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Nillion
Humanity's first blind computer.
The internet’s base layer for all private data.
We're really excited to welcome John as our new CTO at the Nillion Association.
Private compute isn't just a vision, its becoming a reality.
With John leading core tech, developer experience, and productisation, together we're going to unlock a new era for privacy preserving infrastructure.
Welcome @JohnAlanWoods!
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Fact Friday – @nillionnetwork
Nillion is a decentralized network focused on secure data storage and processing through blind computation.
Below are key updates and facts about its recent developments:
Blind Computation Framework: Nillion uses Multi-Party Computation (MPC) and Trusted Execution Environments (TEEs) to process encrypted data without decryption, enabling privacy-preserving applications in fields like healthcare and finance. Its goal is to create a system where data remains secure during storage and computation.
Phase 0 Milestones: The Phase 0 launch improved Nillion’s core components - nilDB (encrypted database), nilAI (private AI inference), and nilVM (virtual machine for developers). These upgrades enhance performance for secure data handling and application development.
Data and Inference Scale: As of today, nilDB stores over 750 million encrypted secrets, and nilAI has processed 1.2 million inference calls, supporting secure data retrieval for private AI computations.
New Applications:
nilGPT: A personal chatbot that keeps all your conversation private!
Tickr: A marketplace for trusted crypto trading insights.
LouisAI: A private notetaker that summarizes voice notes and calls.
Additional context: Nillion's Private Vault distributes encrypted data across nodes, reducing the risk of single-point breaches.
Nillion’s infrastructure aims to support decentralized AI and data applications with a focus on privacy and security.#FactFriday #Nillion #BlindComputation #Privacy #AI #Web3

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Quick thoughts about how we can solve dispute resolution for prediction markets, I built a small demo showing how we can leverage nilAI to make this more fair while maintaining a strong level of trust anyone can verify.
I'm including a very basic architecture of how this work in below
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