In safety research labs in academe, we do not have a resource edge compared to the rest of the field.
We do not have large GPU clusters, so we cannot train GPT-2 from scratch or fine-tune large language models in a reasonable amount of time.
We also do not have many research engineers (currently zero) to help us execute projects. Some of us have safety projects from over a year ago on the backlog because there are not enough reliable people to help execute the projects.
These are substantial bottlenecks that more resources could resolve.
In safety research labs in academe, we do not have a resource edge compared to the rest of the field.
We do not have large GPU clusters, so we cannot train GPT-2 from scratch or fine-tune large language models in a reasonable amount of time.
We also do not have many research engineers (currently zero) to help us execute projects. Some of us have safety projects from over a year ago on the backlog because there are not enough reliable people to help execute the projects.
These are substantial bottlenecks that more resources could resolve.