行业里动不动谈链上 AI,但真正阻塞 AI 上链的关键瓶颈 不是算力 不是费用,而是AI 模型无法在开放环境中安全运行 模型一旦上链,参数就等于是公开暴露,等同把核心资产挂到路灯上,这也是为什么大多数 AI 项目只能“链下跑模型 链上结算”,看上去是上链本质还是 Web2 #Zama 的价值在这里变得很硬核,FHE 让模型可以在加密状态下推理,开发者不需要暴露模型参数用户也不会暴露输入数据,两边都在加密层完成交互模型既能提供服务, 又能保持闭源 与链保持原生一致性 这会带来一个行业级结构变化,AI 模型第一次具备了链上部署的可行性,模型可以成为一种原生资产能被调用 能计费,但不会泄露算法或数据真正意义上打通了“模型即服务”的链上化路径 更妙的是这一切不需要牺牲去中心化和公开验证,FHE 计算可验的属性让透明度与隐私不再是对立面 @zama 等于为链上 AI 打开了正经的基础设施入口 让模型从不能上链变成可以安全上链 这个结构性变化会重新定义整个 AI x Web3 的商业格局 @zama #Zama $ZAMA #ZamaCreatorProgram
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