Mianbi Intelligence, led by 28-year-old CTO Zeng Guoyang, focuses on compressing large AI models for edge devices like smartphones, cars, and toys. Their approach emphasizes knowledge density doubling every 3.5 months, enabling smaller models like MiniCPM (2B parameters) to outperform larger ones. Edge AI must solve power, latency, and hardware issues while achieving personalized memory. The team developed the ForgeTrain training framework and a five-tier data hierarchy to ensure quality.