Interpretation of the new AI agent player Talus: How can the 'old and new combinations' differentiate themselves?

Author: 1912212. eth, Foresight News

Needless to say, the craze of combining AI and Crypto is divided into computing, data analysis, agency and other segments. Many projects have emerged on each track, and many targets have also performed brilliantly in the secondary market. But the protagonist we introduce today is Talus, the leading AI agent player. At the end of February this year, Talus Network completed US$3 million in financing, led by Polychain Capital and participated by dao5 and others.

The co-founder of Delphi Labs recently said that AI agents will drive the next wave of cryptocurrency adoption. It will become more and more advanced, and more and more users will use it to manage their financial lives. This trend is similar to when people transitioned from physical banks to online banking.

On the occasion of the official release of the white paper, Foresight News will take you to understand Talus, a new AI agent player.

What is an AI agent?

There are many hot-button concept products on the market, so how to identify real AI agents? In short, it uses AI technology to automate tasks to help users. Its characteristics mainly include automation capabilities, perception of the environment, decision-making, learning and adaptation, and interactivity.

It is worth noting that among the above characteristics, "initiative" is the most critical and is also the core logic for understanding AI agents. In contrast, blockchain smart contracts can only be executed passively and have no active functions.

According to Space and Time’s Lianchuang image metaphor, cryptocurrency is like cash, blockchain is like a cash register, DApp is like a POS machine, and AI agents are like cashiers.

Talus: AI public chain platform based on Move

Talus is an AI public chain platform based on Move language. High-performance and optimized for AI use cases, allowing AI agents to interact and transact in the system. Talus participants can build a new economy of AI applications from a common protocol of accessible resources.

Talus’ AI agent can achieve functional support and optimization in multiple areas. For example, it can provide wallet analysis tools, monitor transaction status in real time, and improve user asset management experience. In the DeFi field, it can also optimize liquidity management, automate on-chain investment portfolios, improve its capital efficiency and returns, and also support DAO's automated asset management and governance decisions.

The above areas are only part of its applications. Talus’s AI agent function has its own benefits whether you are an ordinary user or a researcher, a programmer or a project manager. Useful place.

New and old combinations in the architecture

Talus' layered architecture is mainly classified into two aspects. One is to select better components from the same kind, and the other is to develop and innovate from scratch.

In terms of the bottom protocol layer, Protochain is the POS node code of Talus and is mainly supported by Cosmos SDK and CometBFT. Cosmos SDK has proven to be flexible, powerful and High performance, and together with CometBFT provides a secure and scalable solution. In addition, the strategic decision to use Sui Move as a smart contract language is based on its high-performance features, security and programming attributes, including maintaining good on-chain logical security, object model and high performance. Reliability and flexibility.

Talus also expressed the benefits of choosing the Cosmos SDK, such as IBC, which can enhance the functions of AI agents in multiple dimensions, such as interoperability, cross-chain atomicity, scalability through sharding, and security and Isolation etc.

Above the protocol layer is the mirror object. The name may sound difficult to understand, but as the name suggests, you will understand immediately. It is an off-chain representation of the world on the chain, which is equivalent to mirror projection.

Mirror objects act as a link between resource-intensive AI operations and the on-chain environment, since performing AI calculations directly on-chain is not feasible due to computational intensity. Generally speaking, the main basic functions of mirror objects in operation include resource uniqueness representation, off-chain resource tradability, ownership representation and verifiability.

Above the mirror object is the AI ​​stack, which is mainly used to create intelligent agents for Talus using Talus' SDK to integrate off-chain components and integrate resources and oracles. Talus SDK consists of several libraries as well as data models and ready-made smart contracts that can be used to build intelligent agents. Talus AI Stack helps intelligent agent developers seamlessly access necessary off-chain resources.

In the entire architecture design, at the forefront is the intelligent agent, which is designed to perform specific tasks or make decisions on behalf of the user. It is equipped with AI capabilities that enable them to sense the environment, analyze information and take appropriate actions to achieve predefined goals.

Token Function

The token Talus will launch is TAI, and its main functions include the use of intelligent agents, resource purchase and transactions, security and consensus network staking, and governance. Resource providers earn TAI for their contributions to the network in computation, data, or models, and for developers, TAI tokens simplify access to these resources, enabling project scaling.

The token functions of T AI are not much different from those of other AI products, but the specific details will have to wait for the official launch in the future.

Specific Use Cases

Portfolio Management

Talus can perform intelligent portfolio management for users with less cost, effort, and effort than a human much less trust. Guide an intelligent agent to understand your investment goals and risk tolerance, and it will make calculated decisions to rebalance your portfolio, optimize and diversify investments, and identify new opportunities.

Smart Oracle

Smart agents can be used as smart oracles to transmit price data off-chain. It is especially valuable for items that are illiquid and difficult to price, such as watches, collectible cards, or real estate. On-chain intelligent agents can automatically analyze the market and determine valuations in a decentralized, trustless manner.

Natural Language User Experience

AI models can use natural language processing to understand user intent and execute intelligently based on context, market analysis, user goals and risk aversion they. These can range from simple requests like "Buy $100 in Bitcoin at the best price this week" to complex tasks like "Rebalance my portfolio to take advantage of the meme coin bull market."

AI Enhanced Insurance

Intelligent agents can automate a large number of insurance operations. These include managing policies in open smart contracts, collecting premiums and distributing payments from decentralized vaults, assessing claims, detecting fraud and actuarial calculations.

Smart Wallet

Smart agents can be built into wallets, making them more powerful and autonomous. The wallet can learn about activity to automate scheduling, making and requesting payments as needed. Intelligent agents can proactively and intelligently monitor for fraud, reject incoming scams, and identify suspicious activity.

Decentralized Credit Scoring

Intelligent agents with access to on-chain data can accurately and fairly assess creditworthiness. Rates and payment schedules can also be adjusted in real-time to account for changing balances and financial activity. The result is a transparent, verifiable system.

On-chain fund management

Significantly reduce fund fees through intelligent agent managers. You can allocate assets, monitor markets, perform sentiment analysis, and read white papers and reports. Intelligent agents can even be trained to become experts in specific industries, markets and projects. The result is widespread access to more powerful investment strategies.

Optimizing MEV

Intelligent agents embedded in order books and pools will restructure how trades are sorted and processed. AI can intelligently predict future block values, which is much more powerful than today’s simulation-based methods. This enables MEV strategies to maximize the value of ecosystems while minimizing exploitation and negative outcomes for individuals.

Trade Optimization

Intelligent agents can automate trade routing in a more dynamic way than existing bots. User- or DEX-owned intelligent agents can analyze exchange paths in real-time to optimize lower fees and higher returns for individuals and the ecosystem.

Content Moderation

Intelligent agents can perform tedious content moderation work for decentralized social networks. They can monitor AI-generated content, spam, scams, and abuse in real time. The combination of on-chain posts, accounts, and moderation means a more fair and open future for literate internet.

Continuous Auditing

Auditing is currently an underperforming, time-consuming and costly process prone to human error. Intelligent agents trained in software principles and project goals can perform continuous monitoring of smart contracts and code to detect new weaknesses and unexpected changes. It can even react to new vulnerabilities in other projects to identify and fix them.

Playtesting

A key aspect of game development is playtesting, where players demo the game to identify flaws. This process can be automated, speeded up, and cost reduced through intelligent agent players. They can even be customized to represent various skill levels, language fluency, and incentives to make better games.

Summary

In the heavily involved AI track, how does Talus differentiate itself and become unique in the track? Ecology, community, and technology are all topics that can be discussed. The timing and intensity of incentives, cooperation with brands, and boundary expansion will all be key to Talus's influence.

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