iAgent Protocol Introduces a Revolutionary AI Agent Trained by Humans from Visual Data By Chainwire


Los Angeles, CA, August 14, 2024, Chainwire

The iAgent Protocol unveiled a groundbreaking AI agent as a digital asset class at Malaysia Blockchain Week in Kuala Lumpur and the Asia Blockchain Summit in Taiwan this month, allowing gamers around the world to create, train, trade, and monetize custom gaming AI agents that take NPCs of the past to a whole new level. The iAgent Protocol has developed the world’s first AI agent trained from gameplay footage of professional players in Counter-Strike. This new AI asset class has the potential to drive a renaissance of innovation and growth within the gaming industry.

At both MBW and ABS, attendees were able to get their first look at the revolutionary new class of digital gaming assets. iAgent Protocol showcased a new technology on August 1 and 6, which uses AI modules to train gaming characters based on video footage from Flaxciz, a professional CS player from Team Secret.

iAgents are here to not only revamp the gaming world’s outdated NPCs, but also to empower all players within the ecosystem. Any user can train an AI agent with gameplay footage and then trade, rent, and monetize their personal gaming agents. Whether you’re a casual gamer playing with friends or an entire studio looking to add world-class, human-trained AI characters to your game, iAgent offers new solutions and possibilities.

In collaboration with Alliance, a global esports powerhouse competing at the forefront of the world’s most popular games, and Team Secret, a professional esports organization, iAgent was able to train a character based on Flaxciz’s gameplay footage.

Jamie Batzorig, CEO of iAgent and keynote speaker, introduced the human-trained iAgent for the first time. The development team worked with AethirCloud, the project building a decentralized and scalable cloud infrastructure for gaming and AI. Powered by DePIN, the iAgent protocol leverages underutilized GPU resources from around the world and transforms them into a distributed GPU network dedicated to training AI agents.

iAgent is backed by GEDA, a web3 esports ecosystem that is onboarding esports enthusiasts, and Emerge Group, a gaming marketing agency that has worked with household names like Valorant, Mobile Legends, and Riot Games.

The iAgent team aims to democratize gaming by creating AI agents as digital assets and giving all players the tools and infrastructure to train their own agents. These human-trained AI agents embody players’ strategies, styles, and creativity, making them a digital representation of their gaming personality.

By creating the world’s first AI agent trained on footage of a professional esports player, iAgent aims to change the landscape and future of gaming. The tools used to create this innovative digital asset and gaming character will soon be available to everyone in the gaming ecosystem. A player only needs gameplay footage to develop their own AI agent. With the first-of-its-kind AI_NFT (OFT) standard, creators will have full ownership over their AI agents running on multiple chains using innovative technology developed by LayerZero Labs.

About iAgent

The iAgent protocol enables gamers around the world to train their own AI agents to mimic player behavior from gameplay footage, powered by DePIN, decentralized computing, thus creating a new class of digital assets on the blockchain.

Users can follow iAgent on X, notifications enabled.

Press contact: [email protected]

Source: iAgent Protocol

Los Angeles, CA

Disclaimer:

This press release may contain forward-looking statements. Forward-looking statements describe future expectations, plans, results or strategies (including product offerings, regulatory plans and business plans) and may change without notice. You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements.

ContactExecutive DirectorJamie BalzorigiAgent Protocol[email protected]

This article was originally published on Chainwire



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