AI agents are popular, inventory 12 Web3 games driven by AI

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Abstract generation in progress

Original Author: Conglomerate | thecoreloop

Original translation: Deep Tide TechFlow

AI is currently a hot topic in the encryption field, but its integration with Web3 games is still in its early stages. After hours of research, I have discovered areas that could potentially generate real value. Here are my main findings.

Theme Overview

A Brief History of AI and Games

How Web2 game companies currently utilize AI

The next chapter of AI games: From Web2 to Web3

AI and Web3 Game Projects

Key Trends of AI and Web3 Games

A Brief History of AI and Gaming

Games have always been an ideal testing ground for artificial intelligence. Its unique responsiveness, constantly changing objectives, and real-time environment make it an ideal environment for advancing AI technology. Early AI development faced significant obstacles, requiring pre-set rules or simplified environments to operate. However, these limitations have given rise to creative solutions, and games have become the perfect stage for progress.

2015 was a pivotal moment: an AI agent mastered 49 Atari games solely through pixels and scores, achieving performance at the level of professional humans. This breakthrough proved that AI can learn naturally in complex environments, laying the foundation for today's AI revolution.

From arcade AI to autonomous agents: games have evolved from simple computer opponents to self-learning characters owned by players in the Web3 era.

How Web2 game companies currently use AI

Building on these foundations, leading gaming companies are implementing AI technology in innovative ways.

Roblox (announced in February 2023): By integrating generative AI, it has revolutionized user-generated content (UGC) in games, helping 58.8 million daily active users create 3D models and code through simple prompts.

Sony AI (announced in November 2019): Focuses on fundamental AI research to enhance Sony's gaming business.

King (active since 2017): Pioneered the use of AI in game development through the AI Lab, especially using game testing robots, reducing manual level adjustments in Candy Crush Saga by 95% and increasing development speed by 50%.

The next chapter of AI games: from Web2 to Web3

AI has already demonstrated its transformative value in games, reshaping the construction, gameplay, and experience of games. While Web2 giants continue to innovate, the encryption gaming field remains underdeveloped, providing enticing opportunities for AI-driven advancement.

In the following sections, we will explore some pioneering projects that are leading this transformation, combining AI and Web3 to redefine the future of gaming.

AI and Web3 Game Projects

AI Arena //@aiarena_//$NRN

By imitating learning, players train AI-driven Non-fungible Token warriors, and use the AI Inspector tool to analyze and improve character performance, preparing for automated PvP battles.

Read: How AI Arena Balances the Competitive Environment

AI Waifu //@aiwaifugg//$WAI

Fantasy character platform with AI support for personalized conversation, manga generation, and voice interaction, covering hundreds of characters and scenes created by the community.

Read: AI Waifu: Replacing OnlyFans

Avarik Saga //@avariksaga//$AVRK

Mobile RPG game, where AI-driven demigods interact with players in-game and through conversations powered by a large language model in popular messaging applications.

Reading: How does bloodline linking work

Colony //@ParallelColony//$PRIME

AI-driven strategic survival simulation game, AI agents called "avatars", constantly learning from the surrounding environment.

Read: 'Parallel' Creator Explains 'Colony' AI Game

Delysium //@The_Delysium//$AGI

It started as a Battle Royale MMORPG with AI virtual creatures; now on the YKILY network, Lucy, an AI-driven Web3 operating system, is being built.

Read: The future of AI agents is Decentralization: Delysium collaborates with Microsoft to promote the mainstreaming of on-chain AI

Gabby World //@gabby_world_//$GABBY

This is the first completely autonomous AI world, where all elements - from characters to storylines - are generated on-chain through prompts created by users.

Read: Reintroducing Gabby World: The First AIGC Autonomous World

GameGPT //@Gamegptofficial//$DUEL

Provided an AI-driven game builder, empowering creators for fast, collaborative game development, democratizing the creation process and unlocking immersive experiences at unprecedented speed.

Read: GameGPT, PAAL, and the New Era of AI-driven Gaming

Genopets //@genopet//$GENE

This is a 'move to earn' game, every step provides energy for the AI-driven digital pet, converting physical activity into game progress and valuable AI training data.

Watch: Generalization: Release of Game AI

henlo kart //@henlokart// n/a

The hamster racing mini-game developed by the Onchain General Intelligence (OGI) network is a Decentralization platform that supports the creation, training, and deployment of open and Decentralization AI agents.

Read: henlo kart x onchain gaias

Oasis //@Etched// n/a

The first game world completely generated by AI, where players can explore, build and destroy endless varieties of procedural environments, powered by advanced AI rendering technology.

Read: Oasis: The first playable AI-generated game

onchain gaias //@onchaingaias// n/a

The General Artificial Intelligence Agents (GAIAs) introduces Decentralization and player-trained AI agents into games, allowing users to shape, train, and benefit from the agents in a community-driven ecosystem.

Today//@todaythegame// n/a

A social simulation game, AI-driven island residents create unique personalized interactions and drive the virtual economy owned by players.

Reading: AI is reshaping the game

Note: This overview is based on current research and only represents selected AI and Web3 gaming projects, and is not comprehensive. The information provided is for educational purposes only and should not be considered financial advice.

Conclusion

AI and Web3 are fundamentally reshaping the game landscape, bringing personalized experiences to players and enabling them to actively shape the virtual world. We are moving beyond basic AI capabilities and entering a fully autonomous environment, where each player's decisions will have an impact, transforming players from passive consumers to empowered participants.

Projects like AI Waifu and Today are not just entertainment platforms; they are evolving into social ecosystems, where AI-driven characters create deep personal connections and drive the economy owned by players. The integration of AI training through games, as seen in Genopets and AI Arena, further emphasizes this shift towards player-centered value creation.

Perhaps the most important thing is that the combination of AI and Web3 technology makes game development more convenient than ever before. Projects like GameGPT and Oasis demonstrate how AI tools can break through traditional creative barriers, allowing anyone to participate in building these new virtual worlds. This transformation, coupled with the rise of autonomous AI agents and players owning data, indicates that we are witnessing the early stages of a game revolution, where the boundaries between players, creators, and AI blur, forming a unified and dynamic ecosystem.

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