为何设备端自主AI无法跟上

There is a growing belief that on-device AI will liberate users from reliance on cloud computing, offering benefits such as privacy, zero latency, and no API costs. Users can run their own agents on personal devices. However, for the majority of users with standard devices, the experience of using local models often feels like a regression compared to what is achievable with cutting-edge models. The rapid advancements in open weights models are impressive, but the physical limitations of consumer hardware remain significant and are unlikely to change soon. This presents ongoing challenges for the practical application of on-device AI for users without high-end setups.