There are people who are extremely token-efficient at steering the model. They can work on tens or thirties of PRs at the same time and more, using only a modest amount of tokens while delivering good work.
In contrast, many people let the model run wild because it's frontier, with vague prompts so the model runs like a headless fly and tokens just blow up.
It reminded me that some professors are very good at directing labs so PhD students are extremely productive, while in other labs many PhDs spend years searching and still cannot graduate.
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