- After dropping out of a machine learning PhD at Stanford, Daniel Ziegler needed to decide what to do next. He’d always enjoyed building stuff and wanted to shape the development of AI, so he thought a research engineering position at an org dedicated to aligning AI with human interests could be his best option.
- Catherine Olsson, who has also worked at OpenAI, and left her computational neuroscience PhD to become a research engineer at Google Brain. She and Daniel share this piece of advice for those curious about this career path: just dive in. If you’re trying to get good at something, just start doing that thing, and figure out that way what’s necessary to be able to do it well.
- Daniel emphasizes that the most important thing was to practice exactly those things that he knew he needed to be able to do.
- Google brain and open AI
- 2 parts of AI system
- Giving correct objective
- Optimizing for objective robustly
- AI safety is general