Comment by jillesvangurp

Not necessarily kill; but it will slowly push them off the critical path. Local agents can delegate to remote sub agents as needed but should default to local processing for low cost and latency reasons.

I think the notion of a one size fits all model that is a bit like a sports car in the sense that just get the biggest/fastest/best one is overkill; you use bigger models when needed. But they use a lot of resources and cost you a lot. A lot of AI work isn't solving important math or algorithm problems. Or leet coding exercises. Most AI work is mundane plumbing work, summarizing, a bit of light scripting/programming, tool calling, etc. With skills and guard rails, you actually want agents to follow those rather than get too creative. And you want them to work relatively quickly and not overthink things. Latency is important. You can actually use guard rails to decide when to escalate to bigger models and when not to.