ChainCatcher 消息，Vitalik Buterin 更新了多项 CROPS AI 相关进展，并指出 “ CROPS 以太坊接入层 ” 与 “ CROPS AI ” 存在明显交集。他表示，若能通过零知识证明方式对远程大型语言模型进行付费调用，也可用于解决以太坊私有 RPC 读取问题。
与此同时，Deepseek v4 已发布， 2-bit 量化版本可在 90 GB 内运行，但当前在 Apple 硬件上速度更快；消息应用 messa 已支持 Telegram Alpha 功能；模型运行工具 luceb 在运行密集型模型时展现更高效率；本地 AI 录音工具 VoxTerm 仍在持续开发。Vitalik Buterin 还提到，面向特定应用微调的大型语言模型将有助于提升安全代码编写能力，以太坊相关场景也应有相应微调模型。
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