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Could better human–LLM coordination reduce token costs without changing the model?

This story is from 2026-08-28. It is preserved in the archive; the latest stories are on the live feed.

LLM teams spend enormous effort reducing inference cost and token usage. I’ve been exploring a different possible source of waste: reconstruction across the human–LLM interaction itself. The hypothesis is simple: Same frozen weights. Same next-token prediction. But if an interaction progressively c…

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  1. 2026-08-28 20:28 · r/artificial
    Could better human–LLM coordination reduce token costs without changing the model?

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