every week a new "frontier" model drops and everyone reads benchmarks... but the only thing that matters is: where does it fit YOUR work? here's what i do: > run my real tasks through it > find 3-5 spots where it's significantly better than my current model > push it until it breaks that's how i figured out i'll never be using Muse Wonder, even if it's cracked for specific coding workflows

every week a new "frontier" model drops and everyone reads benchmarks... but the only thing that matters is: where does it fit YOUR work? here's what i do: > run my real tasks through it > find 3-5 spots where it's significantly better than my current model > push it until it breaks that's how i figured out i'll never be using Muse Wonder, even if it's cracked for specific coding workflows

Machina(@EXM7777)

评估新模型应基于实际应用场景而非基准测试，通过实际任务测试其优势。

1. 测试新模型时应聚焦3-5个实际任务场景的显著性能提升 2. Muse Wonder虽在编码工作流中表现优异但未被采用 3. 模型评估需持续压力测试直至暴露缺陷

模型评估, 技术选型, AI, 实践方法