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$PUNDIAI #以下为剧情假设DYOR #预测未来 $BNB Bean Bag News: PUNDI AI targets Xiaopeng humanoid robot track to promote decentralized data empowerment for large model training

Recently, the decentralized AI data layer project PUNDI AI (formerly Pundi X) is advancing cooperation talks with Xiaopeng Technology, focusing on data collaboration in the humanoid robot field, striving to reach a consensus that allows Xiaopeng's new generation of IRON humanoid robots to use its decentralized dataset to train exclusive large models, filling the gap in high-quality training data in the industry.

As Xiaopeng's high-end humanoid robot, heavily promoted at the 2025 Technology Day, IRON is equipped with three Turing AI chips and the first-generation physical world large model, possessing 82 degrees of freedom and fine interaction capabilities, with plans for large-scale production by the end of 2026. Its "VLT large model" has an urgent demand for real-world scenarios and multidimensional high-quality data. The decentralized data ecosystem built by PUNDI AI precisely addresses this pain point—through tools such as the "Tag-and-Earn" incentive model and the Purse+ browser plugin, aggregating text, images, videos, and other multi-format data contributed by global users, which after verification through a three-tier quality filtering system, can be traded in the AI data market in the form of NFTs, known in the industry as the "OpenSea of AI data."

During this discussion, PUNDI AI highlighted the collaborative advantages of the cross-chain data processing platform FX Omnilayer, which can break blockchain network barriers, allowing Xiaopeng to efficiently access data in different technical environments while ensuring data security and compliant use through smart contracts. If the cooperation is reached, Xiaopeng robots will access PUNDI AI's vast dataset of real-world scenarios, effectively avoiding the risk of "AI inbreeding" and enhancing the autonomous decision-making ability of large models in practical scenarios such as industrial inspection and commercial services; meanwhile, PUNDI AI will leverage Xiaopeng's mass production landing scenarios to achieve large-scale application verification of decentralized data in the field of physical technology.

Currently, both parties have initiated preliminary discussions on key issues such as data quality standards and transaction settlement models, and subsequent cooperation progress will continuously influence the integration process of AI data decentralization and the humanoid robot industry.

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