Hugging Face老大用历史时间线论证为什么开源先于通用AI，中国和美国在这波AI竞赛里的角色有了新视角。
Hugging Face CEO Clement Delangue分析指出，2016-2024年美国在开源AI领域领先，2024-2027年将在通用AI领域领先并受益。2024-2026年中国在开源AI方面领先，2026-2030年未知。他认为开源AI是通用AI的基础，能加速国家技术生态进步，OpenAI/Google从开放科学和开源AI起步，主导了AI领域。Meta由于改变策略，失去了类似机遇。
- 2016-2024: 🇺🇸leads in open-source AI - 2024-2027: 🇺🇸 leads in general AI & massively benefits ...
- 2016-2024: 🇺🇸leads in open-source AI - 2024-2027: 🇺🇸 leads in general AI & massively benefits - 2024-2026: 🇨🇳 leads in open-source AI - 2026-2030: ?? It's not open-source AI leadership OR general AI leadership, it's open-source AI leadership BEFORE general AI leadership! Open-source AI is the foundation of all AI. It does not only creates more innovation, competition, jobs, and prosperity now, it's also the best (only?) way for a national tech ecosystem to accelerate and ultimately reach the frontier of AI in general. Because open-source AI reduces siloes, shares learning and innovation, intensify emulation which all lead to an acceleration of the local ecosystem progress that no others can match if they're less open and collaborative. Same seems to be true for companies btw, OpenAI/Google started with open science and open-source AI which led to their (and Anthropic who spun off from OAI) domination. Meta could have done the same but decided to change course for some reason. 💬 4 🔄 0 ❤️ 12 👀 1114 📊 5 ⚡