Open source AI is booming. Hugging Face explains who profits.

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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?

随着企业、政府和初创公司都依赖于更低成本、更多控制权和更高灵活性的承诺，开源模型正变得越来越主流。但随着能力越来越强的模型变得更加容易获取，公司该如何获取价值？随着中国开源模型取得进展，美国参与者能否跟上步伐？

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 what startups need to know before building on open models, from choosing the right tools and infrastructure to navigating the trade-offs shaping the future of open AI.

在本期 TechCrunch 的 Equity 播客中，Rebecca Bellan 采访了 Hugging Face 的首席政策官兼战略高级副总裁 Irene Solaiman，探讨了初创公司在基于开源模型进行构建之前需要了解的内容，从选择合适的工具和基础设施，到应对塑造开源人工智能未来的权衡取舍。

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Topics AI, Hugging Face, Irene Solaiman, nvidia, open source, Startups

请在 YouTube、Apple Podcasts、Overcast、Spotify 和所有播客平台上订阅 Equity。您也可以在 X 和 Threads 上关注 @EquityPod。主题：人工智能、Hugging Face、Irene Solaiman、英伟达、开源、初创公司。