Web3 is one of the most debated topics in the tech world today. The controversy stems from skepticism about its mainstream implementation and practical utility. However, it's crucial to recognize that Web3 is designed to work in conjunction with enabling technologies to achieve true decentralization, open-sourcing, incentivization, privacy, and user-centricity.

Contrary to the controversies, Web3 has found practical applications recently. One notable example is the convergence of Artificial Intelligence (AI), Machine Learning (ML), and Web3, leading to the creation of intelligent software and on-chain infrastructure. Machine Learning is key to advancing AI-based Web3 infrastructure and can disrupt centralized AI-based solutions by building on Web3 platforms.

Several software products have emerged from the convergence of AI, ML, and Web3, acting as catalysts for a functional Web3 ecosystem. Let's explore some of them:

AI Models

AI models are machine learning software trained across various fields using nodes. These nodes contain data segments from different knowledge areas. AI Models use Zero Knowledge Machine Learning (ZK-ML) to verify data and their sources without revealing the actual data. These models can be integrated into Web3 platforms to ensure open-source data gathering and data privacy simultaneously.

AI Agents

AI Agents might be a new concept for some. These automated software programs perform tasks on behalf of humans. AI Agents use Machine Learning to interact autonomously with other agents on Web3 platforms, eliminating the need for centralized platforms.

For instance, Spectral, a blockchain project, utilizes what it calls Infer-chain to facilitate agent-to-agent communication, allowing AI applications to function on the Web3 platform without human intervention. On Spectral, AI Agents can perform various technical tasks for users, including building customized web apps, deploying customized smart contracts, creating and launching memecoins, and writing code using natural language processing.

This means users can give instructions to AI Agents in plain English, and the AI Agents will convert these instructions into computer language.

These software programs are highly powerful, intelligent, and intuitive. Machine Learning is the game changer in the convergence of AI, ML, and Web3, enabling autonomous interaction between AI and Web3 platforms while ensuring decentralization and privacy.