The Knowledge Project Podcast, How Belichick Actually Makes Decisions (It’s Not What You Think), 2025/5/27 (工業系有許多頂尖的排球隊員，希望觀看這影片對您有幫助)
- Bill Belichick, The Art of Winning: Lessons from My Life in Football, Avid Reader Press / Simon & Schuster, May 6, 2025 (wiki: 以主教練身份帶領新英格蘭愛國者奪得6次超級盃，此外還以防守協調員身份跟隨紐約巨人贏得2次超級盃)
- Also by this channel: OpenAI Co-Founder: AI Is About to Go Parabolic! Here's What's Next
UC Berkeley EECS, Michael I. Jordan: A Collectivist Vision for AI, 2024/11/14 (At 1:02:00, Question about operations research)
- Michael I. Jordan, A Collectivist, Economic Perspective on AI, arXiv:2507.06268
The Pragmatic Engineer, The third golden age of software engineering – thanks to AI, with Grady Booch, 2026/2/5
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.)
孔祥重院士，你與人工智慧：與科技共進，中央研究院 (Academia Sinica)，2026年1月6日 (孔院士 1945 年出生，依然好學不倦，清楚說明 AI 的發展) (右下邊的人像可能要縮小，避免擋到投影片)
- 李岱君，「選學科不重要了，去好的環境更重要！」AI先驅孔祥重給工作者的建議，經理人，2026-01-22
- 當變化成為常態，「在哪學、跟誰學」比「學什麼」更穩定。
- 所謂的好環境，不一定公司福利跟薪水待遇相關。孔祥重認為，反而要看那個環境能不能讓你在短時間內快速進化，或者是否有優秀的戰友，可以彼此激發靈感、教學相長。
- 三點建議 ...
- 李岱君，當 AI 什麼都會做，人類該培養什麼能力？中研院院士孔祥重：專注這 2 件事，經理人，2026-02-11
- 系統設計 (system design) 能力， 問題架構能力 (problem formulation)
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