What is Play AI? All You Need To Know About Play AI

Intermediate7/17/2024, 12:08:15 PM
Play AI is a modular blockchain designed to become the intelligence layer to facilitate the development and deployment of artificial intelligence agents in games.

What is Play AI?

Play AI is a modular blockchain designed to facilitate the development and deployment of artificial intelligence (AI) agents in the gaming sector. The project aims to become the intelligence layer that allows developers to craft hyper-personalized and immersive gaming experiences through AI.

Play AI built an infrastructure that facilitates the collection of high-quality gaming data while incentivizing users to contribute their gameplay data. It also provides the infrastructure for deploying AI agents within games.

Its infrastructure involves partnerships with projects like Polygon and Altlayer to provide development tool kits for faster game deployment. The tech stack is focused on delivering a scalable, cost-efficient, and secure foundation for developers in the Play AI ecosystem.

History Of the Play AI Project

PS Ramees established the Play AI project in December 2023. Ramees is also the co-founder of Dehidden and Layer-E and has worked with companies like Adidas and Walmart.

In June 2024, the Play AI project secured $4.3 million in funding to position itself as a gaming powerhouse in the heart of Las Vegas. Key investment partners supported the funding round, including P2 Ventures, Jump Crypto, MH Ventures, and Alphage Ventures.

The funds are designated to build the Play AI team and expand the AI infrastructure in the blockchain gaming space.

Core Components

Artificial Intelligence

The Play AI infrastructure heavily leverages the AI component to create an ecosystem that supports developing and deploying AI agents. Play AI’s modular blockchain gathers high-quality gaming data from individual players, game developers, and existing game environments.

This data is then used to train AI models that can be customized to cater to the specific needs of different games. Once trained, these AI models or agents can be integrated into games to improve users’ experiences.

The Play AI network also provides the infrastructure for distributing these AI agents and their functionalities to avoid centralization.

Polygon CDK

Formerly known as Matic Network, the Polygon blockchain is designed to address Ethereum’s scalability issues. It achieves this by creating a multi-chain system compatible with Ethereum.

The Play AI infrastructure integrates Polygon’s chain development kit (CDK) as the foundation for its gaming AI blockchain. This toolkit allows Play AI to construct a blockchain specifically designed to handle the demands of training and deploying AI models within video games.

The advantages of using Polygon CDK are two-fold. First, it offers flexibility and customization. Play AI can tailor the blockchain to the evolving needs of developers, allowing it to process and handle AI-related gaming data.

Second, Polygon’s CDK has a user-friendly, streamlined development process. This can help Play AI, and other developers accelerate the project’s infrastructure and ecosystem development.

The customizable, user-friendly development capacity allows developers to train and deploy AI agents cost-efficiently.

Alt-layer

AltLayer is a decentralized protocol that provides rollup frameworks to contribute to a more efficient and secure blockchain ecosystem. It collaborates with different projects by providing customized rollups with versatile stacks, data availability solutions, and tooling.

The Play AI project collaborates with the AltLayer project to offer a pre-built framework for developers to launch customized Layer 2 solutions. This Rollups-as-a-Service (RaaS) is designed to support the consistently increasing demand for gaming AIs.

GameFi

The Play AI project is designed to reward users for contributing gameplay data. To fully ensure that liquidity and rewards are unified and safe, the project aims to tap into the aggregation layer using ZK proof.

This would allow Play AI to conduct atomic cross-chain transactions, creating a secure and scalable interconnected network. The feature also allows developers to develop play-to-earn games that utilize GameFi mechanisms and user rewards.

Features of the Play AI Ecosystem: Play Market, Play Dojo and Play Hub

Play Market


Source: Play AI Website

The Play market is the information hub of the Play AI ecosystem. It gathers data from various sources, such as individual gamers, game developers, existing game environments, and even AI agents.

This data could include player actions and choices, in-game behavior, game mechanics, environment design, and enemy patterns. This allows the AI project to create a comprehensive picture trained from the gaming activities of multiple users and sources.

Aside from data collection, the Play market also aims to eliminate unreliable, biased information that could negatively impact the AI models. This is done using a validation method that allows Play AI to ensure the quality of the data collected.

Play AI incentivizes users and data contributors to participate in this process. This incentive system, called “The Oasis,” allows players to obtain Alpha passes and earn while streaming their gameplay. Players who aim to stream and earn must connect their wallets to the Play Collective feature.

Play Dojo


Source: Play AI Website

The Play Dojo is the center for crafting, developing, and testing AI agents within the Play AI ecosystem. It equips developers with the tools to create and customize AI agents and gives them access to the vast amount of gaming data curated by Play Market.

This data serves as the training ground for AI models, allowing developers to tailor the agent’s decision-making process to specific gaming scenarios. This is done by programming its logic and defining how it interacts with the game environment based on available data.

After the logic programming, these AI agents are further tested and refined. Developers can simulate game environments within Play Dojo to assess the agent’s effectiveness in real time. This would help identify areas for improvement and ensure the agent functions as intended within the gaming application.

Play Dojo also provides tools to monitor, fine-tune, and guarantee the performance of the AI agents during the actual gaming experience.

Play Hub


Source: Play AI Website

The Play Hub is the final stage of developing AI agents. After meticulous testing within the Play Dojo, the Hub allows the AI agents to be integrated into various gaming applications.

This integration process involves uploading the AI agent and configuring its behavior and parameters to suit the game. Play Hub also empowers developers to manage multiple AI agents within a single game, creating a complex web of AI-driven interactions.

Developers can easily integrate AI agents to support blockchains and gaming applications using Play Hub’s standardized approach. This standardized approach includes pre-defined functionalities for how AI agents interact with the players and elements in the gaming environment.

Risk Analysis

Advantages

Play AI aims to revolutionize gaming by integrating AI agents to create more dynamic, adaptive user gameplay. This can lead to more user interactions, richer gameplay, and more engaging plotlines for players regardless of the gaming niche.

The project also allows developers lacking AI tech knowledge to build AI agents, reducing the monopolistic power of larger game development entities. This could lead to broader adoption and democratization of AI in gaming, increasing the industry’s innovative capacity.

Play Hub streamlines the integration process for developers by offering standardized tools, roll-ups, and protocols. With tools like the AltLayer Raas and Polygon’s CDK, developers could reduce development time, allowing them to focus on crafting the core gameplay mechanics and storyline.

Disadvantages

While the project is focused on assisting new developers in joining the AI gaming space, there needs to be more information about the project and the specific functionalities of the AI agents. This lack of available information makes it difficult for developers new to the space to properly onboard and participate in AI gaming integrations.

The technology also relies heavily on collaborating with other projects to run its network and ecosystem efficiently. Play AI relies heavily on technologies like Polygon CDK and AltLayer’s RaaS. Any limitations or vulnerabilities within these platforms could affect Play AI’s functionality.

The level of AI technology needed to fully harness the potential of the Play AI platform is still under development. This would affect the adoption rate of AI gaming since some players prefer a more human-driven approach rather than under-developed AI interactions.

Challenges

Integrating AI agents within a game environment presents a significant challenge in infrastructure and technical knowledge. The projects would need to balance smooth performance with preventing unexpected behaviors from the AI agents, requiring a high level of expertise.

The Play AI project gathers a large amount of user data from individuals to corporate entities. Ensuring the privacy of this data would be a challenge, requiring a detailed security protocol. This would build user trust in the project and mitigate the reckless use of personal data.

Finally, the ability to provide advanced production tools to AI gaming developers while ensuring user-friendliness is a challenge. The more advanced the tools required for production, the more the learning curve, and the less accessible it becomes to mainstream developers.

Competitive Analysis

The Play AI network and the Ultiverse project utilize AI in the gaming sector to create an ecosystem for players and developers.

The Play AI network is focused on empowering developers and providing the infrastructure for deploying AI agents and models. Meanwhile, the Ultiverse project aims to connect Web3 with players worldwide using its Bodhi Protocol and large language models (LLM) to generate gaming content.

Play AI’s simple GameFi feature incentivizes users to share gameplay data for training AI models, creating dynamic non-player characters (NPCs). While Ultiverse provides a complex economic system, combining GameFi, NFTs, DeFi, a marketplace, and liquid staking for its users.

Play AI allows players to create their own AI agents, adding a layer of customization and uniqueness to the gaming environment. Ultiverse does not have that capacity, focusing on AI-powered algorithms that contribute to creating autonomous gaming worlds on the blockchain.

Take Action on Play AI

Users can trade the Play AI token here.

Auteur: Bravo
Vertaler: Paine
Revisor(s): Matheus、Edward、Ashley
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.

What is Play AI? All You Need To Know About Play AI

Intermediate7/17/2024, 12:08:15 PM
Play AI is a modular blockchain designed to become the intelligence layer to facilitate the development and deployment of artificial intelligence agents in games.

What is Play AI?

Play AI is a modular blockchain designed to facilitate the development and deployment of artificial intelligence (AI) agents in the gaming sector. The project aims to become the intelligence layer that allows developers to craft hyper-personalized and immersive gaming experiences through AI.

Play AI built an infrastructure that facilitates the collection of high-quality gaming data while incentivizing users to contribute their gameplay data. It also provides the infrastructure for deploying AI agents within games.

Its infrastructure involves partnerships with projects like Polygon and Altlayer to provide development tool kits for faster game deployment. The tech stack is focused on delivering a scalable, cost-efficient, and secure foundation for developers in the Play AI ecosystem.

History Of the Play AI Project

PS Ramees established the Play AI project in December 2023. Ramees is also the co-founder of Dehidden and Layer-E and has worked with companies like Adidas and Walmart.

In June 2024, the Play AI project secured $4.3 million in funding to position itself as a gaming powerhouse in the heart of Las Vegas. Key investment partners supported the funding round, including P2 Ventures, Jump Crypto, MH Ventures, and Alphage Ventures.

The funds are designated to build the Play AI team and expand the AI infrastructure in the blockchain gaming space.

Core Components

Artificial Intelligence

The Play AI infrastructure heavily leverages the AI component to create an ecosystem that supports developing and deploying AI agents. Play AI’s modular blockchain gathers high-quality gaming data from individual players, game developers, and existing game environments.

This data is then used to train AI models that can be customized to cater to the specific needs of different games. Once trained, these AI models or agents can be integrated into games to improve users’ experiences.

The Play AI network also provides the infrastructure for distributing these AI agents and their functionalities to avoid centralization.

Polygon CDK

Formerly known as Matic Network, the Polygon blockchain is designed to address Ethereum’s scalability issues. It achieves this by creating a multi-chain system compatible with Ethereum.

The Play AI infrastructure integrates Polygon’s chain development kit (CDK) as the foundation for its gaming AI blockchain. This toolkit allows Play AI to construct a blockchain specifically designed to handle the demands of training and deploying AI models within video games.

The advantages of using Polygon CDK are two-fold. First, it offers flexibility and customization. Play AI can tailor the blockchain to the evolving needs of developers, allowing it to process and handle AI-related gaming data.

Second, Polygon’s CDK has a user-friendly, streamlined development process. This can help Play AI, and other developers accelerate the project’s infrastructure and ecosystem development.

The customizable, user-friendly development capacity allows developers to train and deploy AI agents cost-efficiently.

Alt-layer

AltLayer is a decentralized protocol that provides rollup frameworks to contribute to a more efficient and secure blockchain ecosystem. It collaborates with different projects by providing customized rollups with versatile stacks, data availability solutions, and tooling.

The Play AI project collaborates with the AltLayer project to offer a pre-built framework for developers to launch customized Layer 2 solutions. This Rollups-as-a-Service (RaaS) is designed to support the consistently increasing demand for gaming AIs.

GameFi

The Play AI project is designed to reward users for contributing gameplay data. To fully ensure that liquidity and rewards are unified and safe, the project aims to tap into the aggregation layer using ZK proof.

This would allow Play AI to conduct atomic cross-chain transactions, creating a secure and scalable interconnected network. The feature also allows developers to develop play-to-earn games that utilize GameFi mechanisms and user rewards.

Features of the Play AI Ecosystem: Play Market, Play Dojo and Play Hub

Play Market


Source: Play AI Website

The Play market is the information hub of the Play AI ecosystem. It gathers data from various sources, such as individual gamers, game developers, existing game environments, and even AI agents.

This data could include player actions and choices, in-game behavior, game mechanics, environment design, and enemy patterns. This allows the AI project to create a comprehensive picture trained from the gaming activities of multiple users and sources.

Aside from data collection, the Play market also aims to eliminate unreliable, biased information that could negatively impact the AI models. This is done using a validation method that allows Play AI to ensure the quality of the data collected.

Play AI incentivizes users and data contributors to participate in this process. This incentive system, called “The Oasis,” allows players to obtain Alpha passes and earn while streaming their gameplay. Players who aim to stream and earn must connect their wallets to the Play Collective feature.

Play Dojo


Source: Play AI Website

The Play Dojo is the center for crafting, developing, and testing AI agents within the Play AI ecosystem. It equips developers with the tools to create and customize AI agents and gives them access to the vast amount of gaming data curated by Play Market.

This data serves as the training ground for AI models, allowing developers to tailor the agent’s decision-making process to specific gaming scenarios. This is done by programming its logic and defining how it interacts with the game environment based on available data.

After the logic programming, these AI agents are further tested and refined. Developers can simulate game environments within Play Dojo to assess the agent’s effectiveness in real time. This would help identify areas for improvement and ensure the agent functions as intended within the gaming application.

Play Dojo also provides tools to monitor, fine-tune, and guarantee the performance of the AI agents during the actual gaming experience.

Play Hub


Source: Play AI Website

The Play Hub is the final stage of developing AI agents. After meticulous testing within the Play Dojo, the Hub allows the AI agents to be integrated into various gaming applications.

This integration process involves uploading the AI agent and configuring its behavior and parameters to suit the game. Play Hub also empowers developers to manage multiple AI agents within a single game, creating a complex web of AI-driven interactions.

Developers can easily integrate AI agents to support blockchains and gaming applications using Play Hub’s standardized approach. This standardized approach includes pre-defined functionalities for how AI agents interact with the players and elements in the gaming environment.

Risk Analysis

Advantages

Play AI aims to revolutionize gaming by integrating AI agents to create more dynamic, adaptive user gameplay. This can lead to more user interactions, richer gameplay, and more engaging plotlines for players regardless of the gaming niche.

The project also allows developers lacking AI tech knowledge to build AI agents, reducing the monopolistic power of larger game development entities. This could lead to broader adoption and democratization of AI in gaming, increasing the industry’s innovative capacity.

Play Hub streamlines the integration process for developers by offering standardized tools, roll-ups, and protocols. With tools like the AltLayer Raas and Polygon’s CDK, developers could reduce development time, allowing them to focus on crafting the core gameplay mechanics and storyline.

Disadvantages

While the project is focused on assisting new developers in joining the AI gaming space, there needs to be more information about the project and the specific functionalities of the AI agents. This lack of available information makes it difficult for developers new to the space to properly onboard and participate in AI gaming integrations.

The technology also relies heavily on collaborating with other projects to run its network and ecosystem efficiently. Play AI relies heavily on technologies like Polygon CDK and AltLayer’s RaaS. Any limitations or vulnerabilities within these platforms could affect Play AI’s functionality.

The level of AI technology needed to fully harness the potential of the Play AI platform is still under development. This would affect the adoption rate of AI gaming since some players prefer a more human-driven approach rather than under-developed AI interactions.

Challenges

Integrating AI agents within a game environment presents a significant challenge in infrastructure and technical knowledge. The projects would need to balance smooth performance with preventing unexpected behaviors from the AI agents, requiring a high level of expertise.

The Play AI project gathers a large amount of user data from individuals to corporate entities. Ensuring the privacy of this data would be a challenge, requiring a detailed security protocol. This would build user trust in the project and mitigate the reckless use of personal data.

Finally, the ability to provide advanced production tools to AI gaming developers while ensuring user-friendliness is a challenge. The more advanced the tools required for production, the more the learning curve, and the less accessible it becomes to mainstream developers.

Competitive Analysis

The Play AI network and the Ultiverse project utilize AI in the gaming sector to create an ecosystem for players and developers.

The Play AI network is focused on empowering developers and providing the infrastructure for deploying AI agents and models. Meanwhile, the Ultiverse project aims to connect Web3 with players worldwide using its Bodhi Protocol and large language models (LLM) to generate gaming content.

Play AI’s simple GameFi feature incentivizes users to share gameplay data for training AI models, creating dynamic non-player characters (NPCs). While Ultiverse provides a complex economic system, combining GameFi, NFTs, DeFi, a marketplace, and liquid staking for its users.

Play AI allows players to create their own AI agents, adding a layer of customization and uniqueness to the gaming environment. Ultiverse does not have that capacity, focusing on AI-powered algorithms that contribute to creating autonomous gaming worlds on the blockchain.

Take Action on Play AI

Users can trade the Play AI token here.

Auteur: Bravo
Vertaler: Paine
Revisor(s): Matheus、Edward、Ashley
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.
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