Fudan University / 复旦大学
Fudan University appears in Vol.114 AI的2025和DeepSeek们的未来 | 对谈复旦张奇教授 as the academic home of 张奇. The source uses Zhang’s Fudan role and his work on MOSS to bring a university research perspective into a discussion otherwise shaped by DeepSeek, OpenAI, tools, agents, and AI commercialization.
For the wiki, Fudan is relevant here less as a full institutional profile than as the context for a natural-language-processing view of large models. The episode connects academic model work to practical judgments about LLM Statistical Boundary, Model Post-Training Bottleneck, and Scenario-Specific AI.
EP266 当AI重构大学，我们该如何定义“好专业”？ adds a teaching-practice branch. The source mentions Fudan software teachers who worry that students using AI to finish early coding assignments may weaken foundational training, while a generative software-development course pushes students toward system design, module boundaries, iterative architecture, and AI coding verification.
Connections
- 张奇 — Fudan professor and episode guest.
- MOSS — Fudan-associated model project named through Zhang’s role.
- DeepSeek, OpenAI, and ChatGPT — model ecosystem discussed from the academic perspective.
- LLM Statistical Boundary, Causal AI, and Model Post-Training Bottleneck — main concepts Fudan’s presence helps ground in the source.
- AI Hollowing Foundational Training / AI导致基础训练空心化, AI University Assessment Reform, AI Engineering Thinking, and New Engineering Education / 新工科教育 — EP266 teaching and software-education branch.