本地AI變得更加私人，但代價是什麼？
評論者測試本地ai模型，發現興奮、困惑和沮喪。隱私利益與高硬體成本相平衡。
a reviewer from the verge, antonio g. di benedetto, is experimenting with local ai models on an m5 ultra mac studio with 256gb of unified memory. they installed the open-source hermes agent, which allows for local llms, and are testing various models. the reviewer finds using local ai to be exciting, but also overwhelming and frustrating due to the numerous available models and their specialized uses. local ai offers better privacy than cloud services, but requires expensive hardware. this development could make ai more accessible to users prioritizing data privacy, but the high hardware costs may be a barrier.