🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
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3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
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InfoFi New Paradigm: 7 Major Models and Future Trends of AI-Driven Attention Economy
In-depth Analysis of the InfoFi Ecosystem: A New Paradigm of Attention Market Empowered by AI
In the era of information explosion, human attention has become the most scarce resource. InfoFi, as an emerging concept in the Web3 space, aims to transform hard-to-quantify information into tradable value carriers through blockchain, token incentives, and AI technology, reshaping the distribution mechanism of the attention economy.
The core advantages of InfoFi include: value redistribution, information value realization, low barrier to participation, innovative incentive mechanisms, and cross-domain application potential. Currently, InfoFi mainly covers the following categories:
Prediction Markets: Such as Polymarket and Kalshi, predicting future events through collective intelligence.
Mouth Lick Type InfoFi: Such as Kaito AI, Cookie.fun, etc., rewards users for publishing high-quality content.
Comprehensive InfoFi: such as Galxe Starboard, combining content contributions and on-chain behavior.
Reputation-based InfoFi: such as Ethos, building an on-chain reputation system.
Attention Market: Projects like Noise allow for long and short positions on attention.
Token Gate Content: Such as Backroom, filtering noise to provide curated content.
Data Insight: Such as Arkham Intel Exchange, providing on-chain data intelligence trading.
However, InfoFi also faces many challenges:
The regulatory pressures, insider trading risks, and issues of insufficient liquidity in prediction markets need to be addressed urgently.
The mouth-lifting project faces dilemmas such as intensified information noise, doubts about algorithm fairness, and uneven profit distribution.
The closed nature of the reputation system and the risk of manipulation also need to be overcome.
The future development trends of InfoFi include:
The revolution of InfoFi requires a joint effort in technological innovation and mechanism design to truly achieve a fair and efficient attention economy, avoiding becoming a gold rush game for a few. Balancing information value, user participation, and value distribution will be key to the future development of InfoFi.