Open source AI models are steadily moving into the mainstream, with enterprises, governments, and startups all drawn to the promise of reduced costs, greater control, and increased flexibility. Yet as more capable models become freely available, a pressing question emerges: how do companies actually capture value from them? And with Chinese open models gaining momentum, can American players stay competitive?

Tune in via Apple Podcasts or Spotify to hear the full discussion, which covers:

- Why startups, enterprises, and governments are turning to open AI models to cut costs — and when it makes less sense to rely on the most powerful models available. - Who actually 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 capable of competing 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?

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