In the early 2010s, data technologies like Big Data and Hadoop promised vast insights, yet high-quality real-world data was lacking, leading to trust issues. With AI's reliance on accurate data, Decentralized Physical Infrastructure Networks (DePINs) emerged to address this problem. By using blockchain, DePINs incentivize regular individuals to maintain physical-world infrastructure and provide reliable data. This model ensures data integrity and origin, thus helping to avoid the pitfalls of unreliable data that could skew AI outcomes—a critical challenge in the AI era.
In the early 2010s, everybody was talking about Big Data, Hadoop clusters, data lakes... but actual-world data was in short supply, creating trust issues.
DePINs incentivize individuals to build and upkeep physical-world infrastructure, using blockchain to provide proof of data origin and integrity.
High-quality, real-world data is in short supply for training AI models, creating challenges in ensuring the trustworthiness of AI-driven decisions.
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