Nillion Network: Humanity's First Blind Computer
Listen Now
About This Episode
In this episode of DevNTell, Narb hosts the team from Nillion Network. Nillion Network is building the world's first blind computation protocol, an innovation that promises to revolutionize data privacy in the age of AI. By integrating advanced cryptography like Multi-Party Computation (MPC), Fully Homomorphic Encryption (FHE), and Zero-Knowledge Proofs (ZKP), Nillion enables computation on encrypted data without ever revealing the underlying information. This approach addresses the profound trust and privacy issues associated with AI, especially personalized AI which requires access to vast amounts of sensitive user data. The protocol features a modular orchestration layer designed to give developers a range of tools and abstractions to build secure, private applications across various domains, including machine learning, healthcare, and finance.
Key Takeaways
Nillion Network introduces 'blind computation,' which allows for data processing without exposing sensitive information, a critical need as AI becomes more integrated into personal and professional life.
The protocol utilizes a modular architecture called the 'Orchestration Layer,' which integrates multiple Privacy-Enhancing Technologies (PETs) like MPC, FHE, and ZKP to provide flexibility and performance for developers.
The transition from AI supervision to delegation increases the importance of privacy over speed, creating a unique opportunity for privacy-enhancing technologies like Nillion.
Nillion is accessible to developers through Python and JavaScript SDKs, with a range of builder bounties and documentation available to encourage the creation of 'blind apps.'
Nillion addresses the privacy-performance trade-off in cryptography by employing novel techniques like the Discrete Wavelet Transform (DWT) to compress complex mathematical functions and improve efficiency.
Featured Guests
Steph Orpilla
DevRel Lead @ Nillion Network
Miguel de Vega
Co-founder @ Nillion Network
Listen On
Share This Episode
Share on XWatch Episodes Live!
Subscribe to our event calendar and never miss a live episode.
View Event Calendar