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

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)  
• janus，30年資深美國律師用ChatGPT當他的助手寫訴狀，結果法官、對方律師、甚至連他自己都傻了，techbang，2023年6月10日 (產生不存在的案例)
• 屬於非線性規劃的章節，不知道同學怎麼問的，ChatGPT 給的答案是用決策樹求解？

Business Analytics Laboratory (商業分析實驗室)

(News) A warm welcome to Enzo, Michael, and Paul from Mapúa University, who have joined the lab as undergraduate exchange students.

(News) 恭喜可勳 (Ryan)，第一次實驗室論文報告就主動使用英語

(News) 恭喜庭煜 (Angus)，獲國科會補助，將前往義大利米蘭參加 ICIEA-EU 2026 並發表論文

The coming wave

Mustafa Suleyman and Michael Bhaskar, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Crown, September 5, 2023

洪慧芳譯，控制邊緣：未來科技與全球秩序的抉擇，感電出版，2024

AI Alignment

Articles: 

• Medha Bankhwal, Ankit Bisht, Michael Chui, Roger Roberts, and Ashley van Heteren, AI for social good: Improving lives and protecting the planet, McKinsey, 2024.
• Yoshua Bengio et al., Managing extreme AI risks amid rapid progress, Science, 20 May 2024, Vol 384, Issue 6698, pp. 842-845 (arXiv)
• Jiaming Ji et al., AI Alignment: A Comprehensive Survey, arXiv:2310.19852 (website)
• Jack Stilgoe, Technological risks are not the end of the world, Science, 18 Apr 2024, Vol 384, Issue 6693.

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, over 200k citations for each person.
• 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.)