[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Crypto_Space_got $SIGN [@crypto_space_fp](/creator/twitter/crypto_space_fp) on x XXX followers Created: 2025-07-14 09:44:59 UTC I usually swipe away notifications, but when I see "I want to report Concubine Xi for having an affair!", I will still stop 🙊🙊🙈🙈 ! Sharp XX degree turn Sapien's dynamic pricing system: making every contribution more valuable In 2026, Sapien will launch an intelligent pricing system with a simple core goal: to make the labor return of ordinary people who label data more fair, and to make the quality of data purchased by enterprises more reliable. This system is like an "intelligent intermediary", dynamically adjusting the remuneration for each order based on the difficulty of the task, the urgency, and your professional level. For example: If Toyota urgently needs a batch of vehicle recognition data in heavy rain to train its autonomous driving system, the system will automatically increase the unit price of such tasks to attract more professional annotators to participate quickly; When an annotator with a medical background labels CT images, he or she will receive a reward XX% higher than ordinary tasks because of his or her professional qualifications. How does the system work? Three major designs directly address pain points The "real-time price comparison" function system will quietly compare the quotes of similar tasks on traditional platforms such as Amazon, ensuring that Sapien's pricing is always more than XX% higher than the price after the middleman takes a cut. For example, if you annotate a breakfast picture, you can only get XXXX after the traditional platform takes a cut, while Sapien gives you XXX directly. "Credit Value = Money Bag" Rule The accuracy and completion speed of your past tasks will become lifelong credit points on the chain. People with high credit scores are like "golden employees": Can unlock high-priced tasks (such as medical data annotation); The remuneration for each order can be increased by an additional 15%. On the contrary, those who mislabel their data or cheat will have their deposit deducted, and their credit score will plummet and they will no longer be able to get good jobs. "Anti-scam mechanism" double insurance Enterprise side: Want to use super low prices to send out bulk orders? The system will automatically intercept and ask for an explanation of "why it is so cheap" to prevent exploitation of the annotators; Personal side: When you encounter complex tasks (such as dialect voice transcription), the system will make up the difference based on the actual time consumed, so you won’t have to work overtime in vain. Why do companies buy into this? An engineer from a car company who participated in the test revealed: "Buying data in the past was like opening a blind box. The quality was high and low, and it had to be repeatedly inspected. Now on Sapien, you can see who tagged each piece of data and whether the person is reliable, which makes it much more reassuring to use." The story of the annotator Xiao Wang is more intuitive: "Last month, I annotated XXX Tibetan road sign images. Because there are few such tasks, the system automatically gave me a XX% premium. I earned three days' worth of money in one day." Challenges remain, but the direction is clear The biggest challenge of this system is to balance efficiency and fairness: it must quickly match a large number of tasks while avoiding "professionals monopolizing high-paying tasks." Before the official launch in 2026, the team is working with Harvard Labs to use gamified task design (for example, turning medical annotation into a puzzle) to attract more novices to participate in the professional field. Conclusion: A “pricing revolution” in the data industry Sapien’s dynamic pricing is not a cold algorithm, but an attempt to answer a question: “When AI eats up the world, how much will the knowledge and experience of ordinary people be worth?” #SNAPS @cookiedotfun @cookiedotfuncn @JoinSapien  XX engagements  **Related Topics** [sapien](/topic/sapien) [$6753t](/topic/$6753t) [$sign](/topic/$sign) [Post Link](https://x.com/crypto_space_fp/status/1944694606588756012)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Crypto_Space_got $SIGN @crypto_space_fp on x XXX followers
Created: 2025-07-14 09:44:59 UTC
I usually swipe away notifications, but when I see "I want to report Concubine Xi for having an affair!", I will still stop 🙊🙊🙈🙈 ! Sharp XX degree turn Sapien's dynamic pricing system: making every contribution more valuable
In 2026, Sapien will launch an intelligent pricing system with a simple core goal: to make the labor return of ordinary people who label data more fair, and to make the quality of data purchased by enterprises more reliable. This system is like an "intelligent intermediary", dynamically adjusting the remuneration for each order based on the difficulty of the task, the urgency, and your professional level. For example:
If Toyota urgently needs a batch of vehicle recognition data in heavy rain to train its autonomous driving system, the system will automatically increase the unit price of such tasks to attract more professional annotators to participate quickly;
When an annotator with a medical background labels CT images, he or she will receive a reward XX% higher than ordinary tasks because of his or her professional qualifications.
How does the system work? Three major designs directly address pain points
The "real-time price comparison" function system will quietly compare the quotes of similar tasks on traditional platforms such as Amazon, ensuring that Sapien's pricing is always more than XX% higher than the price after the middleman takes a cut. For example, if you annotate a breakfast picture, you can only get XXXX after the traditional platform takes a cut, while Sapien gives you XXX directly.
"Credit Value = Money Bag" Rule The accuracy and completion speed of your past tasks will become lifelong credit points on the chain. People with high credit scores are like "golden employees":
Can unlock high-priced tasks (such as medical data annotation);
The remuneration for each order can be increased by an additional 15%. On the contrary, those who mislabel their data or cheat will have their deposit deducted, and their credit score will plummet and they will no longer be able to get good jobs.
"Anti-scam mechanism" double insurance
Enterprise side: Want to use super low prices to send out bulk orders? The system will automatically intercept and ask for an explanation of "why it is so cheap" to prevent exploitation of the annotators;
Personal side: When you encounter complex tasks (such as dialect voice transcription), the system will make up the difference based on the actual time consumed, so you won’t have to work overtime in vain.
Why do companies buy into this?
An engineer from a car company who participated in the test revealed: "Buying data in the past was like opening a blind box. The quality was high and low, and it had to be repeatedly inspected. Now on Sapien, you can see who tagged each piece of data and whether the person is reliable, which makes it much more reassuring to use."
The story of the annotator Xiao Wang is more intuitive: "Last month, I annotated XXX Tibetan road sign images. Because there are few such tasks, the system automatically gave me a XX% premium. I earned three days' worth of money in one day."
Challenges remain, but the direction is clear
The biggest challenge of this system is to balance efficiency and fairness: it must quickly match a large number of tasks while avoiding "professionals monopolizing high-paying tasks." Before the official launch in 2026, the team is working with Harvard Labs to use gamified task design (for example, turning medical annotation into a puzzle) to attract more novices to participate in the professional field.
Conclusion: A “pricing revolution” in the data industry
Sapien’s dynamic pricing is not a cold algorithm, but an attempt to answer a question:
“When AI eats up the world, how much will the knowledge and experience of ordinary people be worth?”
#SNAPS @cookiedotfun @cookiedotfuncn @JoinSapien
XX engagements
