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The next AI Agent Golden Country, in-depth analysis of the new paradigm of AI+Game narrative | Bee Network

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The next AI Agent Golden Country, in-depth analysis of the new paradigm of AI+Game narrative | Bee Network Login 热门新闻 备忘录启动板 人工智能代理 德西 TopChainExplorer 给 Newbee 100 倍金币 蜜蜂游戏 重要网站 必备应用程序 加密货币名人 德平 新手必备 陷阱探测器 基本工具 高级网站 交流 NFT 工具 你好、, 签出 Web3 宇宙 游戏 DApp 蜂巢 成长平台 生态 搜索 英语 充值金币 登录 下载 Web3 大学 游戏 DApp 蜂巢 生态 家•分析•正文 The next AI Agent Golden Country, in-depth analysis of the new paradigm of AI+Game narrative分析1 年前 (2025)更新怀亚特 38,5231 24 As early as 1952, AS Douglas developed the first video game OXO Tic-Tac-Toe using AI. It was a rule-driven static AI. Then Deep Blue used the ultra-efficient exhaustive mode + huge computing power to dominate chess. By the time of Alpha Go, AI had learned to use deep learning to make decisions through neural networks, so that it could handle 10 170 kinds of chess games. From a long time ago, the game industry began to use AI to improve development efficiency in all stages from art, development, and game design. At the stage of AI Agent, its impact on games has exceeded efficiency improvement and is enough to change the structure of the entire product and industry.

When game NPCs become versatile and full of emotions At CES 2024, NVIDIA released NVIDIA Kairos ACE in cooperation with Convai, showing AI Agents as NPCs, in which the dialogue between them is no longer fixed but changes depending on the environment, and players can also interact with NPCs directly through voice dialogue. This seems to open a new chapter for the game, when it is no longer a player-to-player or player-to-NPC communication, but communication between NPCs. When the game environment is the living environment of the AI Agent, this makes the possibility of game variables become a completely different order of magnitude.

Compared to the NPCs that live in the game, Cryotos AI Agents seem to have obtained special passes and can travel freely in the multiverse. Perhaps because of the different amount of training data or because they have their own independent asset rights, Crypto AI is born with a touch of humanity. In addition, as a virtual image, they can directly affect the real world, and this impact is huge.

Cryptos convenient asset issuance platform has accelerated the production speed of AI Agents to an unimaginable level. Whether it is Solana or Base, it is like a supply chain factory, with an endless supply. In just a few months, thousands of AI Agents with unique personalities have appeared, and their total market value is close to 10 billion US dollars.

For example, aixbt has a strong personality adaptability. In addition to analyzing the market and expressing his own opinions, he also has great marketing capabilities when his voice is increasing. Some time ago, he changed his avatar to Quantum Cat, becoming the first AI Agent to change NFT as his avatar at his own will, which also caused the floor price of QuantumCat to rise sharply.

The well-known AI idol Luna has taken this influence to the extreme, starting out as a Vtuber on TikTok, releasing albums and shooting MVs, hiring humans to graffiti her image around the world, and live streaming 24 hours a day. Now she has launched her own XR image that can react to reality, and will perform on the same stage with DJ WuKong at Thailands famous electronic music festival EDC.

In addition, there are thousands of different types of AI Agents. After their birth, the market experienced a short period of FOMO. When the number reached a certain level, the market sentiment produced a balance between fatigue and aggressiveness. The concept of SWARM multimodal AI Agent that appeared soon after connected them from points to lines.

Multimodal Crypto AI Agent, a 24/7 non-stop super factory Multimodal AI projects are attracting much attention in the current market, whether it is Hive, which just won the Solana AI Hackathon championship, or arc, Swarm. The concept of multimodal AI has almost run through frameworks and products during this period, and has almost become a standard feature.

The first to show this concept in CryptoAI was Virtuals Protocol. As a team born in a gaming guild, it seems that they had similar business considerations at the beginning of the project. They used GAME to connect AI Agents in their platform to social media or games. The multi-agent asset management recently launched in cooperation with InfinitygAI also laid the foundation for the future multi-scenario agent society (Agent-to-Agent interaction). The same idea also exists in ai16zs ELizaOS multimodal AI Agent architecture. Many of its initial team members came from M3org, which has been deeply involved in metaverse games for many years. Its internal reserves of 3D modeling and various XR/VR plug-ins allow AI Agents to seamlessly enter the game world. ElizaOS V2, which was announced a few days ago, integrates Roblox and Hyperfy, which also allows it to open up the scene channel.

When multiple AI Agents are connected, there will be interaction, communication and collaboration between them, and the natural idea is to have a scenario that can accommodate as many behaviors as possible of the AIs.

Agentic game engine, the golden city in the abyss When the scene of players interacting with static NPCs gradually changes to the interaction of agents in the Agentic Metaverse, the story told by CryptoAI is a broader vision of an agent forming spontaneous social behavior. The premise for agents to learn from experience and interact with players requires a strong Infra to provide basic support. The Agentic Engine is the unsinkable Titanic heading to the New World.

There are indeed mature game architectures of agent society in the market, among which Digimon, which is backed by a16z, is particularly outstanding. Its founder Ethan was once an AI engineer of the PokemonGO team. In the game, players enter the world of Digimon as trainers. This world is similar to the town of Stanford. AIs will communicate with each other, contact and reflect behaviors, and players can join in to train and interact with the Digimon of their choice. Digimons Infra – Digimon Engine, provides a game framework for realizing multi-agent clusters and scalable and evolvable AI Aegnt.

Another case of Agentic Engine is Moddio. Moddio itself has some experience in game production in Web2. As an open source game engine, Moddio has a low threshold for use and allows developers to deploy games for free. In the past three months of transformation to Web3 game engine, Moddios revenue has increased 30 times, and it can provide more than 10 times the speed at half the price.

The game supported by Moddio is Powpow.fun. This game is similar to Westworld, in which the Agent will actively interact with the player, observe, talk, form opinions and realize memories. The core of each Agent is a memory structure, and these memories are extracted from the memory structure in each interaction, thereby realizing the formation of the so-called experience.

This is also the ultimate vision and narrative that Agentic Engine describes to this market, allowing the NPCs or Agents in the game to have complex social behaviors over time. For example, a taxi driver in the game may refuse to pick up a passenger who has drunk alcohol, or suddenly forget the words during an interview due to nervousness.

It is worth noting that Moddio is just the tip of the iceberg. Its founder m0d螢 s vision is to create a full-scale ecosystem for AI games, including the game industrys pump Indie.fun and Agent launch platform Fullmetal. Users use Moddio to make games, raise funds on Indie.fun, and then deploy Agents through Fullmetal, forming a closed loop for the entire ecosystem.

Agentic Metaverse/Game is not far away from us. Agentic Game solves the problems of insufficient number of players and attention economy in the early stage of Web3 games. For the attention economy market of Crypto, Agentic Engine lowers the threshold for game creation. When the attention of players and users is diverted, new games can be developed at a faster speed, and the evolving Agent can be used to provide a gaming experience closer to human society.

CryptoAI鈥檚 reward model allows the multiverse to communicate After the scene layer is built, it is the turn of the surrounding workflows that can actually generate benefits around the scene. The first to bear the brunt is the ML field of games. GamerBoom, as a game data layer incubated by Binance, only puts a layer of film in the original game process of players. Whether you are playing STEAM games, Apex or Dota, you will not feel any changes in operation or display. GamerBoom only collects game feedback and game screens and uses them as data sets. Whether it is Web2 or Web3, as long as there is a demand for game companies, they can buy it. Players can get certain benefits with almost no change in experience. This game version of Grass is Play to Earn in the sense that it will only appear in the Agentic era.

ARC Agent is just the opposite. They have directly created a whole ecosystem to accelerate the process of achieving artificial general intelligence (AGI). They have currently built four sections, which are also the ideal ecology of Agentic Game in the current cycle. They have developed AI models with continuous learning and strong adaptability, data collection and monitoring systems for continuous improvement of AI agents, created a test environment from single to multi-player cooperation, and integrated a variety of high-quality data for reward design and state space experiments. Then, the dynamic rule data of games that can reflect the response of AI trained under the complexity of the real world are actually used in the scenarios of AGI robots, new types of games, and multimodal AI.

The surrounding industries of Agentic games will also develop as a result, and even these industries will be contracted by AI. Recently, Virtuals announced a partnership with Avariksaga to release AI Agent real-time live game broadcast, commentary and narrative functions. Miles, the founder of Zailgo and a member of Trustless, announced that he would be one step ahead of everyone else and take the lead in creating the next generation of live entertainment experience, the war of artificial intelligence robots – Corporealai. He claimed that cooperation with well-known companies in the fields of robots, artificial intelligence and live entertainment will bring a new e-sports model, allowing Agentic AI with militarized robot bodies to compete with each other in the Faraday cage arena. Perhaps in the near future, Iron Fist will really appear around us.

The picture comes from the Internet

Mass Adoption for Agentic Games Has Arrived For Crypto soil, Agentic Games Mass Adoption has taken shape, and the continuously produced AI Agents are continuously producing ammunition. The multimodal framework that connects multiple AI Agents not only enables AI Agents to form functions similar to workflow aggregation, but also allows them to communicate and help each other in games, platforms, and social media. The game engine allows AI Agents to exist in the virtual world in the form of self-will or interact with participating players as NPCs. All of this information can be integrated into high-quality data sets through reward mechanisms to fuel the learning of new games or AI robots. And the extension of each link, and the assets that collude with every link of CryptoAI, have repackaged the GameFi mechanism that was originally unable to continuously create attention with the system of intention economy.

According to Messaris research report, the market share of AI narratives in this cycle is far from what was expected compared to the popular narratives in previous cycles, which means that the complete narrative process has not yet been run through. In this cycle, computing power is property, and data is power. Unlike previous cycles, the current era of CryptoAI narratives may have a market volume far exceeding that of previous narratives, because it affects not only the 加密currency market, but the entire world. Agentic Game is like a Falcon 9 rocket, which can carry this market to unprecedented heights. At this moment, we are at the intersection of two cross-era fields of significance.

This article is sourced from the internet: The next AI Agent Golden Country, in-depth analysis of the new paradigm of AI+Game narrative

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