Nice talks on AI, geopolitics, optimization, SCM, and more

Latent Space, [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton, 2026/1/1

• Top publications in AI: NeuIPS, ICLR, ...
• First author Kevin Wang: Developed a Bayesian optimization ML model at Cadence Design Systems during his freshman winter vacation. 
• Advisor Benjamin Eysenbach: As of February 14, 2026, he has 7,089 citations after completing his PhD in 2023. His doctoral research was supervised by Ruslan Salakhutdinov and Sergey Levine.
• Hsiang-Tsung Kung, "Learn from the masters" in the wonderful talk You and AI (slide in English, talk in mandarin)
• Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach, 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities, NeurIPS 2025. (OpenReview is a great way to gain different perspectives on a problem. You can find a newer version on arXiv.)

2025 Franz Edelman Award

2025 Edelman Competition (video, special issue in the INFORMS Journal on Applied Analytics)

Ryan Cooper, Lindsay Golich, Craig Griffin, Jono Hailstone, Jim Miller, Gary Sutton (2026) Project 4:05: Optimizing USA Cycling’s Women’s Team Pursuit Gold. INFORMS Journal on Applied Analytics 56(1):5-22. (2025 Franz Edelman Award Winner) (Keywords: Edelman Award team pursuit, operations research aerodynamics, optimization, mixed-integer programming, sports analytics, Olympic cycling)

Nonlinear Optimization (非線性最佳化)

• Course objective: Nonlinear optimization is widely used in engineering, business, data science, and machine learning. We will introduce fundamental algorithms through examples in this course, enabling students to read research articles, formulate their own problems, and solve them efficiently using the appropriate algorithms.

Use LLM (e.g., ChatGPT) to learn *** and its impact

Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568. 

Be careful

• 陳曉莉，MIT研究顯示，習慣用 AI 寫文章會讓腦袋變笨，iThome，2025-06-20 (Nataliya Kosmyna, et al., Your Brain on ChatGPT, arXiv:2506.08872)
• Hao-Ping (Hank) Lee et al., The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers, 2025, CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Article No.: 1121, Pages 1 - 22. https://doi.org/10.1145/3706598.371377
• Seyed Mahdi Hosseini Maasoum and Guy Lichtinger, Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting Data, SSRN, 11 Nov 2025.
• Nollie Chen, 22%初級職位人間蒸發？哈佛研究揭露 AI 裁員真相 (new)
• 李先泰，AI人才新生存地圖！吳恩達點出「能回答兩件事」的人最貴，會寫程式不再是護身符？，數位時代， 2026.01.15 (吳恩達 Andrew Ng) (new)

Manny Li，Google公布AI提示萬用公式！掌握「21字黃金法則」：先穩80分基本功再求好，bnext，2025.08.05

Barbara Oakley, Accelerate Your Learning with ChatGPT, Coursera

中原隨筆 (My days at CYCU)

在台南住了20幾年，因為種種因素，來到中原大學任教。懷念台南的好天氣、上下班不太塞車、和美食。秉持共好的精神，紀錄我在中原的所見所聞。

• 商業分析實驗室 (Business Analytics Laboratory)
• 指引 (Guides)，論文報告 (Group meeting)
• 新課：Nonlinear Optimization (非線性最佳化)