OpenLedger is the 'AI version of Ethereum + GitHub', making AI open-source, trustworthy, and traceable, allowing everyone to participate and benefit.

I recently finished reading @OpenledgerHQ's (Proof of Attribution) whitepaper, and I increasingly feel that in the latter half of #AI development, the rights confirmation issue in the full process of AI contributions will be the biggest pain point of traditional AI. OpenLedger combines the currently popular AI + #Blockchain solutions, effectively addressing the aforementioned pain points. According to a research report by @MessariCrypto, the #AI sector will reach over $2 trillion in market value by 2030, and the potential is self-evident. Today, let's analyze the new dark horse in #AI, OpenLedger, and the three early free participation opportunities. Currently, most #AI is controlled by big companies (OpenAI, Google, Meta), and how models are trained, who’s data is used, and how profits are distributed — it’s all a black-box operation. Ordinary people can neither participate nor gain profits.

And #OpenLedger uses Proof of Attribution technology to ensure that content generated by #AI (such as images, articles, music) can be traced back to its source, and ensures that all data providers who contribute to building specialized AI models will be recognized or incentivized.

•How the models are trained → Publicly verifiable

•Who’s data is being used → There are records and evidence

•Who contributed data → All can be tracked and rewarded

This is an 'anti-monopoly' underlying architecture that directly addresses the core pain point of unfairness in current #AI.

OpenLedger (@OpenledgerHQ) is a decentralized, blockchain-based AI platform aimed at achieving transparency, community governance, and open access in artificial intelligence. Unlike traditional AI models controlled by big tech companies, OpenLedger enables the community to train, validate, and create specialized AI models, thereby building a fairer system that ensures individuals providing data and models receive due recognition and rewards.

#OpenLedger's architecture employs five core layers:

Consensus layer (based on EigenLayer's secure sharing)

Model execution layer (OpenLoRA)

Data rights confirmation layer (Datanet + Proof of Attribution) Task execution layer (task verification and incentives)

User participation layer (plugin-based, low-barrier entry)

There are too many technical aspects to elaborate here, interested partners can check the pinned whitepaper on @OpenledgerHQ's homepage. For ordinary users, they might be more concerned with methods for user participation, the main strategies include (detailed guides later):

•Chrome extension: Can serve as a data collector (contribute prompts, webpage data)

•Local runner: Run OpenLoRA nodes to earn points, supports CPU and GPU

•Contribution-based interaction: upload datasets, train models, validate others' results, forming an #AI crowdsourcing community

#OpenLedger's key advantages:

1. OpenLoRA: 1 graphics card running thousands of models

#OpenLedger's most hardcore product is OpenLoRA, which serves as the infrastructure for model deployment. It might be hard to understand, so let me give an example.

For example: you currently have an LLM model, and with LoRA fine-tuning, you've created 1000 'skill-based plugins' (like lawyer, doctor, fitness coach, teacher, etc.). If you were to run these models using traditional methods, you would need to equip 1000 graphics cards, which would be prohibitively expensive.

#OpenLoRA's approach:

•Load only one base model (e.g., Mistral)

•Dynamically load LoRA plugins only when needed

•No memory overload, switching milliseconds, and even faster speeds

•Save over 90% of server costs

📌 This technology is simply the best privatization boon for small and medium-sized enterprises and individuals. It allows everyone to have a LoRA and supports multi-user Copilot. Additionally, it serves as a strong complementary relationship with large model platforms (like HuggingFace, Bittensor-type projects).

Therefore, #OpenLoRA is not just a concept, but a real-world product that addresses the cost and scalability issues of AI infrastructure, with strong commercialization capabilities, especially suitable for localized private deployments by small and medium-sized enterprises or individuals.

2. Rights confirmation system for data and contributions: Datanet + Proof of Attribution

We know that #AI training relies on data, data is the oil of the #AI era, computing power is the engine, and models are the highways. These three are closely linked and interrelated. Currently, the source of data has always been a legal and ethical gray area (for example, GitHub code, Reddit posts, etc., are used for training without giving any returns to contributors).

So #OpenLedger has done two things:

•Utilizing Proof of Attribution to ensure every contribution is recorded on-chain, traceable in real-time, who contributed what and how much, all can be checked

•Utilizing Datanet to create a decentralized data market, allowing data and models to be confirmed, traded, and traced like NFTs.

Investment institutions:

#OpenLedger has raised over $11.2 million, with top VCs Polychain Capital and Borderless Capital leading the investment. Other investors include Finality Capital, HashKey, STIX, Mask Network, MH Ventures, and well-known institutions and angel investors like Sandeep Nailwal (Polygon), Balaji Srinivasan, Kenny Li (Manta), Scott Moore (Gitcoin).

OpenLedger's token economic model:

Although the official has not yet announced the specific token economic model, the overall logic is: who contributes, who benefits, forming a positive feedback loop (as shown in the image below)

OpenLedger's economic model adopts #Web3 strategies + #AI applications:

•Contribute data / prompts / fine-tune models / validate models

•→ Generate rights confirmation certificates

•→ Earn profit-sharing when called by others (automated settlement)

•→ Ownership and profit-sharing can be traded and inherited

This is a significant incentive for AI creators, and I believe this is also the trend of decentralized AI development — you are not working for the big models for free, but can confirm rights and generate returns. Next, let's talk about 'data creation mining'.

The project is currently still in the early phase of the testnet, with 3 ways to gain potential future official tokens $OPEN. I will explain these three methods separately, and how to participate.

1. Complete daily official task activities to earn PTS points

> Visit the website testnet.openledger.xyz/?referral_code…

> Register using Google

> Contribute prompts, webpage data, etc., participate in task mining

Logging in through Google in the browser effectively filters out a large number of fake accounts, benefiting long-term development.

2. Node mining

As a data-driven #AI + #DePIN project, running nodes is essential. This is an important method for acquiring future airdrops.

> Visit the website: testnet.openledger.xyz/app-store

> Download the extension and log in.

> Currently supports Android and browsers (as shown in the picture).

3️⃣ Rank up on Kaito AI's leaderboard

#Openledger is collaborating with @KaitoAI to create a reward task; active users who enter the top 200 will share a reward pool of 2 million $OPEN tokens. x.com/kaitoai/status…

> Visit the website yaps.kaito.ai/referral/10039…

> If you haven't logged in yet, please log in first.

> Enter the #OpenLedger leaderboard (👇 link below).

> Write valuable content about the project on X, remember to tag

In summary: If 2023 is the 'Year of Big Models', then as AI matures, our focus in 2025 will be: who can build a fair infrastructure for #AI, who will become the most promising #AI dark horse.

As one of the brightest stars in #AI, OpenLedger is building a public infrastructure for #AI. Just as #ETH made #DeFi possible, #OpenLedger aims to make 'public AI' a reality. If you, like me, are optimistic about the future of decentralized #AI, #OpenLedger is one of the strongest projects in #Web3 with clear vision and valuable participation in its token mechanism, worthy of attention and focus; remember to seize the early free opportunities.