I am currently a Horizon Junior Fellow at CSET. Previously, I worked at the Center for AI Safety. I did my undergrad in computer science at Yale.
This is my personal website, and it doesn't necessarily represent the opinions of my past or present employers. My past writings may no longer reflect my present views.
This website was last updated Apr 16 2024
It used to take me a long time to design a website like this. I did it in 30 minutes with an LLM.
Links
- Twitter/X
- Google Scholar
- Substack
- Beetss (I created the beet emoji)
- Randomness (test how random you are)
Posts
- Emergent Abilities in Large Language Models: An Explainer (CSET blog, April 2024)
- Multimodality, Tool Use, and Autonomous Agents: Large Language Models Explained, Part 3 (CSET blog, March 2024)
- How Developers Steer Language Model Outputs: Large Language Models Explained, Part 2 (CSET blog, March 2024)
- Keeping Up with the Frontier: Why Congress Should Codify Reporting Requirements For Advanced AI Systems (CSET blog, February 2024)
- Devising ML Metrics (CAIS blog, March 2024, with Dan Hendrycks, originally written 2022)
Papers
- Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, and Thomas Woodside, Responsible Reporting for Frontier AI Development (2024, arxiv preprint)
- Dan Hendrycks, Mantas Mazeika, and Thomas Woodside, An Overview of Catastrophic AI Risks (2023, arxiv preprint)
- Alexander Pan, Chan Jun Shern, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, and Dan Hendrycks, Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark (2023, International Conference on Machine Learning)
- Steven H Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, and Dan Hendrycks, MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding (2023, Empirical Methods in Natural Language Processing)
- Matthew Burtell and Thomas Woodside, Artificial Influence: An Analysis of AI-Driven Persuasion (2023, arxiv preprint)
Class papers
- A Mathematical Model Of Dissent (2023, Philosophy of Dissent)
- Investigating Trojan Attacks In Large Language Models (2022, Senior Thesis)
- A Simulator Philosophy Of Mind (2022, Philosophy of Mind)
- Is Non-Self a Problem for Buddhist Ethics? (2022, Buddhist Thought)
- Artificial Influence: An Analysis Of AI-Driven Persuasion (2022, with Matt Burtell, Computer Science and Global Affairs)
- The Unbearable Lightness Of Artificial Intelligence: The First Amendment's Uncertain Application To AI (2021, Computer Science and Law)
- A Creepy Feeling: Nixon's Decision to Disavow Biological Weapons (2021, The American Century)
- Home Prices And Rents During COVID-19 (2021, Economics of Cities)
- Controlling A Video Game With an EEG (2019, Applied Science Research)
- Conscious Of Receding Power: The Partisan Motivations Behind The Single-Member Districting Mandate of 1842 (2018, AP US History)