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