Original title: "ABC Alpha Seed Project Express No.17-Open Ledger"

Original author: ABC Alpha Researcher

Project Name: Open Ledger

Project Positioning: Blockchain Network with dedicated AI Language Model SLM

Project highlights: In the dedicated language model track, blockchain technology is cleverly used to solve problems such as AI data crawling, rights confirmation and incentives. It truly exerts the value of blockchain.

Financing situation: Seed round financing of US$8 million, led by institutions such as Polychain

Participation method: No TGE yet, currently you can use computers to participate in the test network mining incentives

The following is a detailed explanation of the project:

1. What is OpenLedger?

In short, @OpenledgerHQ is a decentralized network that combines AI and blockchain technology. Its core goal is to build a decentralized AI ecosystem so that everyone can contribute data fairly, develop AI models, and make money from it.

Here are several key roles: dedicated data contributor, dedicated AI model developer, Open Ledger, dedicated AI applications.

I particularly emphasize the word "special" for these four characters, which is the core of Opne Ledger. Opne Ledger does not build a general AI large language model like Open AI, but builds a dedicated AI language model, that is, SLM. That is, data is dedicated, and AI models are trained using dedicated data.

Opne Ledger is based on a dedicated data network (Datanets) to absorb, clean and convert it into available data, making it available to dedicated AI model developers. Opne Ledger is an attribution proof mechanism built on blockchain technology, which can distinguish the source of data and confirm the right of these data to the identity of the specific data provider. Therefore, Opne Ledger can clearly know that certain special data is contributed by certain specific users, so that rights confirmation and incentives are completed based on blockchain.

OpenLedger particularly emphasizes a concept called "Payable AI" (payable AI), which means that AI models can not only be used, but also automatically distribute money to data providers and model developers based on their contributions. Imagine you are a photographer who took a lot of beautiful photos of beautiful girls. You upload these photos to OpenLedger, and the AI ​​developer trains a beauty AI model that generates art with your photos. Every time someone uses this AI to generate a portrait of a beautiful woman, OpenLedger can track your photos and then automatically give you some profits. This is the core of Payable AI and the core operating logic of Opne Ledger. This logic does not apply to general-purpose large language models, but blockchain plays a huge role in the SLM, that is, the dedicated language model track, and OpenLedger is the general platform of the SLM track.

2. How OpenLedger works

In order to more clearly explain the operating principle of OpenLedger, we will break up several professional terms involved in OpenLedger and explain it clearly in vernacular language, and explain the role of blockchain in each sector.

OpenLedger operation can be divided into several key parts:

(1) Data source: Datanets (data network)

OpenLedger relies on something called Datanets to collect data.

Datanets are like specialized data markets, each targeting a certain field, such as medical data, music creation, social media content, etc. Anyone (individual, company, expert) can upload their own data to Datanets.

For example, if you are a doctor, you can upload some anonymous case data; or if you are a programmer, you can upload code snippets. These data will be sorted and cleaned and become "raw materials" for AI training.

Blockchain is like a super transparent ledger here. Every time someone uploads data, the blockchain will record it: who uploads what, how many times the data has been used. In this way, no one can change the data secretly, and no one can rely on the debt and say that your data is useless.

For example, Bob is a game anchor who uploads his live streaming clip to OpenLedger's "Game Datanet". A company used these clips to train an AI that can automatically generate game commentary videos. The fragments that the blockchain records Bob are used 100 times, and Bob can get paid based on the number of uses.

(2) Proof of Attribution

This is the core technology of OpenLedger, which translates into plain language to "prove who contributes what". It can track every output of the AI ​​model and figure out which data is used and whose contributions are made.

When an AI model generates a result (such as an article or an image), OpenLedger analyzes which data sources the result depends on and then assigns the credit to the corresponding contributor. For example, AI wrote a song, and the system can find out that it references Peter's melody and Mary's lyrics, and then automatically distributes them. Blockchain ensures that this "credit distribution" process is transparent and tamper-free. All contribution records are written on the chain and no one can change them. Moreover, smart contracts (an automated program) will directly transfer money to the contributor's account based on the records.

For example, Jack is a writer who uploaded a bunch of short stories to OpenLedger. An AI writer generates new stories in his novel style. Proof of Attribution Discovers 30% of the new story inspired by Jack's novels, and Jack automatically gets a 30% profit share.

(3) Payable AI (payable AI)

Payable AI is OpenLedger's ultimate goal: to turn the AI ​​model into an "asset that can make money by itself." Developers can deploy AI models to OpenLedger. Users pay when using the models, and the fees will be automatically distributed to data contributors and model developers.

For example, a company developed a medical diagnostic AI, and doctors use this AI to analyze patient data, and they have to pay a little money each time they use it. This money will be distributed to hospitals that provide medical data, engineers who train models, etc. through blockchain.

Blockchain ensures that transactions are open and transparent, and it is clear how to divide the money and who gets it. Smart contracts can also automatically execute share sharing, without requiring intermediaries, saving money and worry. For example, Alice is an AI engineer who developed a translation AI and deployed on OpenLedger. Every time someone uses this AI to translate a file, Alice and contributors who provide language data (such as Ruby who uploads English textbooks) can get the money, and the blockchain automatically calculates the proportion and transfers directly.

(4) OpenLedger decentralized network

Instead of putting all data and computing on a company server, OpenLedger uses a decentralized network of blockchain. This means that data and AI models are distributed on nodes around the world, and no one can dominate.

Users around the world can run OpenLedger nodes (like a small server) to help store data and run AI computing. In return, they can earn some rewards.

Blockchain is responsible for coordinating these nodes to ensure data security and credible calculation results. The blockchain will record who runs the nodes and how much work they have done, and will not miss it when rewards are issued.

For example, Black ran an OpenLedger node at home to help the platform store some music data. Someone used this data to train AI, Black's nodes recorded transactions, and the blockchain sent him a little token as reward.

3. What problems did OpenLedger solve using blockchain technology?

There are several major problems in the AI ​​track now. OpenLedger cleverly uses blockchain technology to provide its own solution:

(1) The data source is not transparent

Most AI companies randomly capture data and train models from the Internet. If your data is used, you don’t know, let alone get paid. OpenLedger uses blockchain to record data sources and usage, and attribution proof ensures that contributors are treated fairly. For example, many AI drawing tools now use artists' painting training, but artists don't get a penny. OpenLedger allows artists to upload works and automatically pay when using AI.

(2) Centralized risk

Currently, large companies control AI data and models. They can close them whenever they want and change them when they want. Users have no say. For example, if an AI platform suddenly says "I won't let you use it anymore", you will be stunned. OpenLedger's blockchain allows data and models not to be monopolized by one company, and users can also participate in running the network, making their power more dispersed. Just like in the early days of YouTube, video creators relied on the platform to pay for their money. OpenLedger is like building a "decentralized YouTube" for AI, and creators have more control.

(3) Contributors did not return

The current situation is that AI models make a lot of money, but ordinary people who provide data and engineers who develop models often get nothing. OpenLedger's Payable AI allows every contributor to share the benefits, inspire more people to participate, and the data quality will be higher. Just like YouTube later shared UP's main ads, the quality of videos has increased rapidly. OpenLedger also wants to make AI data richer through sharing.

(4) There are not many AI models

Nowadays, most AI models are built by large companies and are more general and difficult to meet niche needs (such as local language translation). OpenLedger focuses on the field of dedicated language models. Datanets makes data in the professional field easier to collect, and developers can create more accurate "specialized AI". For example, the language AI of a minority may be developed by no one because of the lack of data. OpenLedger's Datanet allows tribes to upload language data, and developers can create exclusive AI.

The cleverness of OpenLedger is that it does not directly cut the large language model track, but cut the dedicated language model SLM track, which can give full play to the characteristics of blockchain technology.

Let’s list the role of blockchain technology in OpenLedger:

· Accounting:Record each data upload, use, and revenue sharing, transparent and tamper-free.

· Spend:Use smart contracts to automatically distribute the benefits to contributors in proportion, without manual intervention.

· Decentralization:Spread data and computing tasks to global nodes to prevent one from dominating the world.

· Safety:Data is encrypted and stored, and the blockchain ensures that no one can secretly modify data.

· Incentive:Give token rewards to those who run nodes and contribute data to encourage everyone to participate.

Summarize

The core of OpenLedger is to use blockchain to create a fair and transparent dedicated AI model ecosystem. It collects data through Datanets, tracks contributions by Proof of Attribution, and automatically divides money with Payable AI, allowing everyone to get a share of the AI ​​development. Here, blockchain ensures data security, transparent transactions, fair payment, and keeps the entire system from being controlled by large companies.

The OpenLedger team keenly discovered that the universal large language model track is monopolized by super companies such as Openai, Google, and Microsoft. They do not need blockchain, nor do they use blockchain to equalize themselves. The dedicated language model track (SLM) is an AI track that needs to rely more on decentralized communities and decentralized forces. In this sector, AI and blockchain have achieved a clever combination.

OpenLedger, which also gives us a possibility, that is, the combination of blockchain and AI should not only start from the technical needs, but from the market. First, the business is established, and then look at what value blockchain and AI can play here. And OpenLedger lets us see this possibility.

Open Ledger test network mining link: https://testnet.openledger.xyz/ The official has detailed guidance documents, just follow the steps to participate. Risk warning: The above content is for discussion and communication only, DYOR.