聚焦Binance MVB第8季项目Alias:融合加密技术的AI代理创新

As intent-based transactions become a new form of internet entry, tech giants are doubling down on AI agents.

As a leader in the AI industry, OpenAI classifies AI agents as the third level in achieving AGI (General Artificial Intelligence), positioning them as the 'Next Big Thing' and setting 2025 as a clear timeline for release. Companies like Microsoft, Facebook, and Google have launched AI agent programs that not only showcase the potential applications of large language models (LLMs) but also reignite entrepreneurial enthusiasm surrounding LLMs.

Behind the surge of interest from these tech giants is the emergence of a new form of internet entry, evolving from search engines to intent-based transactions — a market estimated to exceed $10 trillion, covering scenarios in daily life, work, social interactions, and financial investments.

Crypto X AI Agent: How Crypto Becomes a Key Part of the AI Agent Puzzle

AI agents, as a bridge between humans and artificial intelligence, must tackle key challenges such as building data identities based on user intent, autonomously executing tasks, personalized data and model training, interacting with closed APIs, and ensuring data security and privacy. Many of these issues lack solutions in the AI field but can be addressed in conjunction with crypto technology. As OpenAI co-founder Andrej Karpathy stated, 'Ordinary people, entrepreneurs, and tech enthusiasts may have advantages in building AI agents over OpenAI.'

Binance MVB Season 8 AI Project - Alias: Crypto X AI Agent

Global commercialization data from the AI field shows that over 100 projects worldwide focus on the commercialization of AI agents, with nearly 100,000 developers building technical frameworks in this area. However, Crypto AI agent projects remain scarce, reflecting both the cautious mindset of crypto entrepreneurs and the technical challenges of implementation.

Unlike many other crypto AI projects, Alias starts with user-facing applications and develops foundational technology within these applications. This approach requires significant entrepreneurial courage, reflecting the long-term optimism of crypto practitioners and investors. Alias's inclusion in Binance MVB Season 8 not only validates the viability of this approach but also provides the crypto industry with the direction and confidence it urgently needs. It points out a hopeful path forward for crypto entrepreneurs aiming to innovate at the intersection of blockchain and AI.

Alias AI Agent Application and Product Ecosystem

Alias starts from the user end, establishing a Mega-App framework that integrates independent applications, Telegram bots, and Line bots. In today's highly competitive crypto industry, breaking through is the only viable path forward, and the industry's breakout moments often hinge on application innovation and adoption in the real world.

For example, Bitcoin's first breakout occurred in 2010 when someone purchased two pizzas for 10,000 BTC — this moment was driven not by an understanding of Bitcoin technology but by its application in payments. This milestone marked the beginning of Bitcoin's application in payments, laying the foundation for the industry's development. Fourteen years later, Alias is leveraging more mature crypto technology to develop AI agent applications, which may create another breakout moment for the crypto industry and open up new growth opportunities.

"AI Agent + Scenario": Building a scenario-based consumer product ecosystem

To bring Web2 users into the Web3 ecosystem, the past approach of promoting get-rich-quick myths and complex technical jargon is no longer effective. Instead, the focus must shift to scenario-based consumer applications that provide tangible value in daily life, work, social interactions, and investment.

Alias aims to establish a product partner ecosystem covering five key areas: e-commerce services, emotional social interactions, work assistance, local life services, and decentralized financial investment. From Alias's product demonstration at Binance MVB Season 8 Demo Day, it has already showcased applications in emotional social interaction, e-commerce ticketing, and decentralized financial transactions, demonstrating significant potential, with the official product launch highly anticipated.

How Alias AI Agents Commercialize Intent Transactions

The commercial potential of AI agents is expected to reach hundreds of trillions of dollars, marking a significant transformation in internet interaction models and entry points. Since ancient times, humanity has relied on search as the primary means of acquiring knowledge and engaging socially. Even after nearly 60 years of internet development and Google's 26 years of influence, search remains mainstream.

However, artificial intelligence technology will fundamentally change this model. By accurately identifying user intent, AI can quickly provide results that meet needs. In the future, users will no longer need to repeatedly search for public data using keywords, but rather through simple interactions or even silent commands, AI agents will proactively push personalized content, greatly simplifying the process and achieving true personalization in meeting needs.

The core of achieving intent transactions lies in the humanized training of AI agents and their autonomous task execution. Humanized training includes mining and training personalized user data, emotional understanding and feedback, as well as the generation and storage of memories. Autonomous task execution includes constructing data identities, independent financial accounts, and breaking down closed API ecosystems, ultimately ensuring personalized data security and privacy in the execution environment, and building a complete business framework.

Data identity construction and independent financial accounts

When AI agents reach the third level of AGI, they not only extend the user but also possess proactive awareness, becoming personal assistants. Creating identities and independent financial accounts for AI agents may be what Crypto excels at. In Alias, registration can be completed via email or Web3 wallet, generating an NFT-based exclusive identity for agents and creating independent wallet addresses for real-life interactions.

Personalized data mining and model training

Personalized AI data mining and model training face numerous challenges. First, large models optimized based on public data have encountered bottlenecks, lacking high-quality personalized data to further enhance performance. Second, although large models are sufficiently intelligent, ordinary users find it difficult to participate in model training. Additionally, Web2 platforms monopolize user data, restricting cross-platform data flow, leading to issues of data sharing security, privacy, and high costs.

In response to these issues, Alias proposes a new solution based on crypto technology:

  • Creating an AI-driven multifunctional community to meet users' diverse needs;

  • Developing personalized AI assistants for users, utilizing IPFS technology to ensure data ownership;

  • Developing AI personalization based on users' public data through an application ecosystem to facilitate data interaction and expand personal memory databases;

  • Applying deep learning techniques to enhance AI's understanding of users, thereby establishing personalized emotional connections;

  • Positioning AI assistants as business intermediaries, supporting user data transactions while ensuring privacy;

  • Finally, utilizing Rollup technology to verify data ownership and unlock the commercial value of data.

Emotional connection and memory storage

Memory and emotion are among the highest values bestowed upon human civilization by the Creator. Countless thinkers and AI developers aspire to simulate human emotional experiences in robots, achieving deeper emotional interactions between AI and humans, and even independent emotional thinking.

Alias uses psychologist Robert Plutchik's emotion wheel design for emotional classification, transforming AI agents into data life forms with stronger emotional characteristics. First, AI agents identify emotions by observing user behavior, matching implicit traits (emotions) with explicit behaviors. Next, through key emotional model training, AI agents learn to understand and perceive users' emotional states, generating resonance. Finally, based on historical information stored in the memory bank, AI agents provide personalized feedback that meets users' emotional needs.

AI Data Chain: Breaking down data silos and ensuring security and privacy

With the development of artificial intelligence, especially the move towards General Artificial Intelligence (AGI), the demand for massive, high-quality, personalized data has become critical. More enriched, highly personalized personal data is now regarded as the most valuable resource in the era of artificial intelligence. However, in the Web 2.0 platform economy, personal data is controlled by platforms, isolated, and used to generate commercial value, with users receiving almost no compensation.

Alias addresses this issue by building an AI data chain and marketplace on the Binance Smart Chain (BSC), breaking the barriers of closed data environments. It verifies data value through personal data ownership. Users' personalized data, such as memory bank data, is stored via IPFS. After processing by large models, data is recorded on the AI data chain on BSC in the form of behavioral data labels. The results of personalized data model training are managed by the user's AI agent. During market transactions, buyers pose questions, and the AI agent mediates to provide model-generated outputs, ensuring data security and ownership.

Alias's Future Vision

Alias is committed to addressing real-world challenges through innovative solutions, thereby promoting social progress. In this vision, the crypto industry plays a crucial role in resolving key issues such as data ownership, privacy, and personalization, especially in the integration of artificial intelligence technologies.

Alias is dedicated to revolutionizing scenario-based consumer applications by introducing personal digital AI agents. This AI agent will possess advanced intelligence and emotional awareness, seamlessly integrating into users' daily lives. It will provide emotional support, understand individual needs, and assist in tasks such as social interactions and financial management. At the core of this vision is Alias's commitment to ensuring users have complete control over their data, privacy, and interactions, providing a secure, personalized, and empowering experience.