The Rise of Open Source AI
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?
Discussions with industry policy leadership highlight what organizations 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:
Cost Reductions and Model Utility
Startups, enterprises, and governments are switching to open AI models to cut costs, raising questions around when it makes less sense to use the most powerful models available.
Monetization and Value Capture
A central question is who makes money when models are free to use, and whether the companies building them can capture the value they create.
Infrastructure and Global Competition
The United States may need deep-pocketed players like Nvidia to build an open frontier model that can compete with China’s offerings, highlighting what is at stake if Chinese models become the global default.
Ecosystem Security Challenges
Recent attacks on open AI platforms are raising a difficult question: how do you keep an open ecosystem secure without closing it off?
