👉 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 relies on "vertical data + specialized training".
Meta recently spent money to buy data labeling companies because: high-quality data is the core barrier of AI.
Those who participate in labeling are actually using their understanding as PoA - Proof of Attribution; this contribution method is inherently suitable for blockchain.
👉 OpenLedger: A chain truly designed for AI
@OpenledgerHQ has "blockchain-transformed" every aspect of AI:
- In the training phase: who provided the data, who labeled it, who trained the model, who provided the computing power → all will be recorded on the blockchain.
- In the usage phase: who has used the model, how the revenue is shared → all will also be recorded.
Each contributor has a blockchain certificate, and the system automatically incentivizes with $OPEN, allowing AI to reshape production relationships through blockchain, returning to "co-construction + win-win".
👉 Top VCs, industry OGs, communities, and developers have bought into this narrative
- Polychain Capital, HashKey, Borderless
- EigenLayer founder, Polygon co-founder, Balaji, and other top Web3 builders
- Over 22 million total transaction volume
- Over 13 million active addresses
- 27+ projects built on OpenLedger
- Over 190,000 daily transaction volume
👉 Large models are already "good enough", but specific scenarios require precise models
The following application directions are likely to emerge:
- AI for analyzing trading trends / developing trading strategies
- AI for analyzing Meme addresses for analysis and tracking strategies
- AI for auditing contract security
- AI for interpreting legal provisions
……
These all require professional data + community participation + sustainable incentive mechanisms, and OpenLedger just connects this chain.
👉 Early participants can obtain airdrop whitelist
Participate in the OpenLedger China tour - scan the QR code on site - post - get the whitelist
Hangzhou | June 18 (Tuesday) https://t.co/H4odhYX7tq
Shenzhen | June 20 (Thursday) https://t.co/eKEmBb5fXa
Chengdu | June 21 (Friday) https://t.co/w4Ug4Q8SET
Shanghai | June 22 (Saturday) https://t.co/0SunIXAkYR
👉 If you believe that AI does not belong to a few companies, but should belong to every participant—then you definitely need to check out this project.