Mercle

**Mercle introduces exclusive human verification feature** The identity verification app has launched a new capability designed specifically for human users, requiring an invite to access. **Key details:** - Feature restricted to verified humans only - Invite-only access currently available - App focuses on combating digital noise with truth verification Users can download the app on both platforms: - [iOS App Store](https://apps.apple.com/in/app/mercle/id6751991316) - [Google Play Store](https://play.google.com/store/apps/details?id=com.mercle.app) The timing suggests Mercle is positioning itself as a solution for authentic human interaction in an increasingly AI-dominated digital landscape.

**Bot infiltration threatens Web3 authenticity** as automated accounts create fake activity and manipulate reward systems across the ecosystem. The problem extends beyond Web3: - Social platforms flooded with bot accounts - AI-generated fake stores stealing real money - Dating apps swarmed with fake profiles - Gaming bots manipulating competitive environments **AI advancement outpaces human verification** - bots are now cheap, infinitely scalable, while humans remain limited. **The core issue**: Without portable, privacy-respecting proof of human identity, distinguishing real users from bots becomes nearly impossible. **Why this matters**: As AI capabilities surge, the absence of reliable human verification creates systemic risks across all digital interactions. The solution lies in developing robust identity verification systems that can prove unique human participation without compromising privacy.

A new AI-powered trading system called Unfair has demonstrated notable performance in cryptocurrency markets. The platform, developed by Mercle, appears to be leveraging artificial intelligence to understand and navigate trading patterns. - The system claims to identify market inefficiencies - Currently in testing phase - Available for preview at [unfair.mercle.ai](https://unfair.mercle.ai) *Note: As with all trading systems, past performance does not guarantee future results. Users should conduct their own research.*