X @Bankless

Core Technology & Architecture - NilGPT utilizes Nillion's privacy tools to secure data throughout its lifecycle, offering a private AI alternative for handling sensitive data [6] - NilGPT integrates three Nillion components: nilCC (Nillion Confidential Compute), nilAI (Nillion Artificial Intelligence), and nilDB [4] - User data is encrypted locally, split via secret-sharing, and stored across independent nilDB nodes using Multi-Party Computation (MPC), ensuring data remains inaccessible without the passphrase [2][5] - nilAI processes queries in Trusted Execution Environments (TEEs) using the Llama-3.1-8B-Instruct model via a RESTful API, keeping data hidden [5] Privacy & Security Features - NilGPT's design hinges on breach-resistant architecture, confidential computation, and verifiable guarantees [2][3] - Trusted Execution Environments (TEEs) and cryptographic primitives protect queries, responses, and chat history, isolating data from server owners [3][4][5] - Planned open-source code, TEE attestations, and provable cryptography will allow users to verify security [3] Market Positioning & User Experience - NilGPT offers a familiar chatbot interface with email or wallet-based account creation for private, cross-device chat history [4] - NilGPT aims to provide zero UX compromises with three agent modes: wellness assistant, personal assistant, companion [4] - NilGPT demands less trust than current AI privacy options, though some features like verifications are upcoming [6]