Last month, when I was researching Humanity and Theoriq, I stumbled upon an obscure but interesting project - @ codata_io. At first, I just casually clicked on it, but the result was overwhelming: not only did I collaborate with a bunch of big companies, but I also did hundreds of millions of address annotations, making "AI data training" seem like building a chain. I immediately realized that this thing could be the 'Render of the Data Industry'. What is Codatta? One sentence understanding: The group of people who use decentralized methods to create "high-quality AI training data" Unlike most AI projects, @ codata_io does not make models or sell fantasies. It only does one thing: Using decentralized mechanisms to transform "expert knowledge" into verifiable and distributable data assets. The core approach is: Decompose the annotation task to "human experts+AI agents" for collaborative completion Every contribution can be verified on the chain Contributors can receive royalties and long-term profits The solution is currently the most difficult problem with large models: scarcity of high-quality data, unclear ownership, and broken incentive mechanisms. How was it done? It's not a concept, it's a tangible implementation @Codatta_AI has implemented: Over 560 million address annotation tasks Identified 46 million high-risk addresses Partners include @ coinbase, @ cipherowl, and the Crypto Defenders Alliance (CDA) Support 35 blockchains Signed contracts worth millions of dollars, with positive revenue growth approaching breakeven The team behind it includes founding members with backgrounds of Pinterest, Alipay, Douban, Ali, Oracle, etc One sentence summary: This is not an AI story built on KOLs shouting orders, but a company that has emerged through real business. 3. Data annotation+AI is a treasure trove in AI storytelling that has not yet been rolled up Nowadays, everyone is focusing on large-scale models and GPUs, but there are hardly any that truly focus on data quality and structured labeling. But the problem is - without good data, the model can only be a paper tiger. @The positioning of Codatta_AI is this essential requirement: Provide AI with labeled, trustworthy, and verifiable data, and establish a data level 'asset economics'. It's not about giving you tasks, but about making you contribute structured knowledge → AI learning → reuse multiple times → profit return. After the model matures, a closed loop of "data as assets, knowledge as royalties" will be formed. 4. Currently in the Alpha phase: BN score high potential, interaction is not yet widely open There are currently two main paths for participation: BN Alpha Route: The project has been launched on @ KaitoAI's BN Alpha chart, and the score is still at a low level. If you are familiar with the early gameplay of Humanity, ZKFair, and Mecca, then you know what signal this is. Interactive task path: The project is still in the gradual opening stage, and it is expected that tasks such as knowledge annotation, model collaboration training, and DAO governance may be opened up in the future, which belongs to the type of "early voice/participation with rewards". 5. Summarize in one sentence @Codatta_AI is currently one of the few Web3 projects that has truly implemented "AI+data" from concept to practice. It has three major characteristics: The model does not burn money, the data is profitable, and the business path is clear The participation mode of contributors is systematic, and the reward mechanism is closed-loop Currently in the early stages, with ample room for participation For content creators, professional users, and AI direction builders, it is an early target with great potential. Suggested attention to operation: Follow the project's main account: @ codata_io Continuously observing the @ KaitoAI BN score list, getting on the bus with a low score is the best window Preparing to participate in future annotation and data supply tasks Those with content capabilities can try to apply for the status of "Human Contributor" and receive sustained revenue sharing in the future