I've been watching the model release cadence for a while and something feels different lately. The shift from "model that can chat" to "system that can actually do multi-step work autonomously" has gone from being a research blog talking point to just... table stakes for anything new coming out.
What's interesting isn't just the models themselves - it's how quickly enterprise tooling caught up. A couple years ago you had to really DIY agent orchestration. Now every major platform has some version of it baked in, and the patterns are actually starting to converge.
The part I find hard to wrap my head around is the cost trajectory. The models that were considered elite-tier and expensive to run are now being compressed and distilled to the point where running them locally is becoming realistic for a lot of use cases. That changes the calculus for a lot of projects.
Anyone else noticing that the conversations are shifting? Not just "which model should I use" but more "how do I architect the system around the model"? It feels like we crossed some kind of threshold quietly and now everyone's just catching up.
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