Depth decoding: Sapien test interface reveals hidden code for "data wealth"

An unexpected backend exposure has revealed the potential profit models for AI trainers in the future.

@JoinSapien The intricately designed points system

The backend code shows that the "XP" accumulated by users is not just a simple number, but a digital asset with potential monetization capabilities.

The task return rate in specialized fields is significantly higher than that of conventional tasks, with medical data annotation profits reaching up to 300% of ordinary tasks.

The system's embedded smart contract will automatically adjust the points exchange ratio based on the user's historical accuracy.

The value upgrade path for data workers

Basic Stage: Labor Quantification
Accumulate raw XP through basic labeling tasks to establish an initial contribution record.

Advanced Stage: Credit Building
Continuously delivering high-quality outputs to enhance "on-chain reputation score", unlocking higher weight coefficients.

Final Stage: Asset Transformation
Contributors who meet the standards can mint their data output into exclusive digital assets.
Industry Shocking Discovery

The leaked information confirms that the platform is testing the "Data Tokenization" protocol.
User contributions will be permanently recorded on the distributed ledger.

There is a dynamic elimination mechanism: low-quality contributors will gradually lose their rights.
Industry experts interpret

"This may be the first mature model that directly transforms data labor into digital assets, redefining the value distribution of AI training data. The premium on specialized domain data validates the scarcity of high-quality data."

Potential Impact

It may trigger a new round of competition for professional data annotation talent.

Provides knowledge workers with a new channel for value realization.
An economic model has been established that directly links data quality to revenue.

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