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Yupp: A Refreshing Take on "Train-to-Earn"

By rewarding users transparently, Yupp reframes AI training as participatory, auditable labor.
Yupp: A Refreshing Take on
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A few weeks back, Yupp announced a $33M seed round led by a16z's crypto arm, with participation from heavyweights like Google Chief Scientist Jeff Dean, Twitter co-founder Biz Stone, Pinterest co-founder Evan Sharp, and Coinbase Ventures. 

Beyond just being a notable raise, the platform’s core premises prove quite interesting. Yupp intends to better the process of human feedback in AI training, and repurpose that feedback to establish a more objective benchmark for which to rate AI performance by.

Human feedback already proves essential to refining AI model training, but currently it’s largely uncredited, unrewarded, and controlled by a handful of tech giants. Yupp's approach is to flip this dynamic, using onchain infra to make feedback transparent, auditable, and financially rewarding for users.

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David Christopher

Written by David Christopher

430 Articles View all      

David is a writer/analyst at Bankless. Prior to joining Bankless, he worked for a series of early-stage crypto startups and on grants from the Ethereum, Solana, and Urbit Foundations. He graduated from Skidmore College in New York. He currently lives in the Midwest and enjoys NFTs, but no longer participates in them.

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