As intent-based trading becomes 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 layer in achieving AGI (Artificial General Intelligence), positioning them as the "Next Big Thing," with a clear timeline set for 2025. 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 around 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 trading—a market estimated to exceed $100 trillion, covering scenarios in daily life, work, social interactions, and financial investments.
Crypto X AI Agents: How Crypto Becomes a Key Part of the AI Agent Puzzle
AI agents serve as a bridge between humans and artificial intelligence, facing key challenges such as building data identities based on user intent, autonomously executing tasks, personalizing 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 by integrating cryptographic technology. As OpenAI co-founder Andrej Karpathy stated, "Ordinary people, entrepreneurs, and tech enthusiasts may have an advantage over OpenAI in building AI agents."
Binance MVB Season 8 AI Project—Alias: Crypto X AI Agent
Global commercialization data from the AI field shows that there are currently over 100 projects worldwide focusing on the commercialization of AI agents, with nearly 100,000 developers building technological 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 immense entrepreneurial courage, reflecting the long-term optimism of crypto practitioners and investors. Being included in Binance MVB Season 8 not only validates the feasibility of this approach but also provides the crypto industry with much-needed direction and confidence. It points to a hopeful path forward for crypto entrepreneurs aiming to innovate at the intersection of blockchain and AI.
Alias AI Agent Applications and Product Ecosystem
Alias begins at the user end, establishing a Mega-App framework that integrates standalone applications, Telegram bots, and Line bots. In today's fiercely competitive crypto industry, breaking out of the niche is the only viable path forward, and the industry's breakout moments often hinge on application innovation and real-world adoption.
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 developing AI agent applications using more mature cryptographic technology, which could create another breakout moment for the crypto industry and open up new growth opportunities.
"AI Agent + Scenarios": Building a Scenario-Based Consumer Product Ecosystem
To bring Web2 users into the Web3 ecosystem, past methods of promoting get-rich-quick myths and complex technical jargon are no longer effective. Instead, the focus must shift to scenario-based consumer applications that provide tangible value across different areas such as daily life, work, social interactions, and investments.
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 investments. From Alias's product demonstration at Binance MVB Season 8 Demo Day, it has already showcased applications in emotional social interactions, e-commerce ticketing, and decentralized financial transactions, showing great potential, with the official product launch highly anticipated.
### How Alias AI Agent Commercializes Intent Trading
The commercial potential of AI agents is expected to reach trillions of dollars, marking a significant transformation in internet interaction models and entry points. Since ancient times, humans have 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 public data with keywords; instead, 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 trading lies in the humanized training of AI agents and their ability to autonomously execute tasks. Humanized training includes mining and training personalized user data, emotional understanding and feedback, and the generation and storage of memories. Autonomous task execution includes building data identities, independent financial accounts, and breaking through closed API ecosystems, ultimately ensuring the security and privacy of personalized data in the execution environment, constructing a complete commercial 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 a strength of Crypto. In Alias, registration can be completed via email or Web3 wallet, generating an NFT-based exclusive identity for the agent and creating an independent wallet address 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, while large models are intelligent enough, 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.
To address these issues, Alias proposes a new solution based on cryptographic technology:
Build an AI-driven multifunctional community to meet diverse user needs;
Develop personalized AI assistants for users, utilizing IPFS technology to ensure data ownership;
Develop AI personalization based on users' public data through an application ecosystem to facilitate data interaction and expand personal memory databases;
Apply deep learning technology to enhance AI's understanding of users, thereby establishing personalized emotional connections;
Position AI assistants as commercial intermediaries, supporting user data transactions while ensuring privacy;
Finally, utilize 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 adopts 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, Ensuring Security and Privacy
With the development of artificial intelligence, especially the move towards Artificial General Intelligence (AGI), the demand for vast, high-quality, personalized data has become crucial. More abundant and highly personalized personal data is now considered the most valuable resource in the AI era. However, in the Web 2.0 platform economy, personal data is controlled, isolated, and used by platforms to generate commercial value, with users receiving little to no compensation.
Alias addresses this issue by building an AI data chain and marketplace on the Binance Smart Chain (BSC), breaking down the barriers of closed data environments. It verifies the value of linked data 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 AI agents mediate to provide model-generated outputs, ensuring data security and ownership.
### Alias's Future Vision
Alias is committed to solving real-world challenges through innovative solutions, thereby driving social progress. In this vision, the crypto industry plays a crucial role in addressing key issues such as data ownership, privacy, and personalization, especially in the integration of artificial intelligence technology.
Alias aims to revolutionize 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.
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