ▪️A balanced structure where data providers, model developers, and validators all receive incentives. ▪️Pursuing a value accumulation model where network growth and token value rise together. Allora designs an economic structure that distributes rewards based on participation and contribution. This is a key element that ensures the sustainability of the ecosystem. 1. Core of Token Economy ▪️Participation-based distribution: Allora provides token rewards to participants who provide data, researchers who develop models, and validators who operate the network. ▪️Value accumulation: As the network grows, the value of data and models increases, thereby strengthening token demand. ▪️Utility-centered: Encompasses various utility functions such as model access, data usage, and governance participation. 2. Reward Mechanism ▪️Data providers: More rewards for providing high-quality data. ▪️Model contributors: The more useful their algorithms are in the network, the greater the token incentives. ▪️Validators: Receive rewards for maintaining network integrity and providing stability. ▪️This structure clarifies the roles of participants and motivates everyone to contribute to network growth. Most DeAI will likely have a similar structural form. The most important thing is how finely the contributions of data, models, and participants are connected to create a virtuous cycle that returns to the overall growth of the network. 3. So, what should investors watch for? ▪️Allora's token economy is a structure where network growth and token value rise together. ▪️As the number of participants increases, the quality of data and models improves --> strengthening network reliability. ▪️Strengthening network reliability --> increasing token demand. ▪️Increasing token demand --> long-term value accumulation. ▪️Not relying on initial funding, the contribution of models and data is directly linked to rewards. I will post detailed research on the token economics in the comments. (By chatGPT) I have checked the white paper.
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