#AppleCryptoUpdate

If you’re a Web3 developer or an LLM user seeking a truly privacy-first, censorship-resistant AI solution, BitSeek is the answer.

A Modular Approach to Decentralized AI

Most AI models today operate within centralized systems that collect and monetize user data. BitSeek disrupts this model with its Decentralized Large Language Model (DeLLM) infrastructure. Instead of housing AI models on a single server, BitSeek atomizes open source LLMs and distributes them across a network of nodes, ensuring no entity, BitSeek included, has full control over the system, model, or user information. This architecture also unlocks opportunities for Web3 projects to build AI dApps natively on decentralized infrastructure, rather than relying on a centralized backend.

This approach allows users to access AI services without relying on a central authority. By atomizing AI models, BitSeek enhances scalability, security, and resilience—eliminating bottlenecks and reducing the risk of data exploitation. Users can even contribute by offering GPU power or data, all without the risk of centralized control.

Beyond privacy, this architecture future-proofs AI. As models grow in complexity, traditional centralized systems struggle with inefficiencies and security risks. BitSeek’s decentralized network sidesteps these issues, enabling continuous expansion and uninterrupted service.

BitSeek leverages several leading open-source models, including DeepSeek R1 and Llama 3, and is designed to integrate other open source models such as Qwen, and OpenAI’s open-weight model when available.

This flexibility ensures that BitSeek evolves with the AI landscape while remaining decentralized.