AI/ML●●Solid
HighSNR – Cut length and noise from your LLM context
Beats full-context GPT-4o at 80% token budget with zero AI overhead.
Big BrainSolve My Problem
gskm
652mo ago
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Reducing LLM input tokens by 70%
by Jbunga·May 12, 2026·56 points·33 comments
AI Analysis
●●●BangerZero to OneSolve My Problem
Cuts token costs 70% with receipts proving no accuracy drop on hard evals.
Strengths
- •Receipts feature provides verifiable spans showing exactly what text was retained
- •Zero accuracy drop on AIME math and GPQA science benchmarks at 70% compression
- •Works as a drop-in proxy before any model provider without changing existing code
Weaknesses
- •Another pre-processing hop adds latency before the actual model inference starts
- •Black-box compression logic makes it hard to audit why specific content was removed
Category
Target Audience
AI engineers building RAG systems and support copilots
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