Tim Scarfe: preference

Transcript context

…Right. And I and I think that's probably why the RL the the current state of the RL algorithms that we're trying to apply to this just isn't working. Because in order to learn how to get these breakthroughs, to to understand what the sort of nuanced reasoning is to get these puzzles, you have to sample them. And that it's it's such a rare space. You know, it's it's such a specific kind of reasoning that's required to get to the the specific breakthrough that this kind of technique doesn't work. Right? And there's definitely a feeling in the community that, like, okay, this is how you just solve things now. Like, we have RL. Yes. We can get these language models to do what we want. It doesn't work for this for this dataset. Guys, it's been an absolute honor having you on the show. Just before we go, are you hiring? Because we we've got a we've got a great audience of ML engineers and scientists, and I think working for Socano would be the dream job. That's very kind of you. Yes. We are definitely hiring. And as I said earlier in this interview, I honestly want to give people as much research freedom as possible. I'm willing to make that bet. Right? I think things that are very interesting will come out of this, and I think we've already seen plenty of interesting things coming out of this. So if you want to work on what you think is interesting and important, come to Japan.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.