Notice

I got paid and wanted to be filial to my dad, so I transferred 500. A few days later, I found myself in a tight spot and shamelessly asked for 3000 back. In the middle of the night, my dad posted on Moments: Remember, don’t spend poor people’s money, it’s a living example.
Sharp turn 90 degrees
Sapien is expected to reach 80% progress on the progress bar tomorrow. There is still a week left until the TGE. Big things are coming. Big things are coming.
and

🔑 1. Experience Leverage: The expertise of ordinary people is the true teacher of AI.

Who decides the road conditions during heavy rain?
Delivery drivers in Guangdong mark flood points on typhoon days, with the system automatically increasing the price by 50%—because they understand better than satellites "which alleys are bound to flood."

How to reduce medical misdiagnosis?
When Berlin doctor Mark annotated the tumor CT, he found the characteristic of "vascular spikes = early cancer," which directly increased the AI diagnostic accuracy from 83% to 96%.

How to prevent dialect discrimination?
Sister Li from Yunnan intercepted the AI's discriminatory interpretation of "hān bāo" (fool) while labeling medical recordings in the Dai language, becoming a grassroots gatekeeper of AI ethics.

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——These pieces of knowledge hidden in the folds of life are the truly scarce "high-dimensional data" of AI.

🛡️ 2. Anti-pit tool: Use mechanisms to demand seriousness.

Deposit-based order taking:
Want to get Tibetan medical annotation? First, deposit 100 $SPN (about 3 days of income). If there are any mislabels, the deposit will be completely forfeited and your credibility score will plummet.

The master leads the apprentice:
Newbie annotations must be cross-reviewed by 3 high-reputation users and approved before payment can be collected. Dr. Mark from Berlin's "Tumor Annotation Course" has trained 50 medical annotators.

On-chain resumes follow you for life:
Each image you label generates an immutable on-chain certificate. When companies hire, they check directly: "This doctor taught AI to recognize cancer? Hire immediately!"

"At Sapien, being lazy is more exhausting than working hard"

——The Kenyan boy Joseph, who has just had his deposit seized, now marks animal tracks with an accuracy of 99%.

⚖️ III. Ethical Guardrails: Ordinary people have the right to hit the brakes on AI.

Stop dangerous tasks:
Filipino nurses found that the recruitment AI labeled "nurses" as female, and initiated a vote to mandate the addition of 30% male caregiver photos, which was completed within 7 days.

Ban on unscrupulous enterprises:
A certain pharmaceutical company wants to use labeled data to develop addictive drugs, the community voted to freeze its account, and the labelers collectively switched to public welfare projects.

Flood Rain Premium Autonomy:
When the company attempted to lower the price by 30% for 100,000 traffic maps, the annotators voted to reject it, and the final deal ended up increasing by 15%.

"We teach AI how to navigate, and we teach it how to be human."

——Berlin doctors blocked 17 biased medical labeling demands with veto power.

🌍 Conclusion: Quality is not a decimal point; it is the smoke and fire of the human world.

When the rescue audio marked by the Wenchuan earthquake survivors became the key model for AI recognition during the "golden 48 hours" of rescue;

When the footprints of rhinos marked by Kenyan youth led to a 60% decrease in local poaching cases over six months——

These moments validate Sapien's quality inspection philosophy:

True high-quality data is not the error rate in the laboratory, but the AI conscience nurtured by ordinary people through their life experiences.

Which mistakes must never be made, and which lives deserve gentleness.

Shenzhen Chen Village Committee Party Branch
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