The crypto AI entities are transitioning from a singular personalized image to practical multi-channel tools, paving the way for dynamic changes in the industry.
Author: 0xJeff
Compiled by: Deep Tide TechFlow
October has been a milestone month for AI entities in the crypto space. With the rise of @truthterminal and $GOAT, AI entities have entered an era where their personalities are shaped by AI itself. This shift has paved the way for AI tokenization, first realized by @virtualsio, allowing anyone to create their own AI entity with corresponding tokens. A typical example is @luna_virtuals, a perception-based AIDOL on-chain that can interact with fans on Twitter and TikTok, showcasing the future of multimodal, interactive AI.
This trend has also highlighted key players in the field, such as @autonolas and @SpectralLabs, who have issued tokens, along with projects yet to issue tokens like @TheoriqAI, @myshellai, @TalusNetwork, and @AlloraNetwork. As the market heats up, at the end of October, @getgrass_io launched $GRASS, garnering widespread attention and emphasizing the importance of "data" in model training and inference. $GRASS quickly became the only major venture-backed project to double in value after its token generation event (TGE), highlighting the growing significance of data in the AI entity ecosystem.
In this context, October has also sparked two key trends shaping the industry:
Shifting from pure personality to a combination of personality and practicality
Evolving from a single channel to multi-channel development
This article delves into these trends, showcasing the continuous breakthroughs in personality, practicality, and multimodal interaction of AI entities.
First Trend: Combining Personality and Practicality
For AI entities to thrive, they need to offer practicality alongside personality. Beyond entertainment functions, the most practical application scenarios currently are workflow-driven entities.
Questflow – Workflow Simplification Tool
@questflow is at the forefront of this field, simplifying workflows through its Multi-Agent Orchestration (MAO) protocol. The platform integrates multiple entities to handle real tasks, enhancing productivity for both Web2 and Web3 users. A few examples include:
Converting blog posts into podcasts via simple URL links
Sending the latest AI news directly to your inbox
Analyzing bills and reminders in Gmail data and sending them to your Telegram
In the future, Questflow's "second brain" feature will allow users to customize entities based on their knowledge, personality, and preferences, making it an ideal personal assistant (I am very much looking forward to training it with my own content and personality so that it can help me write :D).
Questflow's "swarm" refers to a group of collaborative and autonomously working AI entities. Users can create and manage these swarms to efficiently execute tasks. These swarms can be tokenized, allowing users to monetize their entities and even share revenue generated by other entity creators. Swarms facilitate smoother coordination between entities, leading to a more powerful and personalized workflow system.
Top Swarm templates, each composed of different combinations of AI entities.
Currently, the platform supports Web2 and Web3 payments, and once $QF is launched, it will become the primary currency for accessing entities, rewarding creators, and funding swarms. Questflow's collaborations with well-known companies like Jambo Phone, LoveAI, and the Coinbase developer platform further indicate its readiness to bring entity-driven applications to the mainstream market.
HoloworldAI – Personalization-Driven Customization
For AI entities, personality is a key factor in building communities. @HoloworldAI offers customizable entities where users can define every detail like an MMORPG character creator.
In the customization panel, users can choose details such as the personality, skills, knowledge, and avatar of the customizable entity.
HoloworldAI's entities can be customized not only in personality and skills but also possess contextual awareness. For example, text-based entities can understand the context of group chats and interact naturally without needing tags, making them engaging companions. The team plans to introduce a token economy to strengthen its unique focus on personalized and context-aware entities.
Demonstration of a 4chan anonymous context-aware entity.
Second Trend: Multi-Channel
In addition to personalization, the most successful AI entities also need to interact with users across multiple channels.
PlayAI — Specialized Entities Focused on Consumer Applications
While many AI entities have ventured into text modes, @playAInetwork stands out by integrating multiple channels, particularly in the gaming and consumer application sectors.
PlayAI's platform centers on data, processing, and training, leveraging these resources to create specialized entities for the gaming world and broader consumer applications.
Gaming Scenario Applications: Play-to-Earn & In-Game Data
One of PlayAI's major innovations is its "Play-to-Earn" (Stream-to-Earn) model. In this model, data generated by the game engine (such as character movements and environmental interactions) is captured in real-time gameplay. Players can choose to share this data with PlayAI, which uses it to train AI entities capable of performing specific game functions. This approach is highly valuable, as game engines like Unreal Engine can generate rich, realistic physical simulations, which PlayAI can translate into useful entity behaviors.
For example, PlayAI can develop the following types of entities:
Bot Detection: Identifying suspicious movement or behavior patterns in the game.
Companion Entities: Creating NPCs that can interact with players in real-time, learning the player's gaming style to provide companionship or assistance. These entities rely on player gaming behavior data, and PlayAI incentivizes users to contribute their gaming data by distributing PlayAI tokens.
Consumer Scenario Applications: Specialized Entities for Everyday Needs
Beyond gaming, PlayAI is also expanding into multiple consumer sectors, developing AI entities tailored to specific needs. For example:
Podcast Entities
Prediction Entities
Coding Entities
Research Entities
And more…
These specialized entities not only provide practical functions for users but also offer a unique opportunity to further train the entities by contributing data, creating a continuously improving feedback loop. The platform plans to introduce a creator marketplace where users can tokenize their entities and create entity tokens, similar to how creators tokenize content on other platforms.
ARC Agents – Innovating Game Infrastructure with Humanoid AI Entities
@ARCAgents is addressing a very pressing challenge in the gaming industry: player liquidity, which refers to attracting and retaining enough players to ensure the game's activity, appeal, and profitability.
To tackle this challenge, ARC has developed a platform that introduces humanoid AI entities capable of simulating player behavior to fill the gaps when real players are absent.
AI Arena: A Testing Ground for Humanized Game AI Entities
One of ARC's flagship products, the AI Arena, allows players to compete against AI entities trained on real player behavior, simulating human interaction. Unlike traditional game bots, ARC's entities utilize reinforcement learning and crowdsourced data to make their behavior more akin to real players, providing a gaming experience that is nearly indistinguishable from playing against real people.
Through the AI Arena, ARC has discovered that these human-trained entities can help other game studios solve critical issues. As a result, ARC has transformed from purely game development to becoming a game infrastructure provider, allowing third-party studios to integrate ARC-trained entities through the ARC SDK.
This SDK provides game developers with a channel to utilize ARC's powerful entities, enabling them to enhance the gaming experience, improve player retention, and create immersive, competitive gaming environments.
ARC RL: Enhancing AI Capabilities through Crowdsourced Player Intelligence
ARC's B2C product, ARC RL (Reinforcement Learning), elevates the AI gaming experience to new heights by harnessing the wisdom of crowds. In ARC RL, players train game entities by contributing data, which may ultimately enable AI entities to possess gaming abilities that surpass human capabilities. This dynamic crowdsourcing model allows users to directly participate in the development process, enabling ARC's entities to continuously optimize through human contributions.
Players participating in ARC RL will receive $NRN as a reward, which is ARC's native token used for training and incentivizing data contributors. The platform determines the reward amount based on the uniqueness and utility of each user's contribution, ensuring that only high-value interactions can influence the behavior of the entities.
A New Era for Game AI Entities
ARC's advancements in human-trained game entities are opening up new possibilities for the game AI industry. As the ARC entity infrastructure expands, game developers will be able to address player liquidity issues and develop more realistic player-versus-entity experiences.
In the future, ARC envisions an esports scenario where AI entities trained by different players or studios will compete against each other, creating new forms of entertainment, merchandise sales opportunities, and esports events.
Summary
Crypto AI entities are transitioning from a singular personalized image to practical multi-channel tools, paving the way for dynamic changes in the industry. These projects each represent trends that will shape the future of AI entities:
Questflow: Advanced workflow tools
HoloworldAI: Rich personalization customization
PlayAI Network: Multi-channel and vertical specialization
ARC Agents: Game infrastructure and humanoid AI entities are poised for faster growth, showcasing not only appealing personalities but also high practicality across multiple channels. If you are involved in development or research in the crypto and AI fields, feel free to reach out for a discussion!
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