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颜值糕(乞讨版)
颜值糕(乞讨版)
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Base链DeAI基建,主打联邦学习,原始数据留本地,只上传模型更新。 ✅牛津团队|DCG领投|以太坊基金会资助|入选CB Insights AI100 四大落地: ▪️UNDP:CARiFIN拉美普惠气候保险 ▪️英国NHS:眼科、糖尿病医疗AI本地训练 ▪️阿里云Qwen:大模型去中心化联邦微调 ▪️Bittensor子网UID‑96,边缘小模型训练 赛道区别:Bittensor侧重推理;FLOCK侧重隐私联邦学习、实体落地。 ⚠️早期项目,永续合约上线,盘面波动风险极高。
颜值糕(乞讨版)
颜值糕(乞讨版)
$FLOCK Project Overview FLock.io is a decentralized AI infrastructure project built on the Base (Ethereum L2) chain, focusing on federated learning technology. Its core is decentralized AI model training, where users submit raw data to centralized servers. Uploading model updates, while protecting data privacy, users can contribute computing power and data AI model training to earn token rewards. The project provides AI task scheduling and model validation, allowing developers, data providers, and computing power providers to jointly build AI tools, emphasizing the DeAI narrative of "data belongs to the user." The team has an academic background from Oxford University, secured funding led by DCG, received funding from the Ethereum Foundation, won NeurIPS-related awards academically, was selected for the CB Insights AI100 list, has pilot collaborations with UNDP and healthcare institutions, and is a top-tier project in the DeAI sector Looking at global industry positioning, the two main representatives in the DeAI sector are: Bittensor focuses on model inference competition; FLOCK focuses on privacy federated learning and real-world scenario implementation, with more pilot projects in real industries, and already in the medical field. However, the project is still in its early stages, with only a small number of on-chain training tasks completed, and ecosystem scale still lags behind Bittensor; Maximum token supply is 1 billion, currently circulating about 460 million. Perpetual contracts will launch at 6 PM tonight, with high volatility risk in new coin markets. #Financial Report Observer: Oracle AI Cloud Revenue Up 121%

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