The thing about engineering is you don't just use the biggest bolt on the market on every bridge.
> In 2024, a "good" model is one that can be trusted to write a 800 line script. In 2026, it's a model that can be trusted to do gnarly high-level planning and execution both
This sounds a lot like having a single diamond-head hammer as the only tool in your toolbox. As suggested by the name, flash models are fast - sometimes I want to write the equivalent of fifty 800-line scripts. There is such a thing as good enough.
"It's good enough" was said about GPT-4, o1, o3, Opus 4 and more. Guess what happened? Newer models released, people updated their expectations of what LLMs can do, usage got more aggressive, and somehow, GPT-4 went from "good enough" to "obsolete trash".
If you have no imagination, then at least substitute your pattern recognition for it.
The world is hungry for capabilities. There are piles upon piles of tasks that aren't done by LLMs simply because LLMs aren't good enough to do them.
The thing a frontier model gives you is "you don't have to babysit a model to get it to do X", and that X gets more and more impressive release to release.
You do your AI-maximalism, and I'll stick to making trade-offs based on the needs of each piece of work.
I'll do more "per-task model selection" when AIs themselves get good at it.