本地开源AI在笔记本电脑上的性能提升速度超过摩尔定律两倍！
TL;DR · AI 摘要
2024年5月至2026年5月，本地开源AI模型在笔记本电脑上的性能提升速度超过摩尔定律两倍。
核心要点
- Llama 3 70B 到 DeepSeek V4 Flash 提升了4.7倍
- 模型性能每10.7个月翻倍，远超摩尔定律的24个月
- 硬件配置未变，但模型效率提升显著
结构提纲
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思维导图
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- 本地开源AI模型性能提升
- 硬件限制
- MacBook Pro内存未变
- 模型进步
- 性能提升4.7倍
- 对比分析
- 超越摩尔定律两倍
金句 / Highlights
值得收藏与分享的关键句。
Llama 3 70B 到 DeepSeek V4 Flash 的性能提升了4.7倍，而硬件配置保持不变。
模型性能每10.7个月翻倍，远超摩尔定律的24个月周期。
本地开源AI模型在笔记本电脑上的性能提升速度超过摩尔定律两倍。
Between May 2024 and May 2026, the most expensive MacBook Pro you could buy stayed at 128 GB of unified memory. The hardware ceiling barely moved.
But the smartest open-weight model https://t.co/zr5JFxMdjN" / X
clem 🤗 on X: "Local open-weight AI on a laptop has been improving more than twice as fast as Moore's Law! Between May 2024 and May 2026, the most expensive MacBook Pro you could buy stayed at 128 GB of unified memory. The hardware ceiling barely moved. But the smartest open-weight model https://t.co/zr5JFxMdjN" / X
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clem 
Local open-weight AI on a laptop has been improving more than twice as fast as Moore's Law! Between May 2024 and May 2026, the most expensive MacBook Pro you could buy stayed at 128 GB of unified memory. The hardware ceiling barely moved. But the smartest open-weight model from
you could actually run on it went from a score of 10 (Llama 3 70B) to 47 (DeepSeek V4 Flash on
's mixed-Q2 GGUF) on the
Intelligence Index. That is 4.7× in 24 months, or a doubling of intelligence every 10.7 months. Moore's Law (transistor count) doubles every 24 months. Local open-weight AI on a laptop has been improving more than twice as fast as Moore's Law, on completely unchanged hardware.
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