
Author: Sitesh Kumar Sahoo, Gabe Tramy.
introduce
Each cryptocurrency cycle will bring new lessons to teach us how to attract transaction volume, create income, and attract users.Whether it is ICO, DEFI or NFT, there is always a decisive market theme to promote the user activity on the chain to become a cultural phenomenon.In 2020 and 2021, NFT attracted the attention of mainstream media, which led to users’ weekly trading and trading NFT, creating considerable transaction volume and income for relevant agreements.Although the NFT trading activities have decreased, the core fundamentals and mechanisms of that era still resonate.
Similarly, since the summer of DEFI, the encrypted ecosystem has matured, and what mechanisms we are learning are effective and invalid.Therefore, we now have more flexible protocols and verified future mechanisms.In the past, trends (or “Yuan”), such as the Food Coin dollar or anime NFT during the summer period of DEFI, promoted significant transaction volume and user participation.These temporary themes have attracted users through excitement and novelty, but also help to shape the long -term development of the ecosystem.
At present, two themes have attracted widespread attention: Memecoin and artificial intelligence.Although some people try to combine these themes, the success rate is very low, mainly because many artificial intelligence concepts are still developing, and it is expected to be developed in the next few years, rather than immediately put into use.
In addition, the demand for consumer -side applications in the encryption field is increasing, not infrastructure.Applications obviously promote the transaction volume and user participation on the chain, and infrastructure is still crucial to the stability of protocols and applications.However, at the current cycle stage, infrastructure dominates financing rounds, which may lead to dull ecosystems. In addition to the mining incentives of the blockchain, there are fewer activities participating in users.
Tokens as a focus market
If you go online, you are likely to encounter Memecoin such as Doge or PEPE.These tokens successfully broke the traditional encrypted ecosystem model and entered the mainstream media.For example, Elon Musk has renamed Twitter’s website to DOGE token logo.
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Although digital assets are usually regarded as speculative tools, they are also a form of attentive currency.As more and more people discuss, participate, and participate in top -level trends, attention is the main driving factor of price and demand, so as to make it richer and richer.In today’s economy, attention itself is a precious product.
The power to promote value should not be underestimated.Digital assets are increasingly becoming a currency.As Multicoin Capital’s “attention theory” said, “the main investment of asset pricing is not a multi -factor model around risk premium or cash flow, but the time, energy and money invested by the asset community for the asset.” This concept is this concept. “Undested the traditional asset valuation, indicating that for digital assets,Collective attention and participationIt is the real driving force of value.Doge or PEPE and other models of molds usually reflect this dynamics because their popularity and price are directly related to their attractive attention.This change in asset pricing shows that attention has become one of the most powerful economic power in the digital world.
Memecoin can be considered a tokens that contain culture and attention, regardless of whether this concern is from a cultural significance, phenomenon or ideas.Their value comes from the participation of collective culture and the willingness of community participation and attention to the current trend or narrative.
Li Jin, a Variant venture capital partner, said that Memecoin can be understood as a financial fan novel. Community members produced new tokens binded with existing applications or communities, and at the same time obtained and creative valueCreate on the basis of narrative.These digital assets are not only speculative tools, but also help to solve modern challenges such as boring and loneliness.By providing entertainment and community participation, Memecoin allows users to establish contact, investment culture, and find a sense of belonging in the digital world.In this way, the value provided by Memecoin exceeds financial income and creates a vibrant ecosystem that combines digital ownership and social interaction.
Implement the surge in Memecoin through Pump Fun
In early 2024, Pumpfun became the launching platform of Memecoin, mainly focusing on Solana and supporting other chains.So far, more than 2.27 million tokens have been established on the platform.Thanks to its code -free token startup tool, Pumpfun allows anyone to start the tokens within a few seconds without the need for developers’ experience.This accessibility has caused millions of Memecoin on the Solana chain -most of them are not practical, while others are tokens in a wider ecosystem or cultural context.
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Pump adopts a combined curve mechanism to act as a decentralized exchange (DEX).The combined curve is a pricing model that determines the token cost based on the supply.As the number of tokens purchased increases, prices will rise along the predetermined curve, usually indexes or multi -ititable functions.This mechanism ensures that early participants can purchase tokens at a lower price, and later participants have gradually paid a higher price with the growth of demand.The combined curve model created incentives for early use and helps to establish a clear relationship between token supply and price.This mechanism is very effective for rewarding early firm holders; however, this may also be a disadvantage, because early users may become large households because of early distribution.
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Most token (less than 2%in some cases) actually graduated from Pump.fun, and many of them failed to attract early users.This leads to criticism of Pump because anyone can issue tokens, resulting in a low overall quality of token in the market.However, this also creates opportunities for smart users, allowing them to find “unprecedented diamonds”, or use information about developers, wallets, funds, or internal details to identify the best tokens.Users are attracted by platforms like Memecoin and Pump because they may get huge returns -100 times returns, rather than a typical 20% moderate income in traditional finance.Due to these high expectations and motivations, PUMP can charge higher drop -down fees.By charging 1% transaction fee, Pump has created more than $ 120 million in revenue since the beginning of this year, and this year has not yet ended.
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The network effect of a successful launch board also plays a vital role.Once the user experiences success or see others on the platform, they are more likely to use the platform again, thereby forming a self -reinforcement cycle of liquidity and participation -this is the ultimate driving force.Although there are other launch platforms that provide similar products on Solana, because Pump.fun concentrates liquidity and user base, and can guide the transaction volume to Solana, no other platform can get the same attention.In just one year, Pumpfun has generated huge trading volume, which has a chain effect on the entire ecosystem, such as creating revenue for new projects, increasing the liquidity of emerging tokens, and promoting innovation in the DEFI field.This creates a dynamic ecosystem that supports extensive use cases and expands Solana’s chain activities.
The Pumpfun mode changed the game rules of the Solana ecosystem.A protocols like Metaplex, Jito and Jupiter are seeing a large number of ordinary users poured into the token trading field.This continuous activity has brought huge benefits to the entire ecosystem -it increases its liquidity, accelerates token circulation, and truly promotes the activities and income growth of these platforms.The large amount of transaction volume and income accumulated by these platforms prove the popularity of this mechanism, showing the strong user needs and dynamic and growing markets.In addition, this dynamic creates a positive feedback cycle. The increase in user participation increases liquidity, and liquidity will attract new projects and trading opportunities to enter the Solana ecosystem.
Understand artificial intelligence agent
Artificial intelligence agents represent a major leap in artificial intelligence, from passive systems toActive decision -making entityEssenceArtificial intelligence agency is essentially software program, which aims to use the least human intervention to perceive the environment, make decisions, and take action to achieve specific goals.
Unlike the traditional AI applications (such as ChatGPT) that the main response to the user input, the AI agent also has the “reading” and “writing” functions at the same time.This means that they can not only process and analyze information, but also interact with the environment, and initiate operations based on their analysis and decision -making process.They can be regarded as smart digital assistants with decision -making ability.They not only respond to simple orders; they also actively strive to achieve their goals, learn from experience, and adjust their behavior in the process.
These AI agents have some key attributes.They operate independently and make decisions without manual supervision.These agents are born with adaptability and can learn and improve from each interaction through machine learning.These agents are inherently purposeful and pursue scheduled targets in an orderly manner.They work strategically towards specific goals, while maintaining their understanding of the surrounding environment, explaining and adapting to changes in the digital or physical environment.
The versatility and adaptability of artificial intelligence proxy makes it particularly suitable for games and entertainment.These areas provide a rich and dynamic environment. Artificial intelligence agents can give full play to their potential, and have unprecedented ways to improve their user experience.
In the field of games and entertainment, these functions are transformed into several different types of artificial intelligence agents. Each agent plays a unique role and enhances the user experience in different ways.
Let us explore the main categories of artificial intelligence agents that reshape the interactive media pattern:
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Non -player role (NPC):
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Virtual partner:
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AI generation content (AGC):
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Decentralization creation:Virtuals enables the contributor community to cooperate to develop AI agents.This open method encourages innovation and diversity in agency creation.
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Multi -mode function:The AI agent on the platform aims to operate across text, voice and vision, so as to achieve rich and immersive interaction.
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Economy based on tokens:The agreement uses its native $ Virtual tokens to motivate contributions and promote transactions in the ecosystem.
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Casting:Create 1 billion $ Chef tokens.
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The first agent distribution (IAO):Add these tokens to the liquidity pool and match with the $ Virtual tokens.
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Public participation:Users can buy $ Chef tokens and become the common owner of the AI.
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Governance:$ Chef holders may vote to decide the focusing field of Chefgpt, such as vegetarian dishes or molecular dishes.
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Income generation:With the popularity of CHEFGPT, it can generate revenue through high -end recipe subscriptions, VR platform cooking class integration or cooperation with kitchenware brands.
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Value value -added:Part of the income is used to repurchase and destroy the $ Chef token, which may increase the value of the token holders.
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Long -term memory processor:The subsystem management knowledge diagram and memory embedded data structure.It enables agents to maintain contextual perception on multiple sessions and platforms.For example, if users discuss their preferences for science fiction with AI in chat applications, this information will be available when the same user interacts with AI in the game recommendation system.
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Parallel treatment:A concurrent management component allows AI to handle multiple interactions and tasks at the same time.This is essential for real -time response to many users when interacting with many users across multiple platforms.
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Status AI Runner (SAR):These are dedicated servers, which are used to host the core function of AI proxy -personality, sound and visual effects.SAR includes a Sequencer, which is used to coordinate various AI models (such as LLM, text transition voice, audio face -to -face, etc.) to create a cohesive multi -mode AI experience.
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Coordinator:This component acts as the central monitoring system, and the incident on the monitoring chain and under the chain to trigger real -time AI models and configuration adjustments.For example, if a governance decision is made through blockchain voting to change the AI agent, the coordinator will ensure that this change is implemented in all instances of the agent.
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Model storage and long -term memory:These components work together to store and manage AI models and historical data securely.The decentralization of this storage ensures high availability and redundancy, which is essential for maintaining uninterrupted services on multiple platforms.
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Modular state AI Runner (AR):These are SAR’s containerization instances, which are designed to deploy flexibly on various computing environment.This modularization allows scalable places to integrate into different infrastructure ecosystems so that the AI agent can operate efficiently, regardless of the underlying hardware or cloud platform.
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The program content of the independent game
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Fast prototype design of game concept
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Create a dynamic and changing environment in MMORPG
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Customized training scenarios are generated for education games
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The artificial intelligence character Luna on Tiktok can bring about $ 700 in each episode.
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PocketWaifugame’s revenue exceeded $ 20,200, and it attracted 100,000 users in just 13 days.This means that ARPU is $ 5.2, and marketing costs are $ 0.
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Personalized interaction:Different from the traditional push notification that is often ignored, news from artificial intelligence agents is more like communication between friends.This personalized experience increases the possibility of participation and action.
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Expansion dialogue:Artificial intelligence agents can deal with millions of interactions at the same time and provide a large -scale personalized experience, which cannot be achieved by human influencers.
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Available all -weather usability:The online characteristics of the AI agent can ensure that the user’s participation is consistent, thereby reducing the response time and increasing customer satisfaction.
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Mariovgg: As you can see, this is a study of video generation models for creating interactive video games.
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Western World Plan: The first playable world on Roblox broke through the boundaries of artificial intelligence -driven gaming experience.
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Audio to animation (A2A): Advanced research on audio -driven animation has opened up new possibilities for artificial intelligence and human interaction.
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60%(600,000,000 tokens): Holded by the public, promoting liquidity and adoption.
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5%(50,000,000 tokens): Provide motivation for liquidity pool.
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35%(350,000,000 tokens): Ecosystem vaults, growth and development.
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Controlled by DAO multiple signatures to achieve real decentralization.
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The maximum emission volume per year within three years is 10%, and it is approved by the community.
Artificial intelligence -driven NPCs can show complex behavior, adapt to real -time player movements, and keep memory on different game sessions or platforms.For example, artificial intelligence agents playing NBA 2K with users can remember the preferences of the same user when playing PUBG, thereby creating a more cohesive and personalized gaming experience.
These artificial intelligence agents provide personalized experience, learn from user interaction, and provide tailor -made response and actions.The range of virtual partners from artificial intelligence idols interacting with fans to virtual friends who provide emotional support.In the educational environment, artificial intelligence mentors can adapt to students’ learning styles. In the treatment environment, artificial intelligence partners can provide cognitive behavior support.
The AI agent can independently generate game assets, unique experiences, and even the entire game world based on the player’s personal preference.This surpasses the traditional user generation content (UGC), because the AI agent can create custom levels, tasks, roles and items, and make dynamic adjustments according to player behavior.
The potential of AGC is particularly important for consumer participation.With the advancement of AGC technology, the boundaries between creators and consumers will become blurred, which may make the content creation of various industries democratized.High -quality AI agents can generate diverse and fascinating content.Seamless integration into the game world may surpass traditional UGC in terms of scale and complexity.In addition, the combination of AGC and UGC may lead to the development of continuous development of the game environment. Among them, AI can help players create and improve content, thereby bringing rich and dynamic gaming experiences.
Virtuals protocol: the enlightenment of AI proxy
The Virtuals agreement innovatively applied the principle of the launch of the Main Coin to deploy AI agents, creating a unique intersection of entertainment, communities and technology.Just like the Mi Yin currency as a financial fan novel -allowing communities to share the value through sharing narrative and participation in creating value, Virtuals uses this mechanism to develop and deploy practical AI agents centered on entertainment.
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This method surpasses the AI agent beyond simple tools and transforms it into a community -driven asset.By combining the dynamics of the coin with AI, Virtuals has created an ecosystem that users can invest in, interact with AI agents and shape their development.The symbiosis of this financial, entertainment and artificial intelligence not only promotes participation, but also expands our ways to perceive and interact with digital entity in game and entertainment space.
Virtuals protocol model overview
The Virtuals protocol is a platform on the second layer chain, which is used to create, deploy and monetize AI agents.Like the mini currency, Virtuals allows the creation and deployment of unauthorized digital assets -in this example, that is, the AI agent.
The value of these agents, like the mini currency, mainly comes from community participation and narratives around them.This creates a dynamic ecosystem, which is popular and practical to promote the rapid value -added of value.
The model of the protocol is based on three key pillars:
The architecture of the platform includes cognition, voice, and vision core. These core coordination work creates a coordinated and interactive AI agent.A prominent feature is the audio rotation capability of the protocol, which enhances the authenticity and participation of virtual interaction.These agents aims to use clues to create a more flexible and potentially profitable digital entity ecosystem over time to adapt to and improve their abilities.
Realize the common ownership of the AI agent through the tokenization
Virtuals Protocol introduced a new concept of common ownership of AI agents through tokens.This model allows users to have a shares in an agent that interacts with it, thereby creating a community with a higher degree of participation and a higher degree of input.
The core of the tokenization process is to create a limited token supply for each AI agent, usually set to 1 billion tokens.These token represented part of the ownership of the agent and play a variety of role in the Virtuals ecosystem.
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Token holders are awarded the right to govern, enabling them to participate in key decisions that affect the development of agency development.This democratic method enables stakeholders to affect function, strategic direction and even creative choices.For example, individuals holding virtual pop singers AI tokens may have the right to choose the forthcoming music type or potential art cooperation.
Economic participation is another foundation for this alternate model.As the artificial intelligence agent generates income through its activities, token holders will benefit from their success.Part of the income generated is assigned to the repurchase and destruction mechanism, of which the tokens are purchased from the open market and permanently withdraw from circulation.This process may increase the value of the remaining tokens and keep the economic interests of token holders consistent with the performance of agents.
In some cases, token ownership may unlock the access of high -level functions or exclusive content of AI proxy.This layered access model motivates tokens to obtain and reserve, thereby creating a community with a higher degree of participation and a higher degree of input around each AI agent.
The tokenization process began in the first agent distribution (IAO), and the newly cast tokens were added to the liquidity pool.This has created an instant market for the ownership of the agency, so that the parties who are interested can obtain shares according to their confidence in the potential of the agency.
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Imagine an artificial intelligence agent called “Chefgpt”, which is dedicated to creative and professor recipes.The process of creating ChefgPT will involve the following steps:
This model has established a symbiotic relationship between AI agents, its creators and communities.As the agent becomes more successful, all stakeholders will benefit from it, which will inspire further development and participation.
The common ownership model also allows the possibility of cross -platform.For example, an AI of a virtual influenza can integrate its tokens into various social media platforms, games and virtual worlds.Token holders can affect its content strategy on Tiktok, the clothing selected in fashion games, and the dialogue options in the Yuan universe meeting.
In addition, this model has opened a new way for creative cooperation.Imagine that two popular AI agents with their respective token ecosystems decide to cooperate.Tokens from the two communities can vote on the nature of cooperation and may benefit from their success.
The tokens of AI agents have also introduced an interesting dynamic in terms of intellectual property rights and real world connections.For example, if an AI agent was created based on real celebrities, some parts of the token economy can be designed as a charity that celebrities or their choice.This builds a bridge between traditional intellectual property management and artificial intelligence -driven digital entities.
Launchpad protocol mechanism
The Virtuals protocol borrowed the experience of successful token issuance platforms such as pump.fun and introduced a clever AI agency distribution mechanism.** This first agent distribution (IAO) enables creators to introduce new AI agents into Virtuals ecosystems efficiently and fairly.
The IAO process begins with the creator locks 2400 $ Virtual tokens to start their AI agent.This operation will trigger a cast of 1 billion to the agent, and then put these tokens and the lock -up $ Virtual tokens into the liquidity pool.This structure ensures fair distribution without pre -mining or internal distribution, because 100% of the agency tokens are added to the liquidity pool.
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In order to promote long -term commitments and stability, the lock -up of the flow capital pool is 10 years, and the founder retains ownership.Extending the lock -up period helps to prevent the loss of funds and promote the sustainable development of the agency ecosystem.
The protocol uses an income model, which uses the $ Virtual tokens to pay the agent interaction fee.Then, these costs are used to repurchase and destroy the agent tokens, resulting in the tightening pressure of currency and may increase the value of the remaining token.This mechanism combines the interests of the agent, the user and the token holder.
In order to motivate high -quality agents, the agreement distributes the distribution of the first three agent liquidity pools according to the total lock value (TVL), and encourages agent creators to continue to improve and innovate.
Parallel synchronization
Parallel super synchronization represents a state of AI agency development. In this state, super -intelligent entities can seamlessly exist in multiple platforms and applications, interact with millions of users, and continue to evolve in real time.
The core of this concept is cross -platform continuity to ensure that the AI agent can maintain consistent personality and memory in different digital environments.For example, when users interact with AI partners in mobile games, when switching to desktop applications or VR environments, the same agent can still be encountered, and all previous interactions remain complete.This cross -platform experience provides a coherent and personalized user experience, surpassing the restrictions of a single platform.
These agents will evolve in real time with the interaction of users.AI has continuously optimized its intelligence and personality, and dynamically adapts to ensure that it is still correlated and fascinating in different situations.This continuous growth has enhanced the performance and affinity of agents, and each interaction will shape the development of agents.
Although these AI agents interact with millions of users at the same time when they are runtime, they can still provide personalized experience without affecting quality or response time.This scalability ensures that global users can feel the sense of connection and participation at unprecedented levels.
The openness of Virtuals Protocol has further enhanced the cooperation development of these agents.The contributor can update the core module of the AI agent in real time to ensure that it keeps with the latest technological progress and user needs.This continuous optimization promoted by a diverse developer community has enabled the agent to maintain correlation and effectiveness in the changing digital environment, which truly reflects the spirit of parallel synchronization overtime.
Technical infrastructure
In order to achieve this parallel synchronization state, Virtuals Protocol has developed a complex technology stack:
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Game engine
The generating autonomous multi -modal entity (Game) provides developers with a powerful framework to integrate advanced AI agents into a virtual environment.The core of Game is to use a complex proxy prompt interface as the main gateway to access and manipulate proxy behaviors.The interface communicates with the perception subsystem. The perception subsystem will synthesize the message and environmental data, and then pass it to the strategic planning engine.
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The strategic planning engine and the dialogue processing module and the coordinated wallet operator work together to generate a rapid response and suitable for context.A key component of the Game architecture is long -term memory processor, which can effectively extract and manage relevant information, including past experience, reflection, dynamic personality characteristics, world background and work memory.This comprehensive memory system has significantly enhanced the decision -making ability of the agent, allowing more detailed and consistent behavior over time.
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GAME’s modular design combines various methods, such as prompts, planning, reasoning, search algorithms, self -reflection, tool use and memory management.This integration enables AI agents that can create independent interaction with the environment, perform natural dialogue, and pursue complex goals.The feedback loop mechanism of the framework allows agents to improve their general knowledge based on the results of their actions and dialogues, thereby achieving continuous learning and adaptation.By providing API and SDK access, Game provides developers with flexible and powerful tool packages to create an immersive, dynamic and unlimited virtual experience to break through the boundaries of AI -driven interaction in the digital world.
With the function of the Game frame, Virtuals Protocol has developed Project Westworld, which is a multi -smart body interaction simulation in Roblox.This virtual world is a test site for independent behaviors, showing the potential of emerging story plots and dynamic interaction.
Project Westworld takes a wild western -style town as a background to bring players into an environment where ten unique AI agents live. Each agent has different personalities, goals and motivations.There is a hidden villain, The Bandit, and his existence adds mysterious and tense elements to the game.Players must control this complex social environment, interact with AI characters to unveil the identity of The Bandit and convene other agents to capture them.
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Project Westworld’s uniqueness is that it uses the game -driven agent, which surpasses the traditional non -player role (NPC).These AI entities can fully interact with the environment, make decisions based on their unique personality and past experience, and dynamically respond to player actions and other agents’ behaviors.This level of autonomy and adaptability brings infinitely diverse gaming experiences, and each session may be unfolded in a new and unexpected way.
Using this Game framework, Project Westworld introduced a new type of game: AI-RPG.This provides players with unparalleled immersion and heavy playability, because the virtual world will continue to develop according to the collective action and interaction of their residents.Project Westworld not only shows the current ability of the autonomous AI agent in the game, but also hints that the future potential of the virtual world driven by advanced AI frameworks such as Game
Mariovgg
Imagine the unlimited version of the training of artificial intelligence to generate the supermario brothers. This is one of the most representative video games in history.Now, imagine that only one consumer GPU achieves this goal in just 48 hours.This is exactly the potential of the Virtuals Protocol team through its MarioVGG project.
MarioVGG is a text -to -video communication model, which shows the continuous and meaningful scene and level potential of the universe in the supermario brothers. At the same timeThe output is complete.
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The success of the project lies not only to its can reproduce the world of Mario, but also its future significance for game development and player interaction.Mariovgg only needs to use simple text commands such as “running” or “jump” to generate unique play sequences with infinite extension. Let us see the prospects of traditional game engines that can replace certain applications in the future.
These applications may include:
Although VGG is more of concept verification rather than practical game engines, it implies some exciting possibilities in the virtual ecosystem, some of which may change our way of processing game development and player interaction at the design level.Essence
The content of the user has entered a new dimension.Players can describe their ideal levels and watch them become reality in real time.For example, players can enter “Create a Castle with Lava Pit and Flying Enemies”, and then artificial intelligence will generate a unique and playable level that conforms to the description.This customized level may give birth to a new user -generated content game type.
With this artificial intelligence -assisted game design, developers can use similar models to quickly make prototypes and iterate the concept of game concepts.Imagine that the game designer enters a series of levels descriptions, and you can receive a fully realized playable prototype within a few minutes.This can greatly speed up the game development process and allow more experiments in design.
The ability to generate unlimited and coherent gameplay can fundamentally change our views on game life and heavy play.Using this technology, the Roguelike game can create a unique dungeon for each game to ensure that no two games are the same.Artificial intelligence will create a unique layout for each new game, including custom enemy location, items distribution, and even micro -narrative.This ensures that each game can provide fresh and unpredictable experiences, which significantly improves heavy playability and player participation.This can infinitely extend the life of the game and provide players with a steady stream of fresh content.
By using this technology token, community members can invest and shape the development of such AI models.Token holders can vote for the next step to adapt which games to adapt, or contribute to training data through the levels generated and scored.This method may start a new era of community -driven game development, and players can directly participate in the evolution of their favorite games.
This technology can expand assets that can be seamlessly run in multiple games.Imagine that the characters or items created by artificial intelligence can perfectly integrate into different game worlds, from 2D platform games to 3D role -playing games.This may bring a more unified and immersive game ecosystem. Players’ achievements and assets are valuable in various game experiences.
As Virtuals Protocol continues to improve this technology and expand its application, projects and other projects are paving the way for the future. The boundaries between game developers, players and artificial intelligence will become more and more blurred. It is expected to be realized by our imagination.Limited new interactive entertainment.In order to fully grasp the potential of this method, let us understand the principles of Virtuals Protocol and its internal working principles.
Virtual proxy
A key feature of the Virtuals Protocol technology architecture is its model that does not need to be licensed, which aims to promote seamless AI agents into various applications and platforms.The system enables developers and users to access and deploy Virtual proxy with the maximum flexibility and minimum entry threshold.
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Meaning and future potential:
Parallel super synchronization realization makes some interesting scenes in human -machine interaction is possible.Imagine that an artificial intelligence agent can act as a personal assistant in productivity applications, or as a teammate in multiplayer games, as well as a mentor in the education platform -to maintain consistent personality and shared interactive memory.
This technology may completely change the fields of customer service. In these fields, artificial intelligence agents can provide seamless support through telephone, chat, email and face -to -face interaction, and always based on previous interaction.In the field of entertainment, it can bring deep immersive experience. Artificial intelligence characters in games or virtual worlds will show complex and continuous development personality, and span multiple games or platforms.
However, AI complexity, which realizes this level, has also triggered important issues related to data privacy, AI ethics, and such a common AI that may have on society.As Virtuals Protocol continues to develop this technology, solving these problems is essential for extensive adoption and acceptance.
Case research: virtual AI idols on TIKTOK
Virtuals Protocol’s AI-Dol band consists of Luna, Olyn, and Iona. It is a typical representative of the agreement to create an ecosystem.The AI-DOL band is a virtual net red group created by artificial intelligence driven by Virtuals Protocol.Each member (LUNA, Olyn and Iona) has unique personality, style and fan base.They are mainly operated on TIKTOK, using the huge user base and participation algorithms of the platform.
This virtual influencing group driven by artificial intelligence has more than 500,000 fans and more than 9.5 million likes on Tiktok. Using the popularity of virtual YouTube users (VTubers), it has left a deep impression in the field of digital interaction.
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It solves a key gap in the VTuber market: large -scale creation of personalized fan relationships.Unlike artificially operating VTuber, AI-DOL retains each fan interaction, so as to establish a depth and personalized connection with the infinite number of fans at the same time.This model shows how AI agents create and monetize content, attract audiences, and build communities -all these are autonomous and large -scale.These agents are not just tools, they have become active participants in the digital economy, which can create value and establish a real connection.Since AI-Dol aims to be the AI corresponding party of traditional VTuber agencies such as Hololive, it is paving the way for a new era of digital interaction.
The use of artificial intelligence agents will pay attention to monetization.
1: 1 dm & gt; & gt; push notification?The rise of artificial intelligence agents, especially in the field of virtual influencing, such as Virtuals Protocol’s AI-Dol band, represents a unique way to attract users’ attention and monetize it.
Consider these amazing numbers:
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These artificial intelligence entities can not only attract users on TIKTOK platforms, but also achieve deeper and personalized interactions through channels such as Telegram.This dual strategy enhances user participation and opened up new sources of income.
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Luna’s transformation from Tiktok’s reds to private chat partners shows important evolution in marketing and attracting attention.Although TIKTOK is an excellent funnel top platform, the transition of a pair of Telegram’s chat marks a major leap in user participation.The transformation from social social interaction to personal interaction solves a key challenge in digital marketing: large -scale establishment of meaningful personalized connections.
The transformation of the personal chat has opened up a new profitability.Traditional push notifications are often ignored, but news from “friends” (AI agent in this example) is more likely to be read and take action.
Historically, digital marketing has always focused on attracting attention through algorithms aimed at maximizing participation.However, in this era, people are changing significantly and turning to establish a closer connection with users.For brands that want to cultivate loyalty and promote transformation in the increasingly crowded market, this transformation is essential.
Perhaps the most revolutionary aspect is that artificial intelligence agents themselves may become publishers themselves.By establishing a direct contact with millions of users, each artificial intelligence agent has become a powerful distribution channel.
In addition to the AI-Doll band and the Roblox Westworld game, other AI agents are also built on Virtual Protocol.AI Waifu is a fantasy partner chat tool with more than 300 AI characters. It has attracted more than 200,000 users through the content and immersive story generated by users.The upcoming project The Heist aims to show the ability of Virtual Agents to manage chains in the gaming economy.SANCTUM is a 3D AI-RPG, which has a smart GACHA hero and a dynamic world managed by “God AI Agent”. It is expected to provide personalized and continuous development gameplay.
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Although Virtuals is a young team (founded in January 2024), they have made remarkable progress in application development and research.Their product portfolio includes:
These different projects indicate that Virtuals Protocol has potential to become a launching platform for cross -domain AI agents.By opening the platform to third -party developers, Virtuals positions itself as a central ecosystem created and deployed by AI agents.Just like Pump.fun completely changed the method of MEMECOIN, Virtuals Protocol can change the development, monetization, and integration of AI proxy to promote innovation and create new opportunities in the digital field of AI -driven.
$ Virtual tokens Economics: Provide motivation for an artificial intelligence agency economy
The core of Virtuals Protocol is the $ Virtual tokens, which aims to promote the deployment and utilization of AI agents.The token structure aims to be a self -sufficient nobility tightening ecosystem, and the interests of users, developers and investors are consistent.
But Virtuals is not just building another infrastructure without any application -they are actively creating income across multiple platforms.From Tiktok live broadcasts to AI WAIFU and ROBLOX integration, the team has established a powerful ecosystem and has already monetized AI agents in various ways of winning.
$ Virtual is the pillar of the agency economy, and each AI agent tokens are paired with the $ Virtual in its flow pool.This symbiotic relationship ensures that the success of a single agent can increase the value of the entire agreement and form a situation of rising and high rising and high industries.The creation of the new agent will lock the $ Virtual tokens in these flow pools, which will naturally squeeze the supply and may push the value over time.In addition, $ Virtual serves as a gateway to purchase token to ensure that the continuous demand flow is similar to ETH transactions in Ethereum, but tailor -made for AI -driven ecosystems.
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Virtuals Protocol’s chain economy is realized through several key mechanisms.Users use $ Virtual to pay AI service fees in real time, so as to create a direct and transparent value flow from users to proxy.With the profit of the AI agent, the income flows in the form of continuous flow of the $ Virtual tokens, providing visible and audit value generating trajectories.Perhaps the most interesting thing is that the income earned by agents is put into use through repurchase and destruction mechanism.This process has a currency tightening effect on the agency tokens, which may increase the value of the remaining token and establish a virtuous circle of value creation and acquisition.
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Token distribution:
Become a startup board for artificial intelligence agent
Virtuals Protocol has become a key participant in the AI Revolution, and re -assumes the way we create, deploy and monetize AI agents.By transforming these agents from tools to revenue assets, Virtuals has established a sustainable economic model for AI development.Its token economics ensures value flow to all ecosystem participants, and at the same time enables the AI agent to run across multiple applications, thereby increasing its income potential.
The entrepreneurial studio of the agreement is accelerated by displaying the real application of games, entertainment and social platforms.As Virtuals opens its platform to third -party developers, it is likely to be the startup platform for the next wave of artificial intelligence innovation to catalyze the wave of artificial intelligence applications in various industries.This transformation is making artificial intelligence democratization, making agents creation and monetization as easy as launching Memecoin and even creating a website.A new digital economy is emerging -an artificial intelligence agency market that is constantly developing and creating value.This redefines the interaction between users and artificial intelligence, and transforms from passive tools to active, income -to -income digital entities.
Looking forward to the future, if Virtuals can successfully guide early developer communities to launch agents, we may see more agency solutions integrated with Virtuals or similar platforms.It is expected that companies such as Theoriq, TALUS or other AI agency platforms (and even Ritual, etc.) may access these types of platforms, allowing you to speculate and share the revenue of agents across the chain.
Its influence is profound.As artificial intelligence agents are increasing into our lives, the boundaries between humans and artificial intelligence have become blurred, bringing unprecedented opportunities to innovation and interaction.The success of success in this field will depend on adaptability and vision.Those who use platforms such as Virtuals Protocol will shape the future of technology and society.