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The speed with which AI is transforming our lives is head-spinning. Unlike previous technological revolutions – radio, nuclear fission or the internet – governments are not leading the way. We know that AI can be dangerous; chatbots advise teens on suicide and may soon be capable of instructing on how to create biological weapons. Yet there is no equivalent to the Federal Drug Administration, testing new models for safety before public release. Unlike in the nuclear industry, companies often don’t have to disclose dangerous breaches or accidents. The tech industry’s lobbying muscle, Washington’s paralyzing polarization, and the sheer complexity of such a potent, fast-moving technology have kept federal regulation at bay. European officials are facing pushback against rules that some claim hobble the continent’s competitiveness. Although several US states are piloting AI laws, they operate in a tentative patchwork and Donald Trump has attempted to render them invalid.
「软硬协同设计定律」首次建立可量化、可预测的软硬协同数学框架，通过对模型精度与推理延迟的联合建模，实现算法架构与硬件资源的系统级优化匹配，突破过去「先芯片后算法」或「先算法再找硬件」的割裂模式。