October 8, 2026 · John Schulman · Scribe notes by Idil Ada, Chenxi Ge, Joaquin, and Harry Hu Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Introductions Idil Ada: I am a Sophomore studying CS and Statistics. I am conducting AI safety research on how adversarial attack strength affects jailbreak robustness … Continue reading CS 2881 Fall 26: Lecture 6: Grading, Reward Hacking, and Alignment
CS 2881 Fall 26: Lecture 5: Economics of AI
October 1, 2026 · Erik Brynjolfsson and Chad Jones · Scribe notes by Kathryn, Eli, Sam, and Christopher Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Lecture video · Chad Jones’s slides · Experiment code Author Introductions Kathryn: Senior studying Computer Science and pursuing a concurrent master’s degree in Computer Science. I’ve … Continue reading CS 2881 Fall 26: Lecture 5: Economics of AI
CS 2881 Fall 26: Lecture 4: Recursive Self-Improvement and AI Trajectories
September 24, 2026 · Dwarkesh Patel and Daniel Kokotajlo · Scribe notes by Adam, Noa, Radha, Rosa, Niranjan, and Wency Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Intros Adam: I'm an MS/MBA student at Harvard and previously I worked as an ML engineer at Meta, building multimodal AI for Ray-Ban … Continue reading CS 2881 Fall 26: Lecture 4: Recursive Self-Improvement and AI Trajectories
CS 2881 Fall 26: Lecture 2: Cyber Capabilities
September 10, 2026 · Nicholas Carlini · Scribe notes by Lance Bae, Marina Lin, Sam Chen, and Raj Saha Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Introductions Lance: I am a Junior studying CS and Math. I think AI is cool. Marina: I’m a sophomore studying CS and Statistics. I … Continue reading CS 2881 Fall 26: Lecture 2: Cyber Capabilities
CS 2881 Fall 26: Lecture 3: Modern LLM Training and Inference
September 17, 2026 · Boaz Barak · Scribe notes by Daniel Schwartz, Dev Desai, and Ed Gerrard Lecture Video: https://youtu.be/Lp_e8Ts5-nE Slides: Presentation slides Authors’ Intro Daniel Schwartz: I’m a second-year MS/MBA student. I worked as a PM at multiple early-stage startups, most recently a startup focused on data privacy for AI use with sensitive … Continue reading CS 2881 Fall 26: Lecture 3: Modern LLM Training and Inference
CS 2881 Fall 26: Lecture 1: Introduction
Lecture Video: https://www.youtube.com/watch?v=j4WSktB5Ni0 Authors’ Intro Hanjing: I’m a Junior studying Applied Mathematics & CS. I’ve worked on research utilizing LLMs and ML in a plethora of fields, including sentiment analysis, code generation, natural language processing, and interpretability. On the other hand, I’m also fascinated by the theoretical foundations of AI alignment – which is why … Continue reading CS 2881 Fall 26: Lecture 1: Introduction
Math after AI
For a very long time, my favorite activity was to sit and think about mathematical questions. Staring at a blank sheet of paper, trying to grasp in my mind abstract concepts, bouncing ideas off colleagues and students. There is nothing quite like the feeling that you are exploring the unknown by only using your mind. … Continue reading Math after AI
Michael Rabin Memorial Conference
As part of Mind-IL.- Israel's Science and Academia Week (which also is around the Israeli election) there would be a special conference in honor of Michael Rabin with some fantastic lecturers.
All Watched Over
I’ve recently been rereading Steven Levy’s “Hackers” with my daughter. Levy describes how Brautigan’s 1967 poem “All watched over by machines of loving grace” was inspiring to the California “Hardware Hackers” of the 1970s and organizations such as Community Memory. In 2026, the phrase “all watched over by machines of loving grace” conjures an image … Continue reading All Watched Over
It’s 2030 and we fucked up. How did it happen?
[Loosely based on a lecture I gave in the recursive conference with the same title. Don’t take “2030” literally¹—it could also be 2035 or 2040. As always, opinions are my own and do not represent OpenAI or Harvard.] It is quite possible that AI will usher in a golden age for humanity. As Amodei writes … Continue reading It’s 2030 and we fucked up. How did it happen?
