纳须弥，于芥子：大模型之后，中国厂商正在把大模型塞进复杂系统 | IJCAI 2026 前瞻

TL;DR - A preview of IJCAI 2026 argues that Chinese AI competition is shifting from building stronger foundation models to integrating them into complex agentic and physical systems. The key differentiator is becoming system capability: planning, tool use, memory, interaction data, reinforcement learning, and real-world feedback loops.

• Alibaba is developing reusable agent skills through computer-use models, process reward models, tool calling, and skill libraries, while ByteDance is generating GUI-agent trajectories through exploration, reflection, and error recovery.
• Baidu, Tencent, and Huawei are embedding models into existing maps, search, recommendation, knowledge, infrastructure, and industrial systems rather than treating LLMs as standalone products.
• Classical AI areas—including planning, multi-agent coordination, robotics, reinforcement learning, and reward design—are being repurposed as components of LLM-centered systems.
• The article frames the broader transition as moving from prediction to intervention, where agents and robots must choose actions, assess consequences, and adapt continuously in digital or physical environments.