开源模式正日益成为主流，因为企业、政府和初创企业都依赖降低成本、提高控制力和灵活性的希望。 但是，随着能力日益增强的模型变得更加自由，公司如何获取价值？而随着中国开放模式的逐渐流行，美国球员能否跟上？
在TechCrunch的股权播客这一集中，Rebecca Bellan追上Hugging Face战略首席政策官兼SVP的艾琳·索莱曼(Irene Solaiman)，讲述了创业者在建立开放模式之前需要知道什么，从选择正确的工具和基础设施到导航塑造开放AI未来的权衡。
听全集听闻：
——为什么初创企业，企业，政府和政府要转而开放AI模型来削减成本，当使用最强大的模型不合理时。
——当模型自由使用时谁能赚钱，建设这些模型的公司是否能够抓住它们创造的价值。
为什么美国可能需要像Nvidia这样的深层玩家来建立一个可以与中国竞争的开放前沿模式，如果中国模式成为全球默认，那有什么利害关系。
- 最近对开放的AI平台的袭击如何提出了一个难题：你如何保持开放的生态系统安全而不关闭它？
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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?
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.
Listen to the full episode to hear about:
- Why startups, enterprises, and governments are switching to open AI models to cut costs, and when it makes less sense to use the most powerful models.
- Who makes money when the models are free to use, and whether the companies building them can capture the value they create.
- Why the U.S. may need deep-pocketed players like Nvidia to build an open frontier model that can compete with China’s, and what’s at stake if Chinese models become the global default.
- How recent attacks on open AI platforms are raising a difficult question: how do you keep an open ecosystem secure without closing it off?
Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.
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