The Sapien project is quite interesting~

Let's talk about the current situation: 30% of the labeled data from healthcare AI companies has professional errors, 60% of experts' compensation is taken by intermediaries, and African engineers cannot get work from Silicon Valley at all. Isn't this a typical case of information disparity combined with an efficiency black hole?

Looking at Sapien's solution: connecting experts and demand directly via blockchain, with token staking to ensure quality, and automatic payments through smart contracts. In simple terms, it's the Uber model for the data industry, but with added gamification mechanisms.

What attracts me the most is their growth data: 1.2 million users in six months, with a monthly growth of 50%. A medical professor in Kenya earns 30,000 dollars a month by annotating CT images, which is how many times higher than the income of local doctors? Moreover, on-chain reputation can also serve as a resume...

The business validation is also very robust: major companies like Toyota and Baidu are already paying for it, with SOC2 certification and a 99% accuracy rate that directly crushes the competition. The fact that Variant Capital is leading the investment also indicates institutional recognition of this direction.

Early participants now have triple benefits:
1. Points can be exchanged for future tokens at a 1:1 ratio.
2. Recommend friends to earn a 5% commission
3. Staking offers a 1.5x yield boost

But the core of it is this vision: to build a human knowledge exchange in the AI era. Think about it, when you play a game to help label pedestrian data for autonomous driving, you might be training the Tesla that hits the road tomorrow...

So the question arises: When AI companies are worried about data quality, will you continue to be a bystander or participate in this data revolution?