My reading list
Books
Here are books I'm reading these days.
Nita A. Farahany
The Battle for Your Brain: Defending the Right to Think Freely in the Age of NeurotechnologyJade McGlynn
Memory Makers: The Politics of the Past in Putin's RussiaGary Snyder
The Practice of the WildFlynn Coleman
A Human Algorithm – How artificial intelligence is redefining who we areDaron Acemoğlu, James A. Robinson
The Narrow Corridor: States, Societies, and the Fate of LibertyAndrew Chen
The Cold Start Problem – How to start and scale network effects.Tony Fadell
Build – An Unorthodox Guide to Making Things Worth MakingChris Bernhardt
Quantum Computing for EveryoneJennifer Aaker, Naomi Bagdonas
Humor, seriouslyJohn E. Doerr
Measure What Matters – OKRs – The simple idea that drives 10x growthCamille Fournier
The Manager’s Path – A Guide for Tech Leaders Navigating Growth and ChangeHeydon Pickering
Inclusive Design Patterns – Coding Accessibility Into Web DesignGary Kamiya
Cool Gray City of Love – 49 views of San Francisco.Thi Bui
The Best We Could DoMargaret Cho, W. Kamau Bell and others
The End of the Golden Gate – Writers on Loving and (Sometimes) Leaving San FranciscoSheera Frenkel, Cecilia Kang
An Ugly Truth – Inside Facebook’s Battle for DominationRob Reich, Mehran Sahami, Jeremy M. Weinstein
System Error – Where Big Tech Went Wrong and How We Can Reboot.
This book was recommended to me by Paul at the Stanford University bookstore. Thank you, Paul, it was worth reading!Steven Levitsky, Daniel Ziblatt
How Democracies Die – What History Reveals About Our FutureThomas Rid
Active Measures – The Secret History of Disinformation and Political Warfare.
Papers
Here are papers I'm reading these days.
Anthropic (October 2023): "Decomposing Language Models Into Understandable Components" (Not a paper but worth reading)
Josh A. Goldstein and Girish Sastry and Micah Musser and Renee DiResta and Matthew Gentzel and Katerina Sedova (January 2023): “Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations”
Department for State for Science, Innovation and Technology UK (March 2023): "A pro-innovation approach to AI regulation"
Yuntao Bai and Saurav Kadavath et al. (December 2022): “Constitutional AI: Harmlessness from AI Feedback”
Ethan Perez and Sam Ringer and Kamilė Lukošiūtė et al. (December 2022): "Discovering Language Model Behaviors with Model-Written Evaluations"
Deep Ganguli and Danny Hernandez et al. (June 2022): “Predictability and Surprise in Large Generative Models”, in Conference on Fairness, Accountability, and Transparency, ACM
Annie Y. Chen and Brendan Nyhan and Jason Reifler and Ronald E. Robertson and Christo Wilson (April 2022): “Subscriptions and external links help drive resentful users to alternative and extremist YouTube videos”
Deepak Kumar and Patrick Gage Kelley and Sunny Consolvo and Joshua Mason and Elie Bursztein and Zakir Durumeric and Kurt Thomas and Michael Bailey (June 2021): “Designing Toxic Content Classification for a Diversity of Perspectives”, in: USENIX Symposium on Usable Privacy and Security (SOUPS) 2021. August 8–10, 2021
Kurt Thomas and Devdatta Akhawe and Michael Bailey et al. (May 2021): “SoK: Hate, Harassment, and the Changing Landscape of Online Abuse”, in: Proceedings of the IEEE Symposium on Security and Privacy
Ahmet Aktay and Shailesh Bavadekar and Gwen Cossoul et al. (November 2020): “Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)”
Herbert Lin (June 2019): “The existential threat from cyber-enabled information warfare”, in: Bulletin of the Atomic Scientists, 75:4, 187-196
Sambasivan, Nithya and Batool, Amna et al. (May 2019): “‘They Don't Leave Us Alone Anywhere We Go’: Gender and Digital Abuse in South Asia”, in: CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, and Weng-Keen Wong (January 2019):“Sequential Feature Explanations for Anomaly Detection”, in ACM Trans. Knowl. Discov. Data 13, 1, Article 1, 22 pages
Hai Jin, Li-Jun Hou, Zheng-Guo Wang (2018): "Military Brain Science – How to influence future wars", in: Chinese Journal of Traumatology, Volume 21, Issue 5, 2018, Pages 277-280
Dario Amodei and Chris Olah and Jacob Steinhardt and Paul Christiano and John Schulman and Dan Mané (July 2016): “Concrete Problems in AI Safety”