Redwood Research
The Redwood Research stream is looking for fast empirical iterators and strategists to work on control research.
Stream overview
- High-stakes control
- Diffuse control
- Model organisms
- Generalization and alignment
- AI futurism
Mentors
Alek Westover is a Member of Technical Staff at Redwood Research. He studied CS and Math at MIT, and previously did research in theoretical computer science.
Alex Mallen is a Member of Technical Staff at Redwood Research. He studied CS at the University of Washington, and previously worked at EleutherAI.
Aryan Bhatt is a Member of Technical Staff at Redwood Research. He studied Math and CS at Hunter College, and attended MATS in 2023. He studies AI Control.
Buck is the CEO of Redwood Research.
Cody Rushing is a Member of Technical Staff at Redwood Research. He studied CS at UT Austin before attending MATS in 2023.
James Lucassen is a Member of Technical Staff at Redwood Research. He studied CS at Harvey Mudd College, and previously did AI safety research at MIRI and CMU.
Julian Stastny is a Member of Technical Staff at Redwood Research. He has a Master's in ML from the University of Tübingen, and was previously a researcher at the Center on Long-Term Risk.
Vivek Hebbar is a Member of Technical Staff at Redwood Research. He attended Stanford before attending MATS in 2022, and researches AI control.
Mentorship style
Depending on the mentor:
- 30-60 min weekly meeting
- potentially daily stand-ups
- Slack messages
Representative papers
the Ctrl-Z paper, the original control paper, the alignment-faking paper
Scholars we are looking for
We are looking for people who are:
- fast at empirical ML iteration.
- thoughtful and articulate about AI safety.
- strong at quantitative reasoning.
Redwood scholars, Redwood employees
Project selection
We will assign projects by default but are open to getting pitched on projects.