As intent-based transactions become the 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 of achieving AGI (artificial general intelligence), positions them as the Next Big Thing, and sets 2025 as a clear release schedule. Companies such as Microsoft, Facebook, and Google have launched AI agent programs, which not only demonstrate the potential applications of large language models (LLMs), but also reignite the entrepreneurial enthusiasm around LLMs.
Behind the surge in 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 be over $10 trillion that will cover scenarios in daily life, work, social interactions, and financial investments.
Crypto X AI Agents: How Cryptography Is a Key Piece of the AI Agent Puzzle
As a bridge between humans and artificial intelligence, AI agents must address key challenges such as building data identities based on user intent, autonomously performing tasks, personalizing data and model training, interacting with closed APIs, and ensuring data security and privacy. Many of these problems lack solutions in the AI field, but can be solved in conjunction with encryption technology. As Andrej Karpathy, co-founder of OpenAI, said, Ordinary people, entrepreneurs, and technology enthusiasts may have a better advantage in building AI agents than OpenAI.
Binance MVB Season 8 AI Project - Alias: Crypto X AI Agent
Global commercialization data from the AI field shows that there are currently more than 100 projects focusing on AI agent commercialization, and nearly 100,000 developers are building technical frameworks in this field. However, Crypto AI agent projects are still scarce, which reflects both the cautious mentality of crypto entrepreneurs and the technical challenges of implementation.
Unlike many other crypto AI projects, Alias started with user-facing applications and developed the underlying technology within those applications. This approach requires tremendous entrepreneurial courage and reflects the long-term optimism of crypto practitioners and investors. Alias inclusion in Binance MVB Season 8 not only validates the desirability of this approach, but also provides much-needed direction and confidence to the crypto industry. It points out a promising path forward for crypto entrepreneurs aiming to innovate at the intersection of blockchain and AI.
Alias AI Agent Applications and Product Ecosystem
Alias started from the user side and built a Mega-App framework that integrates independent applications, Telegram robots, and Line robots. In todays fiercely competitive crypto industry, breaking the circle is the only viable way forward, and the industrys breaking moment often lies in the innovation of applications and their adoption in the real world.
For example, Bitcoin’s first breakthrough occurred in 2010 when someone bought two pizzas for 10,000 BTC—a moment driven not by the understanding of Bitcoin technology but by its use in payments. This milestone marked the beginning of Bitcoin’s use in payments and laid the foundation for the industry’s growth. And 14 years later, Alias is developing AI agent applications using more mature cryptographic technologies, which may create another breakthrough moment for the crypto industry and open up new growth opportunities.
“AI Agent + Scenario”: Building a Scenario-Based Consumer Product Ecosystem
In order to bring Web2 users into the Web3 ecosystem, the past approach of promoting get-rich-quick myths and complex technical terms is no longer effective. Instead, the focus must shift to scenario-based consumer applications that provide tangible value in different areas such as daily life, work, social interaction, and investment.
Alias aims to build a product partner ecosystem covering five key areas: e-commerce services, emotional social interaction, work assistance, local life services, and decentralized financial investment. From Aliass product demonstration at Binance MVB Season 8 Demoday, it has demonstrated its applications in emotional social interaction, e-commerce ticketing, decentralized financial transactions, etc., which has great potential, and the official launch of the product is highly anticipated.
How Alias AI Agents Commercialize Intention Trading
The commercial potential of AI agents is expected to reach tens of trillions of dollars, marking a major change in the interaction mode and entrance of the Internet. Since ancient times, humans have relied on search as the main way to acquire knowledge and participate in social activities. Even after nearly 60 years of Internet development and 26 years of Googles influence, search is still the mainstream.
However, artificial intelligence technology will completely 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 with keywords. Instead, through simple interactions or even silent commands, AI agents will actively push personalized content, which not only greatly simplifies the process, but also achieves true personalization in meeting needs.
The core of realizing intentional transactions lies in the humanized training and autonomous execution of AI agents. Humanized training includes mining and training personalized user data, emotional understanding and feedback, and memory generation and storage. Autonomous execution of tasks includes building data identities, independent financial accounts, and breaking the closed API ecosystem, ultimately ensuring personalized data security and privacy in the execution environment and building a complete business framework.
Digital identity construction and independent financial accounts
When AI agents reach the third level of AGI, they are not only an extension of the user, but also have active consciousness and become personal assistants. Creating identities and independent financial accounts for AI agents may be exactly what Crypto is good at. In Alias, you can complete registration through email or Web3 wallet, generate an exclusive NFT-based identity for the agent, and generate an independent wallet address for real-life interactions.
Personalized data mining and model training
Personalized AI data mining and model training face many challenges. First, large models optimized based on public data have encountered bottlenecks and lack high-quality personalized data to further improve performance. Second, although large models are smart enough, it is difficult for ordinary users to participate in model training. In addition, the Web2 platform monopolizes user data and restricts cross-platform data flow, which brings about security, privacy, and high cost issues in data sharing.
To address these issues, Alias proposed a new solution based on encryption technology:
Create an AI-driven multifunctional community to meet the diverse needs of users;
Develop personalized AI assistants for users and use IPFS technology to protect data ownership;
Develop AI personalization through the application ecosystem based on user public data to promote data interaction and expand the personal memory database;
Apply deep learning technology to enhance AI’s understanding of users, thereby establishing a personalized emotional connection;
Positioning AI assistants as business intermediaries, supporting user data transactions while protecting privacy;
Finally, Rollup technology is used 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 are eager to simulate human emotional experiences in robots, to achieve deeper emotional interactions between AI and humans, and even independent emotional thinking.
Alias uses psychologist Robert Plutchiks emotion wheel design to classify emotions, turning AI agents into data organisms with stronger emotional characteristics. First, AI agents identify emotions by observing user behavior and match implicit traits (emotions) with explicit behaviors. Next, through key emotion model training, AI agents learn to understand and perceive the users emotional state and resonate with it. Finally, based on the historical information stored in the memory bank, AI agents provide personalized feedback that meets the users emotional needs.
AI Data Link: Breaking Data Silos and Ensuring Security and Privacy
With the development of artificial intelligence, especially towards general artificial intelligence (AGI), the demand for massive, high-quality, personalized data has become critical. Richer, highly personalized personal data is now considered the most valuable resource in the era of artificial intelligence. However, in the Web 2.0 platform economy, personal data is controlled by the platform, stored in isolation, and used to generate commercial value, while users receive almost no compensation.
Alias solves this problem by building an AI data chain and market on Binance Smart Chain (BSC), breaking the barriers of a closed data environment. It verifies the value of linked data through personal data ownership. The users personalized data, such as memory library data, is stored through IPFS. After being processed by a large model, the data is recorded on the AI data chain on BSC in the form of behavioral data tags. The results of personalized data model training are managed by the users AI agent. During market transactions, buyers ask questions and AI agents mediate to provide model-generated outputs, ensuring the security and ownership of data.
Aliass future vision
Alias is committed to driving social progress by solving real-world challenges through innovative solutions. In this vision, the crypto industry plays a vital role in addressing key issues such as data ownership, privacy, and personalization, especially with the integration of artificial intelligence technologies.
Alias is committed to revolutionizing context-based consumer applications by introducing a personal digital AI agent. This AI agent will have advanced intelligence and emotional awareness, seamlessly integrating into the users daily life. It will provide emotional support, understand personal needs, and assist with tasks such as social interactions and financial management. At the core of this vision is Alias commitment to ensuring users have full control over their data, privacy, and interactions, providing a secure, personalized, and empowering experience.
