Tweet 1 Every LLM call burns GPU cycles on tokens that never needed to run. Padding. Boilerplate. Irrelevant context. I built SuperCompress — a tiny CPU policy that cuts 65% of tokens before inference. Open source. MIT. Free tier. supercompress.vercel.app Tweet 2 The problem is worse than most people realize. At ~50M agent turns/day: → 100B tokens wasted daily → 24K GPU hours → 1,526 tons CO₂ → 6.5M L cooling water We're burning through resources...