阶跃星辰姜大昕：下一代智能硬件，比拼的不是硬件而是智能

Core Insights - The efficiency of model inference is identified as a key factor for the large-scale application of AI, requiring optimization across the industry supply chain and system model co-design [1] - The founder of Jiyue Xingchen, Jiang Daxin, highlighted that the application of large models has transitioned from a chat-based era to a task-oriented era since the beginning of this year [1] - Future intelligent terminals will be characterized by their ability to perform tasks, be omnipresent, have memory, and evolve, with a focus on intelligence rather than hardware [1] Industry Developments - Jiyue Xingchen collaborates with multiple domestic computing chip manufacturers, achieving a maximum context inference efficiency of its Step3 domestic card that is three times higher than that of DeepSeek R1 [1] - The effective working time of agents in the digital world is expected to increase, with a focus on enhancing model inference capabilities and generalization [1] - Agents are anticipated to transition from the digital realm to the physical world, evolving from experience-based learning to self-evolution, as human data is limited and biased [1]