Hugging Face 政策负责人谈开源 AI 的成本、风险与权衡
原标题：Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs
AI 摘要
TechCrunch 的 Equity 播客采访了 Hugging Face 首席政策官兼战略高级副总裁 Irene Solaiman，讨论企业在开源 AI 模型上构建应用时需考虑的成本、风险与权衡。话题包括初创公司、企业和政府为降低成本转向开源模型、免费模型的价值捕获问题、美国是否需要 Nvidia 等资金雄厚的参与者打造开源前沿模型以应对中国开源模型，以及近期针对开源 AI 平台的攻击引发的开放与安全平衡问题。
正文节选
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of TechCrunch’s Equity podcast, Rebecca Bellan caught up with Irene Solaiman, Chief Policy Officer and SVP of Strategy at Hugging Face, about wha