Podcast plans to ask whether open models need trainability metrics, not just scores
cwolferesearch · x · 2026-07-21
The post announces a podcast with @xeophon about the **state of open models** and asks what questions should be prioritized. The concrete topic raised in the thread is whether open models should be evaluated differently from closed ones — for example, by **trainability** instead of only **benchmark scores**. The value here is the framing: moving the discussion from “who tops the charts” to how useful an open model is for adaptation and downstream work.
Related event: Nathan Lambert to Discuss Open Source Models in Upcoming Podcast(2 posts)→
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