I encountered something interesting at the café in the morning:

Two programmers at the next table are debating the quality of AI training data. One says, "Now the data labeling farms are all robots," and the other replies, "At least you have to prove you are a real person first."
As a result, the two of them argued more and more fiercely, and in the end, the waiter came over and asked if they could first prove that they were not robots? The whole place burst into laughter...

This joke seems like a prophetic vision now—@Billions_ntwk and @JoinSapien's collaboration just happened to solve this deadlock.
Billions uses zero-knowledge proofs to verify that you are a real person, while Sapien ensures that you are doing real work through a quality staking mechanism.
Two post-90s projects have completely plugged the gaps in the AI data supply chain.

How to play specifically?
The Billions privacy identity system has verified 900,000 real people, allowing them to store their reputation on the blockchain without submitting ID cards.
Sapien is more ruthless, with 1 million contributors completing 80 million annotation tasks, and those with poor quality will have their stakes directly deducted.
Now that the two companies are working together, it means that the data fed to the AI has undergone double filtering:
First pass the real-person turnstile, then go through the quality inspection assembly line.

The most impressive part is that this combination punch hits the sore spot of the AI industry—models can iterate infinitely, but if the data is dirty, it results in permanent pollution.
Many projects claim to have large amounts of data now, but no one dares to guarantee whether it is generated by bot farms.
Billions×Sapien is like putting up a signpost for the data market:
The meat here is not only fresh, but can also be traced back to which pig it was cut from.

In the long run, this "real person + high quality" binding model may change the entire game rules.
When contributors' reputation and earnings are linked, who would still be willing to generate junk data for fifty cents?
After all, in the Web3 world, your on-chain resume is worth much more than your CV.
The inspiration I gained from this collaboration is:
In the second half of the AI competition, those who possess data quality will dominate the world.