Yupp: Reshaping AI Evaluation Models Based on Blockchain and Incentive Mechanisms

As AI applications become increasingly popular, accurately assessing model performance and enhancing user trust has become an urgent issue to be addressed. Traditional evaluation methods struggle to comprehensively cover diverse scenarios and fail to truly reflect user preferences. At the same time, the issue of model "hallucination" occurs frequently, causing users to often fall into information silos when making choices.

Yupp, as an emerging platform, is committed to reconstructing the discovery, comparison, and usage of AI models through a unique crowdsourcing model and incentive mechanism, bringing a paradigm shift to the field of AI evaluation. This article will analyze in detail Yupp's core mechanisms, technical features, team background, and its potential impact on the AI ecosystem.

Team Background and Financing

Yupp aims to build a "trustless" AI feedback market, allowing diverse user feedback to circulate freely under the incentives of blockchain and crypto economy, forming a scalable and fair transparent model evaluation layer. By incentivizing the distribution of high-quality human-labeled data, Yupp can timely capture users' actual needs and preferences in different scenarios, assisting AI developers in continuously optimizing model performance.

The project was founded by Pankaj Gupta and Gilad Mishne in June 2024, with Chief Scientist Jimmy Lin also involved. The three previously worked together at Twitter, where they built and optimized large-scale recommendation and search systems, and later gained extensive experience at Google and other platforms.

Yupp's decentralized philosophy and vision of data value transparency meet the dual needs of AI vendors for trustworthy evaluation and user participation. Coupled with the core team's rich experience, Yupp has received high recognition from industry leaders and top venture capitalists.

Recently, Yupp completed a $33 million seed round financing, led by a well-known venture capital partner. Other investors include executives from several tech giants, renowned scholars, and 45 well-known angel investors.

Core Functions and User Experience

Yupp upholds the concept of "AI for Everyone" to allow users to easily discover, compare, and use the latest AI models. The platform returns answers from multiple models simultaneously for each prompt, forming an "AI Parliament". This design not only meets users' needs for diverse choices but also effectively identifies potential "hallucinations" that models may produce, helping users make more informed decisions through comparison.

The platform now supports over 500 AI models, covering the fields of text and image generation, including several well-known and emerging models. To optimize the experience, Yupp has also launched the "QuickTake" feature, which can distill lengthy replies into concise content.

Yupp places a high priority on user privacy: all chat records are private by default unless the user chooses to make them public; even when shared publicly, personal information is not disclosed. Users can control the content and scope of sharing at any time.

Economic Model and Incentive Mechanism

Yupp will provide free usage combined with user feedback, using a "points" system to measure model usage. New users receive 5000 points upon registration, and can earn more points by rating model responses, selecting preferences, and providing reasons. The higher the quality of feedback, the greater the rewards, ensuring that users can sustainably use a variety of AI services, including high-end models, for free.

Users will receive two model responses after each question and can win a "digital scratch card" through feedback, rewarding points ranging from 0 to 250. Every 1000 points can be exchanged for 1 dollar, and users can withdraw up to 10 dollars daily and a maximum of 50 dollars monthly. Points can be exchanged for various currencies, with partners including several payment platforms. At the same time, the platform integrates stablecoins from certain Blockchain networks, providing global users with instant, fee-free rewards.

To encourage more participation, Yupp has established a referral reward mechanism, where both the referrer and the referee can earn extra points.

Yupp VIBE Rating System

To address the issues present in the existing leaderboard, Yupp has launched a beta version of the AI leaderboard and the "Yupp VIBE Score" rating system. This system gathers preference data generated by users worldwide through natural interactions, aiming to provide robust and reliable assessment results.

Yupp's evaluation principles include robustness (covering diverse scenarios, reflecting user concerns, resisting malicious behavior) and reliability (fair and neutral, transparent and public, rigorous and scientific).

The platform not only collects binary preferences but also encourages users to point out the advantages and disadvantages of replies, and conducts clustering analysis based on user backgrounds to show preference differences among different groups.

On a technical level, Yupp is exploring the use of Blockchain, cryptographic primitives, and zero-knowledge proofs to ensure the fairness, transparency, and verifiability of the evaluation process. At the same time, the platform has partnered with professional AI data providers to ensure data quality through multiple verification mechanisms.

The latest leaderboard showcases the VIBE scores and other key metrics of multiple top AI models.

Development History and Future Outlook

Yupp will officially launch in June 2025, after six months of internal testing. Since its launch, the product has been continuously iterating:

• Expand multimodal support
• Add voice interaction feature
• Introduce more cutting-edge AI models
• Integrated real-time information query
• Upgrade Payment System
• Optimize sharing and exporting functions
• Organize community activities

Yupp's mission is "to empower humanity to shape the future of AI". Through multi-perspective AI responses and user feedback, Yupp not only helps users make better decisions but also provides continuous momentum for AI evolution.

However, Yupp still faces many challenges, such as ensuring data quality with large-scale user participation, resisting potential cheating behaviors, and seeking a balance between commercialization and user incentives. These are all directions that Yupp needs to continuously explore and optimize in the future.

Overall, Yupp has opened up a new path for AI assessment through its crowdsourcing model, incentive mechanisms, and user-driven evaluation system. It provides users with a diverse AI experience while transforming user feedback into high-value training data, promoting continuous model optimization. With the support of an experienced team and capital, Yupp is expected to play a key role in the future AI ecosystem, realizing the vision of "everyone participates, jointly shaping AI."