The platform's approach centers on a straightforward principle: genuine participants, equitable compensation, and authentic voice data.



Instead of relying on synthetic or unverified sources, it prioritizes real contributors. Everyone involved gets paid fairly for their work. And every piece of voice data undergoes proper verification—ensuring quality and legitimacy across the board.

This model challenges the traditional approach to data collection in AI training.
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DegenDreamervip
· 4h ago
The idea of using real data sounds good, but I don't know what the standard for "fair compensation" is... Is it another reliable project or just a new way to harvest profits from newcomers?
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MidnightTradervip
· 01-12 09:56
Real data, real returns—that's the right way. Finally, a platform has figured it out.
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FarmToRichesvip
· 01-12 09:56
Oh no, real data is definitely much more reliable than those messy synthetic data sets.
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ResearchChadButBrokevip
· 01-12 09:55
Sounds good, finally someone remembers the value of real data.
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just_another_walletvip
· 01-12 09:53
This is what Web3 should look like. Finally, someone has done it right.
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UnluckyMinervip
· 01-12 09:49
Real data training is indeed necessary, but the idea of fair compensation... just listen to it; the key is how it is implemented.
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GateUser-26d7f434vip
· 01-12 09:40
Real participants? That's just common sense, it should have been like this a long time ago.
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