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Michael Saylor is the co-founder and former CEO of MicroStrategy, known for his strong support of Bitcoin. As of 2023, MicroStrategy has accumulated over 150,000 Bitcoins (currently valued at approximately $9 billion), making it one of the publicly traded companies with the largest Bitcoin holdings in the world. Saylor believes Bitcoin is 'digital gold' that can hedge against fiat currency devaluation and inflation risk. MicroStrategy views Bitcoin as a core reserve asset, replacing traditional cash. If he suggests increasing holdings, it may be based on expectations of halving cycles, regulatory easing, or growing institutional demand, which are key points in his attitude towards Bitcoin. #MichaelSaylor暗示增持BTC
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The Core Breakthrough of FHE: Free Computation on Encrypted Data
FHE allows direct computation on encrypted data (such as addition, multiplication, neural network inference) without decryption. This feature addresses two major pain points of traditional AI:
Data Privacy Paradox: Sensitive data in fields like healthcare and finance cannot be directly used for model training due to compliance requirements, leading to limitations in AI development.
Centralized Risk: User data must be uploaded to the cloud or third-party platforms, posing risks of leakage and misuse.
The innovation of MindNetwork may lie in building a decentralized FHE computation network, processing encrypted data through collaborative distributed nodes, further reducing single point risks.
Future Outlook: AI New Paradigm Driven by FHE
Short-term (1-3 years): Vertical fields such as financial risk control and medical image analysis will be the first to implement, with the emergence of FHE acceleration chips.
Mid-term (5 years): Integration with Zero-Knowledge Proofs (ZKP) and Secure Multi-Party Computation (MPC) to form a hybrid privacy computing protocol.
Long-term (10 years): FHE becomes the default option for AI infrastructure, promoting the arrival of the 'Privacy-Native' AI era.
#MindNetwork Homomorphic Encryption FHE Reshaping the Future of AI @mindnetwork_xyz
FHE allows direct computation on encrypted data (such as addition, multiplication, neural network inference) without decryption. This feature addresses two major pain points of traditional AI:
Data Privacy Paradox: Sensitive data in fields like healthcare and finance cannot be directly used for model training due to compliance requirements, leading to limitations in AI development.
Centralized Risk: User data must be uploaded to the cloud or third-party platforms, posing risks of leakage and misuse.
The innovation of MindNetwork may lie in building a decentralized FHE computation network, processing encrypted data through collaborative distributed nodes, further reducing single point risks.
Future Outlook: AI New Paradigm Driven by FHE
Short-term (1-3 years): Vertical fields such as financial risk control and medical image analysis will be the first to implement, with the emergence of FHE acceleration chips.
Mid-term (5 years): Integration with Zero-Knowledge Proofs (ZKP) and Secure Multi-Party Computation (MPC) to form a hybrid privacy computing protocol.
Long-term (10 years): FHE becomes the default option for AI infrastructure, promoting the arrival of the 'Privacy-Native' AI era.
#MindNetwork Homomorphic Encryption FHE Reshaping the Future of AI @mindnetwork_xyz
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链上急报
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$SHIB 13 hours ago, the address 0xAD74***6CBeE2 withdrew 49.2 billion PEPE from Binance exchange, with a total value of approximately 3.74 million USD.
In addition, the associated address 0xBf93***d38eA withdrew a total of 61.2296 billion SHIB from Binance exchange in multiple transactions between January 1, 2025, and February 3, 2025, with a total purchase value of 11.04 million USD. Currently, the total value of this batch of SHIB is approximately 7.57 million USD, with an unrealized loss of about 3.47 million USD.
In addition, the associated address 0xBf93***d38eA withdrew a total of 61.2296 billion SHIB from Binance exchange in multiple transactions between January 1, 2025, and February 3, 2025, with a total purchase value of 11.04 million USD. Currently, the total value of this batch of SHIB is approximately 7.57 million USD, with an unrealized loss of about 3.47 million USD.
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