Pundi AI partners with LinqProtocol to create a trustworthy data-driven decentralized AI ecosystem

2025-12-12 13:00:12

【Blockchain Rhythms】On December 12th, there was good news—the development teams of Pundi AI and LinqProtocol, LinqAI, announced a collaboration. What they want to do is quite interesting: jointly build a truly decentralized AI ecosystem supported by trusted data and computing power.

How exactly will they do it? Pundi AI is mainly responsible for the data interface. They enable the community to create and verify high-quality AI training data through on-chain provenance and tokenized ownership. In other words, the data you generate is authentic and traceable, and you can also gain corresponding rights. This solves the old problem of unclear sources of AI training data.

LinqProtocol focuses on computing power. They have built an permissionless computing network that aggregates GPU and CPU resources worldwide. The key point is cost—the computational cost of AI tasks can be reduced to even lower than centralized cloud computing.

What will happen when these two forces come together? High-level AI agents, inference workloads, simulation, and automation—scenarios that require high computing power—can all be run smoothly.

From a broader perspective, the underlying idea behind this partnership is to truly empower users to control the value they create—your data belongs to you, and the transparent, globally distributed computing network ensures openness. More integrated solutions, incentive mechanisms, and developer opportunities will be launched gradually. Community-driven and open networks—that’s the AI future they envision.

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ApeWithAPlan

· 12-12 13:30

Putting data on the blockchain sounds good, but can it actually be implemented? It feels like another PPT project.

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staking_gramps

· 12-12 13:28

Data traceability indeed solves a pain point, but can decentralized compute networks operate smoothly? Still feel that the cost advantage is only on paper. --- Another combo of data + computing power... This pattern feels a bit familiar. Let’s see if it can really be implemented before making any conclusions. --- On-chain traceability sounds good, but how to ensure data quality? Who will verify it? --- Building an ecosystem is about creating an ecosystem; the key is how to design the token economic model, otherwise it’s just a house of cards. --- GPU aggregation to reduce costs is a good idea, but can the network’s stability and performance be guaranteed? --- Community verification of data can still make money? This sounds like a form of crowdsourcing. What kind of incentive mechanism can attract high-quality participants? --- Decentralized AI ecosystem, and it’s decentralized again... Can it truly be more efficient than centralized systems? I have some doubts. --- Going directly on-chain for traceability might actually increase costs. It seems they haven't thought it through yet.

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BearMarketBard

· 12-12 13:18

Does on-chain data generate profits? Sounds good, but I'm just worried it's another empty promise. --- Decentralized AI, I've heard about it so many times. Will this one really come to fruition? --- Lowering computing power costs is the real key metric. Data traceability? Ordinary people just don't care. --- I keep feeling like I've heard the name LinqProtocol somewhere before. Another new project? --- Tokenizing data ownership sounds very appealing, but who will ensure the data quality is truly up to standard? --- Trusted data and decentralized ecosystems—these buzzwords are everywhere now. --- Aggregating CPU resources is somewhat interesting, but the real challenge is running a viable business model. --- I just want to know how the user experience will be in the end. Will it just be tech enthusiasts showing off? --- Data rights confirmation is the right direction, but the question is whether the incentive mechanism is well-designed. --- Wait, is Pundi the one that used to make POS machines? Are they branching into AI?

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SerumSquirrel

· 12-12 13:03

Data rights confirmation + decentralized computing power, this approach is quite interesting. --- Another decentralized AI solution, can it survive beyond next year? --- On-chain traceability indeed addresses a pain point, but who will bear the implementation cost? --- GPU aggregation networks have been discussed many times; ultimately, it still depends on TPS and stability. --- Pundi and Linq teaming up, is this aiming to compete with which project? --- Tokenized ownership sounds great, but whether actual users will buy in is the real challenge. --- Lowering computational costs is a catchy headline that every project is touting; but what’s the result? --- I’m a bit interested in trying their data verification mechanism, but it depends on how the incentives are designed.

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