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The user switched from Windows to Linux and replaced llamacpp with vllm, achieving a 30-50% speed improvement in AI inference.
Self-improving harnesses enable AI agents to autonomously rewrite their operating rules by analyzing execution traces, leading to a 60% performance boost. Research from Shanghai AI Lab introduces the Self-Harness framework, allowing lightweight models to outperform larger ones without manual engineering.