
Episode 25: Nicklas Hansen, UCSD, on long-horizon planning and why algorithms don't drive research progress
Generally Intelligent
What Do You Think Makes a Great Researcher?
I feel that sometimes, if you do research, people often get very siloed into like the very specific sub-problem they have. We need to be better at also reading papers from other fields. There's a lot of existing tools that we could use in our research that we don't, similar because we don't know about them. The ML community is very focused on these benchmarks, which I think is good in some sense because a lot of progress has come from benchmarks. But it's also, we're also hurting a little bit in that there's a lots of things that are not being considered as state of the art by conferences. Orly: It's just very difficult to
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.