For me, the most exciting part is the improved long-context performance. A lot of enterprise/RAG applications rely on synthesizing a bunch of possibly relevant data. Let's just say it's clearly a bottleneck in current models and I would expect to see a meaningful % improvement in various internal applications if long-context reasoning is up. Gemini was already one of my favorite models for this usecase.

So, I think these results are very interesting, if you know what features specifically you are using.