精选理由
如果你关心AI发展背后的成本逻辑，这篇推文用中美支出对比说明了开源为什么能省钱出活，一句话点透。
Hugging Face CEO Clement Delangue指出，闭源前沿实验室在秘密和孤岛中重复训练，而开源科学和开源AI允许彼此分摊支出和算力，效率提升一个数量级。Rand Group预测美国2027年AI支出将达1万亿美元，中国仅需1230亿美元就能推出前沿模型。开源模式是中国能以更低成本实现前沿突破的关键原因。
原文 · Clement Delangue
How? Instead of closed-source frontier labs running the same training runs in secret and siloes, ope...
How? Instead of closed-source frontier labs running the same training runs in secret and siloes, open science and open-source AI allows them to mutualize spending and compute making them an order of magnitude more efficient! Rand Group @randgroup 🇺🇸 The United States will spend $1 trillion on AI in 2027. 🇨🇳 China will spend $123 billion and still ship frontier models. How? 🔗 View Quoted Tweet 💬 4 🔄 10 ❤️ 33 👀 3146 📊 8 ⚡