Apoorv Agrawal, MS&E 435 Economics of the AI Supercycle, Stanford University, 2026 Spring. (A seminar unpacks the economics at each layer of the AI stack. Ten guest speakers are industrial leaders.)
Stanford GSB, Daniela Amodei, Co-Founder and President of Anthropic: Building AI the Right Way, 2026/5/9
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)
Demis Hassabis, Using AI to Accelerate Scientific Discovery, Institute for Ethics in AI Oxford, 2022.
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