The speaker argues that dedicated teams should experimentally scale new harness designs, including through post-training, because doing so could yield meaningful knowledge or capability gains.

“And I think we're going to, if we want to explore new harnesses, there needs to be teams that are dedicated to.”

“actually running meaningful experiments over like scaling out new harnesses like maybe post-train scaling out on different harness designs like i think we can actually get very meaningful knowledge or gains from doing this kind of thing whether it's an rlm or whether it's something different and that's exciting because i think for example if you train a lot on fable for a long time was the best model for rlm because they had dynamic workflows and it was”