本期嘉宾：1998 年菲尔兹奖得主、剑桥大学教授 Tim Gowers，Polymath 项目创始人，以组合数学工作和在线协作模式闻名。
【时间线】
02:00 英式圆周日的尴尬：14/3 vs 3/14，建议 4 月 31 日可惜不存在
06:30 授爵仪式：从 David Cameron 来信到女王剑礼，幼子的 "打仗" 疑问
15:20 数学之路：四位名师接力培养，IMO 1981 入选的转折点
28:00 AI 时代的不确定性：2-3 年内的两种情景研判
35:40 计算器类比：为什么 AI 时代仍需掌握基础数学
42:10 Polymath 与社区：AI 作为新协作者，数学界利益与科技巨头的错位
51:30 热情 vs 天赋：从背 π 到背 2 的幂，"cooked talent" 的真谛
58:00 授爵背后的家庭故事与数学热情的 "症状"
【核心观点摘录】
"We live in a very interesting time... It could be that AI will be a wonderful tool but not much more than that, or it might be that within two or three years AI can do much more mathematics than any human can do."
"It's still a very good idea to study maths... If you can do long multiplication, it teaches you abstract concepts, and you're using the calculator much more effectively than if you're using it as a pure black box."
"The interests of mathematicians are not always exactly the same as the interests of big tech companies... Their interests are making money or developing AGI, whereas our interests are developing tools that help us do mathematics more efficiently and more pleasurably."
"Raw talent is not as important as enthusiasm. Enthusiasm leads to the dedication needed to develop talent — not raw but cooked talent."
【适合谁听】
* 对 AI 时代数学教育焦虑的家长与学生
* 关注 Polymath 协作模式的研究者
* 思考学术社区与科技产业关系的从业者
* 相信热情胜过天赋的学习者