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There is a popular assumption baked into many agentic AI systems: if an agent doesn't succeed on the first attempt, just let it try again. Give it more turns. Sample more trajectories. Add a reflection step. More compute at inference time should mean...

Every week someone asks me: "Which AI model should I use?" My answer has been the same since January: yes. Not all of them. Not randomly. But if you're using a single model for everything in April 2026, you're bringing a hammer to a world that needs ...
