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Fetch.ai, a leader in AI and Web3 integration since 2018, is showcasing its latest advancement in real-time onchain data for autonomous AI agents, building on its mission to automate Web3 workflows. The event features Maria Minaricova, a Fetch.ai executive, and @dizhel from SQD, a platform likely tied to onchain data solutions, highlighting a collaboration to enhance AI-driven automation in decentralized systems. This discussion aligns with Fetch.ai’s broader ecosystem efforts, including recent hackathons like the one at Imperial College London in November 2024, aimed at fostering AI-Web3 innovation.

Fetch.ai’s ASI-1 Mini, part of the Cortex collection, integrates Web3 to let users train AI models, a shift from centralized AI development, as noted in their recent updates.The Artificial Superintelligence Alliance, formed by Fetch.ai, SingularityNET, and Ocean Protocol in July 2024, merged their tokens into $FET, aiming for a decentralized AI ecosystem.Humayun Sheikh, Fetch.ai’s CEO and founder, is a key figure in AI innovation, having invested early in DeepMind and now driving Fetch.ai’s vision for an AI-powered economy.

Fetch.ai, a platform for building AI apps, is set to implement AI agent-to-agent-to-human payments next week, as announced by CEO Humayun Sheikh, marking a step toward autonomous AI economies where agents can independently handle transactions.This development aligns with Fetch.ai’s vision of integrating AI with blockchain, building on their past innovations like the Deep Parking algorithms showcased in 2021, which used AI agents to analyze real-time data for parking solutions.The payment system could leverage solutions like Payman AI, which provides financial infrastructure for AI agents with human oversight, ensuring secure transactions while addressing risks of fully autonomous AI handling funds.

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