I recommend taking a look at the @ getoro_xyz ORO AI, which has gained the favor of many top VCs. It is currently in its early stages and has launched a point based task activity with potential airdrop opportunities. The following are the participation methods and precautions: 1) Enter: http://app.getoro.xyz/?referralCode=3DDAYD 2) Email Registration 3) Complete social tasks (bind social tasks, etc., earn points) 4) Additional tasks 4.1 The latest tasks may include uploading specific content (such as short videos or text), and specific requirements should refer to the official website or Telegram announcements. 4.2 Participating in community activities (such as inviting friends) can earn additional rewards and increase point income. 5) Accumulate points Core activity points: obtained by binding accounts and completing tasks. Extra Points: Obtain additional rewards through continuous participation, community contributions, and other means. Points will determine the allocation ratio of future ORO tokens ORO AI is a decentralized AI data platform aimed at enabling users to contribute personal data (such as social media, health, consumption records, etc.) to assist in AI model training while protecting privacy, and receive token rewards. The project slogan is "Turn Your Data into Digital Gold", emphasizing the core value of user data in the AI era. Core concept: Break the monopoly of big technology companies on data, enable users to become active participants in AI development, and fairly share the value of data. Application scenario: User data can be used to enhance AI models, such as improving medical diagnosis, optimizing language models, etc. User incentive: Earn ORO points by completing in app tasks (such as connecting social accounts, participating in community activities), and the points will determine future ORO token rewards. ORO AI adopts advanced privacy protection technology to ensure the security of user data and achieve efficient utilization of data. The following are the core technological highlights: Privacy protection technology: zkTLS (Zero Knowledge Transport Layer Security): processes data through encryption techniques to ensure that AI models only obtain processed model updates, rather than raw data. TEE: Data is processed in a secure 'safe' to protect user privacy. These technologies ensure the integrity and scarcity of user data, preventing data leakage. Blockchain Transparency: On chain Verification and Rating Mechanism: User contributed data is recorded on the blockchain to ensure transparent and fair reward distribution. The decentralized architecture allows users to participate without trusting third parties. Data processing flow: Users link their accounts (such as social media, health data, etc.) through the ORO platform, and after completing tasks, the data is encrypted and only used to optimize AI models. The data processing results are used for AI training to protect user privacy. Obtained $6 million in funding from a16z CSX *, Delphi Ventures *, NEAR Protocol, OrangeDAO, 0G, Ocular in April 25