I can't believe it, I've lost so much in short selling these days. I've been spitting blood back and forth, my friends. During this time, I've lost over ten million dollars. The profits I made before have basically all returned. Although I've been bullish during this period, I can't help but occasionally open a short position.
Today, I've been spitting blood back and forth.
Let me introduce you to Mine Network.
Mind Network uses Fully Homomorphic Encryption (FHE) technology to provide revolutionary privacy protection and data processing capabilities for the future development of artificial intelligence (AI). Its potential to reshape the future of AI is mainly reflected in the following aspects:
1. Privacy-preserving AI computation
Core advantage: FHE allows computation directly on encrypted data, enabling AI model training and inference without decryption. This means sensitive data (such as user behavior, medical records, or financial data) remains encrypted throughout the AI processing, significantly reducing the risk of data leaks.
AI application scenarios:
Medical AI: Hospitals can train disease prediction models on encrypted patient data, protecting patient privacy while enabling cross-institution collaboration.
Personalized recommendations: E-commerce or social platforms can generate personalized recommendations based on encrypted data without accessing original user data.
Federated learning: Multiple parties can collaboratively train AI models on encrypted data, avoiding privacy issues caused by data sharing.
2. Breaking data silos and empowering decentralized AI
Data silo problem: Traditional AI relies on large amounts of data, but data is often scattered among different institutions or users and cannot be freely shared due to privacy regulations (such as GDPR).
Mind Network's solution:
Through a decentralized data lake and FHE technology, Mind Network allows data owners to securely share data for AI training while retaining data privacy.
Users can authorize data usage through a decentralized platform, receive token incentives, and ensure that data is not accessed directly.
Reshaping significance: This model promotes the development of decentralized AI, returning data sovereignty to users while accelerating global collaboration and innovation in AI models.
