Our biggest bottlenecks are probably going to be some combination of:
Difficulty hiring people who are good at some combination of leading ML research projects, executing on ML research, and reasoning through questions about how to best attack prosaic alignment problems with applied research.
A lack of sufficiently compelling applied research available, as a result of theory not being well developed enough.
Difficulty with making the organization remain functional and coordinated as it scales.
Thanks for the kind words!
Our biggest bottlenecks are probably going to be some combination of:
Difficulty hiring people who are good at some combination of leading ML research projects, executing on ML research, and reasoning through questions about how to best attack prosaic alignment problems with applied research.
A lack of sufficiently compelling applied research available, as a result of theory not being well developed enough.
Difficulty with making the organization remain functional and coordinated as it scales.