AI Sweeping Web3, TrendX May Stand Out

As of October 6th, the data statistics for TrendX platform BTC, ETH, and TON are as follows:

The discussion volume of BTC last week was 12.51K, a decrease of 2.6% from the previous week, and the price last Sunday was $63,506, a decrease of 2.02% from $62,339 the previous Sunday;

The discussion volume of ETH last week was 3.55K, a decrease of 5.56% from the previous week, and the price last Sunday was $2,647, a decrease of 2.23% from $2,429 the previous Sunday;

The discussion volume of TON last week was 844K, a decrease of 24.78% from the previous week, and the price last Sunday was $5.19, a decrease of 2.7% from the previous Sunday;

Humanity is about to enter the era of superintelligent AI. The influence of AI is reaching every corner, including Web3. At the recently concluded Token2049 event in Singapore, AI (artificial intelligence) became the absolute focus. According to statistics, AI-related topics and speeches accounted for more than half of the entire summit, as if AI is sweeping the entire Web3 world with unstoppable force. So, will the main battlefield of Web3 and cryptocurrencies be All in AI? Can the combination of AI and blockchain bring new opportunities to the industry? What are the noteworthy projects in the current Web3 and AI integration sector?

AI Sweeping Web3: New Industry Trends

"Thousands of days later, humanity will usher in the era of superintelligent AI." OpenAI's CEO Sam Altman is full of optimistic expectations for the future narrative of AI. In fact, if we calculate the PE of the current AI leader NVIDIA, we will find that its index is only 56.26, which is far from the thousandfold PE of Cisco during the 2000 Internet bubble period. This also reflects that NVIDIA and the AI concept still have huge development space.

The strength of the AI concept is not only reflected in the traditional financial field, but even in the Web3 field, it seems to have become a consensus. The meme trend comes and goes, GameFi, NFT is almost extinct, and the large infrastructure is still struggling with financing...

Only Web3 projects with the AI concept still have vitality. For example, Sahara AI, dedicated to optimizing computing power, has received a $43 million seed round financing led by A16Z; the open-source AI platform Pin AI also recently received a $10 million pre-seed financing. In the current environment, only AI can still receive favor from institutions and exchanges. According to Coinmarketcap data, the current market value of the AI & Big data sector is around $38.2 billion, and the prospects are still very broad.

In addition, AI has reached every corner of Web3. For example, multiple projects have demonstrated how to apply AI technology to smart contract automation on the blockchain, intelligent recommendation algorithms in the NFT market, and intelligent risk control systems in decentralized finance. In addition, there are also injections of AI-based FHE homomorphic encryption, The Scaling AI Summit, and AI model conferences based on Google Cloud, and so on. All of this seems to indicate that AI is becoming the core technology of the blockchain world. Almost everyone, whether Web3 entrepreneurs, investors, or traditional blockchain companies, is considering how to use AI to enhance competitiveness and even reshape the industry landscape.

Why AI has become the focus of Web3?

To understand why AI can occupy such an important position in Web3, we need to analyze the complementarity between AI and blockchain technology in depth.

Data processing and intelligent decision-making: Although blockchain has the advantages of decentralization and transparency, it is relatively basic in data processing and analysis. AI, on the other hand, excels in handling massive amounts of data and can help blockchain networks execute complex tasks more intelligently. For example, smart contracts can automatically identify potential attack risks through AI algorithms, reducing the likelihood of exploitation of vulnerabilities; AI can also use deep learning models to make market predictions in decentralized finance (DeFi), optimizing asset allocation.

Improving user experience: Currently, the user experience of Web3 is widely criticized, and the complexity of many blockchain products discourages ordinary users. AI technology can simplify user operations through intelligent assistants, natural language processing, and other methods. For example, users can easily complete complex on-chain operations through conversational interaction with AI assistants, improving the overall user experience.

AI and decentralized governance: Decentralized autonomous organizations (DAOs) are considered a new paradigm for future organizational management, and AI can improve the decision-making efficiency of DAOs. Through AI algorithms, DAOs can more accurately analyze community opinions, intelligently adjust decision-making processes, and ensure transparent and efficient community governance.

TrendX has the most user-friendly project dashboard

The advantages of the combination of AI and Web3 are reflected in a project like TrendX.

TrendX is a one-stop platform that helps users find investment opportunities through AI and big data technology. Since its establishment in 2022, TrendX has processed over 20TB of on-chain and off-chain data, analyzing real-time investment opportunities from billions of data dynamics, adhering to the concept of 'change is opportunity,' and providing investment advice to users through intuitive interaction. It is the most cutting-edge Web3+AI application ecosystem.

One of the most commendable features of TrendX is the project dashboard based on massive data. Whether it's the homepage's project rankings based on popular topics, influence, net inflows and outflows, or the project list page's rankings in different tracks and dimensions, users can find all the information about the target project according to their needs, including heat value, real-time market sentiment, social media discussions, and coin price trends.

Moreover, on the project details page, the dashboard provides further details about the project, including KOL opinions, investment and financing information, related news, community evaluations, and TrendX's professional AI tools to help users summarize. It can be said that TrendX has achieved an integrated one-stop project search and information platform.

In addition, TrendX has gathered over 60,000 KOLs in the Web3 industry, who share real-time industry dynamics and the latest information, providing reliable information sources for users. By aggregating a large amount of KOL information, TrendX has set up filtering settings based on multiple dimensions such as tracks, projects, KOL categories, and languages, enriching the platform's content and helping users make more accurate judgments in complex market environments. It is also very user-friendly for Web2 users, allowing new users to quickly enter the circle and find corresponding KOLs and understand the most native information.

Furthermore, TrendX's intelligent investment tools, through the introduction of AI technology, enable users to extract valuable data from complex market information and convert it into effective investment decisions. This technology-driven investment method greatly improves user investment efficiency, reduces investment risks, and has earned TrendX a good reputation in the market.

Since May 2022, TrendX has attracted over 270,000 Web3 users to bind their wallets, reflecting that the platform provides users with the tools and services they actually need. The scale of TrendX's database is also continuously expanding, reaching a level of over 1 billion, covering on-chain transactions, tweet data capture and analysis, and other dimensions. The continuous accumulation and optimization of this data give TrendX a unique advantage in market analysis and user services, making TrendX the closest to achieving Web3 Mass Adoption.

AI and TrendX: Solving the Computing Power Bottleneck

As a representative project in the Web3 field, TrendX will certainly not be absent from this wave of AI. Unlike many projects chasing hotspots, TrendX has always focused on long-term innovation and product quality rather than short-term profits. TrendX is exploring how to integrate AI technology with its long-term development strategy. More importantly, TrendX is committed to solving the current barriers to the combination of Web3 and AI.

With the rapid development of AI technology, the construction of the AI hardware ecosystem has become an important part of driving industry progress. Although the application and model development of AI are relatively mature today, computing power remains one of the core bottlenecks in the AI field. Just as the technological threshold of the automotive era lies in the internal combustion engine and the threshold of electric vehicles lies in the battery, the bottleneck of AI is concentrated in the acquisition and allocation of computing resources.

Today, although the threshold for AI models and applications has been greatly reduced, computing power remains a key obstacle to the large-scale application of AI. The traditional centralized computing power model, due to high costs and uneven resource allocation, restricts the further popularization of AI technology. To truly break through this bottleneck, a distributed computing power network has become the ideal solution.

The emergence of distributed computing power networks makes the acquisition of computing resources more efficient and cost-effective. Through distributed networks, anyone can easily obtain sufficient computing power support without relying on the monopoly resources of large tech companies. For example, through the Owlbot feature, users only need to pay $500 to obtain the required distributed computing power resources on the TrendX platform, while also earning returns. This smooth and operable business model solves the computing power bottleneck and paves the way for the large-scale application of AI.

The breakthrough of the computing power problem will become a new growth point for the AI industry. With the popularization of distributed computing power, the AI hardware ecosystem will become more open, and users will no longer need to worry about obtaining computing power. AI technology will be more widely applied in various industries, driving further development and innovation in the entire industry.

Research Data

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