Public airdrop, big hair! ! !

Introduction to PublicAI: PublicAI is a Train-AI-To-Earn decentralized application. Users can earn token rewards by simply interacting and answering questions to validate datasets as a validator, or mine high-quality content on social media to earn incentives as an AI builder.

PublicAI’s platform integrates Byzantine Fault Tolerance (BFT) principles to protect and integrate data validation, address adversarial threats and enhance consensus reliability. The platform uses a BFT-based dynamic voting mechanism that adjusts the number of validators and consensus thresholds based on data complexity and sensitivity identified by artificial intelligence. Validators and data contributors earn tokens upon reaching consensus, thus promoting participation. The BFT consensus algorithm enhances data verification, maintains accuracy during Byzantine failures, and ensures the system's ability to withstand malicious attacks. Validators cross-validate data, marking it as "real," "useful," or "unknown" for novel insights that strengthen the knowledge base.

Project financing background: publicAI completed a US$2 million seed round of financing, with participation from Solana Foundation, Foresight Ventures, IOBC Capital, Everstate Capital and a number of well-known academicians and professors in the field of artificial intelligence. The PublicAI team includes global scientists, IEEE Fellows, professors, PhDs from Stanford University and the Chinese University of Hong Kong, and former employees of Goldman Sachs and JPMorgan Chase. It has reached cooperation with a number of artificial intelligence institutions, including the world's largest autonomous vehicle data provider A BAKA.AI.

Tutorial: Log in through the link: https://beta.publicai.io/?invite_code=7ev5e17rvsParticipation method one: 1. Comment on other people’s tweets: See high-quality or popular tweets in the field of WEB3.0 or AI on Twitter When writing, you can comment or quote the tweet and include: "@PublicAI_" + "#AI" or "@PublicAI_" + " #web3" in the content

Participation method two: Enter the website and answer questions