📰 【Reppo Foundation Receives a $20 Million Funding Commitment, Using Prediction Markets to Solve the Training Data Bottleneck Problem】

BlockBeats reports: On April 23, the Reppo Foundation announced that it has received a $20 million strategic funding commitment from Bolts Capital, which will be used to advance protocol development and expand the ecosystem, with a focus on supporting AI training data infrastructure built around prediction markets. Reppo said its core philosophy is to use prediction market mechanisms to convert human judgment into a verifiable, incentivized and constrained data source, in order to address the current difficulty in obtaining high-quality data for AI training. The project supports multimodal data processing such as text, images, audio, and video by building a decentralized data network (Datanets), providing support for model training, evaluation, and fine-tuning.

$20 million is enough to brag about infrastructure development? Using prediction markets as data scrubbers—this “pie” is inflated even more than NFTs. Data bottlenecks are a problem, but they can’t be solved by betting-guy voting; take a look at on-chain AI only after you understand distributed storage. Another experiment burning VC money just for fun.

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