AI Verification Protocol Lagrange Completes Turing Roulette Campaign Season 3

Bloomingbit Newsroom

Summary

  • Lagrange is an AI verification protocol, and it announced that a Korean won the Turing Roulette Campaign Season 3 with Korean language support.
  • Game participants can earn points that contribute to the testnet and affect future coin airdrops through proofs.
  • Lagrange's zkML technology, DeepProve, reportedly offers proof generation speeds 54 to 158 times faster than existing technologies.

Lagrange, an AI verification protocol, announced on the 13th that it has successfully completed the Turing Roulette Campaign Season 3. This season, which supported the Korean language for the first time, was won by a Korean participant.

The Turing Roulette game, a user-participatory campaign by Lagrange, is a deduction game designed based on the 'Turing Machine' conceived by British mathematician Alan Turing. It involves determining whether the conversation partner is AI or human through a one-minute chat. Season 3, which ended on the 11th, recorded a total of 140,000 participants and 3.75 million games and proofs.

From Season 3, a Korean language chatbot was added, leading to significant participation from Korean users. Participants contribute to the testnet through proofs in the game and can earn points that affect future coin airdrops. The Lagrange Asia-Pacific (APAC) representative explained, "Turing Roulette is not just a simple game but Lagrange's testnet, a new form of proof infrastructure not seen in other blockchain projects."

Lagrange Labs is a team composed of blockchain industry veterans and professors from Yale University in the United States, providing a technical foundation with the philosophy that 'trustworthy AI starts with zero-knowledge proof (ZK), and a secure future begins with Lagrange.'

Lagrange's key technology is Zero-Knowledge Machine Learning (zkML), which verifies that AI models can perform accurate computations without revealing input data. Lagrange's zkML technology, DeepProve, is characterized by a fast proof generation speed, operating 54 to 158 times faster than existing zkML.

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