How to Build User-Owned AI with Blockchain

TL;DR

User-owned AI can be achieved through decentralized blockchain technology, ensuring privacy and autonomy. Near Protocol leverages proof-of-stake consensus for security and Nvidia's confidential computing for privacy. The system allows for decentralized model training, private data usage, and autonomous agents operating via smart contracts, paving the way for AI to interact securely and independently in various applications.

Transcript

Hello and welcome back to the cognitive revolution. Today my guest is Ilia Polosuhin, founder of Near, a hyper ambitious, multifaceted project that describes itself as the blockchain for AI and aims to build a future where AI belongs to everyone. Ilia is not your average blockchain founder. Before starting near, he was one of eight co-authors of th... Read More

Key Insights

• Near Protocol evolved from an AI project focused on teaching machines to code to a blockchain platform, now combining both technologies.
• Near Protocol has achieved 50 million monthly active users, demonstrating substantial adoption.
• Near has developed autonomous AI agents that can operate independently once deployed, including an example of an agent given $10,000 to trade based on Twitter sentiment.
• The platform combines decentralized compute for running AI with smart contracts that execute actions, creating truly autonomous systems.
• Near is experimenting with 'AI senators' that people can vote for, which then make governance decisions, potentially solving the principal-agent problem in representation.
• Near is creating infrastructure for jurisdictions and courts to enforce rules on AI agents, essentially putting governance into AI.
• The system utilizes Nvidia's confidential computing to ensure privacy and verifiability with minimal overhead.
• Decentralized model training allows contributors to provide compute or data in exchange for a share of the model's future revenue.

Questions & Answers

Q: How does Near Protocol ensure privacy in AI operations?

Near Protocol ensures privacy by leveraging Nvidia's confidential computing capabilities, which allow AI operations to be conducted in a secure enclave. This means that both the model weights and user data remain private, even from hardware operators, with only a 1-5% overhead compared to normal computing.

Q: What is the role of blockchain in Near Protocol's AI framework?

Blockchain in Near Protocol provides a decentralized, secure foundation for AI operations. It uses a proof-of-stake consensus mechanism to ensure network security and enables user-owned AI by facilitating private, verifiable, and autonomous interactions through smart contracts.

Q: How does Near Protocol handle model training and data privacy?

Near Protocol allows for decentralized model training where contributors can provide compute or data in exchange for a share of the model's future revenue. Privacy is maintained as data can be used without being exposed, leveraging secure computing environments to ensure confidentiality and verifiability.

Q: What are autonomous AI agents in Near Protocol?

Autonomous AI agents in Near Protocol are systems that operate independently via smart contracts. These agents can execute tasks and make decisions without centralized control, leveraging the decentralized infrastructure to interact with other agents and systems securely and autonomously.

Q: How does Near Protocol integrate AI into governance?

Near Protocol experiments with AI in governance through 'AI senators,' which are AI systems that people can vote for to make governance decisions. This aims to solve the principal-agent problem by ensuring that AI representatives act in accordance with the voters' intentions, using transparent and verifiable processes.

Q: What is the significance of Near Protocol's proof-of-stake consensus?

Near Protocol's proof-of-stake consensus ensures network security by allowing anyone willing to put value at risk to become a validator. This open and permissionless system prevents centralized control and ensures that valid transactions flow without obstruction, maintaining the integrity of the blockchain.

Q: How does Near Protocol's infrastructure support AI-Blockchain synergy?

Near Protocol's infrastructure supports AI-Blockchain synergy by combining decentralized compute with smart contracts. This enables AI systems to operate autonomously, securely, and privately, facilitating interactions and transactions that are verifiable and free from centralized control.

Q: What future applications does Near Protocol envision for AI and blockchain?

Near Protocol envisions a future where AI and blockchain technologies enable user-owned AI, autonomous agents, and decentralized governance. Applications include private data processing, secure AI interactions, and AI-driven decision-making in governance, all supported by a robust, decentralized infrastructure.

Summary & Key Takeaways

• Near Protocol transitioned from an AI project to a blockchain platform, aiming to create user-owned AI through decentralized infrastructure. It combines proof-of-stake consensus for security and Nvidia's confidential computing for privacy, enabling private data usage and autonomous agents via smart contracts.

• The platform supports decentralized model training, allowing contributors to provide compute or data for a share of future revenue. Near also explores AI in governance with 'AI senators' and jurisdictional frameworks to enforce rules on AI agents.

• Near's approach to AI and blockchain integration includes autonomous agents that can operate independently, showcasing the potential for AI to interact securely and autonomously in various applications while maintaining user privacy and control.