Source: KaggleWhile recognizing the achievement, Subramaniam told Cointelegraph that “it’s not a definitive indicator of real-world adoption or enterprise-grade quality.” He said that what sets OORT’s data set apart “is not just the ranking, but the provenance and incentive layer behind the data set.” He explained:“Unlike centralized vendors that may rely on opaque pipelines, a transparent, token-incentivized system offers traceability, community curation, and the potential for continuous improvement assuming the right governance is in place.“Lex Sokolin, partner at AI venture capital firm Generative Ventures, said that while he does not think these results are hard to replicate, “it does show that crypto projects can use decentralized incentives to organize economically valuable activity.”Related: Sweat wallet adds AI assistant, expands to multichain DeFiHigh-quality AI training data: a scarce commodityData published by AI research firm Epoch AI estimates that human-generated text AI training data will be exhausted in 2028.
Ramkumar Subramaniam, core contributor at crypto AI project OpenLedger, told Cointelegraph that “a front-page Kaggle ranking is a strong social signal, indicating that the data set is engaging the right communities of data scientists, machine learning engineers and practitioners.“Max Li, founder and CEO of OORT, told Cointelegraph that the firm “observed promising engagement metrics that validate the early demand and relevance” of its training data gathered through a decentralized model.
He added:“The organic interest from the community, including active usage and contributions — demonstrates how decentralized, community-driven data pipelines like OORT’s can achieve rapid distribution and engagement without relying on centralized intermediaries.“Li also said that in the coming months, OORT plans to release multiple other data sets.
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Author / Journalist: Cointelegraph by Adrian Zmudzinski
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