InfoFi: A New Paradigm for Attention Markets Driven by AI

In the era of information explosion, human attention has become the most scarce resource. The digital revolution has driven human civilization from capital scarcity to attention scarcity, giving rise to the emerging field of InfoFi. InfoFi aims to transform abstract information into quantifiable value carriers through blockchain, token incentives, and AI technology, reshaping the value distribution model of the traditional attention economy.

Core Advantages of InfoFi

• Value redistribution: returning the profits monopolized by the platform to the true contributors.
• Information Valuation: Transforming abstract concepts into tradable digital assets
• Low barrier to entry: Users can participate directly through social accounts.
• Innovative incentive mechanisms: rewards for creation, dissemination, interaction, and other aspects.
• Cross-domain applications: AI assists in content evaluation, prediction optimization, etc.

Main Categories of InfoFi

Prediction Market

Project Representation:

• Polymarket: The largest decentralized prediction market
• Kalshi: A prediction platform regulated by the CFTC

Mouth Lick Type InfoFi

Representative Project:

• Kaito AI: Yap-to-Earn platform collaborating with multiple projects
• Cookie.fun: A platform for tracking the mind share of AI agents.
• Virtuals: AI agent launch platform, supports Yap-to-Earn

Multi-dimensional contribution value realization

• Galxe Starboard: A contribution assessment system that integrates on-chain behavior.
• Mirra: A decentralized AI model trained on community-curated data

Reputation-based InfoFi

• Ethos: On-chain reputation protocol, generating credibility scores
• GiveRep: A Sui ecosystem project that converts social influence into on-chain reputation.

Attention Market/Forecast

• Noise: Trend discovery and trading platform based on MegaETH
• Upside: Social prediction market, rewards for discovering and predicting valuable content
• YAPYO: Attention market infrastructure of the Arbitrum ecosystem

Token gated content access

• Backroom: Creators can launch tokenized spaces to provide curated content.
• Xeet: A new protocol on the Abstract network that integrates Ethos scoring.

Data Insight InfoFi

• Arkham Intel Exchange: On-chain data query and intelligence trading platform

Challenges Faced by InfoFi

prediction market

• Regulatory and compliance pressure
• Insider Trading and Fairness Issues
• Insufficient liquidity and participation
• Oracle design vulnerability

Mouth Licking Type Project

• Information noise intensifies, AI content floods
• The criteria for algorithm evaluation are not transparent.
• Matthew Effect of Income Distribution
• User participation is insufficient for sustainability.

Reputation-based projects

• Invitation system limits user scale
• Malicious Operation Risk
• Cross-platform recognition issues

Future Trends of InfoFi

Prediction Market

• AI-enhanced prediction efficiency
• Deeply integrated with social media
• Applied to decentralized governance
• Develop into a content tool aimed at the public

Mouth Loo and Reputation-based InfoFi

• Introduce social graph and semantic understanding technology
• Incentivize quality long-tail creators
• Design a multi-dimensional contribution assessment mechanism
• Combined with DeFi, used for credit assessment
• Expand to more social platforms

Data Insight InfoFi

• Data analysis and creator insights combined
• Integrate AI analytical capabilities

Conclusion

The core of InfoFi lies in balancing information value and participation incentives, creating a fair and efficient ecology of attention economy. This requires a dual breakthrough in technological innovation and mechanism design to truly achieve the inclusive sharing of attention value. In the future, InfoFi is expected to become an important infrastructure for reshaping knowledge sharing and collective decision-making.