吴声谈AI应用的未来:要经一个个场景逐步进化

Core Insights - The future of AI applications is expected to evolve through meticulously designed scenarios, with embodied intelligence entering a critical phase of consideration [1] - Examples such as Amazon's deployment of robots and Google's introduction of the VLA (Visual Language Action) Gemini Robotics illustrate the transition from perception and execution to cognitive capabilities [1] - Despite the consensus on the integration of hardware and software, the realization of humanoid robots' "iPhone moment" remains unclear, with many believing that the anticipated "Agent Year" of 2025 has not yet materialized [1] - The core challenge lies in the transformation of real productivity and the large-scale iteration of efficiency, which is still in a deep exploration phase and has not yet become best practice or disrupted existing paradigms [1]