Show HN: Hive Trust – Ed25519-signed benchmarks for every AI inference primitive
Hive Trust presents a framework for benchmarking AI inference primitives using Ed25519 signatures. The benchmarks are compared against established state-of-the-art (SOTA) methods, ensuring that the comparisons are relevant and robust. This approach aims to enhance the reliability and safety of AI systems by providing clear performance metrics.
- ▪Hive Trust benchmarks AI inference primitives using Ed25519 signatures.
- ▪The benchmarks are compared against high-citation published baselines for various tasks.
- ▪This framework aims to improve the reliability and safety of AI systems.
Opening excerpt (first ~120 words) tap to expand
Step 01 Pick the published SOTA We do not compare against straw men. Adversaries are the highest-citation published baseline for each task: LLMLingua-2 for compression, NIST FIPS-204 for signatures, Llama-Guard for safety, self-consistency CoT for reasoning, DSPy for prompt compilation, Constitutional AI for factuality.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Thehiveryiq.
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