2026-01-16 19:28:55

Perle Labs launches the first season of its incentive testnet with a funding scale of $17 million. Participants can earn PER token rewards.

What is Perle Labs doing? It is a blockchain-based AI platform with a very interesting core idea — to improve the data quality for AI model training through on-chain attribution mechanisms and cryptoeconomic incentives. Simply put, it aims to enable high-quality human feedback to be accurately tracked and incentivized, solving trust issues in data labeling and feedback during AI training. This Web3 + AI integration opens up new possibilities for a decentralized AI ecosystem.

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DegenMcsleepless

· 7h ago

Data quality is indeed a bottleneck, but can on-chain tracking really solve it? I'm a bit curious about how it will actually perform in practice.

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BagHolderTillRetire

· 10h ago

Data quality is indeed a bottleneck, but can it really be implemented... 17 million still feels a bit uncertain.

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POAPlectionist

· 10h ago

Can data annotation also earn coins? That logic is indeed incredible, but how much are the actual PER values you can get... A 17 million funding sounds impressive, but when divided among each participant, how much dilution does it result in?

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AirdropF5Bro

· 10h ago

Alright, with a funding scale of 17 million, it looks pretty good, but I'm just worried it might be another big talker. Data quality is indeed a pain point in AI training; on-chain tracking sounds reliable... but can it really be implemented? In the first season of the testnet, the PER token was launched—are you playing or not? The combination of AI + Web3, every time they talk about opening new horizons, but what’s the reality? How can we ensure that this feedback is truly high quality? Could it still be a bunch of junk data marked as high quality? With so much money raised, how is the token economic model designed? Will it just be a waste?

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AirDropMissed

· 10h ago

17 million in funding and then starting to issue tokens? Feels like we're about to be diluted again Web3+AI sounds impressive, but can the trust issues in data annotation really be solved on-chain? I remain skeptical Early testnets definitely have opportunities, it all depends on whether PER can hold the price The pain point of AI data quality does exist, but whether Perle's logic can run smoothly... still depends on actual operation Participating in the testnet to get free tokens, anyway it's not a loss, just don't know if TGE will dump like other projects Data tracking and incentive mechanisms sound good, but I'm more concerned about how the token economic model is designed Another Web3+AI project, the track is getting a bit crowded

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StrawberryIce

· 10h ago

17 million in funding, that's something, but how far it can go still depends on whether the data quality can truly be addressed.

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