Before entering the Web world, human activities were difficult to digitize, and global productivity and value connections were inefficient. The birth of the Web world changed everything.
The Web world refers to the vast virtual space that constitutes the global Internet, including billions of web pages, applications, and services that are interconnected and interact with each other through Internet technologies and protocols. In the Web era, as ordinary users, we are constantly generating behavioral data. These data are aggregated and realized in different dimensions by various developers, resulting in efficient and convenient services for users. However, users' data is also exploited for surplus value. LinkLayerAI aims to explore and implement how to measure the value of each user's behavioral data.
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LinkLayerAI: Catalyst for changing the Web world
The continuous matching of productivity and production relations is a common problem faced by the traditional world and the Web world. For thousands of years, humans have proposed various solutions based on collectivism, but the results have still come with many problems. The advent of the Web world has greatly promoted the development of productivity, but the outdated production relations have failed to keep up, resulting in an increasing wealth gap. The popularization of AI applications has further exacerbated this problem.
Since Satoshi Nakamoto proposed the decentralized logic of BTC and went through years of verification, it seemed that a new solution to the production relations problem had been found. However, at the same time, we discovered that the division caused by consensus led to severe polarization and imbalance, with only a small fraction of people participating and understanding, while the majority could not comprehend or join in.
In the context of WebData+Blockchain+AI, LinkLayerAI will combine a complete set of solutions to attempt to solve the matching problem that has existed for thousands of years. Firstly, LinkLayerAI believes that wherever data exists, it is based on human production activities. For example, public domain media like Twitter, Reddit, and TikTok, private domain media like Telegram, Discord, and Line, as well as people's payment and asset data, all form data graphs under the supply-demand relationship. They can be seen as different layers, but the value of these layers is relatively fragmented, especially in cross-dimensions. LinkLayerAI acts as a catalyst, using the decentralized equity attributes of Web3 to connect these layers, aggregate and establish value rights for data in different dimensions, and use AI to intelligently process these aggregated data strings to achieve more efficient monetization. This may sound crazy, but it will be meaningful and valuable, benefiting everyone involved.
Driving the value connection of public and private domain data in Web2
Firstly, Web2 data itself suffers from value fragmentation, making it difficult to effectively connect public and private domain data. This is essentially the data barriers established by various Internet products, as each wants to leverage its own derived data for commercial profit, similar to how each hospital's medical reports cannot be shared. The most significant feature of Web3 is the connection of all users' data and value through trusted equity proofs. When users use the infrastructure, they should also benefit from it. Therefore, data barriers do not exist in Web3. However, merely serving Web3 is not enough. When these trusted equities are flexibly applied to products, they will achieve effective value connection between public and private data. LinkLayerAI will first attempt to validate this concept by connecting the value of Twitter and Telegram.
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Achieving the monetization of multidimensional Web data in Web3
When multidimensional Web data (Web1+Web2+Web3) is aggregated through Web3 incentives, it is already a breakthrough in data value. After standardizing the aggregation data through data monetization protocols on the blockchain, the establishment of the relationship between calling and being called for aggregated data becomes the foundation. The “stock equity” attributes of tokens will empower and circulate the value of this data to the maximum extent possible, and the users who own the data should be the greatest beneficiaries. Achieving a win-win situation for all stakeholders is the greatest value of LinkLayerAI.
Intelligentizing and monetizing data through AI agents
At the data structure level, traditional data labeling methods can only provide customized categorization for data and cannot achieve data intelligence. For example, a highly knowledgeable brain in technology and operations will undoubtedly have a more reasonable understanding and response to structured data. Mature large-scale language models possess the foundation of a smarter brain. Agents will serve as refined brain processing middleware to help achieve the improvement from standard data to intelligent data, thus elevating the value of data to a higher dimension.
Data calling methods: most data protocol calls are implemented through APIs, which is a significant hurdle for many operational teams. It is difficult to achieve batch value data acquisition without technical personnel. Agents will ultimately simplify all calling steps and directly achieve intelligent data calls through conversation.
Demand-side incremental market: The combination of the two levels mentioned above will drive the incremental market for data buyers, expanding both the richness of data and the convenience of data acquisition. This will contribute to the expansion of the global data trading market.
Monetize your own web data in Web3 with an AI Agent
This shouldn't be just a slogan or a headline, it should be a use case realized for every user worldwide. LinkLayerAI will strive to achieve the right things based on the correct logic, bringing new value to everyone and driving and changing the world's development. So let's all take action and strive for the value of our own data!
Website:https://www.linklayer.ai/
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