My colleagues and I are finding it difficult to replicate results from several well-received AI safety papers. Last week, I was working with a paper that has over 100 karma on LessWrong and discovered it is mostly false but gives nice-looking statistics only because of a very specific evaluation setup. Some other papers have even worse issues.
I know that this is a well-known problem that exists in other fields as well, but I can’t help but be extremely annoyed. The most frustrating part is that this problem should be solvable. If a junior-level person can spend 10-25 hours working with a paper and confirm how solid the results are, why don’t we fund people to actually just do that?
For ~200k a year, a small team of early career people could replicate/confirm the results of the healthy majority of important safety papers. I’m tempted to start an org/team to do this. Is there something I’m missing?
EDIT: I originally said "over 100 upvotes" but changed it to "over 100 karma." Thank you to @habryka for flagging that this was confusing.
We also went down a similar rabbit hole when trying to build off the paper "Language Models Learn to Mislead Humans via RLHF", and for what it's worth, it took far more work than 10-1525 hours. If you're interested, we ended up writing our results in this post.
The original comment says 10-25 not 10-15 but to respond directly to the concern: my original estimate here is for how long it would take to set everything up and get a sense of how robust the findings are for a certain paper. Writing everything up, communicating back and forth with original authors, and fact checking would admittedly take more time.
Also, excited to see the post! Would be interested in speaking with you further about this line of work.