Last time I mentioned the small octopus that we should focus on participating in, today I will share what kind of project it is.

💫 OpenLedger (

@OpenLedgerHQ

is dedicated to creating a decentralized, open, and transparent AI ecosystem that encourages fair participation by combining blockchain technology with specialized small models (SLM), providing developers, data contributors, and users with a truly valuable participatory environment.

Unlike the path of centralized cloud-based large models, OpenLedger emphasizes building 'small and refined' vertical scene AI, focusing on long-tail demands in healthcare, law, art, etc., which are often overlooked by mainstream models.

Community activities like 'Forge Your Model Madness' incentivize AI ideas with practical utility and innovation rather than quantity-based participation, further promoting the formation of discussions and feedback mechanisms around models.

Users do not need venture capital or massive social influence; as long as they have a potential model, prototype, or even a creative concept, they can gain attention and support. This barrier-free construction method has attracted a large number of Web3 and AI developers to participate.

💫 Technically, OpenLedger relies on three core engines:

Datanets (data networks) — transform structured data contributed by users, such as medical records, code snippets, etc., into training energy for models, with data being permanently recorded on-chain to ensure clear and immutable profit-sharing;

OpenLoRA Framework — supports running hundreds or thousands of models on a single GPU, effectively reducing operational costs and latency with lazy loading and 4-bit quantization technology;

Decentralized network architecture — anyone can build nodes, run models, and ensure data security and contribution returns through encryption mechanisms.

OpenLedger precisely addresses the three major challenges currently faced by Web3+AI: opaque data sources, centralized monopolies, and insufficient computing power/nodes.

Through on-chain data verification and an automated profit-sharing mechanism via smart contracts, ensure data credibility, measurable contributions, and traceable earnings, making the entire AI training and deployment process more open and verifiable.

💫 As of now, OpenLedger has completed an $8 million seed round financing led by Polychain Capital, with other investors including HashKey Capital, Finality Capital, and several heavyweight angel investors in the Web3 field.

💫 The platform has currently received over 24.8 million test requests, covering multiple regions worldwide, and has launched a node participation mechanism that supports mobile and browser extensions.

In the future, OpenLedger will continue to advance core technologies such as zero-shot LoRA, mobile inference, and multi-GPU deployment, while also laying out more practical scenarios, such as scientific advisors, legal assistants, on-chain co-drivers, and real-time translation, and will deeply cooperate with TaikoAI, which is committed to the integration of blockchain and AI.

The collaboration between the two will focus on data on-chain and intelligent analysis, ZKP (zero-knowledge proof) privacy protection inference, and the integration of trusted AI ecosystems with Web3 tools.

The data credibility mechanism provided by OpenLedger will enhance the intelligent analysis and prediction capabilities of TaikoAI models; the ZKP module can achieve secure inference services while protecting data privacy; in addition, through SDK and API integration, natural language to code, intelligent debugging, and other AI capabilities will help form an integrated Web3 AI development platform, pushing AI from a closed technology showcase to a practical tool for the general public.

💫 In short, OpenLedger is not just an on-chain AI tool project, but an infrastructure committed to redefining the foundational data of AI and the way of ecological collaboration, laying the technical and institutional foundation for a new era of AI where 'everyone can participate and benefit.'