👉 Large models are no longer valuable; tuning is the real skill

ChatGPT and Gemini are fast and cheap, but for AI to truly take off, it requires "niche data + specialized training".

Meta recently invested in data annotation companies because: high-quality data is the core barrier of AI.

Those involved in annotation are essentially "using their understanding PoA - Proof of Attribution"; this way of contribution is inherently suitable for blockchain.

👉 OpenLedger: a chain truly designed for AI

@OpenledgerHQ has "blockchain-reformed" every aspect of AI:

- In the training phase: who provided the data, who annotated it, who trained the model, who provided the computing power → all will be recorded on the blockchain.

- In the usage phase: who used the model, how the revenue is shared → everything is also recorded.

Every contributor has a blockchain certificate, and the system automatically incentivizes with $OPEN, allowing AI to reshape production relationships through blockchain and return to "co-creation + win-win".

👉 Top VCs, industry OGs, communities, and developers have bought into this narrative

- Polychain Capital, HashKey, Borderless

- Founders of EigenLayer, co-founders of Polygon, Balaji, and other top Web3 builders

- Over 22 million total transactions

- Over 13 million active addresses

- 27+ projects built on OpenLedger

- Over 190,000 daily transaction volume

👉 Large models are already "good enough", but segmented scenarios require precise models

Potential application directions that are likely to emerge next:

- AI for analyzing trading trends / creating trading strategies

- AI for analyzing meme addresses to create analysis and follow strategies

- AI for auditing contract security

- AI for interpreting legal texts

……

All of this requires professional data + community participation + sustainable incentive mechanisms, and OpenLedger just connects this chain.

👉 Early participants can get airdrop whitelist

Participate in OpenLedger's China tour - scan on-site - post - get whitelist

Hangzhou｜June 18 (Tuesday) https://t.co/H4odhYWzDS](https://t.co/H4odhYWzDS

Shenzhen｜June 20 (Thursday) https://t.co/eKEmBb4I7C](https://t.co/eKEmBb4I7C

Chengdu｜June 21 (Friday) https://t.co/w4Ug4Q8kPl](https://t.co/w4Ug4Q8kPl

Shanghai｜June 22 (Saturday) https://t.co/0SunIXzN9j](https://t.co/0SunIXzN9j

👉 If you believe AI does not belong to a few companies but should belong to every participant—then you must take a look at this project.