Preface

In the rapidly developing fields of cryptocurrency and artificial intelligence (AI), Ailive (AILIVE) is an innovative project that is gradually attracting widespread attention. The project aims to democratize machine learning (ML) and AI by providing a powerful and intuitive platform that allows everyone to use AI and understand the basic principles of machine learning. Ailive’s focus is on enabling users to train, understand, and deploy their own 3D AI agents with minimal barriers.

What is Ailive?

Source:https://ailive.co/agents/zero

Alive is a novel project aimed at democratizing machine learning (ML) and artificial intelligence (AI) by providing a powerful, intuitive platform for everyone to use AI, so that they can understand the basic principles of machine learning and conduct experiments. Our focus is to enable individuals to train, understand, and deploy their own 3D AI agents with minimal barriers.

Source:https://ailive.co/agents/zero

Ailive introduces a breakthrough example in the field of artificial intelligence and blockchain, demonstrating the instant evolution of artificial intelligence agents. It represents the first recorded instance of machine learning, in which artificial intelligence agents develop human-like skills from infancy and continue to evolve in various stages of life. By combining advanced machine learning techniques with gamification and market support from blockchain, Ailive aims to create a self-sustaining ecosystem that fosters innovation, interaction, and economic activities.

Technical foundation

Alive combines advanced technologies such as physics simulation, reinforcement learning, deep learning, and 3D rendering to create a realistic, scalable, and interactive environment for training and deploying autonomous AI agents.

1. MuJoCo (Multi-Joint Dynamics with Contact)

MuJoCo is a physics engine used to simulate complex movements in virtual environments, with advantages including:

• High-precision simulation: Achieve real joint control, friction, and collision.
• Rapid prototyping: Low threshold to set new tasks or modify existing tasks.
• Efficiency: Supports parallel simulation to accelerate multi-environment training.

2. Reinforcement Learning

Reinforcement learning is at the core of many AI breakthroughs, learning by letting agents take actions in the environment to maximize cumulative rewards. Its key features include:

• State, Action, Reward: The agent observes the state, performs actions, and receives rewards, gradually optimizing its strategy.
• Explore and Exploit: Balance the exploration of new actions with the exploitation of known successful actions.
• Policy and Value Function: Reinforcement learning maps states to actions through policies and estimates the value function of long-term rewards.

3. Proximal Policy Optimization (PPO)

PPO stands out in reinforcement learning algorithms for its robust performance and relatively simple usage. Its main characteristics include:

• Optimization strategy update: Use targeted pruning to avoid large-scale, disruptive strategy updates.
• Sample Efficiency: Combining Trust Region Methods to Maximize Learning Speed while Maintaining Stability.
• Generalized Advantage Estimator (GAE): Reduces the variance of policy gradient updates and improves training consistency.

4. Deep Learning: Mastering Neural Network Skills

AILIVE uses deep learning to enhance reinforcement learning abilities:

• Policy Network: A neural network that maps states to actions, optimizing the performance of agents in dynamic and unpredictable scenarios.
• Value Network: predicting future rewards to help agents make wise decisions over the long term.
• Skill Transfer: Pre-trained models enable agents to adapt learned skills to new environments, significantly reducing the training time for advanced behaviors.

5 Three.js and Mapbox GL JS: immersive 3D visualization of the open world

AILIVE uses Three.js and Mapbox GL JS to provide a seamless and visually stunning experience:

• Three.js features: realistic rendering, dynamic animations, customizable models supporting a variety of 3D assets.
• Mapbox GL JS features: 3D earth mapping, real-time geospatial data, seamless navigation.

6. Environment Extension: Parallelism and Optimization through Cloud Computing

AILIVE maximizes efficiency by using parallel simulation and distributed training environment:

• Multi-agent training: Multiple agents can be trained simultaneously in different scenarios.
• Cloud Integration: Scalable cloud infrastructure ensures computing power grows with user demand.
• Physical optimization environment: Simulates fine-tuning to reduce computational costs without sacrificing accuracy.

Machine Learning

Artificial Intelligence (AI) is generally considered a broad field, encompassing various methods for creating intelligent systems. Essentially, AI relies heavily on machine learning (ML), which is a subset of AI that allows systems to learn and improve from data without explicit programming. Machine learning is the foundation of modern AI models and agents, enabling them to continually evolve and adapt to new challenges.

Token Economics

$AILIVE token is the core driving force of the Ailive ecosystem, promoting the growth, sustainability, and innovation of the platform.

Token Distribution

• Total Supply: 1,000,000,000 $AILIVE
• Distribution method:

• 7.5% Team Stock: Used to ensure the long-term success and development of the platform, this portion will be locked and released in batches within one year.

• 5% Core Team: Reserved specifically for the core team.

• 2.5% Reward Pool: Used for rewards in the open world.

• 92.5% Fair Distribution: No pre-mining, no special allocation, the vast majority of tokens are distributed directly to the community through Pumpfun’s fair distribution, ensuring that everyone has an equal opportunity.

Team Wallet Lock

The team wallet (holding 7.5%) is locked using Jupiter, which is the wallet with the most tokens. The lock-up period is 6 months, with 50% unlocked quarterly. Technically, it is completely locked within 3 months after issuance. Wallet link:https://solscan.io/account/7X2B4xLd1GDLjbTzGCVVL74CWjo2yBwGPgu5ddz6cxh2

Key Features and Benefits of Holding $AILIVE

1. Accumulated Passive Value:
   30% of each market transaction is used to purchase and permanently lock $AILIVE tokens, which will be verified on the official website. This mechanism continues to exert upward pressure on the token’s value and reduces circulating supply over time.
2. Exclusive feature access:
   Only wallets created by agents holding a specific amount of $AILIVE are eligible to participate in specific events in the open world. Token holders can also have early access to new features, environments and competitions.
3. Governance Rights:
   $AILIVE holders can influence the future of the platform through voting, including new features, market updates, and significant decisions regarding the ecosystem.
4. Competition and Participation in Activities:
   Many high-risk races and tournaments require holding $AILIVE as an entry fee, providing exclusive opportunities to earn rewards.

Long-term vision: Establishing a deflationary economy

30% of each market transaction is used to purchase and lock $AILIVE, ensuring the token remains deflationary.

• Reduced circulation supply: Creating scarcity over time.
• Increased demand: Driving long-term value for holders as the ecosystem grows.

This mechanism combines the success of the platform with the interests of the community to ensure the sustainable development of both parties.

Future Goals

To live is to open source the code repository, to cultivate a culture of transparency, collaboration, and innovation, so that developers, researchers, and enthusiasts can contribute to the Ailive ecosystem and enhance the potential of trainable 3D AI agents.

1. Cooperation:

• Invite developers from around the world to contribute new features, enhancements, and optimizations to the codebase.
• Promote research and development in areas such as facilitating multi-party interaction, skill transfer, and emergency actions.

2. Innovation:

• Encourage the exploration of unique proxy design, training algorithms, and use cases.
• Expand the possibilities of 3D trainable AI agents through community-driven creativity.

3. Transparency:

• Provide comprehensive code visibility to ensure trust and responsibility within the ecosystem.
• Share best practices and insights from the development process to benefit a wider AI and open source community.

Summary

Ailive (AILIVE), as a pioneering project in the fields of cryptocurrency and artificial intelligence, is democratizing machine learning and artificial intelligence through its powerful and intuitive platform, enabling everyone to easily train, understand, and deploy their own 3D AI agents. The project combines advanced technologies such as physics simulation, reinforcement learning, deep learning, and 3D rendering to create a realistic, scalable, and interactive environment, and achieves parallel and optimized environment expansion through cloud computing. The $AILIVE token, as the core driving force of the ecosystem, ensures the growth and sustainability of the platform through unique token distribution and locking mechanisms, while providing holders with benefits such as passive value accumulation, exclusive feature access, and governance rights. Ailive’s long-term vision is to establish a deflationary economy that drives long-term value for holders as the ecosystem grows.