Google’s Cloud AI chief on the three frontiers of model capability
What Happened
AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call "extensibility."
Our Take
Raw intelligence = obvious, we're all racing that. Response time = latency arms race, also obvious. Then "extensibility" lands like a word they invented to make it three instead of two.
Probably means better RAG, tool calling, function integration—basically making models work with your stack. That's real and important, but it's not a "frontier," it's table stakes now. Every vendor's doing it.
The framing feels like Google reaching for a narrative when there's only really two hard problems left: make 'em smarter and make 'em faster. Everything else is optimization.
What To Do
When evaluating models, ignore the third frontier pitch; focus on latency and capability for your actual use case.
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