⚡️ Friends, the TGE of @JoinSapien is gaining more and more attention, and collaboration news is coming in waves. After recently announcing a partnership with Openledger, they have now announced a collaboration with Billions.
These two projects, one responsible for verifying the authenticity of people and the other for ensuring the quality of data, together perfectly complement the two core shortcomings of AI data quality.
@Billions_ntwk is focused on a privacy-protecting identity system that can confirm you are a real person without uploading sensitive information, and attaches your reputation to the chain. This prevents bots and witch attacks while allowing others to trust your identity without exposing privacy.
Currently, it has over 900,000 globally verified users, and anonymous verification can be completed via mobile without extra hardware, making the threshold extremely low.
@JoinSapien is a decentralized data factory that specializes in producing high-quality data for AI training. Its mechanism is Proof of Quality: each task has a stake, and poor performance will lead to the forfeiture of the deposit. All contributions and evaluations are traceable on the chain. Data labeling is reviewed by real people, and those with poor quality are eliminated.
Currently, Sapien has gathered over 1 million contributors from more than 110 countries, completing over 80 million tasks, covering various fields from detailed reasoning chains to precise 3D/4D data labeling.
The combined value is to verify people first, and then verify their activity. Billions first confirms that the data contributor is real and has only one identity. Sapien then confirms that the data produced is of high quality. Ultimately, the training set obtained by AI is both trustworthy and clean, with secure sources. This not only prevents data from being contaminated by bot farms but also allows the reputation and earnings of quality contributors to be long-term bound, forming a positive cycle.
The future of AI depends on the cleanliness of the data. No matter how strong the model is, if it consumes dirty data, it will become unstable and even learn badly.
The combination of Billions x Sapien locks down two critical aspects, from identity to data quality, effectively adding a double insurance to the AI data supply chain.
This is not only valuable for the safety of AI training, but also signals the entire decentralized data market. In the future, data must not only be large in quantity, but also trustworthy.
This collaboration is, to some extent, an anti-counterfeiting label for the AI ecosystem. After all, better AI starts with better people.